From 9a5f0ca655316ce70ba92a8fd1a49ea004aed238 Mon Sep 17 00:00:00 2001 From: bin_ze Date: Thu, 13 Apr 2023 13:48:56 +0800 Subject: [PATCH] add BEV segmentaion for BEVFormer --- LICENSE | 201 ++++ README.md | 76 ++ debug_test.py | 268 ++++++ debug_train.py | 260 +++++ docker/Dockerfile | 126 +++ docs/can_bus.ipynb | 218 +++++ docs/getting_started.md | 31 + docs/install.md | 64 ++ docs/prepare_dataset.md | 41 + figs/000868a72138448191b4092f75ed7776.jpg | Bin 0 -> 1851670 bytes figs/0141260a339d4b37addb55818bbae718.jpg | Bin 0 -> 1824046 bytes figs/arch.png | Bin 0 -> 265865 bytes figs/sota_results.png | Bin 0 -> 204949 bytes icon/car.png | Bin 0 -> 1817 bytes projects/__init__.py | 0 .../configs/_base_/datasets/coco_instance.py | 48 + .../_base_/datasets/kitti-3d-3class.py | 140 +++ .../configs/_base_/datasets/kitti-3d-car.py | 138 +++ projects/configs/_base_/datasets/lyft-3d.py | 136 +++ .../configs/_base_/datasets/nuim_instance.py | 59 ++ projects/configs/_base_/datasets/nus-3d.py | 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tools/fp16/dist_train.sh create mode 100644 tools/fp16/train.py create mode 100755 tools/misc/browse_dataset.py create mode 100755 tools/misc/fuse_conv_bn.py create mode 100755 tools/misc/print_config.py create mode 100755 tools/misc/visualize_results.py create mode 100755 tools/model_converters/convert_votenet_checkpoints.py create mode 100755 tools/model_converters/publish_model.py create mode 100755 tools/model_converters/regnet2mmdet.py create mode 100755 tools/test.py create mode 100755 tools/train.py create mode 100644 utils/compose_map_det_res.py create mode 100644 utils/compose_small_base_vidio.py create mode 100644 utils/compose_vidio.py create mode 100644 utils/padding_seg_to_det.py create mode 100644 utils/test_grid_sample.py diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..261eeb9 --- /dev/null +++ b/LICENSE @@ -0,0 +1,201 @@ + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND 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We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright [yyyy] [name of copyright owner] + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. diff --git a/README.md b/README.md new file mode 100644 index 0000000..b3f68c4 --- /dev/null +++ b/README.md @@ -0,0 +1,76 @@ +# BEVFormer: a Cutting-edge Baseline for Camera-based Detection +注:本代码库在BEVFormer算法所提供的代码的基础上新增了BEV分割代码 + +![](./figs/000868a72138448191b4092f75ed7776.jpg) +![](./figs/0141260a339d4b37addb55818bbae718.jpg) + + +# Abstract +In this work, the authors present a new framework termed BEVFormer, which learns unified BEV representations with spatiotemporal transformers to support multiple autonomous driving perception tasks. In a nutshell, BEVFormer exploits both spatial and temporal information by interacting with spatial and temporal space through predefined grid-shaped BEV queries. To aggregate spatial information, the authors design a spatial cross-attention that each BEV query extracts the spatial features from the regions of interest across camera views. For temporal information, the authors propose a temporal self-attention to recurrently fuse the history BEV information. +The proposed approach achieves the new state-of-the-art **56.9\%** in terms of NDS metric on the nuScenes test set, which is **9.0** points higher than previous best arts and on par with the performance of LiDAR-based baselines. + + +# Methods +![method](./figs/arch.png) + + +# Getting Started +- [Installation](docs/install.md) +- [Prepare Dataset](docs/prepare_dataset.md) +- [Run and Eval](docs/getting_started.md) + +# Model Zoo + +| Backbone | Method | Lr Schd | NDS| mAP|memroy | Config | Download | +| :---: | :---: | :---: | :---: | :---:|:---:| :---: | :---: | +| R50 | BEVFormer-tiny_fp16 | 24ep | 35.9|25.7 | - |[config](projects/configs/bevformer_fp16/bevformer_tiny_fp16.py) |[model](https://github.com/zhiqi-li/storage/releases/download/v1.0/bevformer_tiny_fp16_epoch_24.pth)/[log](https://github.com/zhiqi-li/storage/releases/download/v1.0/bevformer_tiny_fp16_epoch_24.log) | +| R50 | BEVFormer-tiny | 24ep | 35.4|25.2 | 6500M |[config](projects/configs/bevformer/bevformer_tiny.py) |[model](https://github.com/zhiqi-li/storage/releases/download/v1.0/bevformer_tiny_epoch_24.pth)/[log](https://github.com/zhiqi-li/storage/releases/download/v1.0/bevformer_tiny_epoch_24.log) | +| [R101-DCN](https://github.com/zhiqi-li/storage/releases/download/v1.0/r101_dcn_fcos3d_pretrain.pth) | BEVFormer-small | 24ep | 47.9|37.0 | 10500M |[config](projects/configs/bevformer/bevformer_small.py) |[model](https://github.com/zhiqi-li/storage/releases/download/v1.0/bevformer_small_epoch_24.pth)/[log](https://github.com/zhiqi-li/storage/releases/download/v1.0/bevformer_small_epoch_24.log) | +| [R101-DCN](https://github.com/zhiqi-li/storage/releases/download/v1.0/r101_dcn_fcos3d_pretrain.pth) | BEVFormer-base | 24ep | 51.7|41.6 |28500M |[config](projects/configs/bevformer/bevformer_base.py) | [model](https://github.com/zhiqi-li/storage/releases/download/v1.0/bevformer_r101_dcn_24ep.pth)/[log](https://github.com/zhiqi-li/storage/releases/download/v1.0/bevformer_r101_dcn_24ep.log) | + +# origin + +- [x] 3D Detection checkpoints +- [x] 3D Detection code +- [x] Initialization + +# New +- [x] BEV Segmentation checkpoints +- [x] BEV Segmentation code +- [x] multi-task visualization +- [x] weight + +# 改进 +**map分支:仅训练分割分支,目前只支持单卡训练** + +| model | Epoch | Divider | pred Crossing | Boundary | mIoU | +|--------------------| ----- | ------- | ------------- | -------- |------------| +| [BEVFomer-small](projects/configs/bevformer/bevformer_small_seg.py) | 5 | 0.4684 | 0.3328 | 0.4775 | **0.4262** | + + +**双分支:实现了检测与分割的联合训练,并支持并行** + +det: + +| model | Epoch | mAP | NDS | +|:---------------------------------------------------------------------------------------:| ----- | ---------------------- |-------------------------| +| [BEVFomer-small-150x150](projects/configs/bevformer/bevformer_small_seg_det.py) | 19 | 0.3820 | 0.4869 | +| [BEVFomer-small-300x300](projects/configs/bevformer/bevformer_small_seg_det_300x300.py) | 18 | 0.391 | 0.5031 | +| [BEVFomer-base-150x150](projects/configs/bevformer/bevformer_base_seg_det_150x150.py) | 23 | 0.4186| 0.5132| + + +seg: + +| model | Epoch | Divider | pred Crossing | Boundary | mIoU | +| -------------------------- | ----- | ---------- | ------------- | ---------- | ---------- | +| [BEVFomer-small-150x150](projects/configs/bevformer/bevformer_small_seg_det.py) | 19 | 0.4531 | 0.3105 | 0.469 | 0.4109 | +| [BEVFomer-small-300x300](projects/configs/bevformer/bevformer_small_seg_det_300x300.py) | 18 | 0.4329 | 0.322 | 0.4845 | 0.4132 | +| [BEVFomer-base-150x150](projects/configs/bevformer/bevformer_base_seg_det_150x150.py) | 23 | **0.4881** | **0.3392** | **0.4955** | **0.4409** | + + +# 模型权重 +如有需要,可联系:binze.zero@gmail.com + +# Acknowledgement +本项目参考了BEVerse, open-mmlab, BEVDet, HDMapNet等代码库,在这里表示感谢! + diff --git a/debug_test.py b/debug_test.py new file mode 100644 index 0000000..91d93c4 --- /dev/null +++ b/debug_test.py @@ -0,0 +1,268 @@ +# --------------------------------------------- +# Copyright (c) OpenMMLab. All rights reserved. +# --------------------------------------------- +# Modified by Zhiqi Li +# --------------------------------------------- +import sys +sys.path.insert(0, '/home/guozebin/work_code/BEVFormer/') +import os +os.environ['CUDA_VISIBLE_DEVICES'] = '0' +import argparse +import torch +import warnings +from mmcv import Config, DictAction +from mmcv.cnn import fuse_conv_bn +from mmcv.parallel import MMDataParallel, MMDistributedDataParallel +from mmcv.runner import (get_dist_info, init_dist, load_checkpoint, + wrap_fp16_model) + +#from mmdet3d.apis import single_gpu_test +from projects.mmdet3d_plugin.apis.test import single_gpu_test +from mmdet3d.datasets import build_dataset +from projects.mmdet3d_plugin.datasets.builder import build_dataloader +from mmdet3d.models import build_model +from mmdet.apis import set_random_seed +from projects.mmdet3d_plugin.apis.test import multi_gpu_test +from mmdet.datasets import replace_ImageToTensor +import time +import os.path as osp + + +def parse_args(): + parser = argparse.ArgumentParser( + description='MMDet test (and eval) a model') + parser.add_argument('--config', default='projects/configs/bevformer/bevformer_small_seg_det.py', help='test config file path') + parser.add_argument('--checkpoint', default='ckpts/epoch_18.pth', help='checkpoint file') + parser.add_argument('--out', help='output result file in pickle format') + parser.add_argument( + '--fuse-conv-bn', + action='store_true', + help='Whether to fuse conv and bn, this will slightly increase' + 'the inference speed') + parser.add_argument( + '--format-only', + action='store_true', + help='Format the output results without perform evaluation. It is' + 'useful when you want to format the result to a specific format and ' + 'submit it to the test server') + parser.add_argument( + '--eval', + type=str, + #nargs='+', + default=True, + help='evaluation metrics, which depends on the dataset, e.g., "bbox",' + ' "segm", "proposal" for COCO, and "mAP", "recall" for PASCAL VOC') + parser.add_argument('--show', action='store_true', help='show results') + parser.add_argument('--show-dir', default='/home/guozebin/work_code/BEVFormer/visual_small_seg_det', help='directory where results will be saved') + #parser.add_argument('--show-dir', default=None, help='directory where results will be saved') + parser.add_argument( + '--gpu-collect', + action='store_true', + help='whether to use gpu to collect results.') + parser.add_argument( + '--tmpdir', + help='tmp directory used for collecting results from multiple ' + 'workers, available when gpu-collect is not specified') + parser.add_argument('--seed', type=int, default=0, help='random seed') + parser.add_argument( + '--deterministic', + action='store_true', + help='whether to set deterministic options for CUDNN backend.') + parser.add_argument( + '--cfg-options', + nargs='+', + action=DictAction, + help='override some settings in the used config, the key-value pair ' + 'in xxx=yyy format will be merged into config file. If the value to ' + 'be overwritten is a list, it should be like key="[a,b]" or key=a,b ' + 'It also allows nested list/tuple values, e.g. key="[(a,b),(c,d)]" ' + 'Note that the quotation marks are necessary and that no white space ' + 'is allowed.') + parser.add_argument( + '--options', + nargs='+', + action=DictAction, + help='custom options for evaluation, the key-value pair in xxx=yyy ' + 'format will be kwargs for dataset.evaluate() function (deprecate), ' + 'change to --eval-options instead.') + parser.add_argument( + '--eval-options', + nargs='+', + action=DictAction, + help='custom options for evaluation, the key-value pair in xxx=yyy ' + 'format will be kwargs for dataset.evaluate() function') + parser.add_argument( + '--launcher', + choices=['none', 'pytorch', 'slurm', 'mpi'], + default='none', + help='job launcher') + parser.add_argument('--local_rank', type=int, default=0) + args = parser.parse_args() + if 'LOCAL_RANK' not in os.environ: + os.environ['LOCAL_RANK'] = str(args.local_rank) + + if args.options and args.eval_options: + raise ValueError( + '--options and --eval-options cannot be both specified, ' + '--options is deprecated in favor of --eval-options') + if args.options: + warnings.warn('--options is deprecated in favor of --eval-options') + args.eval_options = args.options + return args + + +def main(): + args = parse_args() + + assert args.out or args.eval or args.format_only or args.show \ + or args.show_dir, \ + ('Please specify at least one operation (save/eval/format/show the ' + 'results / save the results) with the argument "--out", "--eval"' + ', "--format-only", "--show" or "--show-dir"') + + if args.eval and args.format_only: + raise ValueError('--eval and --format_only cannot be both specified') + + if args.out is not None and not args.out.endswith(('.pkl', '.pickle')): + raise ValueError('The output file must be a pkl file.') + + cfg = Config.fromfile(args.config) + if args.cfg_options is not None: + cfg.merge_from_dict(args.cfg_options) + # import modules from string list. + if cfg.get('custom_imports', None): + from mmcv.utils import import_modules_from_strings + import_modules_from_strings(**cfg['custom_imports']) + + # import modules from plguin/xx, registry will be updated + if hasattr(cfg, 'plugin'): + if cfg.plugin: + import importlib + if hasattr(cfg, 'plugin_dir'): + plugin_dir = cfg.plugin_dir + _module_dir = os.path.dirname(plugin_dir) + _module_dir = _module_dir.split('/') + _module_path = _module_dir[0] + + for m in _module_dir[1:]: + _module_path = _module_path + '.' + m + print(_module_path) + plg_lib = importlib.import_module(_module_path) + else: + # import dir is the dirpath for the config file + _module_dir = os.path.dirname(args.config) + _module_dir = _module_dir.split('/') + _module_path = _module_dir[0] + for m in _module_dir[1:]: + _module_path = _module_path + '.' + m + print(_module_path) + plg_lib = importlib.import_module(_module_path) + + # set cudnn_benchmark + if cfg.get('cudnn_benchmark', False): + torch.backends.cudnn.benchmark = True + + cfg.model.pretrained = None + # in case the test dataset is concatenated + samples_per_gpu = 1 + if isinstance(cfg.data.test, dict): + cfg.data.test.test_mode = True + samples_per_gpu = cfg.data.test.pop('samples_per_gpu', 1) + if samples_per_gpu > 1: + # Replace 'ImageToTensor' to 'DefaultFormatBundle' + cfg.data.test.pipeline = replace_ImageToTensor( + cfg.data.test.pipeline) + elif isinstance(cfg.data.test, list): + for ds_cfg in cfg.data.test: + ds_cfg.test_mode = True + samples_per_gpu = max( + [ds_cfg.pop('samples_per_gpu', 1) for ds_cfg in cfg.data.test]) + if samples_per_gpu > 1: + for ds_cfg in cfg.data.test: + ds_cfg.pipeline = replace_ImageToTensor(ds_cfg.pipeline) + + # init distributed env first, since logger depends on the dist info. + if args.launcher == 'none': + distributed = False + else: + distributed = True + init_dist(args.launcher, **cfg.dist_params) + + # set random seeds + if args.seed is not None: + set_random_seed(args.seed, deterministic=args.deterministic) + + # build the dataloader + dataset = build_dataset(cfg.data.test) + data_loader = build_dataloader( + dataset, + samples_per_gpu=samples_per_gpu, + workers_per_gpu=cfg.data.workers_per_gpu, + dist=distributed, + shuffle=False, + nonshuffler_sampler=cfg.data.nonshuffler_sampler, + ) + + # build the model and load checkpoint + cfg.model.train_cfg = None + model = build_model(cfg.model, test_cfg=cfg.get('test_cfg')) + fp16_cfg = cfg.get('fp16', None) + if fp16_cfg is not None: + wrap_fp16_model(model) + checkpoint = load_checkpoint(model, args.checkpoint, map_location='cpu') + if args.fuse_conv_bn: + model = fuse_conv_bn(model) + # old versions did not save class info in checkpoints, this walkaround is + # for backward compatibility + if 'CLASSES' in checkpoint.get('meta', {}): + model.CLASSES = checkpoint['meta']['CLASSES'] + else: + model.CLASSES = dataset.CLASSES + # palette for visualization in segmentation tasks + if 'PALETTE' in checkpoint.get('meta', {}): + model.PALETTE = checkpoint['meta']['PALETTE'] + elif hasattr(dataset, 'PALETTE'): + # segmentation dataset has `PALETTE` attribute + model.PALETTE = dataset.PALETTE + + if not distributed: + #assert False + model = MMDataParallel(model, device_ids=[0]) + outputs = single_gpu_test(model, data_loader, args.show, args.show_dir) + else: + model = MMDistributedDataParallel( + model.cuda(), + device_ids=[torch.cuda.current_device()], + broadcast_buffers=False) + #outputs = custom_multi_gpu_test(model, data_loader, args.tmpdir, args.gpu_collect) + outputs = multi_gpu_test(model, data_loader, args.tmpdir, + args.gpu_collect) + rank, _ = get_dist_info() + if rank == 0: + if args.out: + print(f'\nwriting results to {args.out}') + assert False + #mmcv.dump(outputs['bbox_results'], args.out) + kwargs = {} if args.eval_options is None else args.eval_options + kwargs['jsonfile_prefix'] = osp.join('test', args.config.split( + '/')[-1].split('.')[-2], time.ctime().replace(' ', '_').replace(':', '_')) + if args.format_only: + dataset.format_results(outputs, **kwargs) + + if args.eval: + eval_kwargs = cfg.get('evaluation', {}).copy() + print(eval_kwargs) + print('.................') + # hard-code way to remove EvalHook args + for key in [ + 'interval', 'tmpdir', 'start', 'gpu_collect', 'save_best', + 'rule' + ]: + eval_kwargs.pop(key, None) + eval_kwargs.update(dict(metric=args.eval, **kwargs)) + print(eval_kwargs) + print(dataset.evaluate(outputs, **eval_kwargs)) + + +if __name__ == '__main__': + main() diff --git a/debug_train.py b/debug_train.py new file mode 100644 index 0000000..ffd3805 --- /dev/null +++ b/debug_train.py @@ -0,0 +1,260 @@ +# --------------------------------------------- +# Copyright (c) OpenMMLab. All rights reserved. +# --------------------------------------------- +# Modified by Zhiqi Li +# --------------------------------------------- +from __future__ import division + +import os +os.environ['CUDA_VISIBLE_DEVICES'] = '0' + +import argparse +import copy +import mmcv +import time +import torch +import warnings +from mmcv import Config, DictAction +from mmcv.runner import get_dist_info, init_dist +from os import path as osp + +from mmdet import __version__ as mmdet_version +from mmdet3d import __version__ as mmdet3d_version +#from mmdet3d.apis import train_model + +from mmdet3d.datasets import build_dataset +from mmdet3d.models import build_model +from mmdet3d.utils import collect_env, get_root_logger +from mmdet.apis import set_random_seed +from mmseg import __version__ as mmseg_version + +from mmcv.utils import TORCH_VERSION, digit_version + + +def parse_args(): + parser = argparse.ArgumentParser(description='Train a detector') + parser.add_argument('--config', default='./projects/configs/bevformer/bevformer_small_seg_det_200x200.py', help='train config file path') + parser.add_argument('--work-dir', help='the dir to save logs and models') + parser.add_argument( + '--resume-from', help='the checkpoint file to resume from') + parser.add_argument( + '--no-validate', + action='store_true', + help='whether not to evaluate the checkpoint during training') + group_gpus = parser.add_mutually_exclusive_group() + group_gpus.add_argument( + '--gpus', + type=int, + help='number of gpus to use ' + '(only applicable to non-distributed training)') + group_gpus.add_argument( + '--gpu-ids', + type=int, + nargs='+', + help='ids of gpus to use ' + '(only applicable to non-distributed training)') + parser.add_argument('--seed', type=int, default=0, help='random seed') + parser.add_argument( + '--deterministic', + action='store_true', + help='whether to set deterministic options for CUDNN backend.') + parser.add_argument( + '--options', + nargs='+', + action=DictAction, + help='override some settings in the used config, the key-value pair ' + 'in xxx=yyy format will be merged into config file (deprecate), ' + 'change to --cfg-options instead.') + parser.add_argument( + '--cfg-options', + nargs='+', + action=DictAction, + help='override some settings in the used config, the key-value pair ' + 'in xxx=yyy format will be merged into config file. If the value to ' + 'be overwritten is a list, it should be like key="[a,b]" or key=a,b ' + 'It also allows nested list/tuple values, e.g. key="[(a,b),(c,d)]" ' + 'Note that the quotation marks are necessary and that no white space ' + 'is allowed.') + parser.add_argument( + '--launcher', + choices=['none', 'pytorch', 'slurm', 'mpi'], + default='none', + help='job launcher') + parser.add_argument('--local_rank', type=int, default=0) + parser.add_argument( + '--autoscale-lr', + action='store_true', + help='automatically scale lr with the number of gpus') + args = parser.parse_args() + if 'LOCAL_RANK' not in os.environ: + os.environ['LOCAL_RANK'] = str(args.local_rank) + + if args.options and args.cfg_options: + raise ValueError( + '--options and --cfg-options cannot be both specified, ' + '--options is deprecated in favor of --cfg-options') + if args.options: + warnings.warn('--options is deprecated in favor of --cfg-options') + args.cfg_options = args.options + + return args + + +def main(): + args = parse_args() + + cfg = Config.fromfile(args.config) + if args.cfg_options is not None: + cfg.merge_from_dict(args.cfg_options) + # import modules from string list. + if cfg.get('custom_imports', None): + from mmcv.utils import import_modules_from_strings + import_modules_from_strings(**cfg['custom_imports']) + + # import modules from plguin/xx, registry will be updated + if hasattr(cfg, 'plugin'): + if cfg.plugin: + import importlib + if hasattr(cfg, 'plugin_dir'): + plugin_dir = cfg.plugin_dir + _module_dir = os.path.dirname(plugin_dir) + _module_dir = _module_dir.split('/') + _module_path = _module_dir[0] + + for m in _module_dir[1:]: + _module_path = _module_path + '.' + m + print(_module_path) + plg_lib = importlib.import_module(_module_path) + else: + # import dir is the dirpath for the config file + _module_dir = os.path.dirname(args.config) + _module_dir = _module_dir.split('/') + _module_path = _module_dir[0] + for m in _module_dir[1:]: + _module_path = _module_path + '.' + m + print(_module_path) + plg_lib = importlib.import_module(_module_path) + + from projects.mmdet3d_plugin.bevformer.apis.train import custom_train_model + # set cudnn_benchmark + if cfg.get('cudnn_benchmark', False): + torch.backends.cudnn.benchmark = True + + # work_dir is determined in this priority: CLI > segment in file > filename + if args.work_dir is not None: + # update configs according to CLI args if args.work_dir is not None + cfg.work_dir = args.work_dir + elif cfg.get('work_dir', None) is None: + # use config filename as default work_dir if cfg.work_dir is None + cfg.work_dir = osp.join('./work_dirs', + osp.splitext(osp.basename(args.config))[0]) + # if args.resume_from is not None: + if args.resume_from is not None and osp.isfile(args.resume_from): + cfg.resume_from = args.resume_from + if args.gpu_ids is not None: + cfg.gpu_ids = args.gpu_ids + else: + cfg.gpu_ids = range(1) if args.gpus is None else range(args.gpus) + if digit_version(TORCH_VERSION) == digit_version('1.8.1') and cfg.optimizer['type'] == 'AdamW': + cfg.optimizer['type'] = 'AdamW2' # fix bug in Adamw + if args.autoscale_lr: + # apply the linear scaling rule (https://arxiv.org/abs/1706.02677) + cfg.optimizer['lr'] = cfg.optimizer['lr'] * len(cfg.gpu_ids) / 8 + + # init distributed env first, since logger depends on the dist info. + if args.launcher == 'none': + distributed = False + else: + distributed = True + init_dist(args.launcher, **cfg.dist_params) + # re-set gpu_ids with distributed training mode + _, world_size = get_dist_info() + cfg.gpu_ids = range(world_size) + + # create work_dir + mmcv.mkdir_or_exist(osp.abspath(cfg.work_dir)) + # dump config + cfg.dump(osp.join(cfg.work_dir, osp.basename(args.config))) + # init the logger before other steps + timestamp = time.strftime('%Y%m%d_%H%M%S', time.localtime()) + log_file = osp.join(cfg.work_dir, f'{timestamp}.log') + # specify logger name, if we still use 'mmdet', the output info will be + # filtered and won't be saved in the log_file + # TODO: ugly workaround to judge whether we are training det or seg model + if cfg.model.type in ['EncoderDecoder3D']: + logger_name = 'mmseg' + else: + logger_name = 'mmdet' + logger = get_root_logger( + log_file=log_file, log_level=cfg.log_level, name=logger_name) + + # init the meta dict to record some important information such as + # environment info and seed, which will be logged + meta = dict() + # log env info + env_info_dict = collect_env() + env_info = '\n'.join([(f'{k}: {v}') for k, v in env_info_dict.items()]) + dash_line = '-' * 60 + '\n' + logger.info('Environment info:\n' + dash_line + env_info + '\n' + + dash_line) + meta['env_info'] = env_info + meta['config'] = cfg.pretty_text + + # log some basic info + logger.info(f'Distributed training: {distributed}') + logger.info(f'Config:\n{cfg.pretty_text}') + + # set random seeds + if args.seed is not None: + logger.info(f'Set random seed to {args.seed}, ' + f'deterministic: {args.deterministic}') + set_random_seed(args.seed, deterministic=args.deterministic) + cfg.seed = args.seed + meta['seed'] = args.seed + meta['exp_name'] = osp.basename(args.config) + + model = build_model( + cfg.model, + train_cfg=cfg.get('train_cfg'), + test_cfg=cfg.get('test_cfg')) + model.init_weights() + + logger.info(f'Model:\n{model}') + datasets = [build_dataset(cfg.data.train)] + if len(cfg.workflow) == 2: + val_dataset = copy.deepcopy(cfg.data.val) + # in case we use a dataset wrapper + if 'dataset' in cfg.data.train: + val_dataset.pipeline = cfg.data.train.dataset.pipeline + else: + val_dataset.pipeline = cfg.data.train.pipeline + # set test_mode=False here in deep copied config + # which do not affect AP/AR calculation later + # refer to https://mmdetection3d.readthedocs.io/en/latest/tutorials/customize_runtime.html#customize-workflow # noqa + val_dataset.test_mode = False + datasets.append(build_dataset(val_dataset)) + if cfg.checkpoint_config is not None: + # save mmdet version, config file content and class names in + # checkpoints as meta data + cfg.checkpoint_config.meta = dict( + mmdet_version=mmdet_version, + mmseg_version=mmseg_version, + mmdet3d_version=mmdet3d_version, + config=cfg.pretty_text, + CLASSES=datasets[0].CLASSES, + PALETTE=datasets[0].PALETTE # for segmentors + if hasattr(datasets[0], 'PALETTE') else None) + # add an attribute for visualization convenience + model.CLASSES = datasets[0].CLASSES + custom_train_model( + model, + datasets, + cfg, + distributed=distributed, + validate=(not args.no_validate), + timestamp=timestamp, + meta=meta) + + +if __name__ == '__main__': + main() diff --git a/docker/Dockerfile b/docker/Dockerfile new file mode 100644 index 0000000..1a9f35e --- /dev/null +++ b/docker/Dockerfile @@ -0,0 +1,126 @@ + +ARG CUDA_VERSION=11.3.1 +ARG OS_VERSION=20.04 +# pull a prebuilt image +FROM nvidia/cuda:${CUDA_VERSION}-cudnn8-devel-ubuntu${OS_VERSION} + +# setup timezone +ENV TZ=US/Pacific +RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone + +SHELL ["/bin/bash", "-c"] + +# Required to build Ubuntu 20.04 without user prompts with DLFW container +ENV DEBIAN_FRONTEND=noninteractive + +# Install requried libraries +RUN apt-get update && apt-get install -y software-properties-common +RUN add-apt-repository ppa:ubuntu-toolchain-r/test +RUN apt-get update && apt-get install -y --no-install-recommends \ + libcurl4-openssl-dev \ + wget \ + zlib1g-dev \ + git \ + sudo \ + ssh \ + libssl-dev \ + pbzip2 \ + pv \ + bzip2 \ + unzip \ + devscripts \ + lintian \ + fakeroot \ + dh-make \ + build-essential \ + curl \ + ca-certificates \ + libx11-6 \ + nano \ + graphviz \ + libgl1-mesa-glx \ + openssh-server \ + apt-transport-https + +# Install other dependencies +RUN apt-get update && apt-get install -y --no-install-recommends \ + libgtk2.0-0 \ + libcanberra-gtk-module \ + libsm6 libxext6 libxrender-dev \ + libgtk2.0-dev pkg-config \ + libopenmpi-dev \ + && sudo rm -rf /var/lib/apt/lists/* + +# Install Miniconda +RUN wget \ + https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh \ + && mkdir /root/.conda \ + && bash Miniconda3-latest-Linux-x86_64.sh -b \ + && rm -f Miniconda3-latest-Linux-x86_64.sh + +ENV CONDA_DEFAULT_ENV=${project} +ENV CONDA_PREFIX=/root/miniconda3/envs/$CONDA_DEFAULT_ENV +ENV PATH=/root/miniconda3/bin:$CONDA_PREFIX/bin:$PATH + +# install python 3.8 +RUN conda install python=3.8 +RUN alias python='/root/miniconda3/envs/bin/python3.8' + +# Set environment and working directory +ENV CUDA_HOME=/usr/local/cuda +ENV LD_LIBRARY_PATH=$CUDA_HOME/lib64:$CUDA_HOME/extras/CUPTI/lib64/:$LD_LIBRARY_PATH +ENV PATH=$CUDA_HOME/bin:$PATH +ENV CFLAGS="-I$CUDA_HOME/include $CFLAGS" +ENV FORCE_CUDA="1" +ENV PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/root/miniconda3/envs/bin:$PATH + +# install pytorch +RUN pip install torch==1.9.1+cu111 torchvision==0.10.1+cu111 torchaudio==0.9.1 -f https://download.pytorch.org/whl/torch_stable.html + +# install opencv +RUN python -m pip install opencv-python==4.5.5.62 + +# install gcc +RUN conda install -c omgarcia gcc-6 + +# install torchpack +RUN git clone https://github.com/zhijian-liu/torchpack.git +RUN cd torchpack && python -m pip install -e . + +# install other dependencies +RUN python -m pip install mmcv-full==1.4.0 -f https://download.openmmlab.com/mmcv/dist/cu111/torch1.9.0/index.html +RUN python -m pip install pillow==8.4.0 \ + tqdm \ + mmdet==2.14.0 \ + mmsegmentation==0.14.1 \ + numba \ + mpi4py \ + nuscenes-devkit \ + setuptools==59.5.0 + +# install mmdetection3d from source +ENV TORCH_CUDA_ARCH_LIST="6.0 6.1 7.0+PTX" +ENV TORCH_NVCC_FLAGS="-Xfatbin -compress-all" +ENV CMAKE_PREFIX_PATH="$(dirname $(which conda))/../" + +COPY . /BEVFormer + +RUN apt-get update && apt-get install -y ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6 \ + && apt-get clean \ + && rm -rf /var/lib/apt/lists/* +RUN cd /BEVFormer && git clone https://github.com/open-mmlab/mmdetection3d.git && \ + cd /BEVFormer/mmdetection3d && \ + git checkout v0.17.1 && \ + python -m pip install -r requirements/build.txt && \ + python -m pip install --no-cache-dir -e . + +# install timm +RUN python -m pip install timm +RUN pip install timm==0.6.12 torchmetrics==0.3.2 prettytable==3.5.0 + +# libraries path +RUN ln -s /usr/local/cuda/lib64/libcusolver.so.11 /usr/local/cuda/lib64/libcusolver.so.10 + +WORKDIR /BEVFormer +USER root +RUN ["/bin/bash"] \ No newline at end of file diff --git a/docs/can_bus.ipynb b/docs/can_bus.ipynb new file mode 100644 index 0000000..05aa346 --- /dev/null +++ b/docs/can_bus.ipynb @@ -0,0 +1,218 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "from nuscenes.can_bus.can_bus_api import NuScenesCanBus\n", + "nusc_can = NuScenesCanBus(dataroot='can_bus')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "tags": [] + }, + "source": [ + "The CAN bus is a vehicle bus over which information such as position, velocity, acceleration, steering, lights, battery and many more are submitted. We recommend you start by reading the [README](https://github.com/nutonomy/nuscenes-devkit/tree/master/python-sdk/nuscenes/can_bus/README.md)\n", + "In BEVFormer, we only use the `pose` fields." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "scene_name = 'scene-0001'\n", + "pose_list = nusc_can.get_messages(scene_name, 'pose')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Each value of `pose_list` contains: \n", + "- `orientation`: a Quaternion representation of orientation\n", + "- `pos`: a global postion of ego-car\n", + "- `vel`: the velocity of ego-car\n", + "- `rotation_rate`: rotation rate" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'accel': [0.05252802768009661, 0.9291747528573647, 9.513756543139106],\n", + " 'orientation': [0.7479305678167669, 0.0, 0.0, 0.6637769698666026],\n", + " 'pos': [1010.1436201720262, 610.8882352282457, 0.0],\n", + " 'rotation_rate': [0.040320225059986115,\n", + " -0.002563952235504985,\n", + " 0.28492140769958496],\n", + " 'utime': 1531883530467511,\n", + " 'vel': [4.1688763951334185, 0.0, 0.0]}" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pose_list[0] # one example" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['accel', 'orientation', 'pos', 'rotation_rate', 'utime', 'vel'])" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pose_list[0].keys()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In [data_converter](https://github.com/zhiqi-li/BEVFormer/blob/master/tools/data_converter/nuscenes_converter.py), we use the following function to obatain the can bus information for each sample." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def _get_can_bus_info(nusc, nusc_can_bus, sample):\n", + " scene_name = nusc.get('scene', sample['scene_token'])['name']\n", + " sample_timestamp = sample['timestamp']\n", + " try:\n", + " pose_list = nusc_can_bus.get_messages(scene_name, 'pose')\n", + " except:\n", + " return np.zeros(18) # serveral scenes do not have can bus information.\n", + " can_bus = []\n", + " # during each scene, the first timestamp of can_bus may be large than the first sample's timestamp\n", + " last_pose = pose_list[0]\n", + " for i, pose in enumerate(pose_list):\n", + " if pose['utime'] > sample_timestamp:\n", + " break\n", + " last_pose = pose # we obtain the can_bus information which is recorded before the sample recorded.\n", + " \n", + " _ = last_pose.pop('utime') # useless\n", + " pos = last_pose.pop('pos') \n", + " rotation = last_pose.pop('orientation')\n", + " \n", + " # one can_bus record contains 18 numbers\n", + " can_bus.extend(pos) # [0:3] is the position\n", + " can_bus.extend(rotation) # [3:7] is the orientation\n", + " \n", + " for key in last_pose.keys():\n", + " can_bus.extend(pose[key]) # accel: [7, 10], rotation_rate: [10: 13], velocity: [13: 16]\n", + " \n", + " # the last two numbers are reserved for later calculation of rotation angle.\n", + " can_bus.extend([0., 0.])\n", + " \n", + " \n", + " return np.array(can_bus)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In [dataset](https://github.com/zhiqi-li/BEVFormer/blob/master/projects/mmdet3d_plugin/datasets/nuscenes_dataset.py#L174), we reorganize the can_bus." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + " # actually, the nuScenes provides the rotation and translation of each sample, which is more accurate than we obtained from can bus. \n", + " rotation = Quaternion(input_dict['ego2global_rotation'])\n", + " translation = input_dict['ego2global_translation']\n", + " \n", + " can_bus = input_dict['can_bus']\n", + " can_bus[:3] = translation # We use the provided translation and rotation to repalce the original translation and rotation in can bus\n", + " can_bus[3:7] = rotation\n", + " \n", + " patch_angle = quaternion_yaw(rotation) / np.pi * 180 # we get the yaw angle of ego car\n", + " can_bus[-2] = patch_angle / 180 * np.pi # this angle is kept unchanged.\n", + " can_bus[-1] = patch_angle # this angle is used to compute the detal of adjacent timestamps." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In [dataset](https://github.com/zhiqi-li/BEVFormer/blob/master/projects/mmdet3d_plugin/datasets/nuscenes_dataset.py#L93), we compute the delta orientation and position of adjacent timestamps" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + " prev_pos = None\n", + " prev_angle = None\n", + " for i, each in enumerate(queue):\n", + " metas_map[i] = each['img_metas'].data\n", + " if i == 0:\n", + " metas_map[i]['prev_bev'] = False\n", + " prev_pos = copy.deepcopy(metas_map[i]['can_bus'][:3])\n", + " prev_angle = copy.deepcopy(metas_map[i]['can_bus'][-1])\n", + " metas_map[i]['can_bus'][:3] = 0\n", + " metas_map[i]['can_bus'][-1] = 0\n", + " else:\n", + " metas_map[i]['prev_bev'] = True\n", + " tmp_pos = copy.deepcopy(metas_map[i]['can_bus'][:3])\n", + " tmp_angle = copy.deepcopy(metas_map[i]['can_bus'][-1])\n", + " metas_map[i]['can_bus'][:3] -= prev_pos\n", + " metas_map[i]['can_bus'][-1] -= prev_angle\n", + " prev_pos = copy.deepcopy(tmp_pos)\n", + " prev_angle = copy.deepcopy(tmp_angle)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.13" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/docs/getting_started.md b/docs/getting_started.md new file mode 100644 index 0000000..13ff695 --- /dev/null +++ b/docs/getting_started.md @@ -0,0 +1,31 @@ +# Prerequisites + +**Please ensure you have prepared the environment and the nuScenes dataset.** + +# Train and Test + +Train BEVFormer with 8 GPUs +``` +./tools/dist_train.sh ./projects/configs/bevformer/bevformer_base.py 8 +``` + +Eval BEVFormer with 8 GPUs +``` +./tools/dist_test.sh ./projects/configs/bevformer/bevformer_base.py ./path/to/ckpts.pth 8 +``` +Note: using 1 GPU to eval can obtain slightly higher performance because continuous video may be truncated with multiple GPUs. By default we report the score evaled with 8 GPUs. + + + +# Using FP16 to train the model. +The above training script can not support FP16 training, +and we provide another script to train BEVFormer with FP16. + +``` +./tools/fp16/dist_train.sh ./projects/configs/bevformer_fp16/bevformer_tiny_fp16.py 8 +``` + + +# Visualization + +see [visual.py](../tools/analysis_tools/visual.py) \ No newline at end of file diff --git a/docs/install.md b/docs/install.md new file mode 100644 index 0000000..35064f2 --- /dev/null +++ b/docs/install.md @@ -0,0 +1,64 @@ +# Step-by-step installation instructions + +Following https://mmdetection3d.readthedocs.io/en/latest/getting_started.html#installation + + + +**a. Create a conda virtual environment and activate it.** +```shell +conda create -n open-mmlab python=3.8 -y +conda activate open-mmlab +``` + +**b. Install PyTorch and torchvision following the [official instructions](https://pytorch.org/).** +```shell +pip install torch==1.9.1+cu111 torchvision==0.10.1+cu111 torchaudio==0.9.1 -f https://download.pytorch.org/whl/torch_stable.html +# Recommended torch>=1.9 + +``` + +**c. Install gcc>=5 in conda env (optional).** +```shell +conda install -c omgarcia gcc-6 # gcc-6.2 +``` + +**c. Install mmcv-full.** +```shell +pip install mmcv-full==1.4.0 +# pip install mmcv-full==1.4.0 -f https://download.openmmlab.com/mmcv/dist/cu111/torch1.9.0/index.html +``` + +**d. Install mmdet and mmseg.** +```shell +pip install mmdet==2.14.0 +pip install mmsegmentation==0.14.1 +``` + +**e. Install mmdet3d from source code.** +```shell +git clone https://github.com/open-mmlab/mmdetection3d.git +cd mmdetection3d +git checkout v0.17.1 # Other versions may not be compatible. +python setup.py install +``` + +**f. Install timm.** +```shell +pip install timm +``` + + +**g. Clone BEVFormer.** +``` +git clone https://github.com/fundamentalvision/BEVFormer.git +``` + +**h. Prepare pretrained models.** +```shell +cd bevformer +mkdir ckpts + +cd ckpts & wget https://github.com/zhiqi-li/storage/releases/download/v1.0/r101_dcn_fcos3d_pretrain.pth +``` + +note: this pretrained model is the same model used in [detr3d](https://github.com/WangYueFt/detr3d) diff --git a/docs/prepare_dataset.md b/docs/prepare_dataset.md new file mode 100644 index 0000000..fc73fd8 --- /dev/null +++ b/docs/prepare_dataset.md @@ -0,0 +1,41 @@ + + +## NuScenes +Download nuScenes V1.0 full dataset data and CAN bus expansion data [HERE](https://www.nuscenes.org/download). Prepare nuscenes data by running + + +**Download CAN bus expansion** +``` +# download 'can_bus.zip' +unzip can_bus.zip +# move can_bus to data dir +``` + +**Prepare nuScenes data** + +*We genetate custom annotation files which are different from mmdet3d's* +``` +python tools/create_data.py nuscenes --root-path ./data/nuscenes --out-dir ./data/nuscenes --extra-tag nuscenes --version v1.0 --canbus ./data +``` + +Using the above code will generate `nuscenes_infos_temporal_{train,val}.pkl`. + +**Folder structure** +``` +bevformer +├── projects/ +├── tools/ +├── configs/ +├── ckpts/ +│ ├── r101_dcn_fcos3d_pretrain.pth +├── data/ +│ ├── can_bus/ +│ ├── nuscenes/ +│ │ ├── maps/ +│ │ ├── samples/ +│ │ ├── sweeps/ +│ │ ├── v1.0-test/ +| | ├── v1.0-trainval/ +| | ├── nuscenes_infos_temporal_train.pkl +| | ├── nuscenes_infos_temporal_val.pkl +``` diff --git a/figs/000868a72138448191b4092f75ed7776.jpg b/figs/000868a72138448191b4092f75ed7776.jpg new file mode 100644 index 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-0,0 +1,48 @@ +dataset_type = 'CocoDataset' +data_root = 'data/coco/' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', with_bbox=True, with_mask=True), + dict(type='Resize', img_scale=(1333, 800), keep_ratio=True), + dict(type='RandomFlip', flip_ratio=0.5), + dict(type='Normalize', **img_norm_cfg), + dict(type='Pad', size_divisor=32), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels', 'gt_masks']), +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(1333, 800), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict(type='Normalize', **img_norm_cfg), + dict(type='Pad', size_divisor=32), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']), + ]) +] +data = dict( + samples_per_gpu=2, + workers_per_gpu=2, + train=dict( + type=dataset_type, + ann_file=data_root + 'annotations/instances_train2017.json', + img_prefix=data_root + 'train2017/', + pipeline=train_pipeline), + val=dict( + type=dataset_type, + ann_file=data_root + 'annotations/instances_val2017.json', + img_prefix=data_root + 'val2017/', + pipeline=test_pipeline), + test=dict( + type=dataset_type, + ann_file=data_root + 'annotations/instances_val2017.json', + img_prefix=data_root + 'val2017/', + pipeline=test_pipeline)) +evaluation = dict(metric=['bbox', 'segm']) diff --git a/projects/configs/_base_/datasets/kitti-3d-3class.py b/projects/configs/_base_/datasets/kitti-3d-3class.py new file mode 100644 index 0000000..1822af4 --- /dev/null +++ b/projects/configs/_base_/datasets/kitti-3d-3class.py @@ -0,0 +1,140 @@ +# dataset settings +dataset_type = 'KittiDataset' +data_root = 'data/kitti/' +class_names = ['Pedestrian', 'Cyclist', 'Car'] +point_cloud_range = [0, -40, -3, 70.4, 40, 1] +input_modality = dict(use_lidar=True, use_camera=False) +db_sampler = dict( + data_root=data_root, + info_path=data_root + 'kitti_dbinfos_train.pkl', + rate=1.0, + prepare=dict( + filter_by_difficulty=[-1], + filter_by_min_points=dict(Car=5, Pedestrian=10, Cyclist=10)), + classes=class_names, + sample_groups=dict(Car=12, Pedestrian=6, Cyclist=6)) + +file_client_args = dict(backend='disk') +# Uncomment the following if use ceph or other file clients. +# See https://mmcv.readthedocs.io/en/latest/api.html#mmcv.fileio.FileClient +# for more details. +# file_client_args = dict( +# backend='petrel', path_mapping=dict(data='s3://kitti_data/')) + +train_pipeline = [ + dict( + type='LoadPointsFromFile', + coord_type='LIDAR', + load_dim=4, + use_dim=4, + file_client_args=file_client_args), + dict( + type='LoadAnnotations3D', + with_bbox_3d=True, + with_label_3d=True, + file_client_args=file_client_args), + dict(type='ObjectSample', db_sampler=db_sampler), + dict( + type='ObjectNoise', + num_try=100, + translation_std=[1.0, 1.0, 0.5], + global_rot_range=[0.0, 0.0], + rot_range=[-0.78539816, 0.78539816]), + dict(type='RandomFlip3D', flip_ratio_bev_horizontal=0.5), + dict( + type='GlobalRotScaleTrans', + rot_range=[-0.78539816, 0.78539816], + scale_ratio_range=[0.95, 1.05]), + dict(type='PointsRangeFilter', point_cloud_range=point_cloud_range), + dict(type='ObjectRangeFilter', point_cloud_range=point_cloud_range), + dict(type='PointShuffle'), + dict(type='DefaultFormatBundle3D', class_names=class_names), + dict(type='Collect3D', keys=['points', 'gt_bboxes_3d', 'gt_labels_3d']) +] +test_pipeline = [ + dict( + type='LoadPointsFromFile', + coord_type='LIDAR', + load_dim=4, + use_dim=4, + file_client_args=file_client_args), + dict( + type='MultiScaleFlipAug3D', + img_scale=(1333, 800), + pts_scale_ratio=1, + flip=False, + transforms=[ + dict( + type='GlobalRotScaleTrans', + rot_range=[0, 0], + scale_ratio_range=[1., 1.], + translation_std=[0, 0, 0]), + dict(type='RandomFlip3D'), + dict( + type='PointsRangeFilter', point_cloud_range=point_cloud_range), + dict( + type='DefaultFormatBundle3D', + class_names=class_names, + with_label=False), + dict(type='Collect3D', keys=['points']) + ]) +] +# construct a pipeline for data and gt loading in show function +# please keep its loading function consistent with test_pipeline (e.g. client) +eval_pipeline = [ + dict( + type='LoadPointsFromFile', + coord_type='LIDAR', + load_dim=4, + use_dim=4, + file_client_args=file_client_args), + dict( + type='DefaultFormatBundle3D', + class_names=class_names, + with_label=False), + dict(type='Collect3D', keys=['points']) +] + +data = dict( + samples_per_gpu=6, + workers_per_gpu=4, + train=dict( + type='RepeatDataset', + times=2, + dataset=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'kitti_infos_train.pkl', + split='training', + pts_prefix='velodyne_reduced', + pipeline=train_pipeline, + modality=input_modality, + classes=class_names, + test_mode=False, + # we use box_type_3d='LiDAR' in kitti and nuscenes dataset + # and box_type_3d='Depth' in sunrgbd and scannet dataset. + box_type_3d='LiDAR')), + val=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'kitti_infos_val.pkl', + split='training', + pts_prefix='velodyne_reduced', + pipeline=test_pipeline, + modality=input_modality, + classes=class_names, + test_mode=True, + box_type_3d='LiDAR'), + test=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'kitti_infos_val.pkl', + split='training', + pts_prefix='velodyne_reduced', + pipeline=test_pipeline, + modality=input_modality, + classes=class_names, + test_mode=True, + box_type_3d='LiDAR')) + +evaluation = dict(interval=1, pipeline=eval_pipeline) diff --git a/projects/configs/_base_/datasets/kitti-3d-car.py b/projects/configs/_base_/datasets/kitti-3d-car.py new file mode 100644 index 0000000..1e81226 --- /dev/null +++ b/projects/configs/_base_/datasets/kitti-3d-car.py @@ -0,0 +1,138 @@ +# dataset settings +dataset_type = 'KittiDataset' +data_root = 'data/kitti/' +class_names = ['Car'] +point_cloud_range = [0, -40, -3, 70.4, 40, 1] +input_modality = dict(use_lidar=True, use_camera=False) +db_sampler = dict( + data_root=data_root, + info_path=data_root + 'kitti_dbinfos_train.pkl', + rate=1.0, + prepare=dict(filter_by_difficulty=[-1], filter_by_min_points=dict(Car=5)), + classes=class_names, + sample_groups=dict(Car=15)) + +file_client_args = dict(backend='disk') +# Uncomment the following if use ceph or other file clients. +# See https://mmcv.readthedocs.io/en/latest/api.html#mmcv.fileio.FileClient +# for more details. +# file_client_args = dict( +# backend='petrel', path_mapping=dict(data='s3://kitti_data/')) + +train_pipeline = [ + dict( + type='LoadPointsFromFile', + coord_type='LIDAR', + load_dim=4, + use_dim=4, + file_client_args=file_client_args), + dict( + type='LoadAnnotations3D', + with_bbox_3d=True, + with_label_3d=True, + file_client_args=file_client_args), + dict(type='ObjectSample', db_sampler=db_sampler), + dict( + type='ObjectNoise', + num_try=100, + translation_std=[1.0, 1.0, 0.5], + global_rot_range=[0.0, 0.0], + rot_range=[-0.78539816, 0.78539816]), + dict(type='RandomFlip3D', flip_ratio_bev_horizontal=0.5), + dict( + type='GlobalRotScaleTrans', + rot_range=[-0.78539816, 0.78539816], + scale_ratio_range=[0.95, 1.05]), + dict(type='PointsRangeFilter', point_cloud_range=point_cloud_range), + dict(type='ObjectRangeFilter', point_cloud_range=point_cloud_range), + dict(type='PointShuffle'), + dict(type='DefaultFormatBundle3D', class_names=class_names), + dict(type='Collect3D', keys=['points', 'gt_bboxes_3d', 'gt_labels_3d']) +] +test_pipeline = [ + dict( + type='LoadPointsFromFile', + coord_type='LIDAR', + load_dim=4, + use_dim=4, + file_client_args=file_client_args), + dict( + type='MultiScaleFlipAug3D', + img_scale=(1333, 800), + pts_scale_ratio=1, + flip=False, + transforms=[ + dict( + type='GlobalRotScaleTrans', + rot_range=[0, 0], + scale_ratio_range=[1., 1.], + translation_std=[0, 0, 0]), + dict(type='RandomFlip3D'), + dict( + type='PointsRangeFilter', point_cloud_range=point_cloud_range), + dict( + type='DefaultFormatBundle3D', + class_names=class_names, + with_label=False), + dict(type='Collect3D', keys=['points']) + ]) +] +# construct a pipeline for data and gt loading in show function +# please keep its loading function consistent with test_pipeline (e.g. client) +eval_pipeline = [ + dict( + type='LoadPointsFromFile', + coord_type='LIDAR', + load_dim=4, + use_dim=4, + file_client_args=file_client_args), + dict( + type='DefaultFormatBundle3D', + class_names=class_names, + with_label=False), + dict(type='Collect3D', keys=['points']) +] + +data = dict( + samples_per_gpu=6, + workers_per_gpu=4, + train=dict( + type='RepeatDataset', + times=2, + dataset=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'kitti_infos_train.pkl', + split='training', + pts_prefix='velodyne_reduced', + pipeline=train_pipeline, + modality=input_modality, + classes=class_names, + test_mode=False, + # we use box_type_3d='LiDAR' in kitti and nuscenes dataset + # and box_type_3d='Depth' in sunrgbd and scannet dataset. + box_type_3d='LiDAR')), + val=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'kitti_infos_val.pkl', + split='training', + pts_prefix='velodyne_reduced', + pipeline=test_pipeline, + modality=input_modality, + classes=class_names, + test_mode=True, + box_type_3d='LiDAR'), + test=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'kitti_infos_val.pkl', + split='training', + pts_prefix='velodyne_reduced', + pipeline=test_pipeline, + modality=input_modality, + classes=class_names, + test_mode=True, + box_type_3d='LiDAR')) + +evaluation = dict(interval=1, pipeline=eval_pipeline) diff --git a/projects/configs/_base_/datasets/lyft-3d.py b/projects/configs/_base_/datasets/lyft-3d.py new file mode 100644 index 0000000..71baff0 --- /dev/null +++ b/projects/configs/_base_/datasets/lyft-3d.py @@ -0,0 +1,136 @@ +# If point cloud range is changed, the models should also change their point +# cloud range accordingly +point_cloud_range = [-80, -80, -5, 80, 80, 3] +# For Lyft we usually do 9-class detection +class_names = [ + 'car', 'truck', 'bus', 'emergency_vehicle', 'other_vehicle', 'motorcycle', + 'bicycle', 'pedestrian', 'animal' +] +dataset_type = 'LyftDataset' +data_root = 'data/lyft/' +# Input modality for Lyft dataset, this is consistent with the submission +# format which requires the information in input_modality. +input_modality = dict( + use_lidar=True, + use_camera=False, + use_radar=False, + use_map=False, + use_external=False) +file_client_args = dict(backend='disk') +# Uncomment the following if use ceph or other file clients. +# See https://mmcv.readthedocs.io/en/latest/api.html#mmcv.fileio.FileClient +# for more details. +# file_client_args = dict( +# backend='petrel', +# path_mapping=dict({ +# './data/lyft/': 's3://lyft/lyft/', +# 'data/lyft/': 's3://lyft/lyft/' +# })) +train_pipeline = [ + dict( + type='LoadPointsFromFile', + coord_type='LIDAR', + load_dim=5, + use_dim=5, + file_client_args=file_client_args), + dict( + type='LoadPointsFromMultiSweeps', + sweeps_num=10, + file_client_args=file_client_args), + dict(type='LoadAnnotations3D', with_bbox_3d=True, with_label_3d=True), + dict( + type='GlobalRotScaleTrans', + rot_range=[-0.3925, 0.3925], + scale_ratio_range=[0.95, 1.05], + translation_std=[0, 0, 0]), + dict(type='RandomFlip3D', flip_ratio_bev_horizontal=0.5), + dict(type='PointsRangeFilter', point_cloud_range=point_cloud_range), + dict(type='ObjectRangeFilter', point_cloud_range=point_cloud_range), + dict(type='PointShuffle'), + dict(type='DefaultFormatBundle3D', class_names=class_names), + dict(type='Collect3D', keys=['points', 'gt_bboxes_3d', 'gt_labels_3d']) +] +test_pipeline = [ + dict( + type='LoadPointsFromFile', + coord_type='LIDAR', + load_dim=5, + use_dim=5, + file_client_args=file_client_args), + dict( + type='LoadPointsFromMultiSweeps', + sweeps_num=10, + file_client_args=file_client_args), + dict( + type='MultiScaleFlipAug3D', + img_scale=(1333, 800), + pts_scale_ratio=1, + flip=False, + transforms=[ + dict( + type='GlobalRotScaleTrans', + rot_range=[0, 0], + scale_ratio_range=[1., 1.], + translation_std=[0, 0, 0]), + dict(type='RandomFlip3D'), + dict( + type='PointsRangeFilter', point_cloud_range=point_cloud_range), + dict( + type='DefaultFormatBundle3D', + class_names=class_names, + with_label=False), + dict(type='Collect3D', keys=['points']) + ]) +] +# construct a pipeline for data and gt loading in show function +# please keep its loading function consistent with test_pipeline (e.g. client) +eval_pipeline = [ + dict( + type='LoadPointsFromFile', + coord_type='LIDAR', + load_dim=5, + use_dim=5, + file_client_args=file_client_args), + dict( + type='LoadPointsFromMultiSweeps', + sweeps_num=10, + file_client_args=file_client_args), + dict( + type='DefaultFormatBundle3D', + class_names=class_names, + with_label=False), + dict(type='Collect3D', keys=['points']) +] + +data = dict( + samples_per_gpu=2, + workers_per_gpu=2, + train=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'lyft_infos_train.pkl', + pipeline=train_pipeline, + classes=class_names, + modality=input_modality, + test_mode=False), + val=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'lyft_infos_val.pkl', + pipeline=test_pipeline, + classes=class_names, + modality=input_modality, + test_mode=True), + test=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'lyft_infos_test.pkl', + pipeline=test_pipeline, + classes=class_names, + modality=input_modality, + test_mode=True)) +# For Lyft dataset, we usually evaluate the model at the end of training. +# Since the models are trained by 24 epochs by default, we set evaluation +# interval to be 24. Please change the interval accordingly if you do not +# use a default schedule. +evaluation = dict(interval=24, pipeline=eval_pipeline) diff --git a/projects/configs/_base_/datasets/nuim_instance.py b/projects/configs/_base_/datasets/nuim_instance.py new file mode 100644 index 0000000..82fce56 --- /dev/null +++ b/projects/configs/_base_/datasets/nuim_instance.py @@ -0,0 +1,59 @@ +dataset_type = 'CocoDataset' +data_root = 'data/nuimages/' +class_names = [ + 'car', 'truck', 'trailer', 'bus', 'construction_vehicle', 'bicycle', + 'motorcycle', 'pedestrian', 'traffic_cone', 'barrier' +] +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', with_bbox=True, with_mask=True), + dict( + type='Resize', + img_scale=[(1280, 720), (1920, 1080)], + multiscale_mode='range', + keep_ratio=True), + dict(type='RandomFlip', flip_ratio=0.5), + dict(type='Normalize', **img_norm_cfg), + dict(type='Pad', size_divisor=32), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels', 'gt_masks']), +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(1600, 900), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict(type='Normalize', **img_norm_cfg), + dict(type='Pad', size_divisor=32), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']), + ]) +] +data = dict( + samples_per_gpu=2, + workers_per_gpu=2, + train=dict( + type=dataset_type, + ann_file=data_root + 'annotations/nuimages_v1.0-train.json', + img_prefix=data_root, + classes=class_names, + pipeline=train_pipeline), + val=dict( + type=dataset_type, + ann_file=data_root + 'annotations/nuimages_v1.0-val.json', + img_prefix=data_root, + classes=class_names, + pipeline=test_pipeline), + test=dict( + type=dataset_type, + ann_file=data_root + 'annotations/nuimages_v1.0-val.json', + img_prefix=data_root, + classes=class_names, + pipeline=test_pipeline)) +evaluation = dict(metric=['bbox', 'segm']) diff --git a/projects/configs/_base_/datasets/nus-3d.py b/projects/configs/_base_/datasets/nus-3d.py new file mode 100644 index 0000000..1548171 --- /dev/null +++ b/projects/configs/_base_/datasets/nus-3d.py @@ -0,0 +1,142 @@ +# If point cloud range is changed, the models should also change their point +# cloud range accordingly +point_cloud_range = [-50, -50, -5, 50, 50, 3] +# For nuScenes we usually do 10-class detection +class_names = [ + 'car', 'truck', 'trailer', 'bus', 'construction_vehicle', 'bicycle', + 'motorcycle', 'pedestrian', 'traffic_cone', 'barrier' +] +dataset_type = 'NuScenesDataset' +data_root = 'data/nuscenes/' +# Input modality for nuScenes dataset, this is consistent with the submission +# format which requires the information in input_modality. +input_modality = dict( + use_lidar=True, + use_camera=False, + use_radar=False, + use_map=False, + use_external=False) +file_client_args = dict(backend='disk') +# Uncomment the following if use ceph or other file clients. +# See https://mmcv.readthedocs.io/en/latest/api.html#mmcv.fileio.FileClient +# for more details. +# file_client_args = dict( +# backend='petrel', +# path_mapping=dict({ +# './data/nuscenes/': 's3://nuscenes/nuscenes/', +# 'data/nuscenes/': 's3://nuscenes/nuscenes/' +# })) +train_pipeline = [ + dict( + type='LoadPointsFromFile', + coord_type='LIDAR', + load_dim=5, + use_dim=5, + file_client_args=file_client_args), + dict( + type='LoadPointsFromMultiSweeps', + sweeps_num=10, + file_client_args=file_client_args), + dict(type='LoadAnnotations3D', with_bbox_3d=True, with_label_3d=True), + dict( + type='GlobalRotScaleTrans', + rot_range=[-0.3925, 0.3925], + scale_ratio_range=[0.95, 1.05], + translation_std=[0, 0, 0]), + dict(type='RandomFlip3D', flip_ratio_bev_horizontal=0.5), + dict(type='PointsRangeFilter', point_cloud_range=point_cloud_range), + dict(type='ObjectRangeFilter', point_cloud_range=point_cloud_range), + dict(type='ObjectNameFilter', classes=class_names), + dict(type='PointShuffle'), + dict(type='DefaultFormatBundle3D', class_names=class_names), + dict(type='Collect3D', keys=['points', 'gt_bboxes_3d', 'gt_labels_3d']) +] +test_pipeline = [ + dict( + type='LoadPointsFromFile', + coord_type='LIDAR', + load_dim=5, + use_dim=5, + file_client_args=file_client_args), + dict( + type='LoadPointsFromMultiSweeps', + sweeps_num=10, + file_client_args=file_client_args), + dict( + type='MultiScaleFlipAug3D', + img_scale=(1333, 800), + pts_scale_ratio=1, + flip=False, + transforms=[ + dict( + type='GlobalRotScaleTrans', + rot_range=[0, 0], + scale_ratio_range=[1., 1.], + translation_std=[0, 0, 0]), + dict(type='RandomFlip3D'), + dict( + type='PointsRangeFilter', point_cloud_range=point_cloud_range), + dict( + type='DefaultFormatBundle3D', + class_names=class_names, + with_label=False), + dict(type='Collect3D', keys=['points']) + ]) +] +# construct a pipeline for data and gt loading in show function +# please keep its loading function consistent with test_pipeline (e.g. client) +eval_pipeline = [ + dict( + type='LoadPointsFromFile', + coord_type='LIDAR', + load_dim=5, + use_dim=5, + file_client_args=file_client_args), + dict( + type='LoadPointsFromMultiSweeps', + sweeps_num=10, + file_client_args=file_client_args), + dict( + type='DefaultFormatBundle3D', + class_names=class_names, + with_label=False), + dict(type='Collect3D', keys=['points']) +] + +data = dict( + samples_per_gpu=4, + workers_per_gpu=4, + train=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'nuscenes_infos_train.pkl', + pipeline=train_pipeline, + classes=class_names, + modality=input_modality, + test_mode=False, + # we use box_type_3d='LiDAR' in kitti and nuscenes dataset + # and box_type_3d='Depth' in sunrgbd and scannet dataset. + box_type_3d='LiDAR'), + val=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'nuscenes_infos_val.pkl', + pipeline=test_pipeline, + classes=class_names, + modality=input_modality, + test_mode=True, + box_type_3d='LiDAR'), + test=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'nuscenes_infos_val.pkl', + pipeline=test_pipeline, + classes=class_names, + modality=input_modality, + test_mode=True, + box_type_3d='LiDAR')) +# For nuScenes dataset, we usually evaluate the model at the end of training. +# Since the models are trained by 24 epochs by default, we set evaluation +# interval to be 24. Please change the interval accordingly if you do not +# use a default schedule. +evaluation = dict(interval=24, pipeline=eval_pipeline) diff --git a/projects/configs/_base_/datasets/nus-mono3d.py b/projects/configs/_base_/datasets/nus-mono3d.py new file mode 100644 index 0000000..1363a94 --- /dev/null +++ b/projects/configs/_base_/datasets/nus-mono3d.py @@ -0,0 +1,100 @@ +dataset_type = 'CustomNuScenesMonoDataset' +data_root = 'data/nuscenes/' +class_names = [ + 'car', 'truck', 'trailer', 'bus', 'construction_vehicle', 'bicycle', + 'motorcycle', 'pedestrian', 'traffic_cone', 'barrier' +] +# Input modality for nuScenes dataset, this is consistent with the submission +# format which requires the information in input_modality. +input_modality = dict( + use_lidar=False, + use_camera=True, + use_radar=False, + use_map=False, + use_external=False) +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +train_pipeline = [ + dict(type='LoadImageFromFileMono3D'), + dict( + type='LoadAnnotations3D', + with_bbox=True, + with_label=True, + with_attr_label=True, + with_bbox_3d=True, + with_label_3d=True, + with_bbox_depth=True), + dict(type='Resize', img_scale=(1600, 900), keep_ratio=True), + dict(type='RandomFlip3D', flip_ratio_bev_horizontal=0.5), + dict(type='Normalize', **img_norm_cfg), + dict(type='Pad', size_divisor=32), + dict(type='DefaultFormatBundle3D', class_names=class_names), + dict( + type='Collect3D', + keys=[ + 'img', 'gt_bboxes', 'gt_labels', 'attr_labels', 'gt_bboxes_3d', + 'gt_labels_3d', 'centers2d', 'depths' + ]), +] +test_pipeline = [ + dict(type='LoadImageFromFileMono3D'), + dict( + type='MultiScaleFlipAug', + scale_factor=1.0, + flip=False, + transforms=[ + dict(type='RandomFlip3D'), + dict(type='Normalize', **img_norm_cfg), + dict(type='Pad', size_divisor=32), + dict( + type='DefaultFormatBundle3D', + class_names=class_names, + with_label=False), + dict(type='Collect3D', keys=['img']), + ]) +] +# construct a pipeline for data and gt loading in show function +# please keep its loading function consistent with test_pipeline (e.g. client) +eval_pipeline = [ + dict(type='LoadImageFromFileMono3D'), + dict( + type='DefaultFormatBundle3D', + class_names=class_names, + with_label=False), + dict(type='Collect3D', keys=['img']) +] + +data = dict( + samples_per_gpu=2, + workers_per_gpu=2, + train=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'nuscenes_infos_train_mono3d.coco.json', + img_prefix=data_root, + classes=class_names, + pipeline=train_pipeline, + modality=input_modality, + test_mode=False, + box_type_3d='Camera'), + val=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'nuscenes_infos_val_mono3d.coco.json', + img_prefix=data_root, + classes=class_names, + pipeline=test_pipeline, + modality=input_modality, + test_mode=True, + box_type_3d='Camera'), + test=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'nuscenes_infos_val_mono3d.coco.json', + img_prefix=data_root, + classes=class_names, + pipeline=test_pipeline, + modality=input_modality, + test_mode=True, + box_type_3d='Camera')) +evaluation = dict(interval=2) diff --git a/projects/configs/_base_/datasets/range100_lyft-3d.py b/projects/configs/_base_/datasets/range100_lyft-3d.py new file mode 100644 index 0000000..efa63ea --- /dev/null +++ b/projects/configs/_base_/datasets/range100_lyft-3d.py @@ -0,0 +1,136 @@ +# If point cloud range is changed, the models should also change their point +# cloud range accordingly +point_cloud_range = [-100, -100, -5, 100, 100, 3] +# For Lyft we usually do 9-class detection +class_names = [ + 'car', 'truck', 'bus', 'emergency_vehicle', 'other_vehicle', 'motorcycle', + 'bicycle', 'pedestrian', 'animal' +] +dataset_type = 'LyftDataset' +data_root = 'data/lyft/' +# Input modality for Lyft dataset, this is consistent with the submission +# format which requires the information in input_modality. +input_modality = dict( + use_lidar=True, + use_camera=False, + use_radar=False, + use_map=False, + use_external=False) +file_client_args = dict(backend='disk') +# Uncomment the following if use ceph or other file clients. +# See https://mmcv.readthedocs.io/en/latest/api.html#mmcv.fileio.FileClient +# for more details. +# file_client_args = dict( +# backend='petrel', +# path_mapping=dict({ +# './data/lyft/': 's3://lyft/lyft/', +# 'data/lyft/': 's3://lyft/lyft/' +# })) +train_pipeline = [ + dict( + type='LoadPointsFromFile', + coord_type='LIDAR', + load_dim=5, + use_dim=5, + file_client_args=file_client_args), + dict( + type='LoadPointsFromMultiSweeps', + sweeps_num=10, + file_client_args=file_client_args), + dict(type='LoadAnnotations3D', with_bbox_3d=True, with_label_3d=True), + dict( + type='GlobalRotScaleTrans', + rot_range=[-0.3925, 0.3925], + scale_ratio_range=[0.95, 1.05], + translation_std=[0, 0, 0]), + dict(type='RandomFlip3D', flip_ratio_bev_horizontal=0.5), + dict(type='PointsRangeFilter', point_cloud_range=point_cloud_range), + dict(type='ObjectRangeFilter', point_cloud_range=point_cloud_range), + dict(type='PointShuffle'), + dict(type='DefaultFormatBundle3D', class_names=class_names), + dict(type='Collect3D', keys=['points', 'gt_bboxes_3d', 'gt_labels_3d']) +] +test_pipeline = [ + dict( + type='LoadPointsFromFile', + coord_type='LIDAR', + load_dim=5, + use_dim=5, + file_client_args=file_client_args), + dict( + type='LoadPointsFromMultiSweeps', + sweeps_num=10, + file_client_args=file_client_args), + dict( + type='MultiScaleFlipAug3D', + img_scale=(1333, 800), + pts_scale_ratio=1, + flip=False, + transforms=[ + dict( + type='GlobalRotScaleTrans', + rot_range=[0, 0], + scale_ratio_range=[1., 1.], + translation_std=[0, 0, 0]), + dict(type='RandomFlip3D'), + dict( + type='PointsRangeFilter', point_cloud_range=point_cloud_range), + dict( + type='DefaultFormatBundle3D', + class_names=class_names, + with_label=False), + dict(type='Collect3D', keys=['points']) + ]) +] +# construct a pipeline for data and gt loading in show function +# please keep its loading function consistent with test_pipeline (e.g. client) +eval_pipeline = [ + dict( + type='LoadPointsFromFile', + coord_type='LIDAR', + load_dim=5, + use_dim=5, + file_client_args=file_client_args), + dict( + type='LoadPointsFromMultiSweeps', + sweeps_num=10, + file_client_args=file_client_args), + dict( + type='DefaultFormatBundle3D', + class_names=class_names, + with_label=False), + dict(type='Collect3D', keys=['points']) +] + +data = dict( + samples_per_gpu=2, + workers_per_gpu=2, + train=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'lyft_infos_train.pkl', + pipeline=train_pipeline, + classes=class_names, + modality=input_modality, + test_mode=False), + val=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'lyft_infos_val.pkl', + pipeline=test_pipeline, + classes=class_names, + modality=input_modality, + test_mode=True), + test=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'lyft_infos_test.pkl', + pipeline=test_pipeline, + classes=class_names, + modality=input_modality, + test_mode=True)) +# For Lyft dataset, we usually evaluate the model at the end of training. +# Since the models are trained by 24 epochs by default, we set evaluation +# interval to be 24. Please change the interval accordingly if you do not +# use a default schedule. +evaluation = dict(interval=24, pipeline=eval_pipeline) diff --git a/projects/configs/_base_/datasets/s3dis-3d-5class.py b/projects/configs/_base_/datasets/s3dis-3d-5class.py new file mode 100644 index 0000000..2422766 --- /dev/null +++ b/projects/configs/_base_/datasets/s3dis-3d-5class.py @@ -0,0 +1,114 @@ +# dataset settings +dataset_type = 'S3DISDataset' +data_root = './data/s3dis/' +class_names = ('table', 'chair', 'sofa', 'bookcase', 'board') +train_area = [1, 2, 3, 4, 6] +test_area = 5 + +train_pipeline = [ + dict( + type='LoadPointsFromFile', + coord_type='DEPTH', + shift_height=True, + load_dim=6, + use_dim=[0, 1, 2, 3, 4, 5]), + dict(type='LoadAnnotations3D', with_bbox_3d=True, with_label_3d=True), + dict(type='PointSample', num_points=40000), + dict( + type='RandomFlip3D', + sync_2d=False, + flip_ratio_bev_horizontal=0.5, + flip_ratio_bev_vertical=0.5), + dict( + type='GlobalRotScaleTrans', + # following ScanNet dataset the rotation range is 5 degrees + rot_range=[-0.087266, 0.087266], + scale_ratio_range=[1.0, 1.0], + shift_height=True), + dict(type='DefaultFormatBundle3D', class_names=class_names), + dict(type='Collect3D', keys=['points', 'gt_bboxes_3d', 'gt_labels_3d']) +] +test_pipeline = [ + dict( + type='LoadPointsFromFile', + coord_type='DEPTH', + shift_height=True, + load_dim=6, + use_dim=[0, 1, 2, 3, 4, 5]), + dict( + type='MultiScaleFlipAug3D', + img_scale=(1333, 800), + pts_scale_ratio=1, + flip=False, + transforms=[ + dict( + type='GlobalRotScaleTrans', + rot_range=[0, 0], + scale_ratio_range=[1., 1.], + translation_std=[0, 0, 0]), + dict( + type='RandomFlip3D', + sync_2d=False, + flip_ratio_bev_horizontal=0.5, + flip_ratio_bev_vertical=0.5), + dict(type='PointSample', num_points=40000), + dict( + type='DefaultFormatBundle3D', + class_names=class_names, + with_label=False), + dict(type='Collect3D', keys=['points']) + ]) +] +# construct a pipeline for data and gt loading in show function +# please keep its loading function consistent with test_pipeline (e.g. client) +eval_pipeline = [ + dict( + type='LoadPointsFromFile', + coord_type='DEPTH', + shift_height=False, + load_dim=6, + use_dim=[0, 1, 2, 3, 4, 5]), + dict( + type='DefaultFormatBundle3D', + class_names=class_names, + with_label=False), + dict(type='Collect3D', keys=['points']) +] + +data = dict( + samples_per_gpu=8, + workers_per_gpu=4, + train=dict( + type='RepeatDataset', + times=5, + dataset=dict( + type='ConcatDataset', + datasets=[ + dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + f's3dis_infos_Area_{i}.pkl', + pipeline=train_pipeline, + filter_empty_gt=False, + classes=class_names, + box_type_3d='Depth') for i in train_area + ], + separate_eval=False)), + val=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + f's3dis_infos_Area_{test_area}.pkl', + pipeline=test_pipeline, + classes=class_names, + test_mode=True, + box_type_3d='Depth'), + test=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + f's3dis_infos_Area_{test_area}.pkl', + pipeline=test_pipeline, + classes=class_names, + test_mode=True, + box_type_3d='Depth')) + +evaluation = dict(pipeline=eval_pipeline) diff --git a/projects/configs/_base_/datasets/s3dis_seg-3d-13class.py b/projects/configs/_base_/datasets/s3dis_seg-3d-13class.py new file mode 100644 index 0000000..39bf556 --- /dev/null +++ b/projects/configs/_base_/datasets/s3dis_seg-3d-13class.py @@ -0,0 +1,139 @@ +# dataset settings +dataset_type = 'S3DISSegDataset' +data_root = './data/s3dis/' +class_names = ('ceiling', 'floor', 'wall', 'beam', 'column', 'window', 'door', + 'table', 'chair', 'sofa', 'bookcase', 'board', 'clutter') +num_points = 4096 +train_area = [1, 2, 3, 4, 6] +test_area = 5 +train_pipeline = [ + dict( + type='LoadPointsFromFile', + coord_type='DEPTH', + shift_height=False, + use_color=True, + load_dim=6, + use_dim=[0, 1, 2, 3, 4, 5]), + dict( + type='LoadAnnotations3D', + with_bbox_3d=False, + with_label_3d=False, + with_mask_3d=False, + with_seg_3d=True), + dict( + type='PointSegClassMapping', + valid_cat_ids=tuple(range(len(class_names))), + max_cat_id=13), + dict( + type='IndoorPatchPointSample', + num_points=num_points, + block_size=1.0, + ignore_index=len(class_names), + use_normalized_coord=True, + enlarge_size=0.2, + min_unique_num=None), + dict(type='NormalizePointsColor', color_mean=None), + dict(type='DefaultFormatBundle3D', class_names=class_names), + dict(type='Collect3D', keys=['points', 'pts_semantic_mask']) +] +test_pipeline = [ + dict( + type='LoadPointsFromFile', + coord_type='DEPTH', + shift_height=False, + use_color=True, + load_dim=6, + use_dim=[0, 1, 2, 3, 4, 5]), + dict(type='NormalizePointsColor', color_mean=None), + dict( + # a wrapper in order to successfully call test function + # actually we don't perform test-time-aug + type='MultiScaleFlipAug3D', + img_scale=(1333, 800), + pts_scale_ratio=1, + flip=False, + transforms=[ + dict( + type='GlobalRotScaleTrans', + rot_range=[0, 0], + scale_ratio_range=[1., 1.], + translation_std=[0, 0, 0]), + dict( + type='RandomFlip3D', + sync_2d=False, + flip_ratio_bev_horizontal=0.0, + flip_ratio_bev_vertical=0.0), + dict( + type='DefaultFormatBundle3D', + class_names=class_names, + with_label=False), + dict(type='Collect3D', keys=['points']) + ]) +] +# construct a pipeline for data and gt loading in show function +# please keep its loading function consistent with test_pipeline (e.g. client) +# we need to load gt seg_mask! +eval_pipeline = [ + dict( + type='LoadPointsFromFile', + coord_type='DEPTH', + shift_height=False, + use_color=True, + load_dim=6, + use_dim=[0, 1, 2, 3, 4, 5]), + dict( + type='LoadAnnotations3D', + with_bbox_3d=False, + with_label_3d=False, + with_mask_3d=False, + with_seg_3d=True), + dict( + type='PointSegClassMapping', + valid_cat_ids=tuple(range(len(class_names))), + max_cat_id=13), + dict( + type='DefaultFormatBundle3D', + with_label=False, + class_names=class_names), + dict(type='Collect3D', keys=['points', 'pts_semantic_mask']) +] + +data = dict( + samples_per_gpu=8, + workers_per_gpu=4, + # train on area 1, 2, 3, 4, 6 + # test on area 5 + train=dict( + type=dataset_type, + data_root=data_root, + ann_files=[ + data_root + f's3dis_infos_Area_{i}.pkl' for i in train_area + ], + pipeline=train_pipeline, + classes=class_names, + test_mode=False, + ignore_index=len(class_names), + scene_idxs=[ + data_root + f'seg_info/Area_{i}_resampled_scene_idxs.npy' + for i in train_area + ]), + val=dict( + type=dataset_type, + data_root=data_root, + ann_files=data_root + f's3dis_infos_Area_{test_area}.pkl', + pipeline=test_pipeline, + classes=class_names, + test_mode=True, + ignore_index=len(class_names), + scene_idxs=data_root + + f'seg_info/Area_{test_area}_resampled_scene_idxs.npy'), + test=dict( + type=dataset_type, + data_root=data_root, + ann_files=data_root + f's3dis_infos_Area_{test_area}.pkl', + pipeline=test_pipeline, + classes=class_names, + test_mode=True, + ignore_index=len(class_names))) + +evaluation = dict(pipeline=eval_pipeline) diff --git a/projects/configs/_base_/datasets/scannet-3d-18class.py b/projects/configs/_base_/datasets/scannet-3d-18class.py new file mode 100644 index 0000000..93da1e5 --- /dev/null +++ b/projects/configs/_base_/datasets/scannet-3d-18class.py @@ -0,0 +1,128 @@ +# dataset settings +dataset_type = 'ScanNetDataset' +data_root = './data/scannet/' +class_names = ('cabinet', 'bed', 'chair', 'sofa', 'table', 'door', 'window', + 'bookshelf', 'picture', 'counter', 'desk', 'curtain', + 'refrigerator', 'showercurtrain', 'toilet', 'sink', 'bathtub', + 'garbagebin') +train_pipeline = [ + dict( + type='LoadPointsFromFile', + coord_type='DEPTH', + shift_height=True, + load_dim=6, + use_dim=[0, 1, 2]), + dict( + type='LoadAnnotations3D', + with_bbox_3d=True, + with_label_3d=True, + with_mask_3d=True, + with_seg_3d=True), + dict(type='GlobalAlignment', rotation_axis=2), + dict( + type='PointSegClassMapping', + valid_cat_ids=(3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 16, 24, 28, 33, 34, + 36, 39), + max_cat_id=40), + dict(type='PointSample', num_points=40000), + dict( + type='RandomFlip3D', + sync_2d=False, + flip_ratio_bev_horizontal=0.5, + flip_ratio_bev_vertical=0.5), + dict( + type='GlobalRotScaleTrans', + rot_range=[-0.087266, 0.087266], + scale_ratio_range=[1.0, 1.0], + shift_height=True), + dict(type='DefaultFormatBundle3D', class_names=class_names), + dict( + type='Collect3D', + keys=[ + 'points', 'gt_bboxes_3d', 'gt_labels_3d', 'pts_semantic_mask', + 'pts_instance_mask' + ]) +] +test_pipeline = [ + dict( + type='LoadPointsFromFile', + coord_type='DEPTH', + shift_height=True, + load_dim=6, + use_dim=[0, 1, 2]), + dict(type='GlobalAlignment', rotation_axis=2), + dict( + type='MultiScaleFlipAug3D', + img_scale=(1333, 800), + pts_scale_ratio=1, + flip=False, + transforms=[ + dict( + type='GlobalRotScaleTrans', + rot_range=[0, 0], + scale_ratio_range=[1., 1.], + translation_std=[0, 0, 0]), + dict( + type='RandomFlip3D', + sync_2d=False, + flip_ratio_bev_horizontal=0.5, + flip_ratio_bev_vertical=0.5), + dict(type='PointSample', num_points=40000), + dict( + type='DefaultFormatBundle3D', + class_names=class_names, + with_label=False), + dict(type='Collect3D', keys=['points']) + ]) +] +# construct a pipeline for data and gt loading in show function +# please keep its loading function consistent with test_pipeline (e.g. client) +eval_pipeline = [ + dict( + type='LoadPointsFromFile', + coord_type='DEPTH', + shift_height=False, + load_dim=6, + use_dim=[0, 1, 2]), + dict(type='GlobalAlignment', rotation_axis=2), + dict( + type='DefaultFormatBundle3D', + class_names=class_names, + with_label=False), + dict(type='Collect3D', keys=['points']) +] + +data = dict( + samples_per_gpu=8, + workers_per_gpu=4, + train=dict( + type='RepeatDataset', + times=5, + dataset=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'scannet_infos_train.pkl', + pipeline=train_pipeline, + filter_empty_gt=False, + classes=class_names, + # we use box_type_3d='LiDAR' in kitti and nuscenes dataset + # and box_type_3d='Depth' in sunrgbd and scannet dataset. + box_type_3d='Depth')), + val=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'scannet_infos_val.pkl', + pipeline=test_pipeline, + classes=class_names, + test_mode=True, + box_type_3d='Depth'), + test=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'scannet_infos_val.pkl', + pipeline=test_pipeline, + classes=class_names, + test_mode=True, + box_type_3d='Depth')) + +evaluation = dict(pipeline=eval_pipeline) diff --git a/projects/configs/_base_/datasets/scannet_seg-3d-20class.py b/projects/configs/_base_/datasets/scannet_seg-3d-20class.py new file mode 100644 index 0000000..cf73b09 --- /dev/null +++ b/projects/configs/_base_/datasets/scannet_seg-3d-20class.py @@ -0,0 +1,132 @@ +# dataset settings +dataset_type = 'ScanNetSegDataset' +data_root = './data/scannet/' +class_names = ('wall', 'floor', 'cabinet', 'bed', 'chair', 'sofa', 'table', + 'door', 'window', 'bookshelf', 'picture', 'counter', 'desk', + 'curtain', 'refrigerator', 'showercurtrain', 'toilet', 'sink', + 'bathtub', 'otherfurniture') +num_points = 8192 +train_pipeline = [ + dict( + type='LoadPointsFromFile', + coord_type='DEPTH', + shift_height=False, + use_color=True, + load_dim=6, + use_dim=[0, 1, 2, 3, 4, 5]), + dict( + type='LoadAnnotations3D', + with_bbox_3d=False, + with_label_3d=False, + with_mask_3d=False, + with_seg_3d=True), + dict( + type='PointSegClassMapping', + valid_cat_ids=(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 16, 24, 28, + 33, 34, 36, 39), + max_cat_id=40), + dict( + type='IndoorPatchPointSample', + num_points=num_points, + block_size=1.5, + ignore_index=len(class_names), + use_normalized_coord=False, + enlarge_size=0.2, + min_unique_num=None), + dict(type='NormalizePointsColor', color_mean=None), + dict(type='DefaultFormatBundle3D', class_names=class_names), + dict(type='Collect3D', keys=['points', 'pts_semantic_mask']) +] +test_pipeline = [ + dict( + type='LoadPointsFromFile', + coord_type='DEPTH', + shift_height=False, + use_color=True, + load_dim=6, + use_dim=[0, 1, 2, 3, 4, 5]), + dict(type='NormalizePointsColor', color_mean=None), + dict( + # a wrapper in order to successfully call test function + # actually we don't perform test-time-aug + type='MultiScaleFlipAug3D', + img_scale=(1333, 800), + pts_scale_ratio=1, + flip=False, + transforms=[ + dict( + type='GlobalRotScaleTrans', + rot_range=[0, 0], + scale_ratio_range=[1., 1.], + translation_std=[0, 0, 0]), + dict( + type='RandomFlip3D', + sync_2d=False, + flip_ratio_bev_horizontal=0.0, + flip_ratio_bev_vertical=0.0), + dict( + type='DefaultFormatBundle3D', + class_names=class_names, + with_label=False), + dict(type='Collect3D', keys=['points']) + ]) +] +# construct a pipeline for data and gt loading in show function +# please keep its loading function consistent with test_pipeline (e.g. client) +# we need to load gt seg_mask! +eval_pipeline = [ + dict( + type='LoadPointsFromFile', + coord_type='DEPTH', + shift_height=False, + use_color=True, + load_dim=6, + use_dim=[0, 1, 2, 3, 4, 5]), + dict( + type='LoadAnnotations3D', + with_bbox_3d=False, + with_label_3d=False, + with_mask_3d=False, + with_seg_3d=True), + dict( + type='PointSegClassMapping', + valid_cat_ids=(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 16, 24, 28, + 33, 34, 36, 39), + max_cat_id=40), + dict( + type='DefaultFormatBundle3D', + with_label=False, + class_names=class_names), + dict(type='Collect3D', keys=['points', 'pts_semantic_mask']) +] + +data = dict( + samples_per_gpu=8, + workers_per_gpu=4, + train=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'scannet_infos_train.pkl', + pipeline=train_pipeline, + classes=class_names, + test_mode=False, + ignore_index=len(class_names), + scene_idxs=data_root + 'seg_info/train_resampled_scene_idxs.npy'), + val=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'scannet_infos_val.pkl', + pipeline=test_pipeline, + classes=class_names, + test_mode=True, + ignore_index=len(class_names)), + test=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'scannet_infos_val.pkl', + pipeline=test_pipeline, + classes=class_names, + test_mode=True, + ignore_index=len(class_names))) + +evaluation = dict(pipeline=eval_pipeline) diff --git a/projects/configs/_base_/datasets/sunrgbd-3d-10class.py b/projects/configs/_base_/datasets/sunrgbd-3d-10class.py new file mode 100644 index 0000000..7121b75 --- /dev/null +++ b/projects/configs/_base_/datasets/sunrgbd-3d-10class.py @@ -0,0 +1,107 @@ +dataset_type = 'SUNRGBDDataset' +data_root = 'data/sunrgbd/' +class_names = ('bed', 'table', 'sofa', 'chair', 'toilet', 'desk', 'dresser', + 'night_stand', 'bookshelf', 'bathtub') +train_pipeline = [ + dict( + type='LoadPointsFromFile', + coord_type='DEPTH', + shift_height=True, + load_dim=6, + use_dim=[0, 1, 2]), + dict(type='LoadAnnotations3D'), + dict( + type='RandomFlip3D', + sync_2d=False, + flip_ratio_bev_horizontal=0.5, + ), + dict( + type='GlobalRotScaleTrans', + rot_range=[-0.523599, 0.523599], + scale_ratio_range=[0.85, 1.15], + shift_height=True), + dict(type='PointSample', num_points=20000), + dict(type='DefaultFormatBundle3D', class_names=class_names), + dict(type='Collect3D', keys=['points', 'gt_bboxes_3d', 'gt_labels_3d']) +] +test_pipeline = [ + dict( + type='LoadPointsFromFile', + coord_type='DEPTH', + shift_height=True, + load_dim=6, + use_dim=[0, 1, 2]), + dict( + type='MultiScaleFlipAug3D', + img_scale=(1333, 800), + pts_scale_ratio=1, + flip=False, + transforms=[ + dict( + type='GlobalRotScaleTrans', + rot_range=[0, 0], + scale_ratio_range=[1., 1.], + translation_std=[0, 0, 0]), + dict( + type='RandomFlip3D', + sync_2d=False, + flip_ratio_bev_horizontal=0.5, + ), + dict(type='PointSample', num_points=20000), + dict( + type='DefaultFormatBundle3D', + class_names=class_names, + with_label=False), + dict(type='Collect3D', keys=['points']) + ]) +] +# construct a pipeline for data and gt loading in show function +# please keep its loading function consistent with test_pipeline (e.g. client) +eval_pipeline = [ + dict( + type='LoadPointsFromFile', + coord_type='DEPTH', + shift_height=False, + load_dim=6, + use_dim=[0, 1, 2]), + dict( + type='DefaultFormatBundle3D', + class_names=class_names, + with_label=False), + dict(type='Collect3D', keys=['points']) +] + +data = dict( + samples_per_gpu=16, + workers_per_gpu=4, + train=dict( + type='RepeatDataset', + times=5, + dataset=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'sunrgbd_infos_train.pkl', + pipeline=train_pipeline, + classes=class_names, + filter_empty_gt=False, + # we use box_type_3d='LiDAR' in kitti and nuscenes dataset + # and box_type_3d='Depth' in sunrgbd and scannet dataset. + box_type_3d='Depth')), + val=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'sunrgbd_infos_val.pkl', + pipeline=test_pipeline, + classes=class_names, + test_mode=True, + box_type_3d='Depth'), + test=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'sunrgbd_infos_val.pkl', + pipeline=test_pipeline, + classes=class_names, + test_mode=True, + box_type_3d='Depth')) + +evaluation = dict(pipeline=eval_pipeline) diff --git a/projects/configs/_base_/datasets/waymoD5-3d-3class.py b/projects/configs/_base_/datasets/waymoD5-3d-3class.py new file mode 100644 index 0000000..920ac15 --- /dev/null +++ b/projects/configs/_base_/datasets/waymoD5-3d-3class.py @@ -0,0 +1,145 @@ +# dataset settings +# D5 in the config name means the whole dataset is divided into 5 folds +# We only use one fold for efficient experiments +dataset_type = 'LidarWaymoDataset' +data_root = 'data/waymo-full/kitti_format/' +file_client_args = dict(backend='disk') +# Uncomment the following if use ceph or other file clients. +# See https://mmcv.readthedocs.io/en/latest/api.html#mmcv.fileio.FileClient +# for more details. +# file_client_args = dict( +# backend='petrel', path_mapping=dict(data='s3://waymo_data/')) + +class_names = ['Car', 'Pedestrian', 'Cyclist'] +point_cloud_range = [-74.88, -74.88, -2, 74.88, 74.88, 4] +input_modality = dict(use_lidar=True, use_camera=False) +db_sampler = dict( + data_root=data_root, + info_path=data_root + 'waymo_dbinfos_train.pkl', + rate=1.0, + prepare=dict( + filter_by_difficulty=[-1], + filter_by_min_points=dict(Car=5, Pedestrian=10, Cyclist=10)), + classes=class_names, + sample_groups=dict(Car=15, Pedestrian=10, Cyclist=10), + points_loader=dict( + type='LoadPointsFromFile', + coord_type='LIDAR', + load_dim=5, + use_dim=[0, 1, 2, 3, 4], + file_client_args=file_client_args)) + +train_pipeline = [ + dict( + type='LoadPointsFromFile', + coord_type='LIDAR', + load_dim=6, + use_dim=5, + file_client_args=file_client_args), + dict( + type='LoadAnnotations3D', + with_bbox_3d=True, + with_label_3d=True, + file_client_args=file_client_args), + dict(type='ObjectSample', db_sampler=db_sampler), + dict( + type='RandomFlip3D', + sync_2d=False, + flip_ratio_bev_horizontal=0.5, + flip_ratio_bev_vertical=0.5), + dict( + type='GlobalRotScaleTrans', + rot_range=[-0.78539816, 0.78539816], + scale_ratio_range=[0.95, 1.05]), + dict(type='PointsRangeFilter', point_cloud_range=point_cloud_range), + dict(type='ObjectRangeFilter', point_cloud_range=point_cloud_range), + dict(type='PointShuffle'), + dict(type='DefaultFormatBundle3D', class_names=class_names), + dict(type='Collect3D', keys=['points', 'gt_bboxes_3d', 'gt_labels_3d']) +] +test_pipeline = [ + dict( + type='LoadPointsFromFile', + coord_type='LIDAR', + load_dim=6, + use_dim=5, + file_client_args=file_client_args), + dict( + type='MultiScaleFlipAug3D', + img_scale=(1333, 800), + pts_scale_ratio=1, + flip=False, + transforms=[ + dict( + type='GlobalRotScaleTrans', + rot_range=[0, 0], + scale_ratio_range=[1., 1.], + translation_std=[0, 0, 0]), + dict(type='RandomFlip3D'), + dict( + type='PointsRangeFilter', point_cloud_range=point_cloud_range), + dict( + type='DefaultFormatBundle3D', + class_names=class_names, + with_label=False), + dict(type='Collect3D', keys=['points']) + ]) +] +# construct a pipeline for data and gt loading in show function +# please keep its loading function consistent with test_pipeline (e.g. client) +eval_pipeline = [ + dict( + type='LoadPointsFromFile', + coord_type='LIDAR', + load_dim=6, + use_dim=5, + file_client_args=file_client_args), + dict( + type='DefaultFormatBundle3D', + class_names=class_names, + with_label=False), + dict(type='Collect3D', keys=['points']) +] + +data = dict( + samples_per_gpu=2, + workers_per_gpu=4, + train=dict( + type='RepeatDataset', + times=2, + dataset=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'waymo_infos_train.pkl', + split='training', + pipeline=train_pipeline, + modality=input_modality, + classes=class_names, + test_mode=False, + # we use box_type_3d='LiDAR' in kitti and nuscenes dataset + # and box_type_3d='Depth' in sunrgbd and scannet dataset. + box_type_3d='LiDAR', + # load one frame every five frames + load_interval=5)), + val=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'waymo_infos_val.pkl', + split='training', + pipeline=test_pipeline, + modality=input_modality, + classes=class_names, + test_mode=True, + box_type_3d='LiDAR'), + test=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'waymo_infos_val.pkl', + split='training', + pipeline=test_pipeline, + modality=input_modality, + classes=class_names, + test_mode=True, + box_type_3d='LiDAR')) + +evaluation = dict(interval=24, pipeline=eval_pipeline) diff --git a/projects/configs/_base_/datasets/waymoD5-3d-car.py b/projects/configs/_base_/datasets/waymoD5-3d-car.py new file mode 100644 index 0000000..02e2627 --- /dev/null +++ b/projects/configs/_base_/datasets/waymoD5-3d-car.py @@ -0,0 +1,143 @@ +# dataset settings +# D5 in the config name means the whole dataset is divided into 5 folds +# We only use one fold for efficient experiments +dataset_type = 'WaymoDataset' +data_root = 'data/waymo/kitti_format/' +file_client_args = dict(backend='disk') +# Uncomment the following if use ceph or other file clients. +# See https://mmcv.readthedocs.io/en/latest/api.html#mmcv.fileio.FileClient +# for more details. +# file_client_args = dict( +# backend='petrel', path_mapping=dict(data='s3://waymo_data/')) + +class_names = ['Car'] +point_cloud_range = [-74.88, -74.88, -2, 74.88, 74.88, 4] +input_modality = dict(use_lidar=True, use_camera=False) +db_sampler = dict( + data_root=data_root, + info_path=data_root + 'waymo_dbinfos_train.pkl', + rate=1.0, + prepare=dict(filter_by_difficulty=[-1], filter_by_min_points=dict(Car=5)), + classes=class_names, + sample_groups=dict(Car=15), + points_loader=dict( + type='LoadPointsFromFile', + coord_type='LIDAR', + load_dim=5, + use_dim=[0, 1, 2, 3, 4], + file_client_args=file_client_args)) + +train_pipeline = [ + dict( + type='LoadPointsFromFile', + coord_type='LIDAR', + load_dim=6, + use_dim=5, + file_client_args=file_client_args), + dict( + type='LoadAnnotations3D', + with_bbox_3d=True, + with_label_3d=True, + file_client_args=file_client_args), + dict(type='ObjectSample', db_sampler=db_sampler), + dict( + type='RandomFlip3D', + sync_2d=False, + flip_ratio_bev_horizontal=0.5, + flip_ratio_bev_vertical=0.5), + dict( + type='GlobalRotScaleTrans', + rot_range=[-0.78539816, 0.78539816], + scale_ratio_range=[0.95, 1.05]), + dict(type='PointsRangeFilter', point_cloud_range=point_cloud_range), + dict(type='ObjectRangeFilter', point_cloud_range=point_cloud_range), + dict(type='PointShuffle'), + dict(type='DefaultFormatBundle3D', class_names=class_names), + dict(type='Collect3D', keys=['points', 'gt_bboxes_3d', 'gt_labels_3d']) +] +test_pipeline = [ + dict( + type='LoadPointsFromFile', + coord_type='LIDAR', + load_dim=6, + use_dim=5, + file_client_args=file_client_args), + dict( + type='MultiScaleFlipAug3D', + img_scale=(1333, 800), + pts_scale_ratio=1, + flip=False, + transforms=[ + dict( + type='GlobalRotScaleTrans', + rot_range=[0, 0], + scale_ratio_range=[1., 1.], + translation_std=[0, 0, 0]), + dict(type='RandomFlip3D'), + dict( + type='PointsRangeFilter', point_cloud_range=point_cloud_range), + dict( + type='DefaultFormatBundle3D', + class_names=class_names, + with_label=False), + dict(type='Collect3D', keys=['points']) + ]) +] +# construct a pipeline for data and gt loading in show function +# please keep its loading function consistent with test_pipeline (e.g. client) +eval_pipeline = [ + dict( + type='LoadPointsFromFile', + coord_type='LIDAR', + load_dim=6, + use_dim=5, + file_client_args=file_client_args), + dict( + type='DefaultFormatBundle3D', + class_names=class_names, + with_label=False), + dict(type='Collect3D', keys=['points']) +] + +data = dict( + samples_per_gpu=2, + workers_per_gpu=4, + train=dict( + type='RepeatDataset', + times=2, + dataset=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'waymo_infos_train.pkl', + split='training', + pipeline=train_pipeline, + modality=input_modality, + classes=class_names, + test_mode=False, + # we use box_type_3d='LiDAR' in kitti and nuscenes dataset + # and box_type_3d='Depth' in sunrgbd and scannet dataset. + box_type_3d='LiDAR', + # load one frame every five frames + load_interval=5)), + val=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'waymo_infos_val.pkl', + split='training', + pipeline=test_pipeline, + modality=input_modality, + classes=class_names, + test_mode=True, + box_type_3d='LiDAR'), + test=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'waymo_infos_val.pkl', + split='training', + pipeline=test_pipeline, + modality=input_modality, + classes=class_names, + test_mode=True, + box_type_3d='LiDAR')) + +evaluation = dict(interval=24, pipeline=eval_pipeline) diff --git a/projects/configs/_base_/default_runtime.py b/projects/configs/_base_/default_runtime.py new file mode 100644 index 0000000..4e85b69 --- /dev/null +++ b/projects/configs/_base_/default_runtime.py @@ -0,0 +1,18 @@ +checkpoint_config = dict(interval=1) +# yapf:disable push +# By default we use textlogger hook and tensorboard +# For more loggers see +# https://mmcv.readthedocs.io/en/latest/api.html#mmcv.runner.LoggerHook +log_config = dict( + interval=50, + hooks=[ + dict(type='TextLoggerHook'), + dict(type='TensorboardLoggerHook') + ]) +# yapf:enable +dist_params = dict(backend='nccl') +log_level = 'INFO' +work_dir = None +load_from = None +resume_from = None +workflow = [('train', 1)] diff --git a/projects/configs/_base_/models/3dssd.py b/projects/configs/_base_/models/3dssd.py new file mode 100644 index 0000000..55344c7 --- /dev/null +++ b/projects/configs/_base_/models/3dssd.py @@ -0,0 +1,77 @@ +model = dict( + type='SSD3DNet', + backbone=dict( + type='PointNet2SAMSG', + in_channels=4, + num_points=(4096, 512, (256, 256)), + radii=((0.2, 0.4, 0.8), (0.4, 0.8, 1.6), (1.6, 3.2, 4.8)), + num_samples=((32, 32, 64), (32, 32, 64), (32, 32, 32)), + sa_channels=(((16, 16, 32), (16, 16, 32), (32, 32, 64)), + ((64, 64, 128), (64, 64, 128), (64, 96, 128)), + ((128, 128, 256), (128, 192, 256), (128, 256, 256))), + aggregation_channels=(64, 128, 256), + fps_mods=(('D-FPS'), ('FS'), ('F-FPS', 'D-FPS')), + fps_sample_range_lists=((-1), (-1), (512, -1)), + norm_cfg=dict(type='BN2d', eps=1e-3, momentum=0.1), + sa_cfg=dict( + type='PointSAModuleMSG', + pool_mod='max', + use_xyz=True, + normalize_xyz=False)), + bbox_head=dict( + type='SSD3DHead', + in_channels=256, + vote_module_cfg=dict( + in_channels=256, + num_points=256, + gt_per_seed=1, + conv_channels=(128, ), + conv_cfg=dict(type='Conv1d'), + norm_cfg=dict(type='BN1d', eps=1e-3, momentum=0.1), + with_res_feat=False, + vote_xyz_range=(3.0, 3.0, 2.0)), + vote_aggregation_cfg=dict( + type='PointSAModuleMSG', + num_point=256, + radii=(4.8, 6.4), + sample_nums=(16, 32), + mlp_channels=((256, 256, 256, 512), (256, 256, 512, 1024)), + norm_cfg=dict(type='BN2d', eps=1e-3, momentum=0.1), + use_xyz=True, + normalize_xyz=False, + bias=True), + pred_layer_cfg=dict( + in_channels=1536, + shared_conv_channels=(512, 128), + cls_conv_channels=(128, ), + reg_conv_channels=(128, ), + conv_cfg=dict(type='Conv1d'), + norm_cfg=dict(type='BN1d', eps=1e-3, momentum=0.1), + bias=True), + conv_cfg=dict(type='Conv1d'), + norm_cfg=dict(type='BN1d', eps=1e-3, momentum=0.1), + objectness_loss=dict( + type='CrossEntropyLoss', + use_sigmoid=True, + reduction='sum', + loss_weight=1.0), + center_loss=dict( + type='SmoothL1Loss', reduction='sum', loss_weight=1.0), + dir_class_loss=dict( + type='CrossEntropyLoss', reduction='sum', loss_weight=1.0), + dir_res_loss=dict( + type='SmoothL1Loss', reduction='sum', loss_weight=1.0), + size_res_loss=dict( + type='SmoothL1Loss', reduction='sum', loss_weight=1.0), + corner_loss=dict( + type='SmoothL1Loss', reduction='sum', loss_weight=1.0), + vote_loss=dict(type='SmoothL1Loss', reduction='sum', loss_weight=1.0)), + # model training and testing settings + train_cfg=dict( + sample_mod='spec', pos_distance_thr=10.0, expand_dims_length=0.05), + test_cfg=dict( + nms_cfg=dict(type='nms', iou_thr=0.1), + sample_mod='spec', + score_thr=0.0, + per_class_proposal=True, + max_output_num=100)) diff --git a/projects/configs/_base_/models/cascade_mask_rcnn_r50_fpn.py b/projects/configs/_base_/models/cascade_mask_rcnn_r50_fpn.py new file mode 100644 index 0000000..fb9e0a8 --- /dev/null +++ b/projects/configs/_base_/models/cascade_mask_rcnn_r50_fpn.py @@ -0,0 +1,200 @@ +# model settings +model = dict( + type='CascadeRCNN', + pretrained='torchvision://resnet50', + backbone=dict( + type='ResNet', + depth=50, + num_stages=4, + out_indices=(0, 1, 2, 3), + frozen_stages=1, + norm_cfg=dict(type='BN', requires_grad=True), + norm_eval=True, + style='pytorch'), + neck=dict( + type='FPN', + in_channels=[256, 512, 1024, 2048], + out_channels=256, + num_outs=5), + rpn_head=dict( + type='RPNHead', + in_channels=256, + feat_channels=256, + anchor_generator=dict( + type='AnchorGenerator', + scales=[8], + ratios=[0.5, 1.0, 2.0], + strides=[4, 8, 16, 32, 64]), + bbox_coder=dict( + type='DeltaXYWHBBoxCoder', + target_means=[.0, .0, .0, .0], + target_stds=[1.0, 1.0, 1.0, 1.0]), + loss_cls=dict( + type='CrossEntropyLoss', use_sigmoid=True, loss_weight=1.0), + loss_bbox=dict(type='SmoothL1Loss', beta=1.0 / 9.0, loss_weight=1.0)), + roi_head=dict( + type='CascadeRoIHead', + num_stages=3, + stage_loss_weights=[1, 0.5, 0.25], + bbox_roi_extractor=dict( + type='SingleRoIExtractor', + roi_layer=dict(type='RoIAlign', output_size=7, sampling_ratio=0), + out_channels=256, + featmap_strides=[4, 8, 16, 32]), + bbox_head=[ + dict( + type='Shared2FCBBoxHead', + in_channels=256, + fc_out_channels=1024, + roi_feat_size=7, + num_classes=80, + bbox_coder=dict( + type='DeltaXYWHBBoxCoder', + target_means=[0., 0., 0., 0.], + target_stds=[0.1, 0.1, 0.2, 0.2]), + reg_class_agnostic=True, + loss_cls=dict( + type='CrossEntropyLoss', + use_sigmoid=False, + loss_weight=1.0), + loss_bbox=dict(type='SmoothL1Loss', beta=1.0, + loss_weight=1.0)), + dict( + type='Shared2FCBBoxHead', + in_channels=256, + fc_out_channels=1024, + roi_feat_size=7, + num_classes=80, + bbox_coder=dict( + type='DeltaXYWHBBoxCoder', + target_means=[0., 0., 0., 0.], + target_stds=[0.05, 0.05, 0.1, 0.1]), + reg_class_agnostic=True, + loss_cls=dict( + type='CrossEntropyLoss', + use_sigmoid=False, + loss_weight=1.0), + loss_bbox=dict(type='SmoothL1Loss', beta=1.0, + loss_weight=1.0)), + dict( + type='Shared2FCBBoxHead', + in_channels=256, + fc_out_channels=1024, + roi_feat_size=7, + num_classes=80, + bbox_coder=dict( + type='DeltaXYWHBBoxCoder', + target_means=[0., 0., 0., 0.], + target_stds=[0.033, 0.033, 0.067, 0.067]), + reg_class_agnostic=True, + loss_cls=dict( + type='CrossEntropyLoss', + use_sigmoid=False, + loss_weight=1.0), + loss_bbox=dict(type='SmoothL1Loss', beta=1.0, loss_weight=1.0)) + ], + mask_roi_extractor=dict( + type='SingleRoIExtractor', + roi_layer=dict(type='RoIAlign', output_size=14, sampling_ratio=0), + out_channels=256, + featmap_strides=[4, 8, 16, 32]), + mask_head=dict( + type='FCNMaskHead', + num_convs=4, + in_channels=256, + conv_out_channels=256, + num_classes=80, + loss_mask=dict( + type='CrossEntropyLoss', use_mask=True, loss_weight=1.0))), + # model training and testing settings + train_cfg=dict( + rpn=dict( + assigner=dict( + type='MaxIoUAssigner', + pos_iou_thr=0.7, + neg_iou_thr=0.3, + min_pos_iou=0.3, + match_low_quality=True, + ignore_iof_thr=-1), + sampler=dict( + type='RandomSampler', + num=256, + pos_fraction=0.5, + neg_pos_ub=-1, + add_gt_as_proposals=False), + allowed_border=0, + pos_weight=-1, + debug=False), + rpn_proposal=dict( + nms_across_levels=False, + nms_pre=2000, + nms_post=2000, + max_num=2000, + nms_thr=0.7, + min_bbox_size=0), + rcnn=[ + dict( + assigner=dict( + type='MaxIoUAssigner', + pos_iou_thr=0.5, + neg_iou_thr=0.5, + min_pos_iou=0.5, + match_low_quality=False, + ignore_iof_thr=-1), + sampler=dict( + type='RandomSampler', + num=512, + pos_fraction=0.25, + neg_pos_ub=-1, + add_gt_as_proposals=True), + mask_size=28, + pos_weight=-1, + debug=False), + dict( + assigner=dict( + type='MaxIoUAssigner', + pos_iou_thr=0.6, + neg_iou_thr=0.6, + min_pos_iou=0.6, + match_low_quality=False, + ignore_iof_thr=-1), + sampler=dict( + type='RandomSampler', + num=512, + pos_fraction=0.25, + neg_pos_ub=-1, + add_gt_as_proposals=True), + mask_size=28, + pos_weight=-1, + debug=False), + dict( + assigner=dict( + type='MaxIoUAssigner', + pos_iou_thr=0.7, + neg_iou_thr=0.7, + min_pos_iou=0.7, + match_low_quality=False, + ignore_iof_thr=-1), + sampler=dict( + type='RandomSampler', + num=512, + pos_fraction=0.25, + neg_pos_ub=-1, + add_gt_as_proposals=True), + mask_size=28, + pos_weight=-1, + debug=False) + ]), + test_cfg=dict( + rpn=dict( + nms_across_levels=False, + nms_pre=1000, + nms_post=1000, + max_num=1000, + nms_thr=0.7, + min_bbox_size=0), + rcnn=dict( + score_thr=0.05, + nms=dict(type='nms', iou_threshold=0.5), + max_per_img=100, + mask_thr_binary=0.5))) diff --git a/projects/configs/_base_/models/centerpoint_01voxel_second_secfpn_nus.py b/projects/configs/_base_/models/centerpoint_01voxel_second_secfpn_nus.py new file mode 100644 index 0000000..efdce59 --- /dev/null +++ b/projects/configs/_base_/models/centerpoint_01voxel_second_secfpn_nus.py @@ -0,0 +1,83 @@ +voxel_size = [0.1, 0.1, 0.2] +model = dict( + type='CenterPoint', + pts_voxel_layer=dict( + max_num_points=10, voxel_size=voxel_size, max_voxels=(90000, 120000)), + pts_voxel_encoder=dict(type='HardSimpleVFE', num_features=5), + pts_middle_encoder=dict( + type='SparseEncoder', + in_channels=5, + sparse_shape=[41, 1024, 1024], + output_channels=128, + order=('conv', 'norm', 'act'), + encoder_channels=((16, 16, 32), (32, 32, 64), (64, 64, 128), (128, + 128)), + encoder_paddings=((0, 0, 1), (0, 0, 1), (0, 0, [0, 1, 1]), (0, 0)), + block_type='basicblock'), + pts_backbone=dict( + type='SECOND', + in_channels=256, + out_channels=[128, 256], + layer_nums=[5, 5], + layer_strides=[1, 2], + norm_cfg=dict(type='BN', eps=1e-3, momentum=0.01), + conv_cfg=dict(type='Conv2d', bias=False)), + pts_neck=dict( + type='SECONDFPN', + in_channels=[128, 256], + out_channels=[256, 256], + upsample_strides=[1, 2], + norm_cfg=dict(type='BN', eps=1e-3, momentum=0.01), + upsample_cfg=dict(type='deconv', bias=False), + use_conv_for_no_stride=True), + pts_bbox_head=dict( + type='CenterHead', + in_channels=sum([256, 256]), + tasks=[ + dict(num_class=1, class_names=['car']), + dict(num_class=2, class_names=['truck', 'construction_vehicle']), + dict(num_class=2, class_names=['bus', 'trailer']), + dict(num_class=1, class_names=['barrier']), + dict(num_class=2, class_names=['motorcycle', 'bicycle']), + dict(num_class=2, class_names=['pedestrian', 'traffic_cone']), + ], + common_heads=dict( + reg=(2, 2), height=(1, 2), dim=(3, 2), rot=(2, 2), vel=(2, 2)), + share_conv_channel=64, + bbox_coder=dict( + type='CenterPointBBoxCoder', + post_center_range=[-61.2, -61.2, -10.0, 61.2, 61.2, 10.0], + max_num=500, + score_threshold=0.1, + out_size_factor=8, + voxel_size=voxel_size[:2], + code_size=9), + separate_head=dict( + type='SeparateHead', init_bias=-2.19, final_kernel=3), + loss_cls=dict(type='GaussianFocalLoss', reduction='mean'), + loss_bbox=dict(type='L1Loss', reduction='mean', loss_weight=0.25), + norm_bbox=True), + # model training and testing settings + train_cfg=dict( + pts=dict( + grid_size=[1024, 1024, 40], + voxel_size=voxel_size, + out_size_factor=8, + dense_reg=1, + gaussian_overlap=0.1, + max_objs=500, + min_radius=2, + code_weights=[1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.2, 0.2])), + test_cfg=dict( + pts=dict( + post_center_limit_range=[-61.2, -61.2, -10.0, 61.2, 61.2, 10.0], + max_per_img=500, + max_pool_nms=False, + min_radius=[4, 12, 10, 1, 0.85, 0.175], + score_threshold=0.1, + out_size_factor=8, + voxel_size=voxel_size[:2], + nms_type='rotate', + pre_max_size=1000, + post_max_size=83, + nms_thr=0.2))) diff --git a/projects/configs/_base_/models/centerpoint_02pillar_second_secfpn_nus.py b/projects/configs/_base_/models/centerpoint_02pillar_second_secfpn_nus.py new file mode 100644 index 0000000..311d763 --- /dev/null +++ b/projects/configs/_base_/models/centerpoint_02pillar_second_secfpn_nus.py @@ -0,0 +1,83 @@ +voxel_size = [0.2, 0.2, 8] +model = dict( + type='CenterPoint', + pts_voxel_layer=dict( + max_num_points=20, voxel_size=voxel_size, max_voxels=(30000, 40000)), + pts_voxel_encoder=dict( + type='PillarFeatureNet', + in_channels=5, + feat_channels=[64], + with_distance=False, + voxel_size=(0.2, 0.2, 8), + norm_cfg=dict(type='BN1d', eps=1e-3, momentum=0.01), + legacy=False), + pts_middle_encoder=dict( + type='PointPillarsScatter', in_channels=64, output_shape=(512, 512)), + pts_backbone=dict( + type='SECOND', + in_channels=64, + out_channels=[64, 128, 256], + layer_nums=[3, 5, 5], + layer_strides=[2, 2, 2], + norm_cfg=dict(type='BN', eps=1e-3, momentum=0.01), + conv_cfg=dict(type='Conv2d', bias=False)), + pts_neck=dict( + type='SECONDFPN', + in_channels=[64, 128, 256], + out_channels=[128, 128, 128], + upsample_strides=[0.5, 1, 2], + norm_cfg=dict(type='BN', eps=1e-3, momentum=0.01), + upsample_cfg=dict(type='deconv', bias=False), + use_conv_for_no_stride=True), + pts_bbox_head=dict( + type='CenterHead', + in_channels=sum([128, 128, 128]), + tasks=[ + dict(num_class=1, class_names=['car']), + dict(num_class=2, class_names=['truck', 'construction_vehicle']), + dict(num_class=2, class_names=['bus', 'trailer']), + dict(num_class=1, class_names=['barrier']), + dict(num_class=2, class_names=['motorcycle', 'bicycle']), + dict(num_class=2, class_names=['pedestrian', 'traffic_cone']), + ], + common_heads=dict( + reg=(2, 2), height=(1, 2), dim=(3, 2), rot=(2, 2), vel=(2, 2)), + share_conv_channel=64, + bbox_coder=dict( + type='CenterPointBBoxCoder', + post_center_range=[-61.2, -61.2, -10.0, 61.2, 61.2, 10.0], + max_num=500, + score_threshold=0.1, + out_size_factor=4, + voxel_size=voxel_size[:2], + code_size=9), + separate_head=dict( + type='SeparateHead', init_bias=-2.19, final_kernel=3), + loss_cls=dict(type='GaussianFocalLoss', reduction='mean'), + loss_bbox=dict(type='L1Loss', reduction='mean', loss_weight=0.25), + norm_bbox=True), + # model training and testing settings + train_cfg=dict( + pts=dict( + grid_size=[512, 512, 1], + voxel_size=voxel_size, + out_size_factor=4, + dense_reg=1, + gaussian_overlap=0.1, + max_objs=500, + min_radius=2, + code_weights=[1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.2, 0.2])), + test_cfg=dict( + pts=dict( + post_center_limit_range=[-61.2, -61.2, -10.0, 61.2, 61.2, 10.0], + max_per_img=500, + max_pool_nms=False, + min_radius=[4, 12, 10, 1, 0.85, 0.175], + score_threshold=0.1, + pc_range=[-51.2, -51.2], + out_size_factor=4, + voxel_size=voxel_size[:2], + nms_type='rotate', + pre_max_size=1000, + post_max_size=83, + nms_thr=0.2))) diff --git a/projects/configs/_base_/models/fcos3d.py b/projects/configs/_base_/models/fcos3d.py new file mode 100644 index 0000000..92ea907 --- /dev/null +++ b/projects/configs/_base_/models/fcos3d.py @@ -0,0 +1,74 @@ +model = dict( + type='FCOSMono3D', + pretrained='open-mmlab://detectron2/resnet101_caffe', + backbone=dict( + type='ResNet', + depth=101, + num_stages=4, + out_indices=(0, 1, 2, 3), + frozen_stages=1, + norm_cfg=dict(type='BN', requires_grad=False), + norm_eval=True, + style='caffe'), + neck=dict( + type='FPN', + in_channels=[256, 512, 1024, 2048], + out_channels=256, + start_level=1, + add_extra_convs='on_output', + num_outs=5, + relu_before_extra_convs=True), + bbox_head=dict( + type='FCOSMono3DHead', + num_classes=10, + in_channels=256, + stacked_convs=2, + feat_channels=256, + use_direction_classifier=True, + diff_rad_by_sin=True, + pred_attrs=True, + pred_velo=True, + dir_offset=0.7854, # pi/4 + strides=[8, 16, 32, 64, 128], + group_reg_dims=(2, 1, 3, 1, 2), # offset, depth, size, rot, velo + cls_branch=(256, ), + reg_branch=( + (256, ), # offset + (256, ), # depth + (256, ), # size + (256, ), # rot + () # velo + ), + dir_branch=(256, ), + attr_branch=(256, ), + loss_cls=dict( + type='FocalLoss', + use_sigmoid=True, + gamma=2.0, + alpha=0.25, + loss_weight=1.0), + loss_bbox=dict(type='SmoothL1Loss', beta=1.0 / 9.0, loss_weight=1.0), + loss_dir=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0), + loss_attr=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0), + loss_centerness=dict( + type='CrossEntropyLoss', use_sigmoid=True, loss_weight=1.0), + norm_on_bbox=True, + centerness_on_reg=True, + center_sampling=True, + conv_bias=True, + dcn_on_last_conv=True), + train_cfg=dict( + allowed_border=0, + code_weight=[1.0, 1.0, 0.2, 1.0, 1.0, 1.0, 1.0, 0.05, 0.05], + pos_weight=-1, + debug=False), + test_cfg=dict( + use_rotate_nms=True, + nms_across_levels=False, + nms_pre=1000, + nms_thr=0.8, + score_thr=0.05, + min_bbox_size=0, + max_per_img=200)) diff --git a/projects/configs/_base_/models/groupfree3d.py b/projects/configs/_base_/models/groupfree3d.py new file mode 100644 index 0000000..077d049 --- /dev/null +++ b/projects/configs/_base_/models/groupfree3d.py @@ -0,0 +1,71 @@ +model = dict( + type='GroupFree3DNet', + backbone=dict( + type='PointNet2SASSG', + in_channels=3, + num_points=(2048, 1024, 512, 256), + radius=(0.2, 0.4, 0.8, 1.2), + num_samples=(64, 32, 16, 16), + sa_channels=((64, 64, 128), (128, 128, 256), (128, 128, 256), + (128, 128, 256)), + fp_channels=((256, 256), (256, 288)), + norm_cfg=dict(type='BN2d'), + sa_cfg=dict( + type='PointSAModule', + pool_mod='max', + use_xyz=True, + normalize_xyz=True)), + bbox_head=dict( + type='GroupFree3DHead', + in_channels=288, + num_decoder_layers=6, + num_proposal=256, + transformerlayers=dict( + type='BaseTransformerLayer', + attn_cfgs=dict( + type='GroupFree3DMHA', + embed_dims=288, + num_heads=8, + attn_drop=0.1, + dropout_layer=dict(type='Dropout', drop_prob=0.1)), + ffn_cfgs=dict( + embed_dims=288, + feedforward_channels=2048, + ffn_drop=0.1, + act_cfg=dict(type='ReLU', inplace=True)), + operation_order=('self_attn', 'norm', 'cross_attn', 'norm', 'ffn', + 'norm')), + pred_layer_cfg=dict( + in_channels=288, shared_conv_channels=(288, 288), bias=True), + sampling_objectness_loss=dict( + type='FocalLoss', + use_sigmoid=True, + gamma=2.0, + alpha=0.25, + loss_weight=8.0), + objectness_loss=dict( + type='FocalLoss', + use_sigmoid=True, + gamma=2.0, + alpha=0.25, + loss_weight=1.0), + center_loss=dict( + type='SmoothL1Loss', reduction='sum', loss_weight=10.0), + dir_class_loss=dict( + type='CrossEntropyLoss', reduction='sum', loss_weight=1.0), + dir_res_loss=dict( + type='SmoothL1Loss', reduction='sum', loss_weight=10.0), + size_class_loss=dict( + type='CrossEntropyLoss', reduction='sum', loss_weight=1.0), + size_res_loss=dict( + type='SmoothL1Loss', beta=1.0, reduction='sum', loss_weight=10.0), + semantic_loss=dict( + type='CrossEntropyLoss', reduction='sum', loss_weight=1.0)), + # model training and testing settings + train_cfg=dict(sample_mod='kps'), + test_cfg=dict( + sample_mod='kps', + nms_thr=0.25, + score_thr=0.0, + per_class_proposal=True, + prediction_stages='last')) diff --git a/projects/configs/_base_/models/h3dnet.py b/projects/configs/_base_/models/h3dnet.py new file mode 100644 index 0000000..7605667 --- /dev/null +++ b/projects/configs/_base_/models/h3dnet.py @@ -0,0 +1,341 @@ +primitive_z_cfg = dict( + type='PrimitiveHead', + num_dims=2, + num_classes=18, + primitive_mode='z', + upper_thresh=100.0, + surface_thresh=0.5, + vote_module_cfg=dict( + in_channels=256, + vote_per_seed=1, + gt_per_seed=1, + conv_channels=(256, 256), + conv_cfg=dict(type='Conv1d'), + norm_cfg=dict(type='BN1d'), + norm_feats=True, + vote_loss=dict( + type='ChamferDistance', + mode='l1', + reduction='none', + loss_dst_weight=10.0)), + vote_aggregation_cfg=dict( + type='PointSAModule', + num_point=1024, + radius=0.3, + num_sample=16, + mlp_channels=[256, 128, 128, 128], + use_xyz=True, + normalize_xyz=True), + feat_channels=(128, 128), + conv_cfg=dict(type='Conv1d'), + norm_cfg=dict(type='BN1d'), + objectness_loss=dict( + type='CrossEntropyLoss', + class_weight=[0.4, 0.6], + reduction='mean', + loss_weight=30.0), + center_loss=dict( + type='ChamferDistance', + mode='l1', + reduction='sum', + loss_src_weight=0.5, + loss_dst_weight=0.5), + semantic_reg_loss=dict( + type='ChamferDistance', + mode='l1', + reduction='sum', + loss_src_weight=0.5, + loss_dst_weight=0.5), + semantic_cls_loss=dict( + type='CrossEntropyLoss', reduction='sum', loss_weight=1.0), + train_cfg=dict( + dist_thresh=0.2, + var_thresh=1e-2, + lower_thresh=1e-6, + num_point=100, + num_point_line=10, + line_thresh=0.2)) + +primitive_xy_cfg = dict( + type='PrimitiveHead', + num_dims=1, + num_classes=18, + primitive_mode='xy', + upper_thresh=100.0, + surface_thresh=0.5, + vote_module_cfg=dict( + in_channels=256, + vote_per_seed=1, + gt_per_seed=1, + conv_channels=(256, 256), + conv_cfg=dict(type='Conv1d'), + norm_cfg=dict(type='BN1d'), + norm_feats=True, + vote_loss=dict( + type='ChamferDistance', + mode='l1', + reduction='none', + loss_dst_weight=10.0)), + vote_aggregation_cfg=dict( + type='PointSAModule', + num_point=1024, + radius=0.3, + num_sample=16, + mlp_channels=[256, 128, 128, 128], + use_xyz=True, + normalize_xyz=True), + feat_channels=(128, 128), + conv_cfg=dict(type='Conv1d'), + norm_cfg=dict(type='BN1d'), + objectness_loss=dict( + type='CrossEntropyLoss', + class_weight=[0.4, 0.6], + reduction='mean', + loss_weight=30.0), + center_loss=dict( + type='ChamferDistance', + mode='l1', + reduction='sum', + loss_src_weight=0.5, + loss_dst_weight=0.5), + semantic_reg_loss=dict( + type='ChamferDistance', + mode='l1', + reduction='sum', + loss_src_weight=0.5, + loss_dst_weight=0.5), + semantic_cls_loss=dict( + type='CrossEntropyLoss', reduction='sum', loss_weight=1.0), + train_cfg=dict( + dist_thresh=0.2, + var_thresh=1e-2, + lower_thresh=1e-6, + num_point=100, + num_point_line=10, + line_thresh=0.2)) + +primitive_line_cfg = dict( + type='PrimitiveHead', + num_dims=0, + num_classes=18, + primitive_mode='line', + upper_thresh=100.0, + surface_thresh=0.5, + vote_module_cfg=dict( + in_channels=256, + vote_per_seed=1, + gt_per_seed=1, + conv_channels=(256, 256), + conv_cfg=dict(type='Conv1d'), + norm_cfg=dict(type='BN1d'), + norm_feats=True, + vote_loss=dict( + type='ChamferDistance', + mode='l1', + reduction='none', + loss_dst_weight=10.0)), + vote_aggregation_cfg=dict( + type='PointSAModule', + num_point=1024, + radius=0.3, + num_sample=16, + mlp_channels=[256, 128, 128, 128], + use_xyz=True, + normalize_xyz=True), + feat_channels=(128, 128), + conv_cfg=dict(type='Conv1d'), + norm_cfg=dict(type='BN1d'), + objectness_loss=dict( + type='CrossEntropyLoss', + class_weight=[0.4, 0.6], + reduction='mean', + loss_weight=30.0), + center_loss=dict( + type='ChamferDistance', + mode='l1', + reduction='sum', + loss_src_weight=1.0, + loss_dst_weight=1.0), + semantic_reg_loss=dict( + type='ChamferDistance', + mode='l1', + reduction='sum', + loss_src_weight=1.0, + loss_dst_weight=1.0), + semantic_cls_loss=dict( + type='CrossEntropyLoss', reduction='sum', loss_weight=2.0), + train_cfg=dict( + dist_thresh=0.2, + var_thresh=1e-2, + lower_thresh=1e-6, + num_point=100, + num_point_line=10, + line_thresh=0.2)) + +model = dict( + type='H3DNet', + backbone=dict( + type='MultiBackbone', + num_streams=4, + suffixes=['net0', 'net1', 'net2', 'net3'], + conv_cfg=dict(type='Conv1d'), + norm_cfg=dict(type='BN1d', eps=1e-5, momentum=0.01), + act_cfg=dict(type='ReLU'), + backbones=dict( + type='PointNet2SASSG', + in_channels=4, + num_points=(2048, 1024, 512, 256), + radius=(0.2, 0.4, 0.8, 1.2), + num_samples=(64, 32, 16, 16), + sa_channels=((64, 64, 128), (128, 128, 256), (128, 128, 256), + (128, 128, 256)), + fp_channels=((256, 256), (256, 256)), + norm_cfg=dict(type='BN2d'), + sa_cfg=dict( + type='PointSAModule', + pool_mod='max', + use_xyz=True, + normalize_xyz=True))), + rpn_head=dict( + type='VoteHead', + vote_module_cfg=dict( + in_channels=256, + vote_per_seed=1, + gt_per_seed=3, + conv_channels=(256, 256), + conv_cfg=dict(type='Conv1d'), + norm_cfg=dict(type='BN1d'), + norm_feats=True, + vote_loss=dict( + type='ChamferDistance', + mode='l1', + reduction='none', + loss_dst_weight=10.0)), + vote_aggregation_cfg=dict( + type='PointSAModule', + num_point=256, + radius=0.3, + num_sample=16, + mlp_channels=[256, 128, 128, 128], + use_xyz=True, + normalize_xyz=True), + pred_layer_cfg=dict( + in_channels=128, shared_conv_channels=(128, 128), bias=True), + conv_cfg=dict(type='Conv1d'), + norm_cfg=dict(type='BN1d'), + objectness_loss=dict( + type='CrossEntropyLoss', + class_weight=[0.2, 0.8], + reduction='sum', + loss_weight=5.0), + center_loss=dict( + type='ChamferDistance', + mode='l2', + reduction='sum', + loss_src_weight=10.0, + loss_dst_weight=10.0), + dir_class_loss=dict( + type='CrossEntropyLoss', reduction='sum', loss_weight=1.0), + dir_res_loss=dict( + type='SmoothL1Loss', reduction='sum', loss_weight=10.0), + size_class_loss=dict( + type='CrossEntropyLoss', reduction='sum', loss_weight=1.0), + size_res_loss=dict( + type='SmoothL1Loss', reduction='sum', loss_weight=10.0), + semantic_loss=dict( + type='CrossEntropyLoss', reduction='sum', loss_weight=1.0)), + roi_head=dict( + type='H3DRoIHead', + primitive_list=[primitive_z_cfg, primitive_xy_cfg, primitive_line_cfg], + bbox_head=dict( + type='H3DBboxHead', + gt_per_seed=3, + num_proposal=256, + suface_matching_cfg=dict( + type='PointSAModule', + num_point=256 * 6, + radius=0.5, + num_sample=32, + mlp_channels=[128 + 6, 128, 64, 32], + use_xyz=True, + normalize_xyz=True), + line_matching_cfg=dict( + type='PointSAModule', + num_point=256 * 12, + radius=0.5, + num_sample=32, + mlp_channels=[128 + 12, 128, 64, 32], + use_xyz=True, + normalize_xyz=True), + feat_channels=(128, 128), + primitive_refine_channels=[128, 128, 128], + upper_thresh=100.0, + surface_thresh=0.5, + line_thresh=0.5, + conv_cfg=dict(type='Conv1d'), + norm_cfg=dict(type='BN1d'), + objectness_loss=dict( + type='CrossEntropyLoss', + class_weight=[0.2, 0.8], + reduction='sum', + loss_weight=5.0), + center_loss=dict( + type='ChamferDistance', + mode='l2', + reduction='sum', + loss_src_weight=10.0, + loss_dst_weight=10.0), + dir_class_loss=dict( + type='CrossEntropyLoss', reduction='sum', loss_weight=0.1), + dir_res_loss=dict( + type='SmoothL1Loss', reduction='sum', loss_weight=10.0), + size_class_loss=dict( + type='CrossEntropyLoss', reduction='sum', loss_weight=0.1), + size_res_loss=dict( + type='SmoothL1Loss', reduction='sum', loss_weight=10.0), + semantic_loss=dict( + type='CrossEntropyLoss', reduction='sum', loss_weight=0.1), + cues_objectness_loss=dict( + type='CrossEntropyLoss', + class_weight=[0.3, 0.7], + reduction='mean', + loss_weight=5.0), + cues_semantic_loss=dict( + type='CrossEntropyLoss', + class_weight=[0.3, 0.7], + reduction='mean', + loss_weight=5.0), + proposal_objectness_loss=dict( + type='CrossEntropyLoss', + class_weight=[0.2, 0.8], + reduction='none', + loss_weight=5.0), + primitive_center_loss=dict( + type='MSELoss', reduction='none', loss_weight=1.0))), + # model training and testing settings + train_cfg=dict( + rpn=dict( + pos_distance_thr=0.3, neg_distance_thr=0.6, sample_mod='vote'), + rpn_proposal=dict(use_nms=False), + rcnn=dict( + pos_distance_thr=0.3, + neg_distance_thr=0.6, + sample_mod='vote', + far_threshold=0.6, + near_threshold=0.3, + mask_surface_threshold=0.3, + label_surface_threshold=0.3, + mask_line_threshold=0.3, + label_line_threshold=0.3)), + test_cfg=dict( + rpn=dict( + sample_mod='seed', + nms_thr=0.25, + score_thr=0.05, + per_class_proposal=True, + use_nms=False), + rcnn=dict( + sample_mod='seed', + nms_thr=0.25, + score_thr=0.05, + per_class_proposal=True))) diff --git a/projects/configs/_base_/models/hv_pointpillars_fpn_lyft.py b/projects/configs/_base_/models/hv_pointpillars_fpn_lyft.py new file mode 100644 index 0000000..87c7fe0 --- /dev/null +++ b/projects/configs/_base_/models/hv_pointpillars_fpn_lyft.py @@ -0,0 +1,22 @@ +_base_ = './hv_pointpillars_fpn_nus.py' + +# model settings (based on nuScenes model settings) +# Voxel size for voxel encoder +# Usually voxel size is changed consistently with the point cloud range +# If point cloud range is modified, do remember to change all related +# keys in the config. +model = dict( + pts_voxel_layer=dict( + max_num_points=20, + point_cloud_range=[-80, -80, -5, 80, 80, 3], + max_voxels=(60000, 60000)), + pts_voxel_encoder=dict( + feat_channels=[64], point_cloud_range=[-80, -80, -5, 80, 80, 3]), + pts_middle_encoder=dict(output_shape=[640, 640]), + pts_bbox_head=dict( + num_classes=9, + anchor_generator=dict( + ranges=[[-80, -80, -1.8, 80, 80, -1.8]], custom_values=[]), + bbox_coder=dict(type='DeltaXYZWLHRBBoxCoder', code_size=7)), + # model training settings (based on nuScenes model settings) + train_cfg=dict(pts=dict(code_weight=[1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]))) diff --git a/projects/configs/_base_/models/hv_pointpillars_fpn_nus.py b/projects/configs/_base_/models/hv_pointpillars_fpn_nus.py new file mode 100644 index 0000000..e153f6c --- /dev/null +++ b/projects/configs/_base_/models/hv_pointpillars_fpn_nus.py @@ -0,0 +1,96 @@ +# model settings +# Voxel size for voxel encoder +# Usually voxel size is changed consistently with the point cloud range +# If point cloud range is modified, do remember to change all related +# keys in the config. +voxel_size = [0.25, 0.25, 8] +model = dict( + type='MVXFasterRCNN', + pts_voxel_layer=dict( + max_num_points=64, + point_cloud_range=[-50, -50, -5, 50, 50, 3], + voxel_size=voxel_size, + max_voxels=(30000, 40000)), + pts_voxel_encoder=dict( + type='HardVFE', + in_channels=4, + feat_channels=[64, 64], + with_distance=False, + voxel_size=voxel_size, + with_cluster_center=True, + with_voxel_center=True, + point_cloud_range=[-50, -50, -5, 50, 50, 3], + norm_cfg=dict(type='naiveSyncBN1d', eps=1e-3, momentum=0.01)), + pts_middle_encoder=dict( + type='PointPillarsScatter', in_channels=64, output_shape=[400, 400]), + pts_backbone=dict( + type='SECOND', + in_channels=64, + norm_cfg=dict(type='naiveSyncBN2d', eps=1e-3, momentum=0.01), + layer_nums=[3, 5, 5], + layer_strides=[2, 2, 2], + out_channels=[64, 128, 256]), + pts_neck=dict( + type='FPN', + norm_cfg=dict(type='naiveSyncBN2d', eps=1e-3, momentum=0.01), + act_cfg=dict(type='ReLU'), + in_channels=[64, 128, 256], + out_channels=256, + start_level=0, + num_outs=3), + pts_bbox_head=dict( + type='Anchor3DHead', + num_classes=10, + in_channels=256, + feat_channels=256, + use_direction_classifier=True, + anchor_generator=dict( + type='AlignedAnchor3DRangeGenerator', + ranges=[[-50, -50, -1.8, 50, 50, -1.8]], + scales=[1, 2, 4], + sizes=[ + [0.8660, 2.5981, 1.], # 1.5/sqrt(3) + [0.5774, 1.7321, 1.], # 1/sqrt(3) + [1., 1., 1.], + [0.4, 0.4, 1], + ], + custom_values=[0, 0], + rotations=[0, 1.57], + reshape_out=True), + assigner_per_size=False, + diff_rad_by_sin=True, + dir_offset=0.7854, # pi/4 + dir_limit_offset=0, + bbox_coder=dict(type='DeltaXYZWLHRBBoxCoder', code_size=9), + loss_cls=dict( + type='FocalLoss', + use_sigmoid=True, + gamma=2.0, + alpha=0.25, + loss_weight=1.0), + loss_bbox=dict(type='SmoothL1Loss', beta=1.0 / 9.0, loss_weight=1.0), + loss_dir=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=0.2)), + # model training and testing settings + train_cfg=dict( + pts=dict( + assigner=dict( + type='MaxIoUAssigner', + iou_calculator=dict(type='BboxOverlapsNearest3D'), + pos_iou_thr=0.6, + neg_iou_thr=0.3, + min_pos_iou=0.3, + ignore_iof_thr=-1), + allowed_border=0, + code_weight=[1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.2, 0.2], + pos_weight=-1, + debug=False)), + test_cfg=dict( + pts=dict( + use_rotate_nms=True, + nms_across_levels=False, + nms_pre=1000, + nms_thr=0.2, + score_thr=0.05, + min_bbox_size=0, + max_num=500))) diff --git a/projects/configs/_base_/models/hv_pointpillars_fpn_range100_lyft.py b/projects/configs/_base_/models/hv_pointpillars_fpn_range100_lyft.py new file mode 100644 index 0000000..9cd200f --- /dev/null +++ b/projects/configs/_base_/models/hv_pointpillars_fpn_range100_lyft.py @@ -0,0 +1,22 @@ +_base_ = './hv_pointpillars_fpn_nus.py' + +# model settings (based on nuScenes model settings) +# Voxel size for voxel encoder +# Usually voxel size is changed consistently with the point cloud range +# If point cloud range is modified, do remember to change all related +# keys in the config. +model = dict( + pts_voxel_layer=dict( + max_num_points=20, + point_cloud_range=[-100, -100, -5, 100, 100, 3], + max_voxels=(60000, 60000)), + pts_voxel_encoder=dict( + feat_channels=[64], point_cloud_range=[-100, -100, -5, 100, 100, 3]), + pts_middle_encoder=dict(output_shape=[800, 800]), + pts_bbox_head=dict( + num_classes=9, + anchor_generator=dict( + ranges=[[-100, -100, -1.8, 100, 100, -1.8]], custom_values=[]), + bbox_coder=dict(type='DeltaXYZWLHRBBoxCoder', code_size=7)), + # model training settings (based on nuScenes model settings) + train_cfg=dict(pts=dict(code_weight=[1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]))) diff --git a/projects/configs/_base_/models/hv_pointpillars_secfpn_kitti.py b/projects/configs/_base_/models/hv_pointpillars_secfpn_kitti.py new file mode 100644 index 0000000..85076d0 --- /dev/null +++ b/projects/configs/_base_/models/hv_pointpillars_secfpn_kitti.py @@ -0,0 +1,93 @@ +voxel_size = [0.16, 0.16, 4] + +model = dict( + type='VoxelNet', + voxel_layer=dict( + max_num_points=32, # max_points_per_voxel + point_cloud_range=[0, -39.68, -3, 69.12, 39.68, 1], + voxel_size=voxel_size, + max_voxels=(16000, 40000) # (training, testing) max_voxels + ), + voxel_encoder=dict( + type='PillarFeatureNet', + in_channels=4, + feat_channels=[64], + with_distance=False, + voxel_size=voxel_size, + point_cloud_range=[0, -39.68, -3, 69.12, 39.68, 1]), + middle_encoder=dict( + type='PointPillarsScatter', in_channels=64, output_shape=[496, 432]), + backbone=dict( + type='SECOND', + in_channels=64, + layer_nums=[3, 5, 5], + layer_strides=[2, 2, 2], + out_channels=[64, 128, 256]), + neck=dict( + type='SECONDFPN', + in_channels=[64, 128, 256], + upsample_strides=[1, 2, 4], + out_channels=[128, 128, 128]), + bbox_head=dict( + type='Anchor3DHead', + num_classes=3, + in_channels=384, + feat_channels=384, + use_direction_classifier=True, + anchor_generator=dict( + type='Anchor3DRangeGenerator', + ranges=[ + [0, -39.68, -0.6, 70.4, 39.68, -0.6], + [0, -39.68, -0.6, 70.4, 39.68, -0.6], + [0, -39.68, -1.78, 70.4, 39.68, -1.78], + ], + sizes=[[0.6, 0.8, 1.73], [0.6, 1.76, 1.73], [1.6, 3.9, 1.56]], + rotations=[0, 1.57], + reshape_out=False), + diff_rad_by_sin=True, + bbox_coder=dict(type='DeltaXYZWLHRBBoxCoder'), + loss_cls=dict( + type='FocalLoss', + use_sigmoid=True, + gamma=2.0, + alpha=0.25, + loss_weight=1.0), + loss_bbox=dict(type='SmoothL1Loss', beta=1.0 / 9.0, loss_weight=2.0), + loss_dir=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=0.2)), + # model training and testing settings + train_cfg=dict( + assigner=[ + dict( # for Pedestrian + type='MaxIoUAssigner', + iou_calculator=dict(type='BboxOverlapsNearest3D'), + pos_iou_thr=0.5, + neg_iou_thr=0.35, + min_pos_iou=0.35, + ignore_iof_thr=-1), + dict( # for Cyclist + type='MaxIoUAssigner', + iou_calculator=dict(type='BboxOverlapsNearest3D'), + pos_iou_thr=0.5, + neg_iou_thr=0.35, + min_pos_iou=0.35, + ignore_iof_thr=-1), + dict( # for Car + type='MaxIoUAssigner', + iou_calculator=dict(type='BboxOverlapsNearest3D'), + pos_iou_thr=0.6, + neg_iou_thr=0.45, + min_pos_iou=0.45, + ignore_iof_thr=-1), + ], + allowed_border=0, + pos_weight=-1, + debug=False), + test_cfg=dict( + use_rotate_nms=True, + nms_across_levels=False, + nms_thr=0.01, + score_thr=0.1, + min_bbox_size=0, + nms_pre=100, + max_num=50)) diff --git a/projects/configs/_base_/models/hv_pointpillars_secfpn_waymo.py b/projects/configs/_base_/models/hv_pointpillars_secfpn_waymo.py new file mode 100644 index 0000000..14873ea --- /dev/null +++ b/projects/configs/_base_/models/hv_pointpillars_secfpn_waymo.py @@ -0,0 +1,108 @@ +# model settings +# Voxel size for voxel encoder +# Usually voxel size is changed consistently with the point cloud range +# If point cloud range is modified, do remember to change all related +# keys in the config. +voxel_size = [0.32, 0.32, 6] +model = dict( + type='MVXFasterRCNN', + pts_voxel_layer=dict( + max_num_points=20, + point_cloud_range=[-74.88, -74.88, -2, 74.88, 74.88, 4], + voxel_size=voxel_size, + max_voxels=(32000, 32000)), + pts_voxel_encoder=dict( + type='HardVFE', + in_channels=5, + feat_channels=[64], + with_distance=False, + voxel_size=voxel_size, + with_cluster_center=True, + with_voxel_center=True, + point_cloud_range=[-74.88, -74.88, -2, 74.88, 74.88, 4], + norm_cfg=dict(type='naiveSyncBN1d', eps=1e-3, momentum=0.01)), + pts_middle_encoder=dict( + type='PointPillarsScatter', in_channels=64, output_shape=[468, 468]), + pts_backbone=dict( + type='SECOND', + in_channels=64, + norm_cfg=dict(type='naiveSyncBN2d', eps=1e-3, momentum=0.01), + layer_nums=[3, 5, 5], + layer_strides=[1, 2, 2], + out_channels=[64, 128, 256]), + pts_neck=dict( + type='SECONDFPN', + norm_cfg=dict(type='naiveSyncBN2d', eps=1e-3, momentum=0.01), + in_channels=[64, 128, 256], + upsample_strides=[1, 2, 4], + out_channels=[128, 128, 128]), + pts_bbox_head=dict( + type='Anchor3DHead', + num_classes=3, + in_channels=384, + feat_channels=384, + use_direction_classifier=True, + anchor_generator=dict( + type='AlignedAnchor3DRangeGenerator', + ranges=[[-74.88, -74.88, -0.0345, 74.88, 74.88, -0.0345], + [-74.88, -74.88, -0.1188, 74.88, 74.88, -0.1188], + [-74.88, -74.88, 0, 74.88, 74.88, 0]], + sizes=[ + [2.08, 4.73, 1.77], # car + [0.84, 1.81, 1.77], # cyclist + [0.84, 0.91, 1.74] # pedestrian + ], + rotations=[0, 1.57], + reshape_out=False), + diff_rad_by_sin=True, + dir_offset=0.7854, # pi/4 + dir_limit_offset=0, + bbox_coder=dict(type='DeltaXYZWLHRBBoxCoder', code_size=7), + loss_cls=dict( + type='FocalLoss', + use_sigmoid=True, + gamma=2.0, + alpha=0.25, + loss_weight=1.0), + loss_bbox=dict(type='SmoothL1Loss', beta=1.0 / 9.0, loss_weight=1.0), + loss_dir=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=0.2)), + # model training and testing settings + train_cfg=dict( + pts=dict( + assigner=[ + dict( # car + type='MaxIoUAssigner', + iou_calculator=dict(type='BboxOverlapsNearest3D'), + pos_iou_thr=0.55, + neg_iou_thr=0.4, + min_pos_iou=0.4, + ignore_iof_thr=-1), + dict( # cyclist + type='MaxIoUAssigner', + iou_calculator=dict(type='BboxOverlapsNearest3D'), + pos_iou_thr=0.5, + neg_iou_thr=0.3, + min_pos_iou=0.3, + ignore_iof_thr=-1), + dict( # pedestrian + type='MaxIoUAssigner', + iou_calculator=dict(type='BboxOverlapsNearest3D'), + pos_iou_thr=0.5, + neg_iou_thr=0.3, + min_pos_iou=0.3, + ignore_iof_thr=-1), + ], + allowed_border=0, + code_weight=[1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], + pos_weight=-1, + debug=False)), + test_cfg=dict( + pts=dict( + use_rotate_nms=True, + nms_across_levels=False, + nms_pre=4096, + nms_thr=0.25, + score_thr=0.1, + min_bbox_size=0, + max_num=500))) diff --git a/projects/configs/_base_/models/hv_second_secfpn_kitti.py b/projects/configs/_base_/models/hv_second_secfpn_kitti.py new file mode 100644 index 0000000..6bf18ab --- /dev/null +++ b/projects/configs/_base_/models/hv_second_secfpn_kitti.py @@ -0,0 +1,89 @@ +voxel_size = [0.05, 0.05, 0.1] + +model = dict( + type='VoxelNet', + voxel_layer=dict( + max_num_points=5, + point_cloud_range=[0, -40, -3, 70.4, 40, 1], + voxel_size=voxel_size, + max_voxels=(16000, 40000)), + voxel_encoder=dict(type='HardSimpleVFE'), + middle_encoder=dict( + type='SparseEncoder', + in_channels=4, + sparse_shape=[41, 1600, 1408], + order=('conv', 'norm', 'act')), + backbone=dict( + type='SECOND', + in_channels=256, + layer_nums=[5, 5], + layer_strides=[1, 2], + out_channels=[128, 256]), + neck=dict( + type='SECONDFPN', + in_channels=[128, 256], + upsample_strides=[1, 2], + out_channels=[256, 256]), + bbox_head=dict( + type='Anchor3DHead', + num_classes=3, + in_channels=512, + feat_channels=512, + use_direction_classifier=True, + anchor_generator=dict( + type='Anchor3DRangeGenerator', + ranges=[ + [0, -40.0, -0.6, 70.4, 40.0, -0.6], + [0, -40.0, -0.6, 70.4, 40.0, -0.6], + [0, -40.0, -1.78, 70.4, 40.0, -1.78], + ], + sizes=[[0.6, 0.8, 1.73], [0.6, 1.76, 1.73], [1.6, 3.9, 1.56]], + rotations=[0, 1.57], + reshape_out=False), + diff_rad_by_sin=True, + bbox_coder=dict(type='DeltaXYZWLHRBBoxCoder'), + loss_cls=dict( + type='FocalLoss', + use_sigmoid=True, + gamma=2.0, + alpha=0.25, + loss_weight=1.0), + loss_bbox=dict(type='SmoothL1Loss', beta=1.0 / 9.0, loss_weight=2.0), + loss_dir=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=0.2)), + # model training and testing settings + train_cfg=dict( + assigner=[ + dict( # for Pedestrian + type='MaxIoUAssigner', + iou_calculator=dict(type='BboxOverlapsNearest3D'), + pos_iou_thr=0.35, + neg_iou_thr=0.2, + min_pos_iou=0.2, + ignore_iof_thr=-1), + dict( # for Cyclist + type='MaxIoUAssigner', + iou_calculator=dict(type='BboxOverlapsNearest3D'), + pos_iou_thr=0.35, + neg_iou_thr=0.2, + min_pos_iou=0.2, + ignore_iof_thr=-1), + dict( # for Car + type='MaxIoUAssigner', + iou_calculator=dict(type='BboxOverlapsNearest3D'), + pos_iou_thr=0.6, + neg_iou_thr=0.45, + min_pos_iou=0.45, + ignore_iof_thr=-1), + ], + allowed_border=0, + pos_weight=-1, + debug=False), + test_cfg=dict( + use_rotate_nms=True, + nms_across_levels=False, + nms_thr=0.01, + score_thr=0.1, + min_bbox_size=0, + nms_pre=100, + max_num=50)) diff --git a/projects/configs/_base_/models/hv_second_secfpn_waymo.py b/projects/configs/_base_/models/hv_second_secfpn_waymo.py new file mode 100644 index 0000000..eb9bd3a --- /dev/null +++ b/projects/configs/_base_/models/hv_second_secfpn_waymo.py @@ -0,0 +1,100 @@ +# model settings +# Voxel size for voxel encoder +# Usually voxel size is changed consistently with the point cloud range +# If point cloud range is modified, do remember to change all related +# keys in the config. +voxel_size = [0.08, 0.08, 0.1] +model = dict( + type='VoxelNet', + voxel_layer=dict( + max_num_points=10, + point_cloud_range=[-76.8, -51.2, -2, 76.8, 51.2, 4], + voxel_size=voxel_size, + max_voxels=(80000, 90000)), + voxel_encoder=dict(type='HardSimpleVFE', num_features=5), + middle_encoder=dict( + type='SparseEncoder', + in_channels=5, + sparse_shape=[61, 1280, 1920], + order=('conv', 'norm', 'act')), + backbone=dict( + type='SECOND', + in_channels=384, + norm_cfg=dict(type='naiveSyncBN2d', eps=1e-3, momentum=0.01), + layer_nums=[5, 5], + layer_strides=[1, 2], + out_channels=[128, 256]), + neck=dict( + type='SECONDFPN', + norm_cfg=dict(type='naiveSyncBN2d', eps=1e-3, momentum=0.01), + in_channels=[128, 256], + upsample_strides=[1, 2], + out_channels=[256, 256]), + bbox_head=dict( + type='Anchor3DHead', + num_classes=3, + in_channels=512, + feat_channels=512, + use_direction_classifier=True, + anchor_generator=dict( + type='AlignedAnchor3DRangeGenerator', + ranges=[[-76.8, -51.2, -0.0345, 76.8, 51.2, -0.0345], + [-76.8, -51.2, 0, 76.8, 51.2, 0], + [-76.8, -51.2, -0.1188, 76.8, 51.2, -0.1188]], + sizes=[ + [2.08, 4.73, 1.77], # car + [0.84, 0.91, 1.74], # pedestrian + [0.84, 1.81, 1.77] # cyclist + ], + rotations=[0, 1.57], + reshape_out=False), + diff_rad_by_sin=True, + dir_offset=0.7854, # pi/4 + dir_limit_offset=0, + bbox_coder=dict(type='DeltaXYZWLHRBBoxCoder', code_size=7), + loss_cls=dict( + type='FocalLoss', + use_sigmoid=True, + gamma=2.0, + alpha=0.25, + loss_weight=1.0), + loss_bbox=dict(type='SmoothL1Loss', beta=1.0 / 9.0, loss_weight=1.0), + loss_dir=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=0.2)), + # model training and testing settings + train_cfg=dict( + assigner=[ + dict( # car + type='MaxIoUAssigner', + iou_calculator=dict(type='BboxOverlapsNearest3D'), + pos_iou_thr=0.55, + neg_iou_thr=0.4, + min_pos_iou=0.4, + ignore_iof_thr=-1), + dict( # pedestrian + type='MaxIoUAssigner', + iou_calculator=dict(type='BboxOverlapsNearest3D'), + pos_iou_thr=0.5, + neg_iou_thr=0.3, + min_pos_iou=0.3, + ignore_iof_thr=-1), + dict( # cyclist + type='MaxIoUAssigner', + iou_calculator=dict(type='BboxOverlapsNearest3D'), + pos_iou_thr=0.5, + neg_iou_thr=0.3, + min_pos_iou=0.3, + ignore_iof_thr=-1) + ], + allowed_border=0, + code_weight=[1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], + pos_weight=-1, + debug=False), + test_cfg=dict( + use_rotate_nms=True, + nms_across_levels=False, + nms_pre=4096, + nms_thr=0.25, + score_thr=0.1, + min_bbox_size=0, + max_num=500)) diff --git a/projects/configs/_base_/models/imvotenet_image.py b/projects/configs/_base_/models/imvotenet_image.py new file mode 100644 index 0000000..981f8bc --- /dev/null +++ b/projects/configs/_base_/models/imvotenet_image.py @@ -0,0 +1,108 @@ +model = dict( + type='ImVoteNet', + img_backbone=dict( + type='ResNet', + depth=50, + num_stages=4, + out_indices=(0, 1, 2, 3), + frozen_stages=1, + norm_cfg=dict(type='BN', requires_grad=False), + norm_eval=True, + style='caffe'), + img_neck=dict( + type='FPN', + in_channels=[256, 512, 1024, 2048], + out_channels=256, + num_outs=5), + img_rpn_head=dict( + type='RPNHead', + in_channels=256, + feat_channels=256, + anchor_generator=dict( + type='AnchorGenerator', + scales=[8], + ratios=[0.5, 1.0, 2.0], + strides=[4, 8, 16, 32, 64]), + bbox_coder=dict( + type='DeltaXYWHBBoxCoder', + target_means=[.0, .0, .0, .0], + target_stds=[1.0, 1.0, 1.0, 1.0]), + loss_cls=dict( + type='CrossEntropyLoss', use_sigmoid=True, loss_weight=1.0), + loss_bbox=dict(type='L1Loss', loss_weight=1.0)), + img_roi_head=dict( + type='StandardRoIHead', + bbox_roi_extractor=dict( + type='SingleRoIExtractor', + roi_layer=dict(type='RoIAlign', output_size=7, sampling_ratio=0), + out_channels=256, + featmap_strides=[4, 8, 16, 32]), + bbox_head=dict( + type='Shared2FCBBoxHead', + in_channels=256, + fc_out_channels=1024, + roi_feat_size=7, + num_classes=10, + bbox_coder=dict( + type='DeltaXYWHBBoxCoder', + target_means=[0., 0., 0., 0.], + target_stds=[0.1, 0.1, 0.2, 0.2]), + reg_class_agnostic=False, + loss_cls=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0), + loss_bbox=dict(type='L1Loss', loss_weight=1.0))), + + # model training and testing settings + train_cfg=dict( + img_rpn=dict( + assigner=dict( + type='MaxIoUAssigner', + pos_iou_thr=0.7, + neg_iou_thr=0.3, + min_pos_iou=0.3, + match_low_quality=True, + ignore_iof_thr=-1), + sampler=dict( + type='RandomSampler', + num=256, + pos_fraction=0.5, + neg_pos_ub=-1, + add_gt_as_proposals=False), + allowed_border=-1, + pos_weight=-1, + debug=False), + img_rpn_proposal=dict( + nms_across_levels=False, + nms_pre=2000, + nms_post=1000, + max_per_img=1000, + nms=dict(type='nms', iou_threshold=0.7), + min_bbox_size=0), + img_rcnn=dict( + assigner=dict( + type='MaxIoUAssigner', + pos_iou_thr=0.5, + neg_iou_thr=0.5, + min_pos_iou=0.5, + match_low_quality=False, + ignore_iof_thr=-1), + sampler=dict( + type='RandomSampler', + num=512, + pos_fraction=0.25, + neg_pos_ub=-1, + add_gt_as_proposals=True), + pos_weight=-1, + debug=False)), + test_cfg=dict( + img_rpn=dict( + nms_across_levels=False, + nms_pre=1000, + nms_post=1000, + max_per_img=1000, + nms=dict(type='nms', iou_threshold=0.7), + min_bbox_size=0), + img_rcnn=dict( + score_thr=0.05, + nms=dict(type='nms', iou_threshold=0.5), + max_per_img=100))) diff --git a/projects/configs/_base_/models/mask_rcnn_r50_fpn.py b/projects/configs/_base_/models/mask_rcnn_r50_fpn.py new file mode 100644 index 0000000..c5d5e32 --- /dev/null +++ b/projects/configs/_base_/models/mask_rcnn_r50_fpn.py @@ -0,0 +1,124 @@ +# model settings +model = dict( + type='MaskRCNN', + pretrained='torchvision://resnet50', + backbone=dict( + type='ResNet', + depth=50, + num_stages=4, + out_indices=(0, 1, 2, 3), + frozen_stages=1, + norm_cfg=dict(type='BN', requires_grad=True), + norm_eval=True, + style='pytorch'), + neck=dict( + type='FPN', + in_channels=[256, 512, 1024, 2048], + out_channels=256, + num_outs=5), + rpn_head=dict( + type='RPNHead', + in_channels=256, + feat_channels=256, + anchor_generator=dict( + type='AnchorGenerator', + scales=[8], + ratios=[0.5, 1.0, 2.0], + strides=[4, 8, 16, 32, 64]), + bbox_coder=dict( + type='DeltaXYWHBBoxCoder', + target_means=[.0, .0, .0, .0], + target_stds=[1.0, 1.0, 1.0, 1.0]), + loss_cls=dict( + type='CrossEntropyLoss', use_sigmoid=True, loss_weight=1.0), + loss_bbox=dict(type='L1Loss', loss_weight=1.0)), + roi_head=dict( + type='StandardRoIHead', + bbox_roi_extractor=dict( + type='SingleRoIExtractor', + roi_layer=dict(type='RoIAlign', output_size=7, sampling_ratio=0), + out_channels=256, + featmap_strides=[4, 8, 16, 32]), + bbox_head=dict( + type='Shared2FCBBoxHead', + in_channels=256, + fc_out_channels=1024, + roi_feat_size=7, + num_classes=80, + bbox_coder=dict( + type='DeltaXYWHBBoxCoder', + target_means=[0., 0., 0., 0.], + target_stds=[0.1, 0.1, 0.2, 0.2]), + reg_class_agnostic=False, + loss_cls=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0), + loss_bbox=dict(type='L1Loss', loss_weight=1.0)), + mask_roi_extractor=dict( + type='SingleRoIExtractor', + roi_layer=dict(type='RoIAlign', output_size=14, sampling_ratio=0), + out_channels=256, + featmap_strides=[4, 8, 16, 32]), + mask_head=dict( + type='FCNMaskHead', + num_convs=4, + in_channels=256, + conv_out_channels=256, + num_classes=80, + loss_mask=dict( + type='CrossEntropyLoss', use_mask=True, loss_weight=1.0))), + # model training and testing settings + train_cfg=dict( + rpn=dict( + assigner=dict( + type='MaxIoUAssigner', + pos_iou_thr=0.7, + neg_iou_thr=0.3, + min_pos_iou=0.3, + match_low_quality=True, + ignore_iof_thr=-1), + sampler=dict( + type='RandomSampler', + num=256, + pos_fraction=0.5, + neg_pos_ub=-1, + add_gt_as_proposals=False), + allowed_border=-1, + pos_weight=-1, + debug=False), + rpn_proposal=dict( + nms_across_levels=False, + nms_pre=2000, + nms_post=1000, + max_num=1000, + nms_thr=0.7, + min_bbox_size=0), + rcnn=dict( + assigner=dict( + type='MaxIoUAssigner', + pos_iou_thr=0.5, + neg_iou_thr=0.5, + min_pos_iou=0.5, + match_low_quality=True, + ignore_iof_thr=-1), + sampler=dict( + type='RandomSampler', + num=512, + pos_fraction=0.25, + neg_pos_ub=-1, + add_gt_as_proposals=True), + mask_size=28, + pos_weight=-1, + debug=False)), + test_cfg=dict( + rpn=dict( + nms_across_levels=False, + nms_pre=1000, + nms_post=1000, + max_num=1000, + nms_thr=0.7, + min_bbox_size=0), + rcnn=dict( + score_thr=0.05, + nms=dict(type='nms', iou_threshold=0.5), + max_per_img=100, + mask_thr_binary=0.5))) diff --git a/projects/configs/_base_/models/paconv_cuda_ssg.py b/projects/configs/_base_/models/paconv_cuda_ssg.py new file mode 100644 index 0000000..f513bd4 --- /dev/null +++ b/projects/configs/_base_/models/paconv_cuda_ssg.py @@ -0,0 +1,7 @@ +_base_ = './paconv_ssg.py' + +model = dict( + backbone=dict( + sa_cfg=dict( + type='PAConvCUDASAModule', + scorenet_cfg=dict(mlp_channels=[8, 16, 16])))) diff --git a/projects/configs/_base_/models/paconv_ssg.py b/projects/configs/_base_/models/paconv_ssg.py new file mode 100644 index 0000000..1d4f1ed --- /dev/null +++ b/projects/configs/_base_/models/paconv_ssg.py @@ -0,0 +1,49 @@ +# model settings +model = dict( + type='EncoderDecoder3D', + backbone=dict( + type='PointNet2SASSG', + in_channels=9, # [xyz, rgb, normalized_xyz] + num_points=(1024, 256, 64, 16), + radius=(None, None, None, None), # use kNN instead of ball query + num_samples=(32, 32, 32, 32), + sa_channels=((32, 32, 64), (64, 64, 128), (128, 128, 256), (256, 256, + 512)), + fp_channels=(), + norm_cfg=dict(type='BN2d', momentum=0.1), + sa_cfg=dict( + type='PAConvSAModule', + pool_mod='max', + use_xyz=True, + normalize_xyz=False, + paconv_num_kernels=[16, 16, 16], + paconv_kernel_input='w_neighbor', + scorenet_input='w_neighbor_dist', + scorenet_cfg=dict( + mlp_channels=[16, 16, 16], + score_norm='softmax', + temp_factor=1.0, + last_bn=False))), + decode_head=dict( + type='PAConvHead', + # PAConv model's decoder takes skip connections from beckbone + # different from PointNet++, it also concats input features in the last + # level of decoder, leading to `128 + 6` as the channel number + fp_channels=((768, 256, 256), (384, 256, 256), (320, 256, 128), + (128 + 6, 128, 128, 128)), + channels=128, + dropout_ratio=0.5, + conv_cfg=dict(type='Conv1d'), + norm_cfg=dict(type='BN1d'), + act_cfg=dict(type='ReLU'), + loss_decode=dict( + type='CrossEntropyLoss', + use_sigmoid=False, + class_weight=None, # should be modified with dataset + loss_weight=1.0)), + # correlation loss to regularize PAConv's kernel weights + loss_regularization=dict( + type='PAConvRegularizationLoss', reduction='sum', loss_weight=10.0), + # model training and testing settings + train_cfg=dict(), + test_cfg=dict(mode='slide')) diff --git a/projects/configs/_base_/models/parta2.py b/projects/configs/_base_/models/parta2.py new file mode 100644 index 0000000..6c5ae9a --- /dev/null +++ b/projects/configs/_base_/models/parta2.py @@ -0,0 +1,201 @@ +# model settings +voxel_size = [0.05, 0.05, 0.1] +point_cloud_range = [0, -40, -3, 70.4, 40, 1] + +model = dict( + type='PartA2', + voxel_layer=dict( + max_num_points=5, # max_points_per_voxel + point_cloud_range=point_cloud_range, + voxel_size=voxel_size, + max_voxels=(16000, 40000) # (training, testing) max_voxels + ), + voxel_encoder=dict(type='HardSimpleVFE'), + middle_encoder=dict( + type='SparseUNet', + in_channels=4, + sparse_shape=[41, 1600, 1408], + order=('conv', 'norm', 'act')), + backbone=dict( + type='SECOND', + in_channels=256, + layer_nums=[5, 5], + layer_strides=[1, 2], + out_channels=[128, 256]), + neck=dict( + type='SECONDFPN', + in_channels=[128, 256], + upsample_strides=[1, 2], + out_channels=[256, 256]), + rpn_head=dict( + type='PartA2RPNHead', + num_classes=3, + in_channels=512, + feat_channels=512, + use_direction_classifier=True, + anchor_generator=dict( + type='Anchor3DRangeGenerator', + ranges=[[0, -40.0, -0.6, 70.4, 40.0, -0.6], + [0, -40.0, -0.6, 70.4, 40.0, -0.6], + [0, -40.0, -1.78, 70.4, 40.0, -1.78]], + sizes=[[0.6, 0.8, 1.73], [0.6, 1.76, 1.73], [1.6, 3.9, 1.56]], + rotations=[0, 1.57], + reshape_out=False), + diff_rad_by_sin=True, + assigner_per_size=True, + assign_per_class=True, + bbox_coder=dict(type='DeltaXYZWLHRBBoxCoder'), + loss_cls=dict( + type='FocalLoss', + use_sigmoid=True, + gamma=2.0, + alpha=0.25, + loss_weight=1.0), + loss_bbox=dict(type='SmoothL1Loss', beta=1.0 / 9.0, loss_weight=2.0), + loss_dir=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=0.2)), + roi_head=dict( + type='PartAggregationROIHead', + num_classes=3, + semantic_head=dict( + type='PointwiseSemanticHead', + in_channels=16, + extra_width=0.2, + seg_score_thr=0.3, + num_classes=3, + loss_seg=dict( + type='FocalLoss', + use_sigmoid=True, + reduction='sum', + gamma=2.0, + alpha=0.25, + loss_weight=1.0), + loss_part=dict( + type='CrossEntropyLoss', use_sigmoid=True, loss_weight=1.0)), + seg_roi_extractor=dict( + type='Single3DRoIAwareExtractor', + roi_layer=dict( + type='RoIAwarePool3d', + out_size=14, + max_pts_per_voxel=128, + mode='max')), + part_roi_extractor=dict( + type='Single3DRoIAwareExtractor', + roi_layer=dict( + type='RoIAwarePool3d', + out_size=14, + max_pts_per_voxel=128, + mode='avg')), + bbox_head=dict( + type='PartA2BboxHead', + num_classes=3, + seg_in_channels=16, + part_in_channels=4, + seg_conv_channels=[64, 64], + part_conv_channels=[64, 64], + merge_conv_channels=[128, 128], + down_conv_channels=[128, 256], + bbox_coder=dict(type='DeltaXYZWLHRBBoxCoder'), + shared_fc_channels=[256, 512, 512, 512], + cls_channels=[256, 256], + reg_channels=[256, 256], + dropout_ratio=0.1, + roi_feat_size=14, + with_corner_loss=True, + loss_bbox=dict( + type='SmoothL1Loss', + beta=1.0 / 9.0, + reduction='sum', + loss_weight=1.0), + loss_cls=dict( + type='CrossEntropyLoss', + use_sigmoid=True, + reduction='sum', + loss_weight=1.0))), + # model training and testing settings + train_cfg=dict( + rpn=dict( + assigner=[ + dict( # for Pedestrian + type='MaxIoUAssigner', + iou_calculator=dict(type='BboxOverlapsNearest3D'), + pos_iou_thr=0.5, + neg_iou_thr=0.35, + min_pos_iou=0.35, + ignore_iof_thr=-1), + dict( # for Cyclist + type='MaxIoUAssigner', + iou_calculator=dict(type='BboxOverlapsNearest3D'), + pos_iou_thr=0.5, + neg_iou_thr=0.35, + min_pos_iou=0.35, + ignore_iof_thr=-1), + dict( # for Car + type='MaxIoUAssigner', + iou_calculator=dict(type='BboxOverlapsNearest3D'), + pos_iou_thr=0.6, + neg_iou_thr=0.45, + min_pos_iou=0.45, + ignore_iof_thr=-1) + ], + allowed_border=0, + pos_weight=-1, + debug=False), + rpn_proposal=dict( + nms_pre=9000, + nms_post=512, + max_num=512, + nms_thr=0.8, + score_thr=0, + use_rotate_nms=False), + rcnn=dict( + assigner=[ + dict( # for Pedestrian + type='MaxIoUAssigner', + iou_calculator=dict( + type='BboxOverlaps3D', coordinate='lidar'), + pos_iou_thr=0.55, + neg_iou_thr=0.55, + min_pos_iou=0.55, + ignore_iof_thr=-1), + dict( # for Cyclist + type='MaxIoUAssigner', + iou_calculator=dict( + type='BboxOverlaps3D', coordinate='lidar'), + pos_iou_thr=0.55, + neg_iou_thr=0.55, + min_pos_iou=0.55, + ignore_iof_thr=-1), + dict( # for Car + type='MaxIoUAssigner', + iou_calculator=dict( + type='BboxOverlaps3D', coordinate='lidar'), + pos_iou_thr=0.55, + neg_iou_thr=0.55, + min_pos_iou=0.55, + ignore_iof_thr=-1) + ], + sampler=dict( + type='IoUNegPiecewiseSampler', + num=128, + pos_fraction=0.55, + neg_piece_fractions=[0.8, 0.2], + neg_iou_piece_thrs=[0.55, 0.1], + neg_pos_ub=-1, + add_gt_as_proposals=False, + return_iou=True), + cls_pos_thr=0.75, + cls_neg_thr=0.25)), + test_cfg=dict( + rpn=dict( + nms_pre=1024, + nms_post=100, + max_num=100, + nms_thr=0.7, + score_thr=0, + use_rotate_nms=True), + rcnn=dict( + use_rotate_nms=True, + use_raw_score=True, + nms_thr=0.01, + score_thr=0.1))) diff --git a/projects/configs/_base_/models/pointnet2_msg.py b/projects/configs/_base_/models/pointnet2_msg.py new file mode 100644 index 0000000..222ab88 --- /dev/null +++ b/projects/configs/_base_/models/pointnet2_msg.py @@ -0,0 +1,28 @@ +_base_ = './pointnet2_ssg.py' + +# model settings +model = dict( + backbone=dict( + _delete_=True, + type='PointNet2SAMSG', + in_channels=6, # [xyz, rgb], should be modified with dataset + num_points=(1024, 256, 64, 16), + radii=((0.05, 0.1), (0.1, 0.2), (0.2, 0.4), (0.4, 0.8)), + num_samples=((16, 32), (16, 32), (16, 32), (16, 32)), + sa_channels=(((16, 16, 32), (32, 32, 64)), ((64, 64, 128), (64, 96, + 128)), + ((128, 196, 256), (128, 196, 256)), ((256, 256, 512), + (256, 384, 512))), + aggregation_channels=(None, None, None, None), + fps_mods=(('D-FPS'), ('D-FPS'), ('D-FPS'), ('D-FPS')), + fps_sample_range_lists=((-1), (-1), (-1), (-1)), + dilated_group=(False, False, False, False), + out_indices=(0, 1, 2, 3), + sa_cfg=dict( + type='PointSAModuleMSG', + pool_mod='max', + use_xyz=True, + normalize_xyz=False)), + decode_head=dict( + fp_channels=((1536, 256, 256), (512, 256, 256), (352, 256, 128), + (128, 128, 128, 128)))) diff --git a/projects/configs/_base_/models/pointnet2_ssg.py b/projects/configs/_base_/models/pointnet2_ssg.py new file mode 100644 index 0000000..58b4c24 --- /dev/null +++ b/projects/configs/_base_/models/pointnet2_ssg.py @@ -0,0 +1,35 @@ +# model settings +model = dict( + type='EncoderDecoder3D', + backbone=dict( + type='PointNet2SASSG', + in_channels=6, # [xyz, rgb], should be modified with dataset + num_points=(1024, 256, 64, 16), + radius=(0.1, 0.2, 0.4, 0.8), + num_samples=(32, 32, 32, 32), + sa_channels=((32, 32, 64), (64, 64, 128), (128, 128, 256), (256, 256, + 512)), + fp_channels=(), + norm_cfg=dict(type='BN2d'), + sa_cfg=dict( + type='PointSAModule', + pool_mod='max', + use_xyz=True, + normalize_xyz=False)), + decode_head=dict( + type='PointNet2Head', + fp_channels=((768, 256, 256), (384, 256, 256), (320, 256, 128), + (128, 128, 128, 128)), + channels=128, + dropout_ratio=0.5, + conv_cfg=dict(type='Conv1d'), + norm_cfg=dict(type='BN1d'), + act_cfg=dict(type='ReLU'), + loss_decode=dict( + type='CrossEntropyLoss', + use_sigmoid=False, + class_weight=None, # should be modified with dataset + loss_weight=1.0)), + # model training and testing settings + train_cfg=dict(), + test_cfg=dict(mode='slide')) diff --git a/projects/configs/_base_/models/votenet.py b/projects/configs/_base_/models/votenet.py new file mode 100644 index 0000000..129339d --- /dev/null +++ b/projects/configs/_base_/models/votenet.py @@ -0,0 +1,73 @@ +model = dict( + type='VoteNet', + backbone=dict( + type='PointNet2SASSG', + in_channels=4, + num_points=(2048, 1024, 512, 256), + radius=(0.2, 0.4, 0.8, 1.2), + num_samples=(64, 32, 16, 16), + sa_channels=((64, 64, 128), (128, 128, 256), (128, 128, 256), + (128, 128, 256)), + fp_channels=((256, 256), (256, 256)), + norm_cfg=dict(type='BN2d'), + sa_cfg=dict( + type='PointSAModule', + pool_mod='max', + use_xyz=True, + normalize_xyz=True)), + bbox_head=dict( + type='VoteHead', + vote_module_cfg=dict( + in_channels=256, + vote_per_seed=1, + gt_per_seed=3, + conv_channels=(256, 256), + conv_cfg=dict(type='Conv1d'), + norm_cfg=dict(type='BN1d'), + norm_feats=True, + vote_loss=dict( + type='ChamferDistance', + mode='l1', + reduction='none', + loss_dst_weight=10.0)), + vote_aggregation_cfg=dict( + type='PointSAModule', + num_point=256, + radius=0.3, + num_sample=16, + mlp_channels=[256, 128, 128, 128], + use_xyz=True, + normalize_xyz=True), + pred_layer_cfg=dict( + in_channels=128, shared_conv_channels=(128, 128), bias=True), + conv_cfg=dict(type='Conv1d'), + norm_cfg=dict(type='BN1d'), + objectness_loss=dict( + type='CrossEntropyLoss', + class_weight=[0.2, 0.8], + reduction='sum', + loss_weight=5.0), + center_loss=dict( + type='ChamferDistance', + mode='l2', + reduction='sum', + loss_src_weight=10.0, + loss_dst_weight=10.0), + dir_class_loss=dict( + type='CrossEntropyLoss', reduction='sum', loss_weight=1.0), + dir_res_loss=dict( + type='SmoothL1Loss', reduction='sum', loss_weight=10.0), + size_class_loss=dict( + type='CrossEntropyLoss', reduction='sum', loss_weight=1.0), + size_res_loss=dict( + type='SmoothL1Loss', reduction='sum', loss_weight=10.0 / 3.0), + semantic_loss=dict( + type='CrossEntropyLoss', reduction='sum', loss_weight=1.0)), + # model training and testing settings + train_cfg=dict( + pos_distance_thr=0.3, neg_distance_thr=0.6, sample_mod='vote'), + test_cfg=dict( + sample_mod='seed', + nms_thr=0.25, + score_thr=0.05, + per_class_proposal=True)) diff --git a/projects/configs/_base_/schedules/cosine.py b/projects/configs/_base_/schedules/cosine.py new file mode 100644 index 0000000..69cb7df --- /dev/null +++ b/projects/configs/_base_/schedules/cosine.py @@ -0,0 +1,20 @@ +# This schedule is mainly used by models with dynamic voxelization +# optimizer +lr = 0.003 # max learning rate +optimizer = dict( + type='AdamW', + lr=lr, + betas=(0.95, 0.99), # the momentum is change during training + weight_decay=0.001) +optimizer_config = dict(grad_clip=dict(max_norm=10, norm_type=2)) + +lr_config = dict( + policy='CosineAnnealing', + warmup='linear', + warmup_iters=1000, + warmup_ratio=1.0 / 10, + min_lr_ratio=1e-5) + +momentum_config = None + +runner = dict(type='EpochBasedRunner', max_epochs=40) diff --git a/projects/configs/_base_/schedules/cyclic_20e.py b/projects/configs/_base_/schedules/cyclic_20e.py new file mode 100644 index 0000000..704740e --- /dev/null +++ b/projects/configs/_base_/schedules/cyclic_20e.py @@ -0,0 +1,24 @@ +# For nuScenes dataset, we usually evaluate the model at the end of training. +# Since the models are trained by 24 epochs by default, we set evaluation +# interval to be 20. Please change the interval accordingly if you do not +# use a default schedule. +# optimizer +# This schedule is mainly used by models on nuScenes dataset +optimizer = dict(type='AdamW', lr=1e-4, weight_decay=0.01) +# max_norm=10 is better for SECOND +optimizer_config = dict(grad_clip=dict(max_norm=35, norm_type=2)) +lr_config = dict( + policy='cyclic', + target_ratio=(10, 1e-4), + cyclic_times=1, + step_ratio_up=0.4, +) +momentum_config = dict( + policy='cyclic', + target_ratio=(0.85 / 0.95, 1), + cyclic_times=1, + step_ratio_up=0.4, +) + +# runtime settings +runner = dict(type='EpochBasedRunner', max_epochs=20) diff --git a/projects/configs/_base_/schedules/cyclic_40e.py b/projects/configs/_base_/schedules/cyclic_40e.py new file mode 100644 index 0000000..4a711ac --- /dev/null +++ b/projects/configs/_base_/schedules/cyclic_40e.py @@ -0,0 +1,31 @@ +# The schedule is usually used by models trained on KITTI dataset + +# The learning rate set in the cyclic schedule is the initial learning rate +# rather than the max learning rate. Since the target_ratio is (10, 1e-4), +# the learning rate will change from 0.0018 to 0.018, than go to 0.0018*1e-4 +lr = 0.0018 +# The optimizer follows the setting in SECOND.Pytorch, but here we use +# the offcial AdamW optimizer implemented by PyTorch. +optimizer = dict(type='AdamW', lr=lr, betas=(0.95, 0.99), weight_decay=0.01) +optimizer_config = dict(grad_clip=dict(max_norm=10, norm_type=2)) +# We use cyclic learning rate and momentum schedule following SECOND.Pytorch +# https://github.com/traveller59/second.pytorch/blob/3aba19c9688274f75ebb5e576f65cfe54773c021/torchplus/train/learning_schedules_fastai.py#L69 # noqa +# We implement them in mmcv, for more details, please refer to +# https://github.com/open-mmlab/mmcv/blob/f48241a65aebfe07db122e9db320c31b685dc674/mmcv/runner/hooks/lr_updater.py#L327 # noqa +# https://github.com/open-mmlab/mmcv/blob/f48241a65aebfe07db122e9db320c31b685dc674/mmcv/runner/hooks/momentum_updater.py#L130 # noqa +lr_config = dict( + policy='cyclic', + target_ratio=(10, 1e-4), + cyclic_times=1, + step_ratio_up=0.4, +) +momentum_config = dict( + policy='cyclic', + target_ratio=(0.85 / 0.95, 1), + cyclic_times=1, + step_ratio_up=0.4, +) +# Although the max_epochs is 40, this schedule is usually used we +# RepeatDataset with repeat ratio N, thus the actual max epoch +# number could be Nx40 +runner = dict(type='EpochBasedRunner', max_epochs=40) diff --git a/projects/configs/_base_/schedules/mmdet_schedule_1x.py b/projects/configs/_base_/schedules/mmdet_schedule_1x.py new file mode 100644 index 0000000..13b3783 --- /dev/null +++ b/projects/configs/_base_/schedules/mmdet_schedule_1x.py @@ -0,0 +1,11 @@ +# optimizer +optimizer = dict(type='SGD', lr=0.02, momentum=0.9, weight_decay=0.0001) +optimizer_config = dict(grad_clip=None) +# learning policy +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=500, + warmup_ratio=0.001, + step=[8, 11]) +runner = dict(type='EpochBasedRunner', max_epochs=12) diff --git a/projects/configs/_base_/schedules/schedule_2x.py b/projects/configs/_base_/schedules/schedule_2x.py new file mode 100644 index 0000000..afde799 --- /dev/null +++ b/projects/configs/_base_/schedules/schedule_2x.py @@ -0,0 +1,14 @@ +# optimizer +# This schedule is mainly used by models on nuScenes dataset +optimizer = dict(type='AdamW', lr=0.001, weight_decay=0.01) +# max_norm=10 is better for SECOND +optimizer_config = dict(grad_clip=dict(max_norm=35, norm_type=2)) +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=1000, + warmup_ratio=1.0 / 1000, + step=[20, 23]) +momentum_config = None +# runtime settings +runner = dict(type='EpochBasedRunner', max_epochs=24) diff --git a/projects/configs/_base_/schedules/schedule_3x.py b/projects/configs/_base_/schedules/schedule_3x.py new file mode 100644 index 0000000..115cd26 --- /dev/null +++ b/projects/configs/_base_/schedules/schedule_3x.py @@ -0,0 +1,9 @@ +# optimizer +# This schedule is mainly used by models on indoor dataset, +# e.g., VoteNet on SUNRGBD and ScanNet +lr = 0.008 # max learning rate +optimizer = dict(type='AdamW', lr=lr, weight_decay=0.01) +optimizer_config = dict(grad_clip=dict(max_norm=10, norm_type=2)) +lr_config = dict(policy='step', warmup=None, step=[24, 32]) +# runtime settings +runner = dict(type='EpochBasedRunner', max_epochs=36) diff --git a/projects/configs/_base_/schedules/seg_cosine_150e.py b/projects/configs/_base_/schedules/seg_cosine_150e.py new file mode 100644 index 0000000..04b44e5 --- /dev/null +++ b/projects/configs/_base_/schedules/seg_cosine_150e.py @@ -0,0 +1,9 @@ +# optimizer +# This schedule is mainly used on S3DIS dataset in segmentation task +optimizer = dict(type='SGD', lr=0.2, weight_decay=0.0001, momentum=0.9) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', warmup=None, min_lr=0.002) +momentum_config = None + +# runtime settings +runner = dict(type='EpochBasedRunner', max_epochs=150) diff --git a/projects/configs/_base_/schedules/seg_cosine_200e.py b/projects/configs/_base_/schedules/seg_cosine_200e.py new file mode 100644 index 0000000..6a49484 --- /dev/null +++ b/projects/configs/_base_/schedules/seg_cosine_200e.py @@ -0,0 +1,9 @@ +# optimizer +# This schedule is mainly used on ScanNet dataset in segmentation task +optimizer = dict(type='Adam', lr=0.001, weight_decay=0.01) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', warmup=None, min_lr=1e-5) +momentum_config = None + +# runtime settings +runner = dict(type='EpochBasedRunner', max_epochs=200) diff --git a/projects/configs/_base_/schedules/seg_cosine_50e.py b/projects/configs/_base_/schedules/seg_cosine_50e.py new file mode 100644 index 0000000..975a8f9 --- /dev/null +++ b/projects/configs/_base_/schedules/seg_cosine_50e.py @@ -0,0 +1,9 @@ +# optimizer +# This schedule is mainly used on S3DIS dataset in segmentation task +optimizer = dict(type='Adam', lr=0.001, weight_decay=0.001) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', warmup=None, min_lr=1e-5) +momentum_config = None + +# runtime settings +runner = dict(type='EpochBasedRunner', max_epochs=50) diff --git a/projects/configs/bevformer/bevformer_base.py b/projects/configs/bevformer/bevformer_base.py new file mode 100644 index 0000000..fda635c --- /dev/null +++ b/projects/configs/bevformer/bevformer_base.py @@ -0,0 +1,257 @@ +_base_ = [ + '../datasets/custom_nus-3d.py', + '../_base_/default_runtime.py' +] +# +plugin = True +plugin_dir = 'projects/mmdet3d_plugin/' + +# If point cloud range is changed, the models should also change their point +# cloud range accordingly +point_cloud_range = [-51.2, -51.2, -5.0, 51.2, 51.2, 3.0] +voxel_size = [0.2, 0.2, 8] + + + +img_norm_cfg = dict( + mean=[103.530, 116.280, 123.675], std=[1.0, 1.0, 1.0], to_rgb=False) +# For nuScenes we usually do 10-class detection +class_names = [ + 'car', 'truck', 'construction_vehicle', 'bus', 'trailer', 'barrier', + 'motorcycle', 'bicycle', 'pedestrian', 'traffic_cone' +] + +input_modality = dict( + use_lidar=False, + use_camera=True, + use_radar=False, + use_map=False, + use_external=True) + +_dim_ = 256 +_pos_dim_ = _dim_//2 +_ffn_dim_ = _dim_*2 +_num_levels_ = 4 +bev_h_ = 200 +bev_w_ = 200 +queue_length = 4 # each sequence contains `queue_length` frames. + +model = dict( + type='BEVFormer', + use_grid_mask=True, + video_test_mode=True, + img_backbone=dict( + type='ResNet', + depth=101, + num_stages=4, + out_indices=(1, 2, 3), + frozen_stages=1, + norm_cfg=dict(type='BN2d', requires_grad=False), + norm_eval=True, + style='caffe', + dcn=dict(type='DCNv2', deform_groups=1, fallback_on_stride=False), # original DCNv2 will print log when perform load_state_dict + stage_with_dcn=(False, False, True, True)), + img_neck=dict( + type='FPN', + in_channels=[512, 1024, 2048], + out_channels=_dim_, + start_level=0, + add_extra_convs='on_output', + num_outs=4, + relu_before_extra_convs=True), + pts_bbox_head=dict( + type='BEVFormerHead', + bev_h=bev_h_, + bev_w=bev_w_, + num_query=900, + num_classes=10, + in_channels=_dim_, + sync_cls_avg_factor=True, + with_box_refine=True, + as_two_stage=False, + transformer=dict( + type='PerceptionTransformer', + rotate_prev_bev=True, + use_shift=True, + use_can_bus=True, + embed_dims=_dim_, + encoder=dict( + type='BEVFormerEncoder', + num_layers=6, + pc_range=point_cloud_range, + num_points_in_pillar=4, + return_intermediate=False, + transformerlayers=dict( + type='BEVFormerLayer', + attn_cfgs=[ + dict( + type='TemporalSelfAttention', + embed_dims=_dim_, + num_levels=1), + dict( + type='SpatialCrossAttention', + pc_range=point_cloud_range, + deformable_attention=dict( + type='MSDeformableAttention3D', + embed_dims=_dim_, + num_points=8, + num_levels=_num_levels_), + embed_dims=_dim_, + ) + ], + feedforward_channels=_ffn_dim_, + ffn_dropout=0.1, + operation_order=('self_attn', 'norm', 'cross_attn', 'norm', + 'ffn', 'norm'))), + decoder=dict( + type='DetectionTransformerDecoder', + num_layers=6, + return_intermediate=True, + transformerlayers=dict( + type='DetrTransformerDecoderLayer', + attn_cfgs=[ + dict( + type='MultiheadAttention', + embed_dims=_dim_, + num_heads=8, + dropout=0.1), + dict( + type='CustomMSDeformableAttention', + embed_dims=_dim_, + num_levels=1), + ], + + feedforward_channels=_ffn_dim_, + ffn_dropout=0.1, + operation_order=('self_attn', 'norm', 'cross_attn', 'norm', + 'ffn', 'norm')))), + bbox_coder=dict( + type='NMSFreeCoder', + post_center_range=[-61.2, -61.2, -10.0, 61.2, 61.2, 10.0], + pc_range=point_cloud_range, + max_num=300, + voxel_size=voxel_size, + num_classes=10), + positional_encoding=dict( + type='LearnedPositionalEncoding', + num_feats=_pos_dim_, + row_num_embed=bev_h_, + col_num_embed=bev_w_, + ), + loss_cls=dict( + type='FocalLoss', + use_sigmoid=True, + gamma=2.0, + alpha=0.25, + loss_weight=2.0), + loss_bbox=dict(type='L1Loss', loss_weight=0.25), + loss_iou=dict(type='GIoULoss', loss_weight=0.0)), + # model training and testing settings + train_cfg=dict(pts=dict( + grid_size=[512, 512, 1], + voxel_size=voxel_size, + point_cloud_range=point_cloud_range, + out_size_factor=4, + assigner=dict( + type='HungarianAssigner3D', + cls_cost=dict(type='FocalLossCost', weight=2.0), + reg_cost=dict(type='BBox3DL1Cost', weight=0.25), + iou_cost=dict(type='IoUCost', weight=0.0), # Fake cost. This is just to make it compatible with DETR head. + pc_range=point_cloud_range)))) + +dataset_type = 'CustomNuScenesDataset' +data_root = 'data/nuscenes/' +file_client_args = dict(backend='disk') + + +train_pipeline = [ + dict(type='LoadMultiViewImageFromFiles', to_float32=True), + dict(type='PhotoMetricDistortionMultiViewImage'), + dict(type='LoadAnnotations3D', with_bbox_3d=True, with_label_3d=True, with_attr_label=False), + dict(type='ObjectRangeFilter', point_cloud_range=point_cloud_range), + dict(type='ObjectNameFilter', classes=class_names), + dict(type='NormalizeMultiviewImage', **img_norm_cfg), + dict(type='PadMultiViewImage', size_divisor=32), + dict(type='DefaultFormatBundle3D', class_names=class_names), + dict(type='CustomCollect3D', keys=['gt_bboxes_3d', 'gt_labels_3d', 'img']) +] + +test_pipeline = [ + dict(type='LoadMultiViewImageFromFiles', to_float32=True), + dict(type='NormalizeMultiviewImage', **img_norm_cfg), + dict(type='PadMultiViewImage', size_divisor=32), + dict( + type='MultiScaleFlipAug3D', + img_scale=(1600, 900), + pts_scale_ratio=1, + flip=False, + transforms=[ + dict( + type='DefaultFormatBundle3D', + class_names=class_names, + with_label=False), + dict(type='CustomCollect3D', keys=['img']) + ]) +] + +data = dict( + samples_per_gpu=1, + workers_per_gpu=4, + train=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'nuscenes_infos_temporal_train.pkl', + pipeline=train_pipeline, + classes=class_names, + modality=input_modality, + test_mode=False, + use_valid_flag=True, + bev_size=(bev_h_, bev_w_), + queue_length=queue_length, + # we use box_type_3d='LiDAR' in kitti and nuscenes dataset + # and box_type_3d='Depth' in sunrgbd and scannet dataset. + box_type_3d='LiDAR'), + val=dict(type=dataset_type, + data_root=data_root, + ann_file=data_root + 'nuscenes_infos_temporal_val.pkl', + pipeline=test_pipeline, bev_size=(bev_h_, bev_w_), + classes=class_names, modality=input_modality, samples_per_gpu=1), + test=dict(type=dataset_type, + data_root=data_root, + ann_file=data_root + 'nuscenes_infos_temporal_val.pkl', + pipeline=test_pipeline, bev_size=(bev_h_, bev_w_), + classes=class_names, modality=input_modality), + shuffler_sampler=dict(type='DistributedGroupSampler'), + nonshuffler_sampler=dict(type='DistributedSampler') +) + +optimizer = dict( + type='AdamW', + lr=2e-4, + paramwise_cfg=dict( + custom_keys={ + 'img_backbone': dict(lr_mult=0.1), + }), + weight_decay=0.01) + +optimizer_config = dict(grad_clip=dict(max_norm=35, norm_type=2)) +# learning policy +lr_config = dict( + policy='CosineAnnealing', + warmup='linear', + warmup_iters=500, + warmup_ratio=1.0 / 3, + min_lr_ratio=1e-3) +total_epochs = 24 +evaluation = dict(interval=1, pipeline=test_pipeline) + +runner = dict(type='EpochBasedRunner', max_epochs=total_epochs) +load_from = 'ckpts/r101_dcn_fcos3d_pretrain.pth' +log_config = dict( + interval=50, + hooks=[ + dict(type='TextLoggerHook'), + dict(type='TensorboardLoggerHook') + ]) + +checkpoint_config = dict(interval=1) diff --git a/projects/configs/bevformer/bevformer_base_seg_det_150x150.py b/projects/configs/bevformer/bevformer_base_seg_det_150x150.py new file mode 100644 index 0000000..feb7db3 --- /dev/null +++ b/projects/configs/bevformer/bevformer_base_seg_det_150x150.py @@ -0,0 +1,294 @@ +_base_ = [ + '../datasets/custom_nus-3d.py', + '../_base_/default_runtime.py' +] +# +plugin = True +plugin_dir = 'projects/mmdet3d_plugin/' + +# If point cloud range is changed, the models should also change their point +# cloud range accordingly +point_cloud_range = [-51.2, -51.2, -5.0, 51.2, 51.2, 3.0] +voxel_size = [0.2, 0.2, 8] + +det_grid_conf = { + 'xbound': [-51.2, 51.2, 0.68], + 'ybound': [-51.2, 51.2, 0.68], + 'zbound': [-10.0, 10.0, 20.0], + 'dbound': [1.0, 60.0, 1.0], +} + +map_grid_conf = { + 'xbound': [-30.0, 30.0, 0.15], + 'ybound': [-15.0, 15.0, 0.15], + 'zbound': [-10.0, 10.0, 20.0], + 'dbound': [1.0, 60.0, 1.0], +} + + +grid_conf = map_grid_conf + +img_norm_cfg = dict( + mean=[103.530, 116.280, 123.675], std=[1.0, 1.0, 1.0], to_rgb=False) +# For nuScenes we usually do 10-class detection +class_names = [ + 'car', 'truck', 'construction_vehicle', 'bus', 'trailer', 'barrier', + 'motorcycle', 'bicycle', 'pedestrian', 'traffic_cone' +] + +input_modality = dict( + use_lidar=False, + use_camera=True, + use_radar=False, + use_map=False, + use_external=True) + +_dim_ = 256 +_pos_dim_ = _dim_//2 +_ffn_dim_ = _dim_*2 +_num_levels_ = 4 +bev_h_ = 150 +bev_w_ = 150 +queue_length = 4 # each sequence contains `queue_length` frames. + + +model = dict( + type='BEVFormer', + use_grid_mask=True, + video_test_mode=True, + img_backbone=dict( + type='ResNet', + depth=101, + num_stages=4, + out_indices=(1, 2, 3), + frozen_stages=1, + norm_cfg=dict(type='BN2d', requires_grad=False), + norm_eval=True, + style='caffe', + dcn=dict(type='DCNv2', deform_groups=1, fallback_on_stride=False), # original DCNv2 will print log when perform load_state_dict + stage_with_dcn=(False, False, True, True)), + img_neck=dict( + type='FPN', + in_channels=[512, 1024, 2048], + out_channels=_dim_, + start_level=0, + add_extra_convs='on_output', + num_outs=4, + relu_before_extra_convs=True), + pts_bbox_head=dict( + type='BEVFormerHead', + bev_h=bev_h_, + bev_w=bev_w_, + num_query=900, + num_classes=10, + in_channels=_dim_, + sync_cls_avg_factor=True, + with_box_refine=True, + as_two_stage=False, + task={'seg': True, + 'det': True}, + det_grid_conf=det_grid_conf, + map_grid_conf=map_grid_conf, + seg_encoder=dict( + type='SegEncode', + inC=256, + outC=4), + loss_seg=dict( + type='CrossEntropyLoss', + use_sigmoid=False, + loss_weight=3.0, + class_weight=[0.3, 2.0, 2.0, 2.0]), + transformer=dict( + type='PerceptionTransformer', + rotate_prev_bev=True, + use_shift=True, + use_can_bus=True, + embed_dims=_dim_, + encoder=dict( + type='BEVFormerEncoder', + num_layers=6, + pc_range=point_cloud_range, + num_points_in_pillar=4, + return_intermediate=False, + transformerlayers=dict( + type='BEVFormerLayer', + attn_cfgs=[ + dict( + type='TemporalSelfAttention', + embed_dims=_dim_, + num_levels=1), + dict( + type='SpatialCrossAttention', + pc_range=point_cloud_range, + deformable_attention=dict( + type='MSDeformableAttention3D', + embed_dims=_dim_, + num_points=8, + num_levels=_num_levels_), + embed_dims=_dim_, + ) + ], + feedforward_channels=_ffn_dim_, + ffn_dropout=0.1, + operation_order=('self_attn', 'norm', 'cross_attn', 'norm', + 'ffn', 'norm'))), + decoder=dict( + type='DetectionTransformerDecoder', + num_layers=6, + return_intermediate=True, + transformerlayers=dict( + type='DetrTransformerDecoderLayer', + attn_cfgs=[ + dict( + type='MultiheadAttention', + embed_dims=_dim_, + num_heads=8, + dropout=0.1), + dict( + type='CustomMSDeformableAttention', + embed_dims=_dim_, + num_levels=1), + ], + + feedforward_channels=_ffn_dim_, + ffn_dropout=0.1, + operation_order=('self_attn', 'norm', 'cross_attn', 'norm', + 'ffn', 'norm')))), + bbox_coder=dict( + type='NMSFreeCoder', + post_center_range=[-61.2, -61.2, -10.0, 61.2, 61.2, 10.0], + pc_range=point_cloud_range, + max_num=300, + voxel_size=voxel_size, + num_classes=10), + positional_encoding=dict( + type='LearnedPositionalEncoding', + num_feats=_pos_dim_, + row_num_embed=bev_h_, + col_num_embed=bev_w_, + ), + loss_cls=dict( + type='FocalLoss', + use_sigmoid=True, + gamma=2.0, + alpha=0.25, + loss_weight=2.0), + loss_bbox=dict(type='L1Loss', loss_weight=0.25), + loss_iou=dict(type='GIoULoss', loss_weight=0.0)), + # model training and testing settings + train_cfg=dict(pts=dict( + grid_size=[512, 512, 1], + voxel_size=voxel_size, + point_cloud_range=point_cloud_range, + out_size_factor=4, + assigner=dict( + type='HungarianAssigner3D', + cls_cost=dict(type='FocalLossCost', weight=2.0), + reg_cost=dict(type='BBox3DL1Cost', weight=0.25), + iou_cost=dict(type='IoUCost', weight=0.0), # Fake cost. This is just to make it compatible with DETR head. + pc_range=point_cloud_range)))) + +dataset_type = 'CustomNuScenesDataset' +data_root = 'data/nuscenes/' +file_client_args = dict(backend='disk') + + +train_pipeline = [ + dict(type='LoadMultiViewImageFromFiles', to_float32=True), + dict(type='PhotoMetricDistortionMultiViewImage'), + dict(type='LoadAnnotations3D', with_bbox_3d=True, with_label_3d=True, with_attr_label=False), + # convert map labels + dict(type='RasterizeMapVectors', map_grid_conf=map_grid_conf), + dict(type='ObjectRangeFilter', point_cloud_range=point_cloud_range), + dict(type='ObjectNameFilter', classes=class_names), + dict(type='NormalizeMultiviewImage', **img_norm_cfg), + dict(type='PadMultiViewImage', size_divisor=32), + dict(type='DefaultFormatBundle3D', class_names=class_names), + dict(type='CustomCollect3D', keys=['gt_bboxes_3d', 'gt_labels_3d', 'img', 'semantic_indices']) +] + +test_pipeline = [ + dict(type='LoadMultiViewImageFromFiles', to_float32=True), + # convert map labels + dict(type='RasterizeMapVectors', map_grid_conf=map_grid_conf), + dict(type='NormalizeMultiviewImage', **img_norm_cfg), + dict(type='PadMultiViewImage', size_divisor=32), + dict( + type='MultiScaleFlipAug3D', + img_scale=(1600, 900), + pts_scale_ratio=1, + flip=False, + transforms=[ + dict( + type='DefaultFormatBundle3D', + class_names=class_names, + with_label=False), + dict(type='CustomCollect3D', keys=['img', 'semantic_indices']) + ]) +] + +data = dict( + samples_per_gpu=2, + workers_per_gpu=4, + train=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'nuscenes_infos_temporal_train.pkl', + pipeline=train_pipeline, + classes=class_names, + modality=input_modality, + test_mode=False, + use_valid_flag=True, + grid_conf=grid_conf, + bev_size=(bev_h_, bev_w_), + queue_length=queue_length, + # we use box_type_3d='LiDAR' in kitti and nuscenes dataset + # and box_type_3d='Depth' in sunrgbd and scannet dataset. + box_type_3d='LiDAR'), + val=dict(type=dataset_type, + data_root=data_root, + grid_conf=grid_conf, + ann_file=data_root + 'nuscenes_infos_temporal_val.pkl', + pipeline=test_pipeline, bev_size=(bev_h_, bev_w_), + classes=class_names, modality=input_modality, samples_per_gpu=1), + test=dict(type=dataset_type, + grid_conf=grid_conf, + data_root=data_root, + ann_file=data_root + 'nuscenes_infos_temporal_val.pkl', + pipeline=test_pipeline, bev_size=(bev_h_, bev_w_), + classes=class_names, modality=input_modality), + shuffler_sampler=dict(type='DistributedGroupSampler'), + nonshuffler_sampler=dict(type='DistributedSampler') +) + +optimizer = dict( + type='AdamW', + lr=2e-4, + paramwise_cfg=dict( + custom_keys={ + 'img_backbone': dict(lr_mult=0.1), + }), + weight_decay=0.01) + +optimizer_config = dict(grad_clip=dict(max_norm=35, norm_type=2)) +# learning policy +lr_config = dict( + policy='CosineAnnealing', + warmup='linear', + warmup_iters=500, + warmup_ratio=1.0 / 3, + min_lr_ratio=1e-3) +total_epochs = 24 +evaluation = dict(interval=1, pipeline=test_pipeline) + +runner = dict(type='EpochBasedRunner', max_epochs=total_epochs) +load_from = 'ckpts/r101_dcn_fcos3d_pretrain.pth' +#load_from = '/root/work_code/BEVFormer/work_dirs/bevformer_base_seg_det/epoch_21.pth' +log_config = dict( + interval=50, + hooks=[ + dict(type='TextLoggerHook'), + dict(type='TensorboardLoggerHook') + ]) + +checkpoint_config = dict(interval=1) diff --git a/projects/configs/bevformer/bevformer_small.py b/projects/configs/bevformer/bevformer_small.py new file mode 100644 index 0000000..2701914 --- /dev/null +++ b/projects/configs/bevformer/bevformer_small.py @@ -0,0 +1,268 @@ +# BEvFormer-small consumes at lease 10500M GPU memory +# compared to bevformer_base, bevformer_small has +# smaller BEV: 200*200 -> 150*150 +# less encoder layers: 6 -> 3 +# smaller input size: 1600*900 -> (1600*900)*0.8 +# multi-scale feautres -> single scale features (C5) +# with_cp of backbone = True + +_base_ = [ + '../datasets/custom_nus-3d.py', + '../_base_/default_runtime.py' +] +# +plugin = True +plugin_dir = 'projects/mmdet3d_plugin/' + +# If point cloud range is changed, the models should also change their point +# cloud range accordingly +point_cloud_range = [-51.2, -51.2, -5.0, 51.2, 51.2, 3.0] +voxel_size = [0.2, 0.2, 8] + + +img_norm_cfg = dict( + mean=[103.530, 116.280, 123.675], std=[1.0, 1.0, 1.0], to_rgb=False) +# For nuScenes we usually do 10-class detection +class_names = [ + 'car', 'truck', 'construction_vehicle', 'bus', 'trailer', 'barrier', + 'motorcycle', 'bicycle', 'pedestrian', 'traffic_cone' +] + +input_modality = dict( + use_lidar=False, + use_camera=True, + use_radar=False, + use_map=False, + use_external=True) + +_dim_ = 256 +_pos_dim_ = _dim_//2 +_ffn_dim_ = _dim_*2 +_num_levels_ = 1 +bev_h_ = 150 +bev_w_ = 150 +queue_length = 3 # each sequence contains `queue_length` frames. + +model = dict( + type='BEVFormer', + use_grid_mask=True, + video_test_mode=True, + img_backbone=dict( + type='ResNet', + depth=101, + num_stages=4, + out_indices=(3,), + frozen_stages=1, + norm_cfg=dict(type='BN2d', requires_grad=False), + norm_eval=True, + style='caffe', + with_cp=True, # using checkpoint to save GPU memory + dcn=dict(type='DCNv2', deform_groups=1, fallback_on_stride=False), # original DCNv2 will print log when perform load_state_dict + stage_with_dcn=(False, False, True, True)), + img_neck=dict( + type='FPN', + in_channels=[2048], + out_channels=_dim_, + start_level=0, + add_extra_convs='on_output', + num_outs=_num_levels_, + relu_before_extra_convs=True), + pts_bbox_head=dict( + type='BEVFormerHead', + bev_h=bev_h_, + bev_w=bev_w_, + num_query=900, + num_classes=10, + in_channels=_dim_, + sync_cls_avg_factor=True, + with_box_refine=True, + as_two_stage=False, + transformer=dict( + type='PerceptionTransformer', + rotate_prev_bev=True, + use_shift=True, + use_can_bus=True, + embed_dims=_dim_, + encoder=dict( + type='BEVFormerEncoder', + num_layers=3, + pc_range=point_cloud_range, + num_points_in_pillar=4, + return_intermediate=False, + transformerlayers=dict( + type='BEVFormerLayer', + attn_cfgs=[ + dict( + type='TemporalSelfAttention', + embed_dims=_dim_, + num_levels=1), + dict( + type='SpatialCrossAttention', + pc_range=point_cloud_range, + deformable_attention=dict( + type='MSDeformableAttention3D', + embed_dims=_dim_, + num_points=8, + num_levels=_num_levels_), + embed_dims=_dim_, + ) + ], + feedforward_channels=_ffn_dim_, + ffn_dropout=0.1, + operation_order=('self_attn', 'norm', 'cross_attn', 'norm', + 'ffn', 'norm'))), + decoder=dict( + type='DetectionTransformerDecoder', + num_layers=6, + return_intermediate=True, + transformerlayers=dict( + type='DetrTransformerDecoderLayer', + attn_cfgs=[ + dict( + type='MultiheadAttention', + embed_dims=_dim_, + num_heads=8, + dropout=0.1), + dict( + type='CustomMSDeformableAttention', + embed_dims=_dim_, + num_levels=1), + ], + + feedforward_channels=_ffn_dim_, + ffn_dropout=0.1, + operation_order=('self_attn', 'norm', 'cross_attn', 'norm', + 'ffn', 'norm')))), + bbox_coder=dict( + type='NMSFreeCoder', + post_center_range=[-61.2, -61.2, -10.0, 61.2, 61.2, 10.0], + pc_range=point_cloud_range, + max_num=300, + voxel_size=voxel_size, + num_classes=10), + positional_encoding=dict( + type='LearnedPositionalEncoding', + num_feats=_pos_dim_, + row_num_embed=bev_h_, + col_num_embed=bev_w_, + ), + loss_cls=dict( + type='FocalLoss', + use_sigmoid=True, + gamma=2.0, + alpha=0.25, + loss_weight=2.0), + loss_bbox=dict(type='L1Loss', loss_weight=0.25), + loss_iou=dict(type='GIoULoss', loss_weight=0.0)), + # model training and testing settings + train_cfg=dict(pts=dict( + grid_size=[512, 512, 1], + voxel_size=voxel_size, + point_cloud_range=point_cloud_range, + out_size_factor=4, + assigner=dict( + type='HungarianAssigner3D', + cls_cost=dict(type='FocalLossCost', weight=2.0), + reg_cost=dict(type='BBox3DL1Cost', weight=0.25), + iou_cost=dict(type='IoUCost', weight=0.0), # Fake cost. This is just to make it compatible with DETR head. + pc_range=point_cloud_range)))) + +dataset_type = 'CustomNuScenesDataset' +data_root = 'data/nuscenes/' +file_client_args = dict(backend='disk') + + +train_pipeline = [ + dict(type='LoadMultiViewImageFromFiles', to_float32=True), + dict(type='PhotoMetricDistortionMultiViewImage'), + dict(type='LoadAnnotations3D', with_bbox_3d=True, with_label_3d=True, with_attr_label=False), + dict(type='ObjectRangeFilter', point_cloud_range=point_cloud_range), + dict(type='ObjectNameFilter', classes=class_names), + dict(type='NormalizeMultiviewImage', **img_norm_cfg), + dict(type='RandomScaleImageMultiViewImage', scales=[0.8]), + dict(type='PadMultiViewImage', size_divisor=32), + dict(type='DefaultFormatBundle3D', class_names=class_names), + dict(type='CustomCollect3D', keys=['gt_bboxes_3d', 'gt_labels_3d', 'img']) +] + +test_pipeline = [ + dict(type='LoadMultiViewImageFromFiles', to_float32=True), + dict(type='NormalizeMultiviewImage', **img_norm_cfg), + # dict(type='PadMultiViewImage', size_divisor=32), + dict( + type='MultiScaleFlipAug3D', + img_scale=(1600, 900), + pts_scale_ratio=1, + flip=False, + transforms=[ + dict(type='RandomScaleImageMultiViewImage', scales=[0.8]), + dict(type='PadMultiViewImage', size_divisor=32), + dict( + type='DefaultFormatBundle3D', + class_names=class_names, + with_label=False), + dict(type='CustomCollect3D', keys=['img']) + ]) +] + +data = dict( + samples_per_gpu=1, + workers_per_gpu=4, + train=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'nuscenes_infos_temporal_train.pkl', + pipeline=train_pipeline, + classes=class_names, + modality=input_modality, + test_mode=False, + use_valid_flag=True, + bev_size=(bev_h_, bev_w_), + queue_length=queue_length, + # we use box_type_3d='LiDAR' in kitti and nuscenes dataset + # and box_type_3d='Depth' in sunrgbd and scannet dataset. + box_type_3d='LiDAR'), + val=dict(type=dataset_type, + data_root=data_root, + ann_file=data_root + 'nuscenes_infos_temporal_val.pkl', + pipeline=test_pipeline, bev_size=(bev_h_, bev_w_), + classes=class_names, modality=input_modality, samples_per_gpu=1), + test=dict(type=dataset_type, + data_root=data_root, + ann_file=data_root + 'nuscenes_infos_temporal_val.pkl', + pipeline=test_pipeline, bev_size=(bev_h_, bev_w_), + classes=class_names, modality=input_modality), + shuffler_sampler=dict(type='DistributedGroupSampler'), + nonshuffler_sampler=dict(type='DistributedSampler') +) + +optimizer = dict( + type='AdamW', + lr=2e-4, + paramwise_cfg=dict( + custom_keys={ + 'img_backbone': dict(lr_mult=0.1), + }), + weight_decay=0.01) + +optimizer_config = dict(grad_clip=dict(max_norm=35, norm_type=2)) +# learning policy +lr_config = dict( + policy='CosineAnnealing', + warmup='linear', + warmup_iters=500, + warmup_ratio=1.0 / 3, + min_lr_ratio=1e-3) +total_epochs = 24 +evaluation = dict(interval=1, pipeline=test_pipeline) + +runner = dict(type='EpochBasedRunner', max_epochs=total_epochs) +load_from = 'ckpts/r101_dcn_fcos3d_pretrain.pth' +log_config = dict( + interval=50, + hooks=[ + dict(type='TextLoggerHook'), + dict(type='TensorboardLoggerHook') + ]) + +checkpoint_config = dict(interval=1) diff --git a/projects/configs/bevformer/bevformer_small_det.py b/projects/configs/bevformer/bevformer_small_det.py new file mode 100644 index 0000000..92d5fe7 --- /dev/null +++ b/projects/configs/bevformer/bevformer_small_det.py @@ -0,0 +1,292 @@ +# BEvFormer-small consumes at lease 10500M GPU memory +# compared to bevformer_base, bevformer_small has +# smaller BEV: 200*200 -> 150*150 +# less encoder layers: 6 -> 3 +# smaller input size: 1600*900 -> (1600*900)*0.8 +# multi-scale feautres -> single scale features (C5) +# with_cp of backbone = True + +_base_ = [ + '../datasets/custom_nus-3d.py', + '../_base_/default_runtime.py' +] +# +plugin = True +plugin_dir = 'projects/mmdet3d_plugin/' + +# If point cloud range is changed, the models should also change their point +# cloud range accordingly +point_cloud_range = [-51.2, -51.2, -5.0, 51.2, 51.2, 3.0] +voxel_size = [0.2, 0.2, 8] + +det_grid_conf = { + 'xbound': [-51.2, 51.2, 0.68], + 'ybound': [-51.2, 51.2, 0.68], + 'zbound': [-10.0, 10.0, 20.0], + 'dbound': [1.0, 60.0, 1.0], +} + +map_grid_conf = { + 'xbound': [-30.0, 30.0, 0.15], + 'ybound': [-15.0, 15.0, 0.15], + 'zbound': [-10.0, 10.0, 20.0], + 'dbound': [1.0, 60.0, 1.0], +} + +grid_conf = map_grid_conf + +img_norm_cfg = dict( + mean=[103.530, 116.280, 123.675], std=[1.0, 1.0, 1.0], to_rgb=False) +# For nuScenes we usually do 10-class detection +class_names = [ + 'car', 'truck', 'construction_vehicle', 'bus', 'trailer', 'barrier', + 'motorcycle', 'bicycle', 'pedestrian', 'traffic_cone' +] + +input_modality = dict( + use_lidar=False, + use_camera=True, + use_radar=False, + use_map=False, + use_external=True) + +_dim_ = 256 +_pos_dim_ = _dim_//2 +_ffn_dim_ = _dim_*2 +_num_levels_ = 1 +bev_h_ = 150 +bev_w_ = 150 +queue_length = 3 # each sequence contains `queue_length` frames. + +model = dict( + type='BEVFormer', + use_grid_mask=True, + video_test_mode=True, + img_backbone=dict( + type='ResNet', + depth=101, + num_stages=4, + out_indices=(3,), + frozen_stages=1, + norm_cfg=dict(type='BN2d', requires_grad=False), + norm_eval=True, + style='caffe', + with_cp=True, # using checkpoint to save GPU memory + dcn=dict(type='DCNv2', deform_groups=1, fallback_on_stride=False), # original DCNv2 will print log when perform load_state_dict + stage_with_dcn=(False, False, True, True)), + img_neck=dict( + type='FPN', + in_channels=[2048], + out_channels=_dim_, + start_level=0, + add_extra_convs='on_output', + num_outs=_num_levels_, + relu_before_extra_convs=True), + pts_bbox_head=dict( + type='BEVFormerHead', + bev_h=bev_h_, + bev_w=bev_w_, + num_query=900, + num_classes=10, + in_channels=_dim_, + sync_cls_avg_factor=True, + with_box_refine=True, + as_two_stage=False, + task={'seg':False, + 'det':True}, + transformer=dict( + type='PerceptionTransformer', + rotate_prev_bev=True, + use_shift=True, + use_can_bus=True, + embed_dims=_dim_, + encoder=dict( + type='BEVFormerEncoder', + num_layers=3, + pc_range=point_cloud_range, + num_points_in_pillar=4, + return_intermediate=False, + transformerlayers=dict( + type='BEVFormerLayer', + attn_cfgs=[ + dict( + type='TemporalSelfAttention', + embed_dims=_dim_, + num_levels=1), + dict( + type='SpatialCrossAttention', + pc_range=point_cloud_range, + deformable_attention=dict( + type='MSDeformableAttention3D', + embed_dims=_dim_, + num_points=8, + num_levels=_num_levels_), + embed_dims=_dim_, + ) + ], + feedforward_channels=_ffn_dim_, + ffn_dropout=0.1, + operation_order=('self_attn', 'norm', 'cross_attn', 'norm', + 'ffn', 'norm'))), + decoder=dict( + type='DetectionTransformerDecoder', + num_layers=6, + return_intermediate=True, + transformerlayers=dict( + type='DetrTransformerDecoderLayer', + attn_cfgs=[ + dict( + type='MultiheadAttention', + embed_dims=_dim_, + num_heads=8, + dropout=0.1), + dict( + type='CustomMSDeformableAttention', + embed_dims=_dim_, + num_levels=1), + ], + + feedforward_channels=_ffn_dim_, + ffn_dropout=0.1, + operation_order=('self_attn', 'norm', 'cross_attn', 'norm', + 'ffn', 'norm')))), + bbox_coder=dict( + type='NMSFreeCoder', + post_center_range=[-61.2, -61.2, -10.0, 61.2, 61.2, 10.0], + pc_range=point_cloud_range, + max_num=300, + voxel_size=voxel_size, + num_classes=10), + positional_encoding=dict( + type='LearnedPositionalEncoding', + num_feats=_pos_dim_, + row_num_embed=bev_h_, + col_num_embed=bev_w_, + ), + loss_cls=dict( + type='FocalLoss', + use_sigmoid=True, + gamma=2.0, + alpha=0.25, + loss_weight=2.0), + loss_bbox=dict(type='L1Loss', loss_weight=0.25), + loss_iou=dict(type='GIoULoss', loss_weight=0.0)), + # model training and testing settings + train_cfg=dict(pts=dict( + grid_size=[512, 512, 1], + voxel_size=voxel_size, + point_cloud_range=point_cloud_range, + out_size_factor=4, + assigner=dict( + type='HungarianAssigner3D', + cls_cost=dict(type='FocalLossCost', weight=2.0), + reg_cost=dict(type='BBox3DL1Cost', weight=0.25), + iou_cost=dict(type='IoUCost', weight=0.0), # Fake cost. This is just to make it compatible with DETR head. + pc_range=point_cloud_range)))) + +dataset_type = 'CustomNuScenesDataset' +data_root = 'data/nuscenes/' +file_client_args = dict(backend='disk') + + +train_pipeline = [ + dict(type='LoadMultiViewImageFromFiles', to_float32=True), + dict(type='PhotoMetricDistortionMultiViewImage'), + dict(type='LoadAnnotations3D', with_bbox_3d=True, with_label_3d=True, with_attr_label=False), + # convert map labels + dict(type='RasterizeMapVectors', map_grid_conf=map_grid_conf), + dict(type='ObjectRangeFilter', point_cloud_range=point_cloud_range), + dict(type='ObjectNameFilter', classes=class_names), + dict(type='NormalizeMultiviewImage', **img_norm_cfg), + dict(type='RandomScaleImageMultiViewImage', scales=[0.8]), + dict(type='PadMultiViewImage', size_divisor=32), + dict(type='DefaultFormatBundle3D', class_names=class_names), + dict(type='CustomCollect3D', keys=['gt_bboxes_3d', 'gt_labels_3d', 'img', 'semantic_indices']) +] + +test_pipeline = [ + dict(type='LoadMultiViewImageFromFiles', to_float32=True), + # convert map labels + dict(type='RasterizeMapVectors', map_grid_conf=map_grid_conf), + dict(type='NormalizeMultiviewImage', **img_norm_cfg), + # dict(type='PadMultiViewImage', size_divisor=32), + dict( + type='MultiScaleFlipAug3D', + img_scale=(1600, 900), + pts_scale_ratio=1, + flip=False, + transforms=[ + dict(type='RandomScaleImageMultiViewImage', scales=[0.8]), + dict(type='PadMultiViewImage', size_divisor=32), + dict( + type='DefaultFormatBundle3D', + class_names=class_names, + with_label=False), + dict(type='CustomCollect3D', keys=['img', 'semantic_indices']) + ]) +] + +data = dict( + samples_per_gpu=1, + workers_per_gpu=4, + train=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'nuscenes_infos_temporal_train.pkl', + pipeline=train_pipeline, + classes=class_names, + modality=input_modality, + test_mode=False, + use_valid_flag=True, + grid_conf=grid_conf, + bev_size=(bev_h_, bev_w_), + queue_length=queue_length, + # we use box_type_3d='LiDAR' in kitti and nuscenes dataset + # and box_type_3d='Depth' in sunrgbd and scannet dataset. + box_type_3d='LiDAR'), + val=dict(type=dataset_type, + data_root=data_root, + grid_conf=grid_conf, + ann_file=data_root + 'nuscenes_infos_temporal_val.pkl', + pipeline=test_pipeline, bev_size=(bev_h_, bev_w_), + classes=class_names, modality=input_modality, samples_per_gpu=1), + test=dict(type=dataset_type, + grid_conf=grid_conf, + data_root=data_root, + ann_file=data_root + 'nuscenes_infos_temporal_val.pkl', + pipeline=test_pipeline, bev_size=(bev_h_, bev_w_), + classes=class_names, modality=input_modality), + shuffler_sampler=dict(type='DistributedGroupSampler'), + nonshuffler_sampler=dict(type='DistributedSampler') +) + +optimizer = dict( + type='AdamW', + lr=1e-4, + paramwise_cfg=dict( + custom_keys={ + 'img_backbone': dict(lr_mult=0.1), + }), + weight_decay=0.01) + +optimizer_config = dict(grad_clip=dict(max_norm=35, norm_type=2)) +# learning policy +lr_config = dict( + policy='CosineAnnealing', + warmup='linear', + warmup_iters=500, + warmup_ratio=1.0 / 3, + min_lr_ratio=1e-3) +total_epochs = 24 +evaluation = dict(interval=1, pipeline=test_pipeline) + +runner = dict(type='EpochBasedRunner', max_epochs=total_epochs) +load_from = 'ckpts/r101_dcn_fcos3d_pretrain.pth' +log_config = dict( + interval=50, + hooks=[ + dict(type='TextLoggerHook'), + dict(type='TensorboardLoggerHook') + ]) + +checkpoint_config = dict(interval=1) diff --git a/projects/configs/bevformer/bevformer_small_seg.py b/projects/configs/bevformer/bevformer_small_seg.py new file mode 100644 index 0000000..b59b31a --- /dev/null +++ b/projects/configs/bevformer/bevformer_small_seg.py @@ -0,0 +1,282 @@ +# BEvFormer-small consumes at lease 10500M GPU memory +# compared to bevformer_base, bevformer_small has +# smaller BEV: 200*200 -> 150*150 +# less encoder layers: 6 -> 3 +# smaller input size: 1600*900 -> (1600*900)*0.8 +# multi-scale feautres -> single scale features (C5) +# with_cp of backbone = True + +_base_ = [ + '../datasets/custom_nus-3d.py', + '../_base_/default_runtime.py' +] +# +plugin = True +plugin_dir = 'projects/mmdet3d_plugin/' + +# If point cloud range is changed, the models should also change their point +# cloud range accordingly +point_cloud_range = [-51.2, -51.2, -5.0, 51.2, 51.2, 3.0] +voxel_size = [0.2, 0.2, 8] + +det_grid_conf = { + 'xbound': [-51.2, 51.2, 0.68], + 'ybound': [-51.2, 51.2, 0.68], + 'zbound': [-10.0, 10.0, 20.0], + 'dbound': [1.0, 60.0, 1.0], +} + +map_grid_conf = { + 'xbound': [-30.0, 30.0, 0.15], + 'ybound': [-15.0, 15.0, 0.15], + 'zbound': [-10.0, 10.0, 20.0], + 'dbound': [1.0, 60.0, 1.0], +} + +grid_conf = map_grid_conf + +img_norm_cfg = dict( + mean=[103.530, 116.280, 123.675], std=[1.0, 1.0, 1.0], to_rgb=False) +# For nuScenes we usually do 10-class detection +class_names = [ + 'car', 'truck', 'construction_vehicle', 'bus', 'trailer', 'barrier', + 'motorcycle', 'bicycle', 'pedestrian', 'traffic_cone' +] + +input_modality = dict( + use_lidar=False, + use_camera=True, + use_radar=False, + use_map=False, + use_external=True) + +_dim_ = 256 +_pos_dim_ = _dim_//2 +_ffn_dim_ = _dim_*2 +_num_levels_ = 1 +bev_h_ = 150 +bev_w_ = 150 +queue_length = 3 # each sequence contains `queue_length` frames. + +model = dict( + type='BEVFormer', + use_grid_mask=True, + video_test_mode=True, + img_backbone=dict( + type='ResNet', + depth=101, + num_stages=4, + out_indices=(3,), + frozen_stages=1, + norm_cfg=dict(type='BN2d', requires_grad=False), + norm_eval=True, + style='caffe', + with_cp=True, # using checkpoint to save GPU memory + dcn=dict(type='DCNv2', deform_groups=1, fallback_on_stride=False), # original DCNv2 will print log when perform load_state_dict + stage_with_dcn=(False, False, True, True)), + img_neck=dict( + type='FPN', + in_channels=[2048], + out_channels=_dim_, + start_level=0, + add_extra_convs='on_output', + num_outs=_num_levels_, + relu_before_extra_convs=True), + pts_bbox_head=dict( + type='BEVFormerHead', + bev_h=bev_h_, + bev_w=bev_w_, + num_query=900, + num_classes=10, + in_channels=_dim_, + sync_cls_avg_factor=True, + with_box_refine=False, + as_two_stage=False, + task={'seg':True, + 'det':False}, + det_grid_conf=det_grid_conf, + map_grid_conf=map_grid_conf, + seg_encoder=dict( + type='SegEncode', + inC=256, + outC=4), + loss_seg=dict( + type='CrossEntropyLoss', + use_sigmoid=False, + loss_weight=3.0, + class_weight=[0.5, 2.0, 2.0, 2.0]), + transformer=dict( + type='PerceptionTransformer', + rotate_prev_bev=True, + use_shift=True, + use_can_bus=True, + embed_dims=_dim_, + encoder=dict( + type='BEVFormerEncoder', + num_layers=3, + pc_range=point_cloud_range, + num_points_in_pillar=4, + return_intermediate=False, + transformerlayers=dict( + type='BEVFormerLayer', + attn_cfgs=[ + dict( + type='TemporalSelfAttention', + embed_dims=_dim_, + num_levels=1), + dict( + type='SpatialCrossAttention', + pc_range=point_cloud_range, + deformable_attention=dict( + type='MSDeformableAttention3D', + embed_dims=_dim_, + num_points=8, + num_levels=_num_levels_), + embed_dims=_dim_, + ) + ], + feedforward_channels=_ffn_dim_, + ffn_dropout=0.1, + operation_order=('self_attn', 'norm', 'cross_attn', 'norm', + 'ffn', 'norm')))), + bbox_coder=dict( + type='NMSFreeCoder', + post_center_range=[-61.2, -61.2, -10.0, 61.2, 61.2, 10.0], + pc_range=point_cloud_range, + max_num=300, + voxel_size=voxel_size, + num_classes=10), + positional_encoding=dict( + type='LearnedPositionalEncoding', + num_feats=_pos_dim_, + row_num_embed=bev_h_, + col_num_embed=bev_w_, + ), + loss_cls=dict( + type='FocalLoss', + use_sigmoid=True, + gamma=2.0, + alpha=0.25, + loss_weight=2.0), + loss_bbox=dict(type='L1Loss', loss_weight=0.25), + loss_iou=dict(type='GIoULoss', loss_weight=0.0)), + # model training and testing settings + train_cfg=dict(pts=dict( + grid_size=[512, 512, 1], + voxel_size=voxel_size, + point_cloud_range=point_cloud_range, + out_size_factor=4, + assigner=dict( + type='HungarianAssigner3D', + cls_cost=dict(type='FocalLossCost', weight=2.0), + reg_cost=dict(type='BBox3DL1Cost', weight=0.25), + iou_cost=dict(type='IoUCost', weight=0.0), # Fake cost. This is just to make it compatible with DETR head. + pc_range=point_cloud_range)))) + +dataset_type = 'CustomNuScenesDataset' +data_root = 'data/nuscenes/' +file_client_args = dict(backend='disk') + + +train_pipeline = [ + dict(type='LoadMultiViewImageFromFiles', to_float32=True), + dict(type='PhotoMetricDistortionMultiViewImage'), + dict(type='LoadAnnotations3D', with_bbox_3d=True, with_label_3d=True, with_attr_label=False), + # convert map labels + dict(type='RasterizeMapVectors', map_grid_conf=map_grid_conf), + dict(type='ObjectRangeFilter', point_cloud_range=point_cloud_range), + dict(type='ObjectNameFilter', classes=class_names), + dict(type='NormalizeMultiviewImage', **img_norm_cfg), + dict(type='RandomScaleImageMultiViewImage', scales=[0.8]), + dict(type='PadMultiViewImage', size_divisor=32), + dict(type='DefaultFormatBundle3D', class_names=class_names), + dict(type='CustomCollect3D', keys=['gt_bboxes_3d', 'gt_labels_3d', 'img', 'semantic_indices']) +] + +test_pipeline = [ + dict(type='LoadMultiViewImageFromFiles', to_float32=True), + # convert map labels + dict(type='RasterizeMapVectors', map_grid_conf=map_grid_conf), + dict(type='NormalizeMultiviewImage', **img_norm_cfg), + # dict(type='PadMultiViewImage', size_divisor=32), + dict( + type='MultiScaleFlipAug3D', + img_scale=(1600, 900), + pts_scale_ratio=1, + flip=False, + transforms=[ + dict(type='RandomScaleImageMultiViewImage', scales=[0.8]), + dict(type='PadMultiViewImage', size_divisor=32), + dict( + type='DefaultFormatBundle3D', + class_names=class_names, + with_label=False), + dict(type='CustomCollect3D', keys=['img', 'semantic_indices']) + ]) +] + +data = dict( + samples_per_gpu=1, + workers_per_gpu=4, + train=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'nuscenes_infos_temporal_train.pkl', + pipeline=train_pipeline, + classes=class_names, + modality=input_modality, + test_mode=False, + use_valid_flag=True, + grid_conf=grid_conf, + bev_size=(bev_h_, bev_w_), + queue_length=queue_length, + # we use box_type_3d='LiDAR' in kitti and nuscenes dataset + # and box_type_3d='Depth' in sunrgbd and scannet dataset. + box_type_3d='LiDAR'), + val=dict(type=dataset_type, + data_root=data_root, + grid_conf=grid_conf, + ann_file=data_root + 'nuscenes_infos_temporal_val.pkl', + pipeline=test_pipeline, bev_size=(bev_h_, bev_w_), + classes=class_names, modality=input_modality, samples_per_gpu=1), + test=dict(type=dataset_type, + grid_conf=grid_conf, + data_root=data_root, + ann_file=data_root + 'nuscenes_infos_temporal_val.pkl', + pipeline=test_pipeline, bev_size=(bev_h_, bev_w_), + classes=class_names, modality=input_modality), + shuffler_sampler=dict(type='DistributedGroupSampler'), + nonshuffler_sampler=dict(type='DistributedSampler') +) + +optimizer = dict( + type='AdamW', + lr=1e-4, + paramwise_cfg=dict( + custom_keys={ + 'img_backbone': dict(lr_mult=0.1), + }), + weight_decay=0.01) + +optimizer_config = dict(grad_clip=dict(max_norm=35, norm_type=2)) +# learning policy +lr_config = dict( + policy='CosineAnnealing', + warmup='linear', + warmup_iters=500, + warmup_ratio=1.0 / 3, + min_lr_ratio=1e-3) +total_epochs = 24 +evaluation = dict(interval=1, pipeline=test_pipeline) + +runner = dict(type='EpochBasedRunner', max_epochs=total_epochs) +load_from = 'ckpts/r101_dcn_fcos3d_pretrain.pth' +log_config = dict( + interval=50, + hooks=[ + dict(type='TextLoggerHook'), + dict(type='TensorboardLoggerHook') + ]) + +#find_unused_parameters = True +checkpoint_config = dict(interval=1) diff --git a/projects/configs/bevformer/bevformer_small_seg_det.py b/projects/configs/bevformer/bevformer_small_seg_det.py new file mode 100644 index 0000000..7e56a9c --- /dev/null +++ b/projects/configs/bevformer/bevformer_small_seg_det.py @@ -0,0 +1,303 @@ +# BEvFormer-small consumes at lease 10500M GPU memory +# compared to bevformer_base, bevformer_small has +# smaller BEV: 200*200 -> 150*150 +# less encoder layers: 6 -> 3 +# smaller input size: 1600*900 -> (1600*900)*0.8 +# multi-scale feautres -> single scale features (C5) +# with_cp of backbone = True + +_base_ = [ + '../datasets/custom_nus-3d.py', + '../_base_/default_runtime.py' +] +# +plugin = True +plugin_dir = 'projects/mmdet3d_plugin/' + +# If point cloud range is changed, the models should also change their point +# cloud range accordingly +point_cloud_range = [-51.2, -51.2, -5.0, 51.2, 51.2, 3.0] +voxel_size = [0.2, 0.2, 8] + +det_grid_conf = { + 'xbound': [-51.2, 51.2, 0.68], + 'ybound': [-51.2, 51.2, 0.68], + 'zbound': [-10.0, 10.0, 20.0], + 'dbound': [1.0, 60.0, 1.0], +} + +map_grid_conf = { + 'xbound': [-30.0, 30.0, 0.15], + 'ybound': [-15.0, 15.0, 0.15], + 'zbound': [-10.0, 10.0, 20.0], + 'dbound': [1.0, 60.0, 1.0], +} + +grid_conf = map_grid_conf + +img_norm_cfg = dict( + mean=[103.530, 116.280, 123.675], std=[1.0, 1.0, 1.0], to_rgb=False) +# For nuScenes we usually do 10-class detection +class_names = [ + 'car', 'truck', 'construction_vehicle', 'bus', 'trailer', 'barrier', + 'motorcycle', 'bicycle', 'pedestrian', 'traffic_cone' +] + +input_modality = dict( + use_lidar=False, + use_camera=True, + use_radar=False, + use_map=False, + use_external=True) + +_dim_ = 256 +_pos_dim_ = _dim_//2 +_ffn_dim_ = _dim_*2 +_num_levels_ = 1 +bev_h_ = 150 +bev_w_ = 150 +queue_length = 3 # each sequence contains `queue_length` frames. + +model = dict( + type='BEVFormer', + use_grid_mask=True, + video_test_mode=True, + img_backbone=dict( + type='ResNet', + depth=101, + num_stages=4, + out_indices=(3,), + frozen_stages=1, + norm_cfg=dict(type='BN2d', requires_grad=False), + norm_eval=True, + style='caffe', + with_cp=True, # using checkpoint to save GPU memory + dcn=dict(type='DCNv2', deform_groups=1, fallback_on_stride=False), # original DCNv2 will print log when perform load_state_dict + stage_with_dcn=(False, False, True, True)), + img_neck=dict( + type='FPN', + in_channels=[2048], + out_channels=_dim_, + start_level=0, + add_extra_convs='on_output', + num_outs=_num_levels_, + relu_before_extra_convs=True), + pts_bbox_head=dict( + type='BEVFormerHead', + bev_h=bev_h_, + bev_w=bev_w_, + num_query=900, + num_classes=10, + in_channels=_dim_, + sync_cls_avg_factor=True, + with_box_refine=True, + as_two_stage=False, + task=dict(seg=True, + det=True), + det_grid_conf=det_grid_conf, + map_grid_conf=map_grid_conf, + seg_encoder=dict( + type='SegEncode', + inC=256, + outC=4), + loss_seg=dict( + type='CrossEntropyLoss', + use_sigmoid=False, + loss_weight=3.0, + class_weight=[0.3, 2.0, 2.0, 2.0]), + transformer=dict( + type='PerceptionTransformer', + rotate_prev_bev=True, + use_shift=True, + use_can_bus=True, + embed_dims=_dim_, + encoder=dict( + type='BEVFormerEncoder', + num_layers=3, + pc_range=point_cloud_range, + num_points_in_pillar=4, + return_intermediate=False, + transformerlayers=dict( + type='BEVFormerLayer', + attn_cfgs=[ + dict( + type='TemporalSelfAttention', + embed_dims=_dim_, + num_levels=1), + dict( + type='SpatialCrossAttention', + pc_range=point_cloud_range, + deformable_attention=dict( + type='MSDeformableAttention3D', + embed_dims=_dim_, + num_points=8, + num_levels=_num_levels_), + embed_dims=_dim_, + ) + ], + feedforward_channels=_ffn_dim_, + ffn_dropout=0.1, + operation_order=('self_attn', 'norm', 'cross_attn', 'norm', + 'ffn', 'norm'))), + decoder=dict( + type='DetectionTransformerDecoder', + num_layers=6, + return_intermediate=True, + transformerlayers=dict( + type='DetrTransformerDecoderLayer', + attn_cfgs=[ + dict( + type='MultiheadAttention', + embed_dims=_dim_, + num_heads=8, + dropout=0.1), + dict( + type='CustomMSDeformableAttention', + embed_dims=_dim_, + num_levels=1), + ], + + feedforward_channels=_ffn_dim_, + ffn_dropout=0.1, + operation_order=('self_attn', 'norm', 'cross_attn', 'norm', + 'ffn', 'norm')))), + bbox_coder=dict( + type='NMSFreeCoder', + post_center_range=[-61.2, -61.2, -10.0, 61.2, 61.2, 10.0], + pc_range=point_cloud_range, + max_num=300, + voxel_size=voxel_size, + num_classes=10), + positional_encoding=dict( + type='LearnedPositionalEncoding', + num_feats=_pos_dim_, + row_num_embed=bev_h_, + col_num_embed=bev_w_, + ), + loss_cls=dict( + type='FocalLoss', + use_sigmoid=True, + gamma=2.0, + alpha=0.25, + loss_weight=2.0), + loss_bbox=dict(type='L1Loss', loss_weight=0.25), + loss_iou=dict(type='GIoULoss', loss_weight=0.0)), + # model training and testing settings + train_cfg=dict(pts=dict( + grid_size=[512, 512, 1], + voxel_size=voxel_size, + point_cloud_range=point_cloud_range, + out_size_factor=4, + assigner=dict( + type='HungarianAssigner3D', + cls_cost=dict(type='FocalLossCost', weight=2.0), + reg_cost=dict(type='BBox3DL1Cost', weight=0.25), + iou_cost=dict(type='IoUCost', weight=0.0), # Fake cost. This is just to make it compatible with DETR head. + pc_range=point_cloud_range)))) + +dataset_type = 'CustomNuScenesDataset' +data_root = 'data/nuscenes/' +file_client_args = dict(backend='disk') + + +train_pipeline = [ + dict(type='LoadMultiViewImageFromFiles', to_float32=True), + dict(type='PhotoMetricDistortionMultiViewImage'), + dict(type='LoadAnnotations3D', with_bbox_3d=True, with_label_3d=True, with_attr_label=False), + # convert map labels + dict(type='RasterizeMapVectors', map_grid_conf=map_grid_conf), + dict(type='ObjectRangeFilter', point_cloud_range=point_cloud_range), + dict(type='ObjectNameFilter', classes=class_names), + dict(type='NormalizeMultiviewImage', **img_norm_cfg), + dict(type='RandomScaleImageMultiViewImage', scales=[0.8]), + dict(type='PadMultiViewImage', size_divisor=32), + dict(type='DefaultFormatBundle3D', class_names=class_names), + dict(type='CustomCollect3D', keys=['gt_bboxes_3d', 'gt_labels_3d', 'img', 'semantic_indices']) +] + +test_pipeline = [ + dict(type='LoadMultiViewImageFromFiles', to_float32=True), + # convert map labels + dict(type='RasterizeMapVectors', map_grid_conf=map_grid_conf), + dict(type='NormalizeMultiviewImage', **img_norm_cfg), + # dict(type='PadMultiViewImage', size_divisor=32), + dict( + type='MultiScaleFlipAug3D', + img_scale=(1600, 900), + pts_scale_ratio=1, + flip=False, + transforms=[ + dict(type='RandomScaleImageMultiViewImage', scales=[0.8]), + dict(type='PadMultiViewImage', size_divisor=32), + dict( + type='DefaultFormatBundle3D', + class_names=class_names, + with_label=False), + dict(type='CustomCollect3D', keys=['img', 'semantic_indices']) + ]) +] + +data = dict( + samples_per_gpu=1, + workers_per_gpu=4, + train=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'nuscenes_infos_temporal_train.pkl', + pipeline=train_pipeline, + classes=class_names, + modality=input_modality, + test_mode=False, + use_valid_flag=True, + grid_conf=grid_conf, + bev_size=(bev_h_, bev_w_), + queue_length=queue_length, + # we use box_type_3d='LiDAR' in kitti and nuscenes dataset + # and box_type_3d='Depth' in sunrgbd and scannet dataset. + box_type_3d='LiDAR'), + val=dict(type=dataset_type, + data_root=data_root, + grid_conf=grid_conf, + ann_file=data_root + 'nuscenes_infos_temporal_val.pkl', + pipeline=test_pipeline, bev_size=(bev_h_, bev_w_), + classes=class_names, modality=input_modality, samples_per_gpu=1), + test=dict(type=dataset_type, + grid_conf=grid_conf, + data_root=data_root, + ann_file=data_root + 'nuscenes_infos_temporal_val.pkl', + pipeline=test_pipeline, bev_size=(bev_h_, bev_w_), + classes=class_names, modality=input_modality), + shuffler_sampler=dict(type='DistributedGroupSampler'), + nonshuffler_sampler=dict(type='DistributedSampler') +) + +optimizer = dict( + type='AdamW', + lr=1e-4, + paramwise_cfg=dict( + custom_keys={ + 'img_backbone': dict(lr_mult=0.1), + }), + weight_decay=0.01) + +optimizer_config = dict(grad_clip=dict(max_norm=35, norm_type=2)) +# learning policy +lr_config = dict( + policy='CosineAnnealing', + warmup='linear', + warmup_iters=500, + warmup_ratio=1.0 / 3, + min_lr_ratio=1e-3) +total_epochs = 24 +evaluation = dict(interval=1, pipeline=test_pipeline) + +runner = dict(type='EpochBasedRunner', max_epochs=total_epochs) +load_from = 'ckpts/r101_dcn_fcos3d_pretrain.pth' +log_config = dict( + interval=50, + hooks=[ + dict(type='TextLoggerHook'), + dict(type='TensorboardLoggerHook') + ]) + +checkpoint_config = dict(interval=1) diff --git a/projects/configs/bevformer/bevformer_small_seg_det_300x300.py b/projects/configs/bevformer/bevformer_small_seg_det_300x300.py new file mode 100644 index 0000000..d89b818 --- /dev/null +++ b/projects/configs/bevformer/bevformer_small_seg_det_300x300.py @@ -0,0 +1,303 @@ +# BEvFormer-small consumes at lease 10500M GPU memory +# compared to bevformer_base, bevformer_small has +# smaller BEV: 200*200 -> 150*150 +# less encoder layers: 6 -> 3 +# smaller input size: 1600*900 -> (1600*900)*0.8 +# multi-scale feautres -> single scale features (C5) +# with_cp of backbone = True + +_base_ = [ + '../datasets/custom_nus-3d.py', + '../_base_/default_runtime.py' +] +# +plugin = True +plugin_dir = 'projects/mmdet3d_plugin/' + +# If point cloud range is changed, the models should also change their point +# cloud range accordingly +point_cloud_range = [-51.2, -51.2, -5.0, 51.2, 51.2, 3.0] +voxel_size = [0.2, 0.2, 8] + +det_grid_conf = { + 'xbound': [-51.2, 51.2, 0.34], + 'ybound': [-51.2, 51.2, 0.34], + 'zbound': [-10.0, 10.0, 20.0], + 'dbound': [1.0, 60.0, 1.0], +} + +map_grid_conf = { + 'xbound': [-30.0, 30.0, 0.15], + 'ybound': [-15.0, 15.0, 0.15], + 'zbound': [-10.0, 10.0, 20.0], + 'dbound': [1.0, 60.0, 1.0], +} + +grid_conf = map_grid_conf + +img_norm_cfg = dict( + mean=[103.530, 116.280, 123.675], std=[1.0, 1.0, 1.0], to_rgb=False) +# For nuScenes we usually do 10-class detection +class_names = [ + 'car', 'truck', 'construction_vehicle', 'bus', 'trailer', 'barrier', + 'motorcycle', 'bicycle', 'pedestrian', 'traffic_cone' +] + +input_modality = dict( + use_lidar=False, + use_camera=True, + use_radar=False, + use_map=False, + use_external=True) + +_dim_ = 256 +_pos_dim_ = _dim_//2 +_ffn_dim_ = _dim_*2 +_num_levels_ = 1 +bev_h_ = 300 +bev_w_ = 300 +queue_length = 3 # each sequence contains `queue_length` frames. + +model = dict( + type='BEVFormer', + use_grid_mask=True, + video_test_mode=True, + img_backbone=dict( + type='ResNet', + depth=101, + num_stages=4, + out_indices=(3,), + frozen_stages=1, + norm_cfg=dict(type='BN2d', requires_grad=False), + norm_eval=True, + style='caffe', + with_cp=True, # using checkpoint to save GPU memory + dcn=dict(type='DCNv2', deform_groups=1, fallback_on_stride=False), # original DCNv2 will print log when perform load_state_dict + stage_with_dcn=(False, False, True, True)), + img_neck=dict( + type='FPN', + in_channels=[2048], + out_channels=_dim_, + start_level=0, + add_extra_convs='on_output', + num_outs=_num_levels_, + relu_before_extra_convs=True), + pts_bbox_head=dict( + type='BEVFormerHead', + bev_h=bev_h_, + bev_w=bev_w_, + num_query=900, + num_classes=10, + in_channels=_dim_, + sync_cls_avg_factor=True, + with_box_refine=True, + as_two_stage=False, + task=dict(seg=True, + det=True), + det_grid_conf=det_grid_conf, + map_grid_conf=map_grid_conf, + seg_encoder=dict( + type='SegEncode', + inC=256, + outC=4), + loss_seg=dict( + type='CrossEntropyLoss', + use_sigmoid=False, + loss_weight=3.0, + class_weight=[0.3, 2.0, 2.0, 2.0]), + transformer=dict( + type='PerceptionTransformer', + rotate_prev_bev=True, + use_shift=True, + use_can_bus=True, + embed_dims=_dim_, + encoder=dict( + type='BEVFormerEncoder', + num_layers=3, + pc_range=point_cloud_range, + num_points_in_pillar=4, + return_intermediate=False, + transformerlayers=dict( + type='BEVFormerLayer', + attn_cfgs=[ + dict( + type='TemporalSelfAttention', + embed_dims=_dim_, + num_levels=1), + dict( + type='SpatialCrossAttention', + pc_range=point_cloud_range, + deformable_attention=dict( + type='MSDeformableAttention3D', + embed_dims=_dim_, + num_points=8, + num_levels=_num_levels_), + embed_dims=_dim_, + ) + ], + feedforward_channels=_ffn_dim_, + ffn_dropout=0.1, + operation_order=('self_attn', 'norm', 'cross_attn', 'norm', + 'ffn', 'norm'))), + decoder=dict( + type='DetectionTransformerDecoder', + num_layers=6, + return_intermediate=True, + transformerlayers=dict( + type='DetrTransformerDecoderLayer', + attn_cfgs=[ + dict( + type='MultiheadAttention', + embed_dims=_dim_, + num_heads=8, + dropout=0.1), + dict( + type='CustomMSDeformableAttention', + embed_dims=_dim_, + num_levels=1), + ], + + feedforward_channels=_ffn_dim_, + ffn_dropout=0.1, + operation_order=('self_attn', 'norm', 'cross_attn', 'norm', + 'ffn', 'norm')))), + bbox_coder=dict( + type='NMSFreeCoder', + post_center_range=[-61.2, -61.2, -10.0, 61.2, 61.2, 10.0], + pc_range=point_cloud_range, + max_num=300, + voxel_size=voxel_size, + num_classes=10), + positional_encoding=dict( + type='LearnedPositionalEncoding', + num_feats=_pos_dim_, + row_num_embed=bev_h_, + col_num_embed=bev_w_, + ), + loss_cls=dict( + type='FocalLoss', + use_sigmoid=True, + gamma=2.0, + alpha=0.25, + loss_weight=2.0), + loss_bbox=dict(type='L1Loss', loss_weight=0.25), + loss_iou=dict(type='GIoULoss', loss_weight=0.0)), + # model training and testing settings + train_cfg=dict(pts=dict( + grid_size=[512, 512, 1], + voxel_size=voxel_size, + point_cloud_range=point_cloud_range, + out_size_factor=4, + assigner=dict( + type='HungarianAssigner3D', + cls_cost=dict(type='FocalLossCost', weight=2.0), + reg_cost=dict(type='BBox3DL1Cost', weight=0.25), + iou_cost=dict(type='IoUCost', weight=0.0), # Fake cost. This is just to make it compatible with DETR head. + pc_range=point_cloud_range)))) + +dataset_type = 'CustomNuScenesDataset' +data_root = 'data/nuscenes/' +file_client_args = dict(backend='disk') + + +train_pipeline = [ + dict(type='LoadMultiViewImageFromFiles', to_float32=True), + dict(type='PhotoMetricDistortionMultiViewImage'), + dict(type='LoadAnnotations3D', with_bbox_3d=True, with_label_3d=True, with_attr_label=False), + # convert map labels + dict(type='RasterizeMapVectors', map_grid_conf=map_grid_conf), + dict(type='ObjectRangeFilter', point_cloud_range=point_cloud_range), + dict(type='ObjectNameFilter', classes=class_names), + dict(type='NormalizeMultiviewImage', **img_norm_cfg), + dict(type='RandomScaleImageMultiViewImage', scales=[0.8]), + dict(type='PadMultiViewImage', size_divisor=32), + dict(type='DefaultFormatBundle3D', class_names=class_names), + dict(type='CustomCollect3D', keys=['gt_bboxes_3d', 'gt_labels_3d', 'img', 'semantic_indices']) +] + +test_pipeline = [ + dict(type='LoadMultiViewImageFromFiles', to_float32=True), + # convert map labels + dict(type='RasterizeMapVectors', map_grid_conf=map_grid_conf), + dict(type='NormalizeMultiviewImage', **img_norm_cfg), + # dict(type='PadMultiViewImage', size_divisor=32), + dict( + type='MultiScaleFlipAug3D', + img_scale=(1600, 900), + pts_scale_ratio=1, + flip=False, + transforms=[ + dict(type='RandomScaleImageMultiViewImage', scales=[0.8]), + dict(type='PadMultiViewImage', size_divisor=32), + dict( + type='DefaultFormatBundle3D', + class_names=class_names, + with_label=False), + dict(type='CustomCollect3D', keys=['img', 'semantic_indices']) + ]) +] + +data = dict( + samples_per_gpu=1, + workers_per_gpu=4, + train=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'nuscenes_infos_temporal_train.pkl', + pipeline=train_pipeline, + classes=class_names, + modality=input_modality, + test_mode=False, + use_valid_flag=True, + grid_conf=grid_conf, + bev_size=(bev_h_, bev_w_), + queue_length=queue_length, + # we use box_type_3d='LiDAR' in kitti and nuscenes dataset + # and box_type_3d='Depth' in sunrgbd and scannet dataset. + box_type_3d='LiDAR'), + val=dict(type=dataset_type, + data_root=data_root, + grid_conf=grid_conf, + ann_file=data_root + 'nuscenes_infos_temporal_val.pkl', + pipeline=test_pipeline, bev_size=(bev_h_, bev_w_), + classes=class_names, modality=input_modality, samples_per_gpu=1), + test=dict(type=dataset_type, + grid_conf=grid_conf, + data_root=data_root, + ann_file=data_root + 'nuscenes_infos_temporal_val.pkl', + pipeline=test_pipeline, bev_size=(bev_h_, bev_w_), + classes=class_names, modality=input_modality), + shuffler_sampler=dict(type='DistributedGroupSampler'), + nonshuffler_sampler=dict(type='DistributedSampler') +) + +optimizer = dict( + type='AdamW', + lr=1e-4, + paramwise_cfg=dict( + custom_keys={ + 'img_backbone': dict(lr_mult=0.1), + }), + weight_decay=0.01) + +optimizer_config = dict(grad_clip=dict(max_norm=35, norm_type=2)) +# learning policy +lr_config = dict( + policy='CosineAnnealing', + warmup='linear', + warmup_iters=500, + warmup_ratio=1.0 / 3, + min_lr_ratio=1e-3) +total_epochs = 24 +evaluation = dict(interval=1, pipeline=test_pipeline) + +runner = dict(type='EpochBasedRunner', max_epochs=total_epochs) +load_from = 'ckpts/epoch_19.pth' +log_config = dict( + interval=50, + hooks=[ + dict(type='TextLoggerHook'), + dict(type='TensorboardLoggerHook') + ]) + +checkpoint_config = dict(interval=1) diff --git a/projects/configs/bevformer/bevformer_tiny.py b/projects/configs/bevformer/bevformer_tiny.py new file mode 100644 index 0000000..30270da --- /dev/null +++ b/projects/configs/bevformer/bevformer_tiny.py @@ -0,0 +1,270 @@ +# BEvFormer-tiny consumes at lease 6700M GPU memory +# compared to bevformer_base, bevformer_tiny has +# smaller backbone: R101-DCN -> R50 +# smaller BEV: 200*200 -> 50*50 +# less encoder layers: 6 -> 3 +# smaller input size: 1600*900 -> 800*450 +# multi-scale feautres -> single scale features (C5) + + +_base_ = [ + '../datasets/custom_nus-3d.py', + '../_base_/default_runtime.py' +] +# +plugin = True +plugin_dir = 'projects/mmdet3d_plugin/' + +# If point cloud range is changed, the models should also change their point +# cloud range accordingly +point_cloud_range = [-51.2, -51.2, -5.0, 51.2, 51.2, 3.0] +voxel_size = [0.2, 0.2, 8] + + + + +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) + +# For nuScenes we usually do 10-class detection +class_names = [ + 'car', 'truck', 'construction_vehicle', 'bus', 'trailer', 'barrier', + 'motorcycle', 'bicycle', 'pedestrian', 'traffic_cone' +] + +input_modality = dict( + use_lidar=False, + use_camera=True, + use_radar=False, + use_map=False, + use_external=True) + +_dim_ = 256 +_pos_dim_ = _dim_//2 +_ffn_dim_ = _dim_*2 +_num_levels_ = 1 +bev_h_ = 50 +bev_w_ = 50 +queue_length = 3 # each sequence contains `queue_length` frames. + +model = dict( + type='BEVFormer', + use_grid_mask=True, + video_test_mode=True, + pretrained=dict(img='torchvision://resnet50'), + img_backbone=dict( + type='ResNet', + depth=50, + num_stages=4, + out_indices=(3,), + frozen_stages=1, + norm_cfg=dict(type='BN', requires_grad=False), + norm_eval=True, + style='pytorch'), + img_neck=dict( + type='FPN', + in_channels=[2048], + out_channels=_dim_, + start_level=0, + add_extra_convs='on_output', + num_outs=_num_levels_, + relu_before_extra_convs=True), + pts_bbox_head=dict( + type='BEVFormerHead', + bev_h=bev_h_, + bev_w=bev_w_, + num_query=900, + num_classes=10, + in_channels=_dim_, + sync_cls_avg_factor=True, + with_box_refine=True, + as_two_stage=False, + transformer=dict( + type='PerceptionTransformer', + rotate_prev_bev=True, + use_shift=True, + use_can_bus=True, + embed_dims=_dim_, + encoder=dict( + type='BEVFormerEncoder', + num_layers=3, + pc_range=point_cloud_range, + num_points_in_pillar=4, + return_intermediate=False, + transformerlayers=dict( + type='BEVFormerLayer', + attn_cfgs=[ + dict( + type='TemporalSelfAttention', + embed_dims=_dim_, + num_levels=1), + dict( + type='SpatialCrossAttention', + pc_range=point_cloud_range, + deformable_attention=dict( + type='MSDeformableAttention3D', + embed_dims=_dim_, + num_points=8, + num_levels=_num_levels_), + embed_dims=_dim_, + ) + ], + feedforward_channels=_ffn_dim_, + ffn_dropout=0.1, + operation_order=('self_attn', 'norm', 'cross_attn', 'norm', + 'ffn', 'norm'))), + decoder=dict( + type='DetectionTransformerDecoder', + num_layers=6, + return_intermediate=True, + transformerlayers=dict( + type='DetrTransformerDecoderLayer', + attn_cfgs=[ + dict( + type='MultiheadAttention', + embed_dims=_dim_, + num_heads=8, + dropout=0.1), + dict( + type='CustomMSDeformableAttention', + embed_dims=_dim_, + num_levels=1), + ], + + feedforward_channels=_ffn_dim_, + ffn_dropout=0.1, + operation_order=('self_attn', 'norm', 'cross_attn', 'norm', + 'ffn', 'norm')))), + bbox_coder=dict( + type='NMSFreeCoder', + post_center_range=[-61.2, -61.2, -10.0, 61.2, 61.2, 10.0], + pc_range=point_cloud_range, + max_num=300, + voxel_size=voxel_size, + num_classes=10), + positional_encoding=dict( + type='LearnedPositionalEncoding', + num_feats=_pos_dim_, + row_num_embed=bev_h_, + col_num_embed=bev_w_, + ), + loss_cls=dict( + type='FocalLoss', + use_sigmoid=True, + gamma=2.0, + alpha=0.25, + loss_weight=2.0), + loss_bbox=dict(type='L1Loss', loss_weight=0.25), + loss_iou=dict(type='GIoULoss', loss_weight=0.0)), + # model training and testing settings + train_cfg=dict(pts=dict( + grid_size=[512, 512, 1], + voxel_size=voxel_size, + point_cloud_range=point_cloud_range, + out_size_factor=4, + assigner=dict( + type='HungarianAssigner3D', + cls_cost=dict(type='FocalLossCost', weight=2.0), + reg_cost=dict(type='BBox3DL1Cost', weight=0.25), + iou_cost=dict(type='IoUCost', weight=0.0), # Fake cost. This is just to make it compatible with DETR head. + pc_range=point_cloud_range)))) + +dataset_type = 'CustomNuScenesDataset' +data_root = 'data/nuscenes/' +file_client_args = dict(backend='disk') + + +train_pipeline = [ + dict(type='LoadMultiViewImageFromFiles', to_float32=True), + dict(type='PhotoMetricDistortionMultiViewImage'), + dict(type='LoadAnnotations3D', with_bbox_3d=True, with_label_3d=True, with_attr_label=False), + dict(type='ObjectRangeFilter', point_cloud_range=point_cloud_range), + dict(type='ObjectNameFilter', classes=class_names), + dict(type='NormalizeMultiviewImage', **img_norm_cfg), + dict(type='RandomScaleImageMultiViewImage', scales=[0.5]), + dict(type='PadMultiViewImage', size_divisor=32), + dict(type='DefaultFormatBundle3D', class_names=class_names), + dict(type='CustomCollect3D', keys=['gt_bboxes_3d', 'gt_labels_3d', 'img']) +] + +test_pipeline = [ + dict(type='LoadMultiViewImageFromFiles', to_float32=True), + dict(type='NormalizeMultiviewImage', **img_norm_cfg), + + dict( + type='MultiScaleFlipAug3D', + img_scale=(1600, 900), + pts_scale_ratio=1, + flip=False, + transforms=[ + dict(type='RandomScaleImageMultiViewImage', scales=[0.5]), + dict(type='PadMultiViewImage', size_divisor=32), + dict( + type='DefaultFormatBundle3D', + class_names=class_names, + with_label=False), + dict(type='CustomCollect3D', keys=['img']) + ]) +] + +data = dict( + samples_per_gpu=2, + workers_per_gpu=4, + train=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'nuscenes_infos_temporal_train.pkl', + pipeline=train_pipeline, + classes=class_names, + modality=input_modality, + test_mode=False, + use_valid_flag=True, + bev_size=(bev_h_, bev_w_), + queue_length=queue_length, + # we use box_type_3d='LiDAR' in kitti and nuscenes dataset + # and box_type_3d='Depth' in sunrgbd and scannet dataset. + box_type_3d='LiDAR'), + val=dict(type=dataset_type, + data_root=data_root, + ann_file=data_root + 'nuscenes_infos_temporal_val.pkl', + pipeline=test_pipeline, bev_size=(bev_h_, bev_w_), + classes=class_names, modality=input_modality, samples_per_gpu=1), + test=dict(type=dataset_type, + data_root=data_root, + ann_file=data_root + 'nuscenes_infos_temporal_val.pkl', + pipeline=test_pipeline, bev_size=(bev_h_, bev_w_), + classes=class_names, modality=input_modality), + shuffler_sampler=dict(type='DistributedGroupSampler'), + nonshuffler_sampler=dict(type='DistributedSampler') +) + +optimizer = dict( + type='AdamW', + lr=2e-4, + paramwise_cfg=dict( + custom_keys={ + 'img_backbone': dict(lr_mult=0.1), + }), + weight_decay=0.01) + +optimizer_config = dict(grad_clip=dict(max_norm=35, norm_type=2)) +# learning policy +lr_config = dict( + policy='CosineAnnealing', + warmup='linear', + warmup_iters=500, + warmup_ratio=1.0 / 3, + min_lr_ratio=1e-3) +total_epochs = 24 +evaluation = dict(interval=1, pipeline=test_pipeline) + +runner = dict(type='EpochBasedRunner', max_epochs=total_epochs) + +log_config = dict( + interval=50, + hooks=[ + dict(type='TextLoggerHook'), + dict(type='TensorboardLoggerHook') + ]) + +checkpoint_config = dict(interval=1) diff --git a/projects/configs/bevformer_fp16/bevformer_small_seg_det_fp16.py b/projects/configs/bevformer_fp16/bevformer_small_seg_det_fp16.py new file mode 100644 index 0000000..e8d7750 --- /dev/null +++ b/projects/configs/bevformer_fp16/bevformer_small_seg_det_fp16.py @@ -0,0 +1,305 @@ +# BEvFormer-small consumes at lease 10500M GPU memory +# compared to bevformer_base, bevformer_small has +# smaller BEV: 200*200 -> 150*150 +# less encoder layers: 6 -> 3 +# smaller input size: 1600*900 -> (1600*900)*0.8 +# multi-scale feautres -> single scale features (C5) +# with_cp of backbone = True + +_base_ = [ + '../datasets/custom_nus-3d.py', + '../_base_/default_runtime.py' +] +# +plugin = True +plugin_dir = 'projects/mmdet3d_plugin/' + +# If point cloud range is changed, the models should also change their point +# cloud range accordingly +point_cloud_range = [-51.2, -51.2, -5.0, 51.2, 51.2, 3.0] +voxel_size = [0.2, 0.2, 8] + +det_grid_conf = { + 'xbound': [-51.2, 51.2, 0.68], + 'ybound': [-51.2, 51.2, 0.68], + 'zbound': [-10.0, 10.0, 20.0], + 'dbound': [1.0, 60.0, 1.0], +} + +map_grid_conf = { + 'xbound': [-30.0, 30.0, 0.15], + 'ybound': [-15.0, 15.0, 0.15], + 'zbound': [-10.0, 10.0, 20.0], + 'dbound': [1.0, 60.0, 1.0], +} + +grid_conf = map_grid_conf + +img_norm_cfg = dict( + mean=[103.530, 116.280, 123.675], std=[1.0, 1.0, 1.0], to_rgb=False) +# For nuScenes we usually do 10-class detection +class_names = [ + 'car', 'truck', 'construction_vehicle', 'bus', 'trailer', 'barrier', + 'motorcycle', 'bicycle', 'pedestrian', 'traffic_cone' +] + +input_modality = dict( + use_lidar=False, + use_camera=True, + use_radar=False, + use_map=False, + use_external=True) + +_dim_ = 256 +_pos_dim_ = _dim_//2 +_ffn_dim_ = _dim_*2 +_num_levels_ = 1 +bev_h_ = 150 +bev_w_ = 150 +queue_length = 3 # each sequence contains `queue_length` frames. + +model = dict( + type='BEVFormer_fp16', + use_grid_mask=True, + video_test_mode=True, + img_backbone=dict( + type='ResNet', + depth=101, + num_stages=4, + out_indices=(3,), + frozen_stages=1, + norm_cfg=dict(type='BN2d', requires_grad=False), + norm_eval=True, + style='caffe', + with_cp=True, # using checkpoint to save GPU memory + dcn=dict(type='DCNv2', deform_groups=1, fallback_on_stride=False), # original DCNv2 will print log when perform load_state_dict + stage_with_dcn=(False, False, True, True)), + img_neck=dict( + type='FPN', + in_channels=[2048], + out_channels=_dim_, + start_level=0, + add_extra_convs='on_output', + num_outs=_num_levels_, + relu_before_extra_convs=True), + pts_bbox_head=dict( + type='BEVFormerHead', + bev_h=bev_h_, + bev_w=bev_w_, + num_query=900, + num_classes=10, + in_channels=_dim_, + sync_cls_avg_factor=True, + with_box_refine=True, + as_two_stage=False, + task={'seg':True, + 'det':True}, + det_grid_conf=det_grid_conf, + map_grid_conf=map_grid_conf, + seg_encoder=dict( + type='SegEncode', + inC=256, + outC=4), + loss_seg=dict( + type='CrossEntropyLoss', + use_sigmoid=False, + loss_weight=3.0, + class_weight=[0.3, 2.0, 2.0, 2.0]), + transformer=dict( + type='PerceptionTransformer', + rotate_prev_bev=True, + use_shift=True, + use_can_bus=True, + embed_dims=_dim_, + encoder=dict( + type='BEVFormerEncoder', + num_layers=3, + pc_range=point_cloud_range, + num_points_in_pillar=4, + return_intermediate=False, + transformerlayers=dict( + type='BEVFormerLayer', + attn_cfgs=[ + dict( + type='TemporalSelfAttention', + embed_dims=_dim_, + num_levels=1), + dict( + type='SpatialCrossAttention', + pc_range=point_cloud_range, + deformable_attention=dict( + type='MSDeformableAttention3D', + embed_dims=_dim_, + num_points=8, + num_levels=_num_levels_), + embed_dims=_dim_, + ) + ], + feedforward_channels=_ffn_dim_, + ffn_dropout=0.1, + operation_order=('self_attn', 'norm', 'cross_attn', 'norm', + 'ffn', 'norm'))), + decoder=dict( + type='DetectionTransformerDecoder', + num_layers=6, + return_intermediate=True, + transformerlayers=dict( + type='DetrTransformerDecoderLayer', + attn_cfgs=[ + dict( + type='MultiheadAttention', + embed_dims=_dim_, + num_heads=8, + dropout=0.1), + dict( + type='CustomMSDeformableAttention', + embed_dims=_dim_, + num_levels=1), + ], + + feedforward_channels=_ffn_dim_, + ffn_dropout=0.1, + operation_order=('self_attn', 'norm', 'cross_attn', 'norm', + 'ffn', 'norm')))), + bbox_coder=dict( + type='NMSFreeCoder', + post_center_range=[-61.2, -61.2, -10.0, 61.2, 61.2, 10.0], + pc_range=point_cloud_range, + max_num=300, + voxel_size=voxel_size, + num_classes=10), + positional_encoding=dict( + type='LearnedPositionalEncoding', + num_feats=_pos_dim_, + row_num_embed=bev_h_, + col_num_embed=bev_w_, + ), + loss_cls=dict( + type='FocalLoss', + use_sigmoid=True, + gamma=2.0, + alpha=0.25, + loss_weight=2.0), + loss_bbox=dict(type='L1Loss', loss_weight=0.25), + loss_iou=dict(type='GIoULoss', loss_weight=0.0)), + # model training and testing settings + train_cfg=dict(pts=dict( + grid_size=[512, 512, 1], + voxel_size=voxel_size, + point_cloud_range=point_cloud_range, + out_size_factor=4, + assigner=dict( + type='HungarianAssigner3D', + cls_cost=dict(type='FocalLossCost', weight=2.0), + reg_cost=dict(type='BBox3DL1Cost', weight=0.25), + iou_cost=dict(type='IoUCost', weight=0.0), # Fake cost. This is just to make it compatible with DETR head. + pc_range=point_cloud_range)))) + +dataset_type = 'CustomNuScenesDataset' +data_root = 'data/nuscenes/' +file_client_args = dict(backend='disk') + + +train_pipeline = [ + dict(type='LoadMultiViewImageFromFiles', to_float32=True), + dict(type='PhotoMetricDistortionMultiViewImage'), + dict(type='LoadAnnotations3D', with_bbox_3d=True, with_label_3d=True, with_attr_label=False), + # convert map labels + dict(type='RasterizeMapVectors', map_grid_conf=map_grid_conf), + dict(type='ObjectRangeFilter', point_cloud_range=point_cloud_range), + dict(type='ObjectNameFilter', classes=class_names), + dict(type='NormalizeMultiviewImage', **img_norm_cfg), + dict(type='RandomScaleImageMultiViewImage', scales=[0.8]), + dict(type='PadMultiViewImage', size_divisor=32), + dict(type='DefaultFormatBundle3D', class_names=class_names), + dict(type='CustomCollect3D', keys=['gt_bboxes_3d', 'gt_labels_3d', 'img', 'semantic_indices']) +] + +test_pipeline = [ + dict(type='LoadMultiViewImageFromFiles', to_float32=True), + # convert map labels + dict(type='RasterizeMapVectors', map_grid_conf=map_grid_conf), + dict(type='NormalizeMultiviewImage', **img_norm_cfg), + # dict(type='PadMultiViewImage', size_divisor=32), + dict( + type='MultiScaleFlipAug3D', + img_scale=(1600, 900), + pts_scale_ratio=1, + flip=False, + transforms=[ + dict(type='RandomScaleImageMultiViewImage', scales=[0.8]), + dict(type='PadMultiViewImage', size_divisor=32), + dict( + type='DefaultFormatBundle3D', + class_names=class_names, + with_label=False), + dict(type='CustomCollect3D', keys=['img', 'semantic_indices']) + ]) +] + +data = dict( + samples_per_gpu=1, + workers_per_gpu=4, + train=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'nuscenes_infos_temporal_train.pkl', + pipeline=train_pipeline, + classes=class_names, + modality=input_modality, + test_mode=False, + use_valid_flag=True, + grid_conf=grid_conf, + bev_size=(bev_h_, bev_w_), + queue_length=queue_length, + # we use box_type_3d='LiDAR' in kitti and nuscenes dataset + # and box_type_3d='Depth' in sunrgbd and scannet dataset. + box_type_3d='LiDAR'), + val=dict(type=dataset_type, + data_root=data_root, + grid_conf=grid_conf, + ann_file=data_root + 'nuscenes_infos_temporal_val.pkl', + pipeline=test_pipeline, bev_size=(bev_h_, bev_w_), + classes=class_names, modality=input_modality, samples_per_gpu=1), + test=dict(type=dataset_type, + grid_conf=grid_conf, + data_root=data_root, + ann_file=data_root + 'nuscenes_infos_temporal_val.pkl', + pipeline=test_pipeline, bev_size=(bev_h_, bev_w_), + classes=class_names, modality=input_modality), + shuffler_sampler=dict(type='DistributedGroupSampler'), + nonshuffler_sampler=dict(type='DistributedSampler') +) + +optimizer = dict( + type='AdamW', + lr=1e-4, + paramwise_cfg=dict( + custom_keys={ + 'img_backbone': dict(lr_mult=0.1), + }), + weight_decay=0.01) + +optimizer_config = dict(grad_clip=dict(max_norm=35, norm_type=2)) +# learning policy +lr_config = dict( + policy='CosineAnnealing', + warmup='linear', + warmup_iters=500, + warmup_ratio=1.0 / 3, + min_lr_ratio=1e-3) +total_epochs = 24 +evaluation = dict(interval=1, pipeline=test_pipeline) + +runner = dict(type='EpochBasedRunner_video', max_epochs=total_epochs) +load_from = 'ckpts/r101_dcn_fcos3d_pretrain.pth' +log_config = dict( + interval=50, + hooks=[ + dict(type='TextLoggerHook'), + dict(type='TensorboardLoggerHook') + ]) + +fp16 = dict(loss_scale=512.) +checkpoint_config = dict(interval=1) +custom_hooks = [dict(type='TransferWeight', priority='LOWEST')] \ No newline at end of file diff --git a/projects/configs/bevformer_fp16/bevformer_tiny_fp16.py b/projects/configs/bevformer_fp16/bevformer_tiny_fp16.py new file mode 100644 index 0000000..02486a1 --- /dev/null +++ b/projects/configs/bevformer_fp16/bevformer_tiny_fp16.py @@ -0,0 +1,272 @@ +# BEvFormer-tiny consumes at lease 6700M GPU memory +# compared to bevformer_base, bevformer_tiny has +# smaller backbone: R101-DCN -> R50 +# smaller BEV: 200*200 -> 50*50 +# less encoder layers: 6 -> 3 +# smaller input size: 1600*900 -> 800*450 +# multi-scale feautres -> single scale features (C5) + + +_base_ = [ + '../datasets/custom_nus-3d.py', + '../_base_/default_runtime.py' +] +# +plugin = True +plugin_dir = 'projects/mmdet3d_plugin/' + +# If point cloud range is changed, the models should also change their point +# cloud range accordingly +point_cloud_range = [-51.2, -51.2, -5.0, 51.2, 51.2, 3.0] +voxel_size = [0.2, 0.2, 8] + + + + +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) + +# For nuScenes we usually do 10-class detection +class_names = [ + 'car', 'truck', 'construction_vehicle', 'bus', 'trailer', 'barrier', + 'motorcycle', 'bicycle', 'pedestrian', 'traffic_cone' +] + +input_modality = dict( + use_lidar=False, + use_camera=True, + use_radar=False, + use_map=False, + use_external=True) + +_dim_ = 256 +_pos_dim_ = _dim_//2 +_ffn_dim_ = _dim_*2 +_num_levels_ = 1 +bev_h_ = 50 +bev_w_ = 50 +queue_length = 3 # each sequence contains `queue_length` frames. + +model = dict( + type='BEVFormer_fp16', + use_grid_mask=True, + video_test_mode=True, + pretrained=dict(img='torchvision://resnet50'), + img_backbone=dict( + type='ResNet', + depth=50, + num_stages=4, + out_indices=(3,), + frozen_stages=1, + norm_cfg=dict(type='BN', requires_grad=False), + norm_eval=True, + style='pytorch'), + img_neck=dict( + type='FPN', + in_channels=[2048], + out_channels=_dim_, + start_level=0, + add_extra_convs='on_output', + num_outs=_num_levels_, + relu_before_extra_convs=True), + pts_bbox_head=dict( + type='BEVFormerHead', + bev_h=bev_h_, + bev_w=bev_w_, + num_query=900, + num_classes=10, + in_channels=_dim_, + sync_cls_avg_factor=True, + with_box_refine=True, + as_two_stage=False, + transformer=dict( + type='PerceptionTransformer', + rotate_prev_bev=True, + use_shift=True, + use_can_bus=True, + embed_dims=_dim_, + encoder=dict( + type='BEVFormerEncoder', + num_layers=3, + pc_range=point_cloud_range, + num_points_in_pillar=4, + return_intermediate=False, + transformerlayers=dict( + type='BEVFormerLayer', + attn_cfgs=[ + dict( + type='TemporalSelfAttention', + embed_dims=_dim_, + num_levels=1), + dict( + type='SpatialCrossAttention', + pc_range=point_cloud_range, + deformable_attention=dict( + type='MSDeformableAttention3D', + embed_dims=_dim_, + num_points=8, + num_levels=_num_levels_), + embed_dims=_dim_, + ) + ], + feedforward_channels=_ffn_dim_, + ffn_dropout=0.1, + operation_order=('self_attn', 'norm', 'cross_attn', 'norm', + 'ffn', 'norm'))), + decoder=dict( + type='DetectionTransformerDecoder', + num_layers=6, + return_intermediate=True, + transformerlayers=dict( + type='DetrTransformerDecoderLayer', + attn_cfgs=[ + dict( + type='MultiheadAttention', + embed_dims=_dim_, + num_heads=8, + dropout=0.1), + dict( + type='CustomMSDeformableAttention', + embed_dims=_dim_, + num_levels=1), + ], + + feedforward_channels=_ffn_dim_, + ffn_dropout=0.1, + operation_order=('self_attn', 'norm', 'cross_attn', 'norm', + 'ffn', 'norm')))), + bbox_coder=dict( + type='NMSFreeCoder', + post_center_range=[-61.2, -61.2, -10.0, 61.2, 61.2, 10.0], + pc_range=point_cloud_range, + max_num=300, + voxel_size=voxel_size, + num_classes=10), + positional_encoding=dict( + type='LearnedPositionalEncoding', + num_feats=_pos_dim_, + row_num_embed=bev_h_, + col_num_embed=bev_w_, + ), + loss_cls=dict( + type='FocalLoss', + use_sigmoid=True, + gamma=2.0, + alpha=0.25, + loss_weight=2.0), + loss_bbox=dict(type='L1Loss', loss_weight=0.25), + loss_iou=dict(type='GIoULoss', loss_weight=0.0)), + # model training and testing settings + train_cfg=dict(pts=dict( + grid_size=[512, 512, 1], + voxel_size=voxel_size, + point_cloud_range=point_cloud_range, + out_size_factor=4, + assigner=dict( + type='HungarianAssigner3D', + cls_cost=dict(type='FocalLossCost', weight=2.0), + reg_cost=dict(type='BBox3DL1Cost', weight=0.25), + iou_cost=dict(type='IoUCost', weight=0.0), # Fake cost. This is just to make it compatible with DETR head. + pc_range=point_cloud_range)))) + +dataset_type = 'CustomNuScenesDataset' +data_root = 'data/nuscenes/' +file_client_args = dict(backend='disk') + + +train_pipeline = [ + dict(type='LoadMultiViewImageFromFiles', to_float32=True), + dict(type='PhotoMetricDistortionMultiViewImage'), + dict(type='LoadAnnotations3D', with_bbox_3d=True, with_label_3d=True, with_attr_label=False), + dict(type='ObjectRangeFilter', point_cloud_range=point_cloud_range), + dict(type='ObjectNameFilter', classes=class_names), + dict(type='NormalizeMultiviewImage', **img_norm_cfg), + dict(type='RandomScaleImageMultiViewImage', scales=[0.5]), + dict(type='PadMultiViewImage', size_divisor=32), + dict(type='DefaultFormatBundle3D', class_names=class_names), + dict(type='CustomCollect3D', keys=['gt_bboxes_3d', 'gt_labels_3d', 'img']) +] + +test_pipeline = [ + dict(type='LoadMultiViewImageFromFiles', to_float32=True), + dict(type='NormalizeMultiviewImage', **img_norm_cfg), + + dict( + type='MultiScaleFlipAug3D', + img_scale=(1600, 900), + pts_scale_ratio=1, + flip=False, + transforms=[ + dict(type='RandomScaleImageMultiViewImage', scales=[0.5]), + dict(type='PadMultiViewImage', size_divisor=32), + dict( + type='DefaultFormatBundle3D', + class_names=class_names, + with_label=False), + dict(type='CustomCollect3D', keys=['img']) + ]) +] + +data = dict( + samples_per_gpu=2, + workers_per_gpu=8, + train=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'nuscenes_infos_temporal_train.pkl', + pipeline=train_pipeline, + classes=class_names, + modality=input_modality, + test_mode=False, + use_valid_flag=True, + bev_size=(bev_h_, bev_w_), + queue_length=queue_length, + # we use box_type_3d='LiDAR' in kitti and nuscenes dataset + # and box_type_3d='Depth' in sunrgbd and scannet dataset. + box_type_3d='LiDAR'), + val=dict(type=dataset_type, + data_root=data_root, + ann_file=data_root + 'nuscenes_infos_temporal_val.pkl', + pipeline=test_pipeline, bev_size=(bev_h_, bev_w_), + classes=class_names, modality=input_modality, samples_per_gpu=1), + test=dict(type=dataset_type, + data_root=data_root, + ann_file=data_root + 'nuscenes_infos_temporal_val.pkl', + pipeline=test_pipeline, bev_size=(bev_h_, bev_w_), + classes=class_names, modality=input_modality), + shuffler_sampler=dict(type='DistributedGroupSampler'), + nonshuffler_sampler=dict(type='DistributedSampler') +) + +optimizer = dict( + type='AdamW', + lr=2.8e-4, + paramwise_cfg=dict( + custom_keys={ + 'img_backbone': dict(lr_mult=0.1), + }), + weight_decay=0.01) + +optimizer_config = dict(grad_clip=dict(max_norm=35, norm_type=2)) +# learning policy +lr_config = dict( + policy='CosineAnnealing', + warmup='linear', + warmup_iters=500, + warmup_ratio=1.0 / 3, + min_lr_ratio=1e-3) +total_epochs = 24 +evaluation = dict(interval=1, pipeline=test_pipeline) + +runner = dict(type='EpochBasedRunner_video', max_epochs=total_epochs) + +log_config = dict( + interval=50, + hooks=[ + dict(type='TextLoggerHook'), + dict(type='TensorboardLoggerHook') + ]) + +fp16 = dict(loss_scale=512.) +checkpoint_config = dict(interval=1) +custom_hooks = [dict(type='TransferWeight', priority='LOWEST')] \ No newline at end of file diff --git a/projects/configs/datasets/custom_lyft-3d.py b/projects/configs/datasets/custom_lyft-3d.py new file mode 100644 index 0000000..5a95d89 --- /dev/null +++ b/projects/configs/datasets/custom_lyft-3d.py @@ -0,0 +1,136 @@ +# If point cloud range is changed, the models should also change their point +# cloud range accordingly +point_cloud_range = [-80, -80, -5, 80, 80, 3] +# For Lyft we usually do 9-class detection +class_names = [ + 'car', 'truck', 'bus', 'emergency_vehicle', 'other_vehicle', 'motorcycle', + 'bicycle', 'pedestrian', 'animal' +] +dataset_type = 'CustomLyftDataset' +data_root = 'data/lyft/' +# Input modality for Lyft dataset, this is consistent with the submission +# format which requires the information in input_modality. +input_modality = dict( + use_lidar=True, + use_camera=False, + use_radar=False, + use_map=False, + use_external=True) +file_client_args = dict(backend='disk') +# Uncomment the following if use ceph or other file clients. +# See https://mmcv.readthedocs.io/en/latest/api.html#mmcv.fileio.FileClient +# for more details. +# file_client_args = dict( +# backend='petrel', +# path_mapping=dict({ +# './data/lyft/': 's3://lyft/lyft/', +# 'data/lyft/': 's3://lyft/lyft/' +# })) +train_pipeline = [ + dict( + type='LoadPointsFromFile', + coord_type='LIDAR', + load_dim=5, + use_dim=5, + file_client_args=file_client_args), + dict( + type='LoadPointsFromMultiSweeps', + sweeps_num=10, + file_client_args=file_client_args), + dict(type='LoadAnnotations3D', with_bbox_3d=True, with_label_3d=True), + dict( + type='GlobalRotScaleTrans', + rot_range=[-0.3925, 0.3925], + scale_ratio_range=[0.95, 1.05], + translation_std=[0, 0, 0]), + dict(type='RandomFlip3D', flip_ratio_bev_horizontal=0.5), + dict(type='PointsRangeFilter', point_cloud_range=point_cloud_range), + dict(type='ObjectRangeFilter', point_cloud_range=point_cloud_range), + dict(type='PointShuffle'), + dict(type='DefaultFormatBundle3D', class_names=class_names), + dict(type='Collect3D', keys=['points', 'gt_bboxes_3d', 'gt_labels_3d']) +] +test_pipeline = [ + dict( + type='LoadPointsFromFile', + coord_type='LIDAR', + load_dim=5, + use_dim=5, + file_client_args=file_client_args), + dict( + type='LoadPointsFromMultiSweeps', + sweeps_num=10, + file_client_args=file_client_args), + dict( + type='MultiScaleFlipAug3D', + img_scale=(1333, 800), + pts_scale_ratio=1, + flip=False, + transforms=[ + dict( + type='GlobalRotScaleTrans', + rot_range=[0, 0], + scale_ratio_range=[1., 1.], + translation_std=[0, 0, 0]), + dict(type='RandomFlip3D'), + dict( + type='PointsRangeFilter', point_cloud_range=point_cloud_range), + dict( + type='DefaultFormatBundle3D', + class_names=class_names, + with_label=False), + dict(type='Collect3D', keys=['points']) + ]) +] +# construct a pipeline for data and gt loading in show function +# please keep its loading function consistent with test_pipeline (e.g. client) +eval_pipeline = [ + dict( + type='LoadPointsFromFile', + coord_type='LIDAR', + load_dim=5, + use_dim=5, + file_client_args=file_client_args), + dict( + type='LoadPointsFromMultiSweeps', + sweeps_num=10, + file_client_args=file_client_args), + dict( + type='DefaultFormatBundle3D', + class_names=class_names, + with_label=False), + dict(type='Collect3D', keys=['points']) +] + +data = dict( + samples_per_gpu=2, + workers_per_gpu=2, + train=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'lyft_infos_train.pkl', + pipeline=train_pipeline, + classes=class_names, + modality=input_modality, + test_mode=False), + val=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'lyft_infos_val.pkl', + pipeline=test_pipeline, + classes=class_names, + modality=input_modality, + test_mode=True), + test=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'lyft_infos_val.pkl', + pipeline=test_pipeline, + classes=class_names, + modality=input_modality, + test_mode=True)) +# For Lyft dataset, we usually evaluate the model at the end of training. +# Since the models are trained by 24 epochs by default, we set evaluation +# interval to be 24. Please change the interval accordingly if you do not +# use a default schedule. +evaluation = dict(interval=24, pipeline=eval_pipeline) \ No newline at end of file diff --git a/projects/configs/datasets/custom_nus-3d.py b/projects/configs/datasets/custom_nus-3d.py new file mode 100644 index 0000000..af81f9b --- /dev/null +++ b/projects/configs/datasets/custom_nus-3d.py @@ -0,0 +1,141 @@ +# If point cloud range is changed, the models should also change their point +# cloud range accordingly +point_cloud_range = [-50, -50, -5, 50, 50, 3] +# For nuScenes we usually do 10-class detection +class_names = [ + 'car', 'truck', 'trailer', 'bus', 'construction_vehicle', 'bicycle', + 'motorcycle', 'pedestrian', 'traffic_cone', 'barrier' +] +dataset_type = 'NuScenesDataset_eval_modified' +data_root = 'data/nuscenes/' +# Input modality for nuScenes dataset, this is consistent with the submission +# format which requires the information in input_modality. +input_modality = dict( + use_lidar=True, + use_camera=False, + use_radar=False, + use_map=False, + use_external=False) +file_client_args = dict(backend='disk') +# Uncomment the following if use ceph or other file clients. +# See https://mmcv.readthedocs.io/en/latest/api.html#mmcv.fileio.FileClient +# for more details. +# file_client_args = dict( +# backend='petrel', +# path_mapping=dict({ +# './data/nuscenes/': 's3://nuscenes/nuscenes/', +# 'data/nuscenes/': 's3://nuscenes/nuscenes/' +# })) +train_pipeline = [ + dict( + type='LoadPointsFromFile', + coord_type='LIDAR', + load_dim=5, + use_dim=5, + file_client_args=file_client_args), + dict( + type='LoadPointsFromMultiSweeps', + sweeps_num=10, + file_client_args=file_client_args), + dict(type='LoadAnnotations3D', with_bbox_3d=True, with_label_3d=True), + dict( + type='GlobalRotScaleTrans', + rot_range=[-0.3925, 0.3925], + scale_ratio_range=[0.95, 1.05], + translation_std=[0, 0, 0]), + dict(type='RandomFlip3D', flip_ratio_bev_horizontal=0.5), + dict(type='PointsRangeFilter', point_cloud_range=point_cloud_range), + dict(type='ObjectRangeFilter', point_cloud_range=point_cloud_range), + dict(type='ObjectNameFilter', classes=class_names), + dict(type='PointShuffle'), + dict(type='DefaultFormatBundle3D', class_names=class_names), + dict(type='Collect3D', keys=['points', 'gt_bboxes_3d', 'gt_labels_3d']) +] +test_pipeline = [ + dict( + type='LoadPointsFromFile', + coord_type='LIDAR', + load_dim=5, + use_dim=5, + file_client_args=file_client_args), + dict( + type='LoadPointsFromMultiSweeps', + sweeps_num=10, + file_client_args=file_client_args), + dict( + type='MultiScaleFlipAug3D', + img_scale=(1333, 800), + pts_scale_ratio=1, + flip=False, + transforms=[ + dict( + type='GlobalRotScaleTrans', + rot_range=[0, 0], + scale_ratio_range=[1., 1.], + translation_std=[0, 0, 0]), + dict(type='RandomFlip3D'), + dict( + type='PointsRangeFilter', point_cloud_range=point_cloud_range), + dict( + type='DefaultFormatBundle3D', + class_names=class_names, + with_label=False), + dict(type='Collect3D', keys=['points']) + ]) +] +# construct a pipeline for data and gt loading in show function +# please keep its loading function consistent with test_pipeline (e.g. client) +eval_pipeline = [ + dict( + type='LoadPointsFromFile', + coord_type='LIDAR', + load_dim=5, + use_dim=5, + file_client_args=file_client_args), + dict( + type='LoadPointsFromMultiSweeps', + sweeps_num=10, + file_client_args=file_client_args), + dict( + type='DefaultFormatBundle3D', + class_names=class_names, + with_label=False), + dict(type='Collect3D', keys=['points']) +] + +data = dict( + samples_per_gpu=4, + workers_per_gpu=4, + train=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'nuscenes_infos_train.pkl', + pipeline=train_pipeline, + classes=class_names, + modality=input_modality, + test_mode=False, + # we use box_type_3d='LiDAR' in kitti and nuscenes dataset + # and box_type_3d='Depth' in sunrgbd and scannet dataset. + box_type_3d='LiDAR'), + val=dict( + type=dataset_type, + ann_file=data_root + 'nuscenes_infos_val.pkl', + pipeline=test_pipeline, + classes=class_names, + modality=input_modality, + test_mode=True, + box_type_3d='LiDAR'), + test=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'nuscenes_infos_val.pkl', + pipeline=test_pipeline, + classes=class_names, + modality=input_modality, + test_mode=True, + box_type_3d='LiDAR')) +# For nuScenes dataset, we usually evaluate the model at the end of training. +# Since the models are trained by 24 epochs by default, we set evaluation +# interval to be 24. Please change the interval accordingly if you do not +# use a default schedule. +evaluation = dict(interval=24, pipeline=eval_pipeline) diff --git a/projects/configs/datasets/custom_waymo-3d.py b/projects/configs/datasets/custom_waymo-3d.py new file mode 100644 index 0000000..4100e13 --- /dev/null +++ b/projects/configs/datasets/custom_waymo-3d.py @@ -0,0 +1,112 @@ +# dataset settings +# D5 in the config name means the whole dataset is divided into 5 folds +# We only use one fold for efficient experiments +dataset_type = 'CustomWaymoDataset' +data_root = 'data/waymo/kitti_format/' +file_client_args = dict(backend='disk') +# Uncomment the following if use ceph or other file clients. +# See https://mmcv.readthedocs.io/en/latest/api.html#mmcv.fileio.FileClient +# for more details. +# file_client_args = dict( +# backend='petrel', path_mapping=dict(data='s3://waymo_data/')) + +img_norm_cfg = dict( + mean=[103.530, 116.280, 123.675], std=[1.0, 1.0, 1.0], to_rgb=False) +class_names = ['Car', 'Pedestrian', 'Cyclist'] +point_cloud_range = [-74.88, -74.88, -2, 74.88, 74.88, 4] +input_modality = dict(use_lidar=False, use_camera=True) +db_sampler = dict( + data_root=data_root, + info_path=data_root + 'waymo_dbinfos_train.pkl', + rate=1.0, + prepare=dict( + filter_by_difficulty=[-1], + filter_by_min_points=dict(Car=5, Pedestrian=10, Cyclist=10)), + classes=class_names, + sample_groups=dict(Car=15, Pedestrian=10, Cyclist=10), + points_loader=dict( + type='LoadPointsFromFile', + coord_type='LIDAR', + load_dim=5, + use_dim=[0, 1, 2, 3, 4], + file_client_args=file_client_args)) + + + +train_pipeline = [ + dict(type='LoadMultiViewImageFromFiles', to_float32=True), + dict(type='PhotoMetricDistortionMultiViewImage'), + dict(type='LoadAnnotations3D', with_bbox_3d=True, with_label_3d=True, with_attr_label=False), + dict(type='ObjectRangeFilter', point_cloud_range=point_cloud_range), + dict(type='ObjectNameFilter', classes=class_names), + dict(type='NormalizeMultiviewImage', **img_norm_cfg), + dict(type='PadMultiViewImage', size_divisor=32), + dict(type='DefaultFormatBundle3D', class_names=class_names), + dict(type='CustomCollect3D', keys=['gt_bboxes_3d', 'gt_labels_3d', 'img']) +] + + +test_pipeline = [ + dict(type='LoadMultiViewImageFromFiles', to_float32=True), + dict(type='NormalizeMultiviewImage', **img_norm_cfg), + dict(type='PadMultiViewImage', size_divisor=32), + dict( + type='MultiScaleFlipAug3D', + img_scale=(1920, 1280), + pts_scale_ratio=1, + flip=False, + transforms=[ + dict( + type='DefaultFormatBundle3D', + class_names=class_names, + with_label=False), + dict(type='CustomCollect3D', keys=['img']) + ]) +] + + +# construct a pipeline for data and gt loading in show function +# please keep its loading function consistent with test_pipeline (e.g. client) + +data = dict( + samples_per_gpu=2, + workers_per_gpu=4, + train=dict( + type='RepeatDataset', + times=2, + dataset=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'waymo_infos_train.pkl', + split='training', + pipeline=train_pipeline, + modality=input_modality, + classes=class_names, + test_mode=False, + # we use box_type_3d='LiDAR' in kitti and nuscenes dataset + # and box_type_3d='Depth' in sunrgbd and scannet dataset. + box_type_3d='LiDAR', + # load one frame every five frames + load_interval=5)), + val=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'waymo_infos_val.pkl', + split='training', + pipeline=test_pipeline, + modality=input_modality, + classes=class_names, + test_mode=True, + box_type_3d='LiDAR'), + test=dict( + type=dataset_type, + data_root=data_root, + ann_file=data_root + 'waymo_infos_val.pkl', + split='training', + pipeline=test_pipeline, + modality=input_modality, + classes=class_names, + test_mode=True, + box_type_3d='LiDAR')) + +evaluation = dict(interval=24, pipeline=test_pipeline) \ No newline at end of file diff --git a/projects/mmdet3d_plugin/__init__.py b/projects/mmdet3d_plugin/__init__.py new file mode 100755 index 0000000..53795f2 --- /dev/null +++ b/projects/mmdet3d_plugin/__init__.py @@ -0,0 +1,13 @@ +from .core.bbox.assigners.hungarian_assigner_3d import HungarianAssigner3D +from .core.bbox.coders.nms_free_coder import NMSFreeCoder +from .core.bbox.match_costs import BBox3DL1Cost +from .core.evaluation.eval_hooks import CustomDistEvalHook +from .datasets.pipelines import ( + PhotoMetricDistortionMultiViewImage, PadMultiViewImage, + NormalizeMultiviewImage, CustomCollect3D) +from .models.backbones.vovnet import VoVNet +from .models.utils import * +from .models.opt.adamw import AdamW2 +from .models.hooks import * +from .bevformer import * +from .metrics import * diff --git a/projects/mmdet3d_plugin/apis/__init__.py b/projects/mmdet3d_plugin/apis/__init__.py new file mode 100644 index 0000000..34b1fb6 --- /dev/null +++ b/projects/mmdet3d_plugin/apis/__init__.py @@ -0,0 +1,5 @@ +from .test import multi_gpu_test, single_gpu_test + +__all__ = [ + 'multi_gpu_test', 'single_gpu_test' +] \ No newline at end of file diff --git a/projects/mmdet3d_plugin/apis/test.py b/projects/mmdet3d_plugin/apis/test.py new file mode 100644 index 0000000..1b617c5 --- /dev/null +++ b/projects/mmdet3d_plugin/apis/test.py @@ -0,0 +1,352 @@ +import os.path as osp +import shutil +import tempfile +import time +import cv2 + +from PIL import Image + +import mmcv +import torch +import torch.distributed as dist +import numpy as np +import matplotlib.pyplot as plt + +from mmcv.runner import get_dist_info +from mmdet.utils import get_root_logger +from projects.mmdet3d_plugin.metrics import IntersectionOverUnion + +import json + + +def show_seg(labels, car_img): + + PALETTE = [[255, 255, 255], [220, 20, 60], [0, 0, 128], [0, 100, 0], + [128, 0, 0], [64, 0, 128], [64, 0, 192], [192, 128, 64], + [192, 192, 128], [64, 64, 128], [128, 0, 192], [192, 0, 64]] + mask_colors = np.array(PALETTE) + img = np.zeros((200, 400, 3)) + + for index, mask_ in enumerate(labels): + color_mask = mask_colors[index] + mask_ = mask_.astype(bool) + img[mask_] = color_mask + + # 这里需要水平翻转,因为这样才可以保证与在图像坐标系下,与习惯相同 + + img = np.flip(img, axis=0) + # 可视化小车 + car_img = np.where(car_img == [0, 0, 0], [255, 255, 255], car_img)[16: 84, 5:, :] + car_img = cv2.resize(car_img.astype(np.uint8), (30, 16)) + img[img.shape[0] // 2 - 8: img.shape[0] // 2 + 8, img.shape[1] // 2 - 15: img.shape[1] // 2 + 15, :] = car_img + + return img + +def onehot_encoding(logits, dim=1): + max_idx = torch.argmax(logits, dim, keepdim=True) + one_hot = logits.new_full(logits.shape, 0) + one_hot.scatter_(dim, max_idx, 1) + return one_hot + + +def single_gpu_test(model, + data_loader, + show=False, + out_dir=None, + show_score_thr=0.3, + cv2_style=True): + + logger = get_root_logger() + + # multi-task settings + test_mode = data_loader.dataset.test_submission + + map_enable = True + if test_mode: + map_enable = False + + if map_enable: + num_map_class = 4 + semantic_map_iou_val = IntersectionOverUnion(num_map_class) + semantic_map_iou_val = semantic_map_iou_val.cuda() + + model.eval() + results = [] + dataset = data_loader.dataset + prog_bar = mmcv.ProgressBar(len(dataset)) + for i, data in enumerate(data_loader): + + with torch.no_grad(): + in_data = {i: j for i, j in data.items() if 'img' in i} + result = model(return_loss=False, rescale=True, **in_data) + + batch_size = len(result) + assert batch_size == 1, 'val step batch size must set 1!' + show_mask_gt = True + + if (result[0]['seg_preds'] is not None) and (show or out_dir): + car_img = Image.open('/home/guozebin/work_code/BEVFormer/icon/car.png') + car_img_cv = cv2.imread('/home/guozebin/work_code/BEVFormer/icon/car.png') + semantic = result[0]['seg_preds'] + semantic = onehot_encoding(semantic).cpu().numpy() + + # 可视化BEVFusion风格分割结果 BEVFusion分割类间无竞争,如何处理? + # 使用cv2进行可视化 + if cv2_style: + imname = f'{out_dir}/{data["img_metas"][0].data[0][0]["sample_idx"]}.png' + logger.info(f'saving: {imname}') + cv2.imwrite(imname, show_seg(semantic.squeeze(), car_img_cv)) + + if show_mask_gt: + target_semantic_indices = data['semantic_indices'][0].unsqueeze(0) + one_hot = target_semantic_indices.new_full(semantic.shape, 0) + one_hot.scatter_(1, target_semantic_indices, 1) + semantic = one_hot.cpu().numpy().astype(np.float) + imname = f'{out_dir}/{data["img_metas"][0].data[0][0]["sample_idx"]}_gt.png' + logger.info(f'saving: {imname}') + cv2.imwrite(imname, show_seg(semantic.squeeze(), car_img_cv)) + else: + # 可视化HDMapNet风格分割结果 + semantic[semantic < 0.1] = np.nan + for si in range(semantic.shape[0]): + plt.figure(figsize=(4, 2)) + plt.imshow(semantic[si][1], vmin=0, cmap='Blues', vmax=1, alpha=0.8) + plt.imshow(semantic[si][2], vmin=0, cmap='Reds', vmax=1, alpha=0.8) + plt.imshow(semantic[si][3], vmin=0, cmap='Greens', vmax=1, alpha=0.8) + + plt.xlim(0, 400) + plt.ylim(0, 200) + plt.axis('off') + plt.imshow(car_img, extent=[semantic.shape[3] // 2 - 15, semantic.shape[3] // 2 + 15, + semantic.shape[2] // 2 - 12, semantic.shape[2] // 2 + 12]) + imname = f'{out_dir}/{data["img_metas"][0].data[0][0]["sample_idx"]}.png' + logger.info(f'saving: {imname}') + plt.savefig(imname, bbox_inches='tight', dpi=100) + plt.close() + + if show_mask_gt: + + target_semantic_indices = data['semantic_indices'][0].unsqueeze(0) + one_hot = target_semantic_indices.new_full(semantic.shape, 0) + one_hot.scatter_(1, target_semantic_indices, 1) + semantic = one_hot.cpu().numpy().astype(np.float) + semantic[semantic < 0.1] = np.nan + for si in range(semantic.shape[0]): + plt.figure(figsize=(4, 2)) + plt.imshow(semantic[si][1], vmin=0, cmap='Blues', vmax=1, alpha=0.8) + plt.imshow(semantic[si][2], vmin=0, cmap='Reds', vmax=1, alpha=0.8) + plt.imshow(semantic[si][3], vmin=0, cmap='Greens', vmax=1, alpha=0.8) + + plt.xlim(0, 400) + plt.ylim(0, 200) + plt.axis('off') + plt.imshow(car_img, extent=[semantic.shape[3] // 2 - 15, semantic.shape[3] // 2 + 15, + semantic.shape[2] // 2 - 12, semantic.shape[2] // 2 + 12]) + imname = f'{out_dir}/{data["img_metas"][0].data[0][0]["sample_idx"]}_gt.png' + logger.info(f'saving: {imname}') + plt.savefig(imname) + plt.close() + + if result[0]['pts_bbox'] == None: + pass + + else: + results.extend([dict(pts_bbox=result[0]['pts_bbox'])]) + + if result[0]['seg_preds'] == None: + map_enable = False + + if map_enable: + pred = result[0]['seg_preds'] + pred = onehot_encoding(pred) + num_cls = pred.shape[1] + indices = torch.arange(0, num_cls).reshape(-1, 1, 1).to(pred.device) + pred_semantic_indices = torch.sum(pred * indices, axis=1).int() + target_semantic_indices = data['semantic_indices'][0].cuda() + + semantic_map_iou_val(pred_semantic_indices, + target_semantic_indices) + + for _ in range(batch_size): + prog_bar.update() + + if map_enable: + import prettytable as pt + scores = semantic_map_iou_val.compute() + mIoU = sum(scores[1:]) / (len(scores) - 1) + tb = pt.PrettyTable() + tb.field_names = ['Validation num', 'Divider', 'Pred Crossing', 'Boundary', 'mIoU'] + tb.add_row([len(dataset), round(scores[1:].cpu().numpy()[0], 4), + round(scores[1:].cpu().numpy()[1], 4), round(scores[1:].cpu().numpy()[2], 4), + round(mIoU.cpu().numpy().item(), 4)]) + print('\n') + print(tb) + logger.info(tb) + seg_dict = dict( + Validation_num=len(dataset), + Divider=round(scores[1:].cpu().numpy()[0], 4), + Pred_Crossing=round(scores[1:].cpu().numpy()[1], 4), + Boundary=round(scores[1:].cpu().numpy()[2], 4), + mIoU=round(mIoU.cpu().numpy().item(), 4) + ) + + with open('segmentation_result.json', 'a') as f: + f.write(json.dumps(str(seg_dict)) + '\n') + + return results + + +def multi_gpu_test(model, data_loader, tmpdir=None, gpu_collect=False): + """Test model with multiple gpus. + + This method tests model with multiple gpus and collects the results + under two different modes: gpu and cpu modes. By setting 'gpu_collect=True' + it encodes results to gpu tensors and use gpu communication for results + collection. On cpu mode it saves the results on different gpus to 'tmpdir' + and collects them by the rank 0 worker. + + Args: + model (nn.Module): Model to be tested. + data_loader (nn.Dataloader): Pytorch data loader. + tmpdir (str): Path of directory to save the temporary results from + different gpus under cpu mode. + gpu_collect (bool): Option to use either gpu or cpu to collect results. + + Returns: + list: The prediction results. + """ + + logger = get_root_logger() + # multi-task settings + test_mode = data_loader.dataset.test_submission + map_enable = True + if test_mode: + map_enable = False + + if map_enable: + num_map_class = 4 + semantic_map_iou_val = IntersectionOverUnion(num_map_class) + semantic_map_iou_val = semantic_map_iou_val.cuda() + + model.eval() + results = [] + dataset = data_loader.dataset + rank, world_size = get_dist_info() + + if rank == 0: + prog_bar = mmcv.ProgressBar(len(dataset)) + + time.sleep(2) # This line can prevent deadlock problem in some cases. + for i, data in enumerate(data_loader): + with torch.no_grad(): + in_data = {i: j for i, j in data.items() if 'img' in i} + result = model(return_loss=False, rescale=True, **in_data) + + batch_size = len(result) + # print(result) + if result[0]['pts_bbox'] == None: + pass + + else: + results.extend([dict(pts_bbox=result[0]['pts_bbox'])]) + + if result[0]['seg_preds'] == None: + map_enable = False + + if map_enable: + pred = result[0]['seg_preds'] + pred = onehot_encoding(pred) + num_cls = pred.shape[1] + indices = torch.arange(0, num_cls).reshape(-1, 1, 1).to(pred.device) + pred_semantic_indices = torch.sum(pred * indices, axis=1).int() + target_semantic_indices = data['semantic_indices'][0].cuda() + + semantic_map_iou_val(pred_semantic_indices, + target_semantic_indices) + + if rank == 0: + for _ in range(batch_size * world_size): + prog_bar.update() + + if map_enable: + import prettytable as pt + scores = semantic_map_iou_val.compute() + mIoU = sum(scores[1:]) / (len(scores) - 1) + if rank == 0: + tb = pt.PrettyTable() + tb.field_names = ['Validation num', 'Divider', 'Pred Crossing', 'Boundary', 'mIoU'] + tb.add_row([len(dataset), round(scores[1:].cpu().numpy()[0], 4), + round(scores[1:].cpu().numpy()[1], 4), round(scores[1:].cpu().numpy()[2], 4), + round(mIoU.cpu().numpy().item(), 4)]) + print('\n') + #print(tb) + logger.info(tb) + + seg_dict = dict( + Validation_num=len(dataset), + Divider=round(scores[1:].cpu().numpy()[0], 4), + Pred_Crossing=round(scores[1:].cpu().numpy()[1], 4), + Boundary=round(scores[1:].cpu().numpy()[2], 4), + mIoU=round(mIoU.cpu().numpy().item(), 4) + ) + + with open('segmentation_result.json', 'a') as f: + f.write(json.dumps(str(seg_dict)) + '\n') + + if gpu_collect: + results = collect_results_gpu(results, len(dataset)) + else: + results = collect_results_cpu(results, len(dataset), tmpdir) + return results + + +def collect_results_cpu(result_part, size, tmpdir=None): + rank, world_size = get_dist_info() + # create a tmp dir if it is not specified + if tmpdir is None: + MAX_LEN = 512 + # 32 is whitespace + dir_tensor = torch.full((MAX_LEN,), + 32, + dtype=torch.uint8, + device='cuda') + if rank == 0: + mmcv.mkdir_or_exist('.dist_test') + tmpdir = tempfile.mkdtemp(dir='.dist_test') + tmpdir = torch.tensor( + bytearray(tmpdir.encode()), dtype=torch.uint8, device='cuda') + dir_tensor[:len(tmpdir)] = tmpdir + dist.broadcast(dir_tensor, 0) + tmpdir = dir_tensor.cpu().numpy().tobytes().decode().rstrip() + else: + mmcv.mkdir_or_exist(tmpdir) + # dump the part result to the dir + mmcv.dump(result_part, osp.join(tmpdir, f'part_{rank}.pkl')) + dist.barrier() + # collect all parts + if rank != 0: + return None + else: + # load results of all parts from tmp dir + part_list = [] + for i in range(world_size): + part_file = osp.join(tmpdir, f'part_{i}.pkl') + part_list.append(mmcv.load(part_file)) + # sort the results + ordered_results = [] + ''' + bacause we change the sample of the evaluation stage to make sure that each gpu will handle continuous sample, + ''' + # for res in zip(*part_list): + for res in part_list: + ordered_results.extend(list(res)) + # the dataloader may pad some samples + ordered_results = ordered_results[:size] + # remove tmp dir + shutil.rmtree(tmpdir) + return ordered_results + + +def collect_results_gpu(result_part, size): + return collect_results_cpu(result_part, size) + diff --git a/projects/mmdet3d_plugin/bevformer/__init__.py b/projects/mmdet3d_plugin/bevformer/__init__.py new file mode 100644 index 0000000..333b1ba --- /dev/null +++ b/projects/mmdet3d_plugin/bevformer/__init__.py @@ -0,0 +1,7 @@ + +from .dense_heads import * +from .detectors import * +from .modules import * +from .runner import * +from .hooks import * +from .loss import * \ No newline at end of file diff --git a/projects/mmdet3d_plugin/bevformer/apis/__init__.py b/projects/mmdet3d_plugin/bevformer/apis/__init__.py new file mode 100644 index 0000000..15dff22 --- /dev/null +++ b/projects/mmdet3d_plugin/bevformer/apis/__init__.py @@ -0,0 +1,3 @@ +from .train import custom_train_model +from .mmdet_train import custom_train_detector +# from .test import custom_multi_gpu_test \ No newline at end of file diff --git a/projects/mmdet3d_plugin/bevformer/apis/mmdet_train.py b/projects/mmdet3d_plugin/bevformer/apis/mmdet_train.py new file mode 100644 index 0000000..0b17e76 --- /dev/null +++ b/projects/mmdet3d_plugin/bevformer/apis/mmdet_train.py @@ -0,0 +1,200 @@ +# --------------------------------------------- +# Copyright (c) OpenMMLab. All rights reserved. +# --------------------------------------------- +# Modified by Zhiqi Li +# --------------------------------------------- +import random +import warnings + +import numpy as np +import torch +import torch.distributed as dist +from mmcv.parallel import MMDataParallel, MMDistributedDataParallel +from mmcv.runner import (HOOKS, DistSamplerSeedHook, EpochBasedRunner, + Fp16OptimizerHook, OptimizerHook, build_optimizer, + build_runner, get_dist_info) +from mmcv.utils import build_from_cfg + +#from mmdet.core import EvalHook + +from mmdet.datasets import (build_dataset, + replace_ImageToTensor) +from mmdet.utils import get_root_logger +import time +import os.path as osp +from projects.mmdet3d_plugin.datasets.builder import build_dataloader +from projects.mmdet3d_plugin.core.evaluation.eval_hooks import CustomDistEvalHook, EvalHook +from projects.mmdet3d_plugin.datasets import custom_build_dataset +def custom_train_detector(model, + dataset, + cfg, + distributed=False, + validate=False, + timestamp=None, + eval_model=None, + meta=None): + logger = get_root_logger(cfg.log_level) + + # prepare data loaders + + dataset = dataset if isinstance(dataset, (list, tuple)) else [dataset] + #assert len(dataset)==1s + if 'imgs_per_gpu' in cfg.data: + logger.warning('"imgs_per_gpu" is deprecated in MMDet V2.0. ' + 'Please use "samples_per_gpu" instead') + if 'samples_per_gpu' in cfg.data: + logger.warning( + f'Got "imgs_per_gpu"={cfg.data.imgs_per_gpu} and ' + f'"samples_per_gpu"={cfg.data.samples_per_gpu}, "imgs_per_gpu"' + f'={cfg.data.imgs_per_gpu} is used in this experiments') + else: + logger.warning( + 'Automatically set "samples_per_gpu"="imgs_per_gpu"=' + f'{cfg.data.imgs_per_gpu} in this experiments') + cfg.data.samples_per_gpu = cfg.data.imgs_per_gpu + + data_loaders = [ + build_dataloader( + ds, + cfg.data.samples_per_gpu, + cfg.data.workers_per_gpu, + # cfg.gpus will be ignored if distributed + len(cfg.gpu_ids), + dist=distributed, + seed=cfg.seed, + shuffler_sampler=cfg.data.shuffler_sampler, # dict(type='DistributedGroupSampler'), + nonshuffler_sampler=cfg.data.nonshuffler_sampler, # dict(type='DistributedSampler'), + ) for ds in dataset + ] + + # put model on gpus + if distributed: + find_unused_parameters = cfg.get('find_unused_parameters', False) + # Sets the `find_unused_parameters` parameter in + # torch.nn.parallel.DistributedDataParallel + model = MMDistributedDataParallel( + model.cuda(), + device_ids=[torch.cuda.current_device()], + broadcast_buffers=False, + find_unused_parameters=find_unused_parameters) + if eval_model is not None: + eval_model = MMDistributedDataParallel( + eval_model.cuda(), + device_ids=[torch.cuda.current_device()], + broadcast_buffers=False, + find_unused_parameters=find_unused_parameters) + else: + model = MMDataParallel( + model.cuda(cfg.gpu_ids[0]), device_ids=cfg.gpu_ids) + if eval_model is not None: + eval_model = MMDataParallel( + eval_model.cuda(cfg.gpu_ids[0]), device_ids=cfg.gpu_ids) + + + # build runner + optimizer = build_optimizer(model, cfg.optimizer) + + if 'runner' not in cfg: + cfg.runner = { + 'type': 'EpochBasedRunner', + 'max_epochs': cfg.total_epochs + } + warnings.warn( + 'config is now expected to have a `runner` section, ' + 'please set `runner` in your config.', UserWarning) + else: + if 'total_epochs' in cfg: + assert cfg.total_epochs == cfg.runner.max_epochs + if eval_model is not None: + runner = build_runner( + cfg.runner, + default_args=dict( + model=model, + eval_model=eval_model, + optimizer=optimizer, + work_dir=cfg.work_dir, + logger=logger, + meta=meta)) + else: + runner = build_runner( + cfg.runner, + default_args=dict( + model=model, + optimizer=optimizer, + work_dir=cfg.work_dir, + logger=logger, + meta=meta)) + + # an ugly workaround to make .log and .log.json filenames the same + runner.timestamp = timestamp + + # fp16 setting + fp16_cfg = cfg.get('fp16', None) + if fp16_cfg is not None: + optimizer_config = Fp16OptimizerHook( + **cfg.optimizer_config, **fp16_cfg, distributed=distributed) + elif distributed and 'type' not in cfg.optimizer_config: + optimizer_config = OptimizerHook(**cfg.optimizer_config) + else: + optimizer_config = cfg.optimizer_config + + # register hooks + runner.register_training_hooks(cfg.lr_config, optimizer_config, + cfg.checkpoint_config, cfg.log_config, + cfg.get('momentum_config', None)) + + # register profiler hook + #trace_config = dict(type='tb_trace', dir_name='work_dir') + #profiler_config = dict(on_trace_ready=trace_config) + #runner.register_profiler_hook(profiler_config) + + if distributed: + if isinstance(runner, EpochBasedRunner): + runner.register_hook(DistSamplerSeedHook()) + + # register eval hooks + if validate: + # Support batch_size > 1 in validation + val_samples_per_gpu = cfg.data.val.pop('samples_per_gpu', 1) + if val_samples_per_gpu > 1: + assert False + # Replace 'ImageToTensor' to 'DefaultFormatBundle' + cfg.data.val.pipeline = replace_ImageToTensor( + cfg.data.val.pipeline) + val_dataset = custom_build_dataset(cfg.data.val, dict(test_mode=True)) + + val_dataloader = build_dataloader( + val_dataset, + samples_per_gpu=val_samples_per_gpu, + workers_per_gpu=cfg.data.workers_per_gpu, + dist=distributed, + shuffle=False, + shuffler_sampler=cfg.data.shuffler_sampler, # dict(type='DistributedGroupSampler'), + nonshuffler_sampler=cfg.data.nonshuffler_sampler, # dict(type='DistributedSampler'), + ) + eval_cfg = cfg.get('evaluation', {}) + eval_cfg['by_epoch'] = cfg.runner['type'] != 'IterBasedRunner' + eval_cfg['jsonfile_prefix'] = osp.join('val', cfg.work_dir, time.ctime().replace(' ','_').replace(':','_')) + eval_hook = CustomDistEvalHook if distributed else EvalHook + runner.register_hook(eval_hook(val_dataloader, **eval_cfg)) + + # user-defined hooks + if cfg.get('custom_hooks', None): + custom_hooks = cfg.custom_hooks + assert isinstance(custom_hooks, list), \ + f'custom_hooks expect list type, but got {type(custom_hooks)}' + for hook_cfg in cfg.custom_hooks: + assert isinstance(hook_cfg, dict), \ + 'Each item in custom_hooks expects dict type, but got ' \ + f'{type(hook_cfg)}' + hook_cfg = hook_cfg.copy() + priority = hook_cfg.pop('priority', 'NORMAL') + hook = build_from_cfg(hook_cfg, HOOKS) + runner.register_hook(hook, priority=priority) + + if cfg.resume_from: + runner.resume(cfg.resume_from) + elif cfg.load_from: + runner.load_checkpoint(cfg.load_from) + runner.run(data_loaders, cfg.workflow) + diff --git a/projects/mmdet3d_plugin/bevformer/apis/test.py b/projects/mmdet3d_plugin/bevformer/apis/test.py new file mode 100644 index 0000000..cd507e4 --- /dev/null +++ b/projects/mmdet3d_plugin/bevformer/apis/test.py @@ -0,0 +1,164 @@ +# --------------------------------------------- +# Copyright (c) OpenMMLab. All rights reserved. +# --------------------------------------------- +# Modified by Zhiqi Li +# --------------------------------------------- +import os.path as osp +import pickle +import shutil +import tempfile +import time + +import mmcv +import torch +import torch.distributed as dist +from mmcv.image import tensor2imgs +from mmcv.runner import get_dist_info + +from mmdet.core import encode_mask_results + + +import mmcv +import numpy as np +import pycocotools.mask as mask_util + +def custom_encode_mask_results(mask_results): + """Encode bitmap mask to RLE code. Semantic Masks only + Args: + mask_results (list | tuple[list]): bitmap mask results. + In mask scoring rcnn, mask_results is a tuple of (segm_results, + segm_cls_score). + Returns: + list | tuple: RLE encoded mask. + """ + cls_segms = mask_results + num_classes = len(cls_segms) + encoded_mask_results = [] + for i in range(len(cls_segms)): + encoded_mask_results.append( + mask_util.encode( + np.array( + cls_segms[i][:, :, np.newaxis], order='F', + dtype='uint8'))[0]) # encoded with RLE + return [encoded_mask_results] + +def custom_multi_gpu_test(model, data_loader, tmpdir=None, gpu_collect=False): + """Test model with multiple gpus. + This method tests model with multiple gpus and collects the results + under two different modes: gpu and cpu modes. By setting 'gpu_collect=True' + it encodes results to gpu tensors and use gpu communication for results + collection. On cpu mode it saves the results on different gpus to 'tmpdir' + and collects them by the rank 0 worker. + Args: + model (nn.Module): Model to be tested. + data_loader (nn.Dataloader): Pytorch data loader. + tmpdir (str): Path of directory to save the temporary results from + different gpus under cpu mode. + gpu_collect (bool): Option to use either gpu or cpu to collect results. + Returns: + list: The prediction results. + """ + model.eval() + bbox_results = [] + mask_results = [] + dataset = data_loader.dataset + rank, world_size = get_dist_info() + if rank == 0: + prog_bar = mmcv.ProgressBar(len(dataset)) + time.sleep(2) # This line can prevent deadlock problem in some cases. + have_mask = False + for i, data in enumerate(data_loader): + with torch.no_grad(): + result = model(return_loss=False, rescale=True, **data) + # encode mask results + if isinstance(result, dict): + if 'bbox_results' in result.keys(): + bbox_result = result['bbox_results'] + batch_size = len(result['bbox_results']) + bbox_results.extend(bbox_result) + if 'mask_results' in result.keys() and result['mask_results'] is not None: + mask_result = custom_encode_mask_results(result['mask_results']) + mask_results.extend(mask_result) + have_mask = True + else: + batch_size = len(result) + bbox_results.extend(result) + + #if isinstance(result[0], tuple): + # assert False, 'this code is for instance segmentation, which our code will not utilize.' + # result = [(bbox_results, encode_mask_results(mask_results)) + # for bbox_results, mask_results in result] + if rank == 0: + + for _ in range(batch_size * world_size): + prog_bar.update() + + # collect results from all ranks + if gpu_collect: + bbox_results = collect_results_gpu(bbox_results, len(dataset)) + if have_mask: + mask_results = collect_results_gpu(mask_results, len(dataset)) + else: + mask_results = None + else: + bbox_results = collect_results_cpu(bbox_results, len(dataset), tmpdir) + tmpdir = tmpdir+'_mask' if tmpdir is not None else None + if have_mask: + mask_results = collect_results_cpu(mask_results, len(dataset), tmpdir) + else: + mask_results = None + + if mask_results is None: + return bbox_results + return {'bbox_results': bbox_results, 'mask_results': mask_results} + + +def collect_results_cpu(result_part, size, tmpdir=None): + rank, world_size = get_dist_info() + # create a tmp dir if it is not specified + if tmpdir is None: + MAX_LEN = 512 + # 32 is whitespace + dir_tensor = torch.full((MAX_LEN, ), + 32, + dtype=torch.uint8, + device='cuda') + if rank == 0: + mmcv.mkdir_or_exist('.dist_test') + tmpdir = tempfile.mkdtemp(dir='.dist_test') + tmpdir = torch.tensor( + bytearray(tmpdir.encode()), dtype=torch.uint8, device='cuda') + dir_tensor[:len(tmpdir)] = tmpdir + dist.broadcast(dir_tensor, 0) + tmpdir = dir_tensor.cpu().numpy().tobytes().decode().rstrip() + else: + mmcv.mkdir_or_exist(tmpdir) + # dump the part result to the dir + mmcv.dump(result_part, osp.join(tmpdir, f'part_{rank}.pkl')) + dist.barrier() + # collect all parts + if rank != 0: + return None + else: + # load results of all parts from tmp dir + part_list = [] + for i in range(world_size): + part_file = osp.join(tmpdir, f'part_{i}.pkl') + part_list.append(mmcv.load(part_file)) + # sort the results + ordered_results = [] + ''' + bacause we change the sample of the evaluation stage to make sure that each gpu will handle continuous sample, + ''' + #for res in zip(*part_list): + for res in part_list: + ordered_results.extend(list(res)) + # the dataloader may pad some samples + ordered_results = ordered_results[:size] + # remove tmp dir + shutil.rmtree(tmpdir) + return ordered_results + + +def collect_results_gpu(result_part, size): + collect_results_cpu(result_part, size) \ No newline at end of file diff --git a/projects/mmdet3d_plugin/bevformer/apis/train.py b/projects/mmdet3d_plugin/bevformer/apis/train.py new file mode 100644 index 0000000..f9391e6 --- /dev/null +++ b/projects/mmdet3d_plugin/bevformer/apis/train.py @@ -0,0 +1,67 @@ +# --------------------------------------------- +# Copyright (c) OpenMMLab. All rights reserved. +# --------------------------------------------- +# Modified by Zhiqi Li +# --------------------------------------------- + +from .mmdet_train import custom_train_detector +from mmseg.apis import train_segmentor +from mmdet.apis import train_detector + +def custom_train_model(model, + dataset, + cfg, + distributed=False, + validate=False, + timestamp=None, + eval_model=None, + meta=None): + """A function wrapper for launching model training according to cfg. + + Because we need different eval_hook in runner. Should be deprecated in the + future. + """ + if cfg.model.type in ['EncoderDecoder3D']: + assert False + else: + custom_train_detector( + model, + dataset, + cfg, + distributed=distributed, + validate=validate, + timestamp=timestamp, + eval_model=eval_model, + meta=meta) + + +def train_model(model, + dataset, + cfg, + distributed=False, + validate=False, + timestamp=None, + meta=None): + """A function wrapper for launching model training according to cfg. + + Because we need different eval_hook in runner. Should be deprecated in the + future. + """ + if cfg.model.type in ['EncoderDecoder3D']: + train_segmentor( + model, + dataset, + cfg, + distributed=distributed, + validate=validate, + timestamp=timestamp, + meta=meta) + else: + train_detector( + model, + dataset, + cfg, + distributed=distributed, + validate=validate, + timestamp=timestamp, + meta=meta) diff --git a/projects/mmdet3d_plugin/bevformer/dense_heads/__init__.py b/projects/mmdet3d_plugin/bevformer/dense_heads/__init__.py new file mode 100644 index 0000000..ed15c8f --- /dev/null +++ b/projects/mmdet3d_plugin/bevformer/dense_heads/__init__.py @@ -0,0 +1,2 @@ +from .bevformer_head import BEVFormerHead +from .bevformer_seg_head import BEVFormerHead_seg \ No newline at end of file diff --git a/projects/mmdet3d_plugin/bevformer/dense_heads/bevformer_head.py b/projects/mmdet3d_plugin/bevformer/dense_heads/bevformer_head.py new file mode 100644 index 0000000..a0e22fc --- /dev/null +++ b/projects/mmdet3d_plugin/bevformer/dense_heads/bevformer_head.py @@ -0,0 +1,691 @@ +# --------------------------------------------- +# Copyright (c) OpenMMLab. All rights reserved. +# --------------------------------------------- +# Modified by Zhiqi Li +# --------------------------------------------- + +import copy +import torch +import torch.nn as nn +import torch.nn.functional as F +from mmcv.cnn import Linear, bias_init_with_prob +from mmcv.utils import TORCH_VERSION, digit_version + +from mmdet.core import (multi_apply, reduce_mean) +from mmdet.models.utils.transformer import inverse_sigmoid +from mmdet.models import HEADS +from mmdet.models.dense_heads import DETRHead +from mmdet3d.core.bbox.coders import build_bbox_coder +from projects.mmdet3d_plugin.core.bbox.util import normalize_bbox +from mmcv.runner import force_fp32, auto_fp16 +from ..modules.builder import build_seg_encoder +#from mmdet.models.builder import build_loss +from mmseg.models.builder import build_loss + + +def calculate_birds_eye_view_parameters(x_bounds, y_bounds, z_bounds): + """ + Parameters + ---------- + x_bounds: Forward direction in the ego-car. + y_bounds: Sides + z_bounds: Height + + Returns + ------- + bev_resolution: Bird's-eye view bev_resolution + bev_start_position Bird's-eye view first element + bev_dimension Bird's-eye view tensor spatial dimension + """ + bev_resolution = torch.tensor( + [row[2] for row in [x_bounds, y_bounds, z_bounds]]) + bev_start_position = torch.tensor( + [row[0] + row[2] / 2.0 for row in [x_bounds, y_bounds, z_bounds]]) + bev_dimension = torch.tensor([(row[1] - row[0]) / row[2] + for row in [x_bounds, y_bounds, z_bounds]], dtype=torch.long) + + return bev_resolution, bev_start_position, bev_dimension + + +class BevFeatureSlicer(nn.Module): + # crop the interested area in BEV feature for semantic map segmentation + def __init__(self, grid_conf, map_grid_conf): + super().__init__() + + if grid_conf == map_grid_conf: + self.identity_mapping = True + else: + self.identity_mapping = False + + bev_resolution, bev_start_position, bev_dimension = calculate_birds_eye_view_parameters( + grid_conf['xbound'], grid_conf['ybound'], grid_conf['zbound'], + ) + + map_bev_resolution, map_bev_start_position, map_bev_dimension = calculate_birds_eye_view_parameters( + map_grid_conf['xbound'], map_grid_conf['ybound'], map_grid_conf['zbound'], + ) + + self.map_x = torch.arange( + map_bev_start_position[0], map_grid_conf['xbound'][1], map_bev_resolution[0]) + + self.map_y = torch.arange( + map_bev_start_position[1], map_grid_conf['ybound'][1], map_bev_resolution[1]) + + # convert to normalized coords + self.norm_map_x = self.map_x / (- bev_start_position[0]) + self.norm_map_y = self.map_y / (- bev_start_position[1]) + # vision 1 失败 + self.map_grid = torch.stack(torch.meshgrid( + self.norm_map_x, self.norm_map_y), dim=2).permute(1, 0, 2) + # self.map_grid = torch.stack(torch.meshgrid( + # self.norm_map_x, self.norm_map_y, indexing='xy'), dim=2) + + # vision 2 test + # self.map_grid = torch.stack(torch.meshgrid( + # self.norm_map_x, self.norm_map_y), dim=2) + + def forward(self, x): + # x: bev feature map tensor of shape (b, c, h, w) + if self.identity_mapping: + return x + else: + grid = self.map_grid.unsqueeze(0).type_as( + x).repeat(x.shape[0], 1, 1, 1) + + return F.grid_sample(x, grid=grid, mode='bilinear', align_corners=True) + + +@HEADS.register_module() +class BEVFormerHead(DETRHead): + """Head of Detr3D. + Args: + with_box_refine (bool): Whether to refine the reference points + in the decoder. Defaults to False. + as_two_stage (bool) : Whether to generate the proposal from + the outputs of encoder. + transformer (obj:`ConfigDict`): ConfigDict is used for building + the Encoder and Decoder. + bev_h, bev_w (int): spatial shape of BEV queries. + """ + + def __init__(self, + *args, + with_box_refine=False, + as_two_stage=False, + transformer=None, + bbox_coder=None, + seg_encoder=None, + loss_seg=None, + num_cls_fcs=2, + code_weights=None, + bev_h=30, + bev_w=30, + task=None, + det_grid_conf=None, + map_grid_conf=None, + **kwargs): + + self.bev_h = bev_h + self.bev_w = bev_w + self.fp16_enabled = False + + self.with_box_refine = with_box_refine + self.as_two_stage = as_two_stage + if self.as_two_stage: + transformer['as_two_stage'] = self.as_two_stage + if 'code_size' in kwargs: + self.code_size = kwargs['code_size'] + else: + self.code_size = 10 + if code_weights is not None: + self.code_weights = code_weights + else: + self.code_weights = [1.0, 1.0, 1.0, + 1.0, 1.0, 1.0, 1.0, 1.0, 0.2, 0.2] + + self.bbox_coder = build_bbox_coder(bbox_coder) + + # TODO + # add muti task,用于确定这三种任务 + self.task = task + + self.pc_range = self.bbox_coder.pc_range + self.real_w = self.pc_range[3] - self.pc_range[0] + self.real_h = self.pc_range[4] - self.pc_range[1] + self.num_cls_fcs = num_cls_fcs - 1 + super(BEVFormerHead, self).__init__( + *args, transformer=transformer, **kwargs) + self.code_weights = nn.Parameter(torch.tensor( + self.code_weights, requires_grad=False), requires_grad=False) + # 如果包含分割任务,则实例化分割子网络以及loss + if self.task.get('seg'): + self.map_grid_conf = map_grid_conf + self.det_grid_conf = det_grid_conf + self.feat_cropper = BevFeatureSlicer(self.det_grid_conf, self.map_grid_conf) + self.seg_decoder = build_seg_encoder(seg_encoder) + self.loss_seg = build_loss(loss_seg) + + def _init_layers(self): + """Initialize classification branch and regression branch of head.""" + # 初始化网络层参数时需要根据任务本身来进行 + if self.task.get('det'): + cls_branch = [] + for _ in range(self.num_reg_fcs): + cls_branch.append(Linear(self.embed_dims, self.embed_dims)) + cls_branch.append(nn.LayerNorm(self.embed_dims)) + cls_branch.append(nn.ReLU(inplace=True)) + cls_branch.append(Linear(self.embed_dims, self.cls_out_channels)) + fc_cls = nn.Sequential(*cls_branch) + + reg_branch = [] + for _ in range(self.num_reg_fcs): + reg_branch.append(Linear(self.embed_dims, self.embed_dims)) + reg_branch.append(nn.ReLU()) + reg_branch.append(Linear(self.embed_dims, self.code_size)) + reg_branch = nn.Sequential(*reg_branch) + + def _get_clones(module, N): + return nn.ModuleList([copy.deepcopy(module) for i in range(N)]) + + # last reg_branch is used to generate proposal from + # encode feature map when as_two_stage is True. + num_pred = (self.transformer.decoder.num_layers + 1) if \ + self.as_two_stage else self.transformer.decoder.num_layers + + if self.with_box_refine: + self.cls_branches = _get_clones(fc_cls, num_pred) + self.reg_branches = _get_clones(reg_branch, num_pred) + else: + self.cls_branches = nn.ModuleList( + [fc_cls for _ in range(num_pred)]) + self.reg_branches = nn.ModuleList( + [reg_branch for _ in range(num_pred)]) + # 这里的二阶段没有看懂用途,这里不改变作者原有配置 + if not self.as_two_stage: + self.bev_embedding = nn.Embedding( + self.bev_h * self.bev_w, self.embed_dims) + self.query_embedding = nn.Embedding(self.num_query, + self.embed_dims * 2) + + def init_weights(self): + """Initialize weights of the DeformDETR head.""" + self.transformer.init_weights() + # 如果有检测任务,才初始化分类分支 + if self.task.get('det'): + if self.loss_cls.use_sigmoid: + bias_init = bias_init_with_prob(0.01) + for m in self.cls_branches: + nn.init.constant_(m[-1].bias, bias_init) + + @auto_fp16(apply_to=('mlvl_feats')) + def forward(self, mlvl_feats, img_metas, prev_bev=None, only_bev=False): + """Forward function. + Args: + mlvl_feats (tuple[Tensor]): Features from the upstream + network, each is a 5D-tensor with shape + (B, N, C, H, W). + prev_bev: previous bev featues + only_bev: only compute BEV features with encoder. + Returns: + all_cls_scores (Tensor): Outputs from the classification head, \ + shape [nb_dec, bs, num_query, cls_out_channels]. Note \ + cls_out_channels should includes background. + all_bbox_preds (Tensor): Sigmoid outputs from the regression \ + head with normalized coordinate format (cx, cy, w, l, cz, h, theta, vx, vy). \ + Shape [nb_dec, bs, num_query, 9]. + """ + + bs, num_cam, _, _, _ = mlvl_feats[0].shape + dtype = mlvl_feats[0].dtype + object_query_embeds = self.query_embedding.weight.to(dtype) + bev_queries = self.bev_embedding.weight.to(dtype) + + bev_mask = torch.zeros((bs, self.bev_h, self.bev_w), + device=bev_queries.device).to(dtype) + bev_pos = self.positional_encoding(bev_mask).to(dtype) + + if only_bev: # only use encoder to obtain BEV features, TODO: refine the workaround + return self.transformer.get_bev_features( + mlvl_feats, + bev_queries, + self.bev_h, + self.bev_w, + grid_length=(self.real_h / self.bev_h, + self.real_w / self.bev_w), + bev_pos=bev_pos, + img_metas=img_metas, + prev_bev=prev_bev, + ) + else: + outputs = self.transformer( + mlvl_feats, + bev_queries, + object_query_embeds, + self.bev_h, + self.bev_w, + grid_length=(self.real_h / self.bev_h, + self.real_w / self.bev_w), + bev_pos=bev_pos, + reg_branches=self.reg_branches if self.with_box_refine else None, # noqa:E501 + cls_branches=self.cls_branches if self.as_two_stage else None, + img_metas=img_metas, + prev_bev=prev_bev + ) + + bev_embed, hs, init_reference, inter_references = outputs + + # add segmentation task + # TODO : 添加分割任务预测网络 + if self.task.get('seg'): + # bev_queries(Tensor): (bev_h * bev_w, bs, c) 这是一个非常重要的地方,但是感觉这样的操作并无不同 + # 最初不做转换的版本,直接resize epoch 10 miou 0.07,这个肯定是不正确的 ❌ + # seg_bev = bev_embed.reshape(self.bev_h, self.bev_w, bs, -1).permute(2, 3, 0, 1) + + # 将bev空间特征从lidar系转换到图像系 + + # TEST 00 顺时针旋转90度, 水平翻转 epoch5 miou 0.14 ❌ + # seg_bev = bev_embed.reshape(self.bev_h, self.bev_w, bs, -1).permute(2, 3, 0, 1) + # seg_bev = torch.rot90(seg_bev, k=-1, dims=[2, 3]) + # seg_bev = torch.flip(seg_bev, dims=[3]) + + # TEST 01 转换HW维度 epoch1 miou 0.24 现在重新开始跑了 small_seg_trans_wh.py ❌ + #seg_bev = bev_embed.reshape(self.bev_h, self.bev_w, bs, -1).permute(2, 3, 1, 0) + + # TEST 02 转换HW维度,再竖直翻转 small_seg_trans_flip.py 都一样配置,只是区分了对其进行的操作。epoch3 40.3%miou + seg_bev = bev_embed.reshape(self.bev_h, self.bev_w, bs, -1).permute(2, 3, 1, 0) # b, c , w, h + seg_bev = torch.flip(seg_bev, dims=[2]) + + # 测试下方向 + #seg_bev = bev_embed.reshape(self.bev_h, self.bev_w, bs, -1).permute(2, 3, 0, 1) + #seg_bev = torch.rot90(seg_bev, k=1, dims=[2, 3]) + # TEST 03 顺时针旋转90度 small_seg_rot90.py 最符合常理的 small_seg_rot90.py # 14%mIOU ❌ + #seg_bev = bev_embed.reshape(self.bev_h, self.bev_w, bs, -1).permute(2, 3, 0, 1) + #seg_bev = torch.rot90(seg_bev, k=-1, dims=[2, 3]) + + # TEST 04 顺时针旋转90度 small_seg_rot90.py 最符合常理的 + #seg_bev = bev_embed.reshape(self.bev_h, self.bev_w, bs, -1).permute(2, 3, 1, 0) + #seg_bev = torch.rot90(seg_bev, k=-1, dims=[2, 3]) + + #-------------------------------------------------# + # TEST05 这里不改变,将分割图转换成车辆向前而不是向右 + # seg_bev = bev_embed.reshape(self.bev_h, self.bev_w, bs, -1).permute(2, 3, 0, 1) + + # TEST06 这里不改变,将分割图转换成车辆向前而不是向右 + # seg_bev = bev_embed.reshape(self.bev_h, self.bev_w, bs, -1).permute(2, 3, 1, 0) + + # crop 分割区域并插值到分割标注的尺寸 + seg_bev = self.feat_cropper(seg_bev) + # 这里要注意特征图大小 + seg_pred = self.seg_decoder(seg_bev) + + if self.task.get('det'): + hs = hs.permute(0, 2, 1, 3) + outputs_classes = [] + outputs_coords = [] + for lvl in range(hs.shape[0]): + if lvl == 0: + reference = init_reference + else: + reference = inter_references[lvl - 1] + reference = inverse_sigmoid(reference) + outputs_class = self.cls_branches[lvl](hs[lvl]) + tmp = self.reg_branches[lvl](hs[lvl]) + + # TODO: check the shape of reference + assert reference.shape[-1] == 3 + tmp[..., 0:2] += reference[..., 0:2] + tmp[..., 0:2] = tmp[..., 0:2].sigmoid() + tmp[..., 4:5] += reference[..., 2:3] + tmp[..., 4:5] = tmp[..., 4:5].sigmoid() + tmp[..., 0:1] = (tmp[..., 0:1] * (self.pc_range[3] - + self.pc_range[0]) + self.pc_range[0]) + tmp[..., 1:2] = (tmp[..., 1:2] * (self.pc_range[4] - + self.pc_range[1]) + self.pc_range[1]) + tmp[..., 4:5] = (tmp[..., 4:5] * (self.pc_range[5] - + self.pc_range[2]) + self.pc_range[2]) + + # TODO: check if using sigmoid + outputs_coord = tmp + outputs_classes.append(outputs_class) + outputs_coords.append(outputs_coord) + + outputs_classes = torch.stack(outputs_classes) + outputs_coords = torch.stack(outputs_coords) + + if self.task.get('seg') and self.task.get('det'): + outs = { + 'bev_embed': bev_embed, + 'all_cls_scores': outputs_classes, + 'all_bbox_preds': outputs_coords, + 'enc_cls_scores': None, + 'enc_bbox_preds': None, + 'seg_preds': seg_pred + } + + return outs + + if self.task.get('seg'): + outs = { + 'bev_embed': bev_embed, + 'seg_preds': seg_pred + } + + return outs + + if self.task.get('det'): + outs = { + 'bev_embed': bev_embed, + 'all_cls_scores': outputs_classes, + 'all_bbox_preds': outputs_coords, + 'enc_cls_scores': None, + 'enc_bbox_preds': None + } + + return outs + + def _get_target_single(self, + cls_score, + bbox_pred, + gt_labels, + gt_bboxes, + gt_bboxes_ignore=None): + """"Compute regression and classification targets for one image. + Outputs from a single decoder layer of a single feature level are used. + Args: + cls_score (Tensor): Box score logits from a single decoder layer + for one image. Shape [num_query, cls_out_channels]. + bbox_pred (Tensor): Sigmoid outputs from a single decoder layer + for one image, with normalized coordinate (cx, cy, w, h) and + shape [num_query, 4]. + gt_bboxes (Tensor): Ground truth bboxes for one image with + shape (num_gts, 4) in [tl_x, tl_y, br_x, br_y] format. + gt_labels (Tensor): Ground truth class indices for one image + with shape (num_gts, ). + gt_bboxes_ignore (Tensor, optional): Bounding boxes + which can be ignored. Default None. + Returns: + tuple[Tensor]: a tuple containing the following for one image. + - labels (Tensor): Labels of each image. + - label_weights (Tensor]): Label weights of each image. + - bbox_targets (Tensor): BBox targets of each image. + - bbox_weights (Tensor): BBox weights of each image. + - pos_inds (Tensor): Sampled positive indices for each image. + - neg_inds (Tensor): Sampled negative indices for each image. + """ + + num_bboxes = bbox_pred.size(0) + # assigner and sampler + gt_c = gt_bboxes.shape[-1] + + assign_result = self.assigner.assign(bbox_pred, cls_score, gt_bboxes, + gt_labels, gt_bboxes_ignore) + + sampling_result = self.sampler.sample(assign_result, bbox_pred, + gt_bboxes) + pos_inds = sampling_result.pos_inds + neg_inds = sampling_result.neg_inds + + # label targets + labels = gt_bboxes.new_full((num_bboxes,), + self.num_classes, + dtype=torch.long) + labels[pos_inds] = gt_labels[sampling_result.pos_assigned_gt_inds] + label_weights = gt_bboxes.new_ones(num_bboxes) + + # bbox targets + bbox_targets = torch.zeros_like(bbox_pred)[..., :gt_c] + bbox_weights = torch.zeros_like(bbox_pred) + bbox_weights[pos_inds] = 1.0 + + # DETR + bbox_targets[pos_inds] = sampling_result.pos_gt_bboxes + return (labels, label_weights, bbox_targets, bbox_weights, + pos_inds, neg_inds) + + def get_targets(self, + cls_scores_list, + bbox_preds_list, + gt_bboxes_list, + gt_labels_list, + gt_bboxes_ignore_list=None): + """"Compute regression and classification targets for a batch image. + Outputs from a single decoder layer of a single feature level are used. + Args: + cls_scores_list (list[Tensor]): Box score logits from a single + decoder layer for each image with shape [num_query, + cls_out_channels]. + bbox_preds_list (list[Tensor]): Sigmoid outputs from a single + decoder layer for each image, with normalized coordinate + (cx, cy, w, h) and shape [num_query, 4]. + gt_bboxes_list (list[Tensor]): Ground truth bboxes for each image + with shape (num_gts, 4) in [tl_x, tl_y, br_x, br_y] format. + gt_labels_list (list[Tensor]): Ground truth class indices for each + image with shape (num_gts, ). + gt_bboxes_ignore_list (list[Tensor], optional): Bounding + boxes which can be ignored for each image. Default None. + Returns: + tuple: a tuple containing the following targets. + - labels_list (list[Tensor]): Labels for all images. + - label_weights_list (list[Tensor]): Label weights for all \ + images. + - bbox_targets_list (list[Tensor]): BBox targets for all \ + images. + - bbox_weights_list (list[Tensor]): BBox weights for all \ + images. + - num_total_pos (int): Number of positive samples in all \ + images. + - num_total_neg (int): Number of negative samples in all \ + images. + """ + assert gt_bboxes_ignore_list is None, \ + 'Only supports for gt_bboxes_ignore setting to None.' + num_imgs = len(cls_scores_list) + gt_bboxes_ignore_list = [ + gt_bboxes_ignore_list for _ in range(num_imgs) + ] + + (labels_list, label_weights_list, bbox_targets_list, + bbox_weights_list, pos_inds_list, neg_inds_list) = multi_apply( + self._get_target_single, cls_scores_list, bbox_preds_list, + gt_labels_list, gt_bboxes_list, gt_bboxes_ignore_list) + num_total_pos = sum((inds.numel() for inds in pos_inds_list)) + num_total_neg = sum((inds.numel() for inds in neg_inds_list)) + return (labels_list, label_weights_list, bbox_targets_list, + bbox_weights_list, num_total_pos, num_total_neg) + + def loss_single(self, + cls_scores, + bbox_preds, + gt_bboxes_list, + gt_labels_list, + gt_bboxes_ignore_list=None): + """"Loss function for outputs from a single decoder layer of a single + feature level. + Args: + cls_scores (Tensor): Box score logits from a single decoder layer + for all images. Shape [bs, num_query, cls_out_channels]. + bbox_preds (Tensor): Sigmoid outputs from a single decoder layer + for all images, with normalized coordinate (cx, cy, w, h) and + shape [bs, num_query, 4]. + gt_bboxes_list (list[Tensor]): Ground truth bboxes for each image + with shape (num_gts, 4) in [tl_x, tl_y, br_x, br_y] format. + gt_labels_list (list[Tensor]): Ground truth class indices for each + image with shape (num_gts, ). + gt_bboxes_ignore_list (list[Tensor], optional): Bounding + boxes which can be ignored for each image. Default None. + Returns: + dict[str, Tensor]: A dictionary of loss components for outputs from + a single decoder layer. + """ + num_imgs = cls_scores.size(0) + cls_scores_list = [cls_scores[i] for i in range(num_imgs)] + bbox_preds_list = [bbox_preds[i] for i in range(num_imgs)] + cls_reg_targets = self.get_targets(cls_scores_list, bbox_preds_list, + gt_bboxes_list, gt_labels_list, + gt_bboxes_ignore_list) + (labels_list, label_weights_list, bbox_targets_list, bbox_weights_list, + num_total_pos, num_total_neg) = cls_reg_targets + labels = torch.cat(labels_list, 0) + label_weights = torch.cat(label_weights_list, 0) + bbox_targets = torch.cat(bbox_targets_list, 0) + bbox_weights = torch.cat(bbox_weights_list, 0) + + # classification loss + cls_scores = cls_scores.reshape(-1, self.cls_out_channels) + # construct weighted avg_factor to match with the official DETR repo + cls_avg_factor = num_total_pos * 1.0 + \ + num_total_neg * self.bg_cls_weight + if self.sync_cls_avg_factor: + cls_avg_factor = reduce_mean( + cls_scores.new_tensor([cls_avg_factor])) + + cls_avg_factor = max(cls_avg_factor, 1) + loss_cls = self.loss_cls( + cls_scores, labels, label_weights, avg_factor=cls_avg_factor) + + # Compute the average number of gt boxes accross all gpus, for + # normalization purposes + num_total_pos = loss_cls.new_tensor([num_total_pos]) + num_total_pos = torch.clamp(reduce_mean(num_total_pos), min=1).item() + + # regression L1 loss + bbox_preds = bbox_preds.reshape(-1, bbox_preds.size(-1)) + normalized_bbox_targets = normalize_bbox(bbox_targets, self.pc_range) + isnotnan = torch.isfinite(normalized_bbox_targets).all(dim=-1) + bbox_weights = bbox_weights * self.code_weights + + loss_bbox = self.loss_bbox( + bbox_preds[isnotnan, :10], normalized_bbox_targets[isnotnan, + :10], bbox_weights[isnotnan, :10], + avg_factor=num_total_pos) + if digit_version(TORCH_VERSION) >= digit_version('1.8'): + loss_cls = torch.nan_to_num(loss_cls) + loss_bbox = torch.nan_to_num(loss_bbox) + return loss_cls, loss_bbox + + @force_fp32(apply_to=('preds_dicts')) + def seg_loss(self, semantic_gt, pred_dicts): + """ + add segmentation task loss + """ + loss_dict = dict() + seg_preds = pred_dicts['seg_preds'] + seg_loss = self.loss_seg(seg_preds, semantic_gt) + loss_dict['loss_seg'] = seg_loss + return loss_dict + + @force_fp32(apply_to=('preds_dicts')) + def loss(self, + gt_bboxes_list, + gt_labels_list, + preds_dicts, + gt_bboxes_ignore=None, + img_metas=None): + """"Loss function. + Args: + + gt_bboxes_list (list[Tensor]): Ground truth bboxes for each image + with shape (num_gts, 4) in [tl_x, tl_y, br_x, br_y] format. + gt_labels_list (list[Tensor]): Ground truth class indices for each + image with shape (num_gts, ). + preds_dicts: + all_cls_scores (Tensor): Classification score of all + decoder layers, has shape + [nb_dec, bs, num_query, cls_out_channels]. + all_bbox_preds (Tensor): Sigmoid regression + outputs of all decode layers. Each is a 4D-tensor with + normalized coordinate format (cx, cy, w, h) and shape + [nb_dec, bs, num_query, 4]. + enc_cls_scores (Tensor): Classification scores of + points on encode feature map , has shape + (N, h*w, num_classes). Only be passed when as_two_stage is + True, otherwise is None. + enc_bbox_preds (Tensor): Regression results of each points + on the encode feature map, has shape (N, h*w, 4). Only be + passed when as_two_stage is True, otherwise is None. + gt_bboxes_ignore (list[Tensor], optional): Bounding boxes + which can be ignored for each image. Default None. + Returns: + dict[str, Tensor]: A dictionary of loss components. + """ + assert gt_bboxes_ignore is None, \ + f'{self.__class__.__name__} only supports ' \ + f'for gt_bboxes_ignore setting to None.' + + all_cls_scores = preds_dicts['all_cls_scores'] + all_bbox_preds = preds_dicts['all_bbox_preds'] + enc_cls_scores = preds_dicts['enc_cls_scores'] + enc_bbox_preds = preds_dicts['enc_bbox_preds'] + + num_dec_layers = len(all_cls_scores) + device = gt_labels_list[0].device + + gt_bboxes_list = [torch.cat( + (gt_bboxes.gravity_center, gt_bboxes.tensor[:, 3:]), + dim=1).to(device) for gt_bboxes in gt_bboxes_list] + + all_gt_bboxes_list = [gt_bboxes_list for _ in range(num_dec_layers)] + all_gt_labels_list = [gt_labels_list for _ in range(num_dec_layers)] + all_gt_bboxes_ignore_list = [ + gt_bboxes_ignore for _ in range(num_dec_layers) + ] + + losses_cls, losses_bbox = multi_apply( + self.loss_single, all_cls_scores, all_bbox_preds, + all_gt_bboxes_list, all_gt_labels_list, + all_gt_bboxes_ignore_list) + + loss_dict = dict() + # loss of proposal generated from encode feature map. + if enc_cls_scores is not None: + binary_labels_list = [ + torch.zeros_like(gt_labels_list[i]) + for i in range(len(all_gt_labels_list)) + ] + enc_loss_cls, enc_losses_bbox = \ + self.loss_single(enc_cls_scores, enc_bbox_preds, + gt_bboxes_list, binary_labels_list, gt_bboxes_ignore) + loss_dict['enc_loss_cls'] = enc_loss_cls + loss_dict['enc_loss_bbox'] = enc_losses_bbox + + # loss from the last decoder layer + loss_dict['loss_cls'] = losses_cls[-1] + loss_dict['loss_bbox'] = losses_bbox[-1] + + # loss from other decoder layers + num_dec_layer = 0 + for loss_cls_i, loss_bbox_i in zip(losses_cls[:-1], + losses_bbox[:-1]): + loss_dict[f'd{num_dec_layer}.loss_cls'] = loss_cls_i + loss_dict[f'd{num_dec_layer}.loss_bbox'] = loss_bbox_i + num_dec_layer += 1 + return loss_dict + + @force_fp32(apply_to=('preds_dicts')) + def get_bboxes(self, preds_dicts, img_metas, rescale=False): + """Generate bboxes from bbox head predictions. + Args: + preds_dicts (tuple[list[dict]]): Prediction results. + img_metas (list[dict]): Point cloud and image's meta info. + Returns: + list[dict]: Decoded bbox, scores and labels after nms. + """ + + preds_dicts = self.bbox_coder.decode(preds_dicts) + + num_samples = len(preds_dicts) + ret_list = [] + for i in range(num_samples): + preds = preds_dicts[i] + bboxes = preds['bboxes'] + + bboxes[:, 2] = bboxes[:, 2] - bboxes[:, 5] * 0.5 + + code_size = bboxes.shape[-1] + bboxes = img_metas[i]['box_type_3d'](bboxes, code_size) + scores = preds['scores'] + labels = preds['labels'] + + ret_list.append([bboxes, scores, labels]) + + return ret_list diff --git a/projects/mmdet3d_plugin/bevformer/dense_heads/bevformer_seg_head.py b/projects/mmdet3d_plugin/bevformer/dense_heads/bevformer_seg_head.py new file mode 100644 index 0000000..0bf459e --- /dev/null +++ b/projects/mmdet3d_plugin/bevformer/dense_heads/bevformer_seg_head.py @@ -0,0 +1,663 @@ +# --------------------------------------------- +# Copyright (c) OpenMMLab. All rights reserved. +# --------------------------------------------- +# Modified by Zhiqi Li +# --------------------------------------------- + +import copy +import torch +import torch.nn as nn +import torch.nn.functional as F +from mmcv.cnn import Linear, bias_init_with_prob +from mmcv.utils import TORCH_VERSION, digit_version + +from mmdet.core import (multi_apply, reduce_mean) +from mmdet.models.utils.transformer import inverse_sigmoid +from mmdet.models import HEADS +from mmdet.models.dense_heads import DETRHead +from mmdet3d.core.bbox.coders import build_bbox_coder +from projects.mmdet3d_plugin.core.bbox.util import normalize_bbox +from mmcv.runner import force_fp32, auto_fp16 +from ..modules.builder import build_seg_encoder +#from mmdet.models.builder import build_loss +from mmseg.models.builder import build_loss +from mmdet.models.dense_heads.base_dense_head import BaseDenseHead +from mmdet.models.dense_heads.dense_test_mixins import BBoxTestMixin + +from mmdet.models.utils import build_transformer + +def calculate_birds_eye_view_parameters(x_bounds, y_bounds, z_bounds): + """ + Parameters + ---------- + x_bounds: Forward direction in the ego-car. + y_bounds: Sides + z_bounds: Height + + Returns + ------- + bev_resolution: Bird's-eye view bev_resolution + bev_start_position Bird's-eye view first element + bev_dimension Bird's-eye view tensor spatial dimension + """ + bev_resolution = torch.tensor( + [row[2] for row in [x_bounds, y_bounds, z_bounds]]) + bev_start_position = torch.tensor( + [row[0] + row[2] / 2.0 for row in [x_bounds, y_bounds, z_bounds]]) + bev_dimension = torch.tensor([(row[1] - row[0]) / row[2] + for row in [x_bounds, y_bounds, z_bounds]], dtype=torch.long) + + return bev_resolution, bev_start_position, bev_dimension + + +class BevFeatureSlicer(nn.Module): + # crop the interested area in BEV feature for semantic map segmentation + def __init__(self, grid_conf, map_grid_conf): + super().__init__() + + if grid_conf == map_grid_conf: + self.identity_mapping = True + else: + self.identity_mapping = False + + bev_resolution, bev_start_position, bev_dimension = calculate_birds_eye_view_parameters( + grid_conf['xbound'], grid_conf['ybound'], grid_conf['zbound'], + ) + + map_bev_resolution, map_bev_start_position, map_bev_dimension = calculate_birds_eye_view_parameters( + map_grid_conf['xbound'], map_grid_conf['ybound'], map_grid_conf['zbound'], + ) + + self.map_x = torch.arange( + map_bev_start_position[0], map_grid_conf['xbound'][1], map_bev_resolution[0]) + + self.map_y = torch.arange( + map_bev_start_position[1], map_grid_conf['ybound'][1], map_bev_resolution[1]) + + # convert to normalized coords + self.norm_map_x = self.map_x / (- bev_start_position[0]) + self.norm_map_y = self.map_y / (- bev_start_position[1]) + # vision 1 失败 + self.map_grid = torch.stack(torch.meshgrid( + self.norm_map_x, self.norm_map_y), dim=2).permute(1, 0, 2) + + # self.map_grid = torch.stack(torch.meshgrid( + # self.norm_map_x, self.norm_map_y, indexing='xy'), dim=2) + + # vision 2 test + # self.map_grid = torch.stack(torch.meshgrid( + # self.norm_map_x, self.norm_map_y), dim=2) + + def forward(self, x): + # x: bev feature map tensor of shape (b, c, h, w) + if self.identity_mapping: + return x + else: + grid = self.map_grid.unsqueeze(0).type_as( + x).repeat(x.shape[0], 1, 1, 1) + + return F.grid_sample(x, grid=grid, mode='bilinear', align_corners=True) + +@HEADS.register_module() +class BEVFormerHead_seg(BaseDenseHead, BBoxTestMixin): + """Head of Detr3D. + Args: + with_box_refine (bool): Whether to refine the reference points + in the decoder. Defaults to False. + as_two_stage (bool) : Whether to generate the proposal from + the outputs of encoder. + transformer (obj:`ConfigDict`): ConfigDict is used for building + the Encoder and Decoder. + bev_h, bev_w (int): spatial shape of BEV queries. + """ + + def __init__(self, + *args, + with_box_refine=False, + as_two_stage=False, + transformer=None, + bbox_coder=None, + seg_encoder=None, + loss_seg=None, + num_cls_fcs=2, + code_weights=None, + bev_h=30, + bev_w=30, + task=None, + det_grid_conf=None, + map_grid_conf=None, + init_cfg=None, + **kwargs): + super(BEVFormerHead_seg, self).__init__(init_cfg) + self.bev_h = bev_h + self.bev_w = bev_w + self.fp16_enabled = False + + self.with_box_refine = with_box_refine + self.as_two_stage = as_two_stage + if self.as_two_stage: + transformer['as_two_stage'] = self.as_two_stage + if 'code_size' in kwargs: + self.code_size = kwargs['code_size'] + else: + self.code_size = 10 + if code_weights is not None: + self.code_weights = code_weights + else: + self.code_weights = [1.0, 1.0, 1.0, + 1.0, 1.0, 1.0, 1.0, 1.0, 0.2, 0.2] + + # TODO + # add muti task,用于确定这三种任务 + self.task = task + self.bbox_coder = build_bbox_coder(bbox_coder) + self.transformer = build_transformer(transformer) + self.embed_dims = self.transformer.embed_dims + self.pc_range = self.bbox_coder.pc_range + self.real_w = self.pc_range[3] - self.pc_range[0] + self.real_h = self.pc_range[4] - self.pc_range[1] + self.num_cls_fcs = num_cls_fcs - 1 + self.code_weights = nn.Parameter(torch.tensor( + self.code_weights, requires_grad=False), requires_grad=False) + # 如果包含分割任务,则实例化分割子网络以及loss + if self.task.get('seg'): + self.map_grid_conf = map_grid_conf + self.det_grid_conf = det_grid_conf + self.feat_cropper = BevFeatureSlicer(self.det_grid_conf, self.map_grid_conf) + self.seg_decoder = build_seg_encoder(seg_encoder) + self.loss_seg = build_loss(loss_seg) + + def _init_layers(self): + """Initialize classification branch and regression branch of head.""" + # 初始化网络层参数时需要根据任务本身来进行 + if self.task.get('det'): + cls_branch = [] + for _ in range(self.num_reg_fcs): + cls_branch.append(Linear(self.embed_dims, self.embed_dims)) + cls_branch.append(nn.LayerNorm(self.embed_dims)) + cls_branch.append(nn.ReLU(inplace=True)) + cls_branch.append(Linear(self.embed_dims, self.cls_out_channels)) + fc_cls = nn.Sequential(*cls_branch) + + reg_branch = [] + for _ in range(self.num_reg_fcs): + reg_branch.append(Linear(self.embed_dims, self.embed_dims)) + reg_branch.append(nn.ReLU()) + reg_branch.append(Linear(self.embed_dims, self.code_size)) + reg_branch = nn.Sequential(*reg_branch) + + def _get_clones(module, N): + return nn.ModuleList([copy.deepcopy(module) for i in range(N)]) + + # last reg_branch is used to generate proposal from + # encode feature map when as_two_stage is True. + num_pred = (self.transformer.decoder.num_layers + 1) if \ + self.as_two_stage else self.transformer.decoder.num_layers + + if self.with_box_refine: + self.cls_branches = _get_clones(fc_cls, num_pred) + self.reg_branches = _get_clones(reg_branch, num_pred) + else: + self.cls_branches = nn.ModuleList( + [fc_cls for _ in range(num_pred)]) + self.reg_branches = nn.ModuleList( + [reg_branch for _ in range(num_pred)]) + # 这里的二阶段没有看懂用途,这里不改变作者原有配置 + if not self.as_two_stage: + self.bev_embedding = nn.Embedding( + self.bev_h * self.bev_w, self.embed_dims) + self.query_embedding = nn.Embedding(self.num_query, + self.embed_dims * 2) + + def init_weights(self): + """Initialize weights of the DeformDETR head.""" + self.transformer.init_weights() + # 如果有检测任务,才初始化分类分支 + if self.task.get('det'): + if self.loss_cls.use_sigmoid: + bias_init = bias_init_with_prob(0.01) + for m in self.cls_branches: + nn.init.constant_(m[-1].bias, bias_init) + + @auto_fp16(apply_to=('mlvl_feats')) + def forward(self, mlvl_feats, img_metas, prev_bev=None, only_bev=False): + """Forward function. + Args: + mlvl_feats (tuple[Tensor]): Features from the upstream + network, each is a 5D-tensor with shape + (B, N, C, H, W). + prev_bev: previous bev featues + only_bev: only compute BEV features with encoder. + Returns: + all_cls_scores (Tensor): Outputs from the classification head, \ + shape [nb_dec, bs, num_query, cls_out_channels]. Note \ + cls_out_channels should includes background. + all_bbox_preds (Tensor): Sigmoid outputs from the regression \ + head with normalized coordinate format (cx, cy, w, l, cz, h, theta, vx, vy). \ + Shape [nb_dec, bs, num_query, 9]. + """ + + bs, num_cam, _, _, _ = mlvl_feats[0].shape + dtype = mlvl_feats[0].dtype + object_query_embeds = self.query_embedding.weight.to(dtype) + bev_queries = self.bev_embedding.weight.to(dtype) + + bev_mask = torch.zeros((bs, self.bev_h, self.bev_w), + device=bev_queries.device).to(dtype) + bev_pos = self.positional_encoding(bev_mask).to(dtype) + + if only_bev: # only use encoder to obtain BEV features, TODO: refine the workaround + return self.transformer.get_bev_features( + mlvl_feats, + bev_queries, + self.bev_h, + self.bev_w, + grid_length=(self.real_h / self.bev_h, + self.real_w / self.bev_w), + bev_pos=bev_pos, + img_metas=img_metas, + prev_bev=prev_bev, + ) + else: + outputs = self.transformer( + mlvl_feats, + bev_queries, + object_query_embeds, + self.bev_h, + self.bev_w, + grid_length=(self.real_h / self.bev_h, + self.real_w / self.bev_w), + bev_pos=bev_pos, + reg_branches=self.reg_branches if self.with_box_refine else None, # noqa:E501 + cls_branches=self.cls_branches if self.as_two_stage else None, + img_metas=img_metas, + prev_bev=prev_bev + ) + + bev_embed, hs, init_reference, inter_references = outputs + + # add segmentation task + # TODO : 添加分割任务预测网络 + if self.task.get('seg'): + # bev_queries(Tensor): (bev_h * bev_w, bs, c) 这是一个非常重要的地方,但是感觉这样的操作并无不同 + seg_bev = bev_embed.reshape(self.bev_h, self.bev_w, bs, -1).permute(2, 3, 0, 1) + + # 将bev空间特征从lidar系转换到图像系 + seg_bev = torch.rot90(seg_bev, k=-1, dims=[2, 3]) + seg_bev = torch.flip(seg_bev, dims=[3]) + # crop 分割区域并插值到分割标注的尺寸 + seg_bev = self.feat_cropper(seg_bev) + # 这里要注意特征图大小 + seg_pred = self.seg_decoder(seg_bev) + + if self.task.get('det'): + hs = hs.permute(0, 2, 1, 3) + outputs_classes = [] + outputs_coords = [] + for lvl in range(hs.shape[0]): + if lvl == 0: + reference = init_reference + else: + reference = inter_references[lvl - 1] + reference = inverse_sigmoid(reference) + outputs_class = self.cls_branches[lvl](hs[lvl]) + tmp = self.reg_branches[lvl](hs[lvl]) + + # TODO: check the shape of reference + assert reference.shape[-1] == 3 + tmp[..., 0:2] += reference[..., 0:2] + tmp[..., 0:2] = tmp[..., 0:2].sigmoid() + tmp[..., 4:5] += reference[..., 2:3] + tmp[..., 4:5] = tmp[..., 4:5].sigmoid() + tmp[..., 0:1] = (tmp[..., 0:1] * (self.pc_range[3] - + self.pc_range[0]) + self.pc_range[0]) + tmp[..., 1:2] = (tmp[..., 1:2] * (self.pc_range[4] - + self.pc_range[1]) + self.pc_range[1]) + tmp[..., 4:5] = (tmp[..., 4:5] * (self.pc_range[5] - + self.pc_range[2]) + self.pc_range[2]) + + # TODO: check if using sigmoid + outputs_coord = tmp + outputs_classes.append(outputs_class) + outputs_coords.append(outputs_coord) + + outputs_classes = torch.stack(outputs_classes) + outputs_coords = torch.stack(outputs_coords) + + if self.task.get('seg') and self.task.get('det'): + outs = { + 'bev_embed': bev_embed, + 'all_cls_scores': outputs_classes, + 'all_bbox_preds': outputs_coords, + 'enc_cls_scores': None, + 'enc_bbox_preds': None, + 'seg_preds': seg_pred + } + + return outs + + if self.task.get('seg'): + outs = { + 'bev_embed': bev_embed, + 'seg_preds': seg_pred + } + + return outs + + if self.task.get('det'): + outs = { + 'bev_embed': bev_embed, + 'all_cls_scores': outputs_classes, + 'all_bbox_preds': outputs_coords, + 'enc_cls_scores': None, + 'enc_bbox_preds': None + } + + return outs + + def _get_target_single(self, + cls_score, + bbox_pred, + gt_labels, + gt_bboxes, + gt_bboxes_ignore=None): + """"Compute regression and classification targets for one image. + Outputs from a single decoder layer of a single feature level are used. + Args: + cls_score (Tensor): Box score logits from a single decoder layer + for one image. Shape [num_query, cls_out_channels]. + bbox_pred (Tensor): Sigmoid outputs from a single decoder layer + for one image, with normalized coordinate (cx, cy, w, h) and + shape [num_query, 4]. + gt_bboxes (Tensor): Ground truth bboxes for one image with + shape (num_gts, 4) in [tl_x, tl_y, br_x, br_y] format. + gt_labels (Tensor): Ground truth class indices for one image + with shape (num_gts, ). + gt_bboxes_ignore (Tensor, optional): Bounding boxes + which can be ignored. Default None. + Returns: + tuple[Tensor]: a tuple containing the following for one image. + - labels (Tensor): Labels of each image. + - label_weights (Tensor]): Label weights of each image. + - bbox_targets (Tensor): BBox targets of each image. + - bbox_weights (Tensor): BBox weights of each image. + - pos_inds (Tensor): Sampled positive indices for each image. + - neg_inds (Tensor): Sampled negative indices for each image. + """ + + num_bboxes = bbox_pred.size(0) + # assigner and sampler + gt_c = gt_bboxes.shape[-1] + + assign_result = self.assigner.assign(bbox_pred, cls_score, gt_bboxes, + gt_labels, gt_bboxes_ignore) + + sampling_result = self.sampler.sample(assign_result, bbox_pred, + gt_bboxes) + pos_inds = sampling_result.pos_inds + neg_inds = sampling_result.neg_inds + + # label targets + labels = gt_bboxes.new_full((num_bboxes,), + self.num_classes, + dtype=torch.long) + labels[pos_inds] = gt_labels[sampling_result.pos_assigned_gt_inds] + label_weights = gt_bboxes.new_ones(num_bboxes) + + # bbox targets + bbox_targets = torch.zeros_like(bbox_pred)[..., :gt_c] + bbox_weights = torch.zeros_like(bbox_pred) + bbox_weights[pos_inds] = 1.0 + + # DETR + bbox_targets[pos_inds] = sampling_result.pos_gt_bboxes + return (labels, label_weights, bbox_targets, bbox_weights, + pos_inds, neg_inds) + + def get_targets(self, + cls_scores_list, + bbox_preds_list, + gt_bboxes_list, + gt_labels_list, + gt_bboxes_ignore_list=None): + """"Compute regression and classification targets for a batch image. + Outputs from a single decoder layer of a single feature level are used. + Args: + cls_scores_list (list[Tensor]): Box score logits from a single + decoder layer for each image with shape [num_query, + cls_out_channels]. + bbox_preds_list (list[Tensor]): Sigmoid outputs from a single + decoder layer for each image, with normalized coordinate + (cx, cy, w, h) and shape [num_query, 4]. + gt_bboxes_list (list[Tensor]): Ground truth bboxes for each image + with shape (num_gts, 4) in [tl_x, tl_y, br_x, br_y] format. + gt_labels_list (list[Tensor]): Ground truth class indices for each + image with shape (num_gts, ). + gt_bboxes_ignore_list (list[Tensor], optional): Bounding + boxes which can be ignored for each image. Default None. + Returns: + tuple: a tuple containing the following targets. + - labels_list (list[Tensor]): Labels for all images. + - label_weights_list (list[Tensor]): Label weights for all \ + images. + - bbox_targets_list (list[Tensor]): BBox targets for all \ + images. + - bbox_weights_list (list[Tensor]): BBox weights for all \ + images. + - num_total_pos (int): Number of positive samples in all \ + images. + - num_total_neg (int): Number of negative samples in all \ + images. + """ + assert gt_bboxes_ignore_list is None, \ + 'Only supports for gt_bboxes_ignore setting to None.' + num_imgs = len(cls_scores_list) + gt_bboxes_ignore_list = [ + gt_bboxes_ignore_list for _ in range(num_imgs) + ] + + (labels_list, label_weights_list, bbox_targets_list, + bbox_weights_list, pos_inds_list, neg_inds_list) = multi_apply( + self._get_target_single, cls_scores_list, bbox_preds_list, + gt_labels_list, gt_bboxes_list, gt_bboxes_ignore_list) + num_total_pos = sum((inds.numel() for inds in pos_inds_list)) + num_total_neg = sum((inds.numel() for inds in neg_inds_list)) + return (labels_list, label_weights_list, bbox_targets_list, + bbox_weights_list, num_total_pos, num_total_neg) + + def loss_single(self, + cls_scores, + bbox_preds, + gt_bboxes_list, + gt_labels_list, + gt_bboxes_ignore_list=None): + """"Loss function for outputs from a single decoder layer of a single + feature level. + Args: + cls_scores (Tensor): Box score logits from a single decoder layer + for all images. Shape [bs, num_query, cls_out_channels]. + bbox_preds (Tensor): Sigmoid outputs from a single decoder layer + for all images, with normalized coordinate (cx, cy, w, h) and + shape [bs, num_query, 4]. + gt_bboxes_list (list[Tensor]): Ground truth bboxes for each image + with shape (num_gts, 4) in [tl_x, tl_y, br_x, br_y] format. + gt_labels_list (list[Tensor]): Ground truth class indices for each + image with shape (num_gts, ). + gt_bboxes_ignore_list (list[Tensor], optional): Bounding + boxes which can be ignored for each image. Default None. + Returns: + dict[str, Tensor]: A dictionary of loss components for outputs from + a single decoder layer. + """ + num_imgs = cls_scores.size(0) + cls_scores_list = [cls_scores[i] for i in range(num_imgs)] + bbox_preds_list = [bbox_preds[i] for i in range(num_imgs)] + cls_reg_targets = self.get_targets(cls_scores_list, bbox_preds_list, + gt_bboxes_list, gt_labels_list, + gt_bboxes_ignore_list) + (labels_list, label_weights_list, bbox_targets_list, bbox_weights_list, + num_total_pos, num_total_neg) = cls_reg_targets + labels = torch.cat(labels_list, 0) + label_weights = torch.cat(label_weights_list, 0) + bbox_targets = torch.cat(bbox_targets_list, 0) + bbox_weights = torch.cat(bbox_weights_list, 0) + + # classification loss + cls_scores = cls_scores.reshape(-1, self.cls_out_channels) + # construct weighted avg_factor to match with the official DETR repo + cls_avg_factor = num_total_pos * 1.0 + \ + num_total_neg * self.bg_cls_weight + if self.sync_cls_avg_factor: + cls_avg_factor = reduce_mean( + cls_scores.new_tensor([cls_avg_factor])) + + cls_avg_factor = max(cls_avg_factor, 1) + loss_cls = self.loss_cls( + cls_scores, labels, label_weights, avg_factor=cls_avg_factor) + + # Compute the average number of gt boxes accross all gpus, for + # normalization purposes + num_total_pos = loss_cls.new_tensor([num_total_pos]) + num_total_pos = torch.clamp(reduce_mean(num_total_pos), min=1).item() + + # regression L1 loss + bbox_preds = bbox_preds.reshape(-1, bbox_preds.size(-1)) + normalized_bbox_targets = normalize_bbox(bbox_targets, self.pc_range) + isnotnan = torch.isfinite(normalized_bbox_targets).all(dim=-1) + bbox_weights = bbox_weights * self.code_weights + + loss_bbox = self.loss_bbox( + bbox_preds[isnotnan, :10], normalized_bbox_targets[isnotnan, + :10], bbox_weights[isnotnan, :10], + avg_factor=num_total_pos) + if digit_version(TORCH_VERSION) >= digit_version('1.8'): + loss_cls = torch.nan_to_num(loss_cls) + loss_bbox = torch.nan_to_num(loss_bbox) + return loss_cls, loss_bbox + + @force_fp32(apply_to=('preds_dicts')) + def seg_loss(self, semantic_gt, pred_dicts): + """ + add segmentation task loss + """ + loss_dict = dict() + seg_preds = pred_dicts['seg_preds'] + seg_loss = self.loss_seg(seg_preds, semantic_gt) + loss_dict['loss_seg'] = seg_loss + return loss_dict + + @force_fp32(apply_to=('preds_dicts')) + def loss(self, + gt_bboxes_list, + gt_labels_list, + preds_dicts, + gt_bboxes_ignore=None, + img_metas=None): + """"Loss function. + Args: + + gt_bboxes_list (list[Tensor]): Ground truth bboxes for each image + with shape (num_gts, 4) in [tl_x, tl_y, br_x, br_y] format. + gt_labels_list (list[Tensor]): Ground truth class indices for each + image with shape (num_gts, ). + preds_dicts: + all_cls_scores (Tensor): Classification score of all + decoder layers, has shape + [nb_dec, bs, num_query, cls_out_channels]. + all_bbox_preds (Tensor): Sigmoid regression + outputs of all decode layers. Each is a 4D-tensor with + normalized coordinate format (cx, cy, w, h) and shape + [nb_dec, bs, num_query, 4]. + enc_cls_scores (Tensor): Classification scores of + points on encode feature map , has shape + (N, h*w, num_classes). Only be passed when as_two_stage is + True, otherwise is None. + enc_bbox_preds (Tensor): Regression results of each points + on the encode feature map, has shape (N, h*w, 4). Only be + passed when as_two_stage is True, otherwise is None. + gt_bboxes_ignore (list[Tensor], optional): Bounding boxes + which can be ignored for each image. Default None. + Returns: + dict[str, Tensor]: A dictionary of loss components. + """ + assert gt_bboxes_ignore is None, \ + f'{self.__class__.__name__} only supports ' \ + f'for gt_bboxes_ignore setting to None.' + + all_cls_scores = preds_dicts['all_cls_scores'] + all_bbox_preds = preds_dicts['all_bbox_preds'] + enc_cls_scores = preds_dicts['enc_cls_scores'] + enc_bbox_preds = preds_dicts['enc_bbox_preds'] + + num_dec_layers = len(all_cls_scores) + device = gt_labels_list[0].device + + gt_bboxes_list = [torch.cat( + (gt_bboxes.gravity_center, gt_bboxes.tensor[:, 3:]), + dim=1).to(device) for gt_bboxes in gt_bboxes_list] + + all_gt_bboxes_list = [gt_bboxes_list for _ in range(num_dec_layers)] + all_gt_labels_list = [gt_labels_list for _ in range(num_dec_layers)] + all_gt_bboxes_ignore_list = [ + gt_bboxes_ignore for _ in range(num_dec_layers) + ] + + losses_cls, losses_bbox = multi_apply( + self.loss_single, all_cls_scores, all_bbox_preds, + all_gt_bboxes_list, all_gt_labels_list, + all_gt_bboxes_ignore_list) + + loss_dict = dict() + # loss of proposal generated from encode feature map. + if enc_cls_scores is not None: + binary_labels_list = [ + torch.zeros_like(gt_labels_list[i]) + for i in range(len(all_gt_labels_list)) + ] + enc_loss_cls, enc_losses_bbox = \ + self.loss_single(enc_cls_scores, enc_bbox_preds, + gt_bboxes_list, binary_labels_list, gt_bboxes_ignore) + loss_dict['enc_loss_cls'] = enc_loss_cls + loss_dict['enc_loss_bbox'] = enc_losses_bbox + + # loss from the last decoder layer + loss_dict['loss_cls'] = losses_cls[-1] + loss_dict['loss_bbox'] = losses_bbox[-1] + + # loss from other decoder layers + num_dec_layer = 0 + for loss_cls_i, loss_bbox_i in zip(losses_cls[:-1], + losses_bbox[:-1]): + loss_dict[f'd{num_dec_layer}.loss_cls'] = loss_cls_i + loss_dict[f'd{num_dec_layer}.loss_bbox'] = loss_bbox_i + num_dec_layer += 1 + return loss_dict + + @force_fp32(apply_to=('preds_dicts')) + def get_bboxes(self, preds_dicts, img_metas, rescale=False): + """Generate bboxes from bbox head predictions. + Args: + preds_dicts (tuple[list[dict]]): Prediction results. + img_metas (list[dict]): Point cloud and image's meta info. + Returns: + list[dict]: Decoded bbox, scores and labels after nms. + """ + + preds_dicts = self.bbox_coder.decode(preds_dicts) + + num_samples = len(preds_dicts) + ret_list = [] + for i in range(num_samples): + preds = preds_dicts[i] + bboxes = preds['bboxes'] + + bboxes[:, 2] = bboxes[:, 2] - bboxes[:, 5] * 0.5 + + code_size = bboxes.shape[-1] + bboxes = img_metas[i]['box_type_3d'](bboxes, code_size) + scores = preds['scores'] + labels = preds['labels'] + + ret_list.append([bboxes, scores, labels]) + + return ret_list diff --git a/projects/mmdet3d_plugin/bevformer/dense_heads/loss_utils.py b/projects/mmdet3d_plugin/bevformer/dense_heads/loss_utils.py new file mode 100644 index 0000000..5ce2602 --- /dev/null +++ b/projects/mmdet3d_plugin/bevformer/dense_heads/loss_utils.py @@ -0,0 +1,314 @@ +from matplotlib.pyplot import autoscale +import torch +import torch.nn as nn +import torch.nn.functional as F +from mmdet3d.models.builder import build_loss +from mmdet3d.models.utils import clip_sigmoid + +import pdb +from mmcv.runner import auto_fp16, force_fp32 + + +class BinarySegmentationLoss(torch.nn.Module): + def __init__(self, pos_weight): + super(BinarySegmentationLoss, self).__init__() + self.loss_fn = torch.nn.BCELoss() + + def forward(self, ypred, ytgt): + loss = self.loss_fn(ypred, ytgt) + + return loss + + +class SegmentationLoss(nn.Module): + def __init__(self, class_weights, ignore_index=255, use_top_k=False, + top_k_ratio=1.0, future_discount=1.0): + + super().__init__() + + self.class_weights = class_weights + self.ignore_index = ignore_index + self.use_top_k = use_top_k + self.top_k_ratio = top_k_ratio + self.future_discount = future_discount + + # self.ce_criterion = nn.CrossEntropyLoss( + # weight=self.class_weights, ignore_index=self.ignore_index, reduction='mean') + + # self.nll_criterion = nn.NLLLoss( + # weight=self.class_weights, ignore_index=self.ignore_index, reduction='mean') + + def forward(self, prediction, target): + b, s, c, h, w = prediction.shape + prediction = prediction.view(b * s, c, h, w) + target = target.view(b * s, h, w) + + loss = F.cross_entropy( + prediction, + target, + reduction='none', + weight=self.class_weights.to(target.device).float(), + ) + + # ce_loss = self.ce_criterion(prediction, target) + # pred_logsoftmax = F.log_softmax(prediction) + # loss = self.nll_criterion(pred_logsoftmax, target) + + loss = loss.view(b, s, h, w) + future_discounts = self.future_discount ** torch.arange( + s, device=loss.device, dtype=loss.dtype) + future_discounts = future_discounts.view(1, s, 1, 1) + loss = loss * future_discounts.float() + + loss = loss.view(b, s, -1) + if self.use_top_k: + # Penalises the top-k hardest pixels + k = int(self.top_k_ratio * loss.shape[2]) + loss, _ = torch.sort(loss, dim=2, descending=True) + loss = loss[:, :, :k] + + return torch.mean(loss) + +class MotionSegmentationLoss(nn.Module): + def __init__(self, class_weights, ignore_index=255, use_top_k=False, + top_k_ratio=1.0, future_discount=1.0): + + super().__init__() + + self.class_weights = class_weights + self.ignore_index = ignore_index + self.use_top_k = use_top_k + self.top_k_ratio = top_k_ratio + self.future_discount = future_discount + + def forward(self, prediction, target, frame_mask=None): + b, s, c, h, w = prediction.shape + + prediction = prediction.view(b * s, c, h, w) + target = target.view(b * s, h, w) + + future_discounts = self.future_discount ** torch.arange( + s).type_as(prediction) + future_discounts = future_discounts.view(1, s).repeat(b, 1) + future_discounts = future_discounts.view(-1, 1) + + frame_mask = frame_mask.contiguous().view(-1) + valid_prediction = prediction[frame_mask] + valid_target = target[frame_mask] + future_discounts = future_discounts[frame_mask] + + if frame_mask.sum().item() == 0: + return prediction.abs().sum().float() * 0.0 + + loss = F.cross_entropy( + valid_prediction, + valid_target, + ignore_index=self.ignore_index, + reduction='none', + weight=self.class_weights.to(target.device), + ) + loss = loss.flatten(start_dim=1) + loss *= future_discounts + + if self.use_top_k: + # Penalises the top-k hardest pixels + k = int(self.top_k_ratio * loss.shape[1]) + loss, _ = torch.sort(loss, dim=1, descending=True) + loss = loss[:, :k] + + return torch.mean(loss) + + +class GaussianFocalLoss(nn.Module): + def __init__( + self, + focal_cfg=dict(type='GaussianFocalLoss', reduction='none'), + ignore_index=255, + future_discount=1.0, + ): + super().__init__() + + self.gaussian_focal_loss = build_loss(focal_cfg) + self.ignore_index = ignore_index + self.future_discount = future_discount + + def clip_sigmoid(self, x, eps=1e-4): + """Sigmoid function for input feature. + + Args: + x (torch.Tensor): Input feature map with the shape of [B, N, H, W]. + eps (float): Lower bound of the range to be clamped to. Defaults + to 1e-4. + + Returns: + torch.Tensor: Feature map after sigmoid. + """ + y = torch.clamp(x.sigmoid_(), min=eps, max=1 - eps) + + return y + + def forward(self, prediction, target, frame_mask=None): + b, s, c, h, w = prediction.shape + prediction = prediction.view(b * s, h, w) + target = target.view(b * s, h, w) + + assert frame_mask is not None + frame_mask = frame_mask.contiguous().view(-1) + valid_pred, valid_target = prediction[frame_mask], target[frame_mask] + + valid_pred = clip_sigmoid(valid_pred.float()) + loss = self.gaussian_focal_loss( + pred=valid_pred, target=valid_target, + ) + + # compute discounts & normalizer + future_discounts = self.future_discount ** torch.arange( + s, device=loss.device, dtype=loss.dtype) + future_discounts = future_discounts.view(1, s).repeat(b, 1).view(-1) + future_discounts = future_discounts[frame_mask] + + num_pos = valid_target.eq(1).float().flatten(1).sum(1) + num_pos *= future_discounts + + # multiply loss & future_discounts + loss = loss * future_discounts.view(-1, 1, 1) + loss = loss.sum() / torch.clamp_min(num_pos.sum(), 1.0) + + return loss + + +class SpatialRegressionLoss(nn.Module): + def __init__(self, norm, ignore_index=255, future_discount=1.0): + super(SpatialRegressionLoss, self).__init__() + self.norm = norm + self.ignore_index = ignore_index + self.future_discount = future_discount + # self.fp16_enabled = False + + if norm == 1: + self.loss_fn = F.l1_loss + elif norm == 2: + self.loss_fn = F.mse_loss + else: + raise ValueError(f'Expected norm 1 or 2, but got norm={norm}') + + def forward(self, prediction, target, frame_mask=None): + assert len(prediction.shape) == 5, 'Must be a 5D tensor' + # frame filter + assert frame_mask is not None + # [b * s, c, h, w] + b, s = prediction.shape[:2] + prediction = prediction[frame_mask] + target = target[frame_mask] + future_discounts = self.future_discount ** torch.arange( + s).type_as(prediction) + future_discounts = future_discounts.view(1, s).repeat(b, 1) + future_discounts = future_discounts[frame_mask] + + # reg filter + reg_mask = torch.all(target != self.ignore_index, dim=1) + + if reg_mask.sum() == 0: + return prediction.abs().sum().float() * 0.0 + + # [num_frame, num_channel, h, w] + loss = self.loss_fn(prediction, target, reduction='none') + + # Sum channel dimension + loss = torch.sum(loss, dim=1) + + # multiply discounts + loss *= future_discounts.view(-1, 1, 1) + loss = loss[reg_mask].mean() + + return loss + + +class SpatialProbabilisticLoss(nn.Module): + def __init__(self, foreground=False, bidirectional=False): + super().__init__() + + self.foreground = foreground + self.bidirectional = bidirectional + + def forward(self, output, foreground_mask=None, batch_valid_mask=None): + present_mu = output['present_mu'] + present_log_sigma = output['present_log_sigma'] + future_mu = output['future_mu'] + future_log_sigma = output['future_log_sigma'] + + var_future = future_log_sigma.exp() + var_present = present_log_sigma.exp() + + kl_div = present_log_sigma - future_log_sigma - 1 + \ + ((future_mu - present_mu) ** 2 + var_future) / var_present + kl_div *= 0.5 + + # summation along the channels + kl_loss = torch.sum(kl_div, dim=1) + + # [batch, sequence] + kl_loss = kl_loss[batch_valid_mask] + + if self.foreground: + assert foreground_mask is not None + foreground_mask = ( + foreground_mask[batch_valid_mask].sum(dim=1) > 0).float() + + foreground_mask = F.interpolate( + foreground_mask, size=kl_loss.shape[-2:], mode='nearest').squeeze(1) + kl_loss = kl_loss[foreground_mask.bool()] + + # computing the distribution loss only for samples with complete temporal completeness + if kl_loss.numel() > 0: + kl_loss = torch.mean(kl_loss) + else: + kl_loss = (kl_loss * 0).sum().float() + + return kl_loss + + +class ProbabilisticLoss(nn.Module): + def __init__(self, foreground=False): + super().__init__() + + self.foreground = foreground + + def forward(self, output, foreground_mask=None, batch_valid_mask=None): + present_mu = output['present_mu'] + present_log_sigma = output['present_log_sigma'] + future_mu = output['future_mu'] + future_log_sigma = output['future_log_sigma'] + + var_future = torch.exp(2 * future_log_sigma) + var_present = torch.exp(2 * present_log_sigma) + kl_div = ( + present_log_sigma - future_log_sigma - 0.5 + (var_future + (future_mu - present_mu) ** 2) / ( + 2 * var_present) + ) + + if kl_div.ndim == 4: + kl_loss = torch.sum(kl_div, dim=1) + + elif kl_div.ndim == 3: + kl_loss = torch.sum(kl_div, dim=-1) + + # [batch, sequence] + kl_loss = kl_loss[batch_valid_mask] + + if self.foreground: + assert foreground_mask is not None + foreground_mask = ( + foreground_mask[batch_valid_mask].sum(dim=1) > 0).float() + + foreground_mask = F.interpolate( + foreground_mask, size=kl_loss.shape[-2:], mode='nearest').squeeze(1) + kl_loss = kl_loss[foreground_mask.bool()] + + # computing the distribution loss only for samples with complete temporal completeness + if kl_loss.numel() > 0: + kl_loss = torch.mean(kl_loss) + else: + kl_loss = (kl_loss * 0).sum().float() + + return kl_loss diff --git a/projects/mmdet3d_plugin/bevformer/detectors/__init__.py b/projects/mmdet3d_plugin/bevformer/detectors/__init__.py new file mode 100644 index 0000000..4c39fd3 --- /dev/null +++ b/projects/mmdet3d_plugin/bevformer/detectors/__init__.py @@ -0,0 +1,2 @@ +from .bevformer import BEVFormer +from .bevformer_fp16 import BEVFormer_fp16 \ No newline at end of file diff --git a/projects/mmdet3d_plugin/bevformer/detectors/bevformer.py b/projects/mmdet3d_plugin/bevformer/detectors/bevformer.py new file mode 100644 index 0000000..3f535c7 --- /dev/null +++ b/projects/mmdet3d_plugin/bevformer/detectors/bevformer.py @@ -0,0 +1,353 @@ +# --------------------------------------------- +# Copyright (c) OpenMMLab. All rights reserved. +# --------------------------------------------- +# Modified by Zhiqi Li +# --------------------------------------------- + +import torch +from mmcv.runner import force_fp32, auto_fp16 +from mmdet.models import DETECTORS +from mmdet3d.core import bbox3d2result +from mmdet3d.models.detectors.mvx_two_stage import MVXTwoStageDetector +from projects.mmdet3d_plugin.models.utils.grid_mask import GridMask +import time +import copy +import numpy as np +import mmdet3d +from projects.mmdet3d_plugin.models.utils.bricks import run_time + + +@DETECTORS.register_module() +class BEVFormer(MVXTwoStageDetector): + """BEVFormer. + Args: + video_test_mode (bool): Decide whether to use temporal information during inference. + """ + + def __init__(self, + use_grid_mask=False, + pts_voxel_layer=None, + pts_voxel_encoder=None, + pts_middle_encoder=None, + pts_fusion_layer=None, + img_backbone=None, + pts_backbone=None, + img_neck=None, + pts_neck=None, + pts_bbox_head=None, + img_roi_head=None, + img_rpn_head=None, + train_cfg=None, + test_cfg=None, + pretrained=None, + video_test_mode=False + ): + + super(BEVFormer, + self).__init__(pts_voxel_layer, pts_voxel_encoder, + pts_middle_encoder, pts_fusion_layer, + img_backbone, pts_backbone, img_neck, pts_neck, + pts_bbox_head, img_roi_head, img_rpn_head, + train_cfg, test_cfg, pretrained) + self.grid_mask = GridMask( + True, True, rotate=1, offset=False, ratio=0.5, mode=1, prob=0.7) + self.use_grid_mask = use_grid_mask + self.fp16_enabled = False + + # temporal + self.video_test_mode = video_test_mode + self.prev_frame_info = { + 'prev_bev': None, + 'scene_token': None, + 'prev_pos': 0, + 'prev_angle': 0, + } + + + def extract_img_feat(self, img, img_metas, len_queue=None): + """Extract features of images.""" + B = img.size(0) + if img is not None: + + # input_shape = img.shape[-2:] + # # update real input shape of each single img + # for img_meta in img_metas: + # img_meta.update(input_shape=input_shape) + + if img.dim() == 5 and img.size(0) == 1: + img.squeeze_() + elif img.dim() == 5 and img.size(0) > 1: + B, N, C, H, W = img.size() + img = img.reshape(B * N, C, H, W) + if self.use_grid_mask: + img = self.grid_mask(img) + + img_feats = self.img_backbone(img) + if isinstance(img_feats, dict): + img_feats = list(img_feats.values()) + else: + return None + if self.with_img_neck: + img_feats = self.img_neck(img_feats) + + img_feats_reshaped = [] + for img_feat in img_feats: + BN, C, H, W = img_feat.size() + if len_queue is not None: + img_feats_reshaped.append(img_feat.view(int(B/len_queue), len_queue, int(BN / B), C, H, W)) + else: + img_feats_reshaped.append(img_feat.view(B, int(BN / B), C, H, W)) + return img_feats_reshaped + + @auto_fp16(apply_to=('img')) + def extract_feat(self, img, img_metas=None, len_queue=None): + """Extract features from images and points.""" + + img_feats = self.extract_img_feat(img, img_metas, len_queue=len_queue) + + return img_feats + + + def forward_pts_train(self, + pts_feats, + gt_bboxes_3d, + gt_labels_3d, + semantic_indices, + img_metas, + gt_bboxes_ignore=None, + prev_bev=None): + """Forward function' + Args: + pts_feats (list[torch.Tensor]): Features of point cloud branch + gt_bboxes_3d (list[:obj:`BaseInstance3DBoxes`]): Ground truth + boxes for each sample. + gt_labels_3d (list[torch.Tensor]): Ground truth labels for + boxes of each sampole + img_metas (list[dict]): Meta information of samples. + gt_bboxes_ignore (list[torch.Tensor], optional): Ground truth + boxes to be ignored. Defaults to None. + prev_bev (torch.Tensor, optional): BEV features of previous frame. + Returns: + dict: Losses of each branch. + """ + + outs = self.pts_bbox_head( + pts_feats, img_metas, prev_bev) #这里是一个整体,直接获得计算loss所需要的logits + # 1. single det task + if 'seg_preds' not in outs.keys(): + det_loss_inputs = [gt_bboxes_3d, gt_labels_3d, outs] + det_losses = self.pts_bbox_head.loss(*det_loss_inputs, img_metas=img_metas) + return det_losses + # 2. single seg task + elif 'all_bbox_preds' not in outs.keys(): + seg_loss_inputs = [semantic_indices, outs] + seg_losses = self.pts_bbox_head.seg_loss(*seg_loss_inputs) + + return seg_losses + # 3. muti task + else: + det_loss_inputs = [gt_bboxes_3d, gt_labels_3d, outs] + det_losses = self.pts_bbox_head.loss(*det_loss_inputs, img_metas=img_metas) + seg_loss_inputs = [semantic_indices, outs] + seg_losses = self.pts_bbox_head.seg_loss(*seg_loss_inputs) + det_losses.update(seg_losses) + + return det_losses + + def forward_dummy(self, img): + dummy_metas = None + return self.forward_test(img=img, img_metas=[[dummy_metas]]) + + def forward(self, return_loss=True, **kwargs): + """Calls either forward_train or forward_test depending on whether + return_loss=True. + Note this setting will change the expected inputs. When + `return_loss=True`, img and img_metas are single-nested (i.e. + torch.Tensor and list[dict]), and when `resturn_loss=False`, img and + img_metas should be double nested (i.e. list[torch.Tensor], + list[list[dict]]), with the outer list indicating test time + augmentations. + """ + if return_loss: + return self.forward_train(**kwargs) + else: + return self.forward_test(**kwargs) + + def obtain_history_bev(self, imgs_queue, img_metas_list): + """Obtain history BEV features iteratively. To save GPU memory, gradients are not calculated. + """ + self.eval() + + with torch.no_grad(): + prev_bev = None + bs, len_queue, num_cams, C, H, W = imgs_queue.shape + imgs_queue = imgs_queue.reshape(bs*len_queue, num_cams, C, H, W) + img_feats_list = self.extract_feat(img=imgs_queue, len_queue=len_queue) + for i in range(len_queue): # 循环融合 + img_metas = [each[i] for each in img_metas_list] + if not img_metas[0]['prev_bev_exists']: + prev_bev = None + # img_feats = self.extract_feat(img=img, img_metas=img_metas) + img_feats = [each_scale[:, i] for each_scale in img_feats_list] + prev_bev = self.pts_bbox_head( + img_feats, img_metas, prev_bev, only_bev=True) #only_bev=True 只运行encoder部分,去计算BEV特征,但是ecoder部分是本文最重要的部分。 + # 注意当prev_bev=None时的情况,TSA退化为SA,通过这个for循环,建立了时序上的联系,后续将不断的迭代。 + self.train() + return prev_bev + + @auto_fp16(apply_to=('img', 'points')) + def forward_train(self, + points=None, + img_metas=None, + gt_bboxes_3d=None, + gt_labels_3d=None, + semantic_indices=None, + gt_labels=None, + gt_bboxes=None, + img=None, + proposals=None, + gt_bboxes_ignore=None, + img_depth=None, + img_mask=None, + ): + """Forward training function. + Args: + points (list[torch.Tensor], optional): Points of each sample. + Defaults to None. + img_metas (list[dict], optional): Meta information of each sample. + Defaults to None. + gt_bboxes_3d (list[:obj:`BaseInstance3DBoxes`], optional): + Ground truth 3D boxes. Defaults to None. + gt_labels_3d (list[torch.Tensor], optional): Ground truth labels + of 3D boxes. Defaults to None. + gt_labels (list[torch.Tensor], optional): Ground truth labels + of 2D boxes in images. Defaults to None. + gt_bboxes (list[torch.Tensor], optional): Ground truth 2D boxes in + images. Defaults to None. + img (torch.Tensor optional): Images of each sample with shape + (N, C, H, W). Defaults to None. + proposals ([list[torch.Tensor], optional): Predicted proposals + used for training Fast RCNN. Defaults to None. + gt_bboxes_ignore (list[torch.Tensor], optional): Ground truth + 2D boxes in images to be ignored. Defaults to None. + Returns: + dict: Losses of different branches. + 思路: + 1 从图像队列中得到两部分:当前帧以及过去时刻图像 + 2 用自回归的方法获取前一帧的bev特征 prev_bev + 3 cnn提取图像的特征 + 4 直接送入BEVFormerHead,里面是一个transformer结构,encoder部分是为了得到bev表征,decoder部分是下游任务解码器 + """ + + len_queue = img.size(1) # 构建的时间队列长度 + prev_img = img[:, :-1, ...] # 获取前两针的图像 + img = img[:, -1, ...] #当前时刻图像 + + prev_img_metas = copy.deepcopy(img_metas) # 这里没写好吧,但是影响不大 + prev_bev = self.obtain_history_bev(prev_img, prev_img_metas) # 获取前一帧的bev特征 + + img_metas = [each[len_queue-1] for each in img_metas] + if not img_metas[0]['prev_bev_exists']: + prev_bev = None + img_feats = self.extract_feat(img=img, img_metas=img_metas) # 提取当前图像特征 + losses = dict() + losses_pts = self.forward_pts_train(img_feats, gt_bboxes_3d, + gt_labels_3d, semantic_indices, + img_metas, gt_bboxes_ignore, prev_bev) + + losses.update(losses_pts) + return losses + + def forward_test(self, img_metas, img=None, **kwargs): + for var, name in [(img_metas, 'img_metas')]: + if not isinstance(var, list): + raise TypeError('{} must be a list, but got {}'.format( + name, type(var))) + img = [img] if img is None else img + + if img_metas[0][0]['scene_token'] != self.prev_frame_info['scene_token']: + # the first sample of each scene is truncated + self.prev_frame_info['prev_bev'] = None + # update idx + self.prev_frame_info['scene_token'] = img_metas[0][0]['scene_token'] + + # do not use temporal information + if not self.video_test_mode: + self.prev_frame_info['prev_bev'] = None + + # Get the delta of ego position and angle between two timestamps. + tmp_pos = copy.deepcopy(img_metas[0][0]['can_bus'][:3]) + tmp_angle = copy.deepcopy(img_metas[0][0]['can_bus'][-1]) + if self.prev_frame_info['prev_bev'] is not None: + img_metas[0][0]['can_bus'][:3] -= self.prev_frame_info['prev_pos'] + img_metas[0][0]['can_bus'][-1] -= self.prev_frame_info['prev_angle'] + else: + img_metas[0][0]['can_bus'][-1] = 0 + img_metas[0][0]['can_bus'][:3] = 0 + + new_prev_bev, bbox_results = self.simple_test( + img_metas[0], img[0], prev_bev=self.prev_frame_info['prev_bev'], **kwargs) + # During inference, we save the BEV features and ego motion of each timestamp. + self.prev_frame_info['prev_pos'] = tmp_pos + self.prev_frame_info['prev_angle'] = tmp_angle + self.prev_frame_info['prev_bev'] = new_prev_bev + + return bbox_results + + def simple_test_pts(self, x, img_metas, prev_bev=None, rescale=False): + """Test function""" + outs = self.pts_bbox_head(x, img_metas, prev_bev=prev_bev) + # 1. single det task + if 'seg_preds' not in outs.keys(): + + bbox_list = self.pts_bbox_head.get_bboxes( + outs, img_metas, rescale=rescale) + bbox_results = [ + bbox3d2result(bboxes, scores, labels) + for bboxes, scores, labels in bbox_list + ] + + return outs['bev_embed'], None, bbox_results + + # 2. single seg task + elif 'all_bbox_preds' not in outs.keys(): + + return outs['bev_embed'], outs['seg_preds'], None + + # 3. muti task + else: + bbox_list = self.pts_bbox_head.get_bboxes( + outs, img_metas, rescale=rescale) + bbox_results = [ + bbox3d2result(bboxes, scores, labels) + for bboxes, scores, labels in bbox_list + ] + + return outs['bev_embed'], outs['seg_preds'], bbox_results + + def simple_test(self, img_metas, img=None, prev_bev=None, rescale=False): + """Test function without augmentaiton.""" + img_feats = self.extract_feat(img=img, img_metas=img_metas) + + result_list = [dict() for i in range(len(img_metas))] + new_prev_bev, seg_preds, bbox_pts = self.simple_test_pts( + img_feats, img_metas, prev_bev, rescale=rescale) + + # 三种模式 + #1. single det + if seg_preds is None: + for result_dict, pts_bbox in zip(result_list, bbox_pts): + result_dict['pts_bbox'] = pts_bbox + result_dict['seg_preds'] = None + # 2. single seg + elif bbox_pts is None: + for result_dict in result_list: + result_dict['pts_bbox'] = None + result_dict['seg_preds'] = seg_preds + # 3. muti task + else: + for result_dict, pts_bbox in zip(result_list, bbox_pts): + result_dict['pts_bbox'] = pts_bbox + result_dict['seg_preds'] = seg_preds + + return new_prev_bev, result_list diff --git a/projects/mmdet3d_plugin/bevformer/detectors/bevformer_fp16.py b/projects/mmdet3d_plugin/bevformer/detectors/bevformer_fp16.py new file mode 100644 index 0000000..ce3d1c8 --- /dev/null +++ b/projects/mmdet3d_plugin/bevformer/detectors/bevformer_fp16.py @@ -0,0 +1,90 @@ +# --------------------------------------------- +# Copyright (c) OpenMMLab. All rights reserved. +# --------------------------------------------- +# Modified by Zhiqi Li +# --------------------------------------------- + +from tkinter.messagebox import NO +import torch +from mmcv.runner import force_fp32, auto_fp16 +from mmdet.models import DETECTORS +from mmdet3d.core import bbox3d2result +from mmdet3d.models.detectors.mvx_two_stage import MVXTwoStageDetector +from projects.mmdet3d_plugin.models.utils.grid_mask import GridMask +from projects.mmdet3d_plugin.bevformer.detectors.bevformer import BEVFormer +import time +import copy +import numpy as np +import mmdet3d +from projects.mmdet3d_plugin.models.utils.bricks import run_time + + +@DETECTORS.register_module() +class BEVFormer_fp16(BEVFormer): + """ + The default version BEVFormer currently can not support FP16. + We provide this version to resolve this issue. + """ + + @auto_fp16(apply_to=('img', 'prev_bev', 'points')) + def forward_train(self, + points=None, + img_metas=None, + gt_bboxes_3d=None, + gt_labels_3d=None, + semantic_indices=None, + gt_labels=None, + gt_bboxes=None, + img=None, + proposals=None, + gt_bboxes_ignore=None, + img_depth=None, + img_mask=None, + prev_bev=None, + ): + """Forward training function. + Args: + points (list[torch.Tensor], optional): Points of each sample. + Defaults to None. + img_metas (list[dict], optional): Meta information of each sample. + Defaults to None. + gt_bboxes_3d (list[:obj:`BaseInstance3DBoxes`], optional): + Ground truth 3D boxes. Defaults to None. + gt_labels_3d (list[torch.Tensor], optional): Ground truth labels + of 3D boxes. Defaults to None. + gt_labels (list[torch.Tensor], optional): Ground truth labels + of 2D boxes in images. Defaults to None. + gt_bboxes (list[torch.Tensor], optional): Ground truth 2D boxes in + images. Defaults to None. + img (torch.Tensor optional): Images of each sample with shape + (N, C, H, W). Defaults to None. + proposals ([list[torch.Tensor], optional): Predicted proposals + used for training Fast RCNN. Defaults to None. + gt_bboxes_ignore (list[torch.Tensor], optional): Ground truth + 2D boxes in images to be ignored. Defaults to None. + Returns: + dict: Losses of different branches. + """ + + img_feats = self.extract_feat(img=img, img_metas=img_metas) + + losses = dict() + losses_pts = self.forward_pts_train(img_feats, gt_bboxes_3d, + gt_labels_3d, img_metas, + gt_bboxes_ignore, prev_bev=prev_bev) + losses.update(losses_pts) + return losses + + + def val_step(self, data, optimizer): + """ + In BEVFormer_fp16, we use this `val_step` function to inference the `prev_pev`. + This is not the standard function of `val_step`. + """ + + img = data['img'] + img_metas = data['img_metas'] + img_feats = self.extract_feat(img=img, img_metas=img_metas) + prev_bev = data.get('prev_bev', None) + prev_bev = self.pts_bbox_head(img_feats, img_metas, prev_bev=prev_bev, only_bev=True) + return prev_bev \ No newline at end of file diff --git a/projects/mmdet3d_plugin/bevformer/hooks/__init__.py b/projects/mmdet3d_plugin/bevformer/hooks/__init__.py new file mode 100644 index 0000000..aa04ec1 --- /dev/null +++ b/projects/mmdet3d_plugin/bevformer/hooks/__init__.py @@ -0,0 +1 @@ +from .custom_hooks import TransferWeight \ No newline at end of file diff --git a/projects/mmdet3d_plugin/bevformer/hooks/custom_hooks.py b/projects/mmdet3d_plugin/bevformer/hooks/custom_hooks.py new file mode 100644 index 0000000..091738a --- /dev/null +++ b/projects/mmdet3d_plugin/bevformer/hooks/custom_hooks.py @@ -0,0 +1,14 @@ +from mmcv.runner.hooks.hook import HOOKS, Hook +from projects.mmdet3d_plugin.models.utils import run_time + + +@HOOKS.register_module() +class TransferWeight(Hook): + + def __init__(self, every_n_inters=1): + self.every_n_inters=every_n_inters + + def after_train_iter(self, runner): + if self.every_n_inner_iters(runner, self.every_n_inters): + runner.eval_model.load_state_dict(runner.model.state_dict()) + diff --git a/projects/mmdet3d_plugin/bevformer/loss/__init__.py b/projects/mmdet3d_plugin/bevformer/loss/__init__.py new file mode 100644 index 0000000..535e575 --- /dev/null +++ b/projects/mmdet3d_plugin/bevformer/loss/__init__.py @@ -0,0 +1 @@ +from .loss import SimpleLoss \ No newline at end of file diff --git a/projects/mmdet3d_plugin/bevformer/loss/loss.py b/projects/mmdet3d_plugin/bevformer/loss/loss.py new file mode 100644 index 0000000..51aaa7f --- /dev/null +++ b/projects/mmdet3d_plugin/bevformer/loss/loss.py @@ -0,0 +1,152 @@ +import torch +import torch.nn as nn +import torch.nn.functional as F + +from mmdet.models.builder import LOSSES + +class FocalLoss(nn.Module): + def __init__(self, alpha=1, gamma=2, reduce='mean'): + super(FocalLoss, self).__init__() + self.alpha = alpha + self.gamma = gamma + self.reduce = reduce + + def forward(self, inputs, targets): + BCE_loss = F.binary_cross_entropy_with_logits(inputs, targets, reduce=False) + pt = torch.exp(-BCE_loss) + F_loss = self.alpha * (1 - pt) ** self.gamma * BCE_loss + + if self.reduce == 'mean': + return torch.mean(F_loss) + elif self.reduce == 'sum': + return torch.sum(F_loss) + else: + raise NotImplementedError + +@LOSSES.register_module() +class SimpleLoss(torch.nn.Module): + def __init__(self, pos_weight=1.0, loss_weight=1.0): + super(SimpleLoss, self).__init__() + self.loss_fn = torch.nn.BCEWithLogitsLoss(pos_weight=torch.Tensor([pos_weight])) + self.loss_weight = loss_weight + + def forward(self, ypred, ytgt): + loss = self.loss_weight * self.loss_fn(ypred, ytgt) + return loss + + +class DiscriminativeLoss(nn.Module): + def __init__(self, embed_dim, delta_v, delta_d): + super(DiscriminativeLoss, self).__init__() + self.embed_dim = embed_dim + self.delta_v = delta_v + self.delta_d = delta_d + + def forward(self, embedding, seg_gt): + if embedding is None: + return 0, 0, 0 + bs = embedding.shape[0] + + var_loss = torch.tensor(0, dtype=embedding.dtype, device=embedding.device) + dist_loss = torch.tensor(0, dtype=embedding.dtype, device=embedding.device) + reg_loss = torch.tensor(0, dtype=embedding.dtype, device=embedding.device) + + for b in range(bs): + embedding_b = embedding[b] # (embed_dim, H, W) + seg_gt_b = seg_gt[b] + + labels = torch.unique(seg_gt_b) + labels = labels[labels != 0] + num_lanes = len(labels) + if num_lanes == 0: + # please refer to issue here: https://github.com/harryhan618/LaneNet/issues/12 + _nonsense = embedding.sum() + _zero = torch.zeros_like(_nonsense) + var_loss = var_loss + _nonsense * _zero + dist_loss = dist_loss + _nonsense * _zero + reg_loss = reg_loss + _nonsense * _zero + continue + + centroid_mean = [] + for lane_idx in labels: + seg_mask_i = (seg_gt_b == lane_idx) + if not seg_mask_i.any(): + continue + embedding_i = embedding_b[:, seg_mask_i] + + mean_i = torch.mean(embedding_i, dim=1) + centroid_mean.append(mean_i) + + # ---------- var_loss ------------- + var_loss = var_loss + torch.mean(F.relu(torch.norm(embedding_i-mean_i.reshape(self.embed_dim, 1), dim=0) - self.delta_v) ** 2) / num_lanes + centroid_mean = torch.stack(centroid_mean) # (n_lane, embed_dim) + + if num_lanes > 1: + centroid_mean1 = centroid_mean.reshape(-1, 1, self.embed_dim) + centroid_mean2 = centroid_mean.reshape(1, -1, self.embed_dim) + dist = torch.norm(centroid_mean1-centroid_mean2, dim=2) # shape (num_lanes, num_lanes) + dist = dist + torch.eye(num_lanes, dtype=dist.dtype, device=dist.device) * self.delta_d # diagonal elements are 0, now mask above delta_d + + # divided by two for double calculated loss above, for implementation convenience + dist_loss = dist_loss + torch.sum(F.relu(-dist + self.delta_d)**2) / (num_lanes * (num_lanes-1)) / 2 + + # reg_loss is not used in original paper + # reg_loss = reg_loss + torch.mean(torch.norm(centroid_mean, dim=1)) + + var_loss = var_loss / bs + dist_loss = dist_loss / bs + reg_loss = reg_loss / bs + return var_loss, dist_loss, reg_loss + +@LOSSES.register_module() +class SegmentationLoss(nn.Module): + def __init__(self, class_weights, ignore_index=255, use_top_k=False, + top_k_ratio=1.0, future_discount=1.0): + + super().__init__() + + self.class_weights = class_weights + self.ignore_index = ignore_index + self.use_top_k = use_top_k + self.top_k_ratio = top_k_ratio + self.future_discount = future_discount + + # self.ce_criterion = nn.CrossEntropyLoss( + # weight=self.class_weights, ignore_index=self.ignore_index, reduction='mean') + + # self.nll_criterion = nn.NLLLoss( + # weight=self.class_weights, ignore_index=self.ignore_index, reduction='mean') + + def forward(self, prediction, target): + b, s, c, h, w = prediction.shape + prediction = prediction.view(b * s, c, h, w) + target = target.view(b * s, h, w) + + loss = F.cross_entropy( + prediction, + target, + reduction='none', + weight=self.class_weights.to(target.device).float(), + ) + + # ce_loss = self.ce_criterion(prediction, target) + # pred_logsoftmax = F.log_softmax(prediction) + # loss = self.nll_criterion(pred_logsoftmax, target) + + loss = loss.view(b, s, h, w) + future_discounts = self.future_discount ** torch.arange( + s, device=loss.device, dtype=loss.dtype) + future_discounts = future_discounts.view(1, s, 1, 1) + loss = loss * future_discounts.float() + + loss = loss.view(b, s, -1) + if self.use_top_k: + # Penalises the top-k hardest pixels + k = int(self.top_k_ratio * loss.shape[2]) + loss, _ = torch.sort(loss, dim=2, descending=True) + loss = loss[:, :, :k] + + return torch.mean(loss) + +def calc_loss(): + pass diff --git a/projects/mmdet3d_plugin/bevformer/modules/TransformerLSS.py b/projects/mmdet3d_plugin/bevformer/modules/TransformerLSS.py new file mode 100644 index 0000000..4589c91 --- /dev/null +++ b/projects/mmdet3d_plugin/bevformer/modules/TransformerLSS.py @@ -0,0 +1,212 @@ +# Copyright (c) Junjie.huang. All rights reserved. + +import torch +import torch.nn as nn +from mmcv.runner import BaseModule +from mmcv.cnn.bricks.registry import TRANSFORMER_LAYER_SEQUENCE + + +@TRANSFORMER_LAYER_SEQUENCE.register_module() +class TransformerLSS(BaseModule): + def __init__(self, grid_conf=None, input_dim=None, init_cfg=None, numC_input=512, + numC_Trans=512, downsample=16, faster=False, use_bev_pool=False, **kwargs): + + super(TransformerLSS, self).__init__(init_cfg) + if grid_conf is None: + grid_conf = { + 'xbound': [-51.2, 51.2, 0.8], + 'ybound': [-51.2, 51.2, 0.8], + 'zbound': [-10.0, 10.0, 20.0], + 'dbound': [4.0, 45.0, 1.0], } + + self.grid_conf = grid_conf + self.dx, self.bx, self.nx = gen_dx_bx(self.grid_conf['xbound'], + self.grid_conf['ybound'], + self.grid_conf['zbound'], + ) + + self.input_dim = input_dim + self.downsample = downsample + + self.frustum = self.create_frustum() + self.D, _, _, _ = self.frustum.shape + self.numC_input = numC_input + self.numC_Trans = numC_Trans + self.depthnet = nn.Conv2d( + self.numC_input, self.D + self.numC_Trans, kernel_size=1, padding=0) + + self.use_bev_pool = use_bev_pool + + def get_depth_dist(self, x, eps=1e-20): + return x.softmax(dim=1) + + def create_frustum(self): + # make grid in image plane + ogfH, ogfW = self.input_dim + fH, fW = ogfH // self.downsample, ogfW // self.downsample + ds = torch.arange( + *self.grid_conf['dbound'], dtype=torch.float).view(-1, 1, 1).expand(-1, fH, fW) + D, _, _ = ds.shape + xs = torch.linspace( + 0, ogfW - 1, fW, dtype=torch.float).view(1, 1, fW).expand(D, fH, fW) + ys = torch.linspace( + 0, ogfH - 1, fH, dtype=torch.float).view(1, fH, 1).expand(D, fH, fW) + + # D x H x W x 3 + frustum = torch.stack((xs, ys, ds), -1) + return nn.Parameter(frustum, requires_grad=False) + + def get_geometry(self, rots, trans, intrins, post_rots, post_trans): + """Determine the (x,y,z) locations (in the ego frame) + of the points in the point cloud. + Returns B x N x D x H/downsample x W/downsample x 3 + """ + + B, N, _ = trans.shape + + # flatten (batch & sequence) + rots = rots.flatten(0, 1) + trans = trans.flatten(0, 1) + intrins = intrins.flatten(0, 1).float() + # inverse can only work for float32 + post_rots = post_rots.flatten(0, 1).float() + post_trans = post_trans.flatten(0, 1) + + # undo post-transformation + # B x N x D x H x W x 3 + points = self.frustum - post_trans.view(B, N, 1, 1, 1, 3) + points = torch.inverse(post_rots).view( + B, N, 1, 1, 1, 3, 3).matmul(points.unsqueeze(-1)) + + # cam_to_ego + points = torch.cat((points[:, :, :, :, :, :2] * points[:, :, :, :, :, 2:3], + points[:, :, :, :, :, 2:3] + ), 5) + + combine = rots.matmul(torch.inverse(intrins)) + points = combine.view(B, N, 1, 1, 1, 3, 3).matmul(points).squeeze(-1) + points += trans.view(B, N, 1, 1, 1, 3) + + return points + + def voxel_pooling(self, geom_feats, x): + B, N, D, H, W, C = x.shape + Nprime = B * N * D * H * W + nx = self.nx.to(torch.long) + # flatten x + x = x.reshape(Nprime, C) + + # flatten indices + bx = self.bx.type_as(geom_feats) + dx = self.dx.type_as(geom_feats) + nx = self.nx.type_as(geom_feats).long() + + geom_feats = ((geom_feats - (bx - dx / 2.)) / dx).long() + geom_feats = geom_feats.view(Nprime, 3) + batch_ix = torch.cat([torch.full([Nprime // B, 1], ix, + device=x.device, dtype=torch.long) for ix in range(B)]) + geom_feats = torch.cat((geom_feats, batch_ix), 1) + geom_feats = geom_feats.type_as(x).long() + + # filter out points that are outside box + kept = (geom_feats[:, 0] >= 0) & (geom_feats[:, 0] < nx[0]) \ + & (geom_feats[:, 1] >= 0) & (geom_feats[:, 1] < nx[1]) \ + & (geom_feats[:, 2] >= 0) & (geom_feats[:, 2] < nx[2]) + x = x[kept] + geom_feats = geom_feats[kept] + + # if self.use_bev_pool: + # final = bev_pool(x, geom_feats, B, + # self.nx[2], self.nx[0], self.nx[1]) + # final = final.transpose(dim0=-2, dim1=-1) + # else: + # get tensors from the same voxel next to each other + ranks = geom_feats[:, 0] * (nx[1] * nx[2] * B) \ + + geom_feats[:, 1] * (nx[2] * B) \ + + geom_feats[:, 2] * B \ + + geom_feats[:, 3] + sorts = ranks.argsort() + x, geom_feats, ranks = x[sorts], geom_feats[sorts], ranks[sorts] + + # cumsum trick + x, geom_feats = QuickCumsum.apply(x, geom_feats, ranks) + + # griddify (B x C x Z x X x Y) + final = torch.zeros((B, C, nx[2], nx[1], nx[0]), device=x.device) + final[geom_feats[:, 3], :, geom_feats[:, 2], + geom_feats[:, 1], geom_feats[:, 0]] = x + + # collapse Z + final = torch.cat(final.unbind(dim=2), 1) + + return final + + def forward(self, x, rots, trans, intrins, post_rots, post_trans, flip_x=False, flip_y=False): + B, N, C, H, W = x.shape + # flatten (batch, seq, num_cam) + x = x.view(B * N, C, H, W) + x = self.depthnet(x) + + depth = self.get_depth_dist(x[:, :self.D]) + # [B, N, D, H, W, 3] + geom = self.get_geometry(rots, trans, intrins, post_rots, post_trans) + cvt_feature_list = [x[:, self.D:(self.D + self.numC_Trans)]] + volume_channel_index = [0, ] + for feature in cvt_feature_list: + volume_channel_index.append( + feature.shape[1]+volume_channel_index[-1]) + + cvt_feature = torch.cat(cvt_feature_list, dim=1) + + volume = depth.unsqueeze(1) * cvt_feature.unsqueeze(2) + volume = volume.view(B, N, volume_channel_index[-1], self.D, H, W) + volume = volume.permute(0, 1, 3, 4, 5, 2) + + if flip_x: + geom[..., 0] = -geom[..., 0] + if flip_y: + geom[..., 1] = -geom[..., 1] + + bev_feat = self.voxel_pooling(geom, volume) + bev_feat = bev_feat.view(B, *bev_feat.shape[1:]) + + return bev_feat + + +def gen_dx_bx(xbound, ybound, zbound): + dx = torch.Tensor([row[2] for row in [xbound, ybound, zbound]]) + bx = torch.Tensor( + [row[0] + row[2]/2.0 for row in [xbound, ybound, zbound]]) + nx = torch.Tensor([(row[1] - row[0]) / row[2] + for row in [xbound, ybound, zbound]]) + + return dx, bx, nx + + +class QuickCumsum(torch.autograd.Function): + @staticmethod + def forward(ctx, x, geom_feats, ranks): + x = x.cumsum(0) + kept = torch.ones(x.shape[0], device=x.device, dtype=torch.bool) + kept[:-1] = (ranks[1:] != ranks[:-1]) + + x, geom_feats = x[kept], geom_feats[kept] + x = torch.cat((x[:1], x[1:] - x[:-1])) + + # save kept for backward + ctx.save_for_backward(kept) + + # no gradient for geom_feats + ctx.mark_non_differentiable(geom_feats) + + return x, geom_feats + + @staticmethod + def backward(ctx, gradx, gradgeom): + kept, = ctx.saved_tensors + back = torch.cumsum(kept, 0) + back[kept] -= 1 + + val = gradx[back] + + return val, None, None diff --git a/projects/mmdet3d_plugin/bevformer/modules/__init__.py b/projects/mmdet3d_plugin/bevformer/modules/__init__.py new file mode 100644 index 0000000..9d9d691 --- /dev/null +++ b/projects/mmdet3d_plugin/bevformer/modules/__init__.py @@ -0,0 +1,8 @@ +from .transformer import PerceptionTransformer +from .spatial_cross_attention import SpatialCrossAttention, MSDeformableAttention3D +from .temporal_self_attention import TemporalSelfAttention +from .encoder import BEVFormerEncoder, BEVFormerLayer +from .decoder import DetectionTransformerDecoder +from .seg_subnet import SegEncode, DeconvEncode, SegEncode_v1 +from .TransformerLSS import TransformerLSS + diff --git a/projects/mmdet3d_plugin/bevformer/modules/builder.py b/projects/mmdet3d_plugin/bevformer/modules/builder.py new file mode 100644 index 0000000..e60a100 --- /dev/null +++ b/projects/mmdet3d_plugin/bevformer/modules/builder.py @@ -0,0 +1,7 @@ +from mmcv.utils import Registry, build_from_cfg + +SEG_ENCODER = Registry('seg_encoder') + +def build_seg_encoder(cfg, **default_args): + """Builder of box sampler.""" + return build_from_cfg(cfg, SEG_ENCODER, default_args) diff --git a/projects/mmdet3d_plugin/bevformer/modules/custom_base_transformer_layer.py b/projects/mmdet3d_plugin/bevformer/modules/custom_base_transformer_layer.py new file mode 100644 index 0000000..a5d994c --- /dev/null +++ b/projects/mmdet3d_plugin/bevformer/modules/custom_base_transformer_layer.py @@ -0,0 +1,260 @@ +# --------------------------------------------- +# Copyright (c) OpenMMLab. All rights reserved. +# --------------------------------------------- +# Modified by Zhiqi Li +# --------------------------------------------- + +import copy +import warnings + +import torch +import torch.nn as nn + +from mmcv import ConfigDict, deprecated_api_warning +from mmcv.cnn import Linear, build_activation_layer, build_norm_layer +from mmcv.runner.base_module import BaseModule, ModuleList, Sequential + +from mmcv.cnn.bricks.registry import (ATTENTION, FEEDFORWARD_NETWORK, POSITIONAL_ENCODING, + TRANSFORMER_LAYER, TRANSFORMER_LAYER_SEQUENCE) + +# Avoid BC-breaking of importing MultiScaleDeformableAttention from this file +try: + from mmcv.ops.multi_scale_deform_attn import MultiScaleDeformableAttention # noqa F401 + warnings.warn( + ImportWarning( + '``MultiScaleDeformableAttention`` has been moved to ' + '``mmcv.ops.multi_scale_deform_attn``, please change original path ' # noqa E501 + '``from mmcv.cnn.bricks.transformer import MultiScaleDeformableAttention`` ' # noqa E501 + 'to ``from mmcv.ops.multi_scale_deform_attn import MultiScaleDeformableAttention`` ' # noqa E501 + )) +except ImportError: + warnings.warn('Fail to import ``MultiScaleDeformableAttention`` from ' + '``mmcv.ops.multi_scale_deform_attn``, ' + 'You should install ``mmcv-full`` if you need this module. ') +from mmcv.cnn.bricks.transformer import build_feedforward_network, build_attention + + +@TRANSFORMER_LAYER.register_module() +class MyCustomBaseTransformerLayer(BaseModule): + """Base `TransformerLayer` for vision transformer. + It can be built from `mmcv.ConfigDict` and support more flexible + customization, for example, using any number of `FFN or LN ` and + use different kinds of `attention` by specifying a list of `ConfigDict` + named `attn_cfgs`. It is worth mentioning that it supports `prenorm` + when you specifying `norm` as the first element of `operation_order`. + More details about the `prenorm`: `On Layer Normalization in the + Transformer Architecture `_ . + Args: + attn_cfgs (list[`mmcv.ConfigDict`] | obj:`mmcv.ConfigDict` | None )): + Configs for `self_attention` or `cross_attention` modules, + The order of the configs in the list should be consistent with + corresponding attentions in operation_order. + If it is a dict, all of the attention modules in operation_order + will be built with this config. Default: None. + ffn_cfgs (list[`mmcv.ConfigDict`] | obj:`mmcv.ConfigDict` | None )): + Configs for FFN, The order of the configs in the list should be + consistent with corresponding ffn in operation_order. + If it is a dict, all of the attention modules in operation_order + will be built with this config. + operation_order (tuple[str]): The execution order of operation + in transformer. Such as ('self_attn', 'norm', 'ffn', 'norm'). + Support `prenorm` when you specifying first element as `norm`. + Default:None. + norm_cfg (dict): Config dict for normalization layer. + Default: dict(type='LN'). + init_cfg (obj:`mmcv.ConfigDict`): The Config for initialization. + Default: None. + batch_first (bool): Key, Query and Value are shape + of (batch, n, embed_dim) + or (n, batch, embed_dim). Default to False. + """ + + def __init__(self, + attn_cfgs=None, + ffn_cfgs=dict( + type='FFN', + embed_dims=256, + feedforward_channels=1024, + num_fcs=2, + ffn_drop=0., + act_cfg=dict(type='ReLU', inplace=True), + ), + operation_order=None, + norm_cfg=dict(type='LN'), + init_cfg=None, + batch_first=True, + **kwargs): + + deprecated_args = dict( + feedforward_channels='feedforward_channels', + ffn_dropout='ffn_drop', + ffn_num_fcs='num_fcs') + for ori_name, new_name in deprecated_args.items(): + if ori_name in kwargs: + warnings.warn( + f'The arguments `{ori_name}` in BaseTransformerLayer ' + f'has been deprecated, now you should set `{new_name}` ' + f'and other FFN related arguments ' + f'to a dict named `ffn_cfgs`. ') + ffn_cfgs[new_name] = kwargs[ori_name] + + super(MyCustomBaseTransformerLayer, self).__init__(init_cfg) + + self.batch_first = batch_first + + assert set(operation_order) & set( + ['self_attn', 'norm', 'ffn', 'cross_attn']) == \ + set(operation_order), f'The operation_order of' \ + f' {self.__class__.__name__} should ' \ + f'contains all four operation type ' \ + f"{['self_attn', 'norm', 'ffn', 'cross_attn']}" + + num_attn = operation_order.count('self_attn') + operation_order.count( + 'cross_attn') + if isinstance(attn_cfgs, dict): + attn_cfgs = [copy.deepcopy(attn_cfgs) for _ in range(num_attn)] + else: + assert num_attn == len(attn_cfgs), f'The length ' \ + f'of attn_cfg {num_attn} is ' \ + f'not consistent with the number of attention' \ + f'in operation_order {operation_order}.' + + self.num_attn = num_attn + self.operation_order = operation_order + self.norm_cfg = norm_cfg + self.pre_norm = operation_order[0] == 'norm' + self.attentions = ModuleList() + + index = 0 + for operation_name in operation_order: + if operation_name in ['self_attn', 'cross_attn']: + if 'batch_first' in attn_cfgs[index]: + assert self.batch_first == attn_cfgs[index]['batch_first'] + else: + attn_cfgs[index]['batch_first'] = self.batch_first + attention = build_attention(attn_cfgs[index]) + # Some custom attentions used as `self_attn` + # or `cross_attn` can have different behavior. + attention.operation_name = operation_name + self.attentions.append(attention) + index += 1 + + self.embed_dims = self.attentions[0].embed_dims + + self.ffns = ModuleList() + num_ffns = operation_order.count('ffn') + if isinstance(ffn_cfgs, dict): + ffn_cfgs = ConfigDict(ffn_cfgs) + if isinstance(ffn_cfgs, dict): + ffn_cfgs = [copy.deepcopy(ffn_cfgs) for _ in range(num_ffns)] + assert len(ffn_cfgs) == num_ffns + for ffn_index in range(num_ffns): + if 'embed_dims' not in ffn_cfgs[ffn_index]: + ffn_cfgs['embed_dims'] = self.embed_dims + else: + assert ffn_cfgs[ffn_index]['embed_dims'] == self.embed_dims + + self.ffns.append( + build_feedforward_network(ffn_cfgs[ffn_index])) + + self.norms = ModuleList() + num_norms = operation_order.count('norm') + for _ in range(num_norms): + self.norms.append(build_norm_layer(norm_cfg, self.embed_dims)[1]) + + def forward(self, + query, + key=None, + value=None, + query_pos=None, + key_pos=None, + attn_masks=None, + query_key_padding_mask=None, + key_padding_mask=None, + **kwargs): + """Forward function for `TransformerDecoderLayer`. + **kwargs contains some specific arguments of attentions. + Args: + query (Tensor): The input query with shape + [num_queries, bs, embed_dims] if + self.batch_first is False, else + [bs, num_queries embed_dims]. + key (Tensor): The key tensor with shape [num_keys, bs, + embed_dims] if self.batch_first is False, else + [bs, num_keys, embed_dims] . + value (Tensor): The value tensor with same shape as `key`. + query_pos (Tensor): The positional encoding for `query`. + Default: None. + key_pos (Tensor): The positional encoding for `key`. + Default: None. + attn_masks (List[Tensor] | None): 2D Tensor used in + calculation of corresponding attention. The length of + it should equal to the number of `attention` in + `operation_order`. Default: None. + query_key_padding_mask (Tensor): ByteTensor for `query`, with + shape [bs, num_queries]. Only used in `self_attn` layer. + Defaults to None. + key_padding_mask (Tensor): ByteTensor for `query`, with + shape [bs, num_keys]. Default: None. + Returns: + Tensor: forwarded results with shape [num_queries, bs, embed_dims]. + """ + + norm_index = 0 + attn_index = 0 + ffn_index = 0 + identity = query + if attn_masks is None: + attn_masks = [None for _ in range(self.num_attn)] + elif isinstance(attn_masks, torch.Tensor): + attn_masks = [ + copy.deepcopy(attn_masks) for _ in range(self.num_attn) + ] + warnings.warn(f'Use same attn_mask in all attentions in ' + f'{self.__class__.__name__} ') + else: + assert len(attn_masks) == self.num_attn, f'The length of ' \ + f'attn_masks {len(attn_masks)} must be equal ' \ + f'to the number of attention in ' \ + f'operation_order {self.num_attn}' + + for layer in self.operation_order: + if layer == 'self_attn': + temp_key = temp_value = query + query = self.attentions[attn_index]( + query, + temp_key, + temp_value, + identity if self.pre_norm else None, + query_pos=query_pos, + key_pos=query_pos, + attn_mask=attn_masks[attn_index], + key_padding_mask=query_key_padding_mask, + **kwargs) + attn_index += 1 + identity = query + + elif layer == 'norm': + query = self.norms[norm_index](query) + norm_index += 1 + + elif layer == 'cross_attn': + query = self.attentions[attn_index]( + query, + key, + value, + identity if self.pre_norm else None, + query_pos=query_pos, + key_pos=key_pos, + attn_mask=attn_masks[attn_index], + key_padding_mask=key_padding_mask, + **kwargs) + attn_index += 1 + identity = query + + elif layer == 'ffn': + query = self.ffns[ffn_index]( + query, identity if self.pre_norm else None) + ffn_index += 1 + + return query diff --git a/projects/mmdet3d_plugin/bevformer/modules/decoder.py b/projects/mmdet3d_plugin/bevformer/modules/decoder.py new file mode 100644 index 0000000..33024f8 --- /dev/null +++ b/projects/mmdet3d_plugin/bevformer/modules/decoder.py @@ -0,0 +1,345 @@ +# --------------------------------------------- +# Copyright (c) OpenMMLab. All rights reserved. +# --------------------------------------------- +# Modified by Zhiqi Li +# --------------------------------------------- + +from mmcv.ops.multi_scale_deform_attn import multi_scale_deformable_attn_pytorch +import mmcv +import cv2 as cv +import copy +import warnings +from matplotlib import pyplot as plt +import numpy as np +import torch +import torch.nn as nn +import torch.nn.functional as F +from mmcv.cnn import xavier_init, constant_init +from mmcv.cnn.bricks.registry import (ATTENTION, + TRANSFORMER_LAYER_SEQUENCE) +from mmcv.cnn.bricks.transformer import TransformerLayerSequence +import math +from mmcv.runner.base_module import BaseModule, ModuleList, Sequential +from mmcv.utils import (ConfigDict, build_from_cfg, deprecated_api_warning, + to_2tuple) + +from mmcv.utils import ext_loader +from .multi_scale_deformable_attn_function import MultiScaleDeformableAttnFunction_fp32, \ + MultiScaleDeformableAttnFunction_fp16 + +ext_module = ext_loader.load_ext( + '_ext', ['ms_deform_attn_backward', 'ms_deform_attn_forward']) + + +def inverse_sigmoid(x, eps=1e-5): + """Inverse function of sigmoid. + Args: + x (Tensor): The tensor to do the + inverse. + eps (float): EPS avoid numerical + overflow. Defaults 1e-5. + Returns: + Tensor: The x has passed the inverse + function of sigmoid, has same + shape with input. + """ + x = x.clamp(min=0, max=1) + x1 = x.clamp(min=eps) + x2 = (1 - x).clamp(min=eps) + return torch.log(x1 / x2) + + +@TRANSFORMER_LAYER_SEQUENCE.register_module() +class DetectionTransformerDecoder(TransformerLayerSequence): + """Implements the decoder in DETR3D transformer. + Args: + return_intermediate (bool): Whether to return intermediate outputs. + coder_norm_cfg (dict): Config of last normalization layer. Default: + `LN`. + """ + + def __init__(self, *args, return_intermediate=False, **kwargs): + super(DetectionTransformerDecoder, self).__init__(*args, **kwargs) + self.return_intermediate = return_intermediate + self.fp16_enabled = False + + def forward(self, + query, + *args, + reference_points=None, + reg_branches=None, + key_padding_mask=None, + **kwargs): + """Forward function for `Detr3DTransformerDecoder`. + Args: + query (Tensor): Input query with shape + `(num_query, bs, embed_dims)`. + reference_points (Tensor): The reference + points of offset. has shape + (bs, num_query, 4) when as_two_stage, + otherwise has shape ((bs, num_query, 2). + reg_branch: (obj:`nn.ModuleList`): Used for + refining the regression results. Only would + be passed when with_box_refine is True, + otherwise would be passed a `None`. + Returns: + Tensor: Results with shape [1, num_query, bs, embed_dims] when + return_intermediate is `False`, otherwise it has shape + [num_layers, num_query, bs, embed_dims]. + """ + output = query + intermediate = [] + intermediate_reference_points = [] + for lid, layer in enumerate(self.layers): + + reference_points_input = reference_points[..., :2].unsqueeze( + 2) # BS NUM_QUERY NUM_LEVEL 2 + output = layer( + output, + *args, + reference_points=reference_points_input, + key_padding_mask=key_padding_mask, + **kwargs) + output = output.permute(1, 0, 2) + + if reg_branches is not None: + tmp = reg_branches[lid](output) + + assert reference_points.shape[-1] == 3 + + new_reference_points = torch.zeros_like(reference_points) + new_reference_points[..., :2] = tmp[ + ..., :2] + inverse_sigmoid(reference_points[..., :2]) + new_reference_points[..., 2:3] = tmp[ + ..., 4:5] + inverse_sigmoid(reference_points[..., 2:3]) + + new_reference_points = new_reference_points.sigmoid() + + reference_points = new_reference_points.detach() + + output = output.permute(1, 0, 2) + if self.return_intermediate: + intermediate.append(output) + intermediate_reference_points.append(reference_points) + + if self.return_intermediate: + return torch.stack(intermediate), torch.stack( + intermediate_reference_points) + + return output, reference_points + + +@ATTENTION.register_module() +class CustomMSDeformableAttention(BaseModule): + """An attention module used in Deformable-Detr. + + `Deformable DETR: Deformable Transformers for End-to-End Object Detection. + `_. + + Args: + embed_dims (int): The embedding dimension of Attention. + Default: 256. + num_heads (int): Parallel attention heads. Default: 64. + num_levels (int): The number of feature map used in + Attention. Default: 4. + num_points (int): The number of sampling points for + each query in each head. Default: 4. + im2col_step (int): The step used in image_to_column. + Default: 64. + dropout (float): A Dropout layer on `inp_identity`. + Default: 0.1. + batch_first (bool): Key, Query and Value are shape of + (batch, n, embed_dim) + or (n, batch, embed_dim). Default to False. + norm_cfg (dict): Config dict for normalization layer. + Default: None. + init_cfg (obj:`mmcv.ConfigDict`): The Config for initialization. + Default: None. + """ + + def __init__(self, + embed_dims=256, + num_heads=8, + num_levels=4, + num_points=4, + im2col_step=64, + dropout=0.1, + batch_first=False, + norm_cfg=None, + init_cfg=None): + super().__init__(init_cfg) + if embed_dims % num_heads != 0: + raise ValueError(f'embed_dims must be divisible by num_heads, ' + f'but got {embed_dims} and {num_heads}') + dim_per_head = embed_dims // num_heads + self.norm_cfg = norm_cfg + self.dropout = nn.Dropout(dropout) + self.batch_first = batch_first + self.fp16_enabled = False + + # you'd better set dim_per_head to a power of 2 + # which is more efficient in the CUDA implementation + def _is_power_of_2(n): + if (not isinstance(n, int)) or (n < 0): + raise ValueError( + 'invalid input for _is_power_of_2: {} (type: {})'.format( + n, type(n))) + return (n & (n - 1) == 0) and n != 0 + + if not _is_power_of_2(dim_per_head): + warnings.warn( + "You'd better set embed_dims in " + 'MultiScaleDeformAttention to make ' + 'the dimension of each attention head a power of 2 ' + 'which is more efficient in our CUDA implementation.') + + self.im2col_step = im2col_step + self.embed_dims = embed_dims + self.num_levels = num_levels + self.num_heads = num_heads + self.num_points = num_points + self.sampling_offsets = nn.Linear( + embed_dims, num_heads * num_levels * num_points * 2) + self.attention_weights = nn.Linear(embed_dims, + num_heads * num_levels * num_points) + self.value_proj = nn.Linear(embed_dims, embed_dims) + self.output_proj = nn.Linear(embed_dims, embed_dims) + self.init_weights() + + def init_weights(self): + """Default initialization for Parameters of Module.""" + constant_init(self.sampling_offsets, 0.) + thetas = torch.arange( + self.num_heads, + dtype=torch.float32) * (2.0 * math.pi / self.num_heads) + grid_init = torch.stack([thetas.cos(), thetas.sin()], -1) + grid_init = (grid_init / + grid_init.abs().max(-1, keepdim=True)[0]).view( + self.num_heads, 1, 1, + 2).repeat(1, self.num_levels, self.num_points, 1) + for i in range(self.num_points): + grid_init[:, :, i, :] *= i + 1 + + self.sampling_offsets.bias.data = grid_init.view(-1) + constant_init(self.attention_weights, val=0., bias=0.) + xavier_init(self.value_proj, distribution='uniform', bias=0.) + xavier_init(self.output_proj, distribution='uniform', bias=0.) + self._is_init = True + + @deprecated_api_warning({'residual': 'identity'}, + cls_name='MultiScaleDeformableAttention') + def forward(self, + query, + key=None, + value=None, + identity=None, + query_pos=None, + key_padding_mask=None, + reference_points=None, + spatial_shapes=None, + level_start_index=None, + flag='decoder', + **kwargs): + """Forward Function of MultiScaleDeformAttention. + + Args: + query (Tensor): Query of Transformer with shape + (num_query, bs, embed_dims). + key (Tensor): The key tensor with shape + `(num_key, bs, embed_dims)`. + value (Tensor): The value tensor with shape + `(num_key, bs, embed_dims)`. + identity (Tensor): The tensor used for addition, with the + same shape as `query`. Default None. If None, + `query` will be used. + query_pos (Tensor): The positional encoding for `query`. + Default: None. + key_pos (Tensor): The positional encoding for `key`. Default + None. + reference_points (Tensor): The normalized reference + points with shape (bs, num_query, num_levels, 2), + all elements is range in [0, 1], top-left (0,0), + bottom-right (1, 1), including padding area. + or (N, Length_{query}, num_levels, 4), add + additional two dimensions is (w, h) to + form reference boxes. + key_padding_mask (Tensor): ByteTensor for `query`, with + shape [bs, num_key]. + spatial_shapes (Tensor): Spatial shape of features in + different levels. With shape (num_levels, 2), + last dimension represents (h, w). + level_start_index (Tensor): The start index of each level. + A tensor has shape ``(num_levels, )`` and can be represented + as [0, h_0*w_0, h_0*w_0+h_1*w_1, ...]. + + Returns: + Tensor: forwarded results with shape [num_query, bs, embed_dims]. + """ + + if value is None: + value = query + + if identity is None: + identity = query + if query_pos is not None: + query = query + query_pos + if not self.batch_first: + # change to (bs, num_query ,embed_dims) + query = query.permute(1, 0, 2) + value = value.permute(1, 0, 2) + + bs, num_query, _ = query.shape + bs, num_value, _ = value.shape + assert (spatial_shapes[:, 0] * spatial_shapes[:, 1]).sum() == num_value + + value = self.value_proj(value) + if key_padding_mask is not None: + value = value.masked_fill(key_padding_mask[..., None], 0.0) + value = value.view(bs, num_value, self.num_heads, -1) + + sampling_offsets = self.sampling_offsets(query).view( + bs, num_query, self.num_heads, self.num_levels, self.num_points, 2) + attention_weights = self.attention_weights(query).view( + bs, num_query, self.num_heads, self.num_levels * self.num_points) + attention_weights = attention_weights.softmax(-1) + + attention_weights = attention_weights.view(bs, num_query, + self.num_heads, + self.num_levels, + self.num_points) + if reference_points.shape[-1] == 2: + offset_normalizer = torch.stack( + [spatial_shapes[..., 1], spatial_shapes[..., 0]], -1) + sampling_locations = reference_points[:, :, None, :, None, :] \ + + sampling_offsets \ + / offset_normalizer[None, None, None, :, None, :] + elif reference_points.shape[-1] == 4: + sampling_locations = reference_points[:, :, None, :, None, :2] \ + + sampling_offsets / self.num_points \ + * reference_points[:, :, None, :, None, 2:] \ + * 0.5 + else: + raise ValueError( + f'Last dim of reference_points must be' + f' 2 or 4, but get {reference_points.shape[-1]} instead.') + if torch.cuda.is_available() and value.is_cuda: + + # using fp16 deformable attention is unstable because it performs many sum operations + if value.dtype == torch.float16: + MultiScaleDeformableAttnFunction = MultiScaleDeformableAttnFunction_fp32 + else: + MultiScaleDeformableAttnFunction = MultiScaleDeformableAttnFunction_fp32 + output = MultiScaleDeformableAttnFunction.apply( + value, spatial_shapes, level_start_index, sampling_locations, + attention_weights, self.im2col_step) + else: + output = multi_scale_deformable_attn_pytorch( + value, spatial_shapes, sampling_locations, attention_weights) + + output = self.output_proj(output) + + if not self.batch_first: + # (num_query, bs ,embed_dims) + output = output.permute(1, 0, 2) + + return self.dropout(output) + identity diff --git a/projects/mmdet3d_plugin/bevformer/modules/encoder.py b/projects/mmdet3d_plugin/bevformer/modules/encoder.py new file mode 100644 index 0000000..8f7e876 --- /dev/null +++ b/projects/mmdet3d_plugin/bevformer/modules/encoder.py @@ -0,0 +1,406 @@ + +# --------------------------------------------- +# Copyright (c) OpenMMLab. All rights reserved. +# --------------------------------------------- +# Modified by Zhiqi Li +# --------------------------------------------- + +from projects.mmdet3d_plugin.models.utils.bricks import run_time +from projects.mmdet3d_plugin.models.utils.visual import save_tensor +from .custom_base_transformer_layer import MyCustomBaseTransformerLayer +import copy +import warnings +from mmcv.cnn.bricks.registry import (ATTENTION, + TRANSFORMER_LAYER, + TRANSFORMER_LAYER_SEQUENCE) +from mmcv.cnn.bricks.transformer import TransformerLayerSequence +from mmcv.runner import force_fp32, auto_fp16 +import numpy as np +import torch +import cv2 as cv +import mmcv +from mmcv.utils import TORCH_VERSION, digit_version +from mmcv.utils import ext_loader +ext_module = ext_loader.load_ext( + '_ext', ['ms_deform_attn_backward', 'ms_deform_attn_forward']) + + +@TRANSFORMER_LAYER_SEQUENCE.register_module() +class BEVFormerEncoder(TransformerLayerSequence): + + """ + Attention with both self and cross + Implements the decoder in DETR transformer. + Args: + return_intermediate (bool): Whether to return intermediate outputs. + coder_norm_cfg (dict): Config of last normalization layer. Default: + `LN`. + """ + + def __init__(self, *args, pc_range=None, num_points_in_pillar=4, return_intermediate=False, dataset_type='nuscenes', + **kwargs): + + super(BEVFormerEncoder, self).__init__(*args, **kwargs) + self.return_intermediate = return_intermediate + + self.num_points_in_pillar = num_points_in_pillar + self.pc_range = pc_range + self.fp16_enabled = False + + @staticmethod + def get_reference_points(H, W, Z=8, num_points_in_pillar=4, dim='3d', bs=1, device='cuda', dtype=torch.float): + """Get the reference points used in SCA and TSA. + Args: + H, W: spatial shape of bev. + Z: hight of pillar. + D: sample D points uniformly from each pillar. + device (obj:`device`): The device where + reference_points should be. + Returns: + Tensor: reference points used in decoder, has \ + shape (bs, num_keys, num_levels, 2). + 这些3d点的获取方法比较简单: + 对BEV空间(HW为像素分辨率)上进行采样, + """ + + # reference points in 3D space, used in spatial cross-attention (SCA) + if dim == '3d': + zs = torch.linspace(0.5, Z - 0.5, num_points_in_pillar, dtype=dtype, + device=device).view(-1, 1, 1).expand(num_points_in_pillar, H, W) / Z + xs = torch.linspace(0.5, W - 0.5, W, dtype=dtype, + device=device).view(1, 1, W).expand(num_points_in_pillar, H, W) / W + ys = torch.linspace(0.5, H - 0.5, H, dtype=dtype, + device=device).view(1, H, 1).expand(num_points_in_pillar, H, W) / H + ref_3d = torch.stack((xs, ys, zs), -1) # [4, 150, 150, 3] + ref_3d = ref_3d.permute(0, 3, 1, 2).flatten(2).permute(0, 2, 1) # [4,22500,3] + ref_3d = ref_3d[None].repeat(bs, 1, 1, 1) # [1, 4, 22500, 3] + return ref_3d # + + # reference points on 2D bev plane, used in temporal self-attention (TSA). + elif dim == '2d': + ref_y, ref_x = torch.meshgrid( + torch.linspace( + 0.5, H - 0.5, H, dtype=dtype, device=device), + torch.linspace( + 0.5, W - 0.5, W, dtype=dtype, device=device) + ) + ref_y = ref_y.reshape(-1)[None] / H + ref_x = ref_x.reshape(-1)[None] / W + ref_2d = torch.stack((ref_x, ref_y), -1) + ref_2d = ref_2d.repeat(bs, 1, 1).unsqueeze(2) + return ref_2d + + # This function must use fp32!!! + @force_fp32(apply_to=('reference_points', 'img_metas')) + def point_sampling(self, reference_points, pc_range, img_metas): + + lidar2img = [] + for img_meta in img_metas: + lidar2img.append(img_meta['lidar2img']) + lidar2img = np.asarray(lidar2img) + lidar2img = reference_points.new_tensor(lidar2img) # (B, N, 4, 4) # 坐标变换矩阵,将3d点映射到2d图像平面上去 #[1, 6, 4, 4] + reference_points = reference_points.clone() # [1, 4, 22500, 3] + # 映射到真实世界的3d坐标 + reference_points[..., 0:1] = reference_points[..., 0:1] * \ + (pc_range[3] - pc_range[0]) + pc_range[0] + reference_points[..., 1:2] = reference_points[..., 1:2] * \ + (pc_range[4] - pc_range[1]) + pc_range[1] + reference_points[..., 2:3] = reference_points[..., 2:3] * \ + (pc_range[5] - pc_range[2]) + pc_range[2] + # 构建齐次坐标系 + reference_points = torch.cat( + (reference_points, torch.ones_like(reference_points[..., :1])), -1) # [1, 4, 22500, 4] + # 变换 [4, 1, 22500,4] + reference_points = reference_points.permute(1, 0, 2, 3) + + D, B, num_query = reference_points.size()[:3] + num_cam = lidar2img.size(1) + + reference_points = reference_points.view( + D, B, 1, num_query, 4).repeat(1, 1, num_cam, 1, 1).unsqueeze(-1) # [4, 1, 6, 22500, 4, 1] + + lidar2img = lidar2img.view( + 1, B, num_cam, 1, 4, 4).repeat(D, 1, 1, num_query, 1, 1) # [4, 1, 6, 22500, 4, 4] + + reference_points_cam = torch.matmul(lidar2img.to(torch.float32), + reference_points.to(torch.float32)).squeeze(-1) # 计算处每个参考点在6个view的坐标 [4, 1, 6, 22500, 4], 最后一维是坐标的齐次值 + eps = 1e-5 + + bev_mask = (reference_points_cam[..., 2:3] > eps) + reference_points_cam = reference_points_cam[..., 0:2] / torch.maximum( + reference_points_cam[..., 2:3], torch.ones_like(reference_points_cam[..., 2:3]) * eps) # 坐标系转换?x,y坐标/z 将从齐次坐标系转换到笛卡尔直角坐标系,这时候还是像素坐标呢? + + reference_points_cam[..., 0] /= img_metas[0]['img_shape'][0][1] # 这里的物理意义是什么?归一化了 + reference_points_cam[..., 1] /= img_metas[0]['img_shape'][0][0] #[4, 1, 6, 22500, 2]现在的维度 + + bev_mask = (bev_mask & (reference_points_cam[..., 1:2] > 0.0) + & (reference_points_cam[..., 1:2] < 1.0) + & (reference_points_cam[..., 0:1] < 1.0) + & (reference_points_cam[..., 0:1] > 0.0)) # 归一化之后将越界的点过滤 + if digit_version(TORCH_VERSION) >= digit_version('1.8'): + bev_mask = torch.nan_to_num(bev_mask) # 处理那些不可计算的部分,如果为nan,就补0 + else: + bev_mask = bev_mask.new_tensor( + np.nan_to_num(bev_mask.cpu().numpy())) + + reference_points_cam = reference_points_cam.permute(2, 1, 3, 0, 4) # [6, 1, 22500, 4, 2] + bev_mask = bev_mask.permute(2, 1, 3, 0, 4).squeeze(-1) + + return reference_points_cam, bev_mask + + @auto_fp16() + def forward(self, + bev_query, + key, + value, + *args, + bev_h=None, + bev_w=None, + bev_pos=None, + spatial_shapes=None, + level_start_index=None, + valid_ratios=None, + prev_bev=None, + shift=0., + **kwargs): + """Forward function for `TransformerDecoder`. + Args: + bev_query (Tensor): Input BEV query with shape + `(num_query, bs, embed_dims)`. + key & value (Tensor): Input multi-cameta features with shape + (num_cam, num_value, bs, embed_dims) + reference_points (Tensor): The reference + points of offset. has shape + (bs, num_query, 4) when as_two_stage, + otherwise has shape ((bs, num_query, 2). + valid_ratios (Tensor): The radios of valid + points on the feature map, has shape + (bs, num_levels, 2) + Returns: + Tensor: Results with shape [1, num_query, bs, embed_dims] when + return_intermediate is `False`, otherwise it has shape + [num_layers, num_query, bs, embed_dims]. + """ + + output = bev_query + intermediate = [] + # 现在还没表示真实世界空间坐标 + ref_3d = self.get_reference_points( + bev_h, bev_w, self.pc_range[5]-self.pc_range[2], self.num_points_in_pillar, dim='3d', bs=bev_query.size(1), device=bev_query.device, dtype=bev_query.dtype) #3D点后续用于SCA + ref_2d = self.get_reference_points( + bev_h, bev_w, dim='2d', bs=bev_query.size(1), device=bev_query.device, dtype=bev_query.dtype) # TSA需要的是2d的采样点,在BEV上 + + reference_points_cam, bev_mask = self.point_sampling( + ref_3d, self.pc_range, kwargs['img_metas']) + + # bug: this code should be 'shift_ref_2d = ref_2d.clone()', we keep this bug for reproducing our results in paper. + shift_ref_2d = ref_2d # .clone() + shift_ref_2d += shift[:, None, None, :] + + # (num_query, bs, embed_dims) -> (bs, num_query, embed_dims) + bev_query = bev_query.permute(1, 0, 2) + bev_pos = bev_pos.permute(1, 0, 2) + bs, len_bev, num_bev_level, _ = ref_2d.shape + if prev_bev is not None: + prev_bev = prev_bev.permute(1, 0, 2) + prev_bev = torch.stack( + [prev_bev, bev_query], 1).reshape(bs*2, len_bev, -1) + hybird_ref_2d = torch.stack([shift_ref_2d, ref_2d], 1).reshape( + bs*2, len_bev, num_bev_level, 2) + else: + hybird_ref_2d = torch.stack([ref_2d, ref_2d], 1).reshape( + bs*2, len_bev, num_bev_level, 2) + + for lid, layer in enumerate(self.layers): + output = layer( + bev_query, + key, + value, + *args, + bev_pos=bev_pos, + ref_2d=hybird_ref_2d, + ref_3d=ref_3d, + bev_h=bev_h, + bev_w=bev_w, + spatial_shapes=spatial_shapes, + level_start_index=level_start_index, + reference_points_cam=reference_points_cam, + bev_mask=bev_mask, + prev_bev=prev_bev, + **kwargs) + + bev_query = output + if self.return_intermediate: + intermediate.append(output) + + if self.return_intermediate: + return torch.stack(intermediate) + + return output + + +@TRANSFORMER_LAYER.register_module() +class BEVFormerLayer(MyCustomBaseTransformerLayer): + """Implements decoder layer in DETR transformer. + Args: + attn_cfgs (list[`mmcv.ConfigDict`] | list[dict] | dict )): + Configs for self_attention or cross_attention, the order + should be consistent with it in `operation_order`. If it is + a dict, it would be expand to the number of attention in + `operation_order`. + feedforward_channels (int): The hidden dimension for FFNs. + ffn_dropout (float): Probability of an element to be zeroed + in ffn. Default 0.0. + operation_order (tuple[str]): The execution order of operation + in transformer. Such as ('self_attn', 'norm', 'ffn', 'norm'). + Default:None + act_cfg (dict): The activation config for FFNs. Default: `LN` + norm_cfg (dict): Config dict for normalization layer. + Default: `LN`. + ffn_num_fcs (int): The number of fully-connected layers in FFNs. + Default:2. + """ + + def __init__(self, + attn_cfgs, + feedforward_channels, + ffn_dropout=0.0, + operation_order=None, + act_cfg=dict(type='ReLU', inplace=True), + norm_cfg=dict(type='LN'), + ffn_num_fcs=2, + **kwargs): + super(BEVFormerLayer, self).__init__( + attn_cfgs=attn_cfgs, + feedforward_channels=feedforward_channels, + ffn_dropout=ffn_dropout, + operation_order=operation_order, + act_cfg=act_cfg, + norm_cfg=norm_cfg, + ffn_num_fcs=ffn_num_fcs, + **kwargs) + self.fp16_enabled = False + assert len(operation_order) == 6 + assert set(operation_order) == set( + ['self_attn', 'norm', 'cross_attn', 'ffn']) + + def forward(self, + query, + key=None, + value=None, + bev_pos=None, + query_pos=None, + key_pos=None, + attn_masks=None, + query_key_padding_mask=None, + key_padding_mask=None, + ref_2d=None, + ref_3d=None, + bev_h=None, + bev_w=None, + reference_points_cam=None, + mask=None, + spatial_shapes=None, + level_start_index=None, + prev_bev=None, + **kwargs): + """Forward function for `TransformerDecoderLayer`. + + **kwargs contains some specific arguments of attentions. + + Args: + query (Tensor): The input query with shape + [num_queries, bs, embed_dims] if + self.batch_first is False, else + [bs, num_queries embed_dims]. + key (Tensor): The key tensor with shape [num_keys, bs, + embed_dims] if self.batch_first is False, else + [bs, num_keys, embed_dims] . + value (Tensor): The value tensor with same shape as `key`. + query_pos (Tensor): The positional encoding for `query`. + Default: None. + key_pos (Tensor): The positional encoding for `key`. + Default: None. + attn_masks (List[Tensor] | None): 2D Tensor used in + calculation of corresponding attention. The length of + it should equal to the number of `attention` in + `operation_order`. Default: None. + query_key_padding_mask (Tensor): ByteTensor for `query`, with + shape [bs, num_queries]. Only used in `self_attn` layer. + Defaults to None. + key_padding_mask (Tensor): ByteTensor for `query`, with + shape [bs, num_keys]. Default: None. + + Returns: + Tensor: forwarded results with shape [num_queries, bs, embed_dims]. + """ + + norm_index = 0 + attn_index = 0 + ffn_index = 0 + identity = query + if attn_masks is None: + attn_masks = [None for _ in range(self.num_attn)] + elif isinstance(attn_masks, torch.Tensor): + attn_masks = [ + copy.deepcopy(attn_masks) for _ in range(self.num_attn) + ] + warnings.warn(f'Use same attn_mask in all attentions in ' + f'{self.__class__.__name__} ') + else: + assert len(attn_masks) == self.num_attn, f'The length of ' \ + f'attn_masks {len(attn_masks)} must be equal ' \ + f'to the number of attention in ' \ + f'operation_order {self.num_attn}' + + for layer in self.operation_order: + # temporal self attention + if layer == 'self_attn': + + query = self.attentions[attn_index]( + query, + prev_bev, + prev_bev, + identity if self.pre_norm else None, + query_pos=bev_pos, + key_pos=bev_pos, + attn_mask=attn_masks[attn_index], + key_padding_mask=query_key_padding_mask, + reference_points=ref_2d, + spatial_shapes=torch.tensor( + [[bev_h, bev_w]], device=query.device), + level_start_index=torch.tensor([0], device=query.device), + **kwargs) + attn_index += 1 + identity = query + + elif layer == 'norm': + query = self.norms[norm_index](query) + norm_index += 1 + + # spaital cross attention + elif layer == 'cross_attn': + query = self.attentions[attn_index]( + query, + key, + value, + identity if self.pre_norm else None, + query_pos=query_pos, + key_pos=key_pos, + reference_points=ref_3d, + reference_points_cam=reference_points_cam, + mask=mask, + attn_mask=attn_masks[attn_index], + key_padding_mask=key_padding_mask, + spatial_shapes=spatial_shapes, + level_start_index=level_start_index, + **kwargs) + attn_index += 1 + identity = query + + elif layer == 'ffn': + query = self.ffns[ffn_index]( + query, identity if self.pre_norm else None) + ffn_index += 1 + + return query diff --git a/projects/mmdet3d_plugin/bevformer/modules/multi_scale_deformable_attn_function.py b/projects/mmdet3d_plugin/bevformer/modules/multi_scale_deformable_attn_function.py new file mode 100644 index 0000000..77b0f31 --- /dev/null +++ b/projects/mmdet3d_plugin/bevformer/modules/multi_scale_deformable_attn_function.py @@ -0,0 +1,163 @@ +# --------------------------------------------- +# Copyright (c) OpenMMLab. All rights reserved. +# --------------------------------------------- +# Modified by Zhiqi Li +# --------------------------------------------- + +import torch +from torch.cuda.amp import custom_bwd, custom_fwd +from torch.autograd.function import Function, once_differentiable +from mmcv.utils import ext_loader +ext_module = ext_loader.load_ext( + '_ext', ['ms_deform_attn_backward', 'ms_deform_attn_forward']) + + +class MultiScaleDeformableAttnFunction_fp16(Function): + + @staticmethod + @custom_fwd(cast_inputs=torch.float16) + def forward(ctx, value, value_spatial_shapes, value_level_start_index, + sampling_locations, attention_weights, im2col_step): + """GPU version of multi-scale deformable attention. + + Args: + value (Tensor): The value has shape + (bs, num_keys, mum_heads, embed_dims//num_heads) + value_spatial_shapes (Tensor): Spatial shape of + each feature map, has shape (num_levels, 2), + last dimension 2 represent (h, w) + sampling_locations (Tensor): The location of sampling points, + has shape + (bs ,num_queries, num_heads, num_levels, num_points, 2), + the last dimension 2 represent (x, y). + attention_weights (Tensor): The weight of sampling points used + when calculate the attention, has shape + (bs ,num_queries, num_heads, num_levels, num_points), + im2col_step (Tensor): The step used in image to column. + + Returns: + Tensor: has shape (bs, num_queries, embed_dims) + """ + ctx.im2col_step = im2col_step + output = ext_module.ms_deform_attn_forward( + value, + value_spatial_shapes, + value_level_start_index, + sampling_locations, + attention_weights, + im2col_step=ctx.im2col_step) + ctx.save_for_backward(value, value_spatial_shapes, + value_level_start_index, sampling_locations, + attention_weights) + return output + + @staticmethod + @once_differentiable + @custom_bwd + def backward(ctx, grad_output): + """GPU version of backward function. + + Args: + grad_output (Tensor): Gradient + of output tensor of forward. + + Returns: + Tuple[Tensor]: Gradient + of input tensors in forward. + """ + value, value_spatial_shapes, value_level_start_index, \ + sampling_locations, attention_weights = ctx.saved_tensors + grad_value = torch.zeros_like(value) + grad_sampling_loc = torch.zeros_like(sampling_locations) + grad_attn_weight = torch.zeros_like(attention_weights) + + ext_module.ms_deform_attn_backward( + value, + value_spatial_shapes, + value_level_start_index, + sampling_locations, + attention_weights, + grad_output.contiguous(), + grad_value, + grad_sampling_loc, + grad_attn_weight, + im2col_step=ctx.im2col_step) + + return grad_value, None, None, \ + grad_sampling_loc, grad_attn_weight, None + + +class MultiScaleDeformableAttnFunction_fp32(Function): + + @staticmethod + @custom_fwd(cast_inputs=torch.float32) + def forward(ctx, value, value_spatial_shapes, value_level_start_index, + sampling_locations, attention_weights, im2col_step): + """GPU version of multi-scale deformable attention. + + Args: + value (Tensor): The value has shape + (bs, num_keys, mum_heads, embed_dims//num_heads) + value_spatial_shapes (Tensor): Spatial shape of + each feature map, has shape (num_levels, 2), + last dimension 2 represent (h, w) + sampling_locations (Tensor): The location of sampling points, + has shape + (bs ,num_queries, num_heads, num_levels, num_points, 2), + the last dimension 2 represent (x, y). + attention_weights (Tensor): The weight of sampling points used + when calculate the attention, has shape + (bs ,num_queries, num_heads, num_levels, num_points), + im2col_step (Tensor): The step used in image to column. + + Returns: + Tensor: has shape (bs, num_queries, embed_dims) + """ + + ctx.im2col_step = im2col_step + output = ext_module.ms_deform_attn_forward( + value, + value_spatial_shapes, + value_level_start_index, + sampling_locations, + attention_weights, + im2col_step=ctx.im2col_step) + ctx.save_for_backward(value, value_spatial_shapes, + value_level_start_index, sampling_locations, + attention_weights) + return output + + @staticmethod + @once_differentiable + @custom_bwd + def backward(ctx, grad_output): + """GPU version of backward function. + + Args: + grad_output (Tensor): Gradient + of output tensor of forward. + + Returns: + Tuple[Tensor]: Gradient + of input tensors in forward. + """ + value, value_spatial_shapes, value_level_start_index, \ + sampling_locations, attention_weights = ctx.saved_tensors + grad_value = torch.zeros_like(value) + grad_sampling_loc = torch.zeros_like(sampling_locations) + grad_attn_weight = torch.zeros_like(attention_weights) + + ext_module.ms_deform_attn_backward( + value, + value_spatial_shapes, + value_level_start_index, + sampling_locations, + attention_weights, + grad_output.contiguous(), + grad_value, + grad_sampling_loc, + grad_attn_weight, + im2col_step=ctx.im2col_step) + + return grad_value, None, None, \ + grad_sampling_loc, grad_attn_weight, None diff --git a/projects/mmdet3d_plugin/bevformer/modules/seg_subnet.py b/projects/mmdet3d_plugin/bevformer/modules/seg_subnet.py new file mode 100644 index 0000000..1dafe14 --- /dev/null +++ b/projects/mmdet3d_plugin/bevformer/modules/seg_subnet.py @@ -0,0 +1,185 @@ +import torch +import torch.nn as nn + +from torchvision.models.resnet import resnet18 +from ..modules.builder import SEG_ENCODER + +class Up(nn.Module): + def __init__(self, in_channels, out_channels, scale_factor=2): + super().__init__() + + self.up = nn.Upsample(scale_factor=scale_factor, mode='bilinear', + align_corners=True) + + self.conv = nn.Sequential( + nn.Conv2d(in_channels, out_channels, kernel_size=3, padding=1, bias=False), + nn.BatchNorm2d(out_channels), + nn.ReLU(inplace=True), + nn.Conv2d(out_channels, out_channels, kernel_size=3, padding=1, bias=False), + nn.BatchNorm2d(out_channels), + nn.ReLU(inplace=True) + ) + + def forward(self, x1, x2): + x1 = self.up(x1) + x1 = torch.cat([x2, x1], dim=1) #相当与通道维度上连接,以弥补因为使用mb导致的卷积信息丢失。 + return self.conv(x1) + +@SEG_ENCODER.register_module() +class SegEncode(nn.Module): + def __init__(self, inC, outC): + super(SegEncode, self).__init__() + trunk = resnet18(pretrained=False, zero_init_residual=True) + self.conv1 = nn.Conv2d(inC, 64, kernel_size=7, stride=2, padding=3, bias=False) + self.bn1 = trunk.bn1 + self.relu = trunk.relu + self.layer1 = trunk.layer1 + self.layer2 = trunk.layer2 + self.layer3 = trunk.layer3 + + self.up1 = Up(64 + 256, 256, scale_factor=4) + self.up2 = nn.Sequential( + nn.Upsample(scale_factor=2, mode='bilinear', + align_corners=True), + nn.Conv2d(256, 128, kernel_size=3, padding=1, bias=False), + nn.BatchNorm2d(128), + nn.ReLU(inplace=True), + nn.Conv2d(128, outC, kernel_size=1, padding=0), + ) + + def forward(self, x): #torch.Size([2, 256, 200, 400]) + x = self.conv1(x) #torch.Size([2, 64, 200, 400]) + x = self.bn1(x) + x = self.relu(x) + + x1 = self.layer1(x) #torch.Size([2, 64, 100, 200]) + x = self.layer2(x1) #torch.Size([2, 128, 50, 100]) + x2 = self.layer3(x) #torch.Size([2, 256, 25, 50]) + + x = self.up1(x2, x1) #torch.Size([2, 256, 100, 200]) + x = self.up2(x) #torch.Size([2, 4, 200, 400]) 语义分割预测特征图 + + return x + +@SEG_ENCODER.register_module() +class SegEncode_v1(nn.Module): + + def __init__(self, inC, outC): + super(SegEncode_v1, self).__init__() + self.seg_head = nn.Sequential( + nn.Conv2d(inC, inC, kernel_size=3, padding=1), + nn.ReLU(inplace=True), + nn.Conv2d(inC, outC , kernel_size=1)) + + def forward(self, x): + + return self.seg_head(x) + + +import math +import torch.nn as nn +from mmcv.cnn import ConvModule +from mmcv.runner import BaseModule, auto_fp16 + + +@SEG_ENCODER.register_module() +class DeconvEncode(BaseModule): + """The neck used in `CenterNet `_ for + object classification and box regression. + + Args: + in_channel (int): Number of input channels. + num_deconv_filters (tuple[int]): Number of filters per stage. + num_deconv_kernels (tuple[int]): Number of kernels per stage. + use_dcn (bool): If True, use DCNv2. Default: True. + init_cfg (dict or list[dict], optional): Initialization config dict. + """ + + def __init__(self, + in_channel, + num_deconv_filters, + num_deconv_kernels, + outC=4, + use_dcn=True, + init_cfg=None): + super(DeconvEncode, self).__init__(init_cfg) + assert len(num_deconv_filters) == len(num_deconv_kernels) + self.fp16_enabled = False + self.use_dcn = use_dcn + self.in_channel = in_channel + self.deconv_layers = self._make_deconv_layer(num_deconv_filters, + num_deconv_kernels) + + self.seg_head = nn.Sequential( + nn.Conv2d(num_deconv_filters[-1], num_deconv_filters[-1], kernel_size=3, padding=1), + nn.ReLU(inplace=True), + nn.Conv2d(num_deconv_filters[-1], outC , kernel_size=1)) + + def _make_deconv_layer(self, num_deconv_filters, num_deconv_kernels): + """use deconv layers to upsample backbone's output.""" + layers = [] + for i in range(len(num_deconv_filters)): + feat_channel = num_deconv_filters[i] + conv_module = ConvModule( + self.in_channel, + feat_channel, + 3, + padding=1, + conv_cfg=dict(type='DCNv2') if self.use_dcn else None, + norm_cfg=dict(type='BN')) + layers.append(conv_module) + upsample_module = ConvModule( + feat_channel, + feat_channel, + num_deconv_kernels[i], + stride=2, + padding=1, + conv_cfg=dict(type='deconv'), + norm_cfg=dict(type='BN')) + layers.append(upsample_module) + self.in_channel = feat_channel + + return nn.Sequential(*layers) + + def init_weights(self): + for m in self.modules(): + if isinstance(m, nn.ConvTranspose2d): + # In order to be consistent with the source code, + # reset the ConvTranspose2d initialization parameters + m.reset_parameters() + # Simulated bilinear upsampling kernel + w = m.weight.data + f = math.ceil(w.size(2) / 2) + c = (2 * f - 1 - f % 2) / (2. * f) + for i in range(w.size(2)): + for j in range(w.size(3)): + w[0, 0, i, j] = \ + (1 - math.fabs(i / f - c)) * ( + 1 - math.fabs(j / f - c)) + for c in range(1, w.size(0)): + w[c, 0, :, :] = w[0, 0, :, :] + elif isinstance(m, nn.BatchNorm2d): + nn.init.constant_(m.weight, 1) + nn.init.constant_(m.bias, 0) + # self.use_dcn is False + elif not self.use_dcn and isinstance(m, nn.Conv2d): + # In order to be consistent with the source code, + # reset the Conv2d initialization parameters + m.reset_parameters() + + @auto_fp16() + def forward(self, inputs): + outs = self.deconv_layers(inputs) + outs = self.seg_head(outs) + return outs + +""" + +dict( +type='DeconvEncode', +in_channel=256, +num_deconv_filters=(256, 128, 64), +num_deconv_kernels=(4, 4, 4), +use_dcn=True), + +""" diff --git a/projects/mmdet3d_plugin/bevformer/modules/seg_sugnet.py b/projects/mmdet3d_plugin/bevformer/modules/seg_sugnet.py new file mode 100644 index 0000000..d1a5b64 --- /dev/null +++ b/projects/mmdet3d_plugin/bevformer/modules/seg_sugnet.py @@ -0,0 +1,64 @@ +import torch +import torch.nn as nn + +from torchvision.models.resnet import resnet18 +from ..modules.builder import SEG_ENCODER + +class Up(nn.Module): + def __init__(self, in_channels, out_channels, scale_factor=2): + super().__init__() + + self.up = nn.Upsample(scale_factor=scale_factor, mode='bilinear', + align_corners=True) + + self.conv = nn.Sequential( + nn.Conv2d(in_channels, out_channels, kernel_size=3, padding=1, bias=False), + nn.BatchNorm2d(out_channels), + nn.ReLU(inplace=True), + nn.Conv2d(out_channels, out_channels, kernel_size=3, padding=1, bias=False), + nn.BatchNorm2d(out_channels), + nn.ReLU(inplace=True) + ) + + def forward(self, x1, x2): + x1 = self.up(x1) + x1 = torch.cat([x2, x1], dim=1) #相当与通道维度上连接,以弥补因为使用mb导致的卷积信息丢失。 + return self.conv(x1) + +@SEG_ENCODER.register_module() +class SegEncode(nn.Module): + def __init__(self, inC, outC, size): + super(SegEncode, self).__init__() + trunk = resnet18(pretrained=False, zero_init_residual=True) + self.conv1 = nn.Conv2d(inC, 64, kernel_size=7, stride=2, padding=3, bias=False) + self.bn1 = trunk.bn1 + self.relu = trunk.relu + self.up_sampler = nn.Upsample(size=size, mode='bilinear', align_corners=True) + self.layer1 = trunk.layer1 + self.layer2 = trunk.layer2 + self.layer3 = trunk.layer3 + + self.up1 = Up(64 + 256, 256, scale_factor=4) + self.up2 = nn.Sequential( + nn.Upsample(scale_factor=2, mode='bilinear', + align_corners=True), + nn.Conv2d(256, 128, kernel_size=3, padding=1, bias=False), + nn.BatchNorm2d(128), + nn.ReLU(inplace=True), + nn.Conv2d(128, outC, kernel_size=1, padding=0), + ) + + def forward(self, x): #torch.Size([2, 256, 200, 400]) + x = self.up_sampler(x) + x = self.conv1(x) #torch.Size([2, 64, 200, 400]) + x = self.bn1(x) + x = self.relu(x) + + x1 = self.layer1(x) #torch.Size([2, 64, 100, 200]) + x = self.layer2(x1) #torch.Size([2, 128, 50, 100]) + x2 = self.layer3(x) #torch.Size([2, 256, 25, 50]) + + x = self.up1(x2, x1) #torch.Size([2, 256, 100, 200]) + x = self.up2(x) #torch.Size([2, 4, 200, 400]) 语义分割预测特征图 + + return x diff --git a/projects/mmdet3d_plugin/bevformer/modules/seg_sunet.py b/projects/mmdet3d_plugin/bevformer/modules/seg_sunet.py new file mode 100644 index 0000000..d1a5b64 --- /dev/null +++ b/projects/mmdet3d_plugin/bevformer/modules/seg_sunet.py @@ -0,0 +1,64 @@ +import torch +import torch.nn as nn + +from torchvision.models.resnet import resnet18 +from ..modules.builder import SEG_ENCODER + +class Up(nn.Module): + def __init__(self, in_channels, out_channels, scale_factor=2): + super().__init__() + + self.up = nn.Upsample(scale_factor=scale_factor, mode='bilinear', + align_corners=True) + + self.conv = nn.Sequential( + nn.Conv2d(in_channels, out_channels, kernel_size=3, padding=1, bias=False), + nn.BatchNorm2d(out_channels), + nn.ReLU(inplace=True), + nn.Conv2d(out_channels, out_channels, kernel_size=3, padding=1, bias=False), + nn.BatchNorm2d(out_channels), + nn.ReLU(inplace=True) + ) + + def forward(self, x1, x2): + x1 = self.up(x1) + x1 = torch.cat([x2, x1], dim=1) #相当与通道维度上连接,以弥补因为使用mb导致的卷积信息丢失。 + return self.conv(x1) + +@SEG_ENCODER.register_module() +class SegEncode(nn.Module): + def __init__(self, inC, outC, size): + super(SegEncode, self).__init__() + trunk = resnet18(pretrained=False, zero_init_residual=True) + self.conv1 = nn.Conv2d(inC, 64, kernel_size=7, stride=2, padding=3, bias=False) + self.bn1 = trunk.bn1 + self.relu = trunk.relu + self.up_sampler = nn.Upsample(size=size, mode='bilinear', align_corners=True) + self.layer1 = trunk.layer1 + self.layer2 = trunk.layer2 + self.layer3 = trunk.layer3 + + self.up1 = Up(64 + 256, 256, scale_factor=4) + self.up2 = nn.Sequential( + nn.Upsample(scale_factor=2, mode='bilinear', + align_corners=True), + nn.Conv2d(256, 128, kernel_size=3, padding=1, bias=False), + nn.BatchNorm2d(128), + nn.ReLU(inplace=True), + nn.Conv2d(128, outC, kernel_size=1, padding=0), + ) + + def forward(self, x): #torch.Size([2, 256, 200, 400]) + x = self.up_sampler(x) + x = self.conv1(x) #torch.Size([2, 64, 200, 400]) + x = self.bn1(x) + x = self.relu(x) + + x1 = self.layer1(x) #torch.Size([2, 64, 100, 200]) + x = self.layer2(x1) #torch.Size([2, 128, 50, 100]) + x2 = self.layer3(x) #torch.Size([2, 256, 25, 50]) + + x = self.up1(x2, x1) #torch.Size([2, 256, 100, 200]) + x = self.up2(x) #torch.Size([2, 4, 200, 400]) 语义分割预测特征图 + + return x diff --git a/projects/mmdet3d_plugin/bevformer/modules/spatial_cross_attention.py b/projects/mmdet3d_plugin/bevformer/modules/spatial_cross_attention.py new file mode 100644 index 0000000..100d94f --- /dev/null +++ b/projects/mmdet3d_plugin/bevformer/modules/spatial_cross_attention.py @@ -0,0 +1,399 @@ + +# --------------------------------------------- +# Copyright (c) OpenMMLab. All rights reserved. +# --------------------------------------------- +# Modified by Zhiqi Li +# --------------------------------------------- + +from mmcv.ops.multi_scale_deform_attn import multi_scale_deformable_attn_pytorch +import warnings +import torch +import torch.nn as nn +import torch.nn.functional as F +from mmcv.cnn import xavier_init, constant_init +from mmcv.cnn.bricks.registry import (ATTENTION, + TRANSFORMER_LAYER, + TRANSFORMER_LAYER_SEQUENCE) +from mmcv.cnn.bricks.transformer import build_attention +import math +from mmcv.runner import force_fp32, auto_fp16 + +from mmcv.runner.base_module import BaseModule, ModuleList, Sequential + +from mmcv.utils import ext_loader +from .multi_scale_deformable_attn_function import MultiScaleDeformableAttnFunction_fp32, \ + MultiScaleDeformableAttnFunction_fp16 +from projects.mmdet3d_plugin.models.utils.bricks import run_time +ext_module = ext_loader.load_ext( + '_ext', ['ms_deform_attn_backward', 'ms_deform_attn_forward']) + + +@ATTENTION.register_module() +class SpatialCrossAttention(BaseModule): + """An attention module used in BEVFormer. + Args: + embed_dims (int): The embedding dimension of Attention. + Default: 256. + num_cams (int): The number of cameras + dropout (float): A Dropout layer on `inp_residual`. + Default: 0.. + init_cfg (obj:`mmcv.ConfigDict`): The Config for initialization. + Default: None. + deformable_attention: (dict): The config for the deformable attention used in SCA. + """ + + def __init__(self, + embed_dims=256, + num_cams=6, + pc_range=None, + dropout=0.1, + init_cfg=None, + batch_first=False, + deformable_attention=dict( + type='MSDeformableAttention3D', + embed_dims=256, + num_levels=4), + **kwargs + ): + super(SpatialCrossAttention, self).__init__(init_cfg) + + self.init_cfg = init_cfg + self.dropout = nn.Dropout(dropout) + self.pc_range = pc_range + self.fp16_enabled = False + self.deformable_attention = build_attention(deformable_attention) + self.embed_dims = embed_dims + self.num_cams = num_cams + self.output_proj = nn.Linear(embed_dims, embed_dims) + self.batch_first = batch_first + self.init_weight() + + def init_weight(self): + """Default initialization for Parameters of Module.""" + xavier_init(self.output_proj, distribution='uniform', bias=0.) + + @force_fp32(apply_to=('query', 'key', 'value', 'query_pos', 'reference_points_cam')) + def forward(self, + query, + key, + value, + residual=None, + query_pos=None, + key_padding_mask=None, + reference_points=None, + spatial_shapes=None, + reference_points_cam=None, + bev_mask=None, + level_start_index=None, + flag='encoder', + **kwargs): + """Forward Function of Detr3DCrossAtten. + Args: + query (Tensor): Query of Transformer with shape + (num_query, bs, embed_dims). + key (Tensor): The key tensor with shape + `(num_key, bs, embed_dims)`. + value (Tensor): The value tensor with shape + `(num_key, bs, embed_dims)`. (B, N, C, H, W) + residual (Tensor): The tensor used for addition, with the + same shape as `x`. Default None. If None, `x` will be used. + query_pos (Tensor): The positional encoding for `query`. + Default: None. + key_pos (Tensor): The positional encoding for `key`. Default + None. + reference_points (Tensor): The normalized reference + points with shape (bs, num_query, 4), + all elements is range in [0, 1], top-left (0,0), + bottom-right (1, 1), including padding area. + or (N, Length_{query}, num_levels, 4), add + additional two dimensions is (w, h) to + form reference boxes. + key_padding_mask (Tensor): ByteTensor for `query`, with + shape [bs, num_key]. + spatial_shapes (Tensor): Spatial shape of features in + different level. With shape (num_levels, 2), + last dimension represent (h, w). + level_start_index (Tensor): The start index of each level. + A tensor has shape (num_levels) and can be represented + as [0, h_0*w_0, h_0*w_0+h_1*w_1, ...]. + Returns: + Tensor: forwarded results with shape [num_query, bs, embed_dims]. + """ + + if key is None: + key = query + if value is None: + value = key + + if residual is None: + inp_residual = query + slots = torch.zeros_like(query) + if query_pos is not None: + query = query + query_pos + + bs, num_query, _ = query.size() + + D = reference_points_cam.size(3) + indexes = [] + for i, mask_per_img in enumerate(bev_mask): + index_query_per_img = mask_per_img[0].sum(-1).nonzero().squeeze(-1) + indexes.append(index_query_per_img) + max_len = max([len(each) for each in indexes]) + + # each camera only interacts with its corresponding BEV queries. This step can greatly save GPU memory. + queries_rebatch = query.new_zeros( + [bs, self.num_cams, max_len, self.embed_dims]) + reference_points_rebatch = reference_points_cam.new_zeros( + [bs, self.num_cams, max_len, D, 2]) + + for j in range(bs): + for i, reference_points_per_img in enumerate(reference_points_cam): + index_query_per_img = indexes[i] + queries_rebatch[j, i, :len(index_query_per_img)] = query[j, index_query_per_img] + reference_points_rebatch[j, i, :len(index_query_per_img)] = reference_points_per_img[j, index_query_per_img] + + num_cams, l, bs, embed_dims = key.shape + + key = key.permute(2, 0, 1, 3).reshape( + bs * self.num_cams, l, self.embed_dims) + value = value.permute(2, 0, 1, 3).reshape( + bs * self.num_cams, l, self.embed_dims) + + queries = self.deformable_attention(query=queries_rebatch.view(bs*self.num_cams, max_len, self.embed_dims), key=key, value=value, + reference_points=reference_points_rebatch.view(bs*self.num_cams, max_len, D, 2), spatial_shapes=spatial_shapes, + level_start_index=level_start_index).view(bs, self.num_cams, max_len, self.embed_dims) + for j in range(bs): + for i, index_query_per_img in enumerate(indexes): + slots[j, index_query_per_img] += queries[j, i, :len(index_query_per_img)] + + count = bev_mask.sum(-1) > 0 + count = count.permute(1, 2, 0).sum(-1) + count = torch.clamp(count, min=1.0) + slots = slots / count[..., None] + slots = self.output_proj(slots) + + return self.dropout(slots) + inp_residual + + +@ATTENTION.register_module() +class MSDeformableAttention3D(BaseModule): + """An attention module used in BEVFormer based on Deformable-Detr. + `Deformable DETR: Deformable Transformers for End-to-End Object Detection. + `_. + Args: + embed_dims (int): The embedding dimension of Attention. + Default: 256. + num_heads (int): Parallel attention heads. Default: 64. + num_levels (int): The number of feature map used in + Attention. Default: 4. + num_points (int): The number of sampling points for + each query in each head. Default: 4. + im2col_step (int): The step used in image_to_column. + Default: 64. + dropout (float): A Dropout layer on `inp_identity`. + Default: 0.1. + batch_first (bool): Key, Query and Value are shape of + (batch, n, embed_dim) + or (n, batch, embed_dim). Default to False. + norm_cfg (dict): Config dict for normalization layer. + Default: None. + init_cfg (obj:`mmcv.ConfigDict`): The Config for initialization. + Default: None. + """ + + def __init__(self, + embed_dims=256, + num_heads=8, + num_levels=4, + num_points=8, + im2col_step=64, + dropout=0.1, + batch_first=True, + norm_cfg=None, + init_cfg=None): + super().__init__(init_cfg) + if embed_dims % num_heads != 0: + raise ValueError(f'embed_dims must be divisible by num_heads, ' + f'but got {embed_dims} and {num_heads}') + dim_per_head = embed_dims // num_heads + self.norm_cfg = norm_cfg + self.batch_first = batch_first + self.output_proj = None + self.fp16_enabled = False + + # you'd better set dim_per_head to a power of 2 + # which is more efficient in the CUDA implementation + def _is_power_of_2(n): + if (not isinstance(n, int)) or (n < 0): + raise ValueError( + 'invalid input for _is_power_of_2: {} (type: {})'.format( + n, type(n))) + return (n & (n - 1) == 0) and n != 0 + + if not _is_power_of_2(dim_per_head): + warnings.warn( + "You'd better set embed_dims in " + 'MultiScaleDeformAttention to make ' + 'the dimension of each attention head a power of 2 ' + 'which is more efficient in our CUDA implementation.') + + self.im2col_step = im2col_step + self.embed_dims = embed_dims + self.num_levels = num_levels + self.num_heads = num_heads + self.num_points = num_points + self.sampling_offsets = nn.Linear( + embed_dims, num_heads * num_levels * num_points * 2) + self.attention_weights = nn.Linear(embed_dims, + num_heads * num_levels * num_points) + self.value_proj = nn.Linear(embed_dims, embed_dims) + + self.init_weights() + + def init_weights(self): + """Default initialization for Parameters of Module.""" + constant_init(self.sampling_offsets, 0.) + thetas = torch.arange( + self.num_heads, + dtype=torch.float32) * (2.0 * math.pi / self.num_heads) + grid_init = torch.stack([thetas.cos(), thetas.sin()], -1) + grid_init = (grid_init / + grid_init.abs().max(-1, keepdim=True)[0]).view( + self.num_heads, 1, 1, + 2).repeat(1, self.num_levels, self.num_points, 1) + for i in range(self.num_points): + grid_init[:, :, i, :] *= i + 1 + + self.sampling_offsets.bias.data = grid_init.view(-1) + constant_init(self.attention_weights, val=0., bias=0.) + xavier_init(self.value_proj, distribution='uniform', bias=0.) + xavier_init(self.output_proj, distribution='uniform', bias=0.) + self._is_init = True + + def forward(self, + query, + key=None, + value=None, + identity=None, + query_pos=None, + key_padding_mask=None, + reference_points=None, + spatial_shapes=None, + level_start_index=None, + **kwargs): + """Forward Function of MultiScaleDeformAttention. + Args: + query (Tensor): Query of Transformer with shape + ( bs, num_query, embed_dims). + key (Tensor): The key tensor with shape + `(bs, num_key, embed_dims)`. + value (Tensor): The value tensor with shape + `(bs, num_key, embed_dims)`. + identity (Tensor): The tensor used for addition, with the + same shape as `query`. Default None. If None, + `query` will be used. + query_pos (Tensor): The positional encoding for `query`. + Default: None. + key_pos (Tensor): The positional encoding for `key`. Default + None. + reference_points (Tensor): The normalized reference + points with shape (bs, num_query, num_levels, 2), + all elements is range in [0, 1], top-left (0,0), + bottom-right (1, 1), including padding area. + or (N, Length_{query}, num_levels, 4), add + additional two dimensions is (w, h) to + form reference boxes. + key_padding_mask (Tensor): ByteTensor for `query`, with + shape [bs, num_key]. + spatial_shapes (Tensor): Spatial shape of features in + different levels. With shape (num_levels, 2), + last dimension represents (h, w). + level_start_index (Tensor): The start index of each level. + A tensor has shape ``(num_levels, )`` and can be represented + as [0, h_0*w_0, h_0*w_0+h_1*w_1, ...]. + Returns: + Tensor: forwarded results with shape [num_query, bs, embed_dims]. + """ + + if value is None: + value = query + if identity is None: + identity = query + if query_pos is not None: + query = query + query_pos + + if not self.batch_first: + # change to (bs, num_query ,embed_dims) + query = query.permute(1, 0, 2) + value = value.permute(1, 0, 2) + + bs, num_query, _ = query.shape + bs, num_value, _ = value.shape + assert (spatial_shapes[:, 0] * spatial_shapes[:, 1]).sum() == num_value + + value = self.value_proj(value) + if key_padding_mask is not None: + value = value.masked_fill(key_padding_mask[..., None], 0.0) + value = value.view(bs, num_value, self.num_heads, -1) + sampling_offsets = self.sampling_offsets(query).view( + bs, num_query, self.num_heads, self.num_levels, self.num_points, 2) + attention_weights = self.attention_weights(query).view( + bs, num_query, self.num_heads, self.num_levels * self.num_points) + + attention_weights = attention_weights.softmax(-1) + + attention_weights = attention_weights.view(bs, num_query, + self.num_heads, + self.num_levels, + self.num_points) + + if reference_points.shape[-1] == 2: + """ + For each BEV query, it owns `num_Z_anchors` in 3D space that having different heights. + After proejcting, each BEV query has `num_Z_anchors` reference points in each 2D image. + For each referent point, we sample `num_points` sampling points. + For `num_Z_anchors` reference points, it has overall `num_points * num_Z_anchors` sampling points. + """ + offset_normalizer = torch.stack( + [spatial_shapes[..., 1], spatial_shapes[..., 0]], -1) + + bs, num_query, num_Z_anchors, xy = reference_points.shape + reference_points = reference_points[:, :, None, None, None, :, :] + sampling_offsets = sampling_offsets / \ + offset_normalizer[None, None, None, :, None, :] + bs, num_query, num_heads, num_levels, num_all_points, xy = sampling_offsets.shape + sampling_offsets = sampling_offsets.view( + bs, num_query, num_heads, num_levels, num_all_points // num_Z_anchors, num_Z_anchors, xy) + sampling_locations = reference_points + sampling_offsets + bs, num_query, num_heads, num_levels, num_points, num_Z_anchors, xy = sampling_locations.shape + assert num_all_points == num_points * num_Z_anchors + + sampling_locations = sampling_locations.view( + bs, num_query, num_heads, num_levels, num_all_points, xy) + + elif reference_points.shape[-1] == 4: + assert False + else: + raise ValueError( + f'Last dim of reference_points must be' + f' 2 or 4, but get {reference_points.shape[-1]} instead.') + + # sampling_locations.shape: bs, num_query, num_heads, num_levels, num_all_points, 2 + # attention_weights.shape: bs, num_query, num_heads, num_levels, num_all_points + # + + if torch.cuda.is_available() and value.is_cuda: + if value.dtype == torch.float16: + MultiScaleDeformableAttnFunction = MultiScaleDeformableAttnFunction_fp32 + else: + MultiScaleDeformableAttnFunction = MultiScaleDeformableAttnFunction_fp32 + output = MultiScaleDeformableAttnFunction.apply( + value, spatial_shapes, level_start_index, sampling_locations, + attention_weights, self.im2col_step) + else: + output = multi_scale_deformable_attn_pytorch( + value, spatial_shapes, sampling_locations, attention_weights) + if not self.batch_first: + output = output.permute(1, 0, 2) + + return output diff --git a/projects/mmdet3d_plugin/bevformer/modules/temporal_self_attention.py b/projects/mmdet3d_plugin/bevformer/modules/temporal_self_attention.py new file mode 100644 index 0000000..fed0df1 --- /dev/null +++ b/projects/mmdet3d_plugin/bevformer/modules/temporal_self_attention.py @@ -0,0 +1,274 @@ +# --------------------------------------------- +# Copyright (c) OpenMMLab. All rights reserved. +# --------------------------------------------- +# Modified by Zhiqi Li +# --------------------------------------------- + +from projects.mmdet3d_plugin.models.utils.bricks import run_time +from .multi_scale_deformable_attn_function import MultiScaleDeformableAttnFunction_fp32 +from mmcv.ops.multi_scale_deform_attn import multi_scale_deformable_attn_pytorch +import warnings +import torch +import torch.nn as nn +from mmcv.cnn import xavier_init, constant_init +from mmcv.cnn.bricks.registry import ATTENTION +import math +from mmcv.runner.base_module import BaseModule, ModuleList, Sequential +from mmcv.utils import (ConfigDict, build_from_cfg, deprecated_api_warning, + to_2tuple) + +from mmcv.utils import ext_loader +ext_module = ext_loader.load_ext( + '_ext', ['ms_deform_attn_backward', 'ms_deform_attn_forward']) + + +@ATTENTION.register_module() +class TemporalSelfAttention(BaseModule): + """An attention module used in BEVFormer based on Deformable-Detr. + + `Deformable DETR: Deformable Transformers for End-to-End Object Detection. + `_. + + Args: + embed_dims (int): The embedding dimension of Attention. + Default: 256. + num_heads (int): Parallel attention heads. Default: 64. + num_levels (int): The number of feature map used in + Attention. Default: 4. + num_points (int): The number of sampling points for + each query in each head. Default: 4. + im2col_step (int): The step used in image_to_column. + Default: 64. + dropout (float): A Dropout layer on `inp_identity`. + Default: 0.1. + batch_first (bool): Key, Query and Value are shape of + (batch, n, embed_dim) + or (n, batch, embed_dim). Default to True. + norm_cfg (dict): Config dict for normalization layer. + Default: None. + init_cfg (obj:`mmcv.ConfigDict`): The Config for initialization. + Default: None. + num_bev_queue (int): In this version, we only use one history BEV and one currenct BEV. + the length of BEV queue is 2. + """ + + def __init__(self, + embed_dims=256, + num_heads=8, + num_levels=4, + num_points=4, + num_bev_queue=2, + im2col_step=64, + dropout=0.1, + batch_first=True, + norm_cfg=None, + init_cfg=None): + + super().__init__(init_cfg) + if embed_dims % num_heads != 0: + raise ValueError(f'embed_dims must be divisible by num_heads, ' + f'but got {embed_dims} and {num_heads}') + dim_per_head = embed_dims // num_heads + self.norm_cfg = norm_cfg + self.dropout = nn.Dropout(dropout) + self.batch_first = batch_first + self.fp16_enabled = False + + # you'd better set dim_per_head to a power of 2 + # which is more efficient in the CUDA implementation + def _is_power_of_2(n): + if (not isinstance(n, int)) or (n < 0): + raise ValueError( + 'invalid input for _is_power_of_2: {} (type: {})'.format( + n, type(n))) + return (n & (n - 1) == 0) and n != 0 + + if not _is_power_of_2(dim_per_head): + warnings.warn( + "You'd better set embed_dims in " + 'MultiScaleDeformAttention to make ' + 'the dimension of each attention head a power of 2 ' + 'which is more efficient in our CUDA implementation.') + + self.im2col_step = im2col_step + self.embed_dims = embed_dims + self.num_levels = num_levels + self.num_heads = num_heads + self.num_points = num_points + self.num_bev_queue = num_bev_queue + self.sampling_offsets = nn.Linear( + embed_dims*self.num_bev_queue, num_bev_queue*num_heads * num_levels * num_points * 2) + self.attention_weights = nn.Linear(embed_dims*self.num_bev_queue, + num_bev_queue*num_heads * num_levels * num_points) #num_bev_queue指的是网络融合了前后帧,以cat的方式,因此维度应该×num_bev_queue + self.value_proj = nn.Linear(embed_dims, embed_dims) + self.output_proj = nn.Linear(embed_dims, embed_dims) + self.init_weights() + + def init_weights(self): + """Default initialization for Parameters of Module.""" + constant_init(self.sampling_offsets, 0.) + thetas = torch.arange( + self.num_heads, + dtype=torch.float32) * (2.0 * math.pi / self.num_heads) + grid_init = torch.stack([thetas.cos(), thetas.sin()], -1) + grid_init = (grid_init / + grid_init.abs().max(-1, keepdim=True)[0]).view( + self.num_heads, 1, 1, + 2).repeat(1, self.num_levels*self.num_bev_queue, self.num_points, 1) + + for i in range(self.num_points): + grid_init[:, :, i, :] *= i + 1 + + self.sampling_offsets.bias.data = grid_init.view(-1) + constant_init(self.attention_weights, val=0., bias=0.) + xavier_init(self.value_proj, distribution='uniform', bias=0.) + xavier_init(self.output_proj, distribution='uniform', bias=0.) + self._is_init = True + + def forward(self, + query, + key=None, + value=None, + identity=None, + query_pos=None, + key_padding_mask=None, + reference_points=None, + spatial_shapes=None, + level_start_index=None, + flag='decoder', + + **kwargs): + """Forward Function of MultiScaleDeformAttention. + + Args: + query (Tensor): Query of Transformer with shape + (num_query, bs, embed_dims). + key (Tensor): The key tensor with shape + `(num_key, bs, embed_dims)`. + value (Tensor): The value tensor with shape + `(num_key, bs, embed_dims)`. + identity (Tensor): The tensor used for addition, with the + same shape as `query`. Default None. If None, + `query` will be used. + query_pos (Tensor): The positional encoding for `query`. + Default: None. + key_pos (Tensor): The positional encoding for `key`. Default + None. + reference_points (Tensor): The normalized reference + points with shape (bs, num_query, num_levels, 2), + all elements is range in [0, 1], top-left (0,0), + bottom-right (1, 1), including padding area. + or (N, Length_{query}, num_levels, 4), add + additional two dimensions is (w, h) to + form reference boxes. + key_padding_mask (Tensor): ByteTensor for `query`, with + shape [bs, num_key]. + spatial_shapes (Tensor): Spatial shape of features in + different levels. With shape (num_levels, 2), + last dimension represents (h, w). + level_start_index (Tensor): The start index of each level. + A tensor has shape ``(num_levels, )`` and can be represented + as [0, h_0*w_0, h_0*w_0+h_1*w_1, ...]. + + Returns: + Tensor: forwarded results with shape [num_query, bs, embed_dims]. + """ + + if value is None: #处理初始情况 + assert self.batch_first + bs, len_bev, c = query.shape + value = torch.stack([query, query], 1).reshape(bs*2, len_bev, c) # TAS初始化value + + # value = torch.cat([query, query], 0) + + if identity is None: + identity = query + if query_pos is not None: + query = query + query_pos + if not self.batch_first: + # change to (bs, num_query ,embed_dims) + query = query.permute(1, 0, 2) + value = value.permute(1, 0, 2) + bs, num_query, embed_dims = query.shape + _, num_value, _ = value.shape + assert (spatial_shapes[:, 0] * spatial_shapes[:, 1]).sum() == num_value + assert self.num_bev_queue == 2 + + query = torch.cat([value[:bs], query], -1) # 定义了三帧的情况吧 + value = self.value_proj(value) + + if key_padding_mask is not None: + value = value.masked_fill(key_padding_mask[..., None], 0.0) + + value = value.reshape(bs*self.num_bev_queue, + num_value, self.num_heads, -1) # 将value拆分成多头形式 + + sampling_offsets = self.sampling_offsets(query) # 用query拟合出偏移量,deta_x, deta_y + sampling_offsets = sampling_offsets.view( + bs, num_query, self.num_heads, self.num_bev_queue, self.num_levels, self.num_points, 2) # 时间注意力对参考点周围的四个偏移点进行注意力计算 + attention_weights = self.attention_weights(query).view( + bs, num_query, self.num_heads, self.num_bev_queue, self.num_levels * self.num_points) + attention_weights = attention_weights.softmax(-1) # 注意力权重是什么?是直接将查询进行映射,然后用softmax归一化到0-1,作为注意力加权矩阵 + + attention_weights = attention_weights.view(bs, num_query, + self.num_heads, + self.num_bev_queue, + self.num_levels, + self.num_points) # [1, 22500, 8, 2, 1, 4] + + attention_weights = attention_weights.permute(0, 3, 1, 2, 4, 5)\ + .reshape(bs*self.num_bev_queue, num_query, self.num_heads, self.num_levels, self.num_points).contiguous() # [2, 22500, 8, 1, 4]) + sampling_offsets = sampling_offsets.permute(0, 3, 1, 2, 4, 5, 6)\ + .reshape(bs*self.num_bev_queue, num_query, self.num_heads, self.num_levels, self.num_points, 2) # 每个采样点的[2, 22500, 8, 1, 4] + + if reference_points.shape[-1] == 2: + offset_normalizer = torch.stack( + [spatial_shapes[..., 1], spatial_shapes[..., 0]], -1) + sampling_locations = reference_points[:, :, None, :, None, :] \ + + sampling_offsets \ + / offset_normalizer[None, None, None, :, None, :] # 归一化参考点 + + elif reference_points.shape[-1] == 4: + sampling_locations = reference_points[:, :, None, :, None, :2] \ + + sampling_offsets / self.num_points \ + * reference_points[:, :, None, :, None, 2:] \ + * 0.5 + else: + raise ValueError( + f'Last dim of reference_points must be' + f' 2 or 4, but get {reference_points.shape[-1]} instead.') + if torch.cuda.is_available() and value.is_cuda: + + # using fp16 deformable attention is unstable because it performs many sum operations + if value.dtype == torch.float16: + MultiScaleDeformableAttnFunction = MultiScaleDeformableAttnFunction_fp32 + else: + MultiScaleDeformableAttnFunction = MultiScaleDeformableAttnFunction_fp32 + output = MultiScaleDeformableAttnFunction.apply( + value, spatial_shapes, level_start_index, sampling_locations, + attention_weights, self.im2col_step) + else: + """ + value: + """ + output = multi_scale_deformable_attn_pytorch( + value, spatial_shapes, sampling_locations, attention_weights) + + # output shape (bs*num_bev_queue, num_query, embed_dims) + # (bs*num_bev_queue, num_query, embed_dims)-> (num_query, embed_dims, bs*num_bev_queue) + output = output.permute(1, 2, 0) + + # fuse history value and current value + # (num_query, embed_dims, bs*num_bev_queue)-> (num_query, embed_dims, bs, num_bev_queue) + output = output.view(num_query, embed_dims, bs, self.num_bev_queue) + output = output.mean(-1) + + # (num_query, embed_dims, bs)-> (bs, num_query, embed_dims) + output = output.permute(2, 0, 1) + + output = self.output_proj(output) + + if not self.batch_first: + output = output.permute(1, 0, 2) + + return self.dropout(output) + identity diff --git a/projects/mmdet3d_plugin/bevformer/modules/transformer.py b/projects/mmdet3d_plugin/bevformer/modules/transformer.py new file mode 100644 index 0000000..5c3152e --- /dev/null +++ b/projects/mmdet3d_plugin/bevformer/modules/transformer.py @@ -0,0 +1,315 @@ +# --------------------------------------------- +# Copyright (c) OpenMMLab. All rights reserved. +# --------------------------------------------- +# Modified by Zhiqi Li +# --------------------------------------------- + +import numpy as np +import torch +import torch.nn as nn +from mmcv.cnn import xavier_init +from mmcv.cnn.bricks.transformer import build_transformer_layer_sequence +from mmcv.runner.base_module import BaseModule + +from mmdet.models.utils.builder import TRANSFORMER +from torch.nn.init import normal_ +from projects.mmdet3d_plugin.models.utils.visual import save_tensor +from mmcv.runner.base_module import BaseModule +from torchvision.transforms.functional import rotate +from .temporal_self_attention import TemporalSelfAttention +from .spatial_cross_attention import MSDeformableAttention3D +from .decoder import CustomMSDeformableAttention +from projects.mmdet3d_plugin.models.utils.bricks import run_time +from mmcv.runner import force_fp32, auto_fp16 + + +@TRANSFORMER.register_module() +class PerceptionTransformer(BaseModule): + """Implements the Detr3D transformer. + Args: + as_two_stage (bool): Generate query from encoder features. + Default: False. + num_feature_levels (int): Number of feature maps from FPN: + Default: 4. + two_stage_num_proposals (int): Number of proposals when set + `as_two_stage` as True. Default: 300. + """ + + def __init__(self, + num_feature_levels=4, + num_cams=6, + two_stage_num_proposals=300, + encoder=None, + decoder=None, + embed_dims=256, + rotate_prev_bev=True, + use_shift=True, + use_can_bus=True, + can_bus_norm=True, + use_cams_embeds=True, + rotate_center=[100, 100], + lss_transformer=None, + **kwargs): + super(PerceptionTransformer, self).__init__(**kwargs) + self.encoder = build_transformer_layer_sequence(encoder) + if lss_transformer is not None: + self.lss_encoder = build_transformer_layer_sequence(lss_transformer) + else: + self.lss_encoder = None + + if decoder is not None: + self.decoder = build_transformer_layer_sequence(decoder) + else: + self.decoder = None + self.embed_dims = embed_dims + self.num_feature_levels = num_feature_levels + self.num_cams = num_cams + self.fp16_enabled = False + + self.rotate_prev_bev = rotate_prev_bev + self.use_shift = use_shift + self.use_can_bus = use_can_bus + self.can_bus_norm = can_bus_norm + self.use_cams_embeds = use_cams_embeds + + self.two_stage_num_proposals = two_stage_num_proposals + self.init_layers() + self.rotate_center = rotate_center + + def init_layers(self): + """Initialize layers of the Detr3DTransformer.""" + self.level_embeds = nn.Parameter(torch.Tensor( + self.num_feature_levels, self.embed_dims)) + self.cams_embeds = nn.Parameter( + torch.Tensor(self.num_cams, self.embed_dims)) + self.reference_points = nn.Linear(self.embed_dims, 3) + self.can_bus_mlp = nn.Sequential( + nn.Linear(18, self.embed_dims // 2), + nn.ReLU(inplace=True), + nn.Linear(self.embed_dims // 2, self.embed_dims), + nn.ReLU(inplace=True), + ) + if self.can_bus_norm: + self.can_bus_mlp.add_module('norm', nn.LayerNorm(self.embed_dims)) + + def init_weights(self): + """Initialize the transformer weights.""" + for p in self.parameters(): + if p.dim() > 1: + nn.init.xavier_uniform_(p) + for m in self.modules(): + if isinstance(m, MSDeformableAttention3D) or isinstance(m, TemporalSelfAttention) \ + or isinstance(m, CustomMSDeformableAttention): + try: + m.init_weight() + except AttributeError: + m.init_weights() + normal_(self.level_embeds) + normal_(self.cams_embeds) + xavier_init(self.reference_points, distribution='uniform', bias=0.) + xavier_init(self.can_bus_mlp, distribution='uniform', bias=0.) + + def get_lss_bev_feature( + self, + mlvl_feats, + **kwargs): + + x = mlvl_feats[-1] + rots, trans, intrins, post_rots, post_trans = None + + lss_bev_feature = self.transformer(x, rots, trans, intrins, post_rots, post_trans) + + return lss_bev_feature + + @auto_fp16(apply_to=('mlvl_feats', 'bev_queries', 'prev_bev', 'bev_pos')) + def get_bev_features( + self, + mlvl_feats, + bev_queries, + bev_h, + bev_w, + grid_length=[0.512, 0.512], + bev_pos=None, + prev_bev=None, + **kwargs): + """ + obtain bev features. + """ + + bs = mlvl_feats[0].size(0) + bev_queries = bev_queries.unsqueeze(1).repeat(1, bs, 1) + bev_pos = bev_pos.flatten(2).permute(2, 0, 1) + + # obtain rotation angle and shift with ego motion + delta_x = np.array([each['can_bus'][0] + for each in kwargs['img_metas']]) + delta_y = np.array([each['can_bus'][1] + for each in kwargs['img_metas']]) + ego_angle = np.array( + [each['can_bus'][-2] / np.pi * 180 for each in kwargs['img_metas']]) + grid_length_y = grid_length[0] + grid_length_x = grid_length[1] + translation_length = np.sqrt(delta_x ** 2 + delta_y ** 2) + translation_angle = np.arctan2(delta_y, delta_x) / np.pi * 180 + bev_angle = ego_angle - translation_angle + shift_y = translation_length * \ + np.cos(bev_angle / 180 * np.pi) / grid_length_y / bev_h + shift_x = translation_length * \ + np.sin(bev_angle / 180 * np.pi) / grid_length_x / bev_w + shift_y = shift_y * self.use_shift + shift_x = shift_x * self.use_shift + shift = bev_queries.new_tensor( + [shift_x, shift_y]).permute(1, 0) # xy, bs -> bs, xy + + if prev_bev is not None: + if prev_bev.shape[1] == bev_h * bev_w: + prev_bev = prev_bev.permute(1, 0, 2) + if self.rotate_prev_bev: + for i in range(bs): + # num_prev_bev = prev_bev.size(1) + rotation_angle = kwargs['img_metas'][i]['can_bus'][-1] + tmp_prev_bev = prev_bev[:, i].reshape( + bev_h, bev_w, -1).permute(2, 0, 1) + tmp_prev_bev = rotate(tmp_prev_bev, rotation_angle, + center=self.rotate_center) + tmp_prev_bev = tmp_prev_bev.permute(1, 2, 0).reshape( + bev_h * bev_w, 1, -1) + prev_bev[:, i] = tmp_prev_bev[:, 0] + + # add can bus signals + can_bus = bev_queries.new_tensor( + [each['can_bus'] for each in kwargs['img_metas']]) # [:, :] + can_bus = self.can_bus_mlp(can_bus)[None, :, :] + bev_queries = bev_queries + can_bus * self.use_can_bus + + feat_flatten = [] + spatial_shapes = [] + for lvl, feat in enumerate(mlvl_feats): + bs, num_cam, c, h, w = feat.shape + spatial_shape = (h, w) + feat = feat.flatten(3).permute(1, 0, 3, 2) + if self.use_cams_embeds: + feat = feat + self.cams_embeds[:, None, None, :].to(feat.dtype) + feat = feat + self.level_embeds[None, + None, lvl:lvl + 1, :].to(feat.dtype) + spatial_shapes.append(spatial_shape) + feat_flatten.append(feat) + + feat_flatten = torch.cat(feat_flatten, 2) + spatial_shapes = torch.as_tensor( + spatial_shapes, dtype=torch.long, device=bev_pos.device) + level_start_index = torch.cat((spatial_shapes.new_zeros( + (1,)), spatial_shapes.prod(1).cumsum(0)[:-1])) + + feat_flatten = feat_flatten.permute( + 0, 2, 1, 3) # (num_cam, H*W, bs, embed_dims) + + bev_embed = self.encoder( + bev_queries, + feat_flatten, + feat_flatten, + bev_h=bev_h, + bev_w=bev_w, + bev_pos=bev_pos, + spatial_shapes=spatial_shapes, + level_start_index=level_start_index, + prev_bev=prev_bev, + shift=shift, + **kwargs + ) + + return bev_embed + + @auto_fp16(apply_to=('mlvl_feats', 'bev_queries', 'object_query_embed', 'prev_bev', 'bev_pos')) + def forward(self, + mlvl_feats, + bev_queries, + object_query_embed, + bev_h, + bev_w, + grid_length=[0.512, 0.512], + bev_pos=None, + reg_branches=None, + cls_branches=None, + prev_bev=None, + **kwargs): + """Forward function for `Detr3DTransformer`. + Args: + mlvl_feats (list(Tensor)): Input queries from + different level. Each element has shape + [bs, num_cams, embed_dims, h, w]. + bev_queries (Tensor): (bev_h*bev_w, c) + bev_pos (Tensor): (bs, embed_dims, bev_h, bev_w) + object_query_embed (Tensor): The query embedding for decoder, + with shape [num_query, c]. + reg_branches (obj:`nn.ModuleList`): Regression heads for + feature maps from each decoder layer. Only would + be passed when `with_box_refine` is True. Default to None. + Returns: + tuple[Tensor]: results of decoder containing the following tensor. + - bev_embed: BEV features + - inter_states: Outputs from decoder. If + return_intermediate_dec is True output has shape \ + (num_dec_layers, bs, num_query, embed_dims), else has \ + shape (1, bs, num_query, embed_dims). + - init_reference_out: The initial value of reference \ + points, has shape (bs, num_queries, 4). + - inter_references_out: The internal value of reference \ + points in decoder, has shape \ + (num_dec_layers, bs,num_query, embed_dims) + - enc_outputs_class: The classification score of \ + proposals generated from \ + encoder's feature maps, has shape \ + (batch, h*w, num_classes). \ + Only would be returned when `as_two_stage` is True, \ + otherwise None. + - enc_outputs_coord_unact: The regression results \ + generated from encoder's feature maps., has shape \ + (batch, h*w, 4). Only would \ + be returned when `as_two_stage` is True, \ + otherwise None. + """ + + bev_embed = self.get_bev_features( + mlvl_feats, + bev_queries, + bev_h, + bev_w, + grid_length=grid_length, + bev_pos=bev_pos, + prev_bev=prev_bev, + **kwargs) # bev_embed shape: bs, bev_h*bev_w, embed_dims + + bs = mlvl_feats[0].size(0) + query_pos, query = torch.split( + object_query_embed, self.embed_dims, dim=1) + query_pos = query_pos.unsqueeze(0).expand(bs, -1, -1) + query = query.unsqueeze(0).expand(bs, -1, -1) + reference_points = self.reference_points(query_pos) + reference_points = reference_points.sigmoid() + init_reference_out = reference_points + + query = query.permute(1, 0, 2) + query_pos = query_pos.permute(1, 0, 2) + bev_embed = bev_embed.permute(1, 0, 2) + + if self.decoder is not None: + + inter_states, inter_references = self.decoder( + query=query, + key=None, + value=bev_embed, + query_pos=query_pos, + reference_points=reference_points, + reg_branches=reg_branches, + cls_branches=cls_branches, + spatial_shapes=torch.tensor([[bev_h, bev_w]], device=query.device), + level_start_index=torch.tensor([0], device=query.device), + **kwargs) + + inter_references_out = inter_references + + return bev_embed, inter_states, init_reference_out, inter_references_out + + else: + return bev_embed, None, None, None diff --git a/projects/mmdet3d_plugin/bevformer/runner/__init__.py b/projects/mmdet3d_plugin/bevformer/runner/__init__.py new file mode 100644 index 0000000..03f906c --- /dev/null +++ b/projects/mmdet3d_plugin/bevformer/runner/__init__.py @@ -0,0 +1 @@ +from .epoch_based_runner import EpochBasedRunner_video \ No newline at end of file diff --git a/projects/mmdet3d_plugin/bevformer/runner/epoch_based_runner.py b/projects/mmdet3d_plugin/bevformer/runner/epoch_based_runner.py new file mode 100644 index 0000000..bd3fb34 --- /dev/null +++ b/projects/mmdet3d_plugin/bevformer/runner/epoch_based_runner.py @@ -0,0 +1,97 @@ +# Copyright (c) OpenMMLab. All rights reserved. +# --------------------------------------------- +# Modified by Zhiqi Li +# --------------------------------------------- + +import os.path as osp +import torch +import mmcv +from mmcv.runner.base_runner import BaseRunner +from mmcv.runner.epoch_based_runner import EpochBasedRunner +from mmcv.runner.builder import RUNNERS +from mmcv.runner.checkpoint import save_checkpoint +from mmcv.runner.utils import get_host_info +from pprint import pprint +from mmcv.parallel.data_container import DataContainer + + +@RUNNERS.register_module() +class EpochBasedRunner_video(EpochBasedRunner): + + ''' + # basic logic + + input_sequence = [a, b, c] # given a sequence of samples + + prev_bev = None + for each in input_sequcene[:-1] + prev_bev = eval_model(each, prev_bev)) # inference only. + + model(input_sequcene[-1], prev_bev) # train the last sample. + ''' + + def __init__(self, + model, + eval_model=None, + batch_processor=None, + optimizer=None, + work_dir=None, + logger=None, + meta=None, + keys=['gt_bboxes_3d', 'gt_labels_3d', 'img'], + max_iters=None, + max_epochs=None): + super().__init__(model, + batch_processor, + optimizer, + work_dir, + logger, + meta, + max_iters, + max_epochs) + keys.append('img_metas') + self.keys = keys + self.eval_model = eval_model + self.eval_model.eval() + + def run_iter(self, data_batch, train_mode, **kwargs): + if self.batch_processor is not None: + assert False + # outputs = self.batch_processor( + # self.model, data_batch, train_mode=train_mode, **kwargs) + elif train_mode: + + num_samples = data_batch['img'].data[0].size(1) + data_list = [] + prev_bev = None + for i in range(num_samples): + data = {} + for key in self.keys: + if key not in ['img_metas', 'img', 'points']: + data[key] = data_batch[key] + else: + if key == 'img': + data['img'] = DataContainer(data=[data_batch['img'].data[0][:, i]], cpu_only=data_batch['img'].cpu_only, stack=True) + elif key == 'img_metas': + data['img_metas'] = DataContainer(data=[[each[i] for each in data_batch['img_metas'].data[0]]], cpu_only=data_batch['img_metas'].cpu_only) + else: + assert False + data_list.append(data) + with torch.no_grad(): + for i in range(num_samples-1): + if data_list[i]['img_metas'].data[0][0]['prev_bev_exists']: + data_list[i]['prev_bev'] = DataContainer(data=[prev_bev], cpu_only=False) + prev_bev = self.eval_model.val_step(data_list[i], self.optimizer, **kwargs) + if data_list[-1]['img_metas'].data[0][0]['prev_bev_exists']: + data_list[-1]['prev_bev'] = DataContainer(data=[prev_bev], cpu_only=False) + outputs = self.model.train_step(data_list[-1], self.optimizer, **kwargs) + else: + assert False + # outputs = self.model.val_step(data_batch, self.optimizer, **kwargs) + + if not isinstance(outputs, dict): + raise TypeError('"batch_processor()" or "model.train_step()"' + 'and "model.val_step()" must return a dict') + if 'log_vars' in outputs: + self.log_buffer.update(outputs['log_vars'], outputs['num_samples']) + self.outputs = outputs \ No newline at end of file diff --git a/projects/mmdet3d_plugin/bevformer/runner/loss/__init__.py b/projects/mmdet3d_plugin/bevformer/runner/loss/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/projects/mmdet3d_plugin/core/bbox/assigners/__init__.py b/projects/mmdet3d_plugin/core/bbox/assigners/__init__.py new file mode 100755 index 0000000..23156d8 --- /dev/null +++ b/projects/mmdet3d_plugin/core/bbox/assigners/__init__.py @@ -0,0 +1,3 @@ +from .hungarian_assigner_3d import HungarianAssigner3D + +__all__ = ['HungarianAssigner3D'] diff --git a/projects/mmdet3d_plugin/core/bbox/assigners/__pycache__/__init__.cpython-38.pyc b/projects/mmdet3d_plugin/core/bbox/assigners/__pycache__/__init__.cpython-38.pyc new file mode 100644 index 0000000000000000000000000000000000000000..39f55f8bcab89fa2464333c37579895ee70adbb9 GIT binary patch literal 268 zcmYjLyH3O~5VUhAfzVxrpr=g37HLli5FjcV1cjSblC^vW+Z)-5czg*TK*KMkrQ#Q; 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The costs are weighted sum of three components: + classification cost, regression L1 cost and regression iou cost. The + targets don't include the no_object, so generally there are more + predictions than targets. After the one-to-one matching, the un-matched + are treated as backgrounds. Thus each query prediction will be assigned + with `0` or a positive integer indicating the ground truth index: + - 0: negative sample, no assigned gt + - positive integer: positive sample, index (1-based) of assigned gt + Args: + cls_weight (int | float, optional): The scale factor for classification + cost. Default 1.0. + bbox_weight (int | float, optional): The scale factor for regression + L1 cost. Default 1.0. + iou_weight (int | float, optional): The scale factor for regression + iou cost. Default 1.0. + iou_calculator (dict | optional): The config for the iou calculation. + Default type `BboxOverlaps2D`. + iou_mode (str | optional): "iou" (intersection over union), "iof" + (intersection over foreground), or "giou" (generalized + intersection over union). Default "giou". + """ + + def __init__(self, + cls_cost=dict(type='ClassificationCost', weight=1.), + reg_cost=dict(type='BBoxL1Cost', weight=1.0), + iou_cost=dict(type='IoUCost', weight=0.0), + pc_range=None): + self.cls_cost = build_match_cost(cls_cost) + self.reg_cost = build_match_cost(reg_cost) + self.iou_cost = build_match_cost(iou_cost) + self.pc_range = pc_range + + def assign(self, + bbox_pred, + cls_pred, + gt_bboxes, + gt_labels, + gt_bboxes_ignore=None, + eps=1e-7): + """Computes one-to-one matching based on the weighted costs. + This method assign each query prediction to a ground truth or + background. The `assigned_gt_inds` with -1 means don't care, + 0 means negative sample, and positive number is the index (1-based) + of assigned gt. + The assignment is done in the following steps, the order matters. + 1. assign every prediction to -1 + 2. compute the weighted costs + 3. do Hungarian matching on CPU based on the costs + 4. assign all to 0 (background) first, then for each matched pair + between predictions and gts, treat this prediction as foreground + and assign the corresponding gt index (plus 1) to it. + Args: + bbox_pred (Tensor): Predicted boxes with normalized coordinates + (cx, cy, w, h), which are all in range [0, 1]. Shape + [num_query, 4]. + cls_pred (Tensor): Predicted classification logits, shape + [num_query, num_class]. + gt_bboxes (Tensor): Ground truth boxes with unnormalized + coordinates (x1, y1, x2, y2). Shape [num_gt, 4]. + gt_labels (Tensor): Label of `gt_bboxes`, shape (num_gt,). + gt_bboxes_ignore (Tensor, optional): Ground truth bboxes that are + labelled as `ignored`. Default None. + eps (int | float, optional): A value added to the denominator for + numerical stability. Default 1e-7. + Returns: + :obj:`AssignResult`: The assigned result. + """ + assert gt_bboxes_ignore is None, \ + 'Only case when gt_bboxes_ignore is None is supported.' + num_gts, num_bboxes = gt_bboxes.size(0), bbox_pred.size(0) + + # 1. assign -1 by default + assigned_gt_inds = bbox_pred.new_full((num_bboxes, ), + -1, + dtype=torch.long) + assigned_labels = bbox_pred.new_full((num_bboxes, ), + -1, + dtype=torch.long) + if num_gts == 0 or num_bboxes == 0: + # No ground truth or boxes, return empty assignment + if num_gts == 0: + # No ground truth, assign all to background + assigned_gt_inds[:] = 0 + return AssignResult( + num_gts, assigned_gt_inds, None, labels=assigned_labels) + + # 2. compute the weighted costs + # classification and bboxcost. + cls_cost = self.cls_cost(cls_pred, gt_labels) + # regression L1 cost + + normalized_gt_bboxes = normalize_bbox(gt_bboxes, self.pc_range) + + reg_cost = self.reg_cost(bbox_pred[:, :8], normalized_gt_bboxes[:, :8]) + + # weighted sum of above two costs + cost = cls_cost + reg_cost + + # 3. do Hungarian matching on CPU using linear_sum_assignment + cost = cost.detach().cpu() + if linear_sum_assignment is None: + raise ImportError('Please run "pip install scipy" ' + 'to install scipy first.') + matched_row_inds, matched_col_inds = linear_sum_assignment(cost) + matched_row_inds = torch.from_numpy(matched_row_inds).to( + bbox_pred.device) + matched_col_inds = torch.from_numpy(matched_col_inds).to( + bbox_pred.device) + + # 4. assign backgrounds and foregrounds + # assign all indices to backgrounds first + assigned_gt_inds[:] = 0 + # assign foregrounds based on matching results + assigned_gt_inds[matched_row_inds] = matched_col_inds + 1 + assigned_labels[matched_row_inds] = gt_labels[matched_col_inds] + return AssignResult( + num_gts, assigned_gt_inds, None, labels=assigned_labels) \ No newline at end of file diff --git a/projects/mmdet3d_plugin/core/bbox/coders/__init__.py b/projects/mmdet3d_plugin/core/bbox/coders/__init__.py new file mode 100755 index 0000000..c670f5e --- /dev/null +++ b/projects/mmdet3d_plugin/core/bbox/coders/__init__.py @@ -0,0 +1,3 @@ +from .nms_free_coder import NMSFreeCoder + +__all__ = ['NMSFreeCoder'] diff --git a/projects/mmdet3d_plugin/core/bbox/coders/__pycache__/__init__.cpython-38.pyc b/projects/mmdet3d_plugin/core/bbox/coders/__pycache__/__init__.cpython-38.pyc new file mode 100644 index 0000000000000000000000000000000000000000..bc6b0e9402e7c7966a2b192127b5cb185a9e9229 GIT binary patch literal 251 zcmWIL<>g`kf+dPGl3juHV-N=!FabFZKwK;aBvKes7;_kM8KW2(8B&jS9iC^LR8Tq-X`stq%?QmxW@c9)#)Brq3cMS&+FfP4 zi@*PRU1v*SPzNa93Ez_A%`@Io%dL63U+o2NM+xg+coC^sP zt?linzYHEeef0R*4h+}0$a0y6Nqi)N!5}}3aOHBllJxs9D@dPm(ziJ6+q`YgrhSLk zx%Z0nYrMgm@OF8N`|z%F3uIZ*e(%Z7hf)Y5Lii_2$Tl3rB9w>?bIIWQdqZGgTofWI za@lP%Xg`)Cb>C1pnnr;PvyosMNvw)bhDjb4yPf;&nVHOoY?{Ye!J;Ie@oK$Um8&9% zL{_i+K{iX-1{?}fJP8jO3XY=9&Zg_SMreC*oTtw8rVk!$e!a(8Q-r($a~%a6n$&bAJ6ISEiZ zTicI6{t&!h$gQc&_rUekR+@qnzR!bcG8+LeT51b*1r)fe+R9QDps$(@WOw>fdqEIq zaS;S>!(j?VAa$2sK1XjYdw=(mH-ad*YDnYHDAxf36(>C)%mq4Bu3pk+LIR=??TQR# z`YzB4O+&1sTi4F2zDG8GyJ)Bn3}|!GPvOjx?2)-$(i3`0<`mu#+NboyF6~qLsWo@z zH8kj+^ER2g6?KQq>tOc!I+C79YJ8!}m0)NtwpOp=yC(gWu@3~*L zPP|iqwTT7aeD2&MFz55ygvdXX4Nj5s1+MZZHJ}n$)xe#8PvwK6xre(nN@vgK?(fj; z8l?xoV{z}d*3eqVn*cYC*2$!H(&mj*I&YWl*Km2!!JOgj|3X!GQ6(P>pGTU)JBO4 zjE^g}@mypomjD1yXT@|@C^nRNS|JiTd_0V!u!tf0$0FpLxcXXC<8Uh2Cm0|vWV^$X58RTG#SZ!mMvi_F2s-src&^) zlwOJvV4On9Z#KLMJBW)hyUITtQbI0yoP{7Mx%tCR3Tjn&k)Y zbXE;4>bi?*!z9tS zz?puMP7{%0X628i1n*rlD5aYV$JWh-n^f4m4qNoyIOF0_$ve1T#bRdk>JV(71Xr%5 z{c7SuSFLJfyiT{O^ckd~n)Dk*I<109J2;{1CcC}Q^%`=68NmfrfJ6nLh=Uc1wz;t` zy3;5TnAy~)&=KFYJbIfp;qfe=I@Ga|cBxN2^H{W5%@gO`vsS2o?ojL8vDPjq*9Jb= z1Adl8;rW+WhyL8LkM3N9>1zT+2FXzXXqa>{3mCM14n#>gU56qOu@`9jg0@TRgaEQS zh*TpouNAa(j_D(^`)x$+6F^HqbgOg$C2j0aty4h68x9E)msN(I^dOhg^YfoZ8bv&%tvM?1vpqoLE=6seQ?FZm> zVRG@M9t1p(fY=7>-U$ zeh0qmRa0knvApb}HYLV={~I@EyMtMrK-noVh3I!Li`4G*B6YD#cUHuS!E;@MD1zeD m%BFf1To$wm|A4By8bMxn2krf^;&_1B%9OH*efW5`OaBeD;}F>Z literal 0 HcmV?d00001 diff --git a/projects/mmdet3d_plugin/core/bbox/coders/nms_free_coder.py b/projects/mmdet3d_plugin/core/bbox/coders/nms_free_coder.py new file mode 100755 index 0000000..15321f5 --- /dev/null +++ b/projects/mmdet3d_plugin/core/bbox/coders/nms_free_coder.py @@ -0,0 +1,122 @@ +import torch + +from mmdet.core.bbox import BaseBBoxCoder +from mmdet.core.bbox.builder import BBOX_CODERS +from projects.mmdet3d_plugin.core.bbox.util import denormalize_bbox +import numpy as np + + +@BBOX_CODERS.register_module() +class NMSFreeCoder(BaseBBoxCoder): + """Bbox coder for NMS-free detector. + Args: + pc_range (list[float]): Range of point cloud. + post_center_range (list[float]): Limit of the center. + Default: None. + max_num (int): Max number to be kept. Default: 100. + score_threshold (float): Threshold to filter boxes based on score. + Default: None. + code_size (int): Code size of bboxes. Default: 9 + """ + + def __init__(self, + pc_range, + voxel_size=None, + post_center_range=None, + max_num=100, + score_threshold=None, + num_classes=10): + self.pc_range = pc_range + self.voxel_size = voxel_size + self.post_center_range = post_center_range + self.max_num = max_num + self.score_threshold = score_threshold + self.num_classes = num_classes + + def encode(self): + + pass + + def decode_single(self, cls_scores, bbox_preds): + """Decode bboxes. + Args: + cls_scores (Tensor): Outputs from the classification head, \ + shape [num_query, cls_out_channels]. Note \ + cls_out_channels should includes background. + bbox_preds (Tensor): Outputs from the regression \ + head with normalized coordinate format (cx, cy, w, l, cz, h, rot_sine, rot_cosine, vx, vy). \ + Shape [num_query, 9]. + Returns: + list[dict]: Decoded boxes. + """ + max_num = self.max_num + + cls_scores = cls_scores.sigmoid() + scores, indexs = cls_scores.view(-1).topk(max_num) + labels = indexs % self.num_classes + bbox_index = indexs // self.num_classes + bbox_preds = bbox_preds[bbox_index] + + final_box_preds = denormalize_bbox(bbox_preds, self.pc_range) + final_scores = scores + final_preds = labels + + # use score threshold + if self.score_threshold is not None: + thresh_mask = final_scores > self.score_threshold + tmp_score = self.score_threshold + while thresh_mask.sum() == 0: + tmp_score *= 0.9 + if tmp_score < 0.01: + thresh_mask = final_scores > -1 + break + thresh_mask = final_scores >= tmp_score + + if self.post_center_range is not None: + self.post_center_range = torch.tensor( + self.post_center_range, device=scores.device) + mask = (final_box_preds[..., :3] >= + self.post_center_range[:3]).all(1) + mask &= (final_box_preds[..., :3] <= + self.post_center_range[3:]).all(1) + + if self.score_threshold: + mask &= thresh_mask + + boxes3d = final_box_preds[mask] + scores = final_scores[mask] + + labels = final_preds[mask] + predictions_dict = { + 'bboxes': boxes3d, + 'scores': scores, + 'labels': labels + } + + else: + raise NotImplementedError( + 'Need to reorganize output as a batch, only ' + 'support post_center_range is not None for now!') + return predictions_dict + + def decode(self, preds_dicts): + """Decode bboxes. + Args: + all_cls_scores (Tensor): Outputs from the classification head, \ + shape [nb_dec, bs, num_query, cls_out_channels]. Note \ + cls_out_channels should includes background. + all_bbox_preds (Tensor): Sigmoid outputs from the regression \ + head with normalized coordinate format (cx, cy, w, l, cz, h, rot_sine, rot_cosine, vx, vy). \ + Shape [nb_dec, bs, num_query, 9]. + Returns: + list[dict]: Decoded boxes. + """ + all_cls_scores = preds_dicts['all_cls_scores'][-1] + all_bbox_preds = preds_dicts['all_bbox_preds'][-1] + + batch_size = all_cls_scores.size()[0] + predictions_list = [] + for i in range(batch_size): + predictions_list.append(self.decode_single(all_cls_scores[i], all_bbox_preds[i])) + return predictions_list + diff --git a/projects/mmdet3d_plugin/core/bbox/match_costs/__init__.py b/projects/mmdet3d_plugin/core/bbox/match_costs/__init__.py new file mode 100755 index 0000000..aac1a82 --- /dev/null +++ b/projects/mmdet3d_plugin/core/bbox/match_costs/__init__.py @@ -0,0 +1,4 @@ +from mmdet.core.bbox.match_costs import build_match_cost +from .match_cost import BBox3DL1Cost + +__all__ = ['build_match_cost', 'BBox3DL1Cost'] \ No newline at end of file diff --git a/projects/mmdet3d_plugin/core/bbox/match_costs/__pycache__/__init__.cpython-38.pyc b/projects/mmdet3d_plugin/core/bbox/match_costs/__pycache__/__init__.cpython-38.pyc new file mode 100644 index 0000000000000000000000000000000000000000..ac216f93dbb559585ea3edaf48357ca15cce6837 GIT binary patch literal 332 zcmYk1zfQw25XS8!C8$azb|xg2EU{2mgi!c1Ar=Hfgmh|hRvNJD$WBDz9oTsQ7G5bU zQ(u9Ja~Q%&{_Hz{=im8$v6wT8&!dm(o%U~^{EvW=b6W101Q~M0G%q-37+|OZ9Tp*- zBb?Pi5#in)OXD3mS;~ilvTqcEUUk(PD&x8x|GP-?+-#SZHzyZVw4PuilG}7v9BPfS z%PM1KR+eU)P2FyE4)dupb`3GWN-2OZW@G=9m!C(mHd>0hH*d0RHsZzDXPN<}$gdu* zjn&eM)|w|-bxw@TB|@wEn!Fw^JX}mDCjgpF(*b1d>#%>S4faZ&`42fid%~087h2|8 A3IG5A literal 0 HcmV?d00001 diff --git a/projects/mmdet3d_plugin/core/bbox/match_costs/__pycache__/match_cost.cpython-38.pyc b/projects/mmdet3d_plugin/core/bbox/match_costs/__pycache__/match_cost.cpython-38.pyc new file mode 100644 index 0000000000000000000000000000000000000000..fc4d565a482e6b0f1d40723988be4aa3cc4272ef GIT binary patch literal 1334 zcmZuwzi-qq6tkp<10d0XY@JnrBxT;t=+r6YD@!>f1S{+ln zGO;j%#KOOnl>v2QX5zi%dJPmywx8|i=kI;~-mAH}CV}?t=4Y|(67mBV)mDea1L)}j z43bD1kuJ_oL}RDxP@{^U?j_j@%L1cdlWQuK$S=GNJV! zl7VN$$OlGAHovWsR2$&-B`iZ>VGj;f$__#sumlqJqwolJh1N!fiEmXpiHv`SZC(sp zOdPh@L5l?*OhG6D<{QQQC}Ls4jGy!s+gWI_#oadB3jBe(5M(FGV*V~u2IAb=9Sfw4 z&-#`lW`K1Lc*E!{k<6M5fc_Wrg(oUGu=(L)iycBAF2TIyjbX6@Mjv!n#jvStW|FE@ z0hrZB1nrW*m6B8ZarWMiGF9?d(JE$g3f}@6%;~^$^LlYVuL~Kbw$PwgGYxRaXD0uX z&rC8O@8S!EQp;f){XtU#i01q 7: + vx = bboxes[..., 7:8] + vy = bboxes[..., 8:9] + normalized_bboxes = torch.cat( + (cx, cy, w, l, cz, h, rot.sin(), rot.cos(), vx, vy), dim=-1 + ) + else: + normalized_bboxes = torch.cat( + (cx, cy, w, l, cz, h, rot.sin(), rot.cos()), dim=-1 + ) + return normalized_bboxes + +def denormalize_bbox(normalized_bboxes, pc_range): + # rotation + rot_sine = normalized_bboxes[..., 6:7] + + rot_cosine = normalized_bboxes[..., 7:8] + rot = torch.atan2(rot_sine, rot_cosine) + + # center in the bev + cx = normalized_bboxes[..., 0:1] + cy = normalized_bboxes[..., 1:2] + cz = normalized_bboxes[..., 4:5] + + # size + w = normalized_bboxes[..., 2:3] + l = normalized_bboxes[..., 3:4] + h = normalized_bboxes[..., 5:6] + + w = w.exp() + l = l.exp() + h = h.exp() + if normalized_bboxes.size(-1) > 8: + # velocity + vx = normalized_bboxes[:, 8:9] + vy = normalized_bboxes[:, 9:10] + denormalized_bboxes = torch.cat([cx, cy, cz, w, l, h, rot, vx, vy], dim=-1) + else: + denormalized_bboxes = torch.cat([cx, cy, cz, w, l, h, rot], dim=-1) + return denormalized_bboxes \ No newline at end of file diff --git a/projects/mmdet3d_plugin/core/evaluation/__init__.py b/projects/mmdet3d_plugin/core/evaluation/__init__.py new file mode 100644 index 0000000..d92421c --- /dev/null +++ b/projects/mmdet3d_plugin/core/evaluation/__init__.py @@ -0,0 +1 @@ +from .eval_hooks import CustomDistEvalHook \ No newline at end of file diff --git a/projects/mmdet3d_plugin/core/evaluation/eval_hooks.py b/projects/mmdet3d_plugin/core/evaluation/eval_hooks.py new file mode 100644 index 0000000..14a1b13 --- /dev/null +++ b/projects/mmdet3d_plugin/core/evaluation/eval_hooks.py @@ -0,0 +1,110 @@ + +# Note: Considering that MMCV's EvalHook updated its interface in V1.3.16, +# in order to avoid strong version dependency, we did not directly +# inherit EvalHook but BaseDistEvalHook. + +import bisect +import os.path as osp + +import mmcv +import torch.distributed as dist +from mmcv.runner import DistEvalHook as BaseDistEvalHook +from mmcv.runner import EvalHook as BaseEvalHook +from torch.nn.modules.batchnorm import _BatchNorm +from mmdet.core.evaluation.eval_hooks import DistEvalHook + + +def _calc_dynamic_intervals(start_interval, dynamic_interval_list): + assert mmcv.is_list_of(dynamic_interval_list, tuple) + + dynamic_milestones = [0] + dynamic_milestones.extend( + [dynamic_interval[0] for dynamic_interval in dynamic_interval_list]) + dynamic_intervals = [start_interval] + dynamic_intervals.extend( + [dynamic_interval[1] for dynamic_interval in dynamic_interval_list]) + return dynamic_milestones, dynamic_intervals + + +class CustomDistEvalHook(BaseDistEvalHook): + + def __init__(self, *args, dynamic_intervals=None, **kwargs): + super(CustomDistEvalHook, self).__init__(*args, **kwargs) + self.use_dynamic_intervals = dynamic_intervals is not None + if self.use_dynamic_intervals: + self.dynamic_milestones, self.dynamic_intervals = \ + _calc_dynamic_intervals(self.interval, dynamic_intervals) + + def _decide_interval(self, runner): + if self.use_dynamic_intervals: + progress = runner.epoch if self.by_epoch else runner.iter + step = bisect.bisect(self.dynamic_milestones, (progress + 1)) + # Dynamically modify the evaluation interval + self.interval = self.dynamic_intervals[step - 1] + + def before_train_epoch(self, runner): + """Evaluate the model only at the start of training by epoch.""" + self._decide_interval(runner) + super().before_train_epoch(runner) + + def before_train_iter(self, runner): + self._decide_interval(runner) + super().before_train_iter(runner) + + def _do_evaluate(self, runner): + """perform evaluation and save ckpt.""" + # Synchronization of BatchNorm's buffer (running_mean + # and running_var) is not supported in the DDP of pytorch, + # which may cause the inconsistent performance of models in + # different ranks, so we broadcast BatchNorm's buffers + # of rank 0 to other ranks to avoid this. + if self.broadcast_bn_buffer: + model = runner.model + for name, module in model.named_modules(): + if isinstance(module, + _BatchNorm) and module.track_running_stats: + dist.broadcast(module.running_var, 0) + dist.broadcast(module.running_mean, 0) + + if not self._should_evaluate(runner): + return + + tmpdir = self.tmpdir + if tmpdir is None: + tmpdir = osp.join(runner.work_dir, '.eval_hook') + + from projects.mmdet3d_plugin.apis.test import multi_gpu_test # to solve circlur import + + results = multi_gpu_test( + runner.model, + self.dataloader, + tmpdir=tmpdir, + gpu_collect=self.gpu_collect) + if runner.rank == 0: + if results == []: + pass + else: + print('\n') + runner.log_buffer.output['eval_iter_num'] = len(self.dataloader) + + key_score = self.evaluate(runner, results) + + if self.save_best: + self._save_ckpt(runner, key_score) + +class EvalHook(BaseEvalHook): + + def _do_evaluate(self, runner): + """perform evaluation and save ckpt.""" + if not self._should_evaluate(runner): + return + + from projects.mmdet3d_plugin.apis.test import single_gpu_test + results = single_gpu_test(runner.model, self.dataloader, show=False) + if results == []: + pass + else: + runner.log_buffer.output['eval_iter_num'] = len(self.dataloader) + key_score = self.evaluate(runner, results) + if self.save_best: + self._save_ckpt(runner, key_score) \ No newline at end of file diff --git a/projects/mmdet3d_plugin/core/evaluation/kitti2waymo.py b/projects/mmdet3d_plugin/core/evaluation/kitti2waymo.py new file mode 100644 index 0000000..f816974 --- /dev/null +++ b/projects/mmdet3d_plugin/core/evaluation/kitti2waymo.py @@ -0,0 +1,251 @@ +# Copyright (c) OpenMMLab. All rights reserved. +r"""Adapted from `Waymo to KITTI converter + `_. +""" + +try: + from waymo_open_dataset import dataset_pb2 as open_dataset + import mmcv + import numpy as np + import tensorflow as tf + from glob import glob + from os.path import join + from waymo_open_dataset import label_pb2 + from waymo_open_dataset.protos import metrics_pb2 +except ImportError: + #pass + raise ImportError( + 'Please run "pip install waymo-open-dataset-tf-2-1-0==1.2.0" ' + 'to install the official devkit first.') + + + + +class KITTI2Waymo(object): + """KITTI predictions to Waymo converter. + This class serves as the converter to change predictions from KITTI to + Waymo format. + Args: + kitti_result_files (list[dict]): Predictions in KITTI format. + waymo_tfrecords_dir (str): Directory to load waymo raw data. + waymo_results_save_dir (str): Directory to save converted predictions + in waymo format (.bin files). + waymo_results_final_path (str): Path to save combined + predictions in waymo format (.bin file), like 'a/b/c.bin'. + prefix (str): Prefix of filename. In general, 0 for training, 1 for + validation and 2 for testing. + workers (str): Number of parallel processes. + """ + + def __init__(self, + kitti_result_files, + waymo_tfrecords_dir, + waymo_results_save_dir, + waymo_results_final_path, + prefix, + workers=64): + + self.kitti_result_files = kitti_result_files + self.waymo_tfrecords_dir = waymo_tfrecords_dir + self.waymo_results_save_dir = waymo_results_save_dir + self.waymo_results_final_path = waymo_results_final_path + self.prefix = prefix + self.workers = int(workers) + self.name2idx = {} + for idx, result in enumerate(kitti_result_files): + if len(result['sample_idx']) > 0: + self.name2idx[str(result['sample_idx'][0])] = idx + + # turn on eager execution for older tensorflow versions + if int(tf.__version__.split('.')[0]) < 2: + tf.enable_eager_execution() + + self.k2w_cls_map = { + 'Car': label_pb2.Label.TYPE_VEHICLE, + 'Pedestrian': label_pb2.Label.TYPE_PEDESTRIAN, + 'Sign': label_pb2.Label.TYPE_SIGN, + 'Cyclist': label_pb2.Label.TYPE_CYCLIST, + } + + self.T_ref_to_front_cam = np.array([[0.0, 0.0, 1.0, 0.0], + [-1.0, 0.0, 0.0, 0.0], + [0.0, -1.0, 0.0, 0.0], + [0.0, 0.0, 0.0, 1.0]]) + + self.get_file_names() + self.create_folder() + + def get_file_names(self): + """Get file names of waymo raw data.""" + self.waymo_tfrecord_pathnames = sorted( + glob(join(self.waymo_tfrecords_dir, '*.tfrecord'))) + print(len(self.waymo_tfrecord_pathnames), 'tfrecords found.') + + def create_folder(self): + """Create folder for data conversion.""" + mmcv.mkdir_or_exist(self.waymo_results_save_dir) + + def parse_objects(self, kitti_result, T_k2w, context_name, + frame_timestamp_micros): + """Parse one prediction with several instances in kitti format and + convert them to `Object` proto. + Args: + kitti_result (dict): Predictions in kitti format. + - name (np.ndarray): Class labels of predictions. + - dimensions (np.ndarray): Height, width, length of boxes. + - location (np.ndarray): Bottom center of boxes (x, y, z). + - rotation_y (np.ndarray): Orientation of boxes. + - score (np.ndarray): Scores of predictions. + T_k2w (np.ndarray): Transformation matrix from kitti to waymo. + context_name (str): Context name of the frame. + frame_timestamp_micros (int): Frame timestamp. + Returns: + :obj:`Object`: Predictions in waymo dataset Object proto. + """ + + def parse_one_object(instance_idx): + """Parse one instance in kitti format and convert them to `Object` + proto. + Args: + instance_idx (int): Index of the instance to be converted. + Returns: + :obj:`Object`: Predicted instance in waymo dataset \ + Object proto. + """ + cls = kitti_result['name'][instance_idx] + length = round(kitti_result['dimensions'][instance_idx, 0], 4) + height = round(kitti_result['dimensions'][instance_idx, 1], 4) + width = round(kitti_result['dimensions'][instance_idx, 2], 4) + x = round(kitti_result['location'][instance_idx, 0], 4) + y = round(kitti_result['location'][instance_idx, 1], 4) + z = round(kitti_result['location'][instance_idx, 2], 4) + rotation_y = round(kitti_result['rotation_y'][instance_idx], 4) + score = round(kitti_result['score'][instance_idx], 4) + + # y: downwards; move box origin from bottom center (kitti) to + # true center (waymo) + y -= height / 2 + # frame transformation: kitti -> waymo + x, y, z = self.transform(T_k2w, x, y, z) + + # different conventions + heading = -(rotation_y + np.pi / 2) + while heading < -np.pi: + heading += 2 * np.pi + while heading > np.pi: + heading -= 2 * np.pi + + box = label_pb2.Label.Box() + box.center_x = x + box.center_y = y + box.center_z = z + box.length = length + box.width = width + box.height = height + box.heading = heading + + o = metrics_pb2.Object() + o.object.box.CopyFrom(box) + o.object.type = self.k2w_cls_map[cls] + o.score = score + + o.context_name = context_name + o.frame_timestamp_micros = frame_timestamp_micros + + return o + + objects = metrics_pb2.Objects() + + for instance_idx in range(len(kitti_result['name'])): + o = parse_one_object(instance_idx) + objects.objects.append(o) + + return objects + + def convert_one(self, file_idx): + """Convert action for single file. + Args: + file_idx (int): Index of the file to be converted. + """ + file_pathname = self.waymo_tfrecord_pathnames[file_idx] + file_data = tf.data.TFRecordDataset(file_pathname, compression_type='') + + for frame_num, frame_data in enumerate(file_data): + frame = open_dataset.Frame() + frame.ParseFromString(bytearray(frame_data.numpy())) + filename = f'{self.prefix}{file_idx:03d}{frame_num:03d}' + + for camera in frame.context.camera_calibrations: + # FRONT = 1, see dataset.proto for details + if camera.name == 1: + T_front_cam_to_vehicle = np.array( + camera.extrinsic.transform).reshape(4, 4) + + T_k2w = T_front_cam_to_vehicle @ self.T_ref_to_front_cam + + context_name = frame.context.name + frame_timestamp_micros = frame.timestamp_micros + + if filename in self.name2idx: + kitti_result = \ + self.kitti_result_files[self.name2idx[filename]] + objects = self.parse_objects(kitti_result, T_k2w, context_name, + frame_timestamp_micros) + else: + print(filename, 'not found.(bevformer)') + objects = metrics_pb2.Objects() + + with open( + join(self.waymo_results_save_dir, f'{filename}.bin'), + 'wb') as f: + f.write(objects.SerializeToString()) + + def convert(self): + """Convert action.""" + print('Start converting ...') + mmcv.track_parallel_progress(self.convert_one, range(len(self)), + self.workers) + print('\nFinished ...') + + # combine all files into one .bin + pathnames = sorted(glob(join(self.waymo_results_save_dir, '*.bin'))) + combined = self.combine(pathnames) + + with open(self.waymo_results_final_path, 'wb') as f: + f.write(combined.SerializeToString()) + + def __len__(self): + """Length of the filename list.""" + return len(self.waymo_tfrecord_pathnames) + + def transform(self, T, x, y, z): + """Transform the coordinates with matrix T. + Args: + T (np.ndarray): Transformation matrix. + x(float): Coordinate in x axis. + y(float): Coordinate in y axis. + z(float): Coordinate in z axis. + Returns: + list: Coordinates after transformation. + """ + pt_bef = np.array([x, y, z, 1.0]).reshape(4, 1) + pt_aft = np.matmul(T, pt_bef) + return pt_aft[:3].flatten().tolist() + + def combine(self, pathnames): + """Combine predictions in waymo format for each sample together. + Args: + pathnames (str): Paths to save predictions. + Returns: + :obj:`Objects`: Combined predictions in Objects proto. + """ + combined = metrics_pb2.Objects() + + for pathname in pathnames: + objects = metrics_pb2.Objects() + with open(pathname, 'rb') as f: + objects.ParseFromString(f.read()) + for o in objects.objects: + combined.objects.append(o) + + return combined \ No newline at end of file diff --git a/projects/mmdet3d_plugin/datasets/__init__.py b/projects/mmdet3d_plugin/datasets/__init__.py new file mode 100644 index 0000000..6c59529 --- /dev/null +++ b/projects/mmdet3d_plugin/datasets/__init__.py @@ -0,0 +1,6 @@ +from .nuscenes_dataset import CustomNuScenesDataset +from .builder import custom_build_dataset + +__all__ = [ + 'CustomNuScenesDataset' +] diff --git a/projects/mmdet3d_plugin/datasets/builder.py b/projects/mmdet3d_plugin/datasets/builder.py new file mode 100644 index 0000000..0ad7a92 --- /dev/null +++ b/projects/mmdet3d_plugin/datasets/builder.py @@ -0,0 +1,146 @@ + +# Copyright (c) OpenMMLab. All rights reserved. +import copy +import platform +import random +from functools import partial + +import numpy as np +from mmcv.parallel import collate +from mmcv.runner import get_dist_info +from mmcv.utils import Registry, build_from_cfg +from torch.utils.data import DataLoader + +from mmdet.datasets.samplers import GroupSampler +from projects.mmdet3d_plugin.datasets.samplers.group_sampler import DistributedGroupSampler +from projects.mmdet3d_plugin.datasets.samplers.distributed_sampler import DistributedSampler +from projects.mmdet3d_plugin.datasets.samplers.sampler import build_sampler + +def build_dataloader(dataset, + samples_per_gpu, + workers_per_gpu, + num_gpus=1, + dist=True, + shuffle=True, + seed=None, + shuffler_sampler=None, + nonshuffler_sampler=None, + **kwargs): + """Build PyTorch DataLoader. + In distributed training, each GPU/process has a dataloader. + In non-distributed training, there is only one dataloader for all GPUs. + Args: + dataset (Dataset): A PyTorch dataset. + samples_per_gpu (int): Number of training samples on each GPU, i.e., + batch size of each GPU. + workers_per_gpu (int): How many subprocesses to use for data loading + for each GPU. + num_gpus (int): Number of GPUs. Only used in non-distributed training. + dist (bool): Distributed training/test or not. Default: True. + shuffle (bool): Whether to shuffle the data at every epoch. + Default: True. + kwargs: any keyword argument to be used to initialize DataLoader + Returns: + DataLoader: A PyTorch dataloader. + """ + rank, world_size = get_dist_info() + if dist: + # DistributedGroupSampler will definitely shuffle the data to satisfy + # that images on each GPU are in the same group + if shuffle: + sampler = build_sampler(shuffler_sampler if shuffler_sampler is not None else dict(type='DistributedGroupSampler'), + dict( + dataset=dataset, + samples_per_gpu=samples_per_gpu, + num_replicas=world_size, + rank=rank, + seed=seed) + ) + + else: + sampler = build_sampler(nonshuffler_sampler if nonshuffler_sampler is not None else dict(type='DistributedSampler'), + dict( + dataset=dataset, + num_replicas=world_size, + rank=rank, + shuffle=shuffle, + seed=seed) + ) + + batch_size = samples_per_gpu + num_workers = workers_per_gpu + else: + # assert False, 'not support in bevformer' + print('WARNING!!!!, Only can be used for obtain inference speed!!!!') + sampler = GroupSampler(dataset, samples_per_gpu) if shuffle else None + batch_size = num_gpus * samples_per_gpu + num_workers = num_gpus * workers_per_gpu + + init_fn = partial( + worker_init_fn, num_workers=num_workers, rank=rank, + seed=seed) if seed is not None else None + + data_loader = DataLoader( + dataset, + batch_size=batch_size, + sampler=sampler, + num_workers=num_workers, + collate_fn=partial(collate, samples_per_gpu=samples_per_gpu), + pin_memory=False, + worker_init_fn=init_fn, + **kwargs) + + return data_loader + + +def worker_init_fn(worker_id, num_workers, rank, seed): + # The seed of each worker equals to + # num_worker * rank + worker_id + user_seed + worker_seed = num_workers * rank + worker_id + seed + np.random.seed(worker_seed) + random.seed(worker_seed) + + +# Copyright (c) OpenMMLab. All rights reserved. +import platform +from mmcv.utils import Registry, build_from_cfg + +from mmdet.datasets import DATASETS +from mmdet.datasets.builder import _concat_dataset + +if platform.system() != 'Windows': + # https://github.com/pytorch/pytorch/issues/973 + import resource + rlimit = resource.getrlimit(resource.RLIMIT_NOFILE) + base_soft_limit = rlimit[0] + hard_limit = rlimit[1] + soft_limit = min(max(4096, base_soft_limit), hard_limit) + resource.setrlimit(resource.RLIMIT_NOFILE, (soft_limit, hard_limit)) + +OBJECTSAMPLERS = Registry('Object sampler') + + +def custom_build_dataset(cfg, default_args=None): + from mmdet3d.datasets.dataset_wrappers import CBGSDataset + from mmdet.datasets.dataset_wrappers import (ClassBalancedDataset, + ConcatDataset, RepeatDataset) + if isinstance(cfg, (list, tuple)): + dataset = ConcatDataset([custom_build_dataset(c, default_args) for c in cfg]) + elif cfg['type'] == 'ConcatDataset': + dataset = ConcatDataset( + [custom_build_dataset(c, default_args) for c in cfg['datasets']], + cfg.get('separate_eval', True)) + elif cfg['type'] == 'RepeatDataset': + dataset = RepeatDataset( + custom_build_dataset(cfg['dataset'], default_args), cfg['times']) + elif cfg['type'] == 'ClassBalancedDataset': + dataset = ClassBalancedDataset( + custom_build_dataset(cfg['dataset'], default_args), cfg['oversample_thr']) + elif cfg['type'] == 'CBGSDataset': + dataset = CBGSDataset(custom_build_dataset(cfg['dataset'], default_args)) + elif isinstance(cfg.get('ann_file'), (list, tuple)): + dataset = _concat_dataset(cfg, default_args) + else: + dataset = build_from_cfg(cfg, DATASETS, default_args) + + return dataset diff --git a/projects/mmdet3d_plugin/datasets/mtl_nuscenes_dataset_ego.py b/projects/mmdet3d_plugin/datasets/mtl_nuscenes_dataset_ego.py new file mode 100644 index 0000000..0ce692c --- /dev/null +++ b/projects/mmdet3d_plugin/datasets/mtl_nuscenes_dataset_ego.py @@ -0,0 +1,584 @@ +# Copyright (c) OpenMMLab. All rights reserved. +import mmcv +import numpy as np +import torch +import pyquaternion +import tempfile +from nuscenes.utils.data_classes import Box as NuScenesBox +from os import path as osp + +from mmdet.datasets import DATASETS +from mmdet3d.core import show_result +from mmdet3d.core.bbox import Box3DMode, Coord3DMode, LiDARInstance3DBoxes +from mmdet3d.datasets.custom_3d import Custom3DDataset +from mmdet3d.datasets.nuscenes_dataset import NuScenesDataset, output_to_nusc_box, lidar_nusc_box_to_global +from mmdet3d.datasets.pipelines import Compose +from .utils import VectorizedLocalMap, preprocess_map +from nuscenes.nuscenes import NuScenes +from .utils.geometry import invert_matrix_egopose_numpy, mat2pose_vec + +import pdb + + +@DATASETS.register_module() +class MTLEgoNuScenesDataset(NuScenesDataset): + r"""NuScenes Dataset. + + This class serves as the API for experiments on the NuScenes Dataset. + + Please refer to `NuScenes Dataset `_ + for data downloading. + + Args: + ann_file (str): Path of annotation file. + pipeline (list[dict], optional): Pipeline used for data processing. + Defaults to None. + data_root (str): Path of dataset root. + classes (tuple[str], optional): Classes used in the dataset. + Defaults to None. + load_interval (int, optional): Interval of loading the dataset. It is + used to uniformly sample the dataset. Defaults to 1. + with_velocity (bool, optional): Whether include velocity prediction + into the experiments. Defaults to True. + modality (dict, optional): Modality to specify the sensor data used + as input. Defaults to None. + box_type_3d (str, optional): Type of 3D box of this dataset. + Based on the `box_type_3d`, the dataset will encapsulate the box + to its original format then converted them to `box_type_3d`. + Defaults to 'LiDAR' in this dataset. Available options includes. + - 'LiDAR': Box in LiDAR coordinates. + - 'Depth': Box in depth coordinates, usually for indoor dataset. + - 'Camera': Box in camera coordinates. + filter_empty_gt (bool, optional): Whether to filter empty GT. + Defaults to True. + test_mode (bool, optional): Whether the dataset is in test mode. + Defaults to False. + eval_version (bool, optional): Configuration version of evaluation. + Defaults to 'detection_cvpr_2019'. + use_valid_flag (bool): Whether to use `use_valid_flag` key in the info + file as mask to filter gt_boxes and gt_names. Defaults to False. + """ + NameMapping = { + 'movable_object.barrier': 'barrier', + 'vehicle.bicycle': 'bicycle', + 'vehicle.bus.bendy': 'bus', + 'vehicle.bus.rigid': 'bus', + 'vehicle.car': 'car', + 'vehicle.construction': 'construction_vehicle', + 'vehicle.motorcycle': 'motorcycle', + 'human.pedestrian.adult': 'pedestrian', + 'human.pedestrian.child': 'pedestrian', + 'human.pedestrian.construction_worker': 'pedestrian', + 'human.pedestrian.police_officer': 'pedestrian', + 'movable_object.trafficcone': 'traffic_cone', + 'vehicle.trailer': 'trailer', + 'vehicle.truck': 'truck' + } + DefaultAttribute = { + 'car': 'vehicle.parked', + 'pedestrian': 'pedestrian.moving', + 'trailer': 'vehicle.parked', + 'truck': 'vehicle.parked', + 'bus': 'vehicle.moving', + 'motorcycle': 'cycle.without_rider', + 'construction_vehicle': 'vehicle.parked', + 'bicycle': 'cycle.without_rider', + 'barrier': '', + 'traffic_cone': '', + } + AttrMapping = { + 'cycle.with_rider': 0, + 'cycle.without_rider': 1, + 'pedestrian.moving': 2, + 'pedestrian.standing': 3, + 'pedestrian.sitting_lying_down': 4, + 'vehicle.moving': 5, + 'vehicle.parked': 6, + 'vehicle.stopped': 7, + } + AttrMapping_rev = [ + 'cycle.with_rider', + 'cycle.without_rider', + 'pedestrian.moving', + 'pedestrian.standing', + 'pedestrian.sitting_lying_down', + 'vehicle.moving', + 'vehicle.parked', + 'vehicle.stopped', + ] + # https://github.com/nutonomy/nuscenes-devkit/blob/57889ff20678577025326cfc24e57424a829be0a/python-sdk/nuscenes/eval/detection/evaluate.py#L222 # noqa + ErrNameMapping = { + 'trans_err': 'mATE', + 'scale_err': 'mASE', + 'orient_err': 'mAOE', + 'vel_err': 'mAVE', + 'attr_err': 'mAAE' + } + CLASSES = ('car', 'truck', 'trailer', 'bus', 'construction_vehicle', + 'bicycle', 'motorcycle', 'pedestrian', 'traffic_cone', + 'barrier') + + def __init__(self, + ann_file, + pipeline=None, + data_root=None, + classes=None, + load_interval=1, + with_velocity=True, + modality=None, + box_type_3d='LiDAR', + coordinate_system='ego', + filter_empty_gt=True, + test_mode=False, + grid_conf=None, + map_grid_conf=None, + receptive_field=1, + future_frames=0, + eval_version='detection_cvpr_2019', + filter_invalid_sample=False, + use_valid_flag=True): + super().__init__( + data_root=data_root, + ann_file=ann_file, + pipeline=pipeline, + classes=classes, + modality=modality, + box_type_3d=box_type_3d, + filter_empty_gt=filter_empty_gt, + test_mode=test_mode, + use_valid_flag=use_valid_flag, + load_interval=load_interval, + with_velocity=with_velocity, + eval_version=eval_version, + ) + + if self.modality is None: + self.modality = dict( + use_camera=False, + use_lidar=True, + use_radar=False, + use_map=False, + use_external=False, + ) + + # whether test-set + self.test_submission = 'test' in self.ann_file + + # temporal settings + self.receptive_field = receptive_field + self.n_future = future_frames + self.sequence_length = receptive_field + future_frames + self.filter_invalid_sample = filter_invalid_sample + self.coordinate_system = coordinate_system + + # default, we use the LiDAR coordinate system as the BEV system + assert self.coordinate_system in ['lidar', 'ego'] + + # for vector maps + self.map_dataroot = self.data_root + + map_xbound, map_ybound = grid_conf['xbound'], grid_conf['ybound'] + patch_h = map_ybound[1] - map_ybound[0] + patch_w = map_xbound[1] - map_xbound[0] + canvas_h = int(patch_h / map_ybound[2]) + canvas_w = int(patch_w / map_xbound[2]) + self.map_patch_size = (patch_h, patch_w) + self.map_canvas_size = (canvas_h, canvas_w) + + # hdmap settings + self.map_max_channel = 3 + self.map_thickness = 5 + self.map_angle_class = 36 + self.vector_map = VectorizedLocalMap( + dataroot=self.map_dataroot, + patch_size=self.map_patch_size, + canvas_size=self.map_canvas_size, + ) + + # process infos so that they are sorted w.r.t. scenes & time_stamp + self.data_infos.sort(key=lambda x: (x['scene_token'], x['timestamp'])) + self._set_group_flag() + + def get_cat_ids(self, idx): + """Get category distribution of single scene. + + Args: + idx (int): Index of the data_info. + + Returns: + dict[list]: for each category, if the current scene + contains such boxes, store a list containing idx, + otherwise, store empty list. + """ + info = self.data_infos[idx] + if self.use_valid_flag: + mask = info['valid_flag'] + gt_names = set(info['gt_names'][mask]) + else: + gt_names = set(info['gt_names']) + + cat_ids = [] + for name in gt_names: + if name in self.CLASSES: + cat_ids.append(self.cat2id[name]) + return cat_ids + + def load_annotations(self, ann_file): + """Load annotations from ann_file. + + Args: + ann_file (str): Path of the annotation file. + + Returns: + list[dict]: List of annotations sorted by timestamps. + """ + data = mmcv.load(ann_file) + data_infos = list(sorted(data['infos'], key=lambda e: e['timestamp'])) + data_infos = data_infos[::self.load_interval] + self.metadata = data['metadata'] + self.version = self.metadata['version'] + return data_infos + + def get_temporal_indices(self, index): + current_scene_token = self.data_infos[index]['scene_token'] + + # generate the past + previous_indices = [] + for t in range(- self.receptive_field + 1, 0): + index_t = index + t + if index_t >= 0 and self.data_infos[index_t]['scene_token'] == current_scene_token: + previous_indices.append(index_t) + else: + previous_indices.append(-1) # for invalid indices + + # generate the future + future_indices = [] + for t in range(1, self.n_future + 1): + index_t = index + t + if index_t < len(self.data_infos) and self.data_infos[index_t]['scene_token'] == current_scene_token: + future_indices.append(index_t) + else: + future_indices.append(-1) + + return previous_indices, future_indices + + @staticmethod + def get_egopose_from_info(info): + # ego2global transformation (lidar_ego) + e2g_trans_matrix = np.zeros((4, 4), dtype=np.float32) + e2g_rot = info['ego2global_rotation'] + e2g_trans = info['ego2global_translation'] + e2g_trans_matrix[:3, :3] = pyquaternion.Quaternion( + e2g_rot).rotation_matrix + e2g_trans_matrix[:3, 3] = np.array(e2g_trans) + e2g_trans_matrix[3, 3] = 1.0 + + return e2g_trans_matrix + + def get_egomotions(self, indices): + # get ego_motion for each frame + future_egomotions = [] + for index in indices: + cur_info = self.data_infos[index] + ego_motion = np.eye(4, dtype=np.float32) + next_frame = index + 1 + + # 如何处理 invalid frame + if index != -1 and next_frame < len(self.data_infos) and self.data_infos[next_frame]['scene_token'] == cur_info['scene_token']: + next_info = self.data_infos[next_frame] + # get ego2global transformation matrices + cur_egopose = self.get_egopose_from_info(cur_info) + next_egopose = self.get_egopose_from_info(next_info) + + # trans from cur to next + ego_motion = invert_matrix_egopose_numpy( + next_egopose).dot(cur_egopose) + ego_motion[3, :3] = 0.0 + ego_motion[3, 3] = 1.0 + + # transformation between adjacent frames + ego_motion = torch.Tensor(ego_motion).float() + ego_motion = mat2pose_vec(ego_motion) + future_egomotions.append(ego_motion) + + return torch.stack(future_egomotions, dim=0) + + def prepare_train_data(self, index): + """Training data preparation. + + Args: + index (int): Index for accessing the target data. + + Returns: + dict: Training data dict of the corresponding index. + """ + input_dict = self.get_data_info(index) + if input_dict is None: + return None + + # when the labels for future frames are not complete, skip the sample + if self.filter_invalid_sample and input_dict['has_invalid_frame'] is True: + return None + + self.pre_pipeline(input_dict) + example = self.pipeline(input_dict) + + if self.filter_empty_gt and (example is None or + ~(example['gt_labels_3d']._data != -1).any()): + return None + + return example + + def get_data_info(self, index): + """Get data info according to the given index. + + Args: + index (int): Index of the sample data to get. + + Returns: + dict: Data information that will be passed to the data \ + preprocessing pipelines. It includes the following keys: + + - sample_idx (str): Sample index. + - pts_filename (str): Filename of point clouds. + - sweeps (list[dict]): Infos of sweeps. + - timestamp (float): Sample timestamp. + - img_filename (str, optional): Image filename. + - lidar2img (list[np.ndarray], optional): Transformations \ + from lidar to different cameras. + - ann_info (dict): Annotation info. + """ + info = self.data_infos[index] + # standard protocal modified from SECOND.Pytorch + input_dict = dict( + sample_idx=info['token'], + pts_filename=info['lidar_path'], + sweeps=info['sweeps'], + timestamp=info['timestamp'] / 1e6, + data_root=self.data_root, + ) + + # info_keys = dict_keys(['lidar_path', 'scene_token', 'location', 'token', 'sweeps', 'cams', 'lidar2ego_translation', 'lidar2ego_rotation', 'ego2global_translation', 'ego2global_rotation', 'timestamp', 'gt_boxes', 'gt_names', 'gt_velocity', 'num_lidar_pts', 'num_radar_pts', 'valid_flag', 'instance_tokens']) + + # get temporal indices + prev_indices, future_indices = self.get_temporal_indices(index) + + # ego motions are needed for all frames + all_frames = prev_indices + [index] + future_indices + # [num_seq, 6 DoF] + future_egomotions = self.get_egomotions(all_frames) + input_dict['future_egomotions'] = future_egomotions + + # whether invalid frame is present + has_invalid_frame = -1 in all_frames + input_dict['has_invalid_frame'] = has_invalid_frame + input_dict['img_is_valid'] = np.array(all_frames) >= 0 + + # for past frames, we need images, camera paramters, depth(optional) + img_infos = [] + for prev_index in prev_indices: + if prev_index >= 0: + img_infos.append(self.data_infos[prev_index]['cams']) + else: + # get the information of current frame for invalid frames + img_infos.append(info['cams']) + + # current frame + img_infos.append(info['cams']) + input_dict['img_info'] = img_infos + + input_dict['lidar2ego_rots'] = torch.tensor(pyquaternion.Quaternion( + info['lidar2ego_rotation']).rotation_matrix) + input_dict['lidar2ego_trans'] = torch.tensor( + info['lidar2ego_translation']) + + # for future frames, we need detection labels + if not self.test_submission: + # generate detection labels for current + future frames + label_frames = [index] + future_indices + detection_ann_infos = [] + for label_frame in label_frames: + if label_frame >= 0: + detection_ann_infos.append( + self.get_detection_ann_info(label_frame)) + else: + detection_ann_infos.append(None) + + input_dict['ann_info'] = detection_ann_infos + # generate map labels only for the current frame + input_dict['vectors'] = self.get_map_ann_info(info) + + return input_dict + + def get_detection_ann_info(self, index): + """Get annotation info according to the given index. + + Args: + index (int): Index of the annotation data to get. + + Returns: + dict: Annotation information consists of the following keys: + + - gt_bboxes_3d (:obj:`LiDARInstance3DBoxes`): \ + 3D ground truth bboxes + - gt_labels_3d (np.ndarray): Labels of ground truths. + - gt_names (list[str]): Class names of ground truths. + """ + info = self.data_infos[index] + # still need the gt_tokens + gt_bboxes_3d = info["gt_boxes"] + gt_names_3d = info["gt_names"] + gt_instance_tokens = info["instance_tokens"] + gt_valid_flag = info['valid_flag'] + gt_vis_tokens = info['visibility_tokens'] + + if self.use_valid_flag: + gt_valid_flag = info['valid_flag'] + else: + gt_valid_flag = info['num_lidar_pts'] > 0 + + # cls_name ==> cls_id + gt_labels_3d = [] + for cat in gt_names_3d: + if cat in self.CLASSES: + gt_labels_3d.append(self.CLASSES.index(cat)) + else: + gt_labels_3d.append(-1) + gt_labels_3d = np.array(gt_labels_3d) + + if self.with_velocity: + gt_velocity = info['gt_velocity'] + nan_mask = np.isnan(gt_velocity[:, 0]) + gt_velocity[nan_mask] = [0.0, 0.0] + gt_bboxes_3d = np.concatenate([gt_bboxes_3d, gt_velocity], axis=-1) + + # the nuscenes box center is [0.5, 0.5, 0.5], we change it to be + # the same as KITTI (0.5, 0.5, 0) + gt_bboxes_3d = LiDARInstance3DBoxes( + gt_bboxes_3d, + box_dim=gt_bboxes_3d.shape[-1], + origin=(0.5, 0.5, 0.5)).convert_to(self.box_mode_3d) + + # convert 3DBoxes from LiDAR frame to Ego frame + lidar2ego_translation = info['lidar2ego_translation'] + lidar2ego_rotation = info['lidar2ego_rotation'] + lidar2ego_rotation = pyquaternion.Quaternion( + lidar2ego_rotation).rotation_matrix + + gt_bboxes_3d.rotate(lidar2ego_rotation.T) + gt_bboxes_3d.translate(lidar2ego_translation) + + # # reverse + # gt_bboxes_3d.translate([-x for x in lidar2ego_translation]) + # gt_bboxes_3d.rotate(np.linalg.inv(lidar2ego_rotation.T)) + + anns_results = dict( + gt_bboxes_3d=gt_bboxes_3d, + gt_labels_3d=gt_labels_3d, + gt_names=gt_names_3d, + instance_tokens=gt_instance_tokens, + gt_valid_flag=gt_valid_flag, + gt_vis_tokens=gt_vis_tokens, + ) + + return anns_results + + def get_map_ann_info(self, info): + # get the annotations of HD maps + vectors = self.vector_map.gen_vectorized_samples( + info['location'], info['ego2global_translation'], info['ego2global_rotation']) + + # type0 = 'divider' + # type1 = 'pedestrain' + # type2 = 'boundary' + + for vector in vectors: + pts = vector['pts'] + vector['pts'] = np.concatenate( + (pts, np.zeros((pts.shape[0], 1))), axis=1) + + return vectors + + def evaluate(self, + results, + metric='bbox', + logger=None, + jsonfile_prefix=None, + result_names=['pts_bbox'], + show=False, + out_dir=None, + pipeline=None): + """Evaluation in nuScenes protocol. + + Args: + results (list[dict]): Testing results of the dataset. + metric (str | list[str]): Metrics to be evaluated. + logger (logging.Logger | str | None): Logger used for printing + related information during evaluation. Default: None. + jsonfile_prefix (str | None): The prefix of json files. It includes + the file path and the prefix of filename, e.g., "a/b/prefix". + If not specified, a temp file will be created. Default: None. + show (bool): Whether to visualize. + Default: False. + out_dir (str): Path to save the visualization results. + Default: None. + pipeline (list[dict], optional): raw data loading for showing. + Default: None. + + Returns: + dict[str, float]: Results of each evaluation metric. + """ + result_files, tmp_dir = self.format_results(results, jsonfile_prefix) + + if isinstance(result_files, dict): + results_dict = dict() + for name in result_names: + print('Evaluating bboxes of {}'.format(name)) + ret_dict = self._evaluate_single(result_files[name]) + results_dict.update(ret_dict) + elif isinstance(result_files, str): + results_dict = self._evaluate_single(result_files) + + if tmp_dir is not None: + tmp_dir.cleanup() + + if show: + self.show(results, out_dir, pipeline=pipeline) + + return results_dict + + def show_results(self, results, out_dir, targets=None): + # visualize the predictions & ground-truth + pass + + def show(self, results, out_dir, show=True, pipeline=None): + """Results visualization. + + Args: + results (list[dict]): List of bounding boxes results. + out_dir (str): Output directory of visualization result. + show (bool): Visualize the results online. + pipeline (list[dict], optional): raw data loading for showing. + Default: None. + """ + assert out_dir is not None, 'Expect out_dir, got none.' + pipeline = self._get_pipeline(pipeline) + for i, result in enumerate(results): + if 'pts_bbox' in result.keys(): + result = result['pts_bbox'] + data_info = self.data_infos[i] + pts_path = data_info['lidar_path'] + file_name = osp.split(pts_path)[-1].split('.')[0] + points = self._extract_data(i, pipeline, 'points').numpy() + # for now we convert points into depth mode + points = Coord3DMode.convert_point(points, Coord3DMode.LIDAR, + Coord3DMode.DEPTH) + inds = result['scores_3d'] > 0.1 + gt_bboxes = self.get_ann_info(i)['gt_bboxes_3d'].tensor.numpy() + show_gt_bboxes = Box3DMode.convert(gt_bboxes, Box3DMode.LIDAR, + Box3DMode.DEPTH) + pred_bboxes = result['boxes_3d'][inds].tensor.numpy() + show_pred_bboxes = Box3DMode.convert(pred_bboxes, Box3DMode.LIDAR, + Box3DMode.DEPTH) + show_result(points, show_gt_bboxes, show_pred_bboxes, out_dir, + file_name, show) diff --git a/projects/mmdet3d_plugin/datasets/nuscenes_dataset.py b/projects/mmdet3d_plugin/datasets/nuscenes_dataset.py new file mode 100644 index 0000000..4b8a9ad --- /dev/null +++ b/projects/mmdet3d_plugin/datasets/nuscenes_dataset.py @@ -0,0 +1,411 @@ +import copy +import tempfile + +import mmcv +from os import path as osp +from mmdet.datasets import DATASETS +import torch +import numpy as np + +from mmdet3d.datasets import NuScenesDataset +from nuscenes.eval.common.utils import quaternion_yaw, Quaternion +from .nuscnes_eval import NuScenesEval_custom +from .utils import VectorizedLocalMap +from mmcv.parallel import DataContainer as DC +import random +from nuscenes import NuScenes + +@DATASETS.register_module() +class CustomNuScenesDataset(NuScenesDataset): + r"""NuScenes Dataset. + + This datset only add camera intrinsics and extrinsics to the results. + """ + + def __init__(self, queue_length=4, bev_size=(200, 200), overlap_test=False, grid_conf=None, *args, **kwargs): + super().__init__(*args, **kwargs) + self.queue_length = queue_length + self.overlap_test = overlap_test + self.bev_size = bev_size + + # for vector maps + self.map_dataroot = self.data_root + + map_xbound, map_ybound = grid_conf['xbound'], grid_conf['ybound'] + patch_h = map_ybound[1] - map_ybound[0] + patch_w = map_xbound[1] - map_xbound[0] + canvas_h = int(patch_h / map_ybound[2]) + canvas_w = int(patch_w / map_xbound[2]) + self.map_patch_size = (patch_h, patch_w) + self.map_canvas_size = (canvas_h, canvas_w) + + # add seg label + self.nusc = NuScenes(version='v1.0-trainval', dataroot=self.data_root, verbose=False) + self.vector_map = VectorizedLocalMap( + dataroot=self.map_dataroot, + patch_size=self.map_patch_size, + canvas_size=self.map_canvas_size, + ) + + # sample_augmentation 和 img_transform 用于得到LSS算法所需参数 + def sample_augmentation(self, scale=0.8): + fH, fW = (int(900 * scale + 900 * scale % 32), int(1600 * scale)) + resize = (fW / 1600, fH / 900) + resize_dims = (fW, fH) + return resize, resize_dims + + @staticmethod + def img_transform(resize): + post_rot2 = torch.eye(2) + post_tran2 = torch.zeros(2) + + rot_resize = torch.Tensor([[resize[0], 0], + [0, resize[1]]]) + post_rot2 = rot_resize @ post_rot2 + post_tran2 = rot_resize @ post_tran2 + + post_tran = torch.zeros(3) + post_rot = torch.eye(3) + post_tran[:2] = post_tran2 + post_rot[:2, :2] = post_rot2 + return post_rot, post_tran + + def load_annotations(self, ann_file): + """Load annotations from ann_file. + + Args: + ann_file (str): Path of the annotation file. + + Returns: + list[dict]: List of annotations sorted by timestamps. + """ + data = mmcv.load(ann_file) + data_infos = list(sorted(data['infos'], key=lambda e: e['timestamp'])) + data_infos = data_infos[::self.load_interval]#[:10] + self.metadata = data['metadata'] + self.version = self.metadata['version'] + # whether test-set + self.test_submission = 'test' in ann_file + return data_infos + + def prepare_train_data(self, index): # 这里是否可以进行优化,改进作者提的采样方案,如果index前面的帧不在一个时间邻域内,那么就抛弃该帧,对在邻域内的进行过采样,补齐队列 + """ + Training data preparation. + Args: + index (int): Index for accessing the target data. + Returns: + dict: Training data dict of the corresponding index. + """ + + queue = [] # 设置时序依赖数据保存在队列里 + index_list = list(range(index-self.queue_length, index)) # 取出后三个 + random.shuffle(index_list) # 打乱 + index_list = sorted(index_list[1:]) #三选2,增加不确定性 + index_list.append(index) # 构成t-2, t-1, t的数据索引 + for i in index_list: + i = max(0, i) + input_dict = self.get_data_info(i) + if input_dict is None: + return None + self.pre_pipeline(input_dict) + example = self.pipeline(input_dict) + if self.filter_empty_gt and \ + (example is None or ~(example['gt_labels_3d']._data != -1).any()): + return None + queue.append(example) # 将以及处理好的数据送入队列,随后将送入网络 + return self.union2one(queue) + + def get_map_ann_info(self, info): + + # get the annotations of HD maps + vectors = self.vector_map.gen_vectorized_samples( + info['location'], info['ego2global_translation'], info['ego2global_rotation']) + + # type0 = 'divider' + # type1 = 'pedestrain' + # type2 = 'boundary' + + for vector in vectors: + pts = vector['pts'] + vector['pts'] = np.concatenate( + (pts, np.zeros((pts.shape[0], 1))), axis=1) + + return vectors + + def union2one(self, queue): + imgs_list = [each['img'].data for each in queue] + metas_map = {} + prev_scene_token = None + prev_pos = None + prev_angle = None + for i, each in enumerate(queue): + metas_map[i] = each['img_metas'].data + if metas_map[i]['scene_token'] != prev_scene_token: + metas_map[i]['prev_bev_exists'] = False + prev_scene_token = metas_map[i]['scene_token'] + prev_pos = copy.deepcopy(metas_map[i]['can_bus'][:3]) + prev_angle = copy.deepcopy(metas_map[i]['can_bus'][-1]) + metas_map[i]['can_bus'][:3] = 0 + metas_map[i]['can_bus'][-1] = 0 + else: + metas_map[i]['prev_bev_exists'] = True + tmp_pos = copy.deepcopy(metas_map[i]['can_bus'][:3]) + tmp_angle = copy.deepcopy(metas_map[i]['can_bus'][-1]) + metas_map[i]['can_bus'][:3] -= prev_pos + metas_map[i]['can_bus'][-1] -= prev_angle + prev_pos = copy.deepcopy(tmp_pos) + prev_angle = copy.deepcopy(tmp_angle) + queue[-1]['img'] = DC(torch.stack(imgs_list), cpu_only=False, stack=True) + queue[-1]['img_metas'] = DC(metas_map, cpu_only=True) + queue = queue[-1] + return queue # 数据格式化 + + def get_data_info(self, index): + """Get data info according to the given index. + + Args: + index (int): Index of the sample data to get. + + Returns: + dict: Data information that will be passed to the data \ + preprocessing pipelines. It includes the following keys: + + - sample_idx (str): Sample index. + - pts_filename (str): Filename of point clouds. + - sweeps (list[dict]): Infos of sweeps. + - timestamp (float): Sample timestamp. + - img_filename (str, optional): Image filename. + - lidar2img (list[np.ndarray], optional): Transformations \ + from lidar to different cameras. + - ann_info (dict): Annotation info. + """ + info = self.data_infos[index] + + # add scene loc + info['location'] = self.nusc.get('log', self.nusc.get('scene', info['scene_token'])['log_token'])['location'] + + + # 获取LSS分割标注 + anno = self.nusc.get('sample', info['token'])['anns'] + info['inst'] = [] + for tok in anno: + inst = self.nusc.get('sample_annotation', tok) + info['inst'].append(inst) + + info['ego_pose'] = self.nusc.get('ego_pose', + self.nusc.get('sample_data', + self.nusc.get('sample', info['token'])['data']['LIDAR_TOP'])['ego_pose_token']) + + + # standard protocal modified from SECOND.Pytorch + input_dict = dict( + sample_idx=info['token'], + pts_filename=info['lidar_path'], + sweeps=info['sweeps'], + location=info['location'], # BEVFusion 分割标注生成 + ego2global_translation=info['ego2global_translation'], + ego2global_rotation=info['ego2global_rotation'], + prev_idx=info['prev'], + next_idx=info['next'], + scene_token=info['scene_token'], + can_bus=info['can_bus'], + frame_idx=info['frame_idx'], + timestamp=info['timestamp'] / 1e6, + inst=info['inst'], # LSS分割标注生成 + egopose=info['ego_pose'] + ) + + if self.modality['use_camera']: + image_paths = [] + lidar2img_rts = [] + lidar2cam_rts = [] + cam_intrinsics = [] + # lss need + trans = [] + rots = [] + post_trans = [] + post_rots = [] + for cam_type, cam_info in info['cams'].items(): + image_paths.append(cam_info['data_path']) + # obtain lidar to image transformation matrix + lidar2cam_r = np.linalg.inv(cam_info['sensor2lidar_rotation']) + lidar2cam_t = cam_info[ + 'sensor2lidar_translation'] @ lidar2cam_r.T + lidar2cam_rt = np.eye(4) + lidar2cam_rt[:3, :3] = lidar2cam_r.T + lidar2cam_rt[3, :3] = -lidar2cam_t + intrinsic = cam_info['cam_intrinsic'] + viewpad = np.eye(4) + viewpad[:intrinsic.shape[0], :intrinsic.shape[1]] = intrinsic + lidar2img_rt = (viewpad @ lidar2cam_rt.T) + lidar2img_rts.append(lidar2img_rt) + + cam_intrinsics.append(viewpad) + lidar2cam_rts.append(lidar2cam_rt.T) + + # lss need + resize, resize_dims = self.sample_augmentation() + post_rot, post_tran = self.img_transform(resize) + post_trans.append(post_tran) + post_rots.append(post_rot) + samp = self.nusc.get('sample_data', cam_info['sample_data_token']) + sens = self.nusc.get('calibrated_sensor', samp['calibrated_sensor_token']) + trans.append(torch.Tensor(sens['translation'])) + rots.append(torch.Tensor(Quaternion(sens['rotation']).rotation_matrix)) + + + input_dict.update( + dict( + img_filename=image_paths, + lidar2img=lidar2img_rts, + cam_intrinsic=cam_intrinsics, + lidar2cam=lidar2cam_rts, + trans=trans, + rots=rots, + post_trans=post_trans, + post_rots=post_rots, + )) + + if not self.test_mode: + annos = self.get_ann_info(index) + input_dict['ann_info'] = annos + + input_dict['vectors'] = self.get_map_ann_info(info) + rotation = Quaternion(input_dict['ego2global_rotation']) + translation = input_dict['ego2global_translation'] + can_bus = input_dict['can_bus'] + can_bus[:3] = translation + can_bus[3:7] = rotation + patch_angle = quaternion_yaw(rotation) / np.pi * 180 + if patch_angle < 0: + patch_angle += 360 + can_bus[-2] = patch_angle / 180 * np.pi + can_bus[-1] = patch_angle + + return input_dict + + def __getitem__(self, idx): + """Get item from infos according to the given index. + Returns: + dict: Data dictionary of the corresponding index. + """ + if self.test_mode: + return self.prepare_test_data(idx) + while True: + + data = self.prepare_train_data(idx) + if data is None: + idx = self._rand_another(idx) + continue + return data + + + def format_results(self, results, jsonfile_prefix=None): + """Format the results to json (standard format for COCO evaluation). + + Args: + results (list[dict]): Testing results of the dataset. + jsonfile_prefix (str): The prefix of json files. It includes + the file path and the prefix of filename, e.g., "a/b/prefix". + If not specified, a temp file will be created. Default: None. + + Returns: + tuple: Returns (result_files, tmp_dir), where `result_files` is a + dict containing the json filepaths, `tmp_dir` is the temporal + directory created for saving json files when + `jsonfile_prefix` is not specified. + """ + assert isinstance(results, list), 'results must be a list' + assert len(results) == len(self), ( + 'The length of results is not equal to the dataset len: {} != {}'. + format(len(results), len(self))) + + if jsonfile_prefix is None: + tmp_dir = tempfile.TemporaryDirectory() + jsonfile_prefix = osp.join(tmp_dir.name, 'results') + else: + tmp_dir = None + + # currently the output prediction results could be in two formats + # 1. list of dict('boxes_3d': ..., 'scores_3d': ..., 'labels_3d': ...) + # 2. list of dict('pts_bbox' or 'img_bbox': + # dict('boxes_3d': ..., 'scores_3d': ..., 'labels_3d': ...)) + # this is a workaround to enable evaluation of both formats on nuScenes + # refer to https://github.com/open-mmlab/mmdetection3d/issues/449 + if not ('pts_bbox' in results[0] or 'img_bbox' in results[0]): + result_files = self._format_bbox(results, jsonfile_prefix) + else: + # should take the inner dict out of 'pts_bbox' or 'img_bbox' dict + result_files = dict() + for name in results[0]: + if name == 'seg_preds': + pass + #print(f'\nCalculate seg iou from {name}') + # 怎么计算iou?如何获得gt label? + else: + print(f'\nFormating bboxes of {name}') + results_ = [out[name] for out in results] + tmp_file_ = osp.join(jsonfile_prefix, name) + result_files.update( + {name: self._format_bbox(results_, tmp_file_)}) + return result_files, tmp_dir + + def _evaluate_single(self, + result_path, + logger=None, + metric='bbox', + result_name='pts_bbox'): + """Evaluation for a single model in nuScenes protocol. + + Args: + result_path (str): Path of the result file. + logger (logging.Logger | str | None): Logger used for printing + related information during evaluation. Default: None. + metric (str): Metric name used for evaluation. Default: 'bbox'. + result_name (str): Result name in the metric prefix. + Default: 'pts_bbox'. + + Returns: + dict: Dictionary of evaluation details. + """ + from nuscenes import NuScenes + self.nusc = NuScenes(version=self.version, dataroot=self.data_root, + verbose=True) + + output_dir = osp.join(*osp.split(result_path)[:-1]) + + eval_set_map = { + 'v1.0-mini': 'mini_val', + 'v1.0-trainval': 'val', + } + print(f'result_path:{result_path}, eval_detection_configs:{self.eval_detection_configs}, ' + f'eval_set_map:{eval_set_map[self.version]}') + self.nusc_eval = NuScenesEval_custom( + self.nusc, + config=self.eval_detection_configs, + result_path=result_path, + eval_set=eval_set_map[self.version], + output_dir=output_dir, + verbose=True, + overlap_test=self.overlap_test, + data_infos=self.data_infos + ) + self.nusc_eval.main(plot_examples=0, render_curves=False) + # record metrics + metrics = mmcv.load(osp.join(output_dir, 'metrics_summary.json')) + detail = dict() + metric_prefix = f'{result_name}_NuScenes' + for name in self.CLASSES: + for k, v in metrics['label_aps'][name].items(): + val = float('{:.4f}'.format(v)) + detail['{}/{}_AP_dist_{}'.format(metric_prefix, name, k)] = val + for k, v in metrics['label_tp_errors'][name].items(): + val = float('{:.4f}'.format(v)) + detail['{}/{}_{}'.format(metric_prefix, name, k)] = val + for k, v in metrics['tp_errors'].items(): + val = float('{:.4f}'.format(v)) + detail['{}/{}'.format(metric_prefix, + self.ErrNameMapping[k])] = val + detail['{}/NDS'.format(metric_prefix)] = metrics['nd_score'] + detail['{}/mAP'.format(metric_prefix)] = metrics['mean_ap'] + return detail diff --git a/projects/mmdet3d_plugin/datasets/nuscenes_mono_dataset.py b/projects/mmdet3d_plugin/datasets/nuscenes_mono_dataset.py new file mode 100644 index 0000000..b036b87 --- /dev/null +++ b/projects/mmdet3d_plugin/datasets/nuscenes_mono_dataset.py @@ -0,0 +1,777 @@ +# Copyright (c) OpenMMLab. All rights reserved. +import copy +import mmcv +import numpy as np +import pyquaternion +import tempfile +import torch +import warnings +from nuscenes.utils.data_classes import Box as NuScenesBox +from os import path as osp + +from mmdet3d.core import bbox3d2result, box3d_multiclass_nms, xywhr2xyxyr +from mmdet.datasets import DATASETS, CocoDataset +from mmdet3d.core import show_multi_modality_result +from mmdet3d.core.bbox import CameraInstance3DBoxes, get_box_type +from mmdet3d.datasets.pipelines import Compose +from mmdet3d.datasets.utils import extract_result_dict, get_loading_pipeline + + +@DATASETS.register_module() +class CustomNuScenesMonoDataset(CocoDataset): + r"""Monocular 3D detection on NuScenes Dataset. + This class serves as the API for experiments on the NuScenes Dataset. + Please refer to `NuScenes Dataset `_ + for data downloading. + Args: + ann_file (str): Path of annotation file. + data_root (str): Path of dataset root. + load_interval (int, optional): Interval of loading the dataset. It is + used to uniformly sample the dataset. Defaults to 1. + with_velocity (bool, optional): Whether include velocity prediction + into the experiments. Defaults to True. + modality (dict, optional): Modality to specify the sensor data used + as input. Defaults to None. + box_type_3d (str, optional): Type of 3D box of this dataset. + Based on the `box_type_3d`, the dataset will encapsulate the box + to its original format then converted them to `box_type_3d`. + Defaults to 'Camera' in this class. Available options includes. + - 'LiDAR': Box in LiDAR coordinates. + - 'Depth': Box in depth coordinates, usually for indoor dataset. + - 'Camera': Box in camera coordinates. + eval_version (str, optional): Configuration version of evaluation. + Defaults to 'detection_cvpr_2019'. + use_valid_flag (bool): Whether to use `use_valid_flag` key in the info + file as mask to filter gt_boxes and gt_names. Defaults to False. + version (str, optional): Dataset version. Defaults to 'v1.0-trainval'. + """ + CLASSES = ('car', 'truck', 'trailer', 'bus', 'construction_vehicle', + 'bicycle', 'motorcycle', 'pedestrian', 'traffic_cone', + 'barrier') + DefaultAttribute = { + 'car': 'vehicle.parked', + 'pedestrian': 'pedestrian.moving', + 'trailer': 'vehicle.parked', + 'truck': 'vehicle.parked', + 'bus': 'vehicle.moving', + 'motorcycle': 'cycle.without_rider', + 'construction_vehicle': 'vehicle.parked', + 'bicycle': 'cycle.without_rider', + 'barrier': '', + 'traffic_cone': '', + } + # https://github.com/nutonomy/nuscenes-devkit/blob/57889ff20678577025326cfc24e57424a829be0a/python-sdk/nuscenes/eval/detection/evaluate.py#L222 # noqa + ErrNameMapping = { + 'trans_err': 'mATE', + 'scale_err': 'mASE', + 'orient_err': 'mAOE', + 'vel_err': 'mAVE', + 'attr_err': 'mAAE' + } + + def __init__(self, + data_root, + load_interval=1, + with_velocity=True, + modality=None, + box_type_3d='Camera', + eval_version='detection_cvpr_2019', + use_valid_flag=False, + overlap_test=False, + version='v1.0-trainval', + **kwargs): + super().__init__(**kwargs) + # overlap_test = True + self.data_root = data_root + self.overlap_test = overlap_test + self.load_interval = load_interval + self.with_velocity = with_velocity + self.modality = modality + self.box_type_3d, self.box_mode_3d = get_box_type(box_type_3d) + self.eval_version = eval_version + self.use_valid_flag = use_valid_flag + self.bbox_code_size = 9 + self.version = version + if self.eval_version is not None: + from nuscenes.eval.detection.config import config_factory + self.eval_detection_configs = config_factory(self.eval_version) + if self.modality is None: + self.modality = dict( + use_camera=True, + use_lidar=False, + use_radar=False, + use_map=False, + use_external=False) + + def pre_pipeline(self, results): + """Initialization before data preparation. + Args: + results (dict): Dict before data preprocessing. + - img_fields (list): Image fields. + - bbox3d_fields (list): 3D bounding boxes fields. + - pts_mask_fields (list): Mask fields of points. + - pts_seg_fields (list): Mask fields of point segments. + - bbox_fields (list): Fields of bounding boxes. + - mask_fields (list): Fields of masks. + - seg_fields (list): Segment fields. + - box_type_3d (str): 3D box type. + - box_mode_3d (str): 3D box mode. + """ + results['img_prefix'] = '' # self.img_prefix + # print('img_prefix', self.img_prefix) + results['seg_prefix'] = self.seg_prefix + results['proposal_file'] = self.proposal_file + results['img_fields'] = [] + results['bbox3d_fields'] = [] + results['pts_mask_fields'] = [] + results['pts_seg_fields'] = [] + results['bbox_fields'] = [] + results['mask_fields'] = [] + results['seg_fields'] = [] + results['box_type_3d'] = self.box_type_3d + results['box_mode_3d'] = self.box_mode_3d + + def _parse_ann_info(self, img_info, ann_info): + """Parse bbox annotation. + Args: + img_info (list[dict]): Image info. + ann_info (list[dict]): Annotation info of an image. + Returns: + dict: A dict containing the following keys: bboxes, labels, \ + gt_bboxes_3d, gt_labels_3d, attr_labels, centers2d, \ + depths, bboxes_ignore, masks, seg_map + """ + gt_bboxes = [] + gt_labels = [] + attr_labels = [] + gt_bboxes_ignore = [] + gt_masks_ann = [] + gt_bboxes_cam3d = [] + centers2d = [] + depths = [] + for i, ann in enumerate(ann_info): + if ann.get('ignore', False): + continue + x1, y1, w, h = ann['bbox'] + inter_w = max(0, min(x1 + w, img_info['width']) - max(x1, 0)) + inter_h = max(0, min(y1 + h, img_info['height']) - max(y1, 0)) + if inter_w * inter_h == 0: + continue + if ann['area'] <= 0 or w < 1 or h < 1: + continue + if ann['category_id'] not in self.cat_ids: + continue + bbox = [x1, y1, x1 + w, y1 + h] + if ann.get('iscrowd', False): + gt_bboxes_ignore.append(bbox) + else: + gt_bboxes.append(bbox) + gt_labels.append(self.cat2label[ann['category_id']]) + attr_labels.append(ann['attribute_id']) + gt_masks_ann.append(ann.get('segmentation', None)) + # 3D annotations in camera coordinates + bbox_cam3d = np.array(ann['bbox_cam3d']).reshape(1, -1) + velo_cam3d = np.array(ann['velo_cam3d']).reshape(1, 2) + nan_mask = np.isnan(velo_cam3d[:, 0]) + velo_cam3d[nan_mask] = [0.0, 0.0] + bbox_cam3d = np.concatenate([bbox_cam3d, velo_cam3d], axis=-1) + gt_bboxes_cam3d.append(bbox_cam3d.squeeze()) + # 2.5D annotations in camera coordinates + center2d = ann['center2d'][:2] + depth = ann['center2d'][2] + centers2d.append(center2d) + depths.append(depth) + + if gt_bboxes: + gt_bboxes = np.array(gt_bboxes, dtype=np.float32) + gt_labels = np.array(gt_labels, dtype=np.int64) + attr_labels = np.array(attr_labels, dtype=np.int64) + else: + gt_bboxes = np.zeros((0, 4), dtype=np.float32) + gt_labels = np.array([], dtype=np.int64) + attr_labels = np.array([], dtype=np.int64) + + if gt_bboxes_cam3d: + gt_bboxes_cam3d = np.array(gt_bboxes_cam3d, dtype=np.float32) + centers2d = np.array(centers2d, dtype=np.float32) + depths = np.array(depths, dtype=np.float32) + else: + gt_bboxes_cam3d = np.zeros((0, self.bbox_code_size), + dtype=np.float32) + centers2d = np.zeros((0, 2), dtype=np.float32) + depths = np.zeros((0), dtype=np.float32) + + gt_bboxes_cam3d = CameraInstance3DBoxes( + gt_bboxes_cam3d, + box_dim=gt_bboxes_cam3d.shape[-1], + origin=(0.5, 0.5, 0.5)) + gt_labels_3d = copy.deepcopy(gt_labels) + + if gt_bboxes_ignore: + gt_bboxes_ignore = np.array(gt_bboxes_ignore, dtype=np.float32) + else: + gt_bboxes_ignore = np.zeros((0, 4), dtype=np.float32) + + seg_map = img_info['filename'].replace('jpg', 'png') + + ann = dict( + bboxes=gt_bboxes, + labels=gt_labels, + gt_bboxes_3d=gt_bboxes_cam3d, + gt_labels_3d=gt_labels_3d, + attr_labels=attr_labels, + centers2d=centers2d, + depths=depths, + bboxes_ignore=gt_bboxes_ignore, + masks=gt_masks_ann, + seg_map=seg_map) + + return ann + + def get_attr_name(self, attr_idx, label_name): + """Get attribute from predicted index. + This is a workaround to predict attribute when the predicted velocity + is not reliable. We map the predicted attribute index to the one + in the attribute set. If it is consistent with the category, we will + keep it. Otherwise, we will use the default attribute. + Args: + attr_idx (int): Attribute index. + label_name (str): Predicted category name. + Returns: + str: Predicted attribute name. + """ + # TODO: Simplify the variable name + AttrMapping_rev2 = [ + 'cycle.with_rider', 'cycle.without_rider', 'pedestrian.moving', + 'pedestrian.standing', 'pedestrian.sitting_lying_down', + 'vehicle.moving', 'vehicle.parked', 'vehicle.stopped', 'None' + ] + if label_name == 'car' or label_name == 'bus' \ + or label_name == 'truck' or label_name == 'trailer' \ + or label_name == 'construction_vehicle': + if AttrMapping_rev2[attr_idx] == 'vehicle.moving' or \ + AttrMapping_rev2[attr_idx] == 'vehicle.parked' or \ + AttrMapping_rev2[attr_idx] == 'vehicle.stopped': + return AttrMapping_rev2[attr_idx] + else: + return CustomNuScenesMonoDataset.DefaultAttribute[label_name] + elif label_name == 'pedestrian': + if AttrMapping_rev2[attr_idx] == 'pedestrian.moving' or \ + AttrMapping_rev2[attr_idx] == 'pedestrian.standing' or \ + AttrMapping_rev2[attr_idx] == \ + 'pedestrian.sitting_lying_down': + return AttrMapping_rev2[attr_idx] + else: + return CustomNuScenesMonoDataset.DefaultAttribute[label_name] + elif label_name == 'bicycle' or label_name == 'motorcycle': + if AttrMapping_rev2[attr_idx] == 'cycle.with_rider' or \ + AttrMapping_rev2[attr_idx] == 'cycle.without_rider': + return AttrMapping_rev2[attr_idx] + else: + return CustomNuScenesMonoDataset.DefaultAttribute[label_name] + else: + return CustomNuScenesMonoDataset.DefaultAttribute[label_name] + + def _format_bbox(self, results, jsonfile_prefix=None): + """Convert the results to the standard format. + Args: + results (list[dict]): Testing results of the dataset. + jsonfile_prefix (str): The prefix of the output jsonfile. + You can specify the output directory/filename by + modifying the jsonfile_prefix. Default: None. + Returns: + str: Path of the output json file. + """ + nusc_annos = {} + mapped_class_names = self.CLASSES + + print('Start to convert detection format...') + + CAM_NUM = 6 + + for sample_id, det in enumerate(mmcv.track_iter_progress(results)): + + if sample_id % CAM_NUM == 0: + boxes_per_frame = [] + attrs_per_frame = [] + + # need to merge results from images of the same sample + annos = [] + boxes, attrs = output_to_nusc_box(det) + sample_token = self.data_infos[sample_id]['token'] + boxes, attrs = cam_nusc_box_to_global(self.data_infos[sample_id], + boxes, attrs, + mapped_class_names, + self.eval_detection_configs, + self.eval_version) + + boxes_per_frame.extend(boxes) + attrs_per_frame.extend(attrs) + # Remove redundant predictions caused by overlap of images + if (sample_id + 1) % CAM_NUM != 0: + continue + boxes = global_nusc_box_to_cam( + self.data_infos[sample_id + 1 - CAM_NUM], boxes_per_frame, + mapped_class_names, self.eval_detection_configs, + self.eval_version) + cam_boxes3d, scores, labels = nusc_box_to_cam_box3d(boxes) + # box nms 3d over 6 images in a frame + # TODO: move this global setting into config + nms_cfg = dict( + use_rotate_nms=True, + nms_across_levels=False, + nms_pre=4096, + nms_thr=0.05, + score_thr=0.01, + min_bbox_size=0, + max_per_frame=500) + from mmcv import Config + nms_cfg = Config(nms_cfg) + cam_boxes3d_for_nms = xywhr2xyxyr(cam_boxes3d.bev) + boxes3d = cam_boxes3d.tensor + # generate attr scores from attr labels + attrs = labels.new_tensor([attr for attr in attrs_per_frame]) + boxes3d, scores, labels, attrs = box3d_multiclass_nms( + boxes3d, + cam_boxes3d_for_nms, + scores, + nms_cfg.score_thr, + nms_cfg.max_per_frame, + nms_cfg, + mlvl_attr_scores=attrs) + cam_boxes3d = CameraInstance3DBoxes(boxes3d, box_dim=9) + det = bbox3d2result(cam_boxes3d, scores, labels, attrs) + boxes, attrs = output_to_nusc_box(det) + boxes, attrs = cam_nusc_box_to_global( + self.data_infos[sample_id + 1 - CAM_NUM], boxes, attrs, + mapped_class_names, self.eval_detection_configs, + self.eval_version) + + for i, box in enumerate(boxes): + name = mapped_class_names[box.label] + attr = self.get_attr_name(attrs[i], name) + nusc_anno = dict( + sample_token=sample_token, + translation=box.center.tolist(), + size=box.wlh.tolist(), + rotation=box.orientation.elements.tolist(), + velocity=box.velocity[:2].tolist(), + detection_name=name, + detection_score=box.score, + attribute_name=attr) + annos.append(nusc_anno) + # other views results of the same frame should be concatenated + if sample_token in nusc_annos: + nusc_annos[sample_token].extend(annos) + else: + nusc_annos[sample_token] = annos + + nusc_submissions = { + 'meta': self.modality, + 'results': nusc_annos, + } + + mmcv.mkdir_or_exist(jsonfile_prefix) + res_path = osp.join(jsonfile_prefix, 'results_nusc.json') + print('Results writes to', res_path) + mmcv.dump(nusc_submissions, res_path) + return res_path + + def _evaluate_single(self, + result_path, + logger=None, + metric='bbox', + result_name='img_bbox'): + """Evaluation for a single model in nuScenes protocol. + Args: + result_path (str): Path of the result file. + logger (logging.Logger | str | None): Logger used for printing + related information during evaluation. Default: None. + metric (str): Metric name used for evaluation. Default: 'bbox'. + result_name (str): Result name in the metric prefix. + Default: 'img_bbox'. + Returns: + dict: Dictionary of evaluation details. + """ + from nuscenes import NuScenes + #from nuscenes.eval.detection.evaluate import NuScenesEval + from .nuscnes_eval import NuScenesEval_custom + output_dir = osp.join(*osp.split(result_path)[:-1]) + self.nusc = NuScenes( + version=self.version, dataroot=self.data_root, verbose=False) + eval_set_map = { + 'v1.0-mini': 'mini_val', + 'v1.0-trainval': 'val', + } + # nusc_eval = NuScenesEval( + # nusc, + # config=self.eval_detection_configs, + # result_path=result_path, + # eval_set=eval_set_map[self.version], + # output_dir=output_dir, + # verbose=False) + self.nusc_eval = NuScenesEval_custom( + self.nusc, + config=self.eval_detection_configs, + result_path=result_path, + eval_set=eval_set_map[self.version], + output_dir=output_dir, + verbose=True, + overlap_test=self.overlap_test, + data_infos=self.data_infos + ) + + self.nusc_eval.main(render_curves=True) + + # record metrics + metrics = mmcv.load(osp.join(output_dir, 'metrics_summary.json')) + detail = dict() + metric_prefix = f'{result_name}_NuScenes' + for name in self.CLASSES: + for k, v in metrics['label_aps'][name].items(): + val = float('{:.4f}'.format(v)) + detail['{}/{}_AP_dist_{}'.format(metric_prefix, name, k)] = val + for k, v in metrics['label_tp_errors'][name].items(): + val = float('{:.4f}'.format(v)) + detail['{}/{}_{}'.format(metric_prefix, name, k)] = val + for k, v in metrics['tp_errors'].items(): + val = float('{:.4f}'.format(v)) + detail['{}/{}'.format(metric_prefix, + self.ErrNameMapping[k])] = val + + detail['{}/NDS'.format(metric_prefix)] = metrics['nd_score'] + detail['{}/mAP'.format(metric_prefix)] = metrics['mean_ap'] + return detail + + def format_results(self, results, jsonfile_prefix=None, **kwargs): + """Format the results to json (standard format for COCO evaluation). + Args: + results (list[tuple | numpy.ndarray]): Testing results of the + dataset. + jsonfile_prefix (str | None): The prefix of json files. It includes + the file path and the prefix of filename, e.g., "a/b/prefix". + If not specified, a temp file will be created. Default: None. + Returns: + tuple: (result_files, tmp_dir), result_files is a dict containing \ + the json filepaths, tmp_dir is the temporal directory created \ + for saving json files when jsonfile_prefix is not specified. + """ + assert isinstance(results, list), 'results must be a list' + assert len(results) == len(self), ( + 'The length of results is not equal to the dataset len: {} != {}'. + format(len(results), len(self))) + + if jsonfile_prefix is None: + tmp_dir = tempfile.TemporaryDirectory() + jsonfile_prefix = osp.join(tmp_dir.name, 'results') + else: + tmp_dir = None + + # currently the output prediction results could be in two formats + # 1. list of dict('boxes_3d': ..., 'scores_3d': ..., 'labels_3d': ...) + # 2. list of dict('pts_bbox' or 'img_bbox': + # dict('boxes_3d': ..., 'scores_3d': ..., 'labels_3d': ...)) + # this is a workaround to enable evaluation of both formats on nuScenes + # refer to https://github.com/open-mmlab/mmdetection3d/issues/449 + if not ('pts_bbox' in results[0] or 'img_bbox' in results[0]): + result_files = self._format_bbox(results, jsonfile_prefix) + else: + # should take the inner dict out of 'pts_bbox' or 'img_bbox' dict + result_files = dict() + for name in results[0]: + # not evaluate 2D predictions on nuScenes + if '2d' in name: + continue + print(f'\nFormating bboxes of {name}') + results_ = [out[name] for out in results] + tmp_file_ = osp.join(jsonfile_prefix, name) + result_files.update( + {name: self._format_bbox(results_, tmp_file_)}) + + return result_files, tmp_dir + + def evaluate(self, + results, + metric='bbox', + logger=None, + jsonfile_prefix=None, + result_names=['img_bbox'], + show=False, + out_dir=None, + pipeline=None): + """Evaluation in nuScenes protocol. + Args: + results (list[dict]): Testing results of the dataset. + metric (str | list[str]): Metrics to be evaluated. + logger (logging.Logger | str | None): Logger used for printing + related information during evaluation. Default: None. + jsonfile_prefix (str | None): The prefix of json files. It includes + the file path and the prefix of filename, e.g., "a/b/prefix". + If not specified, a temp file will be created. Default: None. + show (bool): Whether to visualize. + Default: False. + out_dir (str): Path to save the visualization results. + Default: None. + pipeline (list[dict], optional): raw data loading for showing. + Default: None. + Returns: + dict[str, float]: Results of each evaluation metric. + """ + + result_files, tmp_dir = self.format_results(results, jsonfile_prefix) + + if isinstance(result_files, dict): + results_dict = dict() + for name in result_names: + print('Evaluating bboxes of {}'.format(name)) + ret_dict = self._evaluate_single(result_files[name]) + results_dict.update(ret_dict) + elif isinstance(result_files, str): + results_dict = self._evaluate_single(result_files) + + if tmp_dir is not None: + tmp_dir.cleanup() + + if show: + self.show(results, out_dir, pipeline=pipeline) + return results_dict + + def _extract_data(self, index, pipeline, key, load_annos=False): + """Load data using input pipeline and extract data according to key. + Args: + index (int): Index for accessing the target data. + pipeline (:obj:`Compose`): Composed data loading pipeline. + key (str | list[str]): One single or a list of data key. + load_annos (bool): Whether to load data annotations. + If True, need to set self.test_mode as False before loading. + Returns: + np.ndarray | torch.Tensor | list[np.ndarray | torch.Tensor]: + A single or a list of loaded data. + """ + assert pipeline is not None, 'data loading pipeline is not provided' + img_info = self.data_infos[index] + input_dict = dict(img_info=img_info) + + if load_annos: + ann_info = self.get_ann_info(index) + input_dict.update(dict(ann_info=ann_info)) + + self.pre_pipeline(input_dict) + example = pipeline(input_dict) + + # extract data items according to keys + if isinstance(key, str): + data = extract_result_dict(example, key) + else: + data = [extract_result_dict(example, k) for k in key] + + return data + + def _get_pipeline(self, pipeline): + """Get data loading pipeline in self.show/evaluate function. + Args: + pipeline (list[dict] | None): Input pipeline. If None is given, \ + get from self.pipeline. + """ + if pipeline is None: + if not hasattr(self, 'pipeline') or self.pipeline is None: + warnings.warn( + 'Use default pipeline for data loading, this may cause ' + 'errors when data is on ceph') + return self._build_default_pipeline() + loading_pipeline = get_loading_pipeline(self.pipeline.transforms) + return Compose(loading_pipeline) + return Compose(pipeline) + + def _build_default_pipeline(self): + """Build the default pipeline for this dataset.""" + pipeline = [ + dict(type='LoadImageFromFileMono3D'), + dict( + type='DefaultFormatBundle3D', + class_names=self.CLASSES, + with_label=False), + dict(type='Collect3D', keys=['img']) + ] + return Compose(pipeline) + + def show(self, results, out_dir, show=True, pipeline=None): + """Results visualization. + Args: + results (list[dict]): List of bounding boxes results. + out_dir (str): Output directory of visualization result. + show (bool): Visualize the results online. + pipeline (list[dict], optional): raw data loading for showing. + Default: None. + """ + assert out_dir is not None, 'Expect out_dir, got none.' + pipeline = self._get_pipeline(pipeline) + for i, result in enumerate(results): + if 'img_bbox' in result.keys(): + result = result['img_bbox'] + data_info = self.data_infos[i] + img_path = data_info['file_name'] + file_name = osp.split(img_path)[-1].split('.')[0] + img, img_metas = self._extract_data(i, pipeline, + ['img', 'img_metas']) + # need to transpose channel to first dim + img = img.numpy().transpose(1, 2, 0) + gt_bboxes = self.get_ann_info(i)['gt_bboxes_3d'] + pred_bboxes = result['boxes_3d'] + show_multi_modality_result( + img, + gt_bboxes, + pred_bboxes, + img_metas['cam2img'], + out_dir, + file_name, + box_mode='camera', + show=show) + + +def output_to_nusc_box(detection): + """Convert the output to the box class in the nuScenes. + Args: + detection (dict): Detection results. + - boxes_3d (:obj:`BaseInstance3DBoxes`): Detection bbox. + - scores_3d (torch.Tensor): Detection scores. + - labels_3d (torch.Tensor): Predicted box labels. + - attrs_3d (torch.Tensor, optional): Predicted attributes. + Returns: + list[:obj:`NuScenesBox`]: List of standard NuScenesBoxes. + """ + box3d = detection['boxes_3d'] + scores = detection['scores_3d'].numpy() + labels = detection['labels_3d'].numpy() + attrs = None + if 'attrs_3d' in detection: + attrs = detection['attrs_3d'].numpy() + + box_gravity_center = box3d.gravity_center.numpy() + box_dims = box3d.dims.numpy() + box_yaw = box3d.yaw.numpy() + + # convert the dim/rot to nuscbox convention + box_dims[:, [0, 1, 2]] = box_dims[:, [2, 0, 1]] + box_yaw = -box_yaw + + box_list = [] + for i in range(len(box3d)): + q1 = pyquaternion.Quaternion(axis=[0, 0, 1], radians=box_yaw[i]) + q2 = pyquaternion.Quaternion(axis=[1, 0, 0], radians=np.pi / 2) + quat = q2 * q1 + velocity = (box3d.tensor[i, 7], 0.0, box3d.tensor[i, 8]) + box = NuScenesBox( + box_gravity_center[i], + box_dims[i], + quat, + label=labels[i], + score=scores[i], + velocity=velocity) + box_list.append(box) + return box_list, attrs + + +def cam_nusc_box_to_global(info, + boxes, + attrs, + classes, + eval_configs, + eval_version='detection_cvpr_2019'): + """Convert the box from camera to global coordinate. + Args: + info (dict): Info for a specific sample data, including the + calibration information. + boxes (list[:obj:`NuScenesBox`]): List of predicted NuScenesBoxes. + classes (list[str]): Mapped classes in the evaluation. + eval_configs (object): Evaluation configuration object. + eval_version (str): Evaluation version. + Default: 'detection_cvpr_2019' + Returns: + list: List of standard NuScenesBoxes in the global + coordinate. + """ + box_list = [] + attr_list = [] + for (box, attr) in zip(boxes, attrs): + # Move box to ego vehicle coord system + box.rotate(pyquaternion.Quaternion(info['cam2ego_rotation'])) + box.translate(np.array(info['cam2ego_translation'])) + # filter det in ego. + cls_range_map = eval_configs.class_range + radius = np.linalg.norm(box.center[:2], 2) + det_range = cls_range_map[classes[box.label]] + if radius > det_range: + continue + # Move box to global coord system + box.rotate(pyquaternion.Quaternion(info['ego2global_rotation'])) + box.translate(np.array(info['ego2global_translation'])) + box_list.append(box) + attr_list.append(attr) + return box_list, attr_list + + +def global_nusc_box_to_cam(info, + boxes, + classes, + eval_configs, + eval_version='detection_cvpr_2019'): + """Convert the box from global to camera coordinate. + Args: + info (dict): Info for a specific sample data, including the + calibration information. + boxes (list[:obj:`NuScenesBox`]): List of predicted NuScenesBoxes. + classes (list[str]): Mapped classes in the evaluation. + eval_configs (object): Evaluation configuration object. + eval_version (str): Evaluation version. + Default: 'detection_cvpr_2019' + Returns: + list: List of standard NuScenesBoxes in the global + coordinate. + """ + box_list = [] + for box in boxes: + # Move box to ego vehicle coord system + box.translate(-np.array(info['ego2global_translation'])) + box.rotate( + pyquaternion.Quaternion(info['ego2global_rotation']).inverse) + # filter det in ego. + cls_range_map = eval_configs.class_range + radius = np.linalg.norm(box.center[:2], 2) + det_range = cls_range_map[classes[box.label]] + if radius > det_range: + continue + # Move box to camera coord system + box.translate(-np.array(info['cam2ego_translation'])) + box.rotate(pyquaternion.Quaternion(info['cam2ego_rotation']).inverse) + box_list.append(box) + return box_list + + +def nusc_box_to_cam_box3d(boxes): + """Convert boxes from :obj:`NuScenesBox` to :obj:`CameraInstance3DBoxes`. + Args: + boxes (list[:obj:`NuScenesBox`]): List of predicted NuScenesBoxes. + Returns: + tuple (:obj:`CameraInstance3DBoxes` | torch.Tensor | torch.Tensor): \ + Converted 3D bounding boxes, scores and labels. + """ + locs = torch.Tensor([b.center for b in boxes]).view(-1, 3) + dims = torch.Tensor([b.wlh for b in boxes]).view(-1, 3) + rots = torch.Tensor([b.orientation.yaw_pitch_roll[0] + for b in boxes]).view(-1, 1) + velocity = torch.Tensor([b.velocity[:2] for b in boxes]).view(-1, 2) + + # convert nusbox to cambox convention + dims[:, [0, 1, 2]] = dims[:, [1, 2, 0]] + rots = -rots + + boxes_3d = torch.cat([locs, dims, rots, velocity], dim=1).cuda() + cam_boxes3d = CameraInstance3DBoxes( + boxes_3d, box_dim=9, origin=(0.5, 0.5, 0.5)) + scores = torch.Tensor([b.score for b in boxes]).cuda() + labels = torch.LongTensor([b.label for b in boxes]).cuda() + nms_scores = scores.new_zeros(scores.shape[0], 10 + 1) + indices = labels.new_tensor(list(range(scores.shape[0]))) + nms_scores[indices, labels] = scores + return cam_boxes3d, nms_scores, labels \ No newline at end of file diff --git a/projects/mmdet3d_plugin/datasets/nuscnes_eval.py b/projects/mmdet3d_plugin/datasets/nuscnes_eval.py new file mode 100644 index 0000000..a2ae34c --- /dev/null +++ b/projects/mmdet3d_plugin/datasets/nuscnes_eval.py @@ -0,0 +1,751 @@ +import argparse +import copy +import json +import os +import time +from typing import Tuple, Dict, Any +import torch +import numpy as np + +from nuscenes import NuScenes +from nuscenes.eval.common.config import config_factory +from nuscenes.eval.common.data_classes import EvalBoxes +from nuscenes.eval.detection.data_classes import DetectionConfig +from nuscenes.eval.detection.evaluate import NuScenesEval +from pyquaternion import Quaternion + +from nuscenes import NuScenes +from nuscenes.eval.common.data_classes import EvalBoxes +from nuscenes.eval.detection.data_classes import DetectionBox +from nuscenes.eval.detection.utils import category_to_detection_name +from nuscenes.eval.tracking.data_classes import TrackingBox +from nuscenes.utils.data_classes import Box +from nuscenes.utils.geometry_utils import points_in_box +from nuscenes.utils.splits import create_splits_scenes +from nuscenes.eval.common.loaders import load_prediction, add_center_dist, filter_eval_boxes +import tqdm +from nuscenes.utils.geometry_utils import view_points, box_in_image, BoxVisibility, transform_matrix +from torchvision.transforms.functional import rotate +import pycocotools.mask as mask_util +# from projects.mmdet3d_plugin.models.utils.visual import save_tensor +from torchvision.transforms.functional import rotate +import cv2 +import argparse +import json +import os +import random +import time +from typing import Tuple, Dict, Any + +import numpy as np + +from nuscenes import NuScenes +from nuscenes.eval.common.config import config_factory +from nuscenes.eval.common.data_classes import EvalBoxes +from nuscenes.eval.common.loaders import load_prediction, load_gt, add_center_dist, filter_eval_boxes +from nuscenes.eval.detection.algo import accumulate, calc_ap, calc_tp +from nuscenes.eval.detection.constants import TP_METRICS +from nuscenes.eval.detection.data_classes import DetectionConfig, DetectionMetrics, DetectionBox, \ + DetectionMetricDataList +from nuscenes.eval.detection.render import summary_plot, class_pr_curve, dist_pr_curve, visualize_sample +from nuscenes.eval.common.utils import quaternion_yaw, Quaternion +from mmdet3d.core.bbox.iou_calculators import BboxOverlaps3D +from IPython import embed +import json +from typing import Any + +import numpy as np +from matplotlib import pyplot as plt + +from nuscenes import NuScenes +from nuscenes.eval.common.data_classes import EvalBoxes +from nuscenes.eval.common.render import setup_axis +from nuscenes.eval.common.utils import boxes_to_sensor +from nuscenes.eval.detection.constants import TP_METRICS, DETECTION_NAMES, DETECTION_COLORS, TP_METRICS_UNITS, \ + PRETTY_DETECTION_NAMES, PRETTY_TP_METRICS +from nuscenes.eval.detection.data_classes import DetectionMetrics, DetectionMetricData, DetectionMetricDataList +from nuscenes.utils.data_classes import LidarPointCloud +from nuscenes.utils.geometry_utils import view_points + + + +Axis = Any + +def class_tp_curve(md_list: DetectionMetricDataList, + metrics: DetectionMetrics, + detection_name: str, + min_recall: float, + dist_th_tp: float, + savepath: str = None, + ax: Axis = None) -> None: + """ + Plot the true positive curve for the specified class. + :param md_list: DetectionMetricDataList instance. + :param metrics: DetectionMetrics instance. + :param detection_name: + :param min_recall: Minimum recall value. + :param dist_th_tp: The distance threshold used to determine matches. + :param savepath: If given, saves the the rendering here instead of displaying. + :param ax: Axes onto which to render. + """ + # Get metric data for given detection class with tp distance threshold. + + md = md_list[(detection_name, dist_th_tp)] + min_recall_ind = round(100 * min_recall) + if min_recall_ind <= md.max_recall_ind: + # For traffic_cone and barrier only a subset of the metrics are plotted. + rel_metrics = [m for m in TP_METRICS if not np.isnan(metrics.get_label_tp(detection_name, m))] + ylimit = max([max(getattr(md, metric)[min_recall_ind:md.max_recall_ind + 1]) for metric in rel_metrics]) * 1.1 + else: + ylimit = 1.0 + + # Prepare axis. + if ax is None: + ax = setup_axis(title=PRETTY_DETECTION_NAMES[detection_name], xlabel='Recall', ylabel='Error', xlim=1, + min_recall=min_recall) + ax.set_ylim(0, ylimit) + + # Plot the recall vs. error curve for each tp metric. + for metric in TP_METRICS: + tp = metrics.get_label_tp(detection_name, metric) + + # Plot only if we have valid data. + if tp is not np.nan and min_recall_ind <= md.max_recall_ind: + recall, error = md.recall[:md.max_recall_ind + 1], getattr(md, metric)[:md.max_recall_ind + 1] + else: + recall, error = [], [] + + # Change legend based on tp value + if tp is np.nan: + label = '{}: n/a'.format(PRETTY_TP_METRICS[metric]) + elif min_recall_ind > md.max_recall_ind: + label = '{}: nan'.format(PRETTY_TP_METRICS[metric]) + else: + label = '{}: {:.2f} ({})'.format(PRETTY_TP_METRICS[metric], tp, TP_METRICS_UNITS[metric]) + if metric == 'trans_err': + label += f' ({md.max_recall_ind})' # add recall + print(f'Recall: {detection_name}: {md.max_recall_ind/100}') + ax.plot(recall, error, label=label) + ax.axvline(x=md.max_recall, linestyle='-.', color=(0, 0, 0, 0.3)) + ax.legend(loc='best') + + if savepath is not None: + plt.savefig(savepath) + plt.close() + + +class DetectionBox_modified(DetectionBox): + def __init__(self, *args, token=None, visibility=None, index=None, **kwargs): + ''' + add annotation token + ''' + super().__init__(*args, **kwargs) + self.token = token + self.visibility = visibility + self.index = index + + def serialize(self) -> dict: + """ Serialize instance into json-friendly format. """ + return { + 'token': self.token, + 'sample_token': self.sample_token, + 'translation': self.translation, + 'size': self.size, + 'rotation': self.rotation, + 'velocity': self.velocity, + 'ego_translation': self.ego_translation, + 'num_pts': self.num_pts, + 'detection_name': self.detection_name, + 'detection_score': self.detection_score, + 'attribute_name': self.attribute_name, + 'visibility': self.visibility, + 'index': self.index + + } + + @classmethod + def deserialize(cls, content: dict): + """ Initialize from serialized content. """ + return cls( + token=content['token'], + sample_token=content['sample_token'], + translation=tuple(content['translation']), + size=tuple(content['size']), + rotation=tuple(content['rotation']), + velocity=tuple(content['velocity']), + ego_translation=(0.0, 0.0, 0.0) if 'ego_translation' not in content + else tuple(content['ego_translation']), + num_pts=-1 if 'num_pts' not in content else int(content['num_pts']), + detection_name=content['detection_name'], + detection_score=-1.0 if 'detection_score' not in content else float(content['detection_score']), + attribute_name=content['attribute_name'], + visibility=content['visibility'], + index=content['index'], + ) + + +def center_in_image(box, intrinsic: np.ndarray, imsize: Tuple[int, int], vis_level: int = BoxVisibility.ANY) -> bool: + """ + Check if a box is visible inside an image without accounting for occlusions. + :param box: The box to be checked. + :param intrinsic: . Intrinsic camera matrix. + :param imsize: (width, height). + :param vis_level: One of the enumerations of . + :return True if visibility condition is satisfied. + """ + + center_3d = box.center.reshape(3, 1) + center_img = view_points(center_3d, intrinsic, normalize=True)[:2, :] + + visible = np.logical_and(center_img[0, :] > 0, center_img[0, :] < imsize[0]) + visible = np.logical_and(visible, center_img[1, :] < imsize[1]) + visible = np.logical_and(visible, center_img[1, :] > 0) + visible = np.logical_and(visible, center_3d[2, :] > 1) + + in_front = center_3d[2, :] > 0.1 # True if a corner is at least 0.1 meter in front of the camera. + + if vis_level == BoxVisibility.ALL: + return all(visible) and all(in_front) + elif vis_level == BoxVisibility.ANY: + return any(visible) and all(in_front) + elif vis_level == BoxVisibility.NONE: + return True + else: + raise ValueError("vis_level: {} not valid".format(vis_level)) + + +def exist_corners_in_image_but_not_all(box, intrinsic: np.ndarray, imsize: Tuple[int, int], + vis_level: int = BoxVisibility.ANY) -> bool: + """ + Check if a box is visible in images but not all corners in image . + :param box: The box to be checked. + :param intrinsic: . Intrinsic camera matrix. + :param imsize: (width, height). + :param vis_level: One of the enumerations of . + :return True if visibility condition is satisfied. + """ + + corners_3d = box.corners() + corners_img = view_points(corners_3d, intrinsic, normalize=True)[:2, :] + + visible = np.logical_and(corners_img[0, :] > 0, corners_img[0, :] < imsize[0]) + visible = np.logical_and(visible, corners_img[1, :] < imsize[1]) + visible = np.logical_and(visible, corners_img[1, :] > 0) + visible = np.logical_and(visible, corners_3d[2, :] > 1) + + in_front = corners_3d[2, :] > 0.1 # True if a corner is at least 0.1 meter in front of the camera. + + if any(visible) and not all(visible) and all(in_front): + return True + else: + return False + + +def load_gt(nusc: NuScenes, eval_split: str, box_cls, verbose: bool = False): + """ + Loads ground truth boxes from DB. + :param nusc: A NuScenes instance. + :param eval_split: The evaluation split for which we load GT boxes. + :param box_cls: Type of box to load, e.g. DetectionBox or TrackingBox. + :param verbose: Whether to print messages to stdout. + :return: The GT boxes. + """ + + # Init. + if box_cls == DetectionBox_modified: + attribute_map = {a['token']: a['name'] for a in nusc.attribute} + + if verbose: + print('Loading annotations for {} split from nuScenes version: {}'.format(eval_split, nusc.version)) + # Read out all sample_tokens in DB. + sample_tokens_all = [s['token'] for s in nusc.sample] + assert len(sample_tokens_all) > 0, "Error: Database has no samples!" + + # Only keep samples from this split. + splits = create_splits_scenes() + + # Check compatibility of split with nusc_version. + version = nusc.version + if eval_split in {'train', 'val', 'train_detect', 'train_track'}: + assert version.endswith('trainval'), \ + 'Error: Requested split {} which is not compatible with NuScenes version {}'.format(eval_split, version) + elif eval_split in {'mini_train', 'mini_val'}: + assert version.endswith('mini'), \ + 'Error: Requested split {} which is not compatible with NuScenes version {}'.format(eval_split, version) + elif eval_split == 'test': + assert version.endswith('test'), \ + 'Error: Requested split {} which is not compatible with NuScenes version {}'.format(eval_split, version) + else: + raise ValueError('Error: Requested split {} which this function cannot map to the correct NuScenes version.' + .format(eval_split)) + + if eval_split == 'test': + # Check that you aren't trying to cheat :). + assert len(nusc.sample_annotation) > 0, \ + 'Error: You are trying to evaluate on the test set but you do not have the annotations!' + index_map = {} + for scene in nusc.scene: + first_sample_token = scene['first_sample_token'] + sample = nusc.get('sample', first_sample_token) + index_map[first_sample_token] = 1 + index = 2 + while sample['next'] != '': + sample = nusc.get('sample', sample['next']) + index_map[sample['token']] = index + index += 1 + + sample_tokens = [] + for sample_token in sample_tokens_all: + scene_token = nusc.get('sample', sample_token)['scene_token'] + scene_record = nusc.get('scene', scene_token) + if scene_record['name'] in splits[eval_split]: + sample_tokens.append(sample_token) + + all_annotations = EvalBoxes() + + # Load annotations and filter predictions and annotations. + tracking_id_set = set() + for sample_token in tqdm.tqdm(sample_tokens, leave=verbose): + + sample = nusc.get('sample', sample_token) + sample_annotation_tokens = sample['anns'] + + sample_boxes = [] + for sample_annotation_token in sample_annotation_tokens: + + sample_annotation = nusc.get('sample_annotation', sample_annotation_token) + if box_cls == DetectionBox_modified: + # Get label name in detection task and filter unused labels. + detection_name = category_to_detection_name(sample_annotation['category_name']) + if detection_name is None: + continue + + # Get attribute_name. + attr_tokens = sample_annotation['attribute_tokens'] + attr_count = len(attr_tokens) + if attr_count == 0: + attribute_name = '' + elif attr_count == 1: + attribute_name = attribute_map[attr_tokens[0]] + else: + raise Exception('Error: GT annotations must not have more than one attribute!') + + sample_boxes.append( + box_cls( + token=sample_annotation_token, + sample_token=sample_token, + translation=sample_annotation['translation'], + size=sample_annotation['size'], + rotation=sample_annotation['rotation'], + velocity=nusc.box_velocity(sample_annotation['token'])[:2], + num_pts=sample_annotation['num_lidar_pts'] + sample_annotation['num_radar_pts'], + detection_name=detection_name, + detection_score=-1.0, # GT samples do not have a score. + attribute_name=attribute_name, + visibility=sample_annotation['visibility_token'], + index=index_map[sample_token] + ) + ) + elif box_cls == TrackingBox: + assert False + else: + raise NotImplementedError('Error: Invalid box_cls %s!' % box_cls) + + all_annotations.add_boxes(sample_token, sample_boxes) + + if verbose: + print("Loaded ground truth annotations for {} samples.".format(len(all_annotations.sample_tokens))) + + return all_annotations + + +def filter_eval_boxes_by_id(nusc: NuScenes, + eval_boxes: EvalBoxes, + id=None, + verbose: bool = False) -> EvalBoxes: + """ + Applies filtering to boxes. Distance, bike-racks and points per box. + :param nusc: An instance of the NuScenes class. + :param eval_boxes: An instance of the EvalBoxes class. + :param is: the anns token set that used to keep bboxes. + :param verbose: Whether to print to stdout. + """ + + # Accumulators for number of filtered boxes. + total, anns_filter = 0, 0 + for ind, sample_token in enumerate(eval_boxes.sample_tokens): + + # Filter on anns + total += len(eval_boxes[sample_token]) + filtered_boxes = [] + for box in eval_boxes[sample_token]: + if box.token in id: + filtered_boxes.append(box) + anns_filter += len(filtered_boxes) + eval_boxes.boxes[sample_token] = filtered_boxes + + if verbose: + print("=> Original number of boxes: %d" % total) + print("=> After anns based filtering: %d" % anns_filter) + + return eval_boxes + + +def filter_eval_boxes_by_visibility( + ori_eval_boxes: EvalBoxes, + visibility=None, + verbose: bool = False) -> EvalBoxes: + """ + Applies filtering to boxes. Distance, bike-racks and points per box. + :param nusc: An instance of the NuScenes class. + :param eval_boxes: An instance of the EvalBoxes class. + :param is: the anns token set that used to keep bboxes. + :param verbose: Whether to print to stdout. + """ + + # Accumulators for number of filtered boxes. + eval_boxes = copy.deepcopy(ori_eval_boxes) + total, anns_filter = 0, 0 + for ind, sample_token in enumerate(eval_boxes.sample_tokens): + # Filter on anns + total += len(eval_boxes[sample_token]) + filtered_boxes = [] + for box in eval_boxes[sample_token]: + if box.visibility == visibility: + filtered_boxes.append(box) + anns_filter += len(filtered_boxes) + eval_boxes.boxes[sample_token] = filtered_boxes + + if verbose: + print("=> Original number of boxes: %d" % total) + print("=> After visibility based filtering: %d" % anns_filter) + + return eval_boxes + + +def filter_by_sample_token(ori_eval_boxes, valid_sample_tokens=[], verbose=False): + eval_boxes = copy.deepcopy(ori_eval_boxes) + for sample_token in eval_boxes.sample_tokens: + if sample_token not in valid_sample_tokens: + eval_boxes.boxes.pop(sample_token) + return eval_boxes + + +def filter_eval_boxes_by_overlap(nusc: NuScenes, + eval_boxes: EvalBoxes, + verbose: bool = False) -> EvalBoxes: + """ + Applies filtering to boxes. basedon overlap . + :param nusc: An instance of the NuScenes class. + :param eval_boxes: An instance of the EvalBoxes class. + :param verbose: Whether to print to stdout. + """ + + # Accumulators for number of filtered boxes. + cams = ['CAM_FRONT', + 'CAM_FRONT_RIGHT', + 'CAM_BACK_RIGHT', + 'CAM_BACK', + 'CAM_BACK_LEFT', + 'CAM_FRONT_LEFT'] + + total, anns_filter = 0, 0 + for ind, sample_token in enumerate(eval_boxes.sample_tokens): + + # Filter on anns + total += len(eval_boxes[sample_token]) + sample_record = nusc.get('sample', sample_token) + filtered_boxes = [] + for box in eval_boxes[sample_token]: + count = 0 + for cam in cams: + ''' + copy-paste form nuscens + ''' + sample_data_token = sample_record['data'][cam] + sd_record = nusc.get('sample_data', sample_data_token) + cs_record = nusc.get('calibrated_sensor', sd_record['calibrated_sensor_token']) + sensor_record = nusc.get('sensor', cs_record['sensor_token']) + pose_record = nusc.get('ego_pose', sd_record['ego_pose_token']) + cam_intrinsic = np.array(cs_record['camera_intrinsic']) + imsize = (sd_record['width'], sd_record['height']) + new_box = Box(box.translation, box.size, Quaternion(box.rotation), + name=box.detection_name, token='') + + # Move box to ego vehicle coord system. + new_box.translate(-np.array(pose_record['translation'])) + new_box.rotate(Quaternion(pose_record['rotation']).inverse) + + # Move box to sensor coord system. + new_box.translate(-np.array(cs_record['translation'])) + new_box.rotate(Quaternion(cs_record['rotation']).inverse) + + if center_in_image(new_box, cam_intrinsic, imsize, vis_level=BoxVisibility.ANY): + count += 1 + # if exist_corners_in_image_but_not_all(new_box, cam_intrinsic, imsize, vis_level=BoxVisibility.ANY): + # count += 1 + + if count > 1: + with open('center_overlap.txt', 'a') as f: + try: + f.write(box.token + '\n') + except: + pass + filtered_boxes.append(box) + anns_filter += len(filtered_boxes) + eval_boxes.boxes[sample_token] = filtered_boxes + + verbose = True + + if verbose: + print("=> Original number of boxes: %d" % total) + print("=> After anns based filtering: %d" % anns_filter) + + return eval_boxes + + +class NuScenesEval_custom(NuScenesEval): + """ + Dummy class for backward-compatibility. Same as DetectionEval. + """ + + def __init__(self, + nusc: NuScenes, + config: DetectionConfig, + result_path: str, + eval_set: str, + output_dir: str = None, + verbose: bool = True, + overlap_test=False, + eval_mask=False, + data_infos=None + ): + """ + Initialize a DetectionEval object. + :param nusc: A NuScenes object. + :param config: A DetectionConfig object. + :param result_path: Path of the nuScenes JSON result file. + :param eval_set: The dataset split to evaluate on, e.g. train, val or test. + :param output_dir: Folder to save plots and results to. + :param verbose: Whether to print to stdout. + """ + + self.nusc = nusc + self.result_path = result_path + self.eval_set = eval_set + self.output_dir = output_dir + self.verbose = verbose + self.cfg = config + self.overlap_test = overlap_test + self.eval_mask = eval_mask + self.data_infos = data_infos + # Check result file exists. + assert os.path.exists(result_path), 'Error: The result file does not exist!' + + # Make dirs. + self.plot_dir = os.path.join(self.output_dir, 'plots') + if not os.path.isdir(self.output_dir): + os.makedirs(self.output_dir) + if not os.path.isdir(self.plot_dir): + os.makedirs(self.plot_dir) + + # Load data. + if verbose: + print('Initializing nuScenes detection evaluation') + self.pred_boxes, self.meta = load_prediction(self.result_path, self.cfg.max_boxes_per_sample, DetectionBox, + verbose=verbose) + self.gt_boxes = load_gt(self.nusc, self.eval_set, DetectionBox_modified, verbose=verbose) + + assert set(self.pred_boxes.sample_tokens) == set(self.gt_boxes.sample_tokens), \ + "Samples in split doesn't match samples in predictions." + + # Add center distances. + self.pred_boxes = add_center_dist(nusc, self.pred_boxes) + self.gt_boxes = add_center_dist(nusc, self.gt_boxes) + + # Filter boxes (distance, points per box, etc.). + + if verbose: + print('Filtering predictions') + self.pred_boxes = filter_eval_boxes(nusc, self.pred_boxes, self.cfg.class_range, verbose=verbose) + if verbose: + print('Filtering ground truth annotations') + self.gt_boxes = filter_eval_boxes(nusc, self.gt_boxes, self.cfg.class_range, verbose=verbose) + + if self.overlap_test: + self.pred_boxes = filter_eval_boxes_by_overlap(self.nusc, self.pred_boxes) + + self.gt_boxes = filter_eval_boxes_by_overlap(self.nusc, self.gt_boxes, verbose=True) + + self.all_gt = copy.deepcopy(self.gt_boxes) + self.all_preds = copy.deepcopy(self.pred_boxes) + self.sample_tokens = self.gt_boxes.sample_tokens + + self.index_map = {} + for scene in nusc.scene: + first_sample_token = scene['first_sample_token'] + sample = nusc.get('sample', first_sample_token) + self.index_map[first_sample_token] = 1 + index = 2 + while sample['next'] != '': + sample = nusc.get('sample', sample['next']) + self.index_map[sample['token']] = index + index += 1 + + def update_gt(self, type_='vis', visibility='1', index=1): + if type_ == 'vis': + self.visibility_test = True + if self.visibility_test: + '''[{'description': 'visibility of whole object is between 0 and 40%', + 'token': '1', + 'level': 'v0-40'}, + {'description': 'visibility of whole object is between 40 and 60%', + 'token': '2', + 'level': 'v40-60'}, + {'description': 'visibility of whole object is between 60 and 80%', + 'token': '3', + 'level': 'v60-80'}, + {'description': 'visibility of whole object is between 80 and 100%', + 'token': '4', + 'level': 'v80-100'}]''' + + self.gt_boxes = filter_eval_boxes_by_visibility(self.all_gt, visibility, verbose=True) + + elif type_ == 'ord': + + valid_tokens = [key for (key, value) in self.index_map.items() if value == index] + # from IPython import embed + # embed() + self.gt_boxes = filter_by_sample_token(self.all_gt, valid_tokens) + self.pred_boxes = filter_by_sample_token(self.all_preds, valid_tokens) + self.sample_tokens = self.gt_boxes.sample_tokens + + + def evaluate(self) -> Tuple[DetectionMetrics, DetectionMetricDataList]: + """ + Performs the actual evaluation. + :return: A tuple of high-level and the raw metric data. + """ + start_time = time.time() + + # ----------------------------------- + # Step 1: Accumulate metric data for all classes and distance thresholds. + # ----------------------------------- + if self.verbose: + print('Accumulating metric data...') + metric_data_list = DetectionMetricDataList() + + # print(self.cfg.dist_fcn_callable, self.cfg.dist_ths) + # self.cfg.dist_ths = [0.3] + # self.cfg.dist_fcn_callable + for class_name in self.cfg.class_names: + for dist_th in self.cfg.dist_ths: + md = accumulate(self.gt_boxes, self.pred_boxes, class_name, self.cfg.dist_fcn_callable, dist_th) + metric_data_list.set(class_name, dist_th, md) + + # ----------------------------------- + # Step 2: Calculate metrics from the data. + # ----------------------------------- + if self.verbose: + print('Calculating metrics...') + metrics = DetectionMetrics(self.cfg) + for class_name in self.cfg.class_names: + # Compute APs. + for dist_th in self.cfg.dist_ths: + metric_data = metric_data_list[(class_name, dist_th)] + ap = calc_ap(metric_data, self.cfg.min_recall, self.cfg.min_precision) + metrics.add_label_ap(class_name, dist_th, ap) + # Compute TP metrics. + for metric_name in TP_METRICS: + metric_data = metric_data_list[(class_name, self.cfg.dist_th_tp)] + if class_name in ['traffic_cone'] and metric_name in ['attr_err', 'vel_err', 'orient_err']: + tp = np.nan + elif class_name in ['barrier'] and metric_name in ['attr_err', 'vel_err']: + tp = np.nan + else: + tp = calc_tp(metric_data, self.cfg.min_recall, metric_name) + metrics.add_label_tp(class_name, metric_name, tp) + + # Compute evaluation time. + metrics.add_runtime(time.time() - start_time) + + return metrics, metric_data_list + + def render(self, metrics: DetectionMetrics, md_list: DetectionMetricDataList) -> None: + """ + Renders various PR and TP curves. + :param metrics: DetectionMetrics instance. + :param md_list: DetectionMetricDataList instance. + """ + if self.verbose: + print('Rendering PR and TP curves') + + def savepath(name): + return os.path.join(self.plot_dir, name + '.pdf') + + summary_plot(md_list, metrics, min_precision=self.cfg.min_precision, min_recall=self.cfg.min_recall, + dist_th_tp=self.cfg.dist_th_tp, savepath=savepath('summary')) + + for detection_name in self.cfg.class_names: + class_pr_curve(md_list, metrics, detection_name, self.cfg.min_precision, self.cfg.min_recall, + savepath=savepath(detection_name + '_pr')) + + class_tp_curve(md_list, metrics, detection_name, self.cfg.min_recall, self.cfg.dist_th_tp, + savepath=savepath(detection_name + '_tp')) + + for dist_th in self.cfg.dist_ths: + dist_pr_curve(md_list, metrics, dist_th, self.cfg.min_precision, self.cfg.min_recall, + savepath=savepath('dist_pr_' + str(dist_th))) + + +if __name__ == "__main__": + + # Settings. + parser = argparse.ArgumentParser(description='Evaluate nuScenes detection results.', + formatter_class=argparse.ArgumentDefaultsHelpFormatter) + parser.add_argument('result_path', type=str, help='The submission as a JSON file.') + parser.add_argument('--output_dir', type=str, default='~/nuscenes-metrics', + help='Folder to store result metrics, graphs and example visualizations.') + parser.add_argument('--eval_set', type=str, default='val', + help='Which dataset split to evaluate on, train, val or test.') + parser.add_argument('--dataroot', type=str, default='data/nuscenes', + help='Default nuScenes data directory.') + parser.add_argument('--version', type=str, default='v1.0-trainval', + help='Which version of the nuScenes dataset to evaluate on, e.g. v1.0-trainval.') + parser.add_argument('--config_path', type=str, default='', + help='Path to the configuration file.' + 'If no path given, the CVPR 2019 configuration will be used.') + parser.add_argument('--plot_examples', type=int, default=0, + help='How many example visualizations to write to disk.') + parser.add_argument('--render_curves', type=int, default=1, + help='Whether to render PR and TP curves to disk.') + parser.add_argument('--verbose', type=int, default=1, + help='Whether to print to stdout.') + args = parser.parse_args() + + result_path_ = os.path.expanduser(args.result_path) + output_dir_ = os.path.expanduser(args.output_dir) + eval_set_ = args.eval_set + dataroot_ = args.dataroot + version_ = args.version + config_path = args.config_path + plot_examples_ = args.plot_examples + render_curves_ = bool(args.render_curves) + verbose_ = bool(args.verbose) + + if config_path == '': + cfg_ = config_factory('detection_cvpr_2019') + else: + with open(config_path, 'r') as _f: + cfg_ = DetectionConfig.deserialize(json.load(_f)) + + nusc_ = NuScenes(version=version_, verbose=verbose_, dataroot=dataroot_) + nusc_eval = NuScenesEval_custom(nusc_, config=cfg_, result_path=result_path_, eval_set=eval_set_, + output_dir=output_dir_, verbose=verbose_) + for vis in ['1', '2', '3', '4']: + nusc_eval.update_gt(type_='vis', visibility=vis) + print(f'================ {vis} ===============') + nusc_eval.main(plot_examples=plot_examples_, render_curves=render_curves_) + #for index in range(1, 41): + # nusc_eval.update_gt(type_='ord', index=index) + # diff --git a/projects/mmdet3d_plugin/datasets/pipelines/__init__.py b/projects/mmdet3d_plugin/datasets/pipelines/__init__.py new file mode 100755 index 0000000..8fec5fa --- /dev/null +++ b/projects/mmdet3d_plugin/datasets/pipelines/__init__.py @@ -0,0 +1,21 @@ +from .transform_3d import ( + PadMultiViewImage, NormalizeMultiviewImage, + PhotoMetricDistortionMultiViewImage, CustomCollect3D, RandomScaleImageMultiViewImage) +from .formating import CustomDefaultFormatBundle3D +from .rasterize import RasterizeMapVectors +from .loading import LoadMultiViewImageFromFiles_MTL, LoadAnnotations3D_MTL +from .binimg import LSS_Segmentation +from .bevsegmentation import BEVFusionSegmentation +__all__ = [ + 'PadMultiViewImage', + 'NormalizeMultiviewImage', + 'RasterizeMapVectors', + 'PhotoMetricDistortionMultiViewImage', + 'CustomDefaultFormatBundle3D', + 'CustomCollect3D', + 'RandomScaleImageMultiViewImage', + 'LoadMultiViewImageFromFiles_MTL', + 'LoadAnnotations3D_MTL', + 'LSS_Segmentation', + 'BEVFusionSegmentation' +] \ No newline at end of file diff --git a/projects/mmdet3d_plugin/datasets/pipelines/bevsegmentation.py b/projects/mmdet3d_plugin/datasets/pipelines/bevsegmentation.py new file mode 100644 index 0000000..b6a9541 --- /dev/null +++ b/projects/mmdet3d_plugin/datasets/pipelines/bevsegmentation.py @@ -0,0 +1,106 @@ +from typing import Any, Dict, Tuple + +import torch +import numpy as np +from nuscenes.map_expansion.map_api import NuScenesMap +from nuscenes.map_expansion.map_api import locations as LOCATIONS +from nuscenes.eval.common.utils import quaternion_yaw, Quaternion +from mmdet.datasets.builder import PIPELINES + + +@PIPELINES.register_module() +class BEVFusionSegmentation: + """ + 获取BEVFusion论文中使用的分割标注 + + """ + def __init__( + self, + dataset_root, + map_grid_conf, + classes=('drivable_area', 'ped_crossing', + 'walkway', 'stop_line', 'carpark_area', + 'divider'), + ): + super().__init__() + xbound = map_grid_conf['xbound'] + ybound = map_grid_conf['ybound'] + patch_h = ybound[1] - ybound[0] + patch_w = xbound[1] - xbound[0] + canvas_h = int(patch_h / ybound[2]) + canvas_w = int(patch_w / xbound[2]) + self.patch_size = (patch_h, patch_w) + self.canvas_size = (canvas_h, canvas_w) + self.classes = classes + + self.maps = {} + for location in LOCATIONS: + self.maps[location] = NuScenesMap(dataset_root, location) + + def show_seg(self, labels): + + mask_colors = [ + np.random.randint(0, 256, (1, 3), dtype=np.uint8) + for _ in range(len(self.classes) + 1) + ] + img = np.zeros((200, 400, 3)) + + for index, mask_ in enumerate(labels): + color_mask = mask_colors[index] + mask_ = mask_.astype(bool) + img[mask_] = color_mask + + return img + + def __call__(self, results): + + location, ego2global_translation, ego2global_rotation = \ + results['location'], results['ego2global_translation'], results['ego2global_rotation'] + map_pose = ego2global_translation[:2] + rotation = Quaternion(ego2global_rotation) + + patch_box = (map_pose[0], map_pose[1], self.patch_size[0], self.patch_size[1]) + patch_angle = quaternion_yaw(rotation) / np.pi * 180 + + mappings = {} + for name in self.classes: + if name == "drivable_area*": + mappings[name] = ["road_segment", "lane"] + elif name == "divider": + mappings[name] = ["road_divider", "lane_divider"] + else: + mappings[name] = [name] + + layer_names = [] + for name in mappings: + layer_names.extend(mappings[name]) + layer_names = list(set(layer_names)) + + masks = self.maps[location].get_map_mask( + patch_box=patch_box, + patch_angle=patch_angle, + layer_names=layer_names, + canvas_size=self.canvas_size, + ) + # masks = masks[:, ::-1, :].copy() + # masks = masks.transpose(0, 2, 1) + masks = masks.astype(np.bool) + + num_classes = len(self.classes) + labels = np.zeros((num_classes, *self.canvas_size), dtype=np.long) + for k, name in enumerate(self.classes): + for layer_name in mappings[name]: + index = layer_names.index(layer_name) + labels[k, masks[index]] = 1 + + semantic_masks = labels # 这里已经进行了one_hot编码了 + num_cls = semantic_masks.shape[0] + indices = np.arange(1, num_cls + 1).reshape(-1, 1, 1) + semantic_indices = np.sum(semantic_masks * indices, axis=0) + semantic_indices = np.where(semantic_indices > 5, 6, semantic_indices) + + results.update({ + 'semantic_map': torch.from_numpy(semantic_masks), + 'semantic_indices': torch.from_numpy(semantic_indices).long(), + }) + return results \ No newline at end of file diff --git a/projects/mmdet3d_plugin/datasets/pipelines/binimg.py b/projects/mmdet3d_plugin/datasets/pipelines/binimg.py new file mode 100644 index 0000000..759a170 --- /dev/null +++ b/projects/mmdet3d_plugin/datasets/pipelines/binimg.py @@ -0,0 +1,65 @@ +import torch +import cv2 + +import numpy as np + +from nuscenes.utils.data_classes import Box +from pyquaternion import Quaternion +from mmdet.datasets.builder import PIPELINES + + +import warnings +warnings.filterwarnings('ignore') + + +@PIPELINES.register_module() +class LSS_Segmentation(object): + """ + 获取LSS论文中使用的分割标注 + + """ + + def __init__(self, + map_grid_conf=None + ): + + + dx, bx, nx = self.gen_dx_bx(map_grid_conf['xbound'], map_grid_conf['ybound'], map_grid_conf['zbound']) + self.dx, self.bx, self.nx = dx.numpy(), bx.numpy(), nx.numpy() + + @staticmethod + def gen_dx_bx(xbound, ybound, zbound): + dx = torch.Tensor([row[2] for row in [xbound, ybound, zbound]]) + bx = torch.Tensor([row[0] + row[2] / 2.0 for row in [xbound, ybound, zbound]]) + nx = torch.LongTensor([(row[1] - row[0]) / row[2] for row in [xbound, ybound, zbound]]) + + return dx, bx, nx + + def __call__(self, results): + egopose = results['egopose'] + trans = -np.array(egopose['translation']) + rot = Quaternion(egopose['rotation']).inverse + bin_img = np.zeros((self.nx[0], self.nx[1])) + + inst_ = results['inst'] + for inst in inst_: + # add category for lyft + if not inst['category_name'].split('.')[0] == 'vehicle': + continue + box = Box(inst['translation'], inst['size'], Quaternion(inst['rotation'])) + box.translate(trans) + box.rotate(rot) + + pts = box.bottom_corners()[:2].T + pts = np.round( + (pts - self.bx[:2] + self.dx[:2] / 2.) / self.dx[:2] + ).astype(np.int32) + pts[:, [1, 0]] = pts[:, [0, 1]] + cv2.fillPoly(bin_img, [pts], 1.0) + + + results.update({ + 'semantic_indices': torch.from_numpy(bin_img) + }) + + return results diff --git a/projects/mmdet3d_plugin/datasets/pipelines/formating.py b/projects/mmdet3d_plugin/datasets/pipelines/formating.py new file mode 100644 index 0000000..5287852 --- /dev/null +++ b/projects/mmdet3d_plugin/datasets/pipelines/formating.py @@ -0,0 +1,39 @@ + +# Copyright (c) OpenMMLab. All rights reserved. +import numpy as np +from mmcv.parallel import DataContainer as DC + +from mmdet3d.core.bbox import BaseInstance3DBoxes +from mmdet3d.core.points import BasePoints +from mmdet.datasets.builder import PIPELINES +from mmdet.datasets.pipelines import to_tensor +from mmdet3d.datasets.pipelines import DefaultFormatBundle3D + +@PIPELINES.register_module() +class CustomDefaultFormatBundle3D(DefaultFormatBundle3D): + """Default formatting bundle. + It simplifies the pipeline of formatting common fields for voxels, + including "proposals", "gt_bboxes", "gt_labels", "gt_masks" and + "gt_semantic_seg". + These fields are formatted as follows. + - img: (1)transpose, (2)to tensor, (3)to DataContainer (stack=True) + - proposals: (1)to tensor, (2)to DataContainer + - gt_bboxes: (1)to tensor, (2)to DataContainer + - gt_bboxes_ignore: (1)to tensor, (2)to DataContainer + - gt_labels: (1)to tensor, (2)to DataContainer + """ + + def __call__(self, results): + """Call function to transform and format common fields in results. + Args: + results (dict): Result dict contains the data to convert. + Returns: + dict: The result dict contains the data that is formatted with + default bundle. + """ + # Format 3D data + results = super(CustomDefaultFormatBundle3D, self).__call__(results) + results['gt_map_masks'] = DC( + to_tensor(results['gt_map_masks']), stack=True) + + return results \ No newline at end of file diff --git a/projects/mmdet3d_plugin/datasets/pipelines/loading.py b/projects/mmdet3d_plugin/datasets/pipelines/loading.py new file mode 100644 index 0000000..46b31aa --- /dev/null +++ b/projects/mmdet3d_plugin/datasets/pipelines/loading.py @@ -0,0 +1,436 @@ +# Copyright (c) OpenMMLab. All rights reserved. +import mmcv +import torch +import torchvision +from PIL import Image +import numpy as np +import os +import pyquaternion +import imageio + +from mmdet.datasets.builder import PIPELINES +from mmdet.datasets.pipelines import LoadAnnotations + +import pdb + + +def get_rot(h): + return torch.Tensor([ + [np.cos(h), np.sin(h)], + [-np.sin(h), np.cos(h)], + ]) + + +def img_transform(img, post_rot, post_tran, + resize, resize_dims, crop, + flip, rotate): + # adjust image + img = img.resize(resize_dims) + img = img.crop(crop) + if flip: + img = img.transpose(method=Image.FLIP_LEFT_RIGHT) + img = img.rotate(rotate) + + # post-homography transformation + post_rot *= resize + post_tran -= torch.Tensor(crop[:2]) + if flip: + A = torch.Tensor([[-1, 0], [0, 1]]) + b = torch.Tensor([crop[2] - crop[0], 0]) + post_rot = A.matmul(post_rot) + post_tran = A.matmul(post_tran) + b + A = get_rot(rotate/180*np.pi) + b = torch.Tensor([crop[2] - crop[0], crop[3] - crop[1]]) / 2 + b = A.matmul(-b) + b + post_rot = A.matmul(post_rot) + post_tran = A.matmul(post_tran) + b + + return img, post_rot, post_tran + + +normalize_img = torchvision.transforms.Compose(( + torchvision.transforms.ToTensor(), + torchvision.transforms.Normalize(mean=[0.485, 0.456, 0.406], + std=[0.229, 0.224, 0.225]), +)) + + +def decode_binary_labels(labels, nclass): + bits = torch.pow(2, torch.arange(nclass)) + return (labels & bits.view(-1, 1, 1)) > 0 + + +@PIPELINES.register_module() +class LoadMultiViewImageFromFiles_MTL(object): + """Load multi channel images from a list of separate channel files. + + Expects results['img_filename'] to be a list of filenames. + + Args: + to_float32 (bool): Whether to convert the img to float32. + Defaults to False. + color_type (str): Color type of the file. Defaults to 'unchanged'. + """ + + def __init__(self, is_train=False, using_ego=False, temporal_consist=False, + data_aug_conf={ + 'resize_lim': (0.193, 0.225), + 'final_dim': (128, 352), + 'rot_lim': (-5.4, 5.4), + 'H': 900, 'W': 1600, + 'rand_flip': True, + 'bot_pct_lim': (0.0, 0.22), + 'cams': ['CAM_FRONT_LEFT', 'CAM_FRONT', 'CAM_FRONT_RIGHT', + 'CAM_BACK_LEFT', 'CAM_BACK', 'CAM_BACK_RIGHT'], + 'Ncams': 5, + }, load_seg_gt=False, num_seg_classes=14, select_classes=None): + + self.is_train = is_train + self.using_ego = using_ego + self.data_aug_conf = data_aug_conf + self.load_seg_gt = load_seg_gt + self.num_seg_classes = num_seg_classes + self.select_classes = range( + num_seg_classes) if select_classes is None else select_classes + + self.temporal_consist = temporal_consist + self.test_time_augmentation = self.data_aug_conf.get('test_aug', False) + + def sample_augmentation(self, specify_resize=None, specify_flip=None): + H, W = self.data_aug_conf['H'], self.data_aug_conf['W'] + fH, fW = self.data_aug_conf['final_dim'] + if self.is_train: + resize = np.random.uniform(*self.data_aug_conf['resize_lim']) + resize_dims = (int(W * resize), int(H * resize)) + newW, newH = resize_dims + + crop_h = max(0, newH - fH) + crop_w = int(np.random.uniform(0, max(0, newW - fW))) + crop = (crop_w, crop_h, crop_w + fW, crop_h + fH) + + flip = False + if self.data_aug_conf['rand_flip'] and np.random.choice([0, 1]): + flip = True + rotate = np.random.uniform(*self.data_aug_conf['rot_lim']) + else: + resize = max(fH / H, fW / W) + resize = resize + 0.04 + if specify_resize is not None: + resize = specify_resize + + resize_dims = (int(W * resize), int(H * resize)) + newW, newH = resize_dims + crop_h = max(0, newH - fH) + crop_w = int(max(0, newW - fW) / 2) + crop = (crop_w, crop_h, crop_w + fW, crop_h + fH) + flip = False if specify_flip is None else specify_flip + rotate = 0 + return resize, resize_dims, crop, flip, rotate + + def choose_cams(self): + if self.is_train and self.data_aug_conf['Ncams'] < len(self.data_aug_conf['cams']): + cams = np.random.choice(self.data_aug_conf['cams'], self.data_aug_conf['Ncams'], + replace=False) + else: + cams = self.data_aug_conf['cams'] + cyclist = self.data_aug_conf.get('cyclist', False) + if cyclist: + start_id = np.random.choice(np.arange(len(cams))) + cams = cams[start_id:] + cams[:start_id] + return cams + + def get_img_inputs(self, results, specify_resize=None, specify_flip=None): + img_infos = results['img_info'] + + imgs = [] + rots = [] + trans = [] + intrins = [] + post_rots = [] + post_trans = [] + + cams = self.choose_cams() + if self.temporal_consist: + cam_augments = {} + for cam in cams: + cam_augments[cam] = self.sample_augmentation( + specify_resize=specify_resize, specify_flip=specify_flip) + + for frame_id, img_info in enumerate(img_infos): + imgs.append([]) + rots.append([]) + trans.append([]) + intrins.append([]) + post_rots.append([]) + post_trans.append([]) + + for cam in cams: + cam_data = img_info[cam] + filename = cam_data['data_path'] + filename = os.path.join( + results['data_root'], filename.split('nuscenes/')[1]) + + img = Image.open(filename) + + # img = imageio.imread(filename) + # img = Image.fromarray(img) + + post_rot = torch.eye(2) + post_tran = torch.zeros(2) + + intrin = torch.Tensor(cam_data['cam_intrinsic']) + # extrinsics + rot = torch.Tensor(cam_data['sensor2lidar_rotation']) + tran = torch.Tensor(cam_data['sensor2lidar_translation']) + + # 进一步转换到 LiDAR 坐标系 + if self.using_ego: + cam2lidar = torch.eye(4) + cam2lidar[:3, :3] = torch.Tensor( + cam_data['sensor2lidar_rotation']) + cam2lidar[:3, 3] = torch.Tensor( + cam_data['sensor2lidar_translation']) + + lidar2ego = torch.eye(4) + lidar2ego[:3, :3] = results['lidar2ego_rots'] + lidar2ego[:3, 3] = results['lidar2ego_trans'] + + cam2ego = lidar2ego @ cam2lidar + + rot = cam2ego[:3, :3] + tran = cam2ego[:3, 3] + + # augmentation (resize, crop, horizontal flip, rotate) + if self.temporal_consist: + resize, resize_dims, crop, flip, rotate = cam_augments[cam] + else: + # generate augmentation for each time-step, each + resize, resize_dims, crop, flip, rotate = self.sample_augmentation( + specify_resize=specify_resize, specify_flip=specify_flip) + + img, post_rot2, post_tran2 = img_transform(img, post_rot, post_tran, + resize=resize, + resize_dims=resize_dims, + crop=crop, + flip=flip, + rotate=rotate) + + post_tran = torch.zeros(3) + post_rot = torch.eye(3) + post_tran[:2] = post_tran2 + post_rot[:2, :2] = post_rot2 + + imgs[frame_id].append(normalize_img(img)) + intrins[frame_id].append(intrin) + rots[frame_id].append(rot) + trans[frame_id].append(tran) + post_rots[frame_id].append(post_rot) + post_trans[frame_id].append(post_tran) + + # [num_seq, num_cam, ...] + imgs = torch.stack([torch.stack(x, dim=0) for x in imgs], dim=0) + rots = torch.stack([torch.stack(x, dim=0) for x in rots], dim=0) + trans = torch.stack([torch.stack(x, dim=0) for x in trans], dim=0) + intrins = torch.stack([torch.stack(x, dim=0) for x in intrins], dim=0) + post_rots = torch.stack([torch.stack(x, dim=0) + for x in post_rots], dim=0) + post_trans = torch.stack([torch.stack(x, dim=0) + for x in post_trans], dim=0) + + return imgs, rots, trans, intrins, post_rots, post_trans + + def __call__(self, results): + if (not self.is_train) and self.test_time_augmentation: + results['flip_aug'] = [] + results['scale_aug'] = [] + img_inputs = [] + for flip in self.data_aug_conf.get('tta_flip', [False, ]): + for scale in self.data_aug_conf.get('tta_scale', [None, ]): + results['flip_aug'].append(flip) + results['scale_aug'].append(scale) + img_inputs.append( + self.get_img_inputs(results, scale, flip)) + + results['img_inputs'] = img_inputs + else: + results['img_inputs'] = self.get_img_inputs(results) + + return results + + +@PIPELINES.register_module() +class LoadAnnotations3D_MTL(LoadAnnotations): + """Load Annotations3D. + + Load instance mask and semantic mask of points and + encapsulate the items into related fields. + + Args: + with_bbox_3d (bool, optional): Whether to load 3D boxes. + Defaults to True. + with_label_3d (bool, optional): Whether to load 3D labels. + Defaults to True. + with_attr_label (bool, optional): Whether to load attribute label. + Defaults to False. + with_mask_3d (bool, optional): Whether to load 3D instance masks. + for points. Defaults to False. + with_seg_3d (bool, optional): Whether to load 3D semantic masks. + for points. Defaults to False. + with_bbox (bool, optional): Whether to load 2D boxes. + Defaults to False. + with_label (bool, optional): Whether to load 2D labels. + Defaults to False. + with_mask (bool, optional): Whether to load 2D instance masks. + Defaults to False. + with_seg (bool, optional): Whether to load 2D semantic masks. + Defaults to False. + with_bbox_depth (bool, optional): Whether to load 2.5D boxes. + Defaults to False. + poly2mask (bool, optional): Whether to convert polygon annotations + to bitmasks. Defaults to True. + seg_3d_dtype (dtype, optional): Dtype of 3D semantic masks. + Defaults to int64 + file_client_args (dict): Config dict of file clients, refer to + https://github.com/open-mmlab/mmcv/blob/master/mmcv/fileio/file_client.py + for more details. + """ + + def __init__(self, + with_bbox_3d=True, + with_label_3d=True, + with_instance_tokens=False, + with_attr_label=False, + with_mask_3d=False, + with_seg_3d=False, + with_bbox=False, + with_label=False, + with_mask=False, + with_seg=False, + with_bbox_depth=False, + poly2mask=True, + seg_3d_dtype='int', + file_client_args=dict(backend='disk')): + super().__init__( + with_bbox, + with_label, + with_mask, + with_seg, + poly2mask, + file_client_args=file_client_args) + + self.with_bbox_3d = with_bbox_3d + self.with_bbox_depth = with_bbox_depth + self.with_label_3d = with_label_3d + self.with_attr_label = with_attr_label + self.with_mask_3d = with_mask_3d + self.with_seg_3d = with_seg_3d + self.seg_3d_dtype = seg_3d_dtype + self.with_instance_tokens = with_instance_tokens + + + def _load_bboxes_3d(self, results): + """Private function to load 3D bounding box annotations. + + Args: + results (dict): Result dict from :obj:`mmdet3d.CustomDataset`. + + Returns: + dict: The dict containing loaded 3D bounding box annotations. + """ + results['gt_bboxes_3d'] = results['ann_info']['gt_bboxes_3d'] + results['bbox3d_fields'].append('gt_bboxes_3d') + return results + + + def _load_labels_3d(self, results): + """Private function to load label annotations. + + Args: + results (dict): Result dict from :obj:`mmdet3d.CustomDataset`. + + Returns: + dict: The dict containing loaded label annotations. + """ + results['gt_labels_3d'] = results['ann_info']['gt_labels_3d'] + return results + + + # added + def _load_instance_tokens(self, results): + """Private function to load label annotations. + + Args: + results (dict): Result dict from :obj:`mmdet3d.CustomDataset`. + + Returns: + dict: The dict containing loaded label annotations. + """ + + instance_tokens = [] + for ann_info in results['ann_info']: + if ann_info is not None: + instance_tokens.append(ann_info['instance_tokens']) + else: + instance_tokens.append(None) + results['instance_tokens'] = instance_tokens + + return results + + def __call__(self, results): + """Call function to load multiple types annotations. + + Args: + results (dict): Result dict from :obj:`mmdet3d.CustomDataset`. + + Returns: + dict: The dict containing loaded 3D bounding box, label, mask and + semantic segmentation annotations. + """ + results = super().__call__(results) + + # 即使 without 3d bounding boxes, 也需要正常训练 + if self.with_bbox_3d: + results = self._load_bboxes_3d(results) + + if self.with_label_3d: + results = self._load_labels_3d(results) + + if self.with_instance_tokens: + results = self._load_instance_tokens(results) + + # loading valid_flags + gt_valid_flags = [] + for ann_info in results['ann_info']: + if ann_info is not None: + gt_valid_flags.append(ann_info['gt_valid_flag']) + else: + gt_valid_flags.append(None) + results['gt_valid_flag'] = gt_valid_flags + + # loading visibility tokens + gt_vis_tokens = [] + for ann_info in results['ann_info']: + if ann_info is not None: + gt_vis_tokens.append(ann_info['gt_vis_tokens']) + else: + gt_vis_tokens.append(None) + results['gt_vis_tokens'] = gt_vis_tokens + + return results + + def __repr__(self): + """str: Return a string that describes the module.""" + indent_str = ' ' + repr_str = self.__class__.__name__ + '(\n' + repr_str += f'{indent_str}with_bbox_3d={self.with_bbox_3d}, ' + repr_str += f'{indent_str}with_label_3d={self.with_label_3d}, ' + repr_str += f'{indent_str}with_attr_label={self.with_attr_label}, ' + repr_str += f'{indent_str}with_mask_3d={self.with_mask_3d}, ' + repr_str += f'{indent_str}with_seg_3d={self.with_seg_3d}, ' + repr_str += f'{indent_str}with_bbox={self.with_bbox}, ' + repr_str += f'{indent_str}with_label={self.with_label}, ' + repr_str += f'{indent_str}with_mask={self.with_mask}, ' + repr_str += f'{indent_str}with_seg={self.with_seg}, ' + repr_str += f'{indent_str}with_bbox_depth={self.with_bbox_depth}, ' + repr_str += f'{indent_str}poly2mask={self.poly2mask})' + return repr_str diff --git a/projects/mmdet3d_plugin/datasets/pipelines/motion_labels.py b/projects/mmdet3d_plugin/datasets/pipelines/motion_labels.py new file mode 100644 index 0000000..a371025 --- /dev/null +++ b/projects/mmdet3d_plugin/datasets/pipelines/motion_labels.py @@ -0,0 +1,148 @@ +from enum import unique +from unittest import result +import torch +import numpy as np +import cv2 +import pdb + +from ...models.dense_heads.map_head import calculate_birds_eye_view_parameters +from mmdet.datasets.builder import PIPELINES +from ..utils.instance import convert_instance_mask_to_center_and_offset_label, convert_instance_mask_to_center_and_offset_label_with_warper +from ..utils.warper import FeatureWarper + +import pdb + + +@PIPELINES.register_module() +class ConvertMotionLabels(object): + def __init__(self, grid_conf, ignore_index=255, only_vehicle=True, filter_invisible=True): + self.grid_conf = grid_conf + # torch.tensor + self.bev_resolution, self.bev_start_position, self.bev_dimension = calculate_birds_eye_view_parameters( + grid_conf['xbound'], grid_conf['ybound'], grid_conf['zbound'], + ) + # convert numpy + self.bev_resolution = self.bev_resolution.numpy() + self.bev_start_position = self.bev_start_position.numpy() + self.bev_dimension = self.bev_dimension.numpy() + self.spatial_extent = (grid_conf['xbound'][1], grid_conf['ybound'][1]) + self.ignore_index = ignore_index + self.only_vehicle = only_vehicle + self.filter_invisible = filter_invisible + + nusc_classes = ['car', 'truck', 'construction_vehicle', 'bus', 'trailer', + 'barrier', 'motorcycle', 'bicycle', 'pedestrian', 'traffic_cone'] + vehicle_classes = ['car', 'bus', 'construction_vehicle', + 'bicycle', 'motorcycle', 'truck', 'trailer'] + + self.vehicle_cls_ids = np.array([nusc_classes.index( + cls_name) for cls_name in vehicle_classes]) + + self.warper = FeatureWarper(grid_conf=grid_conf) + + def __call__(self, results): + # annotation_token ==> instance_id + instance_map = {} + + # convert LiDAR bounding boxes to motion labels + num_frame = len(results['gt_bboxes_3d']) + all_gt_bboxes_3d = results['gt_bboxes_3d'] + all_gt_labels_3d = results['gt_labels_3d'] + all_instance_tokens = results['instance_tokens'] + all_vis_tokens = results['gt_vis_tokens'] + # 4x4 transformation matrix (if exist) + bev_transform = results.get('aug_transform', None) + + segmentations = [] + instances = [] + + # 对于 invalid frame: 所有 label 均为 255 + # 对于 valid frame: seg & instance 背景是 0,其它背景为255 + + for frame_index in range(num_frame): + gt_bboxes_3d, gt_labels_3d = all_gt_bboxes_3d[frame_index], all_gt_labels_3d[frame_index] + instance_tokens = all_instance_tokens[frame_index] + vis_tokens = all_vis_tokens[frame_index] + + if gt_bboxes_3d is None: + # for invalid samples + segmentation = np.ones( + (self.bev_dimension[1], self.bev_dimension[0])) * self.ignore_index + instance = np.ones( + (self.bev_dimension[1], self.bev_dimension[0])) * self.ignore_index + else: + # for valid samples + segmentation = np.zeros( + (self.bev_dimension[1], self.bev_dimension[0])) + instance = np.zeros( + (self.bev_dimension[1], self.bev_dimension[0])) + + if self.only_vehicle: + vehicle_mask = np.isin(gt_labels_3d, self.vehicle_cls_ids) + gt_bboxes_3d = gt_bboxes_3d[vehicle_mask] + gt_labels_3d = gt_labels_3d[vehicle_mask] + instance_tokens = instance_tokens[vehicle_mask] + vis_tokens = vis_tokens[vehicle_mask] + + if self.filter_invisible: + visible_mask = (vis_tokens != 1) + gt_bboxes_3d = gt_bboxes_3d[visible_mask] + gt_labels_3d = gt_labels_3d[visible_mask] + instance_tokens = instance_tokens[visible_mask] + + # valid sample and has objects + if len(gt_bboxes_3d.tensor) > 0: + bbox_corners = gt_bboxes_3d.corners[:, [ + 0, 3, 7, 4], :2].numpy() + bbox_corners = np.round( + (bbox_corners - self.bev_start_position[:2] + self.bev_resolution[:2] / 2.0) / self.bev_resolution[:2]).astype(np.int32) + + for index, instance_token in enumerate(instance_tokens): + if instance_token not in instance_map: + instance_map[instance_token] = len( + instance_map) + 1 + + # instance_id start from 1 + instance_id = instance_map[instance_token] + poly_region = bbox_corners[index] + cv2.fillPoly(segmentation, [poly_region], 1.0) + cv2.fillPoly(instance, [poly_region], instance_id) + + segmentations.append(segmentation) + instances.append(instance) + + # segmentation = 1 where objects are located + segmentations = torch.from_numpy( + np.stack(segmentations, axis=0)).long() + instances = torch.from_numpy(np.stack(instances, axis=0)).long() + + # generate heatmap & offset from segmentation & instance + future_egomotions = results['future_egomotions'][- num_frame:] + instance_centerness, instance_offset, instance_flow = convert_instance_mask_to_center_and_offset_label_with_warper( + instance_img=instances, + future_egomotion=future_egomotions, + num_instances=len(instance_map), + ignore_index=self.ignore_index, + subtract_egomotion=True, + warper=self.warper, + bev_transform=bev_transform, + ) + + invalid_mask = (segmentations[:, 0, 0] == self.ignore_index) + instance_centerness[invalid_mask] = self.ignore_index + + # only keep detection labels for the current frame + results['gt_bboxes_3d'] = all_gt_bboxes_3d[0] + results['gt_labels_3d'] = all_gt_labels_3d[0] + results['instance_tokens'] = all_instance_tokens[0] + results['gt_valid_flag'] = results['gt_valid_flag'][0] + + results.update({ + 'motion_segmentation': segmentations, + 'motion_instance': instances, + 'instance_centerness': instance_centerness, + 'instance_offset': instance_offset, + 'instance_flow': instance_flow, + }) + + return results diff --git a/projects/mmdet3d_plugin/datasets/pipelines/rasterize.py b/projects/mmdet3d_plugin/datasets/pipelines/rasterize.py new file mode 100644 index 0000000..f059f2b --- /dev/null +++ b/projects/mmdet3d_plugin/datasets/pipelines/rasterize.py @@ -0,0 +1,68 @@ +import torch +import numpy as np + +from mmdet.datasets.builder import PIPELINES +from ..utils import preprocess_map + +import warnings +warnings.filterwarnings('ignore') + + +@PIPELINES.register_module() +class RasterizeMapVectors(object): + """Load multi channel images from a list of separate channel files. + + Expects results['img_filename'] to be a list of filenames. + + Args: + to_float32 (bool): Whether to convert the img to float32. + Defaults to False. + color_type (str): Color type of the file. Defaults to 'unchanged'. + """ + + def __init__(self, + map_grid_conf=None, + map_max_channel=3, + map_thickness=5, + map_angle_class=36 + ): + + self.map_max_channel = map_max_channel + self.map_thickness = map_thickness + self.map_angle_class = map_angle_class + + map_xbound, map_ybound = map_grid_conf['xbound'], map_grid_conf['ybound'] + + # patch_size: 在 y, x 方向上的坐标 range + patch_h = map_ybound[1] - map_ybound[0] + patch_w = map_xbound[1] - map_xbound[0] + + # canvas_size: 在 y, x 方向上的 bev 尺寸 + canvas_h = int(patch_h / map_ybound[2]) + canvas_w = int(patch_w / map_xbound[2]) + + self.map_patch_size = (patch_h, patch_w) + self.map_canvas_size = (canvas_h, canvas_w) + + def __call__(self, results): + vectors = results['vectors'] + for vector in vectors: + vector['pts'] = vector['pts'][:, :2] + + semantic_masks, instance_masks, forward_masks, backward_masks = preprocess_map( + vectors, self.map_patch_size, self.map_canvas_size, self.map_max_channel, self.map_thickness, self.map_angle_class) + + semantic_masks = semantic_masks.numpy() + num_cls = semantic_masks.shape[0] + indices = np.arange(1, num_cls + 1).reshape(-1, 1, 1) + semantic_indices = np.sum(semantic_masks * indices, axis=0) + + results.update({ + 'semantic_map': torch.from_numpy(semantic_masks), + 'instance_map': torch.from_numpy(instance_masks), + 'semantic_indices': torch.from_numpy(semantic_indices).long(), + 'forward_direction': torch.from_numpy(forward_masks), + 'backward_direction': torch.from_numpy(backward_masks), + }) + + return results diff --git a/projects/mmdet3d_plugin/datasets/pipelines/transform_3d.py b/projects/mmdet3d_plugin/datasets/pipelines/transform_3d.py new file mode 100755 index 0000000..5f2a5de --- /dev/null +++ b/projects/mmdet3d_plugin/datasets/pipelines/transform_3d.py @@ -0,0 +1,890 @@ + +import torch +import numpy as np +from numpy import random + +import mmcv +from mmcv.parallel import DataContainer as DC +from mmdet3d.core.bbox import (CameraInstance3DBoxes, DepthInstance3DBoxes, + LiDARInstance3DBoxes) +from mmdet.datasets.builder import PIPELINES +from mmdet.datasets.pipelines import RandomFlip + +@PIPELINES.register_module() +class PadMultiViewImage(object): + """Pad the multi-view image. + There are two padding modes: (1) pad to a fixed size and (2) pad to the + minimum size that is divisible by some number. + Added keys are "pad_shape", "pad_fixed_size", "pad_size_divisor", + Args: + size (tuple, optional): Fixed padding size. + size_divisor (int, optional): The divisor of padded size. + pad_val (float, optional): Padding value, 0 by default. + """ + + def __init__(self, size=None, size_divisor=None, pad_val=0): + self.size = size + self.size_divisor = size_divisor + self.pad_val = pad_val + # only one of size and size_divisor should be valid + assert size is not None or size_divisor is not None + assert size is None or size_divisor is None + + def _pad_img(self, results): + """Pad images according to ``self.size``.""" + if self.size is not None: + padded_img = [mmcv.impad( + img, shape=self.size, pad_val=self.pad_val) for img in results['img']] + elif self.size_divisor is not None: + padded_img = [mmcv.impad_to_multiple( + img, self.size_divisor, pad_val=self.pad_val) for img in results['img']] + + results['ori_shape'] = [img.shape for img in results['img']] + results['img'] = padded_img + results['img_shape'] = [img.shape for img in padded_img] + results['pad_shape'] = [img.shape for img in padded_img] + results['pad_fixed_size'] = self.size + results['pad_size_divisor'] = self.size_divisor + + def __call__(self, results): + """Call function to pad images, masks, semantic segmentation maps. + Args: + results (dict): Result dict from loading pipeline. + Returns: + dict: Updated result dict. + """ + self._pad_img(results) + return results + + def __repr__(self): + repr_str = self.__class__.__name__ + repr_str += f'(size={self.size}, ' + repr_str += f'size_divisor={self.size_divisor}, ' + repr_str += f'pad_val={self.pad_val})' + return repr_str + + +@PIPELINES.register_module() +class NormalizeMultiviewImage(object): + """Normalize the image. + Added key is "img_norm_cfg". + Args: + mean (sequence): Mean values of 3 channels. + std (sequence): Std values of 3 channels. + to_rgb (bool): Whether to convert the image from BGR to RGB, + default is true. + """ + + def __init__(self, mean, std, to_rgb=True): + self.mean = np.array(mean, dtype=np.float32) + self.std = np.array(std, dtype=np.float32) + self.to_rgb = to_rgb + + + def __call__(self, results): + """Call function to normalize images. + Args: + results (dict): Result dict from loading pipeline. + Returns: + dict: Normalized results, 'img_norm_cfg' key is added into + result dict. + """ + + results['img'] = [mmcv.imnormalize(img, self.mean, self.std, self.to_rgb) for img in results['img']] + results['img_norm_cfg'] = dict( + mean=self.mean, std=self.std, to_rgb=self.to_rgb) + return results + + def __repr__(self): + repr_str = self.__class__.__name__ + repr_str += f'(mean={self.mean}, std={self.std}, to_rgb={self.to_rgb})' + return repr_str + + +@PIPELINES.register_module() +class PhotoMetricDistortionMultiViewImage: + """Apply photometric distortion to image sequentially, every transformation + is applied with a probability of 0.5. The position of random contrast is in + second or second to last. + 1. random brightness + 2. random contrast (mode 0) + 3. convert color from BGR to HSV + 4. random saturation + 5. random hue + 6. convert color from HSV to BGR + 7. random contrast (mode 1) + 8. randomly swap channels + Args: + brightness_delta (int): delta of brightness. + contrast_range (tuple): range of contrast. + saturation_range (tuple): range of saturation. + hue_delta (int): delta of hue. + """ + + def __init__(self, + brightness_delta=32, + contrast_range=(0.5, 1.5), + saturation_range=(0.5, 1.5), + hue_delta=18): + self.brightness_delta = brightness_delta + self.contrast_lower, self.contrast_upper = contrast_range + self.saturation_lower, self.saturation_upper = saturation_range + self.hue_delta = hue_delta + + def __call__(self, results): + """Call function to perform photometric distortion on images. + Args: + results (dict): Result dict from loading pipeline. + Returns: + dict: Result dict with images distorted. + """ + imgs = results['img'] + new_imgs = [] + for img in imgs: + assert img.dtype == np.float32, \ + 'PhotoMetricDistortion needs the input image of dtype np.float32,'\ + ' please set "to_float32=True" in "LoadImageFromFile" pipeline' + # random brightness + if random.randint(2): + delta = random.uniform(-self.brightness_delta, + self.brightness_delta) + img += delta + + # mode == 0 --> do random contrast first + # mode == 1 --> do random contrast last + mode = random.randint(2) + if mode == 1: + if random.randint(2): + alpha = random.uniform(self.contrast_lower, + self.contrast_upper) + img *= alpha + + # convert color from BGR to HSV + img = mmcv.bgr2hsv(img) + + # random saturation + if random.randint(2): + img[..., 1] *= random.uniform(self.saturation_lower, + self.saturation_upper) + + # random hue + if random.randint(2): + img[..., 0] += random.uniform(-self.hue_delta, self.hue_delta) + img[..., 0][img[..., 0] > 360] -= 360 + img[..., 0][img[..., 0] < 0] += 360 + + # convert color from HSV to BGR + img = mmcv.hsv2bgr(img) + + # random contrast + if mode == 0: + if random.randint(2): + alpha = random.uniform(self.contrast_lower, + self.contrast_upper) + img *= alpha + + # randomly swap channels + if random.randint(2): + img = img[..., random.permutation(3)] + new_imgs.append(img) + results['img'] = new_imgs + return results + + def __repr__(self): + repr_str = self.__class__.__name__ + repr_str += f'(\nbrightness_delta={self.brightness_delta},\n' + repr_str += 'contrast_range=' + repr_str += f'{(self.contrast_lower, self.contrast_upper)},\n' + repr_str += 'saturation_range=' + repr_str += f'{(self.saturation_lower, self.saturation_upper)},\n' + repr_str += f'hue_delta={self.hue_delta})' + return repr_str + + + +@PIPELINES.register_module() +class CustomCollect3D(object): + """Collect data from the loader relevant to the specific task. + This is usually the last stage of the data loader pipeline. Typically keys + is set to some subset of "img", "proposals", "gt_bboxes", + "gt_bboxes_ignore", "gt_labels", and/or "gt_masks". + The "img_meta" item is always populated. The contents of the "img_meta" + dictionary depends on "meta_keys". By default this includes: + - 'img_shape': shape of the image input to the network as a tuple \ + (h, w, c). Note that images may be zero padded on the \ + bottom/right if the batch tensor is larger than this shape. + - 'scale_factor': a float indicating the preprocessing scale + - 'flip': a boolean indicating if image flip transform was used + - 'filename': path to the image file + - 'ori_shape': original shape of the image as a tuple (h, w, c) + - 'pad_shape': image shape after padding + - 'lidar2img': transform from lidar to image + - 'depth2img': transform from depth to image + - 'cam2img': transform from camera to image + - 'pcd_horizontal_flip': a boolean indicating if point cloud is \ + flipped horizontally + - 'pcd_vertical_flip': a boolean indicating if point cloud is \ + flipped vertically + - 'box_mode_3d': 3D box mode + - 'box_type_3d': 3D box type + - 'img_norm_cfg': a dict of normalization information: + - mean: per channel mean subtraction + - std: per channel std divisor + - to_rgb: bool indicating if bgr was converted to rgb + - 'pcd_trans': point cloud transformations + - 'sample_idx': sample index + - 'pcd_scale_factor': point cloud scale factor + - 'pcd_rotation': rotation applied to point cloud + - 'pts_filename': path to point cloud file. + Args: + keys (Sequence[str]): Keys of results to be collected in ``data``. + meta_keys (Sequence[str], optional): Meta keys to be converted to + ``mmcv.DataContainer`` and collected in ``data[img_metas]``. + Default: ('filename', 'ori_shape', 'img_shape', 'lidar2img', + 'depth2img', 'cam2img', 'pad_shape', 'scale_factor', 'flip', + 'pcd_horizontal_flip', 'pcd_vertical_flip', 'box_mode_3d', + 'box_type_3d', 'img_norm_cfg', 'pcd_trans', + 'sample_idx', 'pcd_scale_factor', 'pcd_rotation', 'pts_filename') + """ + + def __init__(self, + keys, + meta_keys=('filename', 'ori_shape', 'img_shape', 'lidar2img', + 'depth2img', 'cam2img', 'pad_shape', + 'scale_factor', 'flip', 'pcd_horizontal_flip', + 'pcd_vertical_flip', 'box_mode_3d', 'box_type_3d', + 'img_norm_cfg', 'pcd_trans', 'sample_idx', 'prev_idx', 'next_idx', + 'pcd_scale_factor', 'pcd_rotation', 'pts_filename', + 'transformation_3d_flow', 'scene_token', + 'can_bus', + )): + self.keys = keys + self.meta_keys = meta_keys + + def __call__(self, results): + """Call function to collect keys in results. The keys in ``meta_keys`` + will be converted to :obj:`mmcv.DataContainer`. + Args: + results (dict): Result dict contains the data to collect. + Returns: + dict: The result dict contains the following keys + - keys in ``self.keys`` + - ``img_metas`` + """ + + data = {} + img_metas = {} + + for key in self.meta_keys: + if key in results: + img_metas[key] = results[key] + + data['img_metas'] = DC(img_metas, cpu_only=True) + for key in self.keys: + data[key] = results[key] + return data + + def __repr__(self): + """str: Return a string that describes the module.""" + return self.__class__.__name__ + \ + f'(keys={self.keys}, meta_keys={self.meta_keys})' + + + +@PIPELINES.register_module() +class RandomScaleImageMultiViewImage(object): + """Random scale the image + Args: + scales + """ + + def __init__(self, scales=[]): + self.scales = scales + assert len(self.scales)==1 + + def __call__(self, results): + """Call function to pad images, masks, semantic segmentation maps. + Args: + results (dict): Result dict from loading pipeline. + Returns: + dict: Updated result dict. + """ + rand_ind = np.random.permutation(range(len(self.scales)))[0] + rand_scale = self.scales[rand_ind] + + y_size = [int(img.shape[0] * rand_scale) for img in results['img']] + x_size = [int(img.shape[1] * rand_scale) for img in results['img']] + scale_factor = np.eye(4) + scale_factor[0, 0] *= rand_scale + scale_factor[1, 1] *= rand_scale + results['img'] = [mmcv.imresize(img, (x_size[idx], y_size[idx]), return_scale=False) for idx, img in + enumerate(results['img'])] + lidar2img = [scale_factor @ l2i for l2i in results['lidar2img']] + results['lidar2img'] = lidar2img + results['img_shape'] = [img.shape for img in results['img']] + results['ori_shape'] = [img.shape for img in results['img']] + + return results + + + def __repr__(self): + repr_str = self.__class__.__name__ + repr_str += f'(size={self.scales}, ' + return repr_str + + + +@PIPELINES.register_module() +class MTLRandomFlip3D(RandomFlip): + """Flip the points & bbox. + + If the input dict contains the key "flip", then the flag will be used, + otherwise it will be randomly decided by a ratio specified in the init + method. + + Args: + sync_2d (bool, optional): Whether to apply flip according to the 2D + images. If True, it will apply the same flip as that to 2D images. + If False, it will decide whether to flip randomly and independently + to that of 2D images. Defaults to True. + flip_ratio_bev_horizontal (float, optional): The flipping probability + in horizontal direction. Defaults to 0.0. + flip_ratio_bev_vertical (float, optional): The flipping probability + in vertical direction. Defaults to 0.0. + """ + + def __init__(self, + sync_2d=True, + flip_ratio_bev_horizontal=0.0, + flip_ratio_bev_vertical=0.0, + update_img2lidar=False, + **kwargs): + super(MTLRandomFlip3D, self).__init__( + flip_ratio=flip_ratio_bev_horizontal, **kwargs) + + self.sync_2d = sync_2d + self.flip_ratio_bev_vertical = flip_ratio_bev_vertical + if flip_ratio_bev_horizontal is not None: + assert isinstance( + flip_ratio_bev_horizontal, + (int, float)) and 0 <= flip_ratio_bev_horizontal <= 1 + if flip_ratio_bev_vertical is not None: + assert isinstance( + flip_ratio_bev_vertical, + (int, float)) and 0 <= flip_ratio_bev_vertical <= 1 + self.update_img2lidar = update_img2lidar + + def random_flip_data_3d(self, input_dict, direction='horizontal'): + """Flip 3D data randomly. + + Args: + input_dict (dict): Result dict from loading pipeline. + direction (str): Flip direction. Default: horizontal. + + Returns: + dict: Flipped results, 'points', 'bbox3d_fields' keys are \ + updated in the result dict. + """ + assert direction in ['horizontal', 'vertical'] + + if len(input_dict['bbox3d_fields']) == 0: # test mode + input_dict['bbox3d_fields'].append('empty_box3d') + input_dict['empty_box3d'] = input_dict['box_type_3d']( + np.array([], dtype=np.float32)) + + assert len(input_dict['bbox3d_fields']) == 1 + + for key in input_dict['bbox3d_fields']: + # flip bounding boxes for each frame + for frame in range(len(input_dict[key])): + if input_dict[key][frame] is not None: + input_dict[key][frame].flip(direction) + + # flip map vectors + if direction == 'horizontal': + for vector in input_dict['vectors']: + vector['pts'] = vector['pts'] * \ + np.array([1, -1, 1]).reshape(1, 3) + + elif direction == 'vertical': + for vector in input_dict['vectors']: + vector['pts'] = vector['pts'] * \ + np.array([-1, 1, 1]).reshape(1, 3) + + else: + raise ValueError + + if 'centers2d' in input_dict: + assert self.sync_2d is True and direction == 'horizontal', \ + 'Only support sync_2d=True and horizontal flip with images' + w = input_dict['ori_shape'][1] + input_dict['centers2d'][..., 0] = \ + w - input_dict['centers2d'][..., 0] + # need to modify the horizontal position of camera center + # along u-axis in the image (flip like centers2d) + # ['cam2img'][0][2] = c_u + # see more details and examples at + # https://github.com/open-mmlab/mmdetection3d/pull/744 + input_dict['cam2img'][0][2] = w - input_dict['cam2img'][0][2] + + def update_transform(self, input_dict): + transform = torch.zeros( + (*input_dict['img_inputs'][1].shape[:-2], 4, 4)).float() + + transform[..., :3, :3] = input_dict['img_inputs'][1] + transform[..., :3, -1] = input_dict['img_inputs'][2] + transform[..., -1, -1] = 1.0 + + aug_transform = torch.eye(4).float() + if input_dict['pcd_horizontal_flip']: + aug_transform[1, 1] = -1 + if input_dict['pcd_vertical_flip']: + aug_transform[0, 0] = -1 + + aug_transform = aug_transform.view(1, 1, 4, 4) + new_transform = aug_transform.matmul(transform) + + input_dict['img_inputs'][1][...] = new_transform[..., :3, :3] + input_dict['img_inputs'][2][...] = new_transform[..., :3, -1] + input_dict['aug_transform'] = aug_transform[0, 0].matmul( + input_dict['aug_transform']) + + def __call__(self, input_dict): + """Call function to flip points, values in the ``bbox3d_fields`` and \ + also flip 2D image and its annotations. + + Args: + input_dict (dict): Result dict from loading pipeline. + + Returns: + dict: Flipped results, 'flip', 'flip_direction', \ + 'pcd_horizontal_flip' and 'pcd_vertical_flip' keys are added \ + into result dict. + """ + # filp 2D image and its annotations + super(MTLRandomFlip3D, self).__call__(input_dict) + + if self.sync_2d: + input_dict['pcd_horizontal_flip'] = input_dict['flip'] + input_dict['pcd_vertical_flip'] = False + else: + if 'pcd_horizontal_flip' not in input_dict: + flip_horizontal = True if np.random.rand( + ) < self.flip_ratio else False + input_dict['pcd_horizontal_flip'] = flip_horizontal + if 'pcd_vertical_flip' not in input_dict: + flip_vertical = True if np.random.rand( + ) < self.flip_ratio_bev_vertical else False + input_dict['pcd_vertical_flip'] = flip_vertical + + if 'transformation_3d_flow' not in input_dict: + input_dict['transformation_3d_flow'] = [] + + if input_dict['pcd_horizontal_flip']: + self.random_flip_data_3d(input_dict, 'horizontal') + input_dict['transformation_3d_flow'].extend(['HF']) + + if input_dict['pcd_vertical_flip']: + self.random_flip_data_3d(input_dict, 'vertical') + input_dict['transformation_3d_flow'].extend(['VF']) + + if 'img_inputs' in input_dict: + assert self.update_img2lidar + self.update_transform(input_dict) + + return input_dict + + def __repr__(self): + """str: Return a string that describes the module.""" + repr_str = self.__class__.__name__ + repr_str += f'(sync_2d={self.sync_2d},' + repr_str += f' flip_ratio_bev_vertical={self.flip_ratio_bev_vertical})' + return repr_str + + +@PIPELINES.register_module() +class MTLGlobalRotScaleTrans(object): + """Apply global rotation, scaling and translation to a 3D scene. + + Args: + rot_range (list[float]): Range of rotation angle. + Defaults to [-0.78539816, 0.78539816] (close to [-pi/4, pi/4]). + scale_ratio_range (list[float]): Range of scale ratio. + Defaults to [0.95, 1.05]. + translation_std (list[float]): The standard deviation of translation + noise. This applies random translation to a scene by a noise, which + is sampled from a gaussian distribution whose standard deviation + is set by ``translation_std``. Defaults to [0, 0, 0] + shift_height (bool): Whether to shift height. + (the fourth dimension of indoor points) when scaling. + Defaults to False. + """ + + def __init__(self, + rot_range=[-0.78539816, 0.78539816], + scale_ratio_range=[0.95, 1.05], + translation_std=[0, 0, 0], + shift_height=False, + update_img2lidar=False): + seq_types = (list, tuple, np.ndarray) + if not isinstance(rot_range, seq_types): + assert isinstance(rot_range, (int, float)), \ + f'unsupported rot_range type {type(rot_range)}' + rot_range = [-rot_range, rot_range] + self.rot_range = rot_range + + assert isinstance(scale_ratio_range, seq_types), \ + f'unsupported scale_ratio_range type {type(scale_ratio_range)}' + self.scale_ratio_range = scale_ratio_range + + if not isinstance(translation_std, seq_types): + assert isinstance(translation_std, (int, float)), \ + f'unsupported translation_std type {type(translation_std)}' + translation_std = [ + translation_std, translation_std, translation_std + ] + assert all([std >= 0 for std in translation_std]), \ + 'translation_std should be positive' + self.translation_std = translation_std + self.shift_height = shift_height + self.update_img2lidar = update_img2lidar + + def _trans_bbox_points(self, input_dict): + """Private function to translate bounding boxes and points. + + Args: + input_dict (dict): Result dict from loading pipeline. + + Returns: + dict: Results after translation, 'points', 'pcd_trans' \ + and keys in input_dict['bbox3d_fields'] are updated \ + in the result dict. + """ + translation_std = np.array(self.translation_std, dtype=np.float32) + trans_factor = np.random.normal(scale=translation_std, size=3).T + input_dict['pcd_trans'] = trans_factor + + for key in input_dict['bbox3d_fields']: + for frame in range(len(input_dict[key])): + if input_dict[key][frame] is not None: + input_dict[key][frame].translate(trans_factor) + + for vector in input_dict['vectors']: + vector['pts'] = vector['pts'] + trans_factor.reshape(1, 3) + + def _rot_bbox_points(self, input_dict): + """Private function to rotate bounding boxes and points. + + Args: + input_dict (dict): Result dict from loading pipeline. + + Returns: + dict: Results after rotation, 'points', 'pcd_rotation' \ + and keys in input_dict['bbox3d_fields'] are updated \ + in the result dict. + """ + rotation = self.rot_range + noise_rotation = np.random.uniform(rotation[0], rotation[1]) + + # if no bbox in input_dict, only rotate points + if len(input_dict['bbox3d_fields']) == 0: + raise ValueError + + # rotate points with bboxes + for key in input_dict['bbox3d_fields']: + # rotate each frame + for frame in range(len(input_dict[key])): + if input_dict[key][frame] is not None and len(input_dict[key][frame].tensor) > 0: + points, rot_mat_T = input_dict[key][frame].rotate( + noise_rotation, input_dict['points']) + + input_dict['points'] = points + input_dict['pcd_rotation'] = rot_mat_T + + # rotate map vectors + for vector in input_dict['vectors']: + vector['pts'] = np.dot( + vector['pts'], input_dict['pcd_rotation'].numpy()) + + def robust_rot_bbox_points(self, input_dict): + rotation = self.rot_range + noise_rotation = np.random.uniform(rotation[0], rotation[1]) + + angle = torch.tensor(noise_rotation) + rot_sin = torch.sin(angle) + rot_cos = torch.cos(angle) + rot_mat_T = torch.tensor([[rot_cos, -rot_sin, 0], + [rot_sin, rot_cos, 0], + [0, 0, 1]]) + input_dict['pcd_rotation'] = rot_mat_T + + # rotate points with bboxes + for key in input_dict['bbox3d_fields']: + # rotate each frame + for frame in range(len(input_dict[key])): + if input_dict[key][frame] is not None and len(input_dict[key][frame].tensor) > 0: + input_dict[key][frame].rotate(rot_mat_T) + + # rotate map vectors + for vector in input_dict['vectors']: + vector['pts'] = np.dot( + vector['pts'], input_dict['pcd_rotation'].numpy()) + + def _scale_bbox_points(self, input_dict): + """Private function to scale bounding boxes and points. + + Args: + input_dict (dict): Result dict from loading pipeline. + + Returns: + dict: Results after scaling, 'points'and keys in \ + input_dict['bbox3d_fields'] are updated in the result dict. + """ + scale = input_dict['pcd_scale_factor'] + + for key in input_dict['bbox3d_fields']: + # scale each frame + for frame in range(len(input_dict[key])): + if input_dict[key][frame] is not None: + input_dict[key][frame].scale(scale) + + for vector in input_dict['vectors']: + vector['pts'] = vector['pts'] * scale + + def _random_scale(self, input_dict): + """Private function to randomly set the scale factor. + + Args: + input_dict (dict): Result dict from loading pipeline. + + Returns: + dict: Results after scaling, 'pcd_scale_factor' are updated \ + in the result dict. + """ + scale_factor = np.random.uniform(self.scale_ratio_range[0], + self.scale_ratio_range[1]) + input_dict['pcd_scale_factor'] = scale_factor + + def update_transform(self, input_dict): + # img_inputs: imgs, rots, trans, intrins, post_rots, post_trans + + # generate transform matrices, [batch, num_cam, 4, 4] + transfroms = torch.zeros( + (*input_dict['img_inputs'][1].shape[:-2], 4, 4)).float() + transfroms[..., :3, :3] = input_dict['img_inputs'][1] + transfroms[..., :3, -1] = input_dict['img_inputs'][2] + transfroms[..., -1, -1] = 1.0 + input_dict['extrinsics'] = transfroms + + aug_transforms = torch.zeros_like(transfroms).float() + if 'pcd_rotation' in input_dict: + aug_transforms[..., :3, :3] = input_dict['pcd_rotation'].T * \ + input_dict['pcd_scale_factor'] + else: + aug_transforms[..., :3, :3] = torch.eye(3).view( + 1, 1, 3, 3) * input_dict['pcd_scale_factor'] + + aug_transforms[..., :3, - + 1] = torch.from_numpy(input_dict['pcd_trans']).reshape(1, 3) + aug_transforms[..., -1, -1] = 1.0 + new_transform = aug_transforms.matmul(transfroms) + + input_dict['img_inputs'][1][...] = new_transform[..., :3, :3] + input_dict['img_inputs'][2][...] = new_transform[..., :3, -1] + input_dict['aug_transform'] = aug_transforms[0, 0] + + def __call__(self, input_dict): + """Private function to rotate, scale and translate bounding boxes and \ + points. + + Args: + input_dict (dict): Result dict from loading pipeline. + + Returns: + dict: Results after scaling, 'points', 'pcd_rotation', + 'pcd_scale_factor', 'pcd_trans' and keys in \ + input_dict['bbox3d_fields'] are updated in the result dict. + """ + if 'transformation_3d_flow' not in input_dict: + input_dict['transformation_3d_flow'] = [] + + # rotate + # self._rot_bbox_points(input_dict) + self.robust_rot_bbox_points(input_dict) + + # scale + if 'pcd_scale_factor' not in input_dict: + self._random_scale(input_dict) + self._scale_bbox_points(input_dict) + + # translate + self._trans_bbox_points(input_dict) + + # updating transform + input_dict['transformation_3d_flow'].extend(['R', 'S', 'T']) + if 'img_inputs' in input_dict: + assert self.update_img2lidar + self.update_transform(input_dict) + + return input_dict + + def __repr__(self): + """str: Return a string that describes the module.""" + repr_str = self.__class__.__name__ + repr_str += f'(rot_range={self.rot_range},' + repr_str += f' scale_ratio_range={self.scale_ratio_range},' + repr_str += f' translation_std={self.translation_std},' + repr_str += f' shift_height={self.shift_height})' + + return repr_str + + +@PIPELINES.register_module() +class TemporalObjectRangeFilter(object): + """Filter objects by the range. + + Args: + point_cloud_range (list[float]): Point cloud range. + """ + + def __init__(self, point_cloud_range): + self.pcd_range = np.array(point_cloud_range, dtype=np.float32) + + def __call__(self, input_dict): + """Call function to filter objects by the range. + + Args: + input_dict (dict): Result dict from loading pipeline. + + Returns: + dict: Results after filtering, 'gt_bboxes_3d', 'gt_labels_3d' \ + keys are updated in the result dict. + """ + # Check points instance type and initialise bev_range + + if isinstance(input_dict['gt_bboxes_3d'][0], + (LiDARInstance3DBoxes, DepthInstance3DBoxes)): + bev_range = self.pcd_range[[0, 1, 3, 4]] + + elif isinstance(input_dict['gt_bboxes_3d'][0], CameraInstance3DBoxes): + bev_range = self.pcd_range[[0, 2, 3, 5]] + + gt_bboxes_3d_list = input_dict['gt_bboxes_3d'] + gt_labels_3d_list = input_dict['gt_labels_3d'] + instance_tokens_list = input_dict['instance_tokens'] + + for index, (gt_bboxes_3d, gt_labels_3d, instance_tokens) in enumerate(zip(gt_bboxes_3d_list, gt_labels_3d_list, instance_tokens_list)): + # filter each frame + if gt_bboxes_3d is not None: + mask = gt_bboxes_3d.in_range_bev(bev_range) + gt_bboxes_3d = gt_bboxes_3d[mask] + gt_bboxes_3d.limit_yaw(offset=0.5, period=2 * np.pi) + + # masking labels & tokens + np_mask = mask.numpy().astype(np.bool) + gt_labels_3d = gt_labels_3d[np_mask] + instance_tokens = instance_tokens[np_mask] + + # updating + gt_bboxes_3d_list[index] = gt_bboxes_3d + gt_labels_3d_list[index] = gt_labels_3d + instance_tokens_list[index] = instance_tokens + + input_dict['gt_bboxes_3d'] = gt_bboxes_3d_list + input_dict['gt_labels_3d'] = gt_labels_3d_list + input_dict['instance_tokens'] = instance_tokens_list + + return input_dict + + def __repr__(self): + """str: Return a string that describes the module.""" + repr_str = self.__class__.__name__ + repr_str += f'(point_cloud_range={self.pcd_range.tolist()})' + return repr_str + + +@PIPELINES.register_module() +class TemporalObjectNameFilter(object): + """Filter GT objects by their names. + + Args: + classes (list[str]): List of class names to be kept for training. + """ + + def __init__(self, classes): + self.classes = classes + self.labels = list(range(len(self.classes))) + + def __call__(self, input_dict): + """Call function to filter objects by their names. + + Args: + input_dict (dict): Result dict from loading pipeline. + + Returns: + dict: Results after filtering, 'gt_bboxes_3d', 'gt_labels_3d' \ + keys are updated in the result dict. + """ + + gt_bboxes_3d_list = input_dict['gt_bboxes_3d'] + gt_labels_3d_list = input_dict['gt_labels_3d'] + instance_tokens_list = input_dict['instance_tokens'] + + for index, (gt_bboxes_3d, gt_labels_3d, instance_tokens) in enumerate(zip(gt_bboxes_3d_list, gt_labels_3d_list, instance_tokens_list)): + if gt_labels_3d is None: + continue + + # filter each frame + gt_bboxes_mask = np.array([n in self.labels for n in gt_labels_3d], + dtype=np.bool_) + # updating + gt_bboxes_3d_list[index] = gt_bboxes_3d[gt_bboxes_mask] + gt_labels_3d_list[index] = gt_labels_3d[gt_bboxes_mask] + instance_tokens_list[index] = instance_tokens[gt_bboxes_mask] + + input_dict['gt_bboxes_3d'] = gt_bboxes_3d_list + input_dict['gt_labels_3d'] = gt_labels_3d_list + input_dict['instance_tokens'] = instance_tokens_list + + return input_dict + + def __repr__(self): + """str: Return a string that describes the module.""" + repr_str = self.__class__.__name__ + repr_str += f'(classes={self.classes})' + return repr_str + + +@PIPELINES.register_module() +class ObjectValidFilter(object): + """Filter GT objects by their names. + + Args: + classes (list[str]): List of class names to be kept for training. + """ + + def __init__(self): + pass + + def __call__(self, input_dict): + """Call function to filter objects by their names. + + Args: + input_dict (dict): Result dict from loading pipeline. + + Returns: + dict: Results after filtering, 'gt_bboxes_3d', 'gt_labels_3d' \ + keys are updated in the result dict. + """ + + valid_flag = input_dict['gt_valid_flag'] + input_dict['gt_bboxes_3d'] = input_dict['gt_bboxes_3d'][valid_flag] + input_dict['gt_labels_3d'] = input_dict['gt_labels_3d'][valid_flag] + + return input_dict + + def __repr__(self): + """str: Return a string that describes the module.""" + repr_str = self.__class__.__name__ + repr_str += f'(filter objects according to num_lidar_pts & num_radar_pts)' + return repr_str diff --git a/projects/mmdet3d_plugin/datasets/samplers/__init__.py b/projects/mmdet3d_plugin/datasets/samplers/__init__.py new file mode 100644 index 0000000..bb2a0b1 --- /dev/null +++ b/projects/mmdet3d_plugin/datasets/samplers/__init__.py @@ -0,0 +1,4 @@ +from .group_sampler import DistributedGroupSampler +from .distributed_sampler import DistributedSampler +from .sampler import SAMPLER, build_sampler + diff --git a/projects/mmdet3d_plugin/datasets/samplers/distributed_sampler.py b/projects/mmdet3d_plugin/datasets/samplers/distributed_sampler.py new file mode 100644 index 0000000..2913de9 --- /dev/null +++ b/projects/mmdet3d_plugin/datasets/samplers/distributed_sampler.py @@ -0,0 +1,41 @@ +import math + +import torch +from torch.utils.data import DistributedSampler as _DistributedSampler +from .sampler import SAMPLER + + +@SAMPLER.register_module() +class DistributedSampler(_DistributedSampler): + + def __init__(self, + dataset=None, + num_replicas=None, + rank=None, + shuffle=True, + seed=0): + super().__init__( + dataset, num_replicas=num_replicas, rank=rank, shuffle=shuffle) + # for the compatibility from PyTorch 1.3+ + self.seed = seed if seed is not None else 0 + + def __iter__(self): + # deterministically shuffle based on epoch + if self.shuffle: + assert False + else: + indices = torch.arange(len(self.dataset)).tolist() + + # add extra samples to make it evenly divisible + # in case that indices is shorter than half of total_size + indices = (indices * + math.ceil(self.total_size / len(indices)))[:self.total_size] + assert len(indices) == self.total_size + + # subsample + per_replicas = self.total_size//self.num_replicas + # indices = indices[self.rank:self.total_size:self.num_replicas] + indices = indices[self.rank*per_replicas:(self.rank+1)*per_replicas] + assert len(indices) == self.num_samples + + return iter(indices) diff --git a/projects/mmdet3d_plugin/datasets/samplers/group_sampler.py b/projects/mmdet3d_plugin/datasets/samplers/group_sampler.py new file mode 100644 index 0000000..16c59e5 --- /dev/null +++ b/projects/mmdet3d_plugin/datasets/samplers/group_sampler.py @@ -0,0 +1,110 @@ + +# Copyright (c) OpenMMLab. All rights reserved. +import math + +import numpy as np +import torch +from mmcv.runner import get_dist_info +from torch.utils.data import Sampler +from .sampler import SAMPLER +import random +from IPython import embed + + +@SAMPLER.register_module() +class DistributedGroupSampler(Sampler): + """Sampler that restricts data loading to a subset of the dataset. + It is especially useful in conjunction with + :class:`torch.nn.parallel.DistributedDataParallel`. In such case, each + process can pass a DistributedSampler instance as a DataLoader sampler, + and load a subset of the original dataset that is exclusive to it. + .. note:: + Dataset is assumed to be of constant size. + Arguments: + dataset: Dataset used for sampling. + num_replicas (optional): Number of processes participating in + distributed training. + rank (optional): Rank of the current process within num_replicas. + seed (int, optional): random seed used to shuffle the sampler if + ``shuffle=True``. This number should be identical across all + processes in the distributed group. Default: 0. + """ + + def __init__(self, + dataset, + samples_per_gpu=1, + num_replicas=None, + rank=None, + seed=0): + _rank, _num_replicas = get_dist_info() + if num_replicas is None: + num_replicas = _num_replicas + if rank is None: + rank = _rank + self.dataset = dataset + self.samples_per_gpu = samples_per_gpu + self.num_replicas = num_replicas + self.rank = rank + self.epoch = 0 + self.seed = seed if seed is not None else 0 + + assert hasattr(self.dataset, 'flag') + self.flag = self.dataset.flag + self.group_sizes = np.bincount(self.flag) + + self.num_samples = 0 + for i, j in enumerate(self.group_sizes): + self.num_samples += int( + math.ceil(self.group_sizes[i] * 1.0 / self.samples_per_gpu / + self.num_replicas)) * self.samples_per_gpu + self.total_size = self.num_samples * self.num_replicas + + def __iter__(self): + # deterministically shuffle based on epoch + g = torch.Generator() + g.manual_seed(self.epoch + self.seed) + + indices = [] + for i, size in enumerate(self.group_sizes): + if size > 0: + indice = np.where(self.flag == i)[0] + assert len(indice) == size + # add .numpy() to avoid bug when selecting indice in parrots. + # TODO: check whether torch.randperm() can be replaced by + # numpy.random.permutation(). + indice = indice[list( + torch.randperm(int(size), generator=g).numpy())].tolist() + extra = int( + math.ceil( + size * 1.0 / self.samples_per_gpu / self.num_replicas) + ) * self.samples_per_gpu * self.num_replicas - len(indice) + # pad indice + tmp = indice.copy() + for _ in range(extra // size): + indice.extend(tmp) + indice.extend(tmp[:extra % size]) + indices.extend(indice) + + assert len(indices) == self.total_size + + indices = [ + indices[j] for i in list( + torch.randperm( + len(indices) // self.samples_per_gpu, generator=g)) + for j in range(i * self.samples_per_gpu, (i + 1) * + self.samples_per_gpu) + ] + + # subsample + offset = self.num_samples * self.rank + indices = indices[offset:offset + self.num_samples] + assert len(indices) == self.num_samples + + return iter(indices) + + def __len__(self): + return self.num_samples + + def set_epoch(self, epoch): + self.epoch = epoch + diff --git a/projects/mmdet3d_plugin/datasets/samplers/sampler.py b/projects/mmdet3d_plugin/datasets/samplers/sampler.py new file mode 100644 index 0000000..1906049 --- /dev/null +++ b/projects/mmdet3d_plugin/datasets/samplers/sampler.py @@ -0,0 +1,7 @@ +from mmcv.utils.registry import Registry, build_from_cfg + +SAMPLER = Registry('sampler') + + +def build_sampler(cfg, default_args): + return build_from_cfg(cfg, SAMPLER, default_args) diff --git a/projects/mmdet3d_plugin/datasets/utils/__init__.py b/projects/mmdet3d_plugin/datasets/utils/__init__.py new file mode 100644 index 0000000..781aef3 --- /dev/null +++ b/projects/mmdet3d_plugin/datasets/utils/__init__.py @@ -0,0 +1,3 @@ +from .vector_map import VectorizedLocalMap +from .rasterize import preprocess_map +from .warper import FeatureWarper \ No newline at end of file diff --git a/projects/mmdet3d_plugin/datasets/utils/geometry.py b/projects/mmdet3d_plugin/datasets/utils/geometry.py new file mode 100644 index 0000000..8444f2b --- /dev/null +++ b/projects/mmdet3d_plugin/datasets/utils/geometry.py @@ -0,0 +1,250 @@ +import PIL +import numpy as np +import torch + +from pyquaternion import Quaternion +import pdb + + +def invert_matrix_egopose_numpy(egopose): + """ Compute the inverse transformation of a 4x4 egopose numpy matrix.""" + inverse_matrix = np.zeros((4, 4), dtype=np.float32) + rotation = egopose[:3, :3] + translation = egopose[:3, 3] + inverse_matrix[:3, :3] = rotation.T + inverse_matrix[:3, 3] = -np.dot(rotation.T, translation) + inverse_matrix[3, 3] = 1.0 + + return inverse_matrix + + +def mat2pose_vec(matrix: torch.Tensor): + """ + Converts a 4x4 pose matrix into a 6-dof pose vector + Args: + matrix (ndarray): 4x4 pose matrix + Returns: + vector (ndarray): 6-dof pose vector comprising translation components (tx, ty, tz) and + rotation components (rx, ry, rz) + """ + + # M[1, 2] = -sinx*cosy, M[2, 2] = +cosx*cosy + rotx = torch.atan2(-matrix[..., 1, 2], matrix[..., 2, 2]) + + # M[0, 2] = +siny, M[1, 2] = -sinx*cosy, M[2, 2] = +cosx*cosy + cosy = torch.sqrt(matrix[..., 1, 2] ** 2 + matrix[..., 2, 2] ** 2) + roty = torch.atan2(matrix[..., 0, 2], cosy) + + # M[0, 0] = +cosy*cosz, M[0, 1] = -cosy*sinz + rotz = torch.atan2(-matrix[..., 0, 1], matrix[..., 0, 0]) + + rotation = torch.stack((rotx, roty, rotz), dim=-1) + + # Extract translation params + translation = matrix[..., :3, 3] + return torch.cat((translation, rotation), dim=-1) + + +def euler2mat(angle: torch.Tensor): + """Convert euler angles to rotation matrix. + Reference: https://github.com/pulkitag/pycaffe-utils/blob/master/rot_utils.py#L174 + Args: + angle: rotation angle along 3 axis (in radians) [Bx3] + Returns: + Rotation matrix corresponding to the euler angles [Bx3x3] + """ + shape = angle.shape + angle = angle.view(-1, 3) + x, y, z = angle[:, 0], angle[:, 1], angle[:, 2] + + cosz = torch.cos(z) + sinz = torch.sin(z) + + zeros = torch.zeros_like(z) + ones = torch.ones_like(z) + zmat = torch.stack([cosz, -sinz, zeros, sinz, cosz, zeros, + zeros, zeros, ones], dim=1).view(-1, 3, 3) + + cosy = torch.cos(y) + siny = torch.sin(y) + + ymat = torch.stack([cosy, zeros, siny, zeros, ones, + zeros, -siny, zeros, cosy], dim=1).view(-1, 3, 3) + + cosx = torch.cos(x) + sinx = torch.sin(x) + + xmat = torch.stack([ones, zeros, zeros, zeros, cosx, - + sinx, zeros, sinx, cosx], dim=1).view(-1, 3, 3) + + rot_mat = xmat.bmm(ymat).bmm(zmat) + rot_mat = rot_mat.view(*shape[:-1], 3, 3) + return rot_mat + + +def pose_vec2mat(vec: torch.Tensor): + """ + Convert 6DoF parameters to transformation matrix. + Args: + vec: 6DoF parameters in the order of tx, ty, tz, rx, ry, rz [B,6] + Returns: + A transformation matrix [B,4,4] + """ + translation = vec[..., :3].unsqueeze(-1) # [...x3x1] + rot = vec[..., 3:].contiguous() # [...x3] + rot_mat = euler2mat(rot) # [...,3,3] + transform_mat = torch.cat([rot_mat, translation], dim=-1) # [...,3,4] + transform_mat = torch.nn.functional.pad( + transform_mat, [0, 0, 0, 1], value=0) # [...,4,4] + transform_mat[..., 3, 3] = 1.0 + return transform_mat + + +def invert_pose_matrix(x): + """ + Parameters + ---------- + x: [B, 4, 4] batch of pose matrices + + Returns + ------- + out: [B, 4, 4] batch of inverse pose matrices + """ + assert len(x.shape) == 3 and x.shape[1:] == ( + 4, 4), 'Only works for batch of pose matrices.' + + transposed_rotation = torch.transpose(x[:, :3, :3], 1, 2) + translation = x[:, :3, 3:] + + inverse_mat = torch.cat( + [transposed_rotation, -torch.bmm(transposed_rotation, translation)], dim=-1) # [B,3,4] + inverse_mat = torch.nn.functional.pad( + inverse_mat, [0, 0, 0, 1], value=0) # [B,4,4] + inverse_mat[..., 3, 3] = 1.0 + + return inverse_mat + + +def warp_features(x, flow, mode='nearest', spatial_extent=None): + """ Applies a rotation and translation to feature map x. + Args: + x: (b, c, h, w) feature map + flow: (b, 6) 6DoF vector (only uses the xy poriton) + mode: use 'nearest' when dealing with categorical inputs + Returns: + in plane transformed feature map + """ + if flow is None: + return x + b, c, h, w = x.shape + # z-rotation + angle = - flow[:, 5].clone() # torch.atan2(flow[:, 1, 0], flow[:, 0, 0]) + # x-y translation + translation = flow[:, :2].clone() # flow[:, :2, 3] + + # Normalise translation. Need to divide by how many meters is half of the image. + # because translation of 1.0 correspond to translation of half of the image. + translation[:, 0] /= spatial_extent[0] + translation[:, 1] /= spatial_extent[1] + + cos_theta = torch.cos(angle) + sin_theta = torch.sin(angle) + + # output = Rot.input + translation + # tx and ty are inverted as is the case when going from real coordinates to numpy coordinates + # translation_pos_0 -> positive value makes the image move to the left + # translation_pos_1 -> positive value makes the image move to the top + # Angle -> positive value in rad makes the image move in the trigonometric way + # transformation = torch.stack([cos_theta, -sin_theta, translation[:, 1], + # sin_theta, cos_theta, translation[:, 0]], dim=-1).view(b, 2, 3) + + transformation = torch.stack([cos_theta, -sin_theta, translation[:, 0], + sin_theta, cos_theta, -translation[:, 1]], dim=-1).view(b, 2, 3) + + # bev_flow = flow.clone() + # bev_flow[:, 2:5] = 0 + # bev_flow[:, 0] /= spatial_extent[0] + # bev_flow[:, 1] /= spatial_extent[1] + # transform_3d = pose_vec2mat(bev_flow) + # transform_bev = transform_3d[:, :2][..., [0, 1, 3]] + + # Note that a rotation will preserve distances only if height = width. Otherwise there's + # resizing going on. e.g. rotation of pi/2 of a 100x200 image will make what's in the center of the image + # elongated. + + grid = torch.nn.functional.affine_grid( + transformation, size=x.shape, align_corners=True) + warped_x = torch.nn.functional.grid_sample( + x, grid.float(), mode=mode, padding_mode='zeros', align_corners=True) + + return warped_x + + +def cumulative_warp_features(x, flow, mode='nearest', spatial_extent=None): + """ Warps a sequence of feature maps by accumulating incremental 2d flow. + + x[:, -1] remains unchanged + x[:, -2] is warped using flow[:, -2] + x[:, -3] is warped using flow[:, -3] @ flow[:, -2] + ... + x[:, 0] is warped using flow[:, 0] @ ... @ flow[:, -3] @ flow[:, -2] + + Args: + x: (b, t, c, h, w) sequence of feature maps + flow: (b, t, 6) sequence of 6 DoF pose + from t to t+1 (only uses the xy poriton) + + """ + sequence_length = x.shape[1] + if sequence_length == 1: + return x + + flow = pose_vec2mat(flow) + + out = [x[:, -1]] + cum_flow = flow[:, -2] + for t in reversed(range(sequence_length - 1)): + out.append(warp_features(x[:, t], mat2pose_vec( + cum_flow), mode=mode, spatial_extent=spatial_extent)) + # @ is the equivalent of torch.bmm + cum_flow = flow[:, t - 1] @ cum_flow + + return torch.stack(out[::-1], 1) + + +def cumulative_warp_features_reverse(x, flow, mode='nearest', spatial_extent=None, bev_transform=None): + """ Warps a sequence of feature maps by accumulating incremental 2d flow. + + x[:, 0] remains unchanged + x[:, 1] is warped using flow[:, 0].inverse() + x[:, 2] is warped using flow[:, 0].inverse() @ flow[:, 1].inverse() + ... + + Args: + x: (b, t, c, h, w) sequence of feature maps + flow: (b, t, 6) sequence of 6 DoF pose + from t to t+1 (only uses the xy poriton) + + """ + + flow = pose_vec2mat(flow) + out = [x[:, 0]] + + for i in range(1, x.shape[1]): + if i == 1: + cum_flow = invert_pose_matrix(flow[:, 0]) + else: + cum_flow = cum_flow @ invert_pose_matrix(flow[:, i - 1]) + + # cum_flow only represents the ego_motion, while bev_transform needs extra processing + if bev_transform is not None: + # points 先做 inverse_bev_transform,再做 motion 变换,再做 bev_transform + # warp_flow = bev_transform @ cum_flow @ bev_transform.inverse() + warp_flow = bev_transform.inverse() @ cum_flow @ bev_transform + else: + warp_flow = cum_flow.clone() + + out.append(warp_features(x[:, i], mat2pose_vec( + warp_flow), mode, spatial_extent=spatial_extent)) + + return torch.stack(out, 1) diff --git a/projects/mmdet3d_plugin/datasets/utils/instance.py b/projects/mmdet3d_plugin/datasets/utils/instance.py new file mode 100644 index 0000000..ba3d841 --- /dev/null +++ b/projects/mmdet3d_plugin/datasets/utils/instance.py @@ -0,0 +1,438 @@ +from typing import Tuple + +import torch +import torch.nn.functional as F +import numpy as np +from scipy.optimize import linear_sum_assignment +from .geometry import mat2pose_vec, pose_vec2mat, warp_features + +import pdb + + +def convert_instance_mask_to_center_and_offset_label(instance_img, future_egomotion, num_instances, ignore_index=255, subtract_egomotion=True, sigma=3, spatial_extent=None): + + seq_len, h, w = instance_img.shape + # heatmap + center_label = torch.zeros(seq_len, 1, h, w) + # offset from parts to centers + offset_label = ignore_index * torch.ones(seq_len, 2, h, w) + # future flow + future_displacement_label = ignore_index * torch.ones(seq_len, 2, h, w) + # x is vertical displacement, y is horizontal displacement + x, y = torch.meshgrid(torch.arange(h, dtype=torch.float), + torch.arange(w, dtype=torch.float), indexing='ij') + + if subtract_egomotion: + future_egomotion_inv = mat2pose_vec( + pose_vec2mat(future_egomotion).inverse()) + + # Compute warped instance segmentation + warped_instance_seg = {} + for t in range(1, seq_len): + # 将 t 时刻的 instance_img, 反变换回 t - 1时刻 + warped_inst_t = warp_features(instance_img[t].unsqueeze(0).unsqueeze(1).float(), + future_egomotion_inv[t - 1].unsqueeze(0), mode='nearest', + spatial_extent=spatial_extent) + warped_instance_seg[t] = warped_inst_t[0, 0] + + # Ignore id 0 which is the background + for instance_id in range(1, num_instances + 1): + prev_xc = None + prev_yc = None + prev_mask = None + for t in range(seq_len): + instance_mask = (instance_img[t] == instance_id) + if instance_mask.sum() == 0: + # this instance is not in this frame + prev_xc = None + prev_yc = None + prev_mask = None + continue + + # the Bird-Eye-View center of the instance + xc = x[instance_mask].mean().round().long() + yc = y[instance_mask].mean().round().long() + + off_x = xc - x + off_y = yc - y + g = torch.exp(-(off_x ** 2 + off_y ** 2) / sigma ** 2) + center_label[t, 0] = torch.maximum(center_label[t, 0], g) + offset_label[t, 0, instance_mask] = off_x[instance_mask] + offset_label[t, 1, instance_mask] = off_y[instance_mask] + + if prev_xc is not None: + # old method + # cur_pt = torch.stack((xc, yc)).unsqueeze(0).float() + # if subtract_egomotion: + # cur_pt = warp_points(cur_pt, future_egomotion_inv[t - 1]) + # cur_pt = cur_pt.squeeze(0) + + warped_instance_mask = warped_instance_seg[t] == instance_id + if warped_instance_mask.sum() > 0: + warped_xc = x[warped_instance_mask].mean().round() + warped_yc = y[warped_instance_mask].mean().round() + + delta_x = warped_xc - prev_xc + delta_y = warped_yc - prev_yc + future_displacement_label[t - 1, 0, prev_mask] = delta_x + future_displacement_label[t - 1, 1, prev_mask] = delta_y + + prev_xc = xc + prev_yc = yc + prev_mask = instance_mask + + return center_label, offset_label, future_displacement_label + + +def convert_instance_mask_to_center_and_offset_label_with_warper( + instance_img, + future_egomotion, + num_instances, + ignore_index=255, + subtract_egomotion=True, + sigma=3, + warper=None, + bev_transform=None, +): + + seq_len, h, w = instance_img.shape + # heatmap + center_label = torch.zeros(seq_len, 1, h, w) + # offset from parts to centers + offset_label = ignore_index * torch.ones(seq_len, 2, h, w) + # future flow + future_displacement_label = ignore_index * torch.ones(seq_len, 2, h, w) + # x is vertical displacement, y is horizontal displacement + x, y = torch.meshgrid(torch.arange(h, dtype=torch.float), + torch.arange(w, dtype=torch.float), indexing='ij') + + assert subtract_egomotion is True + # [num_seq, 4, 4] + future_egomotion_inv = pose_vec2mat(future_egomotion).inverse() + + if bev_transform is not None: + bev_transform = bev_transform.unsqueeze(0) + warp_flow = bev_transform @ future_egomotion_inv @ bev_transform.inverse() + else: + warp_flow = future_egomotion_inv.clone() + + # Compute warped instance segmentation + warped_instance_seg = {} + for t in range(1, seq_len): + # 将 t 时刻的 instance_img, 反变换回 t - 1时刻 + warped_inst_t = warper.warp_features( + instance_img[t].unsqueeze(0).unsqueeze(1).float(), + warp_flow[t - 1].unsqueeze(0), + mode='nearest', + ) + warped_instance_seg[t] = warped_inst_t[0, 0] + + # Ignore id 0 which is the background + for instance_id in range(1, num_instances + 1): + prev_xc = None + prev_yc = None + prev_mask = None + for t in range(seq_len): + instance_mask = (instance_img[t] == instance_id) + if instance_mask.sum() == 0: + # this instance is not in this frame + prev_xc = None + prev_yc = None + prev_mask = None + continue + + # the Bird-Eye-View center of the instance + xc = x[instance_mask].mean().round().long() + yc = y[instance_mask].mean().round().long() + + off_x = xc - x + off_y = yc - y + g = torch.exp(-(off_x ** 2 + off_y ** 2) / sigma ** 2) + center_label[t, 0] = torch.maximum(center_label[t, 0], g) + offset_label[t, 0, instance_mask] = off_x[instance_mask] + offset_label[t, 1, instance_mask] = off_y[instance_mask] + + if prev_xc is not None: + warped_instance_mask = warped_instance_seg[t] == instance_id + if warped_instance_mask.sum() > 0: + warped_xc = x[warped_instance_mask].mean().round() + warped_yc = y[warped_instance_mask].mean().round() + + delta_x = warped_xc - prev_xc + delta_y = warped_yc - prev_yc + future_displacement_label[t - 1, 0, prev_mask] = delta_x + future_displacement_label[t - 1, 1, prev_mask] = delta_y + + prev_xc = xc + prev_yc = yc + prev_mask = instance_mask + + return center_label, offset_label, future_displacement_label + + +def find_instance_centers(center_prediction: torch.Tensor, conf_threshold: float = 0.1, nms_kernel_size: float = 3): + assert len(center_prediction.shape) == 3 + center_prediction = F.threshold( + center_prediction, threshold=conf_threshold, value=-1) + + nms_padding = (nms_kernel_size - 1) // 2 + maxpooled_center_prediction = F.max_pool2d( + center_prediction, kernel_size=nms_kernel_size, stride=1, padding=nms_padding + ) + + # Filter all elements that are not the maximum (i.e. the center of the heatmap instance) + center_prediction[center_prediction != maxpooled_center_prediction] = -1 + return torch.nonzero(center_prediction > 0)[:, 1:] + + +def group_pixels(centers: torch.Tensor, offset_predictions: torch.Tensor) -> torch.Tensor: + width, height = offset_predictions.shape[-2:] + x_grid = ( + torch.arange(width, dtype=offset_predictions.dtype, + device=offset_predictions.device) + .view(1, width, 1) + .repeat(1, 1, height) + ) + y_grid = ( + torch.arange(height, dtype=offset_predictions.dtype, + device=offset_predictions.device) + .view(1, 1, height) + .repeat(1, width, 1) + ) + pixel_grid = torch.cat((x_grid, y_grid), dim=0) + center_locations = (pixel_grid + offset_predictions).view(2, + width * height, 1).permute(2, 1, 0) + centers = centers.view(-1, 1, 2) + + distances = torch.norm(centers - center_locations, dim=-1) + + instance_id = torch.argmin(distances, dim=0).reshape(1, width, height) + 1 + return instance_id + + +def get_instance_segmentation_and_centers( + center_predictions: torch.Tensor, + offset_predictions: torch.Tensor, + foreground_mask: torch.Tensor, + conf_threshold: float = 0.1, + nms_kernel_size: float = 3, + max_n_instance_centers: int = 100, +) -> Tuple[torch.Tensor, torch.Tensor]: + width, height = center_predictions.shape[-2:] + center_predictions = center_predictions.view(1, width, height) + offset_predictions = offset_predictions.view(2, width, height) + foreground_mask = foreground_mask.view(1, width, height) + + centers = find_instance_centers( + center_predictions, conf_threshold=conf_threshold, nms_kernel_size=nms_kernel_size) + if not len(centers): + return torch.zeros(center_predictions.shape, dtype=torch.int64, device=center_predictions.device), \ + torch.zeros((0, 2), device=centers.device) + + if len(centers) > max_n_instance_centers: + # print(f'There are a lot of detected instance centers: {centers.shape}') + centers = centers[:max_n_instance_centers].clone() + + # 每个像素位置 + 预测的 offset,分配给最近的物体 + instance_ids = group_pixels(centers, offset_predictions) + instance_seg = (instance_ids * foreground_mask.float()).long() + + # Make the indices of instance_seg consecutive + instance_seg = make_instance_seg_consecutive(instance_seg) + + return instance_seg.long(), centers + + +def update_instance_ids(instance_seg, old_ids, new_ids): + """ + Parameters + ---------- + instance_seg: torch.Tensor arbitrary shape + old_ids: 1D tensor containing the list of old ids, must be all present in instance_seg. + new_ids: 1D tensor with the new ids, aligned with old_ids + + Returns + new_instance_seg: torch.Tensor same shape as instance_seg with new ids + """ + indices = torch.arange(old_ids.max() + 1, device=instance_seg.device) + for old_id, new_id in zip(old_ids, new_ids): + indices[old_id] = new_id + + return indices[instance_seg].long() + + +def make_instance_seg_consecutive(instance_seg): + # Make the indices of instance_seg consecutive + unique_ids = torch.unique(instance_seg) + new_ids = torch.arange(len(unique_ids), device=instance_seg.device) + instance_seg = update_instance_ids(instance_seg, unique_ids, new_ids) + return instance_seg + + +def make_instance_id_temporally_consistent(pred_inst, future_flow, matching_threshold=3.0): + """ + Parameters + ---------- + pred_inst: torch.Tensor (1, seq_len, h, w) + future_flow: torch.Tensor(1, seq_len, 2, h, w) + matching_threshold: distance threshold for a match to be valid. + + Returns + ------- + consistent_instance_seg: torch.Tensor(1, seq_len, h, w) + + 1. time t. Loop over all detected instances. Use flow to compute new centers at time t+1. + 2. Store those centers + 3. time t+1. Re-identify instances by comparing position of actual centers, and flow-warped centers. + Make the labels at t+1 consistent with the matching + 4. Repeat + """ + assert pred_inst.shape[0] == 1, 'Assumes batch size = 1' + + # Initialise instance segmentations with prediction corresponding to the present + consistent_instance_seg = [pred_inst[0, 0]] + largest_instance_id = consistent_instance_seg[0].max().item() + + _, seq_len, h, w = pred_inst.shape + device = pred_inst.device + for t in range(seq_len - 1): + # Compute predicted future instance means + grid = torch.stack(torch.meshgrid( + torch.arange(h, dtype=torch.float, device=device), torch.arange( + w, dtype=torch.float, device=device), indexing='ij', + )) + + # Add future flow + grid = grid + future_flow[0, t] + warped_centers = [] + # Go through all ids, except the background + t_instance_ids = torch.unique( + consistent_instance_seg[-1])[1:].cpu().numpy() + + if len(t_instance_ids) == 0: + # No instance so nothing to update + consistent_instance_seg.append(pred_inst[0, t + 1]) + continue + + for instance_id in t_instance_ids: + instance_mask = (consistent_instance_seg[-1] == instance_id) + warped_centers.append(grid[:, instance_mask].mean(dim=1)) + warped_centers = torch.stack(warped_centers) + + # Compute actual future instance means + centers = [] + grid = torch.stack(torch.meshgrid( + torch.arange(h, dtype=torch.float, device=device), torch.arange( + w, dtype=torch.float, device=device), indexing='ij', + )) + n_instances = int(pred_inst[0, t + 1].max().item()) + + if n_instances == 0: + # No instance, so nothing to update. + consistent_instance_seg.append(pred_inst[0, t + 1]) + continue + + for instance_id in range(1, n_instances + 1): + instance_mask = (pred_inst[0, t + 1] == instance_id) + centers.append(grid[:, instance_mask].mean(dim=1)) + centers = torch.stack(centers) + + # Compute distance matrix between warped centers and actual centers + distances = torch.norm(centers.unsqueeze( + 0) - warped_centers.unsqueeze(1), dim=-1).cpu().numpy() + # outputs (row, col) with row: index in frame t, col: index in frame t+1 + # the missing ids in col must be added (correspond to new instances) + ids_t, ids_t_one = linear_sum_assignment(distances) + matching_distances = distances[ids_t, ids_t_one] + # Offset by one as id=0 is the background + ids_t += 1 + ids_t_one += 1 + + # swap ids_t with real ids. as those ids correspond to the position in the distance matrix. + id_mapping = dict( + zip(np.arange(1, len(t_instance_ids) + 1), t_instance_ids)) + ids_t = np.vectorize(id_mapping.__getitem__, otypes=[np.int64])(ids_t) + + # Filter low quality match + ids_t = ids_t[matching_distances < matching_threshold] + ids_t_one = ids_t_one[matching_distances < matching_threshold] + + # Elements that are in t+1, but weren't matched + remaining_ids = set(torch.unique( + pred_inst[0, t + 1]).cpu().numpy()).difference(set(ids_t_one)) + # remove background + remaining_ids.remove(0) + #  Set remaining_ids to a new unique id + for remaining_id in list(remaining_ids): + largest_instance_id += 1 + ids_t = np.append(ids_t, largest_instance_id) + ids_t_one = np.append(ids_t_one, remaining_id) + + consistent_instance_seg.append(update_instance_ids( + pred_inst[0, t + 1], old_ids=ids_t_one, new_ids=ids_t)) + + consistent_instance_seg = torch.stack(consistent_instance_seg).unsqueeze(0) + return consistent_instance_seg + + +def predict_instance_segmentation_and_trajectories( + output, compute_matched_centers=False, make_consistent=True, vehicles_id=1, +): + preds = output['segmentation'].detach() + preds = torch.argmax(preds, dim=2, keepdims=True) + foreground_masks = preds.squeeze(2) == vehicles_id + + batch_size, seq_len = preds.shape[:2] + pred_inst = [] + for b in range(batch_size): + pred_inst_batch = [] + for t in range(seq_len): + pred_instance_t, _ = get_instance_segmentation_and_centers( + output['instance_center'][b, t].detach(), + output['instance_offset'][b, t].detach(), + foreground_masks[b, t].detach() + ) + pred_inst_batch.append(pred_instance_t) + pred_inst.append(torch.stack(pred_inst_batch, dim=0)) + + pred_inst = torch.stack(pred_inst).squeeze(2) + + if make_consistent: + if 'instance_flow' not in output or output['instance_flow'] is None: + # print('Using zero flow because instance_future_output is None') + output['instance_flow'] = torch.zeros_like( + output['instance_offset']) + consistent_instance_seg = [] + for b in range(batch_size): + consistent_instance_seg.append( + make_instance_id_temporally_consistent(pred_inst[b:b+1], + output['instance_flow'][b:b+1].detach()) + ) + consistent_instance_seg = torch.cat(consistent_instance_seg, dim=0) + else: + consistent_instance_seg = pred_inst + + if compute_matched_centers: + assert batch_size == 1 + # Generate trajectories + matched_centers = {} + _, seq_len, h, w = consistent_instance_seg.shape + grid = torch.stack(torch.meshgrid( + torch.arange(h, dtype=torch.float, device=preds.device), + torch.arange(w, dtype=torch.float, device=preds.device), + indexing='ij', + )) + + for instance_id in torch.unique(consistent_instance_seg[0, 0])[1:].cpu().numpy(): + for t in range(seq_len): + instance_mask = consistent_instance_seg[0, t] == instance_id + if instance_mask.sum() > 0: + matched_centers[instance_id] = matched_centers.get(instance_id, []) + [ + grid[:, instance_mask].mean(dim=-1)] + + for key, value in matched_centers.items(): + matched_centers[key] = torch.stack(value).cpu().numpy()[:, ::-1] + + return consistent_instance_seg, matched_centers + + return consistent_instance_seg diff --git a/projects/mmdet3d_plugin/datasets/utils/rasterize.py b/projects/mmdet3d_plugin/datasets/utils/rasterize.py new file mode 100644 index 0000000..aeb37a6 --- /dev/null +++ b/projects/mmdet3d_plugin/datasets/utils/rasterize.py @@ -0,0 +1,164 @@ +import cv2 +import torch +import numpy as np + +from shapely import affinity +from shapely.geometry import LineString, box + + +def get_patch_coord(patch_box, patch_angle=0.0): + patch_x, patch_y, patch_h, patch_w = patch_box + + x_min = patch_x - patch_w / 2.0 + y_min = patch_y - patch_h / 2.0 + x_max = patch_x + patch_w / 2.0 + y_max = patch_y + patch_h / 2.0 + + patch = box(x_min, y_min, x_max, y_max) + patch = affinity.rotate(patch, patch_angle, origin=( + patch_x, patch_y), use_radians=False) + + return patch + + +def get_discrete_degree(vec, angle_class=36): + deg = np.mod(np.degrees(np.arctan2(vec[1], vec[0])), 360) + deg = (int(deg / (360 / angle_class) + 0.5) % angle_class) + 1 + return deg + + +def mask_for_lines(lines, mask, thickness, idx, type='index', angle_class=36): + coords = np.asarray(list(lines.coords), np.int32) + coords = coords.reshape((-1, 2)) + if len(coords) < 2: + return mask, idx + if type == 'backward': + coords = np.flip(coords, 0) + + if type == 'index': + cv2.polylines(mask, [coords], False, color=idx, thickness=thickness) + idx += 1 + else: + for i in range(len(coords) - 1): + cv2.polylines(mask, [coords[i:]], False, color=get_discrete_degree( + coords[i + 1] - coords[i], angle_class=angle_class), thickness=thickness) + return mask, idx + + +def line_geom_to_mask(layer_geom, confidence_levels, local_box, canvas_size, thickness, idx, type='index', angle_class=36): + patch_x, patch_y, patch_h, patch_w = local_box + + patch = get_patch_coord(local_box) + + canvas_h = canvas_size[0] + canvas_w = canvas_size[1] + scale_height = canvas_h / patch_h + scale_width = canvas_w / patch_w + + trans_x = -patch_x + patch_w / 2.0 + trans_y = -patch_y + patch_h / 2.0 + + map_mask = np.zeros(canvas_size, np.uint8) + + for line in layer_geom: + if isinstance(line, tuple): + line, confidence = line + else: + confidence = None + new_line = line.intersection(patch) + if not new_line.is_empty: + new_line = affinity.affine_transform( + new_line, [1.0, 0.0, 0.0, 1.0, trans_x, trans_y]) + new_line = affinity.scale( + new_line, xfact=scale_width, yfact=scale_height, origin=(0, 0)) + confidence_levels.append(confidence) + if new_line.geom_type == 'MultiLineString': + for new_single_line in new_line.geoms: + map_mask, idx = mask_for_lines( + new_single_line, map_mask, thickness, idx, type, angle_class) + else: + map_mask, idx = mask_for_lines( + new_line, map_mask, thickness, idx, type, angle_class) + return map_mask, idx + + +def overlap_filter(mask, filter_mask): + C, _, _ = mask.shape + for c in range(C-1, -1, -1): + filter = np.repeat((filter_mask[c] != 0)[None, :], c, axis=0) + mask[:c][filter] = 0 + + return mask + + +def preprocess_map(vectors, patch_size, canvas_size, max_channel, thickness, angle_class): + confidence_levels = [-1] + vector_num_list = {} + for i in range(max_channel): + vector_num_list[i] = [] + + for vector in vectors: + if vector['pts_num'] >= 2: + vector_num_list[vector['type']].append( + LineString(vector['pts'][:vector['pts_num']])) + + local_box = (0.0, 0.0, patch_size[0], patch_size[1]) + + idx = 1 + filter_masks = [] + instance_masks = [] + forward_masks = [] + backward_masks = [] + for i in range(max_channel): + map_mask, idx = line_geom_to_mask( + vector_num_list[i], confidence_levels, local_box, canvas_size, thickness, idx) + instance_masks.append(map_mask) + filter_mask, _ = line_geom_to_mask( + vector_num_list[i], confidence_levels, local_box, canvas_size, thickness + 4, 1) + filter_masks.append(filter_mask) + forward_mask, _ = line_geom_to_mask( + vector_num_list[i], confidence_levels, local_box, canvas_size, thickness, 1, type='forward', angle_class=angle_class) + forward_masks.append(forward_mask) + backward_mask, _ = line_geom_to_mask( + vector_num_list[i], confidence_levels, local_box, canvas_size, thickness, 1, type='backward', angle_class=angle_class) + backward_masks.append(backward_mask) + + filter_masks = np.stack(filter_masks) + instance_masks = np.stack(instance_masks) + forward_masks = np.stack(forward_masks) + backward_masks = np.stack(backward_masks) + + instance_masks = overlap_filter(instance_masks, filter_masks) + forward_masks = overlap_filter( + forward_masks, filter_masks).sum(0).astype('int32') + backward_masks = overlap_filter( + backward_masks, filter_masks).sum(0).astype('int32') + + semantic_masks = instance_masks != 0 + semantic_masks = torch.from_numpy(semantic_masks) + #semantic_masks = torch.cat([(~torch.any(semantic_masks, axis=0)).unsqueeze(0), semantic_masks]) + + return semantic_masks, instance_masks, forward_masks, backward_masks + + +def rasterize_map(vectors, patch_size, canvas_size, max_channel, thickness): + confidence_levels = [-1] + vector_num_list = {} + for i in range(max_channel + 1): + vector_num_list[i] = [] + + for vector in vectors: + if vector['pts_num'] >= 2: + vector_num_list[vector['type']].append( + (LineString(vector['pts'][:vector['pts_num']]), vector.get('confidence_level', 1))) + + local_box = (0.0, 0.0, patch_size[0], patch_size[1]) + + idx = 1 + masks = [] + for i in range(max_channel): + map_mask, idx = line_geom_to_mask( + vector_num_list[i], confidence_levels, local_box, canvas_size, thickness, idx) + masks.append(map_mask) + + return np.stack(masks), confidence_levels diff --git a/projects/mmdet3d_plugin/datasets/utils/vector_map.py b/projects/mmdet3d_plugin/datasets/utils/vector_map.py new file mode 100644 index 0000000..8c6160e --- /dev/null +++ b/projects/mmdet3d_plugin/datasets/utils/vector_map.py @@ -0,0 +1,270 @@ +import numpy as np +from nuscenes.map_expansion.map_api import NuScenesMap, NuScenesMapExplorer +from nuscenes.eval.common.utils import quaternion_yaw, Quaternion +from shapely import affinity, ops +from shapely.geometry import LineString, box, MultiPolygon, MultiLineString + + +class VectorizedLocalMap(object): + def __init__(self, + dataroot, + patch_size, + canvas_size, + line_classes=['road_divider', 'lane_divider'], + ped_crossing_classes=['ped_crossing'], + contour_classes=['road_segment', 'lane'], + sample_dist=1, + num_samples=250, + padding=False, + normalize=False, + fixed_num=-1, + class2label={ + 'road_divider': 0, + 'lane_divider': 0, + 'ped_crossing': 1, + 'contours': 2, + 'others': -1, + }): + ''' + Args: + fixed_num = -1 : no fixed num + ''' + super().__init__() + self.data_root = dataroot + self.MAPS = ['boston-seaport', 'singapore-hollandvillage', + 'singapore-onenorth', 'singapore-queenstown'] + self.line_classes = line_classes + self.ped_crossing_classes = ped_crossing_classes + self.polygon_classes = contour_classes + self.class2label = class2label + self.nusc_maps = {} + self.map_explorer = {} + for loc in self.MAPS: + self.nusc_maps[loc] = NuScenesMap( + dataroot=self.data_root, map_name=loc) + self.map_explorer[loc] = NuScenesMapExplorer(self.nusc_maps[loc]) + + self.patch_size = patch_size + self.canvas_size = canvas_size + self.sample_dist = sample_dist + self.num_samples = num_samples + self.padding = padding + self.normalize = normalize + self.fixed_num = fixed_num + + def gen_vectorized_samples(self, location, ego2global_translation, ego2global_rotation): + map_pose = ego2global_translation[:2] + rotation = Quaternion(ego2global_rotation) + + patch_box = (map_pose[0], map_pose[1], + self.patch_size[0], self.patch_size[1]) + patch_angle = quaternion_yaw(rotation) / np.pi * 180 + + line_geom = self.get_map_geom( + patch_box, patch_angle, self.line_classes, location) + line_vector_dict = self.line_geoms_to_vectors(line_geom) + + ped_geom = self.get_map_geom( + patch_box, patch_angle, self.ped_crossing_classes, location) + # ped_vector_list = self.ped_geoms_to_vectors(ped_geom) + ped_vector_list = self.line_geoms_to_vectors(ped_geom)['ped_crossing'] + + polygon_geom = self.get_map_geom( + patch_box, patch_angle, self.polygon_classes, location) + poly_bound_list = self.poly_geoms_to_vectors(polygon_geom) + + vectors = [] + for line_type, vects in line_vector_dict.items(): + for line, length in vects: + vectors.append((line.astype(float), length, + self.class2label.get(line_type, -1))) + + for ped_line, length in ped_vector_list: + vectors.append((ped_line.astype(float), length, + self.class2label.get('ped_crossing', -1))) + + for contour, length in poly_bound_list: + vectors.append((contour.astype(float), length, + self.class2label.get('contours', -1))) + + # filter out -1 + filtered_vectors = [] + for pts, pts_num, type in vectors: + if type != -1: + filtered_vectors.append({ + 'pts': pts, + 'pts_num': pts_num, + 'type': type + }) + + return filtered_vectors + + def get_map_geom(self, patch_box, patch_angle, layer_names, location): + map_geom = [] + for layer_name in layer_names: + if layer_name in self.line_classes: + geoms = self.map_explorer[location]._get_layer_line( + patch_box, patch_angle, layer_name) + map_geom.append((layer_name, geoms)) + elif layer_name in self.polygon_classes: + geoms = self.map_explorer[location]._get_layer_polygon( + patch_box, patch_angle, layer_name) + map_geom.append((layer_name, geoms)) + elif layer_name in self.ped_crossing_classes: + geoms = self.get_ped_crossing_line( + patch_box, patch_angle, location) + # geoms = self.map_explorer[location]._get_layer_polygon(patch_box, patch_angle, layer_name) + map_geom.append((layer_name, geoms)) + return map_geom + + def _one_type_line_geom_to_vectors(self, line_geom): + line_vectors = [] + for line in line_geom: + if not line.is_empty: + if line.geom_type == 'MultiLineString': + for l in line.geoms: + line_vectors.append(self.sample_pts_from_line(l)) + elif line.geom_type == 'LineString': + line_vectors.append(self.sample_pts_from_line(line)) + else: + raise NotImplementedError + return line_vectors + + def poly_geoms_to_vectors(self, polygon_geom): + roads = polygon_geom[0][1] + lanes = polygon_geom[1][1] + union_roads = ops.unary_union(roads) + union_lanes = ops.unary_union(lanes) + union_segments = ops.unary_union([union_roads, union_lanes]) + max_x = self.patch_size[1] / 2 + max_y = self.patch_size[0] / 2 + local_patch = box(-max_x + 0.2, -max_y + 0.2, max_x - 0.2, max_y - 0.2) + exteriors = [] + interiors = [] + if union_segments.geom_type != 'MultiPolygon': + union_segments = MultiPolygon([union_segments]) + for poly in union_segments.geoms: + exteriors.append(poly.exterior) + for inter in poly.interiors: + interiors.append(inter) + + results = [] + for ext in exteriors: + if ext.is_ccw: + ext.coords = list(ext.coords)[::-1] + lines = ext.intersection(local_patch) + if isinstance(lines, MultiLineString): + lines = ops.linemerge(lines) + results.append(lines) + + for inter in interiors: + if not inter.is_ccw: + inter.coords = list(inter.coords)[::-1] + lines = inter.intersection(local_patch) + if isinstance(lines, MultiLineString): + lines = ops.linemerge(lines) + results.append(lines) + + return self._one_type_line_geom_to_vectors(results) + + def line_geoms_to_vectors(self, line_geom): + line_vectors_dict = dict() + for line_type, a_type_of_lines in line_geom: + one_type_vectors = self._one_type_line_geom_to_vectors( + a_type_of_lines) + line_vectors_dict[line_type] = one_type_vectors + + return line_vectors_dict + + def ped_geoms_to_vectors(self, ped_geom): + ped_geom = ped_geom[0][1] + union_ped = ops.unary_union(ped_geom) + if union_ped.geom_type != 'MultiPolygon': + union_ped = MultiPolygon([union_ped]) + + max_x = self.patch_size[1] / 2 + max_y = self.patch_size[0] / 2 + local_patch = box(-max_x + 0.2, -max_y + 0.2, max_x - 0.2, max_y - 0.2) + results = [] + for ped_poly in union_ped: + # rect = ped_poly.minimum_rotated_rectangle + ext = ped_poly.exterior + if not ext.is_ccw: + ext.coords = list(ext.coords)[::-1] + lines = ext.intersection(local_patch) + results.append(lines) + + return self._one_type_line_geom_to_vectors(results) + + def get_ped_crossing_line(self, patch_box, patch_angle, location): + def add_line(poly_xy, idx, patch, patch_angle, patch_x, patch_y, line_list): + points = [(p0, p1) for p0, p1 in zip( + poly_xy[0, idx:idx + 2], poly_xy[1, idx:idx + 2])] + line = LineString(points) + line = line.intersection(patch) + if not line.is_empty: + line = affinity.rotate( + line, -patch_angle, origin=(patch_x, patch_y), use_radians=False) + line = affinity.affine_transform( + line, [1.0, 0.0, 0.0, 1.0, -patch_x, -patch_y]) + line_list.append(line) + + patch_x = patch_box[0] + patch_y = patch_box[1] + + patch = NuScenesMapExplorer.get_patch_coord(patch_box, patch_angle) + line_list = [] + records = getattr(self.nusc_maps[location], 'ped_crossing') + for record in records: + polygon = self.map_explorer[location].extract_polygon( + record['polygon_token']) + poly_xy = np.array(polygon.exterior.xy) + dist = np.square(poly_xy[:, 1:] - poly_xy[:, :-1]).sum(0) + x1, x2 = np.argsort(dist)[-2:] + + add_line(poly_xy, x1, patch, patch_angle, + patch_x, patch_y, line_list) + add_line(poly_xy, x2, patch, patch_angle, + patch_x, patch_y, line_list) + + return line_list + + def sample_pts_from_line(self, line): + if self.fixed_num < 0: + distances = np.arange(0, line.length, self.sample_dist) + sampled_points = np.array([list(line.interpolate( + distance).coords) for distance in distances]).reshape(-1, 2) + else: + # fixed number of points, so distance is line.length / self.fixed_num + distances = np.linspace(0, line.length, self.fixed_num) + sampled_points = np.array([list(line.interpolate( + distance).coords) for distance in distances]).reshape(-1, 2) + + if self.normalize: + sampled_points = sampled_points / \ + np.array([self.patch_size[1], self.patch_size[0]]) + + num_valid = len(sampled_points) + + if not self.padding or self.fixed_num > 0: + # fixed num sample can return now! + return sampled_points, num_valid + + # fixed distance sampling need padding! + num_valid = len(sampled_points) + + if self.fixed_num < 0: + if num_valid < self.num_samples: + padding = np.zeros((self.num_samples - len(sampled_points), 2)) + sampled_points = np.concatenate( + [sampled_points, padding], axis=0) + else: + sampled_points = sampled_points[:self.num_samples, :] + num_valid = self.num_samples + + if self.normalize: + sampled_points = sampled_points / \ + np.array([self.patch_size[1], self.patch_size[0]]) + num_valid = len(sampled_points) + + return sampled_points, num_valid diff --git a/projects/mmdet3d_plugin/datasets/utils/warper.py b/projects/mmdet3d_plugin/datasets/utils/warper.py new file mode 100644 index 0000000..77f7b3b --- /dev/null +++ b/projects/mmdet3d_plugin/datasets/utils/warper.py @@ -0,0 +1,132 @@ +import numpy as np +import torch +import torch.nn as nn +import torch.nn.functional as F + +from pyquaternion import Quaternion +from .geometry import pose_vec2mat, mat2pose_vec, invert_pose_matrix + +def gen_dx_bx(xbound, ybound, zbound): + dx = torch.Tensor([row[2] for row in [xbound, ybound, zbound]]) + bx = torch.Tensor( + [row[0] + row[2]/2.0 for row in [xbound, ybound, zbound]]) + nx = torch.Tensor([(row[1] - row[0]) / row[2] + for row in [xbound, ybound, zbound]]) + + return dx, bx, nx + +class FeatureWarper(object): + def __init__(self, grid_conf=None, input_dim=None): + self.grid_conf = grid_conf + + # dx 间隔,bx 起始点, nx 尺寸 + dx, bx, nx = gen_dx_bx( + grid_conf['xbound'], grid_conf['ybound'], grid_conf['zbound']) + + self.dx = dx.numpy() + self.bx = bx.numpy() + self.nx = nx.long().numpy() + + self.spatial_extent = (grid_conf['xbound'][1], grid_conf['ybound'][1]) + + # generate bev meshgrid + xs = torch.linspace( + self.bx[0], self.spatial_extent[0], self.nx[0], dtype=torch.float).view(1, -1) + ys = torch.linspace( + self.bx[1], self.spatial_extent[1], self.nx[1], dtype=torch.float).view(-1, 1) + + self.bev_grid = torch.stack( + (xs.expand(self.nx[1], self.nx[0]), ys.expand(self.nx[1], self.nx[0])), dim=2) + self.bev_grid = nn.Parameter(self.bev_grid, requires_grad=False) + + def warp_features(self, x, flow, mode='nearest'): + """ Applies a rotation and translation to feature map x. + Args: + x: (b, c, h, w) feature map + flow: (b, 6) 6DoF vector (only uses the xy poriton) + mode: use 'nearest' when dealing with categorical inputs + Returns: + in plane transformed feature map + """ + + # transform coordinates + flow = flow.float().inverse() + # [b, 2, 3] + xy_flow = flow[..., :2, [0, 1, 3]] + # [h, w, 3, 1] + points = torch.cat( + (self.bev_grid, torch.ones_like(self.bev_grid)[..., :1]), dim=-1).unsqueeze(-1) + + # [b, 1, 1, 2, 3] @ [1, h, w, 3, 1] ==> [b, h, w, 2, 1] + trans_points = xy_flow.view(-1, 1, 1, 2, + 3) @ points.unsqueeze(0).type_as(xy_flow) + trans_points = trans_points.squeeze(-1) + + # normalize points: [b, h, w, 2] + trans_points = trans_points[..., :2] + trans_points[..., 0] /= self.spatial_extent[0] + trans_points[..., 1] /= self.spatial_extent[1] + + warped_x = F.grid_sample(x, trans_points.float(), mode=mode, + padding_mode='zeros', align_corners=True) + + return warped_x + + def cumulative_warp_features(self, x, flow, mode='nearest', bev_transform=None): + """ Warps a sequence of feature maps by accumulating incremental 2d flow. + + x[:, -1] remains unchanged + x[:, -2] is warped using flow[:, -2] + x[:, -3] is warped using flow[:, -3] @ flow[:, -2] + ... + x[:, 0] is warped using flow[:, 0] @ ... @ flow[:, -3] @ flow[:, -2] + + Args: + x: (b, t, c, h, w) sequence of feature maps + flow: (b, t, 6) sequence of 6 DoF pose + from t to t+1 (only uses the xy poriton) + """ + + sequence_length = x.shape[1] + if sequence_length == 1: + return x + + flow = pose_vec2mat(flow) + + out = [x[:, -1]] + cum_flow = flow[:, -2] + for t in reversed(range(sequence_length - 1)): + if bev_transform is not None: + warp_flow = bev_transform @ cum_flow @ bev_transform.inverse() + else: + warp_flow = cum_flow.clone() + + out.append(self.warp_features( + x[:, t], warp_flow, mode=mode)) + # @ is the equivalent of torch.bmm + cum_flow = flow[:, t - 1] @ cum_flow + + return torch.stack(out[::-1], 1) + + def cumulative_warp_features_reverse(self, x, flow, mode='nearest', bev_transform=None): + # flow vector (6 DoF) ==> flow matrix (4 x 4) + flow = pose_vec2mat(flow) + out = [x[:, 0]] + + for i in range(1, x.shape[1]): + if i == 1: + cum_flow = invert_pose_matrix(flow[:, 0]) + else: + cum_flow = cum_flow @ invert_pose_matrix(flow[:, i-1]) + + # cum_flow only represents the ego_motion, while bev_transform needs extra processing + if bev_transform is not None: + # points 先做 inverse_bev_transform,再做 motion 变换,再做 bev_transform + # warp_flow = bev_transform @ cum_flow @ bev_transform.inverse() + warp_flow = bev_transform @ cum_flow @ bev_transform.inverse() + else: + warp_flow = cum_flow.clone() + + out.append(self.warp_features(x[:, i], warp_flow, mode)) + + return torch.stack(out, 1) diff --git a/projects/mmdet3d_plugin/metrics/__init__.py b/projects/mmdet3d_plugin/metrics/__init__.py new file mode 100644 index 0000000..f65f018 --- /dev/null +++ b/projects/mmdet3d_plugin/metrics/__init__.py @@ -0,0 +1 @@ +from .metrics import IntersectionOverUnion, PanopticMetric diff --git a/projects/mmdet3d_plugin/metrics/metrics.py b/projects/mmdet3d_plugin/metrics/metrics.py new file mode 100644 index 0000000..f542fc0 --- /dev/null +++ b/projects/mmdet3d_plugin/metrics/metrics.py @@ -0,0 +1,283 @@ +import torch +import mmcv +import tempfile +import torch.distributed as dist +import os.path as osp +import shutil + +from typing import Optional +from torchmetrics.metric import Metric +from torchmetrics.functional.classification import stat_scores +from mmcv.runner import get_dist_info +import pdb + + +class IntersectionOverUnion(Metric): + """Computes intersection-over-union.""" + + def __init__( + self, + n_classes: int, + ignore_index: Optional[int] = None, + absent_score: float = 0.0, + reduction: str = 'none', + compute_on_step: bool = False, + ): + super().__init__(compute_on_step=compute_on_step) + + self.n_classes = n_classes + self.ignore_index = ignore_index + self.absent_score = absent_score + self.reduction = reduction + + self.add_state('true_positive', default=torch.zeros( + n_classes), dist_reduce_fx='sum') + self.add_state('false_positive', default=torch.zeros( + n_classes), dist_reduce_fx='sum') + self.add_state('false_negative', default=torch.zeros( + n_classes), dist_reduce_fx='sum') + self.add_state('support', default=torch.zeros( + n_classes), dist_reduce_fx='sum') + + def update(self, prediction: torch.Tensor, target: torch.Tensor): + tps, fps, _, fns, sups = stat_scores( + prediction, target, num_classes=self.n_classes, reduce='macro', mdmc_reduce='global').t() + self.true_positive += tps + self.false_positive += fps + self.false_negative += fns + self.support += sups + + def compute(self): + scores = torch.zeros( + self.n_classes, device=self.true_positive.device, dtype=torch.float32) + + for class_idx in range(self.n_classes): + if class_idx == self.ignore_index: + continue + + tp = self.true_positive[class_idx] + fp = self.false_positive[class_idx] + fn = self.false_negative[class_idx] + sup = self.support[class_idx] + + # If this class is absent in the target (no support) AND absent in the pred (no true or false + # positives), then use the absent_score for this class. + if sup + tp + fp == 0: + scores[class_idx] = self.absent_score + continue + + denominator = tp + fp + fn + score = tp.to(torch.float) / denominator + scores[class_idx] = score + + # Remove the ignored class index from the scores. + if (self.ignore_index is not None) and (0 <= self.ignore_index < self.n_classes): + scores = torch.cat([scores[:self.ignore_index], + scores[self.ignore_index+1:]]) + + return scores + + +class PanopticMetric(Metric): + def __init__( + self, + n_classes: int, + temporally_consistent: bool = True, + vehicles_id: int = 1, + compute_on_step: bool = False, + ): + super().__init__(compute_on_step=compute_on_step) + + self.n_classes = n_classes + self.temporally_consistent = temporally_consistent + self.vehicles_id = vehicles_id + self.keys = ['iou', 'true_positive', + 'false_positive', 'false_negative'] + + self.add_state('iou', default=torch.zeros( + n_classes), dist_reduce_fx='sum') + self.add_state('true_positive', default=torch.zeros( + n_classes), dist_reduce_fx='sum') + self.add_state('false_positive', default=torch.zeros( + n_classes), dist_reduce_fx='sum') + self.add_state('false_negative', default=torch.zeros( + n_classes), dist_reduce_fx='sum') + + def update(self, pred_instance, gt_instance): + """ + Update state with predictions and targets. + + Parameters + ---------- + pred_instance: (b, s, h, w) + Temporally consistent instance segmentation prediction. + gt_instance: (b, s, h, w) + Ground truth instance segmentation. + """ + batch_size, sequence_length = gt_instance.shape[:2] + # Process labels + assert gt_instance.min() == 0, 'ID 0 of gt_instance must be background' + pred_segmentation = (pred_instance > 0).long() + gt_segmentation = (gt_instance > 0).long() + + for b in range(batch_size): + unique_id_mapping = {} + for t in range(sequence_length): + result = self.panoptic_metrics( + pred_segmentation[b, t].detach(), + pred_instance[b, t].detach(), + gt_segmentation[b, t], + gt_instance[b, t], + unique_id_mapping, + ) + + self.iou += result['iou'] + self.true_positive += result['true_positive'] + self.false_positive += result['false_positive'] + self.false_negative += result['false_negative'] + + def compute(self): + denominator = torch.maximum( + (self.true_positive + self.false_positive / 2 + self.false_negative / 2), + torch.ones_like(self.true_positive) + ) + pq = self.iou / denominator + sq = self.iou / \ + torch.maximum(self.true_positive, + torch.ones_like(self.true_positive)) + rq = self.true_positive / denominator + + return {'pq': pq, + 'sq': sq, + 'rq': rq, + # If 0, it means there wasn't any detection. + 'denominator': (self.true_positive + self.false_positive / 2 + self.false_negative / 2), + } + + def panoptic_metrics(self, pred_segmentation, pred_instance, gt_segmentation, gt_instance, unique_id_mapping): + """ + Computes panoptic quality metric components. + + Parameters + ---------- + pred_segmentation: [H, W] range {0, ..., n_classes-1} (>= n_classes is void) + pred_instance: [H, W] range {0, ..., n_instances} (zero means background) + gt_segmentation: [H, W] range {0, ..., n_classes-1} (>= n_classes is void) + gt_instance: [H, W] range {0, ..., n_instances} (zero means background) + unique_id_mapping: instance id mapping to check consistency + """ + n_classes = self.n_classes + + result = {key: torch.zeros( + n_classes, dtype=torch.float32, device=gt_instance.device) for key in self.keys} + + assert pred_segmentation.dim() == 2 + assert pred_segmentation.shape == pred_instance.shape == gt_segmentation.shape == gt_instance.shape + + n_instances = int(torch.cat([pred_instance, gt_instance]).max().item()) + n_all_things = n_instances + n_classes # Classes + instances. + n_things_and_void = n_all_things + 1 + + # Now 1 is background; 0 is void (not used). 2 is vehicle semantic class but since it overlaps with + # instances, it is not present. + # and the rest are instance ids starting from 3 + prediction, pred_to_cls = self.combine_mask( + pred_segmentation, pred_instance, n_classes, n_all_things) + target, target_to_cls = self.combine_mask( + gt_segmentation, gt_instance, n_classes, n_all_things) + + # Compute ious between all stuff and things + # hack for bincounting 2 arrays together + x = prediction + n_things_and_void * target + bincount_2d = torch.bincount( + x.long(), minlength=n_things_and_void ** 2) + if bincount_2d.shape[0] != n_things_and_void ** 2: + raise ValueError('Incorrect bincount size.') + conf = bincount_2d.reshape((n_things_and_void, n_things_and_void)) + # Drop void class + conf = conf[1:, 1:] + + # Confusion matrix contains intersections between all combinations of classes + union = conf.sum(0).unsqueeze(0) + conf.sum(1).unsqueeze(1) - conf + iou = torch.where(union > 0, (conf.float() + 1e-9) / + (union.float() + 1e-9), torch.zeros_like(union).float()) + + # In the iou matrix, first dimension is target idx, second dimension is pred idx. + # Mapping will contain a tuple that maps prediction idx to target idx for segments matched by iou. + mapping = (iou > 0.5).nonzero(as_tuple=False) + + # Check that classes match. + is_matching = pred_to_cls[mapping[:, 1] + ] == target_to_cls[mapping[:, 0]] + mapping = mapping[is_matching] + tp_mask = torch.zeros_like(conf, dtype=torch.bool) + tp_mask[mapping[:, 0], mapping[:, 1]] = True + + # First ids correspond to "stuff" i.e. semantic seg. + # Instance ids are offset accordingly + for target_id, pred_id in mapping: + cls_id = pred_to_cls[pred_id] + + if self.temporally_consistent and cls_id == self.vehicles_id: + if target_id.item() in unique_id_mapping and unique_id_mapping[target_id.item()] != pred_id.item(): + # Not temporally consistent + result['false_negative'][target_to_cls[target_id]] += 1 + result['false_positive'][pred_to_cls[pred_id]] += 1 + unique_id_mapping[target_id.item()] = pred_id.item() + continue + + result['true_positive'][cls_id] += 1 + result['iou'][cls_id] += iou[target_id][pred_id] + unique_id_mapping[target_id.item()] = pred_id.item() + + for target_id in range(n_classes, n_all_things): + # If this is a true positive do nothing. + if tp_mask[target_id, n_classes:].any(): + continue + # If this target instance didn't match with any predictions and was present set it as false negative. + if target_to_cls[target_id] != -1: + result['false_negative'][target_to_cls[target_id]] += 1 + + for pred_id in range(n_classes, n_all_things): + # If this is a true positive do nothing. + if tp_mask[n_classes:, pred_id].any(): + continue + # If this predicted instance didn't match with any prediction, set that predictions as false positive. + if pred_to_cls[pred_id] != -1 and (conf[:, pred_id] > 0).any(): + result['false_positive'][pred_to_cls[pred_id]] += 1 + + return result + + def combine_mask(self, segmentation: torch.Tensor, instance: torch.Tensor, n_classes: int, n_all_things: int): + """Shifts all things ids by num_classes and combines things and stuff into a single mask + + Returns a combined mask + a mapping from id to segmentation class. + """ + instance = instance.view(-1) + instance_mask = instance > 0 + instance = instance - 1 + n_classes + + segmentation = segmentation.clone().view(-1) + segmentation_mask = segmentation < n_classes # Remove void pixels. + + # Build an index from instance id to class id. + instance_id_to_class_tuples = torch.cat( + ( + instance[instance_mask & segmentation_mask].unsqueeze(1), + segmentation[instance_mask & segmentation_mask].unsqueeze(1), + ), + dim=1, + ) + instance_id_to_class = - \ + instance_id_to_class_tuples.new_ones((n_all_things,)) + instance_id_to_class[instance_id_to_class_tuples[:, 0] + ] = instance_id_to_class_tuples[:, 1] + instance_id_to_class[torch.arange(n_classes, device=segmentation.device)] = torch.arange( + n_classes, device=segmentation.device + ) + + segmentation[instance_mask] = instance[instance_mask] + segmentation += 1 # Shift all legit classes by 1. + segmentation[~segmentation_mask] = 0 # Shift void class to zero. + + return segmentation, instance_id_to_class diff --git a/projects/mmdet3d_plugin/models/backbones/__init__.py b/projects/mmdet3d_plugin/models/backbones/__init__.py new file mode 100755 index 0000000..cea72f5 --- /dev/null +++ b/projects/mmdet3d_plugin/models/backbones/__init__.py @@ -0,0 +1,3 @@ +from .vovnet import VoVNet + +__all__ = ['VoVNet'] \ No newline at end of file diff --git a/projects/mmdet3d_plugin/models/backbones/vovnet.py b/projects/mmdet3d_plugin/models/backbones/vovnet.py new file mode 100755 index 0000000..879d186 --- /dev/null +++ b/projects/mmdet3d_plugin/models/backbones/vovnet.py @@ -0,0 +1,375 @@ + +from collections import OrderedDict +from mmcv.runner import BaseModule +from mmdet.models.builder import BACKBONES +import torch +import torch.nn as nn +import torch.nn.functional as F +from torch.nn.modules.batchnorm import _BatchNorm + + +VoVNet19_slim_dw_eSE = { + 'stem': [64, 64, 64], + 'stage_conv_ch': [64, 80, 96, 112], + 'stage_out_ch': [112, 256, 384, 512], + "layer_per_block": 3, + "block_per_stage": [1, 1, 1, 1], + "eSE": True, + "dw": True +} + +VoVNet19_dw_eSE = { + 'stem': [64, 64, 64], + "stage_conv_ch": [128, 160, 192, 224], + "stage_out_ch": [256, 512, 768, 1024], + "layer_per_block": 3, + "block_per_stage": [1, 1, 1, 1], + "eSE": True, + "dw": True +} + +VoVNet19_slim_eSE = { + 'stem': [64, 64, 128], + 'stage_conv_ch': [64, 80, 96, 112], + 'stage_out_ch': [112, 256, 384, 512], + 'layer_per_block': 3, + 'block_per_stage': [1, 1, 1, 1], + 'eSE': True, + "dw": False +} + +VoVNet19_eSE = { + 'stem': [64, 64, 128], + "stage_conv_ch": [128, 160, 192, 224], + "stage_out_ch": [256, 512, 768, 1024], + "layer_per_block": 3, + "block_per_stage": [1, 1, 1, 1], + "eSE": True, + "dw": False +} + +VoVNet39_eSE = { + 'stem': [64, 64, 128], + "stage_conv_ch": [128, 160, 192, 224], + "stage_out_ch": [256, 512, 768, 1024], + "layer_per_block": 5, + "block_per_stage": [1, 1, 2, 2], + "eSE": True, + "dw": False +} + +VoVNet57_eSE = { + 'stem': [64, 64, 128], + "stage_conv_ch": [128, 160, 192, 224], + "stage_out_ch": [256, 512, 768, 1024], + "layer_per_block": 5, + "block_per_stage": [1, 1, 4, 3], + "eSE": True, + "dw": False +} + +VoVNet99_eSE = { + 'stem': [64, 64, 128], + "stage_conv_ch": [128, 160, 192, 224], + "stage_out_ch": [256, 512, 768, 1024], + "layer_per_block": 5, + "block_per_stage": [1, 3, 9, 3], + "eSE": True, + "dw": False +} + +_STAGE_SPECS = { + "V-19-slim-dw-eSE": VoVNet19_slim_dw_eSE, + "V-19-dw-eSE": VoVNet19_dw_eSE, + "V-19-slim-eSE": VoVNet19_slim_eSE, + "V-19-eSE": VoVNet19_eSE, + "V-39-eSE": VoVNet39_eSE, + "V-57-eSE": VoVNet57_eSE, + "V-99-eSE": VoVNet99_eSE, +} + + +def dw_conv3x3(in_channels, out_channels, module_name, postfix, stride=1, kernel_size=3, padding=1): + """3x3 convolution with padding""" + return [ + ( + '{}_{}/dw_conv3x3'.format(module_name, postfix), + nn.Conv2d( + in_channels, + out_channels, + kernel_size=kernel_size, + stride=stride, + padding=padding, + groups=out_channels, + bias=False + ) + ), + ( + '{}_{}/pw_conv1x1'.format(module_name, postfix), + nn.Conv2d(in_channels, out_channels, kernel_size=1, stride=1, padding=0, groups=1, bias=False) + ), + ('{}_{}/pw_norm'.format(module_name, postfix), nn.BatchNorm2d(out_channels)), + ('{}_{}/pw_relu'.format(module_name, postfix), nn.ReLU(inplace=True)), + ] + + +def conv3x3(in_channels, out_channels, module_name, postfix, stride=1, groups=1, kernel_size=3, padding=1): + """3x3 convolution with padding""" + return [ + ( + f"{module_name}_{postfix}/conv", + nn.Conv2d( + in_channels, + out_channels, + kernel_size=kernel_size, + stride=stride, + padding=padding, + groups=groups, + bias=False, + ), + ), + (f"{module_name}_{postfix}/norm", nn.BatchNorm2d(out_channels)), + (f"{module_name}_{postfix}/relu", nn.ReLU(inplace=True)), + ] + + +def conv1x1(in_channels, out_channels, module_name, postfix, stride=1, groups=1, kernel_size=1, padding=0): + """1x1 convolution with padding""" + return [ + ( + f"{module_name}_{postfix}/conv", + nn.Conv2d( + in_channels, + out_channels, + kernel_size=kernel_size, + stride=stride, + padding=padding, + groups=groups, + bias=False, + ), + ), + (f"{module_name}_{postfix}/norm", nn.BatchNorm2d(out_channels)), + (f"{module_name}_{postfix}/relu", nn.ReLU(inplace=True)), + ] + + +class Hsigmoid(nn.Module): + def __init__(self, inplace=True): + super(Hsigmoid, self).__init__() + self.inplace = inplace + + def forward(self, x): + return F.relu6(x + 3.0, inplace=self.inplace) / 6.0 + + +class eSEModule(nn.Module): + def __init__(self, channel, reduction=4): + super(eSEModule, self).__init__() + self.avg_pool = nn.AdaptiveAvgPool2d(1) + self.fc = nn.Conv2d(channel, channel, kernel_size=1, padding=0) + self.hsigmoid = Hsigmoid() + + def forward(self, x): + input = x + x = self.avg_pool(x) + x = self.fc(x) + x = self.hsigmoid(x) + return input * x + + +class _OSA_module(nn.Module): + def __init__( + self, in_ch, stage_ch, concat_ch, layer_per_block, module_name, SE=False, identity=False, depthwise=False + ): + + super(_OSA_module, self).__init__() + + self.identity = identity + self.depthwise = depthwise + self.isReduced = False + self.layers = nn.ModuleList() + in_channel = in_ch + if self.depthwise and in_channel != stage_ch: + self.isReduced = True + self.conv_reduction = nn.Sequential( + OrderedDict(conv1x1(in_channel, stage_ch, "{}_reduction".format(module_name), "0")) + ) + for i in range(layer_per_block): + if self.depthwise: + self.layers.append(nn.Sequential(OrderedDict(dw_conv3x3(stage_ch, stage_ch, module_name, i)))) + else: + self.layers.append(nn.Sequential(OrderedDict(conv3x3(in_channel, stage_ch, module_name, i)))) + in_channel = stage_ch + + # feature aggregation + in_channel = in_ch + layer_per_block * stage_ch + self.concat = nn.Sequential(OrderedDict(conv1x1(in_channel, concat_ch, module_name, "concat"))) + + self.ese = eSEModule(concat_ch) + + def forward(self, x): + + identity_feat = x + + output = [] + output.append(x) + if self.depthwise and self.isReduced: + x = self.conv_reduction(x) + for layer in self.layers: + x = layer(x) + output.append(x) + + x = torch.cat(output, dim=1) + xt = self.concat(x) + + xt = self.ese(xt) + + if self.identity: + xt = xt + identity_feat + + return xt + + +class _OSA_stage(nn.Sequential): + def __init__( + self, in_ch, stage_ch, concat_ch, block_per_stage, layer_per_block, stage_num, SE=False, depthwise=False + ): + + super(_OSA_stage, self).__init__() + + if not stage_num == 2: + self.add_module("Pooling", nn.MaxPool2d(kernel_size=3, stride=2, ceil_mode=True)) + + if block_per_stage != 1: + SE = False + module_name = f"OSA{stage_num}_1" + self.add_module( + module_name, _OSA_module(in_ch, stage_ch, concat_ch, layer_per_block, module_name, SE, depthwise=depthwise) + ) + for i in range(block_per_stage - 1): + if i != block_per_stage - 2: # last block + SE = False + module_name = f"OSA{stage_num}_{i + 2}" + self.add_module( + module_name, + _OSA_module( + concat_ch, + stage_ch, + concat_ch, + layer_per_block, + module_name, + SE, + identity=True, + depthwise=depthwise + ), + ) + + +@BACKBONES.register_module() +class VoVNet(BaseModule): + def __init__(self, spec_name, input_ch=3, out_features=None, + frozen_stages=-1, norm_eval=True, pretrained=None, init_cfg=None): + """ + Args: + input_ch(int) : the number of input channel + out_features (list[str]): name of the layers whose outputs should + be returned in forward. Can be anything in "stem", "stage2" ... + """ + super(VoVNet, self).__init__(init_cfg) + self.frozen_stages = frozen_stages + self.norm_eval = norm_eval + + if isinstance(pretrained, str): + warnings.warn('DeprecationWarning: pretrained is deprecated, ' + 'please use "init_cfg" instead') + self.init_cfg = dict(type='Pretrained', checkpoint=pretrained) + stage_specs = _STAGE_SPECS[spec_name] + + stem_ch = stage_specs["stem"] + config_stage_ch = stage_specs["stage_conv_ch"] + config_concat_ch = stage_specs["stage_out_ch"] + block_per_stage = stage_specs["block_per_stage"] + layer_per_block = stage_specs["layer_per_block"] + SE = stage_specs["eSE"] + depthwise = stage_specs["dw"] + + self._out_features = out_features + + # Stem module + conv_type = dw_conv3x3 if depthwise else conv3x3 + stem = conv3x3(input_ch, stem_ch[0], "stem", "1", 2) + stem += conv_type(stem_ch[0], stem_ch[1], "stem", "2", 1) + stem += conv_type(stem_ch[1], stem_ch[2], "stem", "3", 2) + self.add_module("stem", nn.Sequential((OrderedDict(stem)))) + current_stirde = 4 + self._out_feature_strides = {"stem": current_stirde, "stage2": current_stirde} + self._out_feature_channels = {"stem": stem_ch[2]} + + stem_out_ch = [stem_ch[2]] + in_ch_list = stem_out_ch + config_concat_ch[:-1] + # OSA stages + self.stage_names = [] + for i in range(4): # num_stages + name = "stage%d" % (i + 2) # stage 2 ... stage 5 + self.stage_names.append(name) + self.add_module( + name, + _OSA_stage( + in_ch_list[i], + config_stage_ch[i], + config_concat_ch[i], + block_per_stage[i], + layer_per_block, + i + 2, + SE, + depthwise, + ), + ) + + self._out_feature_channels[name] = config_concat_ch[i] + if not i == 0: + self._out_feature_strides[name] = current_stirde = int(current_stirde * 2) + + # initialize weights + # self._initialize_weights() + + def _initialize_weights(self): + for m in self.modules(): + if isinstance(m, nn.Conv2d): + nn.init.kaiming_normal_(m.weight) + + def forward(self, x): + outputs = {} + x = self.stem(x) + if "stem" in self._out_features: + outputs["stem"] = x + for name in self.stage_names: + x = getattr(self, name)(x) + if name in self._out_features: + outputs[name] = x + + return outputs + + def _freeze_stages(self): + if self.frozen_stages >= 0: + m = getattr(self, 'stem') + m.eval() + for param in m.parameters(): + param.requires_grad = False + + for i in range(1, self.frozen_stages + 1): + m = getattr(self, f'stage{i+1}') + m.eval() + for param in m.parameters(): + param.requires_grad = False + + def train(self, mode=True): + """Convert the model into training mode while keep normalization layer + freezed.""" + super(VoVNet, self).train(mode) + self._freeze_stages() + if mode and self.norm_eval: + for m in self.modules(): + # trick: eval have effect on BatchNorm only + if isinstance(m, _BatchNorm): + m.eval() \ No newline at end of file diff --git a/projects/mmdet3d_plugin/models/hooks/__init__.py b/projects/mmdet3d_plugin/models/hooks/__init__.py new file mode 100644 index 0000000..93b13c9 --- /dev/null +++ b/projects/mmdet3d_plugin/models/hooks/__init__.py @@ -0,0 +1 @@ +from .hooks import GradChecker \ No newline at end of file diff --git a/projects/mmdet3d_plugin/models/hooks/hooks.py b/projects/mmdet3d_plugin/models/hooks/hooks.py new file mode 100644 index 0000000..1e5a1c8 --- /dev/null +++ b/projects/mmdet3d_plugin/models/hooks/hooks.py @@ -0,0 +1,17 @@ +from mmcv.runner.hooks.hook import HOOKS, Hook +import os.path as osp +import torch.distributed as dist +from mmcv.runner import DistEvalHook as BaseDistEvalHook +from mmcv.runner import EvalHook as BaseEvalHook +from torch.nn.modules.batchnorm import _BatchNorm + +@HOOKS.register_module() +class GradChecker(Hook): + + def after_train_iter(self, runner): + for key, val in runner.model.named_parameters(): + if val.grad == None and val.requires_grad: + print('WARNNING: {key}\'s parameters are not be used!!!!'.format(key=key)) + + + diff --git a/projects/mmdet3d_plugin/models/opt/__init__.py b/projects/mmdet3d_plugin/models/opt/__init__.py new file mode 100644 index 0000000..c7dd426 --- /dev/null +++ b/projects/mmdet3d_plugin/models/opt/__init__.py @@ -0,0 +1 @@ +from .adamw import AdamW2 \ No newline at end of file diff --git a/projects/mmdet3d_plugin/models/opt/adamw.py b/projects/mmdet3d_plugin/models/opt/adamw.py new file mode 100644 index 0000000..c890aea --- /dev/null +++ b/projects/mmdet3d_plugin/models/opt/adamw.py @@ -0,0 +1,131 @@ +try: + from torch.optim import _functional as F +except: + print('WARNING!!!, I recommend using torch>=1.8') + +import torch +from torch.optim.optimizer import Optimizer +from mmcv.runner.optimizer.builder import OPTIMIZERS + +@OPTIMIZERS.register_module() +class AdamW2(Optimizer): + r"""Implements AdamW algorithm. Solve the bug of torch 1.8 + + The original Adam algorithm was proposed in `Adam: A Method for Stochastic Optimization`_. + The AdamW variant was proposed in `Decoupled Weight Decay Regularization`_. + + Args: + params (iterable): iterable of parameters to optimize or dicts defining + parameter groups + lr (float, optional): learning rate (default: 1e-3) + betas (Tuple[float, float], optional): coefficients used for computing + running averages of gradient and its square (default: (0.9, 0.999)) + eps (float, optional): term added to the denominator to improve + numerical stability (default: 1e-8) + weight_decay (float, optional): weight decay coefficient (default: 1e-2) + amsgrad (boolean, optional): whether to use the AMSGrad variant of this + algorithm from the paper `On the Convergence of Adam and Beyond`_ + (default: False) + + .. _Adam\: A Method for Stochastic Optimization: + https://arxiv.org/abs/1412.6980 + .. _Decoupled Weight Decay Regularization: + https://arxiv.org/abs/1711.05101 + .. _On the Convergence of Adam and Beyond: + https://openreview.net/forum?id=ryQu7f-RZ + """ + + def __init__(self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-8, + weight_decay=1e-2, amsgrad=False): + if not 0.0 <= lr: + raise ValueError("Invalid learning rate: {}".format(lr)) + if not 0.0 <= eps: + raise ValueError("Invalid epsilon value: {}".format(eps)) + if not 0.0 <= betas[0] < 1.0: + raise ValueError("Invalid beta parameter at index 0: {}".format(betas[0])) + if not 0.0 <= betas[1] < 1.0: + raise ValueError("Invalid beta parameter at index 1: {}".format(betas[1])) + if not 0.0 <= weight_decay: + raise ValueError("Invalid weight_decay value: {}".format(weight_decay)) + defaults = dict(lr=lr, betas=betas, eps=eps, + weight_decay=weight_decay, amsgrad=amsgrad) + super(AdamW2, self).__init__(params, defaults) + + def __setstate__(self, state): + super(AdamW2, self).__setstate__(state) + for group in self.param_groups: + group.setdefault('amsgrad', False) + + @torch.no_grad() + def step(self, closure=None): + """Performs a single optimization step. + + Args: + closure (callable, optional): A closure that reevaluates the model + and returns the loss. + """ + loss = None + if closure is not None: + with torch.enable_grad(): + loss = closure() + + for group in self.param_groups: + params_with_grad = [] + grads = [] + exp_avgs = [] + exp_avg_sqs = [] + state_sums = [] + max_exp_avg_sqs = [] + state_steps = [] + amsgrad = group['amsgrad'] + + # put this line here for solving bug + beta1, beta2 = group['betas'] + + for p in group['params']: + if p.grad is None: + continue + params_with_grad.append(p) + if p.grad.is_sparse: + raise RuntimeError('AdamW does not support sparse gradients') + grads.append(p.grad) + + state = self.state[p] + + # State initialization + if len(state) == 0: + state['step'] = 0 + # Exponential moving average of gradient values + state['exp_avg'] = torch.zeros_like(p, memory_format=torch.preserve_format) + # Exponential moving average of squared gradient values + state['exp_avg_sq'] = torch.zeros_like(p, memory_format=torch.preserve_format) + if amsgrad: + # Maintains max of all exp. moving avg. of sq. grad. values + state['max_exp_avg_sq'] = torch.zeros_like(p, memory_format=torch.preserve_format) + + exp_avgs.append(state['exp_avg']) + exp_avg_sqs.append(state['exp_avg_sq']) + + if amsgrad: + max_exp_avg_sqs.append(state['max_exp_avg_sq']) + + + # update the steps for each param group update + state['step'] += 1 + # record the step after step update + state_steps.append(state['step']) + + F.adamw(params_with_grad, + grads, + exp_avgs, + exp_avg_sqs, + max_exp_avg_sqs, + state_steps, + amsgrad, + beta1, + beta2, + group['lr'], + group['weight_decay'], + group['eps']) + + return loss \ No newline at end of file diff --git a/projects/mmdet3d_plugin/models/utils/__init__.py b/projects/mmdet3d_plugin/models/utils/__init__.py new file mode 100755 index 0000000..1df10c8 --- /dev/null +++ b/projects/mmdet3d_plugin/models/utils/__init__.py @@ -0,0 +1,5 @@ + +from .bricks import run_time +from .grid_mask import GridMask +from .position_embedding import RelPositionEmbedding +from .visual import save_tensor \ No newline at end of file diff --git a/projects/mmdet3d_plugin/models/utils/bricks.py b/projects/mmdet3d_plugin/models/utils/bricks.py new file mode 100644 index 0000000..fd45881 --- /dev/null +++ b/projects/mmdet3d_plugin/models/utils/bricks.py @@ -0,0 +1,20 @@ +import functools +import time +from collections import defaultdict +import torch +time_maps = defaultdict(lambda :0.) +count_maps = defaultdict(lambda :0.) +def run_time(name): + def middle(fn): + def wrapper(*args, **kwargs): + torch.cuda.synchronize() + start = time.time() + res = fn(*args, **kwargs) + torch.cuda.synchronize() + time_maps['%s : %s'%(name, fn.__name__) ] += time.time()-start + count_maps['%s : %s'%(name, fn.__name__) ] +=1 + print("%s : %s takes up %f "% (name, fn.__name__,time_maps['%s : %s'%(name, fn.__name__) ] /count_maps['%s : %s'%(name, fn.__name__) ] )) + return res + return wrapper + return middle + \ No newline at end of file diff --git a/projects/mmdet3d_plugin/models/utils/grid_mask.py b/projects/mmdet3d_plugin/models/utils/grid_mask.py new file mode 100755 index 0000000..3d04b2c --- /dev/null +++ b/projects/mmdet3d_plugin/models/utils/grid_mask.py @@ -0,0 +1,124 @@ +import torch +import torch.nn as nn +import numpy as np +from PIL import Image +from mmcv.runner import force_fp32, auto_fp16 + +class Grid(object): + def __init__(self, use_h, use_w, rotate = 1, offset=False, ratio = 0.5, mode=0, prob = 1.): + self.use_h = use_h + self.use_w = use_w + self.rotate = rotate + self.offset = offset + self.ratio = ratio + self.mode=mode + self.st_prob = prob + self.prob = prob + + def set_prob(self, epoch, max_epoch): + self.prob = self.st_prob * epoch / max_epoch + + def __call__(self, img, label): + if np.random.rand() > self.prob: + return img, label + h = img.size(1) + w = img.size(2) + self.d1 = 2 + self.d2 = min(h, w) + hh = int(1.5*h) + ww = int(1.5*w) + d = np.random.randint(self.d1, self.d2) + if self.ratio == 1: + self.l = np.random.randint(1, d) + else: + self.l = min(max(int(d*self.ratio+0.5),1),d-1) + mask = np.ones((hh, ww), np.float32) + st_h = np.random.randint(d) + st_w = np.random.randint(d) + if self.use_h: + for i in range(hh//d): + s = d*i + st_h + t = min(s+self.l, hh) + mask[s:t,:] *= 0 + if self.use_w: + for i in range(ww//d): + s = d*i + st_w + t = min(s+self.l, ww) + mask[:,s:t] *= 0 + + r = np.random.randint(self.rotate) + mask = Image.fromarray(np.uint8(mask)) + mask = mask.rotate(r) + mask = np.asarray(mask) + mask = mask[(hh-h)//2:(hh-h)//2+h, (ww-w)//2:(ww-w)//2+w] + + mask = torch.from_numpy(mask).float() + if self.mode == 1: + mask = 1-mask + + mask = mask.expand_as(img) + if self.offset: + offset = torch.from_numpy(2 * (np.random.rand(h,w) - 0.5)).float() + offset = (1 - mask) * offset + img = img * mask + offset + else: + img = img * mask + + return img, label + + +class GridMask(nn.Module): + def __init__(self, use_h, use_w, rotate = 1, offset=False, ratio = 0.5, mode=0, prob = 1.): + super(GridMask, self).__init__() + self.use_h = use_h + self.use_w = use_w + self.rotate = rotate + self.offset = offset + self.ratio = ratio + self.mode = mode + self.st_prob = prob + self.prob = prob + self.fp16_enable = False + def set_prob(self, epoch, max_epoch): + self.prob = self.st_prob * epoch / max_epoch #+ 1.#0.5 + @auto_fp16() + def forward(self, x): + if np.random.rand() > self.prob or not self.training: + return x + n,c,h,w = x.size() + x = x.view(-1,h,w) + hh = int(1.5*h) + ww = int(1.5*w) + d = np.random.randint(2, h) + self.l = min(max(int(d*self.ratio+0.5),1),d-1) + mask = np.ones((hh, ww), np.float32) + st_h = np.random.randint(d) + st_w = np.random.randint(d) + if self.use_h: + for i in range(hh//d): + s = d*i + st_h + t = min(s+self.l, hh) + mask[s:t,:] *= 0 + if self.use_w: + for i in range(ww//d): + s = d*i + st_w + t = min(s+self.l, ww) + mask[:,s:t] *= 0 + + r = np.random.randint(self.rotate) + mask = Image.fromarray(np.uint8(mask)) + mask = mask.rotate(r) + mask = np.asarray(mask) + mask = mask[(hh-h)//2:(hh-h)//2+h, (ww-w)//2:(ww-w)//2+w] + + mask = torch.from_numpy(mask).to(x.dtype).cuda() + if self.mode == 1: + mask = 1-mask + mask = mask.expand_as(x) + if self.offset: + offset = torch.from_numpy(2 * (np.random.rand(h,w) - 0.5)).to(x.dtype).cuda() + x = x * mask + offset * (1 - mask) + else: + x = x * mask + + return x.view(n,c,h,w) \ No newline at end of file diff --git a/projects/mmdet3d_plugin/models/utils/position_embedding.py b/projects/mmdet3d_plugin/models/utils/position_embedding.py new file mode 100644 index 0000000..290110f --- /dev/null +++ b/projects/mmdet3d_plugin/models/utils/position_embedding.py @@ -0,0 +1,34 @@ +import torch +import torch.nn as nn +import math + +class RelPositionEmbedding(nn.Module): + def __init__(self, num_pos_feats=64, pos_norm=True): + super().__init__() + self.num_pos_feats = num_pos_feats + self.fc = nn.Linear(4, self.num_pos_feats,bias=False) + #nn.init.orthogonal_(self.fc.weight) + #self.fc.weight.requires_grad = False + self.pos_norm = pos_norm + if self.pos_norm: + self.norm = nn.LayerNorm(self.num_pos_feats) + def forward(self, tensor): + #mask = nesttensor.mask + B,C,H,W = tensor.shape + #print('tensor.shape', tensor.shape) + y_range = (torch.arange(H) / float(H - 1)).to(tensor.device) + #y_axis = torch.stack((y_range, 1-y_range),dim=1) + y_axis = torch.stack((torch.cos(y_range * math.pi), torch.sin(y_range * math.pi)), dim=1) + y_axis = y_axis.reshape(H, 1, 2).repeat(1, W, 1).reshape(H * W, 2) + + x_range = (torch.arange(W) / float(W - 1)).to(tensor.device) + #x_axis =torch.stack((x_range,1-x_range),dim=1) + x_axis = torch.stack((torch.cos(x_range * math.pi), torch.sin(x_range * math.pi)), dim=1) + x_axis = x_axis.reshape(1, W, 2).repeat(H, 1, 1).reshape(H * W, 2) + x_pos = torch.cat((y_axis, x_axis), dim=1) + x_pos = self.fc(x_pos) + + if self.pos_norm: + x_pos = self.norm(x_pos) + #print('xpos,', x_pos.max(),x_pos.min()) + return x_pos \ No newline at end of file diff --git a/projects/mmdet3d_plugin/models/utils/visual.py b/projects/mmdet3d_plugin/models/utils/visual.py new file mode 100644 index 0000000..f9718af --- /dev/null +++ b/projects/mmdet3d_plugin/models/utils/visual.py @@ -0,0 +1,24 @@ +import torch +from torchvision.utils import make_grid +import torchvision +import matplotlib.pyplot as plt +import cv2 + + +def convert_color(img_path): + plt.figure() + img = cv2.imread(img_path, cv2.IMREAD_GRAYSCALE) + plt.imsave(img_path, img, cmap=plt.get_cmap('viridis')) + plt.close() + + +def save_tensor(tensor, path, pad_value=254.0,): + print('save_tensor', path) + tensor = tensor.to(torch.float).detach().cpu() + if tensor.type() == 'torch.BoolTensor': + tensor = tensor*255 + if len(tensor.shape) == 3: + tensor = tensor.unsqueeze(1) + tensor = make_grid(tensor, pad_value=pad_value, normalize=False).permute(1, 2, 0).numpy().copy() + torchvision.utils.save_image(torch.tensor(tensor).permute(2, 0, 1), path) + convert_color(path) diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000..614ff1b --- /dev/null +++ b/requirements.txt @@ -0,0 +1,3 @@ +torchmetrics==0.3.2 +prettytable + shapely==1.8.5 \ No newline at end of file diff --git a/tools/__init__.py b/tools/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/tools/analysis_tools/__init__.py b/tools/analysis_tools/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/tools/analysis_tools/analyze_logs.py b/tools/analysis_tools/analyze_logs.py new file mode 100755 index 0000000..806175f --- /dev/null +++ b/tools/analysis_tools/analyze_logs.py @@ -0,0 +1,201 @@ +# Copyright (c) OpenMMLab. All rights reserved. +import argparse +import json +import numpy as np +import seaborn as sns +from collections import defaultdict +from matplotlib import pyplot as plt + + +def cal_train_time(log_dicts, args): + for i, log_dict in enumerate(log_dicts): + print(f'{"-" * 5}Analyze train time of {args.json_logs[i]}{"-" * 5}') + all_times = [] + for epoch in log_dict.keys(): + if args.include_outliers: + all_times.append(log_dict[epoch]['time']) + else: + all_times.append(log_dict[epoch]['time'][1:]) + all_times = np.array(all_times) + epoch_ave_time = all_times.mean(-1) + slowest_epoch = epoch_ave_time.argmax() + fastest_epoch = epoch_ave_time.argmin() + std_over_epoch = epoch_ave_time.std() + print(f'slowest epoch {slowest_epoch + 1}, ' + f'average time is {epoch_ave_time[slowest_epoch]:.4f}') + print(f'fastest epoch {fastest_epoch + 1}, ' + f'average time is {epoch_ave_time[fastest_epoch]:.4f}') + print(f'time std over epochs is {std_over_epoch:.4f}') + print(f'average iter time: {np.mean(all_times):.4f} s/iter') + print() + + +def plot_curve(log_dicts, args): + if args.backend is not None: + plt.switch_backend(args.backend) + sns.set_style(args.style) + # if legend is None, use {filename}_{key} as legend + legend = args.legend + if legend is None: + legend = [] + for json_log in args.json_logs: + for metric in args.keys: + legend.append(f'{json_log}_{metric}') + assert len(legend) == (len(args.json_logs) * len(args.keys)) + metrics = args.keys + + num_metrics = len(metrics) + for i, log_dict in enumerate(log_dicts): + epochs = list(log_dict.keys()) + for j, metric in enumerate(metrics): + print(f'plot curve of {args.json_logs[i]}, metric is {metric}') + if metric not in log_dict[epochs[args.interval - 1]]: + raise KeyError( + f'{args.json_logs[i]} does not contain metric {metric}') + + if args.mode == 'eval': + if min(epochs) == args.interval: + x0 = args.interval + else: + # if current training is resumed from previous checkpoint + # we lost information in early epochs + # `xs` should start according to `min(epochs)` + if min(epochs) % args.interval == 0: + x0 = min(epochs) + else: + # find the first epoch that do eval + x0 = min(epochs) + args.interval - \ + min(epochs) % args.interval + xs = np.arange(x0, max(epochs) + 1, args.interval) + ys = [] + for epoch in epochs[args.interval - 1::args.interval]: + ys += log_dict[epoch][metric] + + # if training is aborted before eval of the last epoch + # `xs` and `ys` will have different length and cause an error + # check if `ys[-1]` is empty here + if not log_dict[epoch][metric]: + xs = xs[:-1] + + ax = plt.gca() + ax.set_xticks(xs) + plt.xlabel('epoch') + plt.plot(xs, ys, label=legend[i * num_metrics + j], marker='o') + else: + xs = [] + ys = [] + num_iters_per_epoch = \ + log_dict[epochs[args.interval-1]]['iter'][-1] + for epoch in epochs[args.interval - 1::args.interval]: + iters = log_dict[epoch]['iter'] + if log_dict[epoch]['mode'][-1] == 'val': + iters = iters[:-1] + xs.append( + np.array(iters) + (epoch - 1) * num_iters_per_epoch) + ys.append(np.array(log_dict[epoch][metric][:len(iters)])) + xs = np.concatenate(xs) + ys = np.concatenate(ys) + plt.xlabel('iter') + plt.plot( + xs, ys, label=legend[i * num_metrics + j], linewidth=0.5) + plt.legend() + if args.title is not None: + plt.title(args.title) + if args.out is None: + plt.show() + else: + print(f'save curve to: {args.out}') + plt.savefig(args.out) + plt.cla() + + +def add_plot_parser(subparsers): + parser_plt = subparsers.add_parser( + 'plot_curve', help='parser for plotting curves') + parser_plt.add_argument( + 'json_logs', + type=str, + nargs='+', + help='path of train log in json format') + parser_plt.add_argument( + '--keys', + type=str, + nargs='+', + default=['mAP_0.25'], + help='the metric that you want to plot') + parser_plt.add_argument('--title', type=str, help='title of figure') + parser_plt.add_argument( + '--legend', + type=str, + nargs='+', + default=None, + help='legend of each plot') + parser_plt.add_argument( + '--backend', type=str, default=None, help='backend of plt') + parser_plt.add_argument( + '--style', type=str, default='dark', help='style of plt') + parser_plt.add_argument('--out', type=str, default=None) + parser_plt.add_argument('--mode', type=str, default='train') + parser_plt.add_argument('--interval', type=int, default=1) + + +def add_time_parser(subparsers): + parser_time = subparsers.add_parser( + 'cal_train_time', + help='parser for computing the average time per training iteration') + parser_time.add_argument( + 'json_logs', + type=str, + nargs='+', + help='path of train log in json format') + parser_time.add_argument( + '--include-outliers', + action='store_true', + help='include the first value of every epoch when computing ' + 'the average time') + + +def parse_args(): + parser = argparse.ArgumentParser(description='Analyze Json Log') + # currently only support plot curve and calculate average train time + subparsers = parser.add_subparsers(dest='task', help='task parser') + add_plot_parser(subparsers) + add_time_parser(subparsers) + args = parser.parse_args() + return args + + +def load_json_logs(json_logs): + # load and convert json_logs to log_dict, key is epoch, value is a sub dict + # keys of sub dict is different metrics, e.g. memory, bbox_mAP + # value of sub dict is a list of corresponding values of all iterations + log_dicts = [dict() for _ in json_logs] + for json_log, log_dict in zip(json_logs, log_dicts): + with open(json_log, 'r') as log_file: + for line in log_file: + log = json.loads(line.strip()) + # skip lines without `epoch` field + if 'epoch' not in log: + continue + epoch = log.pop('epoch') + if epoch not in log_dict: + log_dict[epoch] = defaultdict(list) + for k, v in log.items(): + log_dict[epoch][k].append(v) + return log_dicts + + +def main(): + args = parse_args() + + json_logs = args.json_logs + for json_log in json_logs: + assert json_log.endswith('.json') + + log_dicts = load_json_logs(json_logs) + + eval(args.task)(log_dicts, args) + + +if __name__ == '__main__': + main() diff --git a/tools/analysis_tools/benchmark.py b/tools/analysis_tools/benchmark.py new file mode 100755 index 0000000..487a348 --- /dev/null +++ b/tools/analysis_tools/benchmark.py @@ -0,0 +1,98 @@ +# Copyright (c) OpenMMLab. All rights reserved. +import argparse +import time +import torch +from mmcv import Config +from mmcv.parallel import MMDataParallel +from mmcv.runner import load_checkpoint, wrap_fp16_model +import sys +sys.path.append('.') +from projects.mmdet3d_plugin.datasets.builder import build_dataloader +from projects.mmdet3d_plugin.datasets import custom_build_dataset +# from mmdet3d.datasets import build_dataloader, build_dataset +from mmdet3d.models import build_detector +#from tools.misc.fuse_conv_bn import fuse_module + + +def parse_args(): + parser = argparse.ArgumentParser(description='MMDet benchmark a model') + parser.add_argument('config', help='test config file path') + parser.add_argument('--checkpoint', default=None, help='checkpoint file') + parser.add_argument('--samples', default=2000, help='samples to benchmark') + parser.add_argument( + '--log-interval', default=50, help='interval of logging') + parser.add_argument( + '--fuse-conv-bn', + action='store_true', + help='Whether to fuse conv and bn, this will slightly increase' + 'the inference speed') + args = parser.parse_args() + return args + + +def main(): + args = parse_args() + + cfg = Config.fromfile(args.config) + # set cudnn_benchmark + if cfg.get('cudnn_benchmark', False): + torch.backends.cudnn.benchmark = True + cfg.model.pretrained = None + cfg.data.test.test_mode = True + + # build the dataloader + # TODO: support multiple images per gpu (only minor changes are needed) + print(cfg.data.test) + dataset = custom_build_dataset(cfg.data.test) + data_loader = build_dataloader( + dataset, + samples_per_gpu=1, + workers_per_gpu=cfg.data.workers_per_gpu, + dist=False, + shuffle=False) + + # build the model and load checkpoint + cfg.model.train_cfg = None + model = build_detector(cfg.model, test_cfg=cfg.get('test_cfg')) + fp16_cfg = cfg.get('fp16', None) + if fp16_cfg is not None: + wrap_fp16_model(model) + if args.checkpoint is not None: + load_checkpoint(model, args.checkpoint, map_location='cpu') + #if args.fuse_conv_bn: + # model = fuse_module(model) + + model = MMDataParallel(model, device_ids=[0]) + + model.eval() + + # the first several iterations may be very slow so skip them + num_warmup = 5 + pure_inf_time = 0 + + # benchmark with several samples and take the average + for i, data in enumerate(data_loader): + torch.cuda.synchronize() + start_time = time.perf_counter() + with torch.no_grad(): + model(return_loss=False, rescale=True, **data) + + torch.cuda.synchronize() + elapsed = time.perf_counter() - start_time + + if i >= num_warmup: + pure_inf_time += elapsed + if (i + 1) % args.log_interval == 0: + fps = (i + 1 - num_warmup) / pure_inf_time + print(f'Done image [{i + 1:<3}/ {args.samples}], ' + f'fps: {fps:.1f} img / s') + + if (i + 1) == args.samples: + pure_inf_time += elapsed + fps = (i + 1 - num_warmup) / pure_inf_time + print(f'Overall fps: {fps:.1f} img / s') + break + + +if __name__ == '__main__': + main() diff --git a/tools/analysis_tools/get_params.py b/tools/analysis_tools/get_params.py new file mode 100644 index 0000000..fb697ad --- /dev/null +++ b/tools/analysis_tools/get_params.py @@ -0,0 +1,10 @@ +import torch +file_path = './ckpts/bevformer_v4.pth' +model = torch.load(file_path, map_location='cpu') +all = 0 +for key in list(model['state_dict'].keys()): + all += model['state_dict'][key].nelement() +print(all) + +# smaller 63374123 +# v4 69140395 diff --git a/tools/analysis_tools/visual.py b/tools/analysis_tools/visual.py new file mode 100644 index 0000000..576946e --- /dev/null +++ b/tools/analysis_tools/visual.py @@ -0,0 +1,477 @@ +# Based on https://github.com/nutonomy/nuscenes-devkit +# --------------------------------------------- +# Modified by Zhiqi Li +# --------------------------------------------- + +import mmcv +from nuscenes.nuscenes import NuScenes +from PIL import Image +from nuscenes.utils.geometry_utils import view_points, box_in_image, BoxVisibility, transform_matrix +from typing import Tuple, List, Iterable +import matplotlib.pyplot as plt +import numpy as np +from PIL import Image +from matplotlib import rcParams +from matplotlib.axes import Axes +from pyquaternion import Quaternion +from PIL import Image +from matplotlib import rcParams +from matplotlib.axes import Axes +from pyquaternion import Quaternion +from tqdm import tqdm +from nuscenes.utils.data_classes import LidarPointCloud, RadarPointCloud, Box +from nuscenes.utils.geometry_utils import view_points, box_in_image, BoxVisibility, transform_matrix +from nuscenes.eval.common.data_classes import EvalBoxes, EvalBox +from nuscenes.eval.detection.data_classes import DetectionBox +from nuscenes.eval.detection.utils import category_to_detection_name +from nuscenes.eval.detection.render import visualize_sample + + + + +cams = ['CAM_FRONT', + 'CAM_FRONT_RIGHT', + 'CAM_BACK_RIGHT', + 'CAM_BACK', + 'CAM_BACK_LEFT', + 'CAM_FRONT_LEFT'] + +import numpy as np +import matplotlib.pyplot as plt +from nuscenes.utils.data_classes import LidarPointCloud, RadarPointCloud, Box +from PIL import Image +from matplotlib import rcParams + + +def render_annotation( + anntoken: str, + margin: float = 10, + view: np.ndarray = np.eye(4), + box_vis_level: BoxVisibility = BoxVisibility.ANY, + out_path: str = 'render.png', + extra_info: bool = False) -> None: + """ + Render selected annotation. + :param anntoken: Sample_annotation token. + :param margin: How many meters in each direction to include in LIDAR view. + :param view: LIDAR view point. + :param box_vis_level: If sample_data is an image, this sets required visibility for boxes. + :param out_path: Optional path to save the rendered figure to disk. + :param extra_info: Whether to render extra information below camera view. + """ + ann_record = nusc.get('sample_annotation', anntoken) + sample_record = nusc.get('sample', ann_record['sample_token']) + assert 'LIDAR_TOP' in sample_record['data'].keys(), 'Error: No LIDAR_TOP in data, unable to render.' + + # Figure out which camera the object is fully visible in (this may return nothing). + boxes, cam = [], [] + cams = [key for key in sample_record['data'].keys() if 'CAM' in key] + all_bboxes = [] + select_cams = [] + for cam in cams: + _, boxes, _ = nusc.get_sample_data(sample_record['data'][cam], box_vis_level=box_vis_level, + selected_anntokens=[anntoken]) + if len(boxes) > 0: + all_bboxes.append(boxes) + select_cams.append(cam) + # We found an image that matches. Let's abort. + # assert len(boxes) > 0, 'Error: Could not find image where annotation is visible. ' \ + # 'Try using e.g. BoxVisibility.ANY.' + # assert len(boxes) < 2, 'Error: Found multiple annotations. Something is wrong!' + + num_cam = len(all_bboxes) + + fig, axes = plt.subplots(1, num_cam + 1, figsize=(18, 9)) + select_cams = [sample_record['data'][cam] for cam in select_cams] + print('bbox in cams:', select_cams) + # Plot LIDAR view. + lidar = sample_record['data']['LIDAR_TOP'] + data_path, boxes, camera_intrinsic = nusc.get_sample_data(lidar, selected_anntokens=[anntoken]) + LidarPointCloud.from_file(data_path).render_height(axes[0], view=view) + for box in boxes: + c = np.array(get_color(box.name)) / 255.0 + box.render(axes[0], view=view, colors=(c, c, c)) + corners = view_points(boxes[0].corners(), view, False)[:2, :] + axes[0].set_xlim([np.min(corners[0, :]) - margin, np.max(corners[0, :]) + margin]) + axes[0].set_ylim([np.min(corners[1, :]) - margin, np.max(corners[1, :]) + margin]) + axes[0].axis('off') + axes[0].set_aspect('equal') + + # Plot CAMERA view. + for i in range(1, num_cam + 1): + cam = select_cams[i - 1] + data_path, boxes, camera_intrinsic = nusc.get_sample_data(cam, selected_anntokens=[anntoken]) + im = Image.open(data_path) + axes[i].imshow(im) + axes[i].set_title(nusc.get('sample_data', cam)['channel']) + axes[i].axis('off') + axes[i].set_aspect('equal') + for box in boxes: + c = np.array(get_color(box.name)) / 255.0 + box.render(axes[i], view=camera_intrinsic, normalize=True, colors=(c, c, c)) + + # Print extra information about the annotation below the camera view. + axes[i].set_xlim(0, im.size[0]) + axes[i].set_ylim(im.size[1], 0) + + if extra_info: + rcParams['font.family'] = 'monospace' + + w, l, h = ann_record['size'] + category = ann_record['category_name'] + lidar_points = ann_record['num_lidar_pts'] + radar_points = ann_record['num_radar_pts'] + + sample_data_record = nusc.get('sample_data', sample_record['data']['LIDAR_TOP']) + pose_record = nusc.get('ego_pose', sample_data_record['ego_pose_token']) + dist = np.linalg.norm(np.array(pose_record['translation']) - np.array(ann_record['translation'])) + + information = ' \n'.join(['category: {}'.format(category), + '', + '# lidar points: {0:>4}'.format(lidar_points), + '# radar points: {0:>4}'.format(radar_points), + '', + 'distance: {:>7.3f}m'.format(dist), + '', + 'width: {:>7.3f}m'.format(w), + 'length: {:>7.3f}m'.format(l), + 'height: {:>7.3f}m'.format(h)]) + + plt.annotate(information, (0, 0), (0, -20), xycoords='axes fraction', textcoords='offset points', va='top') + + if out_path is not None: + plt.savefig(out_path) + + + +def get_sample_data(sample_data_token: str, + box_vis_level: BoxVisibility = BoxVisibility.ANY, + selected_anntokens=None, + use_flat_vehicle_coordinates: bool = False): + """ + Returns the data path as well as all annotations related to that sample_data. + Note that the boxes are transformed into the current sensor's coordinate frame. + :param sample_data_token: Sample_data token. + :param box_vis_level: If sample_data is an image, this sets required visibility for boxes. + :param selected_anntokens: If provided only return the selected annotation. + :param use_flat_vehicle_coordinates: Instead of the current sensor's coordinate frame, use ego frame which is + aligned to z-plane in the world. + :return: (data_path, boxes, camera_intrinsic ) + """ + + # Retrieve sensor & pose records + sd_record = nusc.get('sample_data', sample_data_token) + cs_record = nusc.get('calibrated_sensor', sd_record['calibrated_sensor_token']) + sensor_record = nusc.get('sensor', cs_record['sensor_token']) + pose_record = nusc.get('ego_pose', sd_record['ego_pose_token']) + + data_path = nusc.get_sample_data_path(sample_data_token) + + if sensor_record['modality'] == 'camera': + cam_intrinsic = np.array(cs_record['camera_intrinsic']) + imsize = (sd_record['width'], sd_record['height']) + else: + cam_intrinsic = None + imsize = None + + # Retrieve all sample annotations and map to sensor coordinate system. + if selected_anntokens is not None: + boxes = list(map(nusc.get_box, selected_anntokens)) + else: + boxes = nusc.get_boxes(sample_data_token) + + # Make list of Box objects including coord system transforms. + box_list = [] + for box in boxes: + if use_flat_vehicle_coordinates: + # Move box to ego vehicle coord system parallel to world z plane. + yaw = Quaternion(pose_record['rotation']).yaw_pitch_roll[0] + box.translate(-np.array(pose_record['translation'])) + box.rotate(Quaternion(scalar=np.cos(yaw / 2), vector=[0, 0, np.sin(yaw / 2)]).inverse) + else: + # Move box to ego vehicle coord system. + box.translate(-np.array(pose_record['translation'])) + box.rotate(Quaternion(pose_record['rotation']).inverse) + + # Move box to sensor coord system. + box.translate(-np.array(cs_record['translation'])) + box.rotate(Quaternion(cs_record['rotation']).inverse) + + if sensor_record['modality'] == 'camera' and not \ + box_in_image(box, cam_intrinsic, imsize, vis_level=box_vis_level): + continue + + box_list.append(box) + + return data_path, box_list, cam_intrinsic + + + +def get_predicted_data(sample_data_token: str, + box_vis_level: BoxVisibility = BoxVisibility.ANY, + selected_anntokens=None, + use_flat_vehicle_coordinates: bool = False, + pred_anns=None + ): + """ + Returns the data path as well as all annotations related to that sample_data. + Note that the boxes are transformed into the current sensor's coordinate frame. + :param sample_data_token: Sample_data token. + :param box_vis_level: If sample_data is an image, this sets required visibility for boxes. + :param selected_anntokens: If provided only return the selected annotation. + :param use_flat_vehicle_coordinates: Instead of the current sensor's coordinate frame, use ego frame which is + aligned to z-plane in the world. + :return: (data_path, boxes, camera_intrinsic ) + """ + + # Retrieve sensor & pose records + sd_record = nusc.get('sample_data', sample_data_token) + cs_record = nusc.get('calibrated_sensor', sd_record['calibrated_sensor_token']) + sensor_record = nusc.get('sensor', cs_record['sensor_token']) + pose_record = nusc.get('ego_pose', sd_record['ego_pose_token']) + + data_path = nusc.get_sample_data_path(sample_data_token) + + if sensor_record['modality'] == 'camera': + cam_intrinsic = np.array(cs_record['camera_intrinsic']) + imsize = (sd_record['width'], sd_record['height']) + else: + cam_intrinsic = None + imsize = None + + # Retrieve all sample annotations and map to sensor coordinate system. + # if selected_anntokens is not None: + # boxes = list(map(nusc.get_box, selected_anntokens)) + # else: + # boxes = nusc.get_boxes(sample_data_token) + boxes = pred_anns + # Make list of Box objects including coord system transforms. + box_list = [] + for box in boxes: + if use_flat_vehicle_coordinates: + # Move box to ego vehicle coord system parallel to world z plane. + yaw = Quaternion(pose_record['rotation']).yaw_pitch_roll[0] + box.translate(-np.array(pose_record['translation'])) + box.rotate(Quaternion(scalar=np.cos(yaw / 2), vector=[0, 0, np.sin(yaw / 2)]).inverse) + else: + # Move box to ego vehicle coord system. + box.translate(-np.array(pose_record['translation'])) + box.rotate(Quaternion(pose_record['rotation']).inverse) + + # Move box to sensor coord system. + box.translate(-np.array(cs_record['translation'])) + box.rotate(Quaternion(cs_record['rotation']).inverse) + + if sensor_record['modality'] == 'camera' and not \ + box_in_image(box, cam_intrinsic, imsize, vis_level=box_vis_level): + continue + box_list.append(box) + + return data_path, box_list, cam_intrinsic + + + + +def lidiar_render(sample_token, data,out_path=None): + bbox_gt_list = [] + bbox_pred_list = [] + anns = nusc.get('sample', sample_token)['anns'] + for ann in anns: + content = nusc.get('sample_annotation', ann) + try: + bbox_gt_list.append(DetectionBox( + sample_token=content['sample_token'], + translation=tuple(content['translation']), + size=tuple(content['size']), + rotation=tuple(content['rotation']), + velocity=nusc.box_velocity(content['token'])[:2], + ego_translation=(0.0, 0.0, 0.0) if 'ego_translation' not in content + else tuple(content['ego_translation']), + num_pts=-1 if 'num_pts' not in content else int(content['num_pts']), + detection_name=category_to_detection_name(content['category_name']), + detection_score=-1.0 if 'detection_score' not in content else float(content['detection_score']), + attribute_name='')) + except: + pass + + bbox_anns = data['results'][sample_token] + for content in bbox_anns: + bbox_pred_list.append(DetectionBox( + sample_token=content['sample_token'], + translation=tuple(content['translation']), + size=tuple(content['size']), + rotation=tuple(content['rotation']), + velocity=tuple(content['velocity']), + ego_translation=(0.0, 0.0, 0.0) if 'ego_translation' not in content + else tuple(content['ego_translation']), + num_pts=-1 if 'num_pts' not in content else int(content['num_pts']), + detection_name=content['detection_name'], + detection_score=-1.0 if 'detection_score' not in content else float(content['detection_score']), + attribute_name=content['attribute_name'])) + gt_annotations = EvalBoxes() + pred_annotations = EvalBoxes() + gt_annotations.add_boxes(sample_token, bbox_gt_list) + pred_annotations.add_boxes(sample_token, bbox_pred_list) + print('green is ground truth') + print('blue is the predited result') + visualize_sample(nusc, sample_token, gt_annotations, pred_annotations, savepath=out_path+'_bev') + + +def get_color(category_name: str): + """ + Provides the default colors based on the category names. + This method works for the general nuScenes categories, as well as the nuScenes detection categories. + """ + a = ['noise', 'animal', 'human.pedestrian.adult', 'human.pedestrian.child', 'human.pedestrian.construction_worker', + 'human.pedestrian.personal_mobility', 'human.pedestrian.police_officer', 'human.pedestrian.stroller', + 'human.pedestrian.wheelchair', 'movable_object.barrier', 'movable_object.debris', + 'movable_object.pushable_pullable', 'movable_object.trafficcone', 'static_object.bicycle_rack', 'vehicle.bicycle', + 'vehicle.bus.bendy', 'vehicle.bus.rigid', 'vehicle.car', 'vehicle.construction', 'vehicle.emergency.ambulance', + 'vehicle.emergency.police', 'vehicle.motorcycle', 'vehicle.trailer', 'vehicle.truck', 'flat.driveable_surface', + 'flat.other', 'flat.sidewalk', 'flat.terrain', 'static.manmade', 'static.other', 'static.vegetation', + 'vehicle.ego'] + class_names = [ + 'car', 'truck', 'construction_vehicle', 'bus', 'trailer', 'barrier', + 'motorcycle', 'bicycle', 'pedestrian', 'traffic_cone' + ] + #print(category_name) + if category_name == 'bicycle': + return nusc.colormap['vehicle.bicycle'] + elif category_name == 'construction_vehicle': + return nusc.colormap['vehicle.construction'] + elif category_name == 'traffic_cone': + return nusc.colormap['movable_object.trafficcone'] + + for key in nusc.colormap.keys(): + if category_name in key: + return nusc.colormap[key] + return [0, 0, 0] + + +def render_sample_data( + sample_toekn: str, + with_anns: bool = True, + box_vis_level: BoxVisibility = BoxVisibility.ANY, + axes_limit: float = 40, + ax=None, + nsweeps: int = 1, + out_path: str = None, + underlay_map: bool = True, + use_flat_vehicle_coordinates: bool = True, + show_lidarseg: bool = False, + show_lidarseg_legend: bool = False, + filter_lidarseg_labels=None, + lidarseg_preds_bin_path: str = None, + verbose: bool = True, + show_panoptic: bool = False, + pred_data=None, + ) -> None: + """ + Render sample data onto axis. + :param sample_data_token: Sample_data token. + :param with_anns: Whether to draw box annotations. + :param box_vis_level: If sample_data is an image, this sets required visibility for boxes. + :param axes_limit: Axes limit for lidar and radar (measured in meters). + :param ax: Axes onto which to render. + :param nsweeps: Number of sweeps for lidar and radar. + :param out_path: Optional path to save the rendered figure to disk. + :param underlay_map: When set to true, lidar data is plotted onto the map. This can be slow. + :param use_flat_vehicle_coordinates: Instead of the current sensor's coordinate frame, use ego frame which is + aligned to z-plane in the world. Note: Previously this method did not use flat vehicle coordinates, which + can lead to small errors when the vertical axis of the global frame and lidar are not aligned. The new + setting is more correct and rotates the plot by ~90 degrees. + :param show_lidarseg: When set to True, the lidar data is colored with the segmentation labels. When set + to False, the colors of the lidar data represent the distance from the center of the ego vehicle. + :param show_lidarseg_legend: Whether to display the legend for the lidarseg labels in the frame. + :param filter_lidarseg_labels: Only show lidar points which belong to the given list of classes. If None + or the list is empty, all classes will be displayed. + :param lidarseg_preds_bin_path: A path to the .bin file which contains the user's lidar segmentation + predictions for the sample. + :param verbose: Whether to display the image after it is rendered. + :param show_panoptic: When set to True, the lidar data is colored with the panoptic labels. When set + to False, the colors of the lidar data represent the distance from the center of the ego vehicle. + If show_lidarseg is True, show_panoptic will be set to False. + """ + lidiar_render(sample_toekn, pred_data, out_path=out_path) + sample = nusc.get('sample', sample_toekn) + # sample = data['results'][sample_token_list[0]][0] + cams = [ + 'CAM_FRONT_LEFT', + 'CAM_FRONT', + 'CAM_FRONT_RIGHT', + 'CAM_BACK_LEFT', + 'CAM_BACK', + 'CAM_BACK_RIGHT', + ] + if ax is None: + _, ax = plt.subplots(4, 3, figsize=(24, 18)) + j = 0 + for ind, cam in enumerate(cams): + sample_data_token = sample['data'][cam] + + sd_record = nusc.get('sample_data', sample_data_token) + sensor_modality = sd_record['sensor_modality'] + + if sensor_modality in ['lidar', 'radar']: + assert False + elif sensor_modality == 'camera': + # Load boxes and image. + boxes = [Box(record['translation'], record['size'], Quaternion(record['rotation']), + name=record['detection_name'], token='predicted') for record in + pred_data['results'][sample_toekn] if record['detection_score'] > 0.2] + + data_path, boxes_pred, camera_intrinsic = get_predicted_data(sample_data_token, + box_vis_level=box_vis_level, pred_anns=boxes) + _, boxes_gt, _ = nusc.get_sample_data(sample_data_token, box_vis_level=box_vis_level) + if ind == 3: + j += 1 + ind = ind % 3 + data = Image.open(data_path) + # mmcv.imwrite(np.array(data)[:,:,::-1], f'{cam}.png') + # Init axes. + + # Show image. + ax[j, ind].imshow(data) + ax[j + 2, ind].imshow(data) + + # Show boxes. + if with_anns: + for box in boxes_pred: + c = np.array(get_color(box.name)) / 255.0 + box.render(ax[j, ind], view=camera_intrinsic, normalize=True, colors=(c, c, c)) + for box in boxes_gt: + c = np.array(get_color(box.name)) / 255.0 + box.render(ax[j + 2, ind], view=camera_intrinsic, normalize=True, colors=(c, c, c)) + + # Limit visible range. + ax[j, ind].set_xlim(0, data.size[0]) + ax[j, ind].set_ylim(data.size[1], 0) + ax[j + 2, ind].set_xlim(0, data.size[0]) + ax[j + 2, ind].set_ylim(data.size[1], 0) + + else: + raise ValueError("Error: Unknown sensor modality!") + + ax[j, ind].axis('off') + ax[j, ind].set_title('PRED: {} {labels_type}'.format( + sd_record['channel'], labels_type='(predictions)' if lidarseg_preds_bin_path else '')) + ax[j, ind].set_aspect('equal') + + ax[j + 2, ind].axis('off') + ax[j + 2, ind].set_title('GT:{} {labels_type}'.format( + sd_record['channel'], labels_type='(predictions)' if lidarseg_preds_bin_path else '')) + ax[j + 2, ind].set_aspect('equal') + + if out_path is not None: + plt.savefig(out_path+'_camera', bbox_inches='tight', pad_inches=0, dpi=200) + if verbose: + plt.show() + plt.close() + +if __name__ == '__main__': + nusc = NuScenes(version='v1.0-trainval', dataroot='/home/guozebin/work_code/BEVFormer/data/nuscenes', verbose=True) + # render_annotation('7603b030b42a4b1caa8c443ccc1a7d52') + bevformer_results = mmcv.load('/home/guozebin/work_code/BEVFormer/test/bevformer_test/Tue_Jan__3_14_27_26_2023/pts_bbox/results_nusc.json') + sample_token_list = list(bevformer_results['results'].keys()) + for id in range(0, 10): + render_sample_data(sample_token_list[id], pred_data=bevformer_results, out_path=sample_token_list[id]) diff --git a/tools/create_data.py b/tools/create_data.py new file mode 100755 index 0000000..f2b0cc1 --- /dev/null +++ b/tools/create_data.py @@ -0,0 +1,305 @@ +# --------------------------------------------- +# Copyright (c) OpenMMLab. All rights reserved. +# --------------------------------------------- +# Modified by Zhiqi Li +# --------------------------------------------- +from data_converter.create_gt_database import create_groundtruth_database +from data_converter import nuscenes_converter as nuscenes_converter +from data_converter import lyft_converter as lyft_converter +from data_converter import kitti_converter as kitti +from data_converter import indoor_converter as indoor +import argparse +from os import path as osp +import sys +sys.path.append('.') + + +def kitti_data_prep(root_path, info_prefix, version, out_dir): + """Prepare data related to Kitti dataset. + + Related data consists of '.pkl' files recording basic infos, + 2D annotations and groundtruth database. + + Args: + root_path (str): Path of dataset root. + info_prefix (str): The prefix of info filenames. + version (str): Dataset version. + out_dir (str): Output directory of the groundtruth database info. + """ + kitti.create_kitti_info_file(root_path, info_prefix) + kitti.create_reduced_point_cloud(root_path, info_prefix) + + info_train_path = osp.join(root_path, f'{info_prefix}_infos_train.pkl') + info_val_path = osp.join(root_path, f'{info_prefix}_infos_val.pkl') + info_trainval_path = osp.join(root_path, + f'{info_prefix}_infos_trainval.pkl') + info_test_path = osp.join(root_path, f'{info_prefix}_infos_test.pkl') + kitti.export_2d_annotation(root_path, info_train_path) + kitti.export_2d_annotation(root_path, info_val_path) + kitti.export_2d_annotation(root_path, info_trainval_path) + kitti.export_2d_annotation(root_path, info_test_path) + + create_groundtruth_database( + 'KittiDataset', + root_path, + info_prefix, + f'{out_dir}/{info_prefix}_infos_train.pkl', + relative_path=False, + mask_anno_path='instances_train.json', + with_mask=(version == 'mask')) + + +def nuscenes_data_prep(root_path, + can_bus_root_path, + info_prefix, + version, + dataset_name, + out_dir, + max_sweeps=10): + """Prepare data related to nuScenes dataset. + + Related data consists of '.pkl' files recording basic infos, + 2D annotations and groundtruth database. + + Args: + root_path (str): Path of dataset root. + info_prefix (str): The prefix of info filenames. + version (str): Dataset version. + dataset_name (str): The dataset class name. + out_dir (str): Output directory of the groundtruth database info. + max_sweeps (int): Number of input consecutive frames. Default: 10 + """ + nuscenes_converter.create_nuscenes_infos( + root_path, out_dir, can_bus_root_path, info_prefix, version=version, max_sweeps=max_sweeps) + + if version == 'v1.0-test': + info_test_path = osp.join( + out_dir, f'{info_prefix}_infos_temporal_test.pkl') + nuscenes_converter.export_2d_annotation( + root_path, info_test_path, version=version) + else: + info_train_path = osp.join( + out_dir, f'{info_prefix}_infos_temporal_train.pkl') + info_val_path = osp.join( + out_dir, f'{info_prefix}_infos_temporal_val.pkl') + nuscenes_converter.export_2d_annotation( + root_path, info_train_path, version=version) + nuscenes_converter.export_2d_annotation( + root_path, info_val_path, version=version) + # create_groundtruth_database(dataset_name, root_path, info_prefix, + # f'{out_dir}/{info_prefix}_infos_train.pkl') + + +def lyft_data_prep(root_path, info_prefix, version, max_sweeps=10): + """Prepare data related to Lyft dataset. + + Related data consists of '.pkl' files recording basic infos. + Although the ground truth database and 2D annotations are not used in + Lyft, it can also be generated like nuScenes. + + Args: + root_path (str): Path of dataset root. + info_prefix (str): The prefix of info filenames. + version (str): Dataset version. + max_sweeps (int, optional): Number of input consecutive frames. + Defaults to 10. + """ + lyft_converter.create_lyft_infos( + root_path, info_prefix, version=version, max_sweeps=max_sweeps) + + +def scannet_data_prep(root_path, info_prefix, out_dir, workers): + """Prepare the info file for scannet dataset. + + Args: + root_path (str): Path of dataset root. + info_prefix (str): The prefix of info filenames. + out_dir (str): Output directory of the generated info file. + workers (int): Number of threads to be used. + """ + indoor.create_indoor_info_file( + root_path, info_prefix, out_dir, workers=workers) + + +def s3dis_data_prep(root_path, info_prefix, out_dir, workers): + """Prepare the info file for s3dis dataset. + + Args: + root_path (str): Path of dataset root. + info_prefix (str): The prefix of info filenames. + out_dir (str): Output directory of the generated info file. + workers (int): Number of threads to be used. + """ + indoor.create_indoor_info_file( + root_path, info_prefix, out_dir, workers=workers) + + +def sunrgbd_data_prep(root_path, info_prefix, out_dir, workers): + """Prepare the info file for sunrgbd dataset. + + Args: + root_path (str): Path of dataset root. + info_prefix (str): The prefix of info filenames. + out_dir (str): Output directory of the generated info file. + workers (int): Number of threads to be used. + """ + indoor.create_indoor_info_file( + root_path, info_prefix, out_dir, workers=workers) + + +def waymo_data_prep(root_path, + info_prefix, + version, + out_dir, + workers, + max_sweeps=5): + """Prepare the info file for waymo dataset. + + Args: + root_path (str): Path of dataset root. + info_prefix (str): The prefix of info filenames. + out_dir (str): Output directory of the generated info file. + workers (int): Number of threads to be used. + max_sweeps (int): Number of input consecutive frames. Default: 5 \ + Here we store pose information of these frames for later use. + """ + from tools.data_converter import waymo_converter as waymo + + splits = ['training', 'validation', 'testing'] + + for i, split in enumerate(splits): + load_dir = osp.join(root_path, 'waymo_format', split) + if split == 'validation': + save_dir = osp.join(out_dir, 'kitti_format', 'training') + else: + save_dir = osp.join(out_dir, 'kitti_format', split) + converter = waymo.Waymo2KITTI( + load_dir, + save_dir, + prefix=str(i), + workers=workers, + test_mode=(split == 'test')) + converter.convert() + # Generate waymo infos + out_dir = osp.join(out_dir, 'kitti_format') + kitti.create_waymo_info_file(out_dir, info_prefix, max_sweeps=max_sweeps) + + create_groundtruth_database( + 'WaymoDataset', + out_dir, + info_prefix, + f'{out_dir}/{info_prefix}_infos_train.pkl', + relative_path=False, + with_mask=False) + + +parser = argparse.ArgumentParser(description='Data converter arg parser') +parser.add_argument('dataset', metavar='kitti', help='name of the dataset') +parser.add_argument( + '--root-path', + type=str, + default='./data/kitti', + help='specify the root path of dataset') +parser.add_argument( + '--canbus', + type=str, + default='./data', + help='specify the root path of nuScenes canbus') +parser.add_argument( + '--version', + type=str, + default='v1.0', + required=False, + help='specify the dataset version, no need for kitti') +parser.add_argument( + '--max-sweeps', + type=int, + default=10, + required=False, + help='specify sweeps of lidar per example') +parser.add_argument( + '--out-dir', + type=str, + default='./data/kitti', + required='False', + help='name of info pkl') +parser.add_argument('--extra-tag', type=str, default='kitti') +parser.add_argument( + '--workers', type=int, default=4, help='number of threads to be used') +args = parser.parse_args() + +if __name__ == '__main__': + if args.dataset == 'kitti': + kitti_data_prep( + root_path=args.root_path, + info_prefix=args.extra_tag, + version=args.version, + out_dir=args.out_dir) + elif args.dataset == 'nuscenes' and args.version != 'v1.0-mini': + train_version = f'{args.version}-trainval' + nuscenes_data_prep( + root_path=args.root_path, + can_bus_root_path=args.canbus, + info_prefix=args.extra_tag, + version=train_version, + dataset_name='NuScenesDataset', + out_dir=args.out_dir, + max_sweeps=args.max_sweeps) + test_version = f'{args.version}-test' + nuscenes_data_prep( + root_path=args.root_path, + can_bus_root_path=args.canbus, + info_prefix=args.extra_tag, + version=test_version, + dataset_name='NuScenesDataset', + out_dir=args.out_dir, + max_sweeps=args.max_sweeps) + elif args.dataset == 'nuscenes' and args.version == 'v1.0-mini': + train_version = f'{args.version}' + nuscenes_data_prep( + root_path=args.root_path, + can_bus_root_path=args.canbus, + info_prefix=args.extra_tag, + version=train_version, + dataset_name='NuScenesDataset', + out_dir=args.out_dir, + max_sweeps=args.max_sweeps) + elif args.dataset == 'lyft': + train_version = f'{args.version}-train' + lyft_data_prep( + root_path=args.root_path, + info_prefix=args.extra_tag, + version=train_version, + max_sweeps=args.max_sweeps) + test_version = f'{args.version}-test' + lyft_data_prep( + root_path=args.root_path, + info_prefix=args.extra_tag, + version=test_version, + max_sweeps=args.max_sweeps) + elif args.dataset == 'waymo': + waymo_data_prep( + root_path=args.root_path, + info_prefix=args.extra_tag, + version=args.version, + out_dir=args.out_dir, + workers=args.workers, + max_sweeps=args.max_sweeps) + elif args.dataset == 'scannet': + scannet_data_prep( + root_path=args.root_path, + info_prefix=args.extra_tag, + out_dir=args.out_dir, + workers=args.workers) + elif args.dataset == 's3dis': + s3dis_data_prep( + root_path=args.root_path, + info_prefix=args.extra_tag, + out_dir=args.out_dir, + workers=args.workers) + elif args.dataset == 'sunrgbd': + sunrgbd_data_prep( + root_path=args.root_path, + info_prefix=args.extra_tag, + out_dir=args.out_dir, + workers=args.workers) diff --git a/tools/data_converter/__init__.py b/tools/data_converter/__init__.py new file mode 100755 index 0000000..ef101fe --- /dev/null +++ b/tools/data_converter/__init__.py @@ -0,0 +1 @@ +# Copyright (c) OpenMMLab. All rights reserved. diff --git a/tools/data_converter/create_gt_database.py b/tools/data_converter/create_gt_database.py new file mode 100755 index 0000000..7317ced --- /dev/null +++ b/tools/data_converter/create_gt_database.py @@ -0,0 +1,338 @@ +# Copyright (c) OpenMMLab. All rights reserved. +import mmcv +import numpy as np +import pickle +from mmcv import track_iter_progress +from mmcv.ops import roi_align +from os import path as osp +from pycocotools import mask as maskUtils +from pycocotools.coco import COCO + +from mmdet3d.core.bbox import box_np_ops as box_np_ops +from mmdet3d.datasets import build_dataset +from mmdet.core.evaluation.bbox_overlaps import bbox_overlaps + + +def _poly2mask(mask_ann, img_h, img_w): + if isinstance(mask_ann, list): + # polygon -- a single object might consist of multiple parts + # we merge all parts into one mask rle code + rles = maskUtils.frPyObjects(mask_ann, img_h, img_w) + rle = maskUtils.merge(rles) + elif isinstance(mask_ann['counts'], list): + # uncompressed RLE + rle = maskUtils.frPyObjects(mask_ann, img_h, img_w) + else: + # rle + rle = mask_ann + mask = maskUtils.decode(rle) + return mask + + +def _parse_coco_ann_info(ann_info): + gt_bboxes = [] + gt_labels = [] + gt_bboxes_ignore = [] + gt_masks_ann = [] + + for i, ann in enumerate(ann_info): + if ann.get('ignore', False): + continue + x1, y1, w, h = ann['bbox'] + if ann['area'] <= 0: + continue + bbox = [x1, y1, x1 + w, y1 + h] + if ann.get('iscrowd', False): + gt_bboxes_ignore.append(bbox) + else: + gt_bboxes.append(bbox) + gt_masks_ann.append(ann['segmentation']) + + if gt_bboxes: + gt_bboxes = np.array(gt_bboxes, dtype=np.float32) + gt_labels = np.array(gt_labels, dtype=np.int64) + else: + gt_bboxes = np.zeros((0, 4), dtype=np.float32) + gt_labels = np.array([], dtype=np.int64) + + if gt_bboxes_ignore: + gt_bboxes_ignore = np.array(gt_bboxes_ignore, dtype=np.float32) + else: + gt_bboxes_ignore = np.zeros((0, 4), dtype=np.float32) + + ann = dict( + bboxes=gt_bboxes, bboxes_ignore=gt_bboxes_ignore, masks=gt_masks_ann) + + return ann + + +def crop_image_patch_v2(pos_proposals, pos_assigned_gt_inds, gt_masks): + import torch + from torch.nn.modules.utils import _pair + device = pos_proposals.device + num_pos = pos_proposals.size(0) + fake_inds = ( + torch.arange(num_pos, + device=device).to(dtype=pos_proposals.dtype)[:, None]) + rois = torch.cat([fake_inds, pos_proposals], dim=1) # Nx5 + mask_size = _pair(28) + rois = rois.to(device=device) + gt_masks_th = ( + torch.from_numpy(gt_masks).to(device).index_select( + 0, pos_assigned_gt_inds).to(dtype=rois.dtype)) + # Use RoIAlign could apparently accelerate the training (~0.1s/iter) + targets = ( + roi_align(gt_masks_th, rois, mask_size[::-1], 1.0, 0, True).squeeze(1)) + return targets + + +def crop_image_patch(pos_proposals, gt_masks, pos_assigned_gt_inds, org_img): + num_pos = pos_proposals.shape[0] + masks = [] + img_patches = [] + for i in range(num_pos): + gt_mask = gt_masks[pos_assigned_gt_inds[i]] + bbox = pos_proposals[i, :].astype(np.int32) + x1, y1, x2, y2 = bbox + w = np.maximum(x2 - x1 + 1, 1) + h = np.maximum(y2 - y1 + 1, 1) + + mask_patch = gt_mask[y1:y1 + h, x1:x1 + w] + masked_img = gt_mask[..., None] * org_img + img_patch = masked_img[y1:y1 + h, x1:x1 + w] + + img_patches.append(img_patch) + masks.append(mask_patch) + return img_patches, masks + + +def create_groundtruth_database(dataset_class_name, + data_path, + info_prefix, + info_path=None, + mask_anno_path=None, + used_classes=None, + database_save_path=None, + db_info_save_path=None, + relative_path=True, + add_rgb=False, + lidar_only=False, + bev_only=False, + coors_range=None, + with_mask=False): + """Given the raw data, generate the ground truth database. + + Args: + dataset_class_name (str): Name of the input dataset. + data_path (str): Path of the data. + info_prefix (str): Prefix of the info file. + info_path (str): Path of the info file. + Default: None. + mask_anno_path (str): Path of the mask_anno. + Default: None. + used_classes (list[str]): Classes have been used. + Default: None. + database_save_path (str): Path to save database. + Default: None. + db_info_save_path (str): Path to save db_info. + Default: None. + relative_path (bool): Whether to use relative path. + Default: True. + with_mask (bool): Whether to use mask. + Default: False. + """ + print(f'Create GT Database of {dataset_class_name}') + dataset_cfg = dict( + type=dataset_class_name, data_root=data_path, ann_file=info_path) + if dataset_class_name == 'KittiDataset': + file_client_args = dict(backend='disk') + dataset_cfg.update( + test_mode=False, + split='training', + modality=dict( + use_lidar=True, + use_depth=False, + use_lidar_intensity=True, + use_camera=with_mask, + ), + pipeline=[ + dict( + type='LoadPointsFromFile', + coord_type='LIDAR', + load_dim=4, + use_dim=4, + file_client_args=file_client_args), + dict( + type='LoadAnnotations3D', + with_bbox_3d=True, + with_label_3d=True, + file_client_args=file_client_args) + ]) + + elif dataset_class_name == 'NuScenesDataset': + dataset_cfg.update( + use_valid_flag=True, + pipeline=[ + dict( + type='LoadPointsFromFile', + coord_type='LIDAR', + load_dim=5, + use_dim=5), + dict( + type='LoadPointsFromMultiSweeps', + sweeps_num=10, + use_dim=[0, 1, 2, 3, 4], + pad_empty_sweeps=True, + remove_close=True), + dict( + type='LoadAnnotations3D', + with_bbox_3d=True, + with_label_3d=True) + ]) + + elif dataset_class_name == 'WaymoDataset': + file_client_args = dict(backend='disk') + dataset_cfg.update( + test_mode=False, + split='training', + modality=dict( + use_lidar=True, + use_depth=False, + use_lidar_intensity=True, + use_camera=False, + ), + pipeline=[ + dict( + type='LoadPointsFromFile', + coord_type='LIDAR', + load_dim=6, + use_dim=5, + file_client_args=file_client_args), + dict( + type='LoadAnnotations3D', + with_bbox_3d=True, + with_label_3d=True, + file_client_args=file_client_args) + ]) + + dataset = build_dataset(dataset_cfg) + + if database_save_path is None: + database_save_path = osp.join(data_path, f'{info_prefix}_gt_database') + if db_info_save_path is None: + db_info_save_path = osp.join(data_path, + f'{info_prefix}_dbinfos_train.pkl') + mmcv.mkdir_or_exist(database_save_path) + all_db_infos = dict() + if with_mask: + coco = COCO(osp.join(data_path, mask_anno_path)) + imgIds = coco.getImgIds() + file2id = dict() + for i in imgIds: + info = coco.loadImgs([i])[0] + file2id.update({info['file_name']: i}) + + group_counter = 0 + for j in track_iter_progress(list(range(len(dataset)))): + input_dict = dataset.get_data_info(j) + dataset.pre_pipeline(input_dict) + example = dataset.pipeline(input_dict) + annos = example['ann_info'] + image_idx = example['sample_idx'] + points = example['points'].tensor.numpy() + gt_boxes_3d = annos['gt_bboxes_3d'].tensor.numpy() + names = annos['gt_names'] + group_dict = dict() + if 'group_ids' in annos: + group_ids = annos['group_ids'] + else: + group_ids = np.arange(gt_boxes_3d.shape[0], dtype=np.int64) + difficulty = np.zeros(gt_boxes_3d.shape[0], dtype=np.int32) + if 'difficulty' in annos: + difficulty = annos['difficulty'] + + num_obj = gt_boxes_3d.shape[0] + point_indices = box_np_ops.points_in_rbbox(points, gt_boxes_3d) + + if with_mask: + # prepare masks + gt_boxes = annos['gt_bboxes'] + img_path = osp.split(example['img_info']['filename'])[-1] + if img_path not in file2id.keys(): + print(f'skip image {img_path} for empty mask') + continue + img_id = file2id[img_path] + kins_annIds = coco.getAnnIds(imgIds=img_id) + kins_raw_info = coco.loadAnns(kins_annIds) + kins_ann_info = _parse_coco_ann_info(kins_raw_info) + h, w = annos['img_shape'][:2] + gt_masks = [ + _poly2mask(mask, h, w) for mask in kins_ann_info['masks'] + ] + # get mask inds based on iou mapping + bbox_iou = bbox_overlaps(kins_ann_info['bboxes'], gt_boxes) + mask_inds = bbox_iou.argmax(axis=0) + valid_inds = (bbox_iou.max(axis=0) > 0.5) + + # mask the image + # use more precise crop when it is ready + # object_img_patches = np.ascontiguousarray( + # np.stack(object_img_patches, axis=0).transpose(0, 3, 1, 2)) + # crop image patches using roi_align + # object_img_patches = crop_image_patch_v2( + # torch.Tensor(gt_boxes), + # torch.Tensor(mask_inds).long(), object_img_patches) + object_img_patches, object_masks = crop_image_patch( + gt_boxes, gt_masks, mask_inds, annos['img']) + + for i in range(num_obj): + filename = f'{image_idx}_{names[i]}_{i}.bin' + abs_filepath = osp.join(database_save_path, filename) + rel_filepath = osp.join(f'{info_prefix}_gt_database', filename) + + # save point clouds and image patches for each object + gt_points = points[point_indices[:, i]] + gt_points[:, :3] -= gt_boxes_3d[i, :3] + + if with_mask: + if object_masks[i].sum() == 0 or not valid_inds[i]: + # Skip object for empty or invalid mask + continue + img_patch_path = abs_filepath + '.png' + mask_patch_path = abs_filepath + '.mask.png' + mmcv.imwrite(object_img_patches[i], img_patch_path) + mmcv.imwrite(object_masks[i], mask_patch_path) + + with open(abs_filepath, 'w') as f: + gt_points.tofile(f) + + if (used_classes is None) or names[i] in used_classes: + db_info = { + 'name': names[i], + 'path': rel_filepath, + 'image_idx': image_idx, + 'gt_idx': i, + 'box3d_lidar': gt_boxes_3d[i], + 'num_points_in_gt': gt_points.shape[0], + 'difficulty': difficulty[i], + } + local_group_id = group_ids[i] + # if local_group_id >= 0: + if local_group_id not in group_dict: + group_dict[local_group_id] = group_counter + group_counter += 1 + db_info['group_id'] = group_dict[local_group_id] + if 'score' in annos: + db_info['score'] = annos['score'][i] + if with_mask: + db_info.update({'box2d_camera': gt_boxes[i]}) + if names[i] in all_db_infos: + all_db_infos[names[i]].append(db_info) + else: + all_db_infos[names[i]] = [db_info] + + for k, v in all_db_infos.items(): + print(f'load {len(v)} {k} database infos') + + with open(db_info_save_path, 'wb') as f: + pickle.dump(all_db_infos, f) diff --git a/tools/data_converter/indoor_converter.py b/tools/data_converter/indoor_converter.py new file mode 100755 index 0000000..68a989b --- /dev/null +++ b/tools/data_converter/indoor_converter.py @@ -0,0 +1,111 @@ +# Copyright (c) OpenMMLab. All rights reserved. +import mmcv +import numpy as np +import os + +# from tools.data_converter.s3dis_data_utils import S3DISData, S3DISSegData +# from tools.data_converter.scannet_data_utils import ScanNetData, ScanNetSegData +# from tools.data_converter.sunrgbd_data_utils import SUNRGBDData + +from .s3dis_data_utils import S3DISData, S3DISSegData +from .scannet_data_utils import ScanNetData, ScanNetSegData +from .sunrgbd_data_utils import SUNRGBDData + +def create_indoor_info_file(data_path, + pkl_prefix='sunrgbd', + save_path=None, + use_v1=False, + workers=4): + """Create indoor information file. + + Get information of the raw data and save it to the pkl file. + + Args: + data_path (str): Path of the data. + pkl_prefix (str): Prefix of the pkl to be saved. Default: 'sunrgbd'. + save_path (str): Path of the pkl to be saved. Default: None. + use_v1 (bool): Whether to use v1. Default: False. + workers (int): Number of threads to be used. Default: 4. + """ + assert os.path.exists(data_path) + assert pkl_prefix in ['sunrgbd', 'scannet', 's3dis'], \ + f'unsupported indoor dataset {pkl_prefix}' + save_path = data_path if save_path is None else save_path + assert os.path.exists(save_path) + + # generate infos for both detection and segmentation task + if pkl_prefix in ['sunrgbd', 'scannet']: + train_filename = os.path.join(save_path, + f'{pkl_prefix}_infos_train.pkl') + val_filename = os.path.join(save_path, f'{pkl_prefix}_infos_val.pkl') + if pkl_prefix == 'sunrgbd': + # SUN RGB-D has a train-val split + train_dataset = SUNRGBDData( + root_path=data_path, split='train', use_v1=use_v1) + val_dataset = SUNRGBDData( + root_path=data_path, split='val', use_v1=use_v1) + else: + # ScanNet has a train-val-test split + train_dataset = ScanNetData(root_path=data_path, split='train') + val_dataset = ScanNetData(root_path=data_path, split='val') + test_dataset = ScanNetData(root_path=data_path, split='test') + test_filename = os.path.join(save_path, + f'{pkl_prefix}_infos_test.pkl') + + infos_train = train_dataset.get_infos( + num_workers=workers, has_label=True) + mmcv.dump(infos_train, train_filename, 'pkl') + print(f'{pkl_prefix} info train file is saved to {train_filename}') + + infos_val = val_dataset.get_infos(num_workers=workers, has_label=True) + mmcv.dump(infos_val, val_filename, 'pkl') + print(f'{pkl_prefix} info val file is saved to {val_filename}') + + if pkl_prefix == 'scannet': + infos_test = test_dataset.get_infos( + num_workers=workers, has_label=False) + mmcv.dump(infos_test, test_filename, 'pkl') + print(f'{pkl_prefix} info test file is saved to {test_filename}') + + # generate infos for the semantic segmentation task + # e.g. re-sampled scene indexes and label weights + # scene indexes are used to re-sample rooms with different number of points + # label weights are used to balance classes with different number of points + if pkl_prefix == 'scannet': + # label weight computation function is adopted from + # https://github.com/charlesq34/pointnet2/blob/master/scannet/scannet_dataset.py#L24 + train_dataset = ScanNetSegData( + data_root=data_path, + ann_file=train_filename, + split='train', + num_points=8192, + label_weight_func=lambda x: 1.0 / np.log(1.2 + x)) + # TODO: do we need to generate on val set? + val_dataset = ScanNetSegData( + data_root=data_path, + ann_file=val_filename, + split='val', + num_points=8192, + label_weight_func=lambda x: 1.0 / np.log(1.2 + x)) + # no need to generate for test set + train_dataset.get_seg_infos() + val_dataset.get_seg_infos() + elif pkl_prefix == 's3dis': + # S3DIS doesn't have a fixed train-val split + # it has 6 areas instead, so we generate info file for each of them + # in training, we will use dataset to wrap different areas + splits = [f'Area_{i}' for i in [1, 2, 3, 4, 5, 6]] + for split in splits: + dataset = S3DISData(root_path=data_path, split=split) + info = dataset.get_infos(num_workers=workers, has_label=True) + filename = os.path.join(save_path, + f'{pkl_prefix}_infos_{split}.pkl') + mmcv.dump(info, filename, 'pkl') + print(f'{pkl_prefix} info {split} file is saved to {filename}') + seg_dataset = S3DISSegData( + data_root=data_path, + ann_file=filename, + split=split, + num_points=4096, + label_weight_func=lambda x: 1.0 / np.log(1.2 + x)) + seg_dataset.get_seg_infos() diff --git a/tools/data_converter/kitti_converter.py b/tools/data_converter/kitti_converter.py new file mode 100755 index 0000000..47eec6a --- /dev/null +++ b/tools/data_converter/kitti_converter.py @@ -0,0 +1,546 @@ +# Copyright (c) OpenMMLab. All rights reserved. +import mmcv +import numpy as np +from collections import OrderedDict +from nuscenes.utils.geometry_utils import view_points +from pathlib import Path + +from mmdet3d.core.bbox import box_np_ops +from .kitti_data_utils import get_kitti_image_info, get_waymo_image_info +from .nuscenes_converter import post_process_coords + +kitti_categories = ('Pedestrian', 'Cyclist', 'Car') + + +def convert_to_kitti_info_version2(info): + """convert kitti info v1 to v2 if possible. + + Args: + info (dict): Info of the input kitti data. + - image (dict): image info + - calib (dict): calibration info + - point_cloud (dict): point cloud info + """ + if 'image' not in info or 'calib' not in info or 'point_cloud' not in info: + info['image'] = { + 'image_shape': info['img_shape'], + 'image_idx': info['image_idx'], + 'image_path': info['img_path'], + } + info['calib'] = { + 'R0_rect': info['calib/R0_rect'], + 'Tr_velo_to_cam': info['calib/Tr_velo_to_cam'], + 'P2': info['calib/P2'], + } + info['point_cloud'] = { + 'velodyne_path': info['velodyne_path'], + } + + +def _read_imageset_file(path): + with open(path, 'r') as f: + lines = f.readlines() + return [int(line) for line in lines] + + +def _calculate_num_points_in_gt(data_path, + infos, + relative_path, + remove_outside=True, + num_features=4): + for info in mmcv.track_iter_progress(infos): + pc_info = info['point_cloud'] + image_info = info['image'] + calib = info['calib'] + if relative_path: + v_path = str(Path(data_path) / pc_info['velodyne_path']) + else: + v_path = pc_info['velodyne_path'] + points_v = np.fromfile( + v_path, dtype=np.float32, count=-1).reshape([-1, num_features]) + rect = calib['R0_rect'] + Trv2c = calib['Tr_velo_to_cam'] + P2 = calib['P2'] + if remove_outside: + points_v = box_np_ops.remove_outside_points( + points_v, rect, Trv2c, P2, image_info['image_shape']) + + # points_v = points_v[points_v[:, 0] > 0] + annos = info['annos'] + num_obj = len([n for n in annos['name'] if n != 'DontCare']) + # annos = kitti.filter_kitti_anno(annos, ['DontCare']) + dims = annos['dimensions'][:num_obj] + loc = annos['location'][:num_obj] + rots = annos['rotation_y'][:num_obj] + gt_boxes_camera = np.concatenate([loc, dims, rots[..., np.newaxis]], + axis=1) + gt_boxes_lidar = box_np_ops.box_camera_to_lidar( + gt_boxes_camera, rect, Trv2c) + indices = box_np_ops.points_in_rbbox(points_v[:, :3], gt_boxes_lidar) + num_points_in_gt = indices.sum(0) + num_ignored = len(annos['dimensions']) - num_obj + num_points_in_gt = np.concatenate( + [num_points_in_gt, -np.ones([num_ignored])]) + annos['num_points_in_gt'] = num_points_in_gt.astype(np.int32) + + +def create_kitti_info_file(data_path, + pkl_prefix='kitti', + save_path=None, + relative_path=True): + """Create info file of KITTI dataset. + + Given the raw data, generate its related info file in pkl format. + + Args: + data_path (str): Path of the data root. + pkl_prefix (str): Prefix of the info file to be generated. + save_path (str): Path to save the info file. + relative_path (bool): Whether to use relative path. + """ + imageset_folder = Path(data_path) / 'ImageSets' + train_img_ids = _read_imageset_file(str(imageset_folder / 'train.txt')) + + val_img_ids = _read_imageset_file(str(imageset_folder / 'val.txt')) + test_img_ids = _read_imageset_file(str(imageset_folder / 'test.txt')) + + print('Generate info. this may take several minutes.') + if save_path is None: + save_path = Path(data_path) + else: + save_path = Path(save_path) + kitti_infos_train = get_kitti_image_info( + data_path, + training=True, + velodyne=True, + calib=True, + image_ids=train_img_ids, + relative_path=relative_path) + _calculate_num_points_in_gt(data_path, kitti_infos_train, relative_path) + filename = save_path / f'{pkl_prefix}_infos_train.pkl' + print(f'Kitti info train file is saved to {filename}') + mmcv.dump(kitti_infos_train, filename) + kitti_infos_val = get_kitti_image_info( + data_path, + training=True, + velodyne=True, + calib=True, + image_ids=val_img_ids, + relative_path=relative_path) + _calculate_num_points_in_gt(data_path, kitti_infos_val, relative_path) + filename = save_path / f'{pkl_prefix}_infos_val.pkl' + print(f'Kitti info val file is saved to {filename}') + mmcv.dump(kitti_infos_val, filename) + filename = save_path / f'{pkl_prefix}_infos_trainval.pkl' + print(f'Kitti info trainval file is saved to {filename}') + mmcv.dump(kitti_infos_train + kitti_infos_val, filename) + + kitti_infos_test = get_kitti_image_info( + data_path, + training=False, + label_info=False, + velodyne=True, + calib=True, + image_ids=test_img_ids, + relative_path=relative_path) + filename = save_path / f'{pkl_prefix}_infos_test.pkl' + print(f'Kitti info test file is saved to {filename}') + mmcv.dump(kitti_infos_test, filename) + + +def create_waymo_info_file(data_path, + pkl_prefix='waymo', + save_path=None, + relative_path=True, + max_sweeps=5): + """Create info file of waymo dataset. + + Given the raw data, generate its related info file in pkl format. + + Args: + data_path (str): Path of the data root. + pkl_prefix (str): Prefix of the info file to be generated. + save_path (str | None): Path to save the info file. + relative_path (bool): Whether to use relative path. + max_sweeps (int): Max sweeps before the detection frame to be used. + """ + imageset_folder = Path(data_path) / 'ImageSets' + train_img_ids = _read_imageset_file(str(imageset_folder / 'train.txt')) + # val_img_ids = _read_imageset_file(str(imageset_folder / 'val.txt')) + # test_img_ids = _read_imageset_file(str(imageset_folder / 'test.txt')) + train_img_ids = [each for each in train_img_ids if each % 5 == 0] + print('Generate info. this may take several minutes.') + if save_path is None: + save_path = Path(data_path) + else: + save_path = Path(save_path) + waymo_infos_train = get_waymo_image_info( + data_path, + training=True, + velodyne=True, + calib=True, + pose=True, + image_ids=train_img_ids, + relative_path=relative_path, + max_sweeps=max_sweeps) + _calculate_num_points_in_gt( + data_path, + waymo_infos_train, + relative_path, + num_features=6, + remove_outside=False) + filename = save_path / f'{pkl_prefix}_infos_train.pkl' + print(f'Waymo info train file is saved to {filename}') + mmcv.dump(waymo_infos_train, filename) + # + # waymo_infos_val = get_waymo_image_info( + # data_path, + # training=True, + # velodyne=True, + # calib=True, + # pose=True, + # image_ids=val_img_ids, + # relative_path=relative_path, + # max_sweeps=max_sweeps) + # _calculate_num_points_in_gt( + # data_path, + # waymo_infos_val, + # relative_path, + # num_features=6, + # remove_outside=False) + # filename = save_path / f'{pkl_prefix}_infos_val.pkl' + # print(f'Waymo info val file is saved to {filename}') + # mmcv.dump(waymo_infos_val, filename) + # filename = save_path / f'{pkl_prefix}_infos_trainval.pkl' + # print(f'Waymo info trainval file is saved to {filename}') + # mmcv.dump(waymo_infos_train + waymo_infos_val, filename) + # waymo_infos_test = get_waymo_image_info( + # data_path, + # training=False, + # label_info=False, + # velodyne=True, + # calib=True, + # pose=True, + # image_ids=test_img_ids, + # relative_path=relative_path, + # max_sweeps=max_sweeps) + # filename = save_path / f'{pkl_prefix}_infos_test.pkl' + # print(f'Waymo info test file is saved to {filename}') + # mmcv.dump(waymo_infos_test, filename) + + +def _create_reduced_point_cloud(data_path, + info_path, + save_path=None, + back=False, + num_features=4, + front_camera_id=2): + """Create reduced point clouds for given info. + + Args: + data_path (str): Path of original data. + info_path (str): Path of data info. + save_path (str | None): Path to save reduced point cloud data. + Default: None. + back (bool): Whether to flip the points to back. + num_features (int): Number of point features. Default: 4. + front_camera_id (int): The referenced/front camera ID. Default: 2. + """ + kitti_infos = mmcv.load(info_path) + + for info in mmcv.track_iter_progress(kitti_infos): + pc_info = info['point_cloud'] + image_info = info['image'] + calib = info['calib'] + + v_path = pc_info['velodyne_path'] + v_path = Path(data_path) / v_path + points_v = np.fromfile( + str(v_path), dtype=np.float32, + count=-1).reshape([-1, num_features]) + rect = calib['R0_rect'] + if front_camera_id == 2: + P2 = calib['P2'] + else: + P2 = calib[f'P{str(front_camera_id)}'] + Trv2c = calib['Tr_velo_to_cam'] + # first remove z < 0 points + # keep = points_v[:, -1] > 0 + # points_v = points_v[keep] + # then remove outside. + if back: + points_v[:, 0] = -points_v[:, 0] + points_v = box_np_ops.remove_outside_points(points_v, rect, Trv2c, P2, + image_info['image_shape']) + if save_path is None: + save_dir = v_path.parent.parent / (v_path.parent.stem + '_reduced') + if not save_dir.exists(): + save_dir.mkdir() + save_filename = save_dir / v_path.name + # save_filename = str(v_path) + '_reduced' + if back: + save_filename += '_back' + else: + save_filename = str(Path(save_path) / v_path.name) + if back: + save_filename += '_back' + with open(save_filename, 'w') as f: + points_v.tofile(f) + + +def create_reduced_point_cloud(data_path, + pkl_prefix, + train_info_path=None, + val_info_path=None, + test_info_path=None, + save_path=None, + with_back=False): + """Create reduced point clouds for training/validation/testing. + + Args: + data_path (str): Path of original data. + pkl_prefix (str): Prefix of info files. + train_info_path (str | None): Path of training set info. + Default: None. + val_info_path (str | None): Path of validation set info. + Default: None. + test_info_path (str | None): Path of test set info. + Default: None. + save_path (str | None): Path to save reduced point cloud data. + with_back (bool): Whether to flip the points to back. + """ + if train_info_path is None: + train_info_path = Path(data_path) / f'{pkl_prefix}_infos_train.pkl' + if val_info_path is None: + val_info_path = Path(data_path) / f'{pkl_prefix}_infos_val.pkl' + if test_info_path is None: + test_info_path = Path(data_path) / f'{pkl_prefix}_infos_test.pkl' + + print('create reduced point cloud for training set') + _create_reduced_point_cloud(data_path, train_info_path, save_path) + print('create reduced point cloud for validation set') + _create_reduced_point_cloud(data_path, val_info_path, save_path) + print('create reduced point cloud for testing set') + _create_reduced_point_cloud(data_path, test_info_path, save_path) + if with_back: + _create_reduced_point_cloud( + data_path, train_info_path, save_path, back=True) + _create_reduced_point_cloud( + data_path, val_info_path, save_path, back=True) + _create_reduced_point_cloud( + data_path, test_info_path, save_path, back=True) + + +def export_2d_annotation(root_path, info_path, mono3d=True): + """Export 2d annotation from the info file and raw data. + + Args: + root_path (str): Root path of the raw data. + info_path (str): Path of the info file. + mono3d (bool): Whether to export mono3d annotation. Default: True. + """ + # get bbox annotations for camera + kitti_infos = mmcv.load(info_path) + cat2Ids = [ + dict(id=kitti_categories.index(cat_name), name=cat_name) + for cat_name in kitti_categories + ] + coco_ann_id = 0 + coco_2d_dict = dict(annotations=[], images=[], categories=cat2Ids) + from os import path as osp + for info in mmcv.track_iter_progress(kitti_infos): + coco_infos = get_2d_boxes(info, occluded=[0, 1, 2, 3], mono3d=mono3d) + (height, width, + _) = mmcv.imread(osp.join(root_path, + info['image']['image_path'])).shape + coco_2d_dict['images'].append( + dict( + file_name=info['image']['image_path'], + id=info['image']['image_idx'], + Tri2v=info['calib']['Tr_imu_to_velo'], + Trv2c=info['calib']['Tr_velo_to_cam'], + rect=info['calib']['R0_rect'], + cam_intrinsic=info['calib']['P2'], + width=width, + height=height)) + for coco_info in coco_infos: + if coco_info is None: + continue + # add an empty key for coco format + coco_info['segmentation'] = [] + coco_info['id'] = coco_ann_id + coco_2d_dict['annotations'].append(coco_info) + coco_ann_id += 1 + if mono3d: + json_prefix = f'{info_path[:-4]}_mono3d' + else: + json_prefix = f'{info_path[:-4]}' + mmcv.dump(coco_2d_dict, f'{json_prefix}.coco.json') + + +def get_2d_boxes(info, occluded, mono3d=True): + """Get the 2D annotation records for a given info. + + Args: + info: Information of the given sample data. + occluded: Integer (0, 1, 2, 3) indicating occlusion state: \ + 0 = fully visible, 1 = partly occluded, 2 = largely occluded, \ + 3 = unknown, -1 = DontCare + mono3d (bool): Whether to get boxes with mono3d annotation. + + Return: + list[dict]: List of 2D annotation record that belongs to the input + `sample_data_token`. + """ + # Get calibration information + P2 = info['calib']['P2'] + + repro_recs = [] + # if no annotations in info (test dataset), then return + if 'annos' not in info: + return repro_recs + + # Get all the annotation with the specified visibilties. + ann_dicts = info['annos'] + mask = [(ocld in occluded) for ocld in ann_dicts['occluded']] + for k in ann_dicts.keys(): + ann_dicts[k] = ann_dicts[k][mask] + + # convert dict of list to list of dict + ann_recs = [] + for i in range(len(ann_dicts['occluded'])): + ann_rec = {} + for k in ann_dicts.keys(): + ann_rec[k] = ann_dicts[k][i] + ann_recs.append(ann_rec) + + for ann_idx, ann_rec in enumerate(ann_recs): + # Augment sample_annotation with token information. + ann_rec['sample_annotation_token'] = \ + f"{info['image']['image_idx']}.{ann_idx}" + ann_rec['sample_data_token'] = info['image']['image_idx'] + sample_data_token = info['image']['image_idx'] + + loc = ann_rec['location'][np.newaxis, :] + dim = ann_rec['dimensions'][np.newaxis, :] + rot = ann_rec['rotation_y'][np.newaxis, np.newaxis] + # transform the center from [0.5, 1.0, 0.5] to [0.5, 0.5, 0.5] + dst = np.array([0.5, 0.5, 0.5]) + src = np.array([0.5, 1.0, 0.5]) + loc = loc + dim * (dst - src) + offset = (info['calib']['P2'][0, 3] - info['calib']['P0'][0, 3]) \ + / info['calib']['P2'][0, 0] + loc_3d = np.copy(loc) + loc_3d[0, 0] += offset + gt_bbox_3d = np.concatenate([loc, dim, rot], axis=1).astype(np.float32) + + # Filter out the corners that are not in front of the calibrated + # sensor. + corners_3d = box_np_ops.center_to_corner_box3d( + gt_bbox_3d[:, :3], + gt_bbox_3d[:, 3:6], + gt_bbox_3d[:, 6], [0.5, 0.5, 0.5], + axis=1) + corners_3d = corners_3d[0].T # (1, 8, 3) -> (3, 8) + in_front = np.argwhere(corners_3d[2, :] > 0).flatten() + corners_3d = corners_3d[:, in_front] + + # Project 3d box to 2d. + camera_intrinsic = P2 + corner_coords = view_points(corners_3d, camera_intrinsic, + True).T[:, :2].tolist() + + # Keep only corners that fall within the image. + final_coords = post_process_coords(corner_coords) + + # Skip if the convex hull of the re-projected corners + # does not intersect the image canvas. + if final_coords is None: + continue + else: + min_x, min_y, max_x, max_y = final_coords + + # Generate dictionary record to be included in the .json file. + repro_rec = generate_record(ann_rec, min_x, min_y, max_x, max_y, + sample_data_token, + info['image']['image_path']) + + # If mono3d=True, add 3D annotations in camera coordinates + if mono3d and (repro_rec is not None): + repro_rec['bbox_cam3d'] = np.concatenate( + [loc_3d, dim, rot], + axis=1).astype(np.float32).squeeze().tolist() + repro_rec['velo_cam3d'] = -1 # no velocity in KITTI + + center3d = np.array(loc).reshape([1, 3]) + center2d = box_np_ops.points_cam2img( + center3d, camera_intrinsic, with_depth=True) + repro_rec['center2d'] = center2d.squeeze().tolist() + # normalized center2D + depth + # samples with depth < 0 will be removed + if repro_rec['center2d'][2] <= 0: + continue + + repro_rec['attribute_name'] = -1 # no attribute in KITTI + repro_rec['attribute_id'] = -1 + + repro_recs.append(repro_rec) + + return repro_recs + + +def generate_record(ann_rec, x1, y1, x2, y2, sample_data_token, filename): + """Generate one 2D annotation record given various informations on top of + the 2D bounding box coordinates. + + Args: + ann_rec (dict): Original 3d annotation record. + x1 (float): Minimum value of the x coordinate. + y1 (float): Minimum value of the y coordinate. + x2 (float): Maximum value of the x coordinate. + y2 (float): Maximum value of the y coordinate. + sample_data_token (str): Sample data token. + filename (str):The corresponding image file where the annotation + is present. + + Returns: + dict: A sample 2D annotation record. + - file_name (str): flie name + - image_id (str): sample data token + - area (float): 2d box area + - category_name (str): category name + - category_id (int): category id + - bbox (list[float]): left x, top y, dx, dy of 2d box + - iscrowd (int): whether the area is crowd + """ + repro_rec = OrderedDict() + repro_rec['sample_data_token'] = sample_data_token + coco_rec = dict() + + key_mapping = { + 'name': 'category_name', + 'num_points_in_gt': 'num_lidar_pts', + 'sample_annotation_token': 'sample_annotation_token', + 'sample_data_token': 'sample_data_token', + } + + for key, value in ann_rec.items(): + if key in key_mapping.keys(): + repro_rec[key_mapping[key]] = value + + repro_rec['bbox_corners'] = [x1, y1, x2, y2] + repro_rec['filename'] = filename + + coco_rec['file_name'] = filename + coco_rec['image_id'] = sample_data_token + coco_rec['area'] = (y2 - y1) * (x2 - x1) + + if repro_rec['category_name'] not in kitti_categories: + return None + cat_name = repro_rec['category_name'] + coco_rec['category_name'] = cat_name + coco_rec['category_id'] = kitti_categories.index(cat_name) + coco_rec['bbox'] = [x1, y1, x2 - x1, y2 - y1] + coco_rec['iscrowd'] = 0 + + return coco_rec diff --git a/tools/data_converter/kitti_data_utils.py b/tools/data_converter/kitti_data_utils.py new file mode 100755 index 0000000..01538e0 --- /dev/null +++ b/tools/data_converter/kitti_data_utils.py @@ -0,0 +1,554 @@ +# Copyright (c) OpenMMLab. All rights reserved. +import numpy as np +from collections import OrderedDict +from concurrent import futures as futures +from os import path as osp +from pathlib import Path +from skimage import io + + +def get_image_index_str(img_idx, use_prefix_id=False): + if use_prefix_id: + return '{:07d}'.format(img_idx) + else: + return '{:06d}'.format(img_idx) + + +def get_kitti_info_path(idx, + prefix, + info_type='image_2', + file_tail='.png', + training=True, + relative_path=True, + exist_check=True, + use_prefix_id=False): + img_idx_str = get_image_index_str(idx, use_prefix_id) + img_idx_str += file_tail + prefix = Path(prefix) + if training: + file_path = Path('training') / info_type / img_idx_str + else: + file_path = Path('testing') / info_type / img_idx_str + if exist_check and not (prefix / file_path).exists(): + raise ValueError('file not exist: {}'.format(file_path)) + if relative_path: + return str(file_path) + else: + return str(prefix / file_path) + + +def get_image_path(idx, + prefix, + training=True, + relative_path=True, + exist_check=True, + info_type='image_2', + use_prefix_id=False): + return get_kitti_info_path(idx, prefix, info_type, '.png', training, + relative_path, exist_check, use_prefix_id) + + +def get_label_path(idx, + prefix, + training=True, + relative_path=True, + exist_check=True, + info_type='label_2', + use_prefix_id=False): + return get_kitti_info_path(idx, prefix, info_type, '.txt', training, + relative_path, exist_check, use_prefix_id) + + +def get_velodyne_path(idx, + prefix, + training=True, + relative_path=True, + exist_check=True, + use_prefix_id=False): + return get_kitti_info_path(idx, prefix, 'velodyne', '.bin', training, + relative_path, exist_check, use_prefix_id) + + +def get_calib_path(idx, + prefix, + training=True, + relative_path=True, + exist_check=True, + use_prefix_id=False): + return get_kitti_info_path(idx, prefix, 'calib', '.txt', training, + relative_path, exist_check, use_prefix_id) + + +def get_pose_path(idx, + prefix, + training=True, + relative_path=True, + exist_check=True, + use_prefix_id=False): + return get_kitti_info_path(idx, prefix, 'pose', '.txt', training, + relative_path, exist_check, use_prefix_id) + + +def get_label_anno(label_path): + annotations = {} + annotations.update({ + 'name': [], + 'truncated': [], + 'occluded': [], + 'alpha': [], + 'bbox': [], + 'dimensions': [], + 'location': [], + 'rotation_y': [] + }) + with open(label_path, 'r') as f: + lines = f.readlines() + # if len(lines) == 0 or len(lines[0]) < 15: + # content = [] + # else: + content = [line.strip().split(' ') for line in lines] + num_objects = len([x[0] for x in content if x[0] != 'DontCare']) + annotations['name'] = np.array([x[0] for x in content]) + num_gt = len(annotations['name']) + annotations['truncated'] = np.array([float(x[1]) for x in content]) + annotations['occluded'] = np.array([int(x[2]) for x in content]) + annotations['alpha'] = np.array([float(x[3]) for x in content]) + annotations['bbox'] = np.array([[float(info) for info in x[4:8]] + for x in content]).reshape(-1, 4) + # dimensions will convert hwl format to standard lhw(camera) format. + annotations['dimensions'] = np.array([[float(info) for info in x[8:11]] + for x in content + ]).reshape(-1, 3)[:, [2, 0, 1]] + annotations['location'] = np.array([[float(info) for info in x[11:14]] + for x in content]).reshape(-1, 3) + annotations['rotation_y'] = np.array([float(x[14]) + for x in content]).reshape(-1) + if len(content) != 0 and len(content[0]) == 16: # have score + annotations['score'] = np.array([float(x[15]) for x in content]) + else: + annotations['score'] = np.zeros((annotations['bbox'].shape[0], )) + index = list(range(num_objects)) + [-1] * (num_gt - num_objects) + annotations['index'] = np.array(index, dtype=np.int32) + annotations['group_ids'] = np.arange(num_gt, dtype=np.int32) + return annotations + + +def _extend_matrix(mat): + mat = np.concatenate([mat, np.array([[0., 0., 0., 1.]])], axis=0) + return mat + + +def get_kitti_image_info(path, + training=True, + label_info=True, + velodyne=False, + calib=False, + image_ids=7481, + extend_matrix=True, + num_worker=8, + relative_path=True, + with_imageshape=True): + """ + KITTI annotation format version 2: + { + [optional]points: [N, 3+] point cloud + [optional, for kitti]image: { + image_idx: ... + image_path: ... + image_shape: ... + } + point_cloud: { + num_features: 4 + velodyne_path: ... + } + [optional, for kitti]calib: { + R0_rect: ... + Tr_velo_to_cam: ... + P2: ... + } + annos: { + location: [num_gt, 3] array + dimensions: [num_gt, 3] array + rotation_y: [num_gt] angle array + name: [num_gt] ground truth name array + [optional]difficulty: kitti difficulty + [optional]group_ids: used for multi-part object + } + } + """ + root_path = Path(path) + if not isinstance(image_ids, list): + image_ids = list(range(image_ids)) + + def map_func(idx): + info = {} + pc_info = {'num_features': 4} + calib_info = {} + + image_info = {'image_idx': idx} + annotations = None + if velodyne: + pc_info['velodyne_path'] = get_velodyne_path( + idx, path, training, relative_path) + image_info['image_path'] = get_image_path(idx, path, training, + relative_path) + if with_imageshape: + img_path = image_info['image_path'] + if relative_path: + img_path = str(root_path / img_path) + image_info['image_shape'] = np.array( + io.imread(img_path).shape[:2], dtype=np.int32) + if label_info: + label_path = get_label_path(idx, path, training, relative_path) + if relative_path: + label_path = str(root_path / label_path) + annotations = get_label_anno(label_path) + info['image'] = image_info + info['point_cloud'] = pc_info + if calib: + calib_path = get_calib_path( + idx, path, training, relative_path=False) + with open(calib_path, 'r') as f: + lines = f.readlines() + P0 = np.array([float(info) for info in lines[0].split(' ')[1:13] + ]).reshape([3, 4]) + P1 = np.array([float(info) for info in lines[1].split(' ')[1:13] + ]).reshape([3, 4]) + P2 = np.array([float(info) for info in lines[2].split(' ')[1:13] + ]).reshape([3, 4]) + P3 = np.array([float(info) for info in lines[3].split(' ')[1:13] + ]).reshape([3, 4]) + if extend_matrix: + P0 = _extend_matrix(P0) + P1 = _extend_matrix(P1) + P2 = _extend_matrix(P2) + P3 = _extend_matrix(P3) + R0_rect = np.array([ + float(info) for info in lines[4].split(' ')[1:10] + ]).reshape([3, 3]) + if extend_matrix: + rect_4x4 = np.zeros([4, 4], dtype=R0_rect.dtype) + rect_4x4[3, 3] = 1. + rect_4x4[:3, :3] = R0_rect + else: + rect_4x4 = R0_rect + + Tr_velo_to_cam = np.array([ + float(info) for info in lines[5].split(' ')[1:13] + ]).reshape([3, 4]) + Tr_imu_to_velo = np.array([ + float(info) for info in lines[6].split(' ')[1:13] + ]).reshape([3, 4]) + if extend_matrix: + Tr_velo_to_cam = _extend_matrix(Tr_velo_to_cam) + Tr_imu_to_velo = _extend_matrix(Tr_imu_to_velo) + calib_info['P0'] = P0 + calib_info['P1'] = P1 + calib_info['P2'] = P2 + calib_info['P3'] = P3 + calib_info['R0_rect'] = rect_4x4 + calib_info['Tr_velo_to_cam'] = Tr_velo_to_cam + calib_info['Tr_imu_to_velo'] = Tr_imu_to_velo + info['calib'] = calib_info + + if annotations is not None: + info['annos'] = annotations + add_difficulty_to_annos(info) + return info + + with futures.ThreadPoolExecutor(num_worker) as executor: + image_infos = executor.map(map_func, image_ids) + + return list(image_infos) + + +def get_waymo_image_info(path, + training=True, + label_info=True, + velodyne=False, + calib=False, + pose=False, + image_ids=7481, + extend_matrix=True, + num_worker=8, + relative_path=True, + with_imageshape=True, + max_sweeps=5): + """ + Waymo annotation format version like KITTI: + { + [optional]points: [N, 3+] point cloud + [optional, for kitti]image: { + image_idx: ... + image_path: ... + image_shape: ... + } + point_cloud: { + num_features: 6 + velodyne_path: ... + } + [optional, for kitti]calib: { + R0_rect: ... + Tr_velo_to_cam0: ... + P0: ... + } + annos: { + location: [num_gt, 3] array + dimensions: [num_gt, 3] array + rotation_y: [num_gt] angle array + name: [num_gt] ground truth name array + [optional]difficulty: kitti difficulty + [optional]group_ids: used for multi-part object + } + } + """ + root_path = Path(path) + if not isinstance(image_ids, list): + image_ids = list(range(image_ids)) + + def map_func(idx): + info = {} + pc_info = {'num_features': 6} + calib_info = {} + + image_info = {'image_idx': idx} + annotations = None + if velodyne: + pc_info['velodyne_path'] = get_velodyne_path( + idx, path, training, relative_path, use_prefix_id=True) + points = np.fromfile( + Path(path) / pc_info['velodyne_path'], dtype=np.float32) + points = np.copy(points).reshape(-1, pc_info['num_features']) + info['timestamp'] = np.int64(points[0, -1]) + # values of the last dim are all the timestamp + image_info['image_path'] = get_image_path( + idx, + path, + training, + relative_path, + info_type='image_0', + use_prefix_id=True) + if with_imageshape: + img_path = image_info['image_path'] + if relative_path: + img_path = str(root_path / img_path) + image_info['image_shape'] = np.array( + io.imread(img_path).shape[:2], dtype=np.int32) + if label_info: + label_path = get_label_path( + idx, + path, + training, + relative_path, + info_type='label_all', + use_prefix_id=True) + if relative_path: + label_path = str(root_path / label_path) + annotations = get_label_anno(label_path) + info['image'] = image_info + info['point_cloud'] = pc_info + if calib: + calib_path = get_calib_path( + idx, path, training, relative_path=False, use_prefix_id=True) + with open(calib_path, 'r') as f: + lines = f.readlines() + P0 = np.array([float(info) for info in lines[0].split(' ')[1:13] + ]).reshape([3, 4]) + P1 = np.array([float(info) for info in lines[1].split(' ')[1:13] + ]).reshape([3, 4]) + P2 = np.array([float(info) for info in lines[2].split(' ')[1:13] + ]).reshape([3, 4]) + P3 = np.array([float(info) for info in lines[3].split(' ')[1:13] + ]).reshape([3, 4]) + P4 = np.array([float(info) for info in lines[4].split(' ')[1:13] + ]).reshape([3, 4]) + if extend_matrix: + P0 = _extend_matrix(P0) + P1 = _extend_matrix(P1) + P2 = _extend_matrix(P2) + P3 = _extend_matrix(P3) + P4 = _extend_matrix(P4) + R0_rect = np.array([ + float(info) for info in lines[5].split(' ')[1:10] + ]).reshape([3, 3]) + if extend_matrix: + rect_4x4 = np.zeros([4, 4], dtype=R0_rect.dtype) + rect_4x4[3, 3] = 1. + rect_4x4[:3, :3] = R0_rect + else: + rect_4x4 = R0_rect + + Tr_velo_to_cam = np.array([ + float(info) for info in lines[6].split(' ')[1:13] + ]).reshape([3, 4]) + if extend_matrix: + Tr_velo_to_cam = _extend_matrix(Tr_velo_to_cam) + calib_info['P0'] = P0 + calib_info['P1'] = P1 + calib_info['P2'] = P2 + calib_info['P3'] = P3 + calib_info['P4'] = P4 + calib_info['R0_rect'] = rect_4x4 + calib_info['Tr_velo_to_cam'] = Tr_velo_to_cam + info['calib'] = calib_info + if pose: + pose_path = get_pose_path( + idx, path, training, relative_path=False, use_prefix_id=True) + info['pose'] = np.loadtxt(pose_path) + + if annotations is not None: + info['annos'] = annotations + info['annos']['camera_id'] = info['annos'].pop('score') + add_difficulty_to_annos(info) + + sweeps = [] + prev_idx = idx + while len(sweeps) < max_sweeps: + prev_info = {} + prev_idx -= 1 + prev_info['velodyne_path'] = get_velodyne_path( + prev_idx, + path, + training, + relative_path, + exist_check=False, + use_prefix_id=True) + if_prev_exists = osp.exists( + Path(path) / prev_info['velodyne_path']) + if if_prev_exists: + prev_points = np.fromfile( + Path(path) / prev_info['velodyne_path'], dtype=np.float32) + prev_points = np.copy(prev_points).reshape( + -1, pc_info['num_features']) + prev_info['timestamp'] = np.int64(prev_points[0, -1]) + prev_pose_path = get_pose_path( + prev_idx, + path, + training, + relative_path=False, + use_prefix_id=True) + prev_info['pose'] = np.loadtxt(prev_pose_path) + sweeps.append(prev_info) + else: + break + info['sweeps'] = sweeps + + return info + + with futures.ThreadPoolExecutor(num_worker) as executor: + image_infos = executor.map(map_func, image_ids) + + return list(image_infos) + + +def kitti_anno_to_label_file(annos, folder): + folder = Path(folder) + for anno in annos: + image_idx = anno['metadata']['image_idx'] + label_lines = [] + for j in range(anno['bbox'].shape[0]): + label_dict = { + 'name': anno['name'][j], + 'alpha': anno['alpha'][j], + 'bbox': anno['bbox'][j], + 'location': anno['location'][j], + 'dimensions': anno['dimensions'][j], + 'rotation_y': anno['rotation_y'][j], + 'score': anno['score'][j], + } + label_line = kitti_result_line(label_dict) + label_lines.append(label_line) + label_file = folder / f'{get_image_index_str(image_idx)}.txt' + label_str = '\n'.join(label_lines) + with open(label_file, 'w') as f: + f.write(label_str) + + +def add_difficulty_to_annos(info): + min_height = [40, 25, + 25] # minimum height for evaluated groundtruth/detections + max_occlusion = [ + 0, 1, 2 + ] # maximum occlusion level of the groundtruth used for evaluation + max_trunc = [ + 0.15, 0.3, 0.5 + ] # maximum truncation level of the groundtruth used for evaluation + annos = info['annos'] + dims = annos['dimensions'] # lhw format + bbox = annos['bbox'] + height = bbox[:, 3] - bbox[:, 1] + occlusion = annos['occluded'] + truncation = annos['truncated'] + diff = [] + easy_mask = np.ones((len(dims), ), dtype=np.bool) + moderate_mask = np.ones((len(dims), ), dtype=np.bool) + hard_mask = np.ones((len(dims), ), dtype=np.bool) + i = 0 + for h, o, t in zip(height, occlusion, truncation): + if o > max_occlusion[0] or h <= min_height[0] or t > max_trunc[0]: + easy_mask[i] = False + if o > max_occlusion[1] or h <= min_height[1] or t > max_trunc[1]: + moderate_mask[i] = False + if o > max_occlusion[2] or h <= min_height[2] or t > max_trunc[2]: + hard_mask[i] = False + i += 1 + is_easy = easy_mask + is_moderate = np.logical_xor(easy_mask, moderate_mask) + is_hard = np.logical_xor(hard_mask, moderate_mask) + + for i in range(len(dims)): + if is_easy[i]: + diff.append(0) + elif is_moderate[i]: + diff.append(1) + elif is_hard[i]: + diff.append(2) + else: + diff.append(-1) + annos['difficulty'] = np.array(diff, np.int32) + return diff + + +def kitti_result_line(result_dict, precision=4): + prec_float = '{' + ':.{}f'.format(precision) + '}' + res_line = [] + all_field_default = OrderedDict([ + ('name', None), + ('truncated', -1), + ('occluded', -1), + ('alpha', -10), + ('bbox', None), + ('dimensions', [-1, -1, -1]), + ('location', [-1000, -1000, -1000]), + ('rotation_y', -10), + ('score', 0.0), + ]) + res_dict = [(key, None) for key, val in all_field_default.items()] + res_dict = OrderedDict(res_dict) + for key, val in result_dict.items(): + if all_field_default[key] is None and val is None: + raise ValueError('you must specify a value for {}'.format(key)) + res_dict[key] = val + + for key, val in res_dict.items(): + if key == 'name': + res_line.append(val) + elif key in ['truncated', 'alpha', 'rotation_y', 'score']: + if val is None: + res_line.append(str(all_field_default[key])) + else: + res_line.append(prec_float.format(val)) + elif key == 'occluded': + if val is None: + res_line.append(str(all_field_default[key])) + else: + res_line.append('{}'.format(val)) + elif key in ['bbox', 'dimensions', 'location']: + if val is None: + res_line += [str(v) for v in all_field_default[key]] + else: + res_line += [prec_float.format(v) for v in val] + else: + raise ValueError('unknown key. supported key:{}'.format( + res_dict.keys())) + return ' '.join(res_line) diff --git a/tools/data_converter/lyft_converter.py b/tools/data_converter/lyft_converter.py new file mode 100755 index 0000000..1fc1555 --- /dev/null +++ b/tools/data_converter/lyft_converter.py @@ -0,0 +1,268 @@ +# Copyright (c) OpenMMLab. All rights reserved. +import mmcv +import numpy as np +import os +from logging import warning +from lyft_dataset_sdk.lyftdataset import LyftDataset as Lyft +from os import path as osp +from pyquaternion import Quaternion + +from mmdet3d.datasets import LyftDataset +from .nuscenes_converter import (get_2d_boxes, get_available_scenes, + obtain_sensor2top) + +lyft_categories = ('car', 'truck', 'bus', 'emergency_vehicle', 'other_vehicle', + 'motorcycle', 'bicycle', 'pedestrian', 'animal') + + +def create_lyft_infos(root_path, + info_prefix, + version='v1.01-train', + max_sweeps=10): + """Create info file of lyft dataset. + + Given the raw data, generate its related info file in pkl format. + + Args: + root_path (str): Path of the data root. + info_prefix (str): Prefix of the info file to be generated. + version (str): Version of the data. + Default: 'v1.01-train' + max_sweeps (int): Max number of sweeps. + Default: 10 + """ + lyft = Lyft( + data_path=osp.join(root_path, version), + json_path=osp.join(root_path, version, version), + verbose=True) + available_vers = ['v1.01-train', 'v1.01-test'] + assert version in available_vers + if version == 'v1.01-train': + train_scenes = mmcv.list_from_file('data/lyft/train.txt') + val_scenes = mmcv.list_from_file('data/lyft/val.txt') + elif version == 'v1.01-test': + train_scenes = mmcv.list_from_file('data/lyft/test.txt') + val_scenes = [] + else: + raise ValueError('unknown') + + # filter existing scenes. + available_scenes = get_available_scenes(lyft) + available_scene_names = [s['name'] for s in available_scenes] + train_scenes = list( + filter(lambda x: x in available_scene_names, train_scenes)) + val_scenes = list(filter(lambda x: x in available_scene_names, val_scenes)) + train_scenes = set([ + available_scenes[available_scene_names.index(s)]['token'] + for s in train_scenes + ]) + val_scenes = set([ + available_scenes[available_scene_names.index(s)]['token'] + for s in val_scenes + ]) + + test = 'test' in version + if test: + print(f'test scene: {len(train_scenes)}') + else: + print(f'train scene: {len(train_scenes)}, \ + val scene: {len(val_scenes)}') + train_lyft_infos, val_lyft_infos = _fill_trainval_infos( + lyft, train_scenes, val_scenes, test, max_sweeps=max_sweeps) + + metadata = dict(version=version) + if test: + print(f'test sample: {len(train_lyft_infos)}') + data = dict(infos=train_lyft_infos, metadata=metadata) + info_name = f'{info_prefix}_infos_test' + info_path = osp.join(root_path, f'{info_name}.pkl') + mmcv.dump(data, info_path) + else: + print(f'train sample: {len(train_lyft_infos)}, \ + val sample: {len(val_lyft_infos)}') + data = dict(infos=train_lyft_infos, metadata=metadata) + train_info_name = f'{info_prefix}_infos_train' + info_path = osp.join(root_path, f'{train_info_name}.pkl') + mmcv.dump(data, info_path) + data['infos'] = val_lyft_infos + val_info_name = f'{info_prefix}_infos_val' + info_val_path = osp.join(root_path, f'{val_info_name}.pkl') + mmcv.dump(data, info_val_path) + + +def _fill_trainval_infos(lyft, + train_scenes, + val_scenes, + test=False, + max_sweeps=10): + """Generate the train/val infos from the raw data. + + Args: + lyft (:obj:`LyftDataset`): Dataset class in the Lyft dataset. + train_scenes (list[str]): Basic information of training scenes. + val_scenes (list[str]): Basic information of validation scenes. + test (bool): Whether use the test mode. In the test mode, no + annotations can be accessed. Default: False. + max_sweeps (int): Max number of sweeps. Default: 10. + + Returns: + tuple[list[dict]]: Information of training set and + validation set that will be saved to the info file. + """ + train_lyft_infos = [] + val_lyft_infos = [] + + for sample in mmcv.track_iter_progress(lyft.sample): + lidar_token = sample['data']['LIDAR_TOP'] + sd_rec = lyft.get('sample_data', sample['data']['LIDAR_TOP']) + cs_record = lyft.get('calibrated_sensor', + sd_rec['calibrated_sensor_token']) + pose_record = lyft.get('ego_pose', sd_rec['ego_pose_token']) + abs_lidar_path, boxes, _ = lyft.get_sample_data(lidar_token) + # nuScenes devkit returns more convenient relative paths while + # lyft devkit returns absolute paths + abs_lidar_path = str(abs_lidar_path) # absolute path + lidar_path = abs_lidar_path.split(f'{os.getcwd()}/')[-1] + # relative path + + mmcv.check_file_exist(lidar_path) + + info = { + 'lidar_path': lidar_path, + 'token': sample['token'], + 'sweeps': [], + 'cams': dict(), + 'lidar2ego_translation': cs_record['translation'], + 'lidar2ego_rotation': cs_record['rotation'], + 'ego2global_translation': pose_record['translation'], + 'ego2global_rotation': pose_record['rotation'], + 'timestamp': sample['timestamp'], + } + + l2e_r = info['lidar2ego_rotation'] + l2e_t = info['lidar2ego_translation'] + e2g_r = info['ego2global_rotation'] + e2g_t = info['ego2global_translation'] + l2e_r_mat = Quaternion(l2e_r).rotation_matrix + e2g_r_mat = Quaternion(e2g_r).rotation_matrix + + # obtain 6 image's information per frame + camera_types = [ + 'CAM_FRONT', + 'CAM_FRONT_RIGHT', + 'CAM_FRONT_LEFT', + 'CAM_BACK', + 'CAM_BACK_LEFT', + 'CAM_BACK_RIGHT', + ] + for cam in camera_types: + cam_token = sample['data'][cam] + cam_path, _, cam_intrinsic = lyft.get_sample_data(cam_token) + cam_info = obtain_sensor2top(lyft, cam_token, l2e_t, l2e_r_mat, + e2g_t, e2g_r_mat, cam) + cam_info.update(cam_intrinsic=cam_intrinsic) + info['cams'].update({cam: cam_info}) + + # obtain sweeps for a single key-frame + sd_rec = lyft.get('sample_data', sample['data']['LIDAR_TOP']) + sweeps = [] + while len(sweeps) < max_sweeps: + if not sd_rec['prev'] == '': + sweep = obtain_sensor2top(lyft, sd_rec['prev'], l2e_t, + l2e_r_mat, e2g_t, e2g_r_mat, 'lidar') + sweeps.append(sweep) + sd_rec = lyft.get('sample_data', sd_rec['prev']) + else: + break + info['sweeps'] = sweeps + # obtain annotation + if not test: + annotations = [ + lyft.get('sample_annotation', token) + for token in sample['anns'] + ] + locs = np.array([b.center for b in boxes]).reshape(-1, 3) + dims = np.array([b.wlh for b in boxes]).reshape(-1, 3) + rots = np.array([b.orientation.yaw_pitch_roll[0] + for b in boxes]).reshape(-1, 1) + + names = [b.name for b in boxes] + for i in range(len(names)): + if names[i] in LyftDataset.NameMapping: + names[i] = LyftDataset.NameMapping[names[i]] + names = np.array(names) + + # we need to convert rot to SECOND format. + gt_boxes = np.concatenate([locs, dims, -rots - np.pi / 2], axis=1) + assert len(gt_boxes) == len( + annotations), f'{len(gt_boxes)}, {len(annotations)}' + info['gt_boxes'] = gt_boxes + info['gt_names'] = names + info['num_lidar_pts'] = np.array( + [a['num_lidar_pts'] for a in annotations]) + info['num_radar_pts'] = np.array( + [a['num_radar_pts'] for a in annotations]) + + if sample['scene_token'] in train_scenes: + train_lyft_infos.append(info) + else: + val_lyft_infos.append(info) + + return train_lyft_infos, val_lyft_infos + + +def export_2d_annotation(root_path, info_path, version): + """Export 2d annotation from the info file and raw data. + + Args: + root_path (str): Root path of the raw data. + info_path (str): Path of the info file. + version (str): Dataset version. + """ + warning.warn('DeprecationWarning: 2D annotations are not used on the ' + 'Lyft dataset. The function export_2d_annotation will be ' + 'deprecated.') + # get bbox annotations for camera + camera_types = [ + 'CAM_FRONT', + 'CAM_FRONT_RIGHT', + 'CAM_FRONT_LEFT', + 'CAM_BACK', + 'CAM_BACK_LEFT', + 'CAM_BACK_RIGHT', + ] + lyft_infos = mmcv.load(info_path)['infos'] + lyft = Lyft( + data_path=osp.join(root_path, version), + json_path=osp.join(root_path, version, version), + verbose=True) + # info_2d_list = [] + cat2Ids = [ + dict(id=lyft_categories.index(cat_name), name=cat_name) + for cat_name in lyft_categories + ] + coco_ann_id = 0 + coco_2d_dict = dict(annotations=[], images=[], categories=cat2Ids) + for info in mmcv.track_iter_progress(lyft_infos): + for cam in camera_types: + cam_info = info['cams'][cam] + coco_infos = get_2d_boxes( + lyft, + cam_info['sample_data_token'], + visibilities=['', '1', '2', '3', '4']) + (height, width, _) = mmcv.imread(cam_info['data_path']).shape + coco_2d_dict['images'].append( + dict( + file_name=cam_info['data_path'], + id=cam_info['sample_data_token'], + width=width, + height=height)) + for coco_info in coco_infos: + if coco_info is None: + continue + # add an empty key for coco format + coco_info['segmentation'] = [] + coco_info['id'] = coco_ann_id + coco_2d_dict['annotations'].append(coco_info) + coco_ann_id += 1 + mmcv.dump(coco_2d_dict, f'{info_path[:-4]}.coco.json') diff --git a/tools/data_converter/lyft_data_fixer.py b/tools/data_converter/lyft_data_fixer.py new file mode 100755 index 0000000..4207049 --- /dev/null +++ b/tools/data_converter/lyft_data_fixer.py @@ -0,0 +1,38 @@ +# Copyright (c) OpenMMLab. All rights reserved. +import argparse +import numpy as np +import os + + +def fix_lyft(root_folder='./data/lyft', version='v1.01'): + # refer to https://www.kaggle.com/c/3d-object-detection-for-autonomous-vehicles/discussion/110000 # noqa + lidar_path = 'lidar/host-a011_lidar1_1233090652702363606.bin' + root_folder = os.path.join(root_folder, f'{version}-train') + lidar_path = os.path.join(root_folder, lidar_path) + assert os.path.isfile(lidar_path), f'Please download the complete Lyft ' \ + f'dataset and make sure {lidar_path} is present.' + points = np.fromfile(lidar_path, dtype=np.float32, count=-1) + try: + points.reshape([-1, 5]) + print(f'This fix is not required for version {version}.') + except ValueError: + new_points = np.array(list(points) + [100.0, 1.0], dtype='float32') + new_points.tofile(lidar_path) + print(f'Appended 100.0 and 1.0 to the end of {lidar_path}.') + + +parser = argparse.ArgumentParser(description='Lyft dataset fixer arg parser') +parser.add_argument( + '--root-folder', + type=str, + default='./data/lyft', + help='specify the root path of Lyft dataset') +parser.add_argument( + '--version', + type=str, + default='v1.01', + help='specify Lyft dataset version') +args = parser.parse_args() + +if __name__ == '__main__': + fix_lyft(root_folder=args.root_folder, version=args.version) diff --git a/tools/data_converter/nuimage_converter.py b/tools/data_converter/nuimage_converter.py new file mode 100755 index 0000000..92be1de --- /dev/null +++ b/tools/data_converter/nuimage_converter.py @@ -0,0 +1,225 @@ +# Copyright (c) OpenMMLab. All rights reserved. +import argparse +import base64 +import mmcv +import numpy as np +from nuimages import NuImages +from nuimages.utils.utils import mask_decode, name_to_index_mapping +from os import path as osp + +nus_categories = ('car', 'truck', 'trailer', 'bus', 'construction_vehicle', + 'bicycle', 'motorcycle', 'pedestrian', 'traffic_cone', + 'barrier') + +NAME_MAPPING = { + 'movable_object.barrier': 'barrier', + 'vehicle.bicycle': 'bicycle', + 'vehicle.bus.bendy': 'bus', + 'vehicle.bus.rigid': 'bus', + 'vehicle.car': 'car', + 'vehicle.construction': 'construction_vehicle', + 'vehicle.motorcycle': 'motorcycle', + 'human.pedestrian.adult': 'pedestrian', + 'human.pedestrian.child': 'pedestrian', + 'human.pedestrian.construction_worker': 'pedestrian', + 'human.pedestrian.police_officer': 'pedestrian', + 'movable_object.trafficcone': 'traffic_cone', + 'vehicle.trailer': 'trailer', + 'vehicle.truck': 'truck', +} + + +def parse_args(): + parser = argparse.ArgumentParser(description='Data converter arg parser') + parser.add_argument( + '--data-root', + type=str, + default='./data/nuimages', + help='specify the root path of dataset') + parser.add_argument( + '--version', + type=str, + nargs='+', + default=['v1.0-mini'], + required=False, + help='specify the dataset version') + parser.add_argument( + '--out-dir', + type=str, + default='./data/nuimages/annotations/', + required=False, + help='path to save the exported json') + parser.add_argument( + '--nproc', + type=int, + default=4, + required=False, + help='workers to process semantic masks') + parser.add_argument('--extra-tag', type=str, default='nuimages') + args = parser.parse_args() + return args + + +def get_img_annos(nuim, img_info, cat2id, out_dir, data_root, seg_root): + """Get semantic segmentation map for an image. + + Args: + nuim (obj:`NuImages`): NuImages dataset object + img_info (dict): Meta information of img + + Returns: + np.ndarray: Semantic segmentation map of the image + """ + sd_token = img_info['token'] + image_id = img_info['id'] + name_to_index = name_to_index_mapping(nuim.category) + + # Get image data. + width, height = img_info['width'], img_info['height'] + semseg_mask = np.zeros((height, width)).astype('uint8') + + # Load stuff / surface regions. + surface_anns = [ + o for o in nuim.surface_ann if o['sample_data_token'] == sd_token + ] + + # Draw stuff / surface regions. + for ann in surface_anns: + # Get color and mask. + category_token = ann['category_token'] + category_name = nuim.get('category', category_token)['name'] + if ann['mask'] is None: + continue + mask = mask_decode(ann['mask']) + + # Draw mask for semantic segmentation. + semseg_mask[mask == 1] = name_to_index[category_name] + + # Load object instances. + object_anns = [ + o for o in nuim.object_ann if o['sample_data_token'] == sd_token + ] + + # Sort by token to ensure that objects always appear in the + # instance mask in the same order. + object_anns = sorted(object_anns, key=lambda k: k['token']) + + # Draw object instances. + # The 0 index is reserved for background; thus, the instances + # should start from index 1. + annotations = [] + for i, ann in enumerate(object_anns, start=1): + # Get color, box, mask and name. + category_token = ann['category_token'] + category_name = nuim.get('category', category_token)['name'] + if ann['mask'] is None: + continue + mask = mask_decode(ann['mask']) + + # Draw masks for semantic segmentation and instance segmentation. + semseg_mask[mask == 1] = name_to_index[category_name] + + if category_name in NAME_MAPPING: + cat_name = NAME_MAPPING[category_name] + cat_id = cat2id[cat_name] + + x_min, y_min, x_max, y_max = ann['bbox'] + # encode calibrated instance mask + mask_anno = dict() + mask_anno['counts'] = base64.b64decode( + ann['mask']['counts']).decode() + mask_anno['size'] = ann['mask']['size'] + + data_anno = dict( + image_id=image_id, + category_id=cat_id, + bbox=[x_min, y_min, x_max - x_min, y_max - y_min], + area=(x_max - x_min) * (y_max - y_min), + segmentation=mask_anno, + iscrowd=0) + annotations.append(data_anno) + + # after process, save semantic masks + img_filename = img_info['file_name'] + seg_filename = img_filename.replace('jpg', 'png') + seg_filename = osp.join(seg_root, seg_filename) + mmcv.imwrite(semseg_mask, seg_filename) + return annotations, np.max(semseg_mask) + + +def export_nuim_to_coco(nuim, data_root, out_dir, extra_tag, version, nproc): + print('Process category information') + categories = [] + categories = [ + dict(id=nus_categories.index(cat_name), name=cat_name) + for cat_name in nus_categories + ] + cat2id = {k_v['name']: k_v['id'] for k_v in categories} + + images = [] + print('Process image meta information...') + for sample_info in mmcv.track_iter_progress(nuim.sample_data): + if sample_info['is_key_frame']: + img_idx = len(images) + images.append( + dict( + id=img_idx, + token=sample_info['token'], + file_name=sample_info['filename'], + width=sample_info['width'], + height=sample_info['height'])) + + seg_root = f'{out_dir}semantic_masks' + mmcv.mkdir_or_exist(seg_root) + mmcv.mkdir_or_exist(osp.join(data_root, 'calibrated')) + + global process_img_anno + + def process_img_anno(img_info): + single_img_annos, max_cls_id = get_img_annos(nuim, img_info, cat2id, + out_dir, data_root, + seg_root) + return single_img_annos, max_cls_id + + print('Process img annotations...') + if nproc > 1: + outputs = mmcv.track_parallel_progress( + process_img_anno, images, nproc=nproc) + else: + outputs = [] + for img_info in mmcv.track_iter_progress(images): + outputs.append(process_img_anno(img_info)) + + # Determine the index of object annotation + print('Process annotation information...') + annotations = [] + max_cls_ids = [] + for single_img_annos, max_cls_id in outputs: + max_cls_ids.append(max_cls_id) + for img_anno in single_img_annos: + img_anno.update(id=len(annotations)) + annotations.append(img_anno) + + max_cls_id = max(max_cls_ids) + print(f'Max ID of class in the semantic map: {max_cls_id}') + + coco_format_json = dict( + images=images, annotations=annotations, categories=categories) + + mmcv.mkdir_or_exist(out_dir) + out_file = osp.join(out_dir, f'{extra_tag}_{version}.json') + print(f'Annotation dumped to {out_file}') + mmcv.dump(coco_format_json, out_file) + + +def main(): + args = parse_args() + for version in args.version: + nuim = NuImages( + dataroot=args.data_root, version=version, verbose=True, lazy=True) + export_nuim_to_coco(nuim, args.data_root, args.out_dir, args.extra_tag, + version, args.nproc) + + +if __name__ == '__main__': + main() diff --git a/tools/data_converter/nuscenes_converter.py b/tools/data_converter/nuscenes_converter.py new file mode 100755 index 0000000..42931ab --- /dev/null +++ b/tools/data_converter/nuscenes_converter.py @@ -0,0 +1,672 @@ +# --------------------------------------------- +# Copyright (c) OpenMMLab. All rights reserved. +# --------------------------------------------- +# Modified by Zhiqi Li +# --------------------------------------------- +import mmcv +import numpy as np +import os +from collections import OrderedDict +from nuscenes.nuscenes import NuScenes +from nuscenes.utils.geometry_utils import view_points +from os import path as osp +from pyquaternion import Quaternion +from shapely.geometry import MultiPoint, box +from typing import List, Tuple, Union + +from mmdet3d.core.bbox.box_np_ops import points_cam2img +from mmdet3d.datasets import NuScenesDataset + +nus_categories = ('car', 'truck', 'trailer', 'bus', 'construction_vehicle', + 'bicycle', 'motorcycle', 'pedestrian', 'traffic_cone', + 'barrier') + +nus_attributes = ('cycle.with_rider', 'cycle.without_rider', + 'pedestrian.moving', 'pedestrian.standing', + 'pedestrian.sitting_lying_down', 'vehicle.moving', + 'vehicle.parked', 'vehicle.stopped', 'None') + + +def create_nuscenes_infos(root_path, + out_path, + can_bus_root_path, + info_prefix, + version='v1.0-trainval', + max_sweeps=10): + """Create info file of nuscene dataset. + + Given the raw data, generate its related info file in pkl format. + + Args: + root_path (str): Path of the data root. + info_prefix (str): Prefix of the info file to be generated. + version (str): Version of the data. + Default: 'v1.0-trainval' + max_sweeps (int): Max number of sweeps. + Default: 10 + """ + from nuscenes.nuscenes import NuScenes + from nuscenes.can_bus.can_bus_api import NuScenesCanBus + print(version, root_path) + nusc = NuScenes(version=version, dataroot=root_path, verbose=True) + nusc_can_bus = NuScenesCanBus(dataroot=can_bus_root_path) + from nuscenes.utils import splits + available_vers = ['v1.0-trainval', 'v1.0-test', 'v1.0-mini'] + assert version in available_vers + if version == 'v1.0-trainval': + train_scenes = splits.train + val_scenes = splits.val + elif version == 'v1.0-test': + train_scenes = splits.test + val_scenes = [] + elif version == 'v1.0-mini': + train_scenes = splits.mini_train + val_scenes = splits.mini_val + else: + raise ValueError('unknown') + + # filter existing scenes. + available_scenes = get_available_scenes(nusc) + available_scene_names = [s['name'] for s in available_scenes] + train_scenes = list( + filter(lambda x: x in available_scene_names, train_scenes)) + val_scenes = list(filter(lambda x: x in available_scene_names, val_scenes)) + train_scenes = set([ + available_scenes[available_scene_names.index(s)]['token'] + for s in train_scenes + ]) + val_scenes = set([ + available_scenes[available_scene_names.index(s)]['token'] + for s in val_scenes + ]) + + test = 'test' in version + if test: + print('test scene: {}'.format(len(train_scenes))) + else: + print('train scene: {}, val scene: {}'.format( + len(train_scenes), len(val_scenes))) + + train_nusc_infos, val_nusc_infos = _fill_trainval_infos( + nusc, nusc_can_bus, train_scenes, val_scenes, test, max_sweeps=max_sweeps) + + metadata = dict(version=version) + if test: + print('test sample: {}'.format(len(train_nusc_infos))) + data = dict(infos=train_nusc_infos, metadata=metadata) + info_path = osp.join(out_path, + '{}_infos_temporal_test.pkl'.format(info_prefix)) + mmcv.dump(data, info_path) + else: + print('train sample: {}, val sample: {}'.format( + len(train_nusc_infos), len(val_nusc_infos))) + data = dict(infos=train_nusc_infos, metadata=metadata) + info_path = osp.join(out_path, + '{}_infos_temporal_train.pkl'.format(info_prefix)) + mmcv.dump(data, info_path) + data['infos'] = val_nusc_infos + info_val_path = osp.join(out_path, + '{}_infos_temporal_val.pkl'.format(info_prefix)) + mmcv.dump(data, info_val_path) + + +def get_available_scenes(nusc): + """Get available scenes from the input nuscenes class. + + Given the raw data, get the information of available scenes for + further info generation. + + Args: + nusc (class): Dataset class in the nuScenes dataset. + + Returns: + available_scenes (list[dict]): List of basic information for the + available scenes. + """ + available_scenes = [] + print('total scene num: {}'.format(len(nusc.scene))) + for scene in nusc.scene: + scene_token = scene['token'] + scene_rec = nusc.get('scene', scene_token) + sample_rec = nusc.get('sample', scene_rec['first_sample_token']) + sd_rec = nusc.get('sample_data', sample_rec['data']['LIDAR_TOP']) + has_more_frames = True + scene_not_exist = False + while has_more_frames: + lidar_path, boxes, _ = nusc.get_sample_data(sd_rec['token']) + lidar_path = str(lidar_path) + if os.getcwd() in lidar_path: + # path from lyftdataset is absolute path + lidar_path = lidar_path.split(f'{os.getcwd()}/')[-1] + # relative path + if not mmcv.is_filepath(lidar_path): + scene_not_exist = True + break + else: + break + if scene_not_exist: + continue + available_scenes.append(scene) + print('exist scene num: {}'.format(len(available_scenes))) + return available_scenes + + +def _get_can_bus_info(nusc, nusc_can_bus, sample): + scene_name = nusc.get('scene', sample['scene_token'])['name'] + sample_timestamp = sample['timestamp'] + try: + pose_list = nusc_can_bus.get_messages(scene_name, 'pose') + except: + return np.zeros(18) # server scenes do not have can bus information. + can_bus = [] + # during each scene, the first timestamp of can_bus may be large than the first sample's timestamp + last_pose = pose_list[0] + for i, pose in enumerate(pose_list): + if pose['utime'] > sample_timestamp: + break + last_pose = pose + _ = last_pose.pop('utime') # useless + pos = last_pose.pop('pos') + rotation = last_pose.pop('orientation') + can_bus.extend(pos) + can_bus.extend(rotation) + for key in last_pose.keys(): + can_bus.extend(pose[key]) # 16 elements + can_bus.extend([0., 0.]) + return np.array(can_bus) + + +def _fill_trainval_infos(nusc, + nusc_can_bus, + train_scenes, + val_scenes, + test=False, + max_sweeps=10): + """Generate the train/val infos from the raw data. + + Args: + nusc (:obj:`NuScenes`): Dataset class in the nuScenes dataset. + train_scenes (list[str]): Basic information of training scenes. + val_scenes (list[str]): Basic information of validation scenes. + test (bool): Whether use the test mode. In the test mode, no + annotations can be accessed. Default: False. + max_sweeps (int): Max number of sweeps. Default: 10. + + Returns: + tuple[list[dict]]: Information of training set and validation set + that will be saved to the info file. + """ + train_nusc_infos = [] + val_nusc_infos = [] + frame_idx = 0 + for sample in mmcv.track_iter_progress(nusc.sample): + lidar_token = sample['data']['LIDAR_TOP'] + sd_rec = nusc.get('sample_data', sample['data']['LIDAR_TOP']) + cs_record = nusc.get('calibrated_sensor', + sd_rec['calibrated_sensor_token']) + pose_record = nusc.get('ego_pose', sd_rec['ego_pose_token']) + lidar_path, boxes, _ = nusc.get_sample_data(lidar_token) + + mmcv.check_file_exist(lidar_path) + can_bus = _get_can_bus_info(nusc, nusc_can_bus, sample) + ## + info = { + 'lidar_path': lidar_path, + 'token': sample['token'], + 'prev': sample['prev'], + 'next': sample['next'], + 'can_bus': can_bus, + 'frame_idx': frame_idx, # temporal related info + 'sweeps': [], + 'cams': dict(), + 'scene_token': sample['scene_token'], # temporal related info + 'lidar2ego_translation': cs_record['translation'], + 'lidar2ego_rotation': cs_record['rotation'], + 'ego2global_translation': pose_record['translation'], + 'ego2global_rotation': pose_record['rotation'], + 'timestamp': sample['timestamp'], + } + + if sample['next'] == '': + frame_idx = 0 + else: + frame_idx += 1 + + l2e_r = info['lidar2ego_rotation'] + l2e_t = info['lidar2ego_translation'] + e2g_r = info['ego2global_rotation'] + e2g_t = info['ego2global_translation'] + l2e_r_mat = Quaternion(l2e_r).rotation_matrix + e2g_r_mat = Quaternion(e2g_r).rotation_matrix + + # obtain 6 image's information per frame + camera_types = [ + 'CAM_FRONT', + 'CAM_FRONT_RIGHT', + 'CAM_FRONT_LEFT', + 'CAM_BACK', + 'CAM_BACK_LEFT', + 'CAM_BACK_RIGHT', + ] + for cam in camera_types: + cam_token = sample['data'][cam] + cam_path, _, cam_intrinsic = nusc.get_sample_data(cam_token) + cam_info = obtain_sensor2top(nusc, cam_token, l2e_t, l2e_r_mat, + e2g_t, e2g_r_mat, cam) + cam_info.update(cam_intrinsic=cam_intrinsic) + info['cams'].update({cam: cam_info}) + + # obtain sweeps for a single key-frame + sd_rec = nusc.get('sample_data', sample['data']['LIDAR_TOP']) + sweeps = [] + while len(sweeps) < max_sweeps: + if not sd_rec['prev'] == '': + sweep = obtain_sensor2top(nusc, sd_rec['prev'], l2e_t, + l2e_r_mat, e2g_t, e2g_r_mat, 'lidar') + sweeps.append(sweep) + sd_rec = nusc.get('sample_data', sd_rec['prev']) + else: + break + info['sweeps'] = sweeps + # obtain annotation + if not test: + annotations = [ + nusc.get('sample_annotation', token) + for token in sample['anns'] + ] + locs = np.array([b.center for b in boxes]).reshape(-1, 3) + dims = np.array([b.wlh for b in boxes]).reshape(-1, 3) + rots = np.array([b.orientation.yaw_pitch_roll[0] + for b in boxes]).reshape(-1, 1) + velocity = np.array( + [nusc.box_velocity(token)[:2] for token in sample['anns']]) + valid_flag = np.array( + [(anno['num_lidar_pts'] + anno['num_radar_pts']) > 0 + for anno in annotations], + dtype=bool).reshape(-1) + # convert velo from global to lidar + for i in range(len(boxes)): + velo = np.array([*velocity[i], 0.0]) + velo = velo @ np.linalg.inv(e2g_r_mat).T @ np.linalg.inv( + l2e_r_mat).T + velocity[i] = velo[:2] + + names = [b.name for b in boxes] + for i in range(len(names)): + if names[i] in NuScenesDataset.NameMapping: + names[i] = NuScenesDataset.NameMapping[names[i]] + names = np.array(names) + # we need to convert rot to SECOND format. + gt_boxes = np.concatenate([locs, dims, -rots - np.pi / 2], axis=1) + assert len(gt_boxes) == len( + annotations), f'{len(gt_boxes)}, {len(annotations)}' + info['gt_boxes'] = gt_boxes + info['gt_names'] = names + info['gt_velocity'] = velocity.reshape(-1, 2) + info['num_lidar_pts'] = np.array( + [a['num_lidar_pts'] for a in annotations]) + info['num_radar_pts'] = np.array( + [a['num_radar_pts'] for a in annotations]) + info['valid_flag'] = valid_flag + + if sample['scene_token'] in train_scenes: + train_nusc_infos.append(info) + else: + val_nusc_infos.append(info) + + return train_nusc_infos, val_nusc_infos + + +def obtain_sensor2top(nusc, + sensor_token, + l2e_t, + l2e_r_mat, + e2g_t, + e2g_r_mat, + sensor_type='lidar'): + """Obtain the info with RT matric from general sensor to Top LiDAR. + + Args: + nusc (class): Dataset class in the nuScenes dataset. + sensor_token (str): Sample data token corresponding to the + specific sensor type. + l2e_t (np.ndarray): Translation from lidar to ego in shape (1, 3). + l2e_r_mat (np.ndarray): Rotation matrix from lidar to ego + in shape (3, 3). + e2g_t (np.ndarray): Translation from ego to global in shape (1, 3). + e2g_r_mat (np.ndarray): Rotation matrix from ego to global + in shape (3, 3). + sensor_type (str): Sensor to calibrate. Default: 'lidar'. + + Returns: + sweep (dict): Sweep information after transformation. + """ + sd_rec = nusc.get('sample_data', sensor_token) + cs_record = nusc.get('calibrated_sensor', + sd_rec['calibrated_sensor_token']) + pose_record = nusc.get('ego_pose', sd_rec['ego_pose_token']) + data_path = str(nusc.get_sample_data_path(sd_rec['token'])) + if os.getcwd() in data_path: # path from lyftdataset is absolute path + data_path = data_path.split(f'{os.getcwd()}/')[-1] # relative path + sweep = { + 'data_path': data_path, + 'type': sensor_type, + 'sample_data_token': sd_rec['token'], + 'sensor2ego_translation': cs_record['translation'], + 'sensor2ego_rotation': cs_record['rotation'], + 'ego2global_translation': pose_record['translation'], + 'ego2global_rotation': pose_record['rotation'], + 'timestamp': sd_rec['timestamp'] + } + + l2e_r_s = sweep['sensor2ego_rotation'] + l2e_t_s = sweep['sensor2ego_translation'] + e2g_r_s = sweep['ego2global_rotation'] + e2g_t_s = sweep['ego2global_translation'] + + # obtain the RT from sensor to Top LiDAR + # sweep->ego->global->ego'->lidar + l2e_r_s_mat = Quaternion(l2e_r_s).rotation_matrix + e2g_r_s_mat = Quaternion(e2g_r_s).rotation_matrix + R = (l2e_r_s_mat.T @ e2g_r_s_mat.T) @ ( + np.linalg.inv(e2g_r_mat).T @ np.linalg.inv(l2e_r_mat).T) + T = (l2e_t_s @ e2g_r_s_mat.T + e2g_t_s) @ ( + np.linalg.inv(e2g_r_mat).T @ np.linalg.inv(l2e_r_mat).T) + T -= e2g_t @ (np.linalg.inv(e2g_r_mat).T @ np.linalg.inv(l2e_r_mat).T + ) + l2e_t @ np.linalg.inv(l2e_r_mat).T + sweep['sensor2lidar_rotation'] = R.T # points @ R.T + T + sweep['sensor2lidar_translation'] = T + return sweep + + +def export_2d_annotation(root_path, info_path, version, mono3d=True): + """Export 2d annotation from the info file and raw data. + + Args: + root_path (str): Root path of the raw data. + info_path (str): Path of the info file. + version (str): Dataset version. + mono3d (bool): Whether to export mono3d annotation. Default: True. + """ + # get bbox annotations for camera + camera_types = [ + 'CAM_FRONT', + 'CAM_FRONT_RIGHT', + 'CAM_FRONT_LEFT', + 'CAM_BACK', + 'CAM_BACK_LEFT', + 'CAM_BACK_RIGHT', + ] + nusc_infos = mmcv.load(info_path)['infos'] + nusc = NuScenes(version=version, dataroot=root_path, verbose=True) + # info_2d_list = [] + cat2Ids = [ + dict(id=nus_categories.index(cat_name), name=cat_name) + for cat_name in nus_categories + ] + coco_ann_id = 0 + coco_2d_dict = dict(annotations=[], images=[], categories=cat2Ids) + for info in mmcv.track_iter_progress(nusc_infos): + for cam in camera_types: + cam_info = info['cams'][cam] + coco_infos = get_2d_boxes( + nusc, + cam_info['sample_data_token'], + visibilities=['', '1', '2', '3', '4'], + mono3d=mono3d) + (height, width, _) = mmcv.imread(cam_info['data_path']).shape + coco_2d_dict['images'].append( + dict( + file_name=cam_info['data_path'].split('data/nuscenes/') + [-1], + id=cam_info['sample_data_token'], + token=info['token'], + cam2ego_rotation=cam_info['sensor2ego_rotation'], + cam2ego_translation=cam_info['sensor2ego_translation'], + ego2global_rotation=info['ego2global_rotation'], + ego2global_translation=info['ego2global_translation'], + cam_intrinsic=cam_info['cam_intrinsic'], + width=width, + height=height)) + for coco_info in coco_infos: + if coco_info is None: + continue + # add an empty key for coco format + coco_info['segmentation'] = [] + coco_info['id'] = coco_ann_id + coco_2d_dict['annotations'].append(coco_info) + coco_ann_id += 1 + if mono3d: + json_prefix = f'{info_path[:-4]}_mono3d' + else: + json_prefix = f'{info_path[:-4]}' + mmcv.dump(coco_2d_dict, f'{json_prefix}.coco.json') + + +def get_2d_boxes(nusc, + sample_data_token: str, + visibilities: List[str], + mono3d=True): + """Get the 2D annotation records for a given `sample_data_token`. + + Args: + sample_data_token (str): Sample data token belonging to a camera \ + keyframe. + visibilities (list[str]): Visibility filter. + mono3d (bool): Whether to get boxes with mono3d annotation. + + Return: + list[dict]: List of 2D annotation record that belongs to the input + `sample_data_token`. + """ + + # Get the sample data and the sample corresponding to that sample data. + sd_rec = nusc.get('sample_data', sample_data_token) + + assert sd_rec[ + 'sensor_modality'] == 'camera', 'Error: get_2d_boxes only works' \ + ' for camera sample_data!' + if not sd_rec['is_key_frame']: + raise ValueError( + 'The 2D re-projections are available only for keyframes.') + + s_rec = nusc.get('sample', sd_rec['sample_token']) + + # Get the calibrated sensor and ego pose + # record to get the transformation matrices. + cs_rec = nusc.get('calibrated_sensor', sd_rec['calibrated_sensor_token']) + pose_rec = nusc.get('ego_pose', sd_rec['ego_pose_token']) + camera_intrinsic = np.array(cs_rec['camera_intrinsic']) + + # Get all the annotation with the specified visibilties. + ann_recs = [ + nusc.get('sample_annotation', token) for token in s_rec['anns'] + ] + ann_recs = [ + ann_rec for ann_rec in ann_recs + if (ann_rec['visibility_token'] in visibilities) + ] + + repro_recs = [] + + for ann_rec in ann_recs: + # Augment sample_annotation with token information. + ann_rec['sample_annotation_token'] = ann_rec['token'] + ann_rec['sample_data_token'] = sample_data_token + + # Get the box in global coordinates. + box = nusc.get_box(ann_rec['token']) + + # Move them to the ego-pose frame. + box.translate(-np.array(pose_rec['translation'])) + box.rotate(Quaternion(pose_rec['rotation']).inverse) + + # Move them to the calibrated sensor frame. + box.translate(-np.array(cs_rec['translation'])) + box.rotate(Quaternion(cs_rec['rotation']).inverse) + + # Filter out the corners that are not in front of the calibrated + # sensor. + corners_3d = box.corners() + in_front = np.argwhere(corners_3d[2, :] > 0).flatten() + corners_3d = corners_3d[:, in_front] + + # Project 3d box to 2d. + corner_coords = view_points(corners_3d, camera_intrinsic, + True).T[:, :2].tolist() + + # Keep only corners that fall within the image. + final_coords = post_process_coords(corner_coords) + + # Skip if the convex hull of the re-projected corners + # does not intersect the image canvas. + if final_coords is None: + continue + else: + min_x, min_y, max_x, max_y = final_coords + + # Generate dictionary record to be included in the .json file. + repro_rec = generate_record(ann_rec, min_x, min_y, max_x, max_y, + sample_data_token, sd_rec['filename']) + + # If mono3d=True, add 3D annotations in camera coordinates + if mono3d and (repro_rec is not None): + loc = box.center.tolist() + + dim = box.wlh + dim[[0, 1, 2]] = dim[[1, 2, 0]] # convert wlh to our lhw + dim = dim.tolist() + + rot = box.orientation.yaw_pitch_roll[0] + rot = [-rot] # convert the rot to our cam coordinate + + global_velo2d = nusc.box_velocity(box.token)[:2] + global_velo3d = np.array([*global_velo2d, 0.0]) + e2g_r_mat = Quaternion(pose_rec['rotation']).rotation_matrix + c2e_r_mat = Quaternion(cs_rec['rotation']).rotation_matrix + cam_velo3d = global_velo3d @ np.linalg.inv( + e2g_r_mat).T @ np.linalg.inv(c2e_r_mat).T + velo = cam_velo3d[0::2].tolist() + + repro_rec['bbox_cam3d'] = loc + dim + rot + repro_rec['velo_cam3d'] = velo + + center3d = np.array(loc).reshape([1, 3]) + center2d = points_cam2img( + center3d, camera_intrinsic, with_depth=True) + repro_rec['center2d'] = center2d.squeeze().tolist() + # normalized center2D + depth + # if samples with depth < 0 will be removed + if repro_rec['center2d'][2] <= 0: + continue + + ann_token = nusc.get('sample_annotation', + box.token)['attribute_tokens'] + if len(ann_token) == 0: + attr_name = 'None' + else: + attr_name = nusc.get('attribute', ann_token[0])['name'] + attr_id = nus_attributes.index(attr_name) + repro_rec['attribute_name'] = attr_name + repro_rec['attribute_id'] = attr_id + + repro_recs.append(repro_rec) + + return repro_recs + + +def post_process_coords( + corner_coords: List, imsize: Tuple[int, int] = (1600, 900) +) -> Union[Tuple[float, float, float, float], None]: + """Get the intersection of the convex hull of the reprojected bbox corners + and the image canvas, return None if no intersection. + + Args: + corner_coords (list[int]): Corner coordinates of reprojected + bounding box. + imsize (tuple[int]): Size of the image canvas. + + Return: + tuple [float]: Intersection of the convex hull of the 2D box + corners and the image canvas. + """ + polygon_from_2d_box = MultiPoint(corner_coords).convex_hull + img_canvas = box(0, 0, imsize[0], imsize[1]) + + if polygon_from_2d_box.intersects(img_canvas): + img_intersection = polygon_from_2d_box.intersection(img_canvas) + intersection_coords = np.array( + [coord for coord in img_intersection.exterior.coords]) + + min_x = min(intersection_coords[:, 0]) + min_y = min(intersection_coords[:, 1]) + max_x = max(intersection_coords[:, 0]) + max_y = max(intersection_coords[:, 1]) + + return min_x, min_y, max_x, max_y + else: + return None + + +def generate_record(ann_rec: dict, x1: float, y1: float, x2: float, y2: float, + sample_data_token: str, filename: str) -> OrderedDict: + """Generate one 2D annotation record given various informations on top of + the 2D bounding box coordinates. + + Args: + ann_rec (dict): Original 3d annotation record. + x1 (float): Minimum value of the x coordinate. + y1 (float): Minimum value of the y coordinate. + x2 (float): Maximum value of the x coordinate. + y2 (float): Maximum value of the y coordinate. + sample_data_token (str): Sample data token. + filename (str):The corresponding image file where the annotation + is present. + + Returns: + dict: A sample 2D annotation record. + - file_name (str): flie name + - image_id (str): sample data token + - area (float): 2d box area + - category_name (str): category name + - category_id (int): category id + - bbox (list[float]): left x, top y, dx, dy of 2d box + - iscrowd (int): whether the area is crowd + """ + repro_rec = OrderedDict() + repro_rec['sample_data_token'] = sample_data_token + coco_rec = dict() + + relevant_keys = [ + 'attribute_tokens', + 'category_name', + 'instance_token', + 'next', + 'num_lidar_pts', + 'num_radar_pts', + 'prev', + 'sample_annotation_token', + 'sample_data_token', + 'visibility_token', + ] + + for key, value in ann_rec.items(): + if key in relevant_keys: + repro_rec[key] = value + + repro_rec['bbox_corners'] = [x1, y1, x2, y2] + repro_rec['filename'] = filename + + coco_rec['file_name'] = filename + coco_rec['image_id'] = sample_data_token + coco_rec['area'] = (y2 - y1) * (x2 - x1) + + if repro_rec['category_name'] not in NuScenesDataset.NameMapping: + return None + cat_name = NuScenesDataset.NameMapping[repro_rec['category_name']] + coco_rec['category_name'] = cat_name + coco_rec['category_id'] = nus_categories.index(cat_name) + coco_rec['bbox'] = [x1, y1, x2 - x1, y2 - y1] + coco_rec['iscrowd'] = 0 + + return coco_rec diff --git a/tools/data_converter/s3dis_data_utils.py b/tools/data_converter/s3dis_data_utils.py new file mode 100755 index 0000000..d2b6b77 --- /dev/null +++ b/tools/data_converter/s3dis_data_utils.py @@ -0,0 +1,241 @@ +# Copyright (c) OpenMMLab. All rights reserved. +import mmcv +import numpy as np +import os +from concurrent import futures as futures +from os import path as osp + + +class S3DISData(object): + """S3DIS data. + + Generate s3dis infos for s3dis_converter. + + Args: + root_path (str): Root path of the raw data. + split (str): Set split type of the data. Default: 'Area_1'. + """ + + def __init__(self, root_path, split='Area_1'): + self.root_dir = root_path + self.split = split + self.data_dir = osp.join(root_path, + 'Stanford3dDataset_v1.2_Aligned_Version') + + # Following `GSDN `_, use 5 furniture + # classes for detection: table, chair, sofa, bookcase, board. + self.cat_ids = np.array([7, 8, 9, 10, 11]) + self.cat_ids2class = { + cat_id: i + for i, cat_id in enumerate(list(self.cat_ids)) + } + + assert split in [ + 'Area_1', 'Area_2', 'Area_3', 'Area_4', 'Area_5', 'Area_6' + ] + self.sample_id_list = os.listdir(osp.join(self.data_dir, + split)) # conferenceRoom_1 + for sample_id in self.sample_id_list: + if os.path.isfile(osp.join(self.data_dir, split, sample_id)): + self.sample_id_list.remove(sample_id) + + def __len__(self): + return len(self.sample_id_list) + + def get_infos(self, num_workers=4, has_label=True, sample_id_list=None): + """Get data infos. + + This method gets information from the raw data. + + Args: + num_workers (int): Number of threads to be used. Default: 4. + has_label (bool): Whether the data has label. Default: True. + sample_id_list (list[int]): Index list of the sample. + Default: None. + + Returns: + infos (list[dict]): Information of the raw data. + """ + + def process_single_scene(sample_idx): + print(f'{self.split} sample_idx: {sample_idx}') + info = dict() + pc_info = { + 'num_features': 6, + 'lidar_idx': f'{self.split}_{sample_idx}' + } + info['point_cloud'] = pc_info + pts_filename = osp.join(self.root_dir, 's3dis_data', + f'{self.split}_{sample_idx}_point.npy') + pts_instance_mask_path = osp.join( + self.root_dir, 's3dis_data', + f'{self.split}_{sample_idx}_ins_label.npy') + pts_semantic_mask_path = osp.join( + self.root_dir, 's3dis_data', + f'{self.split}_{sample_idx}_sem_label.npy') + + points = np.load(pts_filename).astype(np.float32) + pts_instance_mask = np.load(pts_instance_mask_path).astype(np.int) + pts_semantic_mask = np.load(pts_semantic_mask_path).astype(np.int) + + mmcv.mkdir_or_exist(osp.join(self.root_dir, 'points')) + mmcv.mkdir_or_exist(osp.join(self.root_dir, 'instance_mask')) + mmcv.mkdir_or_exist(osp.join(self.root_dir, 'semantic_mask')) + + points.tofile( + osp.join(self.root_dir, 'points', + f'{self.split}_{sample_idx}.bin')) + pts_instance_mask.tofile( + osp.join(self.root_dir, 'instance_mask', + f'{self.split}_{sample_idx}.bin')) + pts_semantic_mask.tofile( + osp.join(self.root_dir, 'semantic_mask', + f'{self.split}_{sample_idx}.bin')) + + info['pts_path'] = osp.join('points', + f'{self.split}_{sample_idx}.bin') + info['pts_instance_mask_path'] = osp.join( + 'instance_mask', f'{self.split}_{sample_idx}.bin') + info['pts_semantic_mask_path'] = osp.join( + 'semantic_mask', f'{self.split}_{sample_idx}.bin') + info['annos'] = self.get_bboxes(points, pts_instance_mask, + pts_semantic_mask) + + return info + + sample_id_list = sample_id_list if sample_id_list is not None \ + else self.sample_id_list + with futures.ThreadPoolExecutor(num_workers) as executor: + infos = executor.map(process_single_scene, sample_id_list) + return list(infos) + + def get_bboxes(self, points, pts_instance_mask, pts_semantic_mask): + """Convert instance masks to axis-aligned bounding boxes. + + Args: + points (np.array): Scene points of shape (n, 6). + pts_instance_mask (np.ndarray): Instance labels of shape (n,). + pts_semantic_mask (np.ndarray): Semantic labels of shape (n,). + + Returns: + dict: A dict containing detection infos with following keys: + + - gt_boxes_upright_depth (np.ndarray): Bounding boxes + of shape (n, 6) + - class (np.ndarray): Box labels of shape (n,) + - gt_num (int): Number of boxes. + """ + bboxes, labels = [], [] + for i in range(1, pts_instance_mask.max()): + ids = pts_instance_mask == i + # check if all instance points have same semantic label + assert pts_semantic_mask[ids].min() == pts_semantic_mask[ids].max() + label = pts_semantic_mask[ids][0] + # keep only furniture objects + if label in self.cat_ids2class: + labels.append(self.cat_ids2class[pts_semantic_mask[ids][0]]) + pts = points[:, :3][ids] + min_pts = pts.min(axis=0) + max_pts = pts.max(axis=0) + locations = (min_pts + max_pts) / 2 + dimensions = max_pts - min_pts + bboxes.append(np.concatenate((locations, dimensions))) + annotation = dict() + # follow ScanNet and SUN RGB-D keys + annotation['gt_boxes_upright_depth'] = np.array(bboxes) + annotation['class'] = np.array(labels) + annotation['gt_num'] = len(labels) + return annotation + + +class S3DISSegData(object): + """S3DIS dataset used to generate infos for semantic segmentation task. + + Args: + data_root (str): Root path of the raw data. + ann_file (str): The generated scannet infos. + split (str): Set split type of the data. Default: 'train'. + num_points (int): Number of points in each data input. Default: 8192. + label_weight_func (function): Function to compute the label weight. + Default: None. + """ + + def __init__(self, + data_root, + ann_file, + split='Area_1', + num_points=4096, + label_weight_func=None): + self.data_root = data_root + self.data_infos = mmcv.load(ann_file) + self.split = split + self.num_points = num_points + + self.all_ids = np.arange(13) # all possible ids + self.cat_ids = np.array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, + 12]) # used for seg task + self.ignore_index = len(self.cat_ids) + + self.cat_id2class = np.ones((self.all_ids.shape[0],), dtype=np.int) * \ + self.ignore_index + for i, cat_id in enumerate(self.cat_ids): + self.cat_id2class[cat_id] = i + + # label weighting function is taken from + # https://github.com/charlesq34/pointnet2/blob/master/scannet/scannet_dataset.py#L24 + self.label_weight_func = (lambda x: 1.0 / np.log(1.2 + x)) if \ + label_weight_func is None else label_weight_func + + def get_seg_infos(self): + scene_idxs, label_weight = self.get_scene_idxs_and_label_weight() + save_folder = osp.join(self.data_root, 'seg_info') + mmcv.mkdir_or_exist(save_folder) + np.save( + osp.join(save_folder, f'{self.split}_resampled_scene_idxs.npy'), + scene_idxs) + np.save( + osp.join(save_folder, f'{self.split}_label_weight.npy'), + label_weight) + print(f'{self.split} resampled scene index and label weight saved') + + def _convert_to_label(self, mask): + """Convert class_id in loaded segmentation mask to label.""" + if isinstance(mask, str): + if mask.endswith('npy'): + mask = np.load(mask) + else: + mask = np.fromfile(mask, dtype=np.long) + label = self.cat_id2class[mask] + return label + + def get_scene_idxs_and_label_weight(self): + """Compute scene_idxs for data sampling and label weight for loss \ + calculation. + + We sample more times for scenes with more points. Label_weight is + inversely proportional to number of class points. + """ + num_classes = len(self.cat_ids) + num_point_all = [] + label_weight = np.zeros((num_classes + 1, )) # ignore_index + for data_info in self.data_infos: + label = self._convert_to_label( + osp.join(self.data_root, data_info['pts_semantic_mask_path'])) + num_point_all.append(label.shape[0]) + class_count, _ = np.histogram(label, range(num_classes + 2)) + label_weight += class_count + + # repeat scene_idx for num_scene_point // num_sample_point times + sample_prob = np.array(num_point_all) / float(np.sum(num_point_all)) + num_iter = int(np.sum(num_point_all) / float(self.num_points)) + scene_idxs = [] + for idx in range(len(self.data_infos)): + scene_idxs.extend([idx] * int(round(sample_prob[idx] * num_iter))) + scene_idxs = np.array(scene_idxs).astype(np.int32) + + # calculate label weight, adopted from PointNet++ + label_weight = label_weight[:-1].astype(np.float32) + label_weight = label_weight / label_weight.sum() + label_weight = self.label_weight_func(label_weight).astype(np.float32) + + return scene_idxs, label_weight diff --git a/tools/data_converter/scannet_data_utils.py b/tools/data_converter/scannet_data_utils.py new file mode 100755 index 0000000..a437fe0 --- /dev/null +++ b/tools/data_converter/scannet_data_utils.py @@ -0,0 +1,293 @@ +# Copyright (c) OpenMMLab. All rights reserved. +import mmcv +import numpy as np +import os +from concurrent import futures as futures +from os import path as osp + + +class ScanNetData(object): + """ScanNet data. + + Generate scannet infos for scannet_converter. + + Args: + root_path (str): Root path of the raw data. + split (str): Set split type of the data. Default: 'train'. + """ + + def __init__(self, root_path, split='train'): + self.root_dir = root_path + self.split = split + self.split_dir = osp.join(root_path) + self.classes = [ + 'cabinet', 'bed', 'chair', 'sofa', 'table', 'door', 'window', + 'bookshelf', 'picture', 'counter', 'desk', 'curtain', + 'refrigerator', 'showercurtrain', 'toilet', 'sink', 'bathtub', + 'garbagebin' + ] + self.cat2label = {cat: self.classes.index(cat) for cat in self.classes} + self.label2cat = {self.cat2label[t]: t for t in self.cat2label} + self.cat_ids = np.array( + [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 16, 24, 28, 33, 34, 36, 39]) + self.cat_ids2class = { + nyu40id: i + for i, nyu40id in enumerate(list(self.cat_ids)) + } + assert split in ['train', 'val', 'test'] + split_file = osp.join(self.root_dir, 'meta_data', + f'scannetv2_{split}.txt') + mmcv.check_file_exist(split_file) + self.sample_id_list = mmcv.list_from_file(split_file) + self.test_mode = (split == 'test') + + def __len__(self): + return len(self.sample_id_list) + + def get_aligned_box_label(self, idx): + box_file = osp.join(self.root_dir, 'scannet_instance_data', + f'{idx}_aligned_bbox.npy') + mmcv.check_file_exist(box_file) + return np.load(box_file) + + def get_unaligned_box_label(self, idx): + box_file = osp.join(self.root_dir, 'scannet_instance_data', + f'{idx}_unaligned_bbox.npy') + mmcv.check_file_exist(box_file) + return np.load(box_file) + + def get_axis_align_matrix(self, idx): + matrix_file = osp.join(self.root_dir, 'scannet_instance_data', + f'{idx}_axis_align_matrix.npy') + mmcv.check_file_exist(matrix_file) + return np.load(matrix_file) + + def get_images(self, idx): + paths = [] + path = osp.join(self.root_dir, 'posed_images', idx) + for file in sorted(os.listdir(path)): + if file.endswith('.jpg'): + paths.append(osp.join('posed_images', idx, file)) + return paths + + def get_extrinsics(self, idx): + extrinsics = [] + path = osp.join(self.root_dir, 'posed_images', idx) + for file in sorted(os.listdir(path)): + if file.endswith('.txt') and not file == 'intrinsic.txt': + extrinsics.append(np.loadtxt(osp.join(path, file))) + return extrinsics + + def get_intrinsics(self, idx): + matrix_file = osp.join(self.root_dir, 'posed_images', idx, + 'intrinsic.txt') + mmcv.check_file_exist(matrix_file) + return np.loadtxt(matrix_file) + + def get_infos(self, num_workers=4, has_label=True, sample_id_list=None): + """Get data infos. + + This method gets information from the raw data. + + Args: + num_workers (int): Number of threads to be used. Default: 4. + has_label (bool): Whether the data has label. Default: True. + sample_id_list (list[int]): Index list of the sample. + Default: None. + + Returns: + infos (list[dict]): Information of the raw data. + """ + + def process_single_scene(sample_idx): + print(f'{self.split} sample_idx: {sample_idx}') + info = dict() + pc_info = {'num_features': 6, 'lidar_idx': sample_idx} + info['point_cloud'] = pc_info + pts_filename = osp.join(self.root_dir, 'scannet_instance_data', + f'{sample_idx}_vert.npy') + points = np.load(pts_filename) + mmcv.mkdir_or_exist(osp.join(self.root_dir, 'points')) + points.tofile( + osp.join(self.root_dir, 'points', f'{sample_idx}.bin')) + info['pts_path'] = osp.join('points', f'{sample_idx}.bin') + + # update with RGB image paths if exist + if os.path.exists(osp.join(self.root_dir, 'posed_images')): + info['intrinsics'] = self.get_intrinsics(sample_idx) + all_extrinsics = self.get_extrinsics(sample_idx) + all_img_paths = self.get_images(sample_idx) + # some poses in ScanNet are invalid + extrinsics, img_paths = [], [] + for extrinsic, img_path in zip(all_extrinsics, all_img_paths): + if np.all(np.isfinite(extrinsic)): + img_paths.append(img_path) + extrinsics.append(extrinsic) + info['extrinsics'] = extrinsics + info['img_paths'] = img_paths + + if not self.test_mode: + pts_instance_mask_path = osp.join( + self.root_dir, 'scannet_instance_data', + f'{sample_idx}_ins_label.npy') + pts_semantic_mask_path = osp.join( + self.root_dir, 'scannet_instance_data', + f'{sample_idx}_sem_label.npy') + + pts_instance_mask = np.load(pts_instance_mask_path).astype( + np.long) + pts_semantic_mask = np.load(pts_semantic_mask_path).astype( + np.long) + + mmcv.mkdir_or_exist(osp.join(self.root_dir, 'instance_mask')) + mmcv.mkdir_or_exist(osp.join(self.root_dir, 'semantic_mask')) + + pts_instance_mask.tofile( + osp.join(self.root_dir, 'instance_mask', + f'{sample_idx}.bin')) + pts_semantic_mask.tofile( + osp.join(self.root_dir, 'semantic_mask', + f'{sample_idx}.bin')) + + info['pts_instance_mask_path'] = osp.join( + 'instance_mask', f'{sample_idx}.bin') + info['pts_semantic_mask_path'] = osp.join( + 'semantic_mask', f'{sample_idx}.bin') + + if has_label: + annotations = {} + # box is of shape [k, 6 + class] + aligned_box_label = self.get_aligned_box_label(sample_idx) + unaligned_box_label = self.get_unaligned_box_label(sample_idx) + annotations['gt_num'] = aligned_box_label.shape[0] + if annotations['gt_num'] != 0: + aligned_box = aligned_box_label[:, :-1] # k, 6 + unaligned_box = unaligned_box_label[:, :-1] + classes = aligned_box_label[:, -1] # k + annotations['name'] = np.array([ + self.label2cat[self.cat_ids2class[classes[i]]] + for i in range(annotations['gt_num']) + ]) + # default names are given to aligned bbox for compatibility + # we also save unaligned bbox info with marked names + annotations['location'] = aligned_box[:, :3] + annotations['dimensions'] = aligned_box[:, 3:6] + annotations['gt_boxes_upright_depth'] = aligned_box + annotations['unaligned_location'] = unaligned_box[:, :3] + annotations['unaligned_dimensions'] = unaligned_box[:, 3:6] + annotations[ + 'unaligned_gt_boxes_upright_depth'] = unaligned_box + annotations['index'] = np.arange( + annotations['gt_num'], dtype=np.int32) + annotations['class'] = np.array([ + self.cat_ids2class[classes[i]] + for i in range(annotations['gt_num']) + ]) + axis_align_matrix = self.get_axis_align_matrix(sample_idx) + annotations['axis_align_matrix'] = axis_align_matrix # 4x4 + info['annos'] = annotations + return info + + sample_id_list = sample_id_list if sample_id_list is not None \ + else self.sample_id_list + with futures.ThreadPoolExecutor(num_workers) as executor: + infos = executor.map(process_single_scene, sample_id_list) + return list(infos) + + +class ScanNetSegData(object): + """ScanNet dataset used to generate infos for semantic segmentation task. + + Args: + data_root (str): Root path of the raw data. + ann_file (str): The generated scannet infos. + split (str): Set split type of the data. Default: 'train'. + num_points (int): Number of points in each data input. Default: 8192. + label_weight_func (function): Function to compute the label weight. + Default: None. + """ + + def __init__(self, + data_root, + ann_file, + split='train', + num_points=8192, + label_weight_func=None): + self.data_root = data_root + self.data_infos = mmcv.load(ann_file) + self.split = split + assert split in ['train', 'val', 'test'] + self.num_points = num_points + + self.all_ids = np.arange(41) # all possible ids + self.cat_ids = np.array([ + 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 16, 24, 28, 33, 34, 36, + 39 + ]) # used for seg task + self.ignore_index = len(self.cat_ids) + + self.cat_id2class = np.ones((self.all_ids.shape[0],), dtype=np.int) * \ + self.ignore_index + for i, cat_id in enumerate(self.cat_ids): + self.cat_id2class[cat_id] = i + + # label weighting function is taken from + # https://github.com/charlesq34/pointnet2/blob/master/scannet/scannet_dataset.py#L24 + self.label_weight_func = (lambda x: 1.0 / np.log(1.2 + x)) if \ + label_weight_func is None else label_weight_func + + def get_seg_infos(self): + if self.split == 'test': + return + scene_idxs, label_weight = self.get_scene_idxs_and_label_weight() + save_folder = osp.join(self.data_root, 'seg_info') + mmcv.mkdir_or_exist(save_folder) + np.save( + osp.join(save_folder, f'{self.split}_resampled_scene_idxs.npy'), + scene_idxs) + np.save( + osp.join(save_folder, f'{self.split}_label_weight.npy'), + label_weight) + print(f'{self.split} resampled scene index and label weight saved') + + def _convert_to_label(self, mask): + """Convert class_id in loaded segmentation mask to label.""" + if isinstance(mask, str): + if mask.endswith('npy'): + mask = np.load(mask) + else: + mask = np.fromfile(mask, dtype=np.long) + label = self.cat_id2class[mask] + return label + + def get_scene_idxs_and_label_weight(self): + """Compute scene_idxs for data sampling and label weight for loss \ + calculation. + + We sample more times for scenes with more points. Label_weight is + inversely proportional to number of class points. + """ + num_classes = len(self.cat_ids) + num_point_all = [] + label_weight = np.zeros((num_classes + 1, )) # ignore_index + for data_info in self.data_infos: + label = self._convert_to_label( + osp.join(self.data_root, data_info['pts_semantic_mask_path'])) + num_point_all.append(label.shape[0]) + class_count, _ = np.histogram(label, range(num_classes + 2)) + label_weight += class_count + + # repeat scene_idx for num_scene_point // num_sample_point times + sample_prob = np.array(num_point_all) / float(np.sum(num_point_all)) + num_iter = int(np.sum(num_point_all) / float(self.num_points)) + scene_idxs = [] + for idx in range(len(self.data_infos)): + scene_idxs.extend([idx] * int(round(sample_prob[idx] * num_iter))) + scene_idxs = np.array(scene_idxs).astype(np.int32) + + # calculate label weight, adopted from PointNet++ + label_weight = label_weight[:-1].astype(np.float32) + label_weight = label_weight / label_weight.sum() + label_weight = self.label_weight_func(label_weight).astype(np.float32) + + return scene_idxs, label_weight diff --git a/tools/data_converter/sunrgbd_data_utils.py b/tools/data_converter/sunrgbd_data_utils.py new file mode 100755 index 0000000..9f8a502 --- /dev/null +++ b/tools/data_converter/sunrgbd_data_utils.py @@ -0,0 +1,221 @@ +# Copyright (c) OpenMMLab. All rights reserved. +import mmcv +import numpy as np +from concurrent import futures as futures +from os import path as osp +from scipy import io as sio + + +def random_sampling(points, num_points, replace=None, return_choices=False): + """Random sampling. + + Sampling point cloud to a certain number of points. + + Args: + points (ndarray): Point cloud. + num_points (int): The number of samples. + replace (bool): Whether the sample is with or without replacement. + return_choices (bool): Whether to return choices. + + Returns: + points (ndarray): Point cloud after sampling. + """ + + if replace is None: + replace = (points.shape[0] < num_points) + choices = np.random.choice(points.shape[0], num_points, replace=replace) + if return_choices: + return points[choices], choices + else: + return points[choices] + + +class SUNRGBDInstance(object): + + def __init__(self, line): + data = line.split(' ') + data[1:] = [float(x) for x in data[1:]] + self.classname = data[0] + self.xmin = data[1] + self.ymin = data[2] + self.xmax = data[1] + data[3] + self.ymax = data[2] + data[4] + self.box2d = np.array([self.xmin, self.ymin, self.xmax, self.ymax]) + self.centroid = np.array([data[5], data[6], data[7]]) + self.w = data[8] + self.l = data[9] # noqa: E741 + self.h = data[10] + self.orientation = np.zeros((3, )) + self.orientation[0] = data[11] + self.orientation[1] = data[12] + self.heading_angle = -1 * np.arctan2(self.orientation[1], + self.orientation[0]) + self.box3d = np.concatenate([ + self.centroid, + np.array([self.l * 2, self.w * 2, self.h * 2, self.heading_angle]) + ]) + + +class SUNRGBDData(object): + """SUNRGBD data. + + Generate scannet infos for sunrgbd_converter. + + Args: + root_path (str): Root path of the raw data. + split (str): Set split type of the data. Default: 'train'. + use_v1 (bool): Whether to use v1. Default: False. + """ + + def __init__(self, root_path, split='train', use_v1=False): + self.root_dir = root_path + self.split = split + self.split_dir = osp.join(root_path, 'sunrgbd_trainval') + self.classes = [ + 'bed', 'table', 'sofa', 'chair', 'toilet', 'desk', 'dresser', + 'night_stand', 'bookshelf', 'bathtub' + ] + self.cat2label = {cat: self.classes.index(cat) for cat in self.classes} + self.label2cat = { + label: self.classes[label] + for label in range(len(self.classes)) + } + assert split in ['train', 'val', 'test'] + split_file = osp.join(self.split_dir, f'{split}_data_idx.txt') + mmcv.check_file_exist(split_file) + self.sample_id_list = map(int, mmcv.list_from_file(split_file)) + self.image_dir = osp.join(self.split_dir, 'image') + self.calib_dir = osp.join(self.split_dir, 'calib') + self.depth_dir = osp.join(self.split_dir, 'depth') + if use_v1: + self.label_dir = osp.join(self.split_dir, 'label_v1') + else: + self.label_dir = osp.join(self.split_dir, 'label') + + def __len__(self): + return len(self.sample_id_list) + + def get_image(self, idx): + img_filename = osp.join(self.image_dir, f'{idx:06d}.jpg') + return mmcv.imread(img_filename) + + def get_image_shape(self, idx): + image = self.get_image(idx) + return np.array(image.shape[:2], dtype=np.int32) + + def get_depth(self, idx): + depth_filename = osp.join(self.depth_dir, f'{idx:06d}.mat') + depth = sio.loadmat(depth_filename)['instance'] + return depth + + def get_calibration(self, idx): + calib_filepath = osp.join(self.calib_dir, f'{idx:06d}.txt') + lines = [line.rstrip() for line in open(calib_filepath)] + Rt = np.array([float(x) for x in lines[0].split(' ')]) + Rt = np.reshape(Rt, (3, 3), order='F').astype(np.float32) + K = np.array([float(x) for x in lines[1].split(' ')]) + K = np.reshape(K, (3, 3), order='F').astype(np.float32) + return K, Rt + + def get_label_objects(self, idx): + label_filename = osp.join(self.label_dir, f'{idx:06d}.txt') + lines = [line.rstrip() for line in open(label_filename)] + objects = [SUNRGBDInstance(line) for line in lines] + return objects + + def get_infos(self, num_workers=4, has_label=True, sample_id_list=None): + """Get data infos. + + This method gets information from the raw data. + + Args: + num_workers (int): Number of threads to be used. Default: 4. + has_label (bool): Whether the data has label. Default: True. + sample_id_list (list[int]): Index list of the sample. + Default: None. + + Returns: + infos (list[dict]): Information of the raw data. + """ + + def process_single_scene(sample_idx): + print(f'{self.split} sample_idx: {sample_idx}') + # convert depth to points + SAMPLE_NUM = 50000 + # TODO: Check whether can move the point + # sampling process during training. + pc_upright_depth = self.get_depth(sample_idx) + pc_upright_depth_subsampled = random_sampling( + pc_upright_depth, SAMPLE_NUM) + + info = dict() + pc_info = {'num_features': 6, 'lidar_idx': sample_idx} + info['point_cloud'] = pc_info + + mmcv.mkdir_or_exist(osp.join(self.root_dir, 'points')) + pc_upright_depth_subsampled.tofile( + osp.join(self.root_dir, 'points', f'{sample_idx:06d}.bin')) + + info['pts_path'] = osp.join('points', f'{sample_idx:06d}.bin') + img_path = osp.join('image', f'{sample_idx:06d}.jpg') + image_info = { + 'image_idx': sample_idx, + 'image_shape': self.get_image_shape(sample_idx), + 'image_path': img_path + } + info['image'] = image_info + + K, Rt = self.get_calibration(sample_idx) + calib_info = {'K': K, 'Rt': Rt} + info['calib'] = calib_info + + if has_label: + obj_list = self.get_label_objects(sample_idx) + annotations = {} + annotations['gt_num'] = len([ + obj.classname for obj in obj_list + if obj.classname in self.cat2label.keys() + ]) + if annotations['gt_num'] != 0: + annotations['name'] = np.array([ + obj.classname for obj in obj_list + if obj.classname in self.cat2label.keys() + ]) + annotations['bbox'] = np.concatenate([ + obj.box2d.reshape(1, 4) for obj in obj_list + if obj.classname in self.cat2label.keys() + ], + axis=0) + annotations['location'] = np.concatenate([ + obj.centroid.reshape(1, 3) for obj in obj_list + if obj.classname in self.cat2label.keys() + ], + axis=0) + annotations['dimensions'] = 2 * np.array([ + [obj.l, obj.w, obj.h] for obj in obj_list + if obj.classname in self.cat2label.keys() + ]) # lwh (depth) format + annotations['rotation_y'] = np.array([ + obj.heading_angle for obj in obj_list + if obj.classname in self.cat2label.keys() + ]) + annotations['index'] = np.arange( + len(obj_list), dtype=np.int32) + annotations['class'] = np.array([ + self.cat2label[obj.classname] for obj in obj_list + if obj.classname in self.cat2label.keys() + ]) + annotations['gt_boxes_upright_depth'] = np.stack( + [ + obj.box3d for obj in obj_list + if obj.classname in self.cat2label.keys() + ], + axis=0) # (K,8) + info['annos'] = annotations + return info + + sample_id_list = sample_id_list if \ + sample_id_list is not None else self.sample_id_list + with futures.ThreadPoolExecutor(num_workers) as executor: + infos = executor.map(process_single_scene, sample_id_list) + return list(infos) diff --git a/tools/data_converter/waymo_converter.py b/tools/data_converter/waymo_converter.py new file mode 100755 index 0000000..94fcae1 --- /dev/null +++ b/tools/data_converter/waymo_converter.py @@ -0,0 +1,519 @@ +# Copyright (c) OpenMMLab. All rights reserved. +r"""Adapted from `Waymo to KITTI converter + `_. +""" + +try: + from waymo_open_dataset import dataset_pb2 +except ImportError: + raise ImportError( + 'Please run "pip install waymo-open-dataset-tf-2-2-0==1.2.0" ' + 'to install the official devkit first.') + +import mmcv +import numpy as np +import tensorflow as tf +from glob import glob +from os.path import join +from waymo_open_dataset.utils import range_image_utils, transform_utils +from waymo_open_dataset.utils.frame_utils import \ + parse_range_image_and_camera_projection + + +class Waymo2KITTI(object): + """Waymo to KITTI converter. + + This class serves as the converter to change the waymo raw data to KITTI + format. + + Args: + load_dir (str): Directory to load waymo raw data. + save_dir (str): Directory to save data in KITTI format. + prefix (str): Prefix of filename. In general, 0 for training, 1 for + validation and 2 for testing. + workers (str): Number of workers for the parallel process. + test_mode (bool): Whether in the test_mode. Default: False. + """ + + def __init__(self, + load_dir, + save_dir, + prefix, + workers=64, + test_mode=False): + self.filter_empty_3dboxes = True + self.filter_no_label_zone_points = True + + self.selected_waymo_classes = ['VEHICLE', 'PEDESTRIAN', 'CYCLIST'] + + # Only data collected in specific locations will be converted + # If set None, this filter is disabled + # Available options: location_sf (main dataset) + self.selected_waymo_locations = None + self.save_track_id = False + + # turn on eager execution for older tensorflow versions + if int(tf.__version__.split('.')[0]) < 2: + tf.enable_eager_execution() + + self.lidar_list = [ + '_FRONT', '_FRONT_RIGHT', '_FRONT_LEFT', '_SIDE_RIGHT', + '_SIDE_LEFT' + ] + self.type_list = [ + 'UNKNOWN', 'VEHICLE', 'PEDESTRIAN', 'SIGN', 'CYCLIST' + ] + self.waymo_to_kitti_class_map = { + 'UNKNOWN': 'DontCare', + 'PEDESTRIAN': 'Pedestrian', + 'VEHICLE': 'Car', + 'CYCLIST': 'Cyclist', + 'SIGN': 'Sign' # not in kitti + } + + self.load_dir = load_dir + self.save_dir = save_dir + self.prefix = prefix + self.workers = int(workers) + self.test_mode = test_mode + + self.tfrecord_pathnames = sorted( + glob(join(self.load_dir, '*.tfrecord'))) + + self.label_save_dir = f'{self.save_dir}/label_' + self.label_all_save_dir = f'{self.save_dir}/label_all' + self.image_save_dir = f'{self.save_dir}/image_' + self.calib_save_dir = f'{self.save_dir}/calib' + self.point_cloud_save_dir = f'{self.save_dir}/velodyne' + self.pose_save_dir = f'{self.save_dir}/pose' + + self.create_folder() + + def convert(self): + """Convert action.""" + print('Start converting ...') + mmcv.track_parallel_progress(self.convert_one, range(len(self)), + self.workers) + print('\nFinished ...') + + def convert_one(self, file_idx): + """Convert action for single file. + + Args: + file_idx (int): Index of the file to be converted. + """ + pathname = self.tfrecord_pathnames[file_idx] + dataset = tf.data.TFRecordDataset(pathname, compression_type='') + + for frame_idx, data in enumerate(dataset): + + if frame_idx % 5 != 0: + continue + # print(frame_idx) + frame = dataset_pb2.Frame() + frame.ParseFromString(bytearray(data.numpy())) + if (self.selected_waymo_locations is not None + and frame.context.stats.location + not in self.selected_waymo_locations): + continue + + self.save_image(frame, file_idx, frame_idx) + self.save_calib(frame, file_idx, frame_idx) + self.save_lidar(frame, file_idx, frame_idx) + self.save_pose(frame, file_idx, frame_idx) + + if not self.test_mode: + self.save_label(frame, file_idx, frame_idx) + + def __len__(self): + """Length of the filename list.""" + return len(self.tfrecord_pathnames) + + def save_image(self, frame, file_idx, frame_idx): + """Parse and save the images in png format. + + Args: + frame (:obj:`Frame`): Open dataset frame proto. + file_idx (int): Current file index. + frame_idx (int): Current frame index. + """ + for img in frame.images: + img_path = f'{self.image_save_dir}{str(img.name - 1)}/' + \ + f'{self.prefix}{str(file_idx).zfill(3)}' + \ + f'{str(frame_idx).zfill(3)}.png' + img = mmcv.imfrombytes(img.image) + mmcv.imwrite(img, img_path) + + def save_calib(self, frame, file_idx, frame_idx): + """Parse and save the calibration data. + + Args: + frame (:obj:`Frame`): Open dataset frame proto. + file_idx (int): Current file index. + frame_idx (int): Current frame index. + """ + # waymo front camera to kitti reference camera + T_front_cam_to_ref = np.array([[0.0, -1.0, 0.0], [0.0, 0.0, -1.0], + [1.0, 0.0, 0.0]]) + camera_calibs = [] + R0_rect = [f'{i:e}' for i in np.eye(3).flatten()] + Tr_velo_to_cams = [] + calib_context = '' + + for camera in frame.context.camera_calibrations: + # extrinsic parameters + T_cam_to_vehicle = np.array(camera.extrinsic.transform).reshape( + 4, 4) + T_vehicle_to_cam = np.linalg.inv(T_cam_to_vehicle) + Tr_velo_to_cam = \ + self.cart_to_homo(T_front_cam_to_ref) @ T_vehicle_to_cam + if camera.name == 1: # FRONT = 1, see dataset.proto for details + self.T_velo_to_front_cam = Tr_velo_to_cam.copy() + Tr_velo_to_cam = Tr_velo_to_cam[:3, :].reshape((12, )) + Tr_velo_to_cams.append([f'{i:e}' for i in Tr_velo_to_cam]) + + # intrinsic parameters + camera_calib = np.zeros((3, 4)) + camera_calib[0, 0] = camera.intrinsic[0] + camera_calib[1, 1] = camera.intrinsic[1] + camera_calib[0, 2] = camera.intrinsic[2] + camera_calib[1, 2] = camera.intrinsic[3] + camera_calib[2, 2] = 1 + camera_calib = list(camera_calib.reshape(12)) + camera_calib = [f'{i:e}' for i in camera_calib] + camera_calibs.append(camera_calib) + + # all camera ids are saved as id-1 in the result because + # camera 0 is unknown in the proto + for i in range(5): + calib_context += 'P' + str(i) + ': ' + \ + ' '.join(camera_calibs[i]) + '\n' + calib_context += 'R0_rect' + ': ' + ' '.join(R0_rect) + '\n' + for i in range(5): + calib_context += 'Tr_velo_to_cam_' + str(i) + ': ' + \ + ' '.join(Tr_velo_to_cams[i]) + '\n' + + with open( + f'{self.calib_save_dir}/{self.prefix}' + + f'{str(file_idx).zfill(3)}{str(frame_idx).zfill(3)}.txt', + 'w+') as fp_calib: + fp_calib.write(calib_context) + fp_calib.close() + + def save_lidar(self, frame, file_idx, frame_idx): + """Parse and save the lidar data in psd format. + + Args: + frame (:obj:`Frame`): Open dataset frame proto. + file_idx (int): Current file index. + frame_idx (int): Current frame index. + """ + range_images, camera_projections, range_image_top_pose = \ + parse_range_image_and_camera_projection(frame) + + # First return + points_0, cp_points_0, intensity_0, elongation_0 = \ + self.convert_range_image_to_point_cloud( + frame, + range_images, + camera_projections, + range_image_top_pose, + ri_index=0 + ) + points_0 = np.concatenate(points_0, axis=0) + intensity_0 = np.concatenate(intensity_0, axis=0) + elongation_0 = np.concatenate(elongation_0, axis=0) + + # Second return + points_1, cp_points_1, intensity_1, elongation_1 = \ + self.convert_range_image_to_point_cloud( + frame, + range_images, + camera_projections, + range_image_top_pose, + ri_index=1 + ) + points_1 = np.concatenate(points_1, axis=0) + intensity_1 = np.concatenate(intensity_1, axis=0) + elongation_1 = np.concatenate(elongation_1, axis=0) + + points = np.concatenate([points_0, points_1], axis=0) + intensity = np.concatenate([intensity_0, intensity_1], axis=0) + elongation = np.concatenate([elongation_0, elongation_1], axis=0) + timestamp = frame.timestamp_micros * np.ones_like(intensity) + + # concatenate x,y,z, intensity, elongation, timestamp (6-dim) + point_cloud = np.column_stack( + (points, intensity, elongation, timestamp)) + + pc_path = f'{self.point_cloud_save_dir}/{self.prefix}' + \ + f'{str(file_idx).zfill(3)}{str(frame_idx).zfill(3)}.bin' + point_cloud.astype(np.float32).tofile(pc_path) + + def save_label(self, frame, file_idx, frame_idx): + """Parse and save the label data in txt format. + The relation between waymo and kitti coordinates is noteworthy: + 1. x, y, z correspond to l, w, h (waymo) -> l, h, w (kitti) + 2. x-y-z: front-left-up (waymo) -> right-down-front(kitti) + 3. bbox origin at volumetric center (waymo) -> bottom center (kitti) + 4. rotation: +x around y-axis (kitti) -> +x around z-axis (waymo) + + Args: + frame (:obj:`Frame`): Open dataset frame proto. + file_idx (int): Current file index. + frame_idx (int): Current frame index. + """ + fp_label_all = open( + f'{self.label_all_save_dir}/{self.prefix}' + + f'{str(file_idx).zfill(3)}{str(frame_idx).zfill(3)}.txt', 'w+') + id_to_bbox = dict() + id_to_name = dict() + for labels in frame.projected_lidar_labels: + name = labels.name + for label in labels.labels: + # TODO: need a workaround as bbox may not belong to front cam + bbox = [ + label.box.center_x - label.box.length / 2, + label.box.center_y - label.box.width / 2, + label.box.center_x + label.box.length / 2, + label.box.center_y + label.box.width / 2 + ] + id_to_bbox[label.id] = bbox + id_to_name[label.id] = name - 1 + + for obj in frame.laser_labels: + bounding_box = None + name = None + id = obj.id + for lidar in self.lidar_list: + if id + lidar in id_to_bbox: + bounding_box = id_to_bbox.get(id + lidar) + name = str(id_to_name.get(id + lidar)) + break + + if bounding_box is None or name is None: + name = '0' + bounding_box = (0, 0, 0, 0) + + my_type = self.type_list[obj.type] + + if my_type not in self.selected_waymo_classes: + continue + + if self.filter_empty_3dboxes and obj.num_lidar_points_in_box < 1: + continue + + my_type = self.waymo_to_kitti_class_map[my_type] + + height = obj.box.height + width = obj.box.width + length = obj.box.length + + x = obj.box.center_x + y = obj.box.center_y + z = obj.box.center_z - height / 2 + + # project bounding box to the virtual reference frame + pt_ref = self.T_velo_to_front_cam @ \ + np.array([x, y, z, 1]).reshape((4, 1)) + x, y, z, _ = pt_ref.flatten().tolist() + + rotation_y = -obj.box.heading - np.pi / 2 + track_id = obj.id + + # not available + truncated = 0 + occluded = 0 + alpha = -10 + + line = my_type + \ + ' {} {} {} {} {} {} {} {} {} {} {} {} {} {}\n'.format( + round(truncated, 2), occluded, round(alpha, 2), + round(bounding_box[0], 2), round(bounding_box[1], 2), + round(bounding_box[2], 2), round(bounding_box[3], 2), + round(height, 2), round(width, 2), round(length, 2), + round(x, 2), round(y, 2), round(z, 2), + round(rotation_y, 2)) + + if self.save_track_id: + line_all = line[:-1] + ' ' + name + ' ' + track_id + '\n' + else: + line_all = line[:-1] + ' ' + name + '\n' + + fp_label = open( + f'{self.label_save_dir}{name}/{self.prefix}' + + f'{str(file_idx).zfill(3)}{str(frame_idx).zfill(3)}.txt', 'a') + fp_label.write(line) + fp_label.close() + + fp_label_all.write(line_all) + + fp_label_all.close() + + def save_pose(self, frame, file_idx, frame_idx): + """Parse and save the pose data. + + Note that SDC's own pose is not included in the regular training + of KITTI dataset. KITTI raw dataset contains ego motion files + but are not often used. Pose is important for algorithms that + take advantage of the temporal information. + + Args: + frame (:obj:`Frame`): Open dataset frame proto. + file_idx (int): Current file index. + frame_idx (int): Current frame index. + """ + pose = np.array(frame.pose.transform).reshape(4, 4) + np.savetxt( + join(f'{self.pose_save_dir}/{self.prefix}' + + f'{str(file_idx).zfill(3)}{str(frame_idx).zfill(3)}.txt'), + pose) + + def create_folder(self): + """Create folder for data preprocessing.""" + if not self.test_mode: + dir_list1 = [ + self.label_all_save_dir, self.calib_save_dir, + self.point_cloud_save_dir, self.pose_save_dir + ] + dir_list2 = [self.label_save_dir, self.image_save_dir] + else: + dir_list1 = [ + self.calib_save_dir, self.point_cloud_save_dir, + self.pose_save_dir + ] + dir_list2 = [self.image_save_dir] + for d in dir_list1: + mmcv.mkdir_or_exist(d) + for d in dir_list2: + for i in range(5): + mmcv.mkdir_or_exist(f'{d}{str(i)}') + + def convert_range_image_to_point_cloud(self, + frame, + range_images, + camera_projections, + range_image_top_pose, + ri_index=0): + """Convert range images to point cloud. + + Args: + frame (:obj:`Frame`): Open dataset frame. + range_images (dict): Mapping from laser_name to list of two + range images corresponding with two returns. + camera_projections (dict): Mapping from laser_name to list of two + camera projections corresponding with two returns. + range_image_top_pose (:obj:`Transform`): Range image pixel pose for + top lidar. + ri_index (int): 0 for the first return, 1 for the second return. + Default: 0. + + Returns: + tuple[list[np.ndarray]]: (List of points with shape [N, 3], + camera projections of points with shape [N, 6], intensity + with shape [N, 1], elongation with shape [N, 1]). All the + lists have the length of lidar numbers (5). + """ + calibrations = sorted( + frame.context.laser_calibrations, key=lambda c: c.name) + points = [] + cp_points = [] + intensity = [] + elongation = [] + + frame_pose = tf.convert_to_tensor( + value=np.reshape(np.array(frame.pose.transform), [4, 4])) + # [H, W, 6] + range_image_top_pose_tensor = tf.reshape( + tf.convert_to_tensor(value=range_image_top_pose.data), + range_image_top_pose.shape.dims) + # [H, W, 3, 3] + range_image_top_pose_tensor_rotation = \ + transform_utils.get_rotation_matrix( + range_image_top_pose_tensor[..., 0], + range_image_top_pose_tensor[..., 1], + range_image_top_pose_tensor[..., 2]) + range_image_top_pose_tensor_translation = \ + range_image_top_pose_tensor[..., 3:] + range_image_top_pose_tensor = transform_utils.get_transform( + range_image_top_pose_tensor_rotation, + range_image_top_pose_tensor_translation) + for c in calibrations: + range_image = range_images[c.name][ri_index] + if len(c.beam_inclinations) == 0: + beam_inclinations = range_image_utils.compute_inclination( + tf.constant( + [c.beam_inclination_min, c.beam_inclination_max]), + height=range_image.shape.dims[0]) + else: + beam_inclinations = tf.constant(c.beam_inclinations) + + beam_inclinations = tf.reverse(beam_inclinations, axis=[-1]) + extrinsic = np.reshape(np.array(c.extrinsic.transform), [4, 4]) + + range_image_tensor = tf.reshape( + tf.convert_to_tensor(value=range_image.data), + range_image.shape.dims) + pixel_pose_local = None + frame_pose_local = None + if c.name == dataset_pb2.LaserName.TOP: + pixel_pose_local = range_image_top_pose_tensor + pixel_pose_local = tf.expand_dims(pixel_pose_local, axis=0) + frame_pose_local = tf.expand_dims(frame_pose, axis=0) + range_image_mask = range_image_tensor[..., 0] > 0 + + if self.filter_no_label_zone_points: + nlz_mask = range_image_tensor[..., 3] != 1.0 # 1.0: in NLZ + range_image_mask = range_image_mask & nlz_mask + + range_image_cartesian = \ + range_image_utils.extract_point_cloud_from_range_image( + tf.expand_dims(range_image_tensor[..., 0], axis=0), + tf.expand_dims(extrinsic, axis=0), + tf.expand_dims(tf.convert_to_tensor( + value=beam_inclinations), axis=0), + pixel_pose=pixel_pose_local, + frame_pose=frame_pose_local) + + range_image_cartesian = tf.squeeze(range_image_cartesian, axis=0) + points_tensor = tf.gather_nd(range_image_cartesian, + tf.compat.v1.where(range_image_mask)) + + cp = camera_projections[c.name][ri_index] + cp_tensor = tf.reshape( + tf.convert_to_tensor(value=cp.data), cp.shape.dims) + cp_points_tensor = tf.gather_nd( + cp_tensor, tf.compat.v1.where(range_image_mask)) + points.append(points_tensor.numpy()) + cp_points.append(cp_points_tensor.numpy()) + + intensity_tensor = tf.gather_nd(range_image_tensor[..., 1], + tf.where(range_image_mask)) + intensity.append(intensity_tensor.numpy()) + + elongation_tensor = tf.gather_nd(range_image_tensor[..., 2], + tf.where(range_image_mask)) + elongation.append(elongation_tensor.numpy()) + + return points, cp_points, intensity, elongation + + def cart_to_homo(self, mat): + """Convert transformation matrix in Cartesian coordinates to + homogeneous format. + + Args: + mat (np.ndarray): Transformation matrix in Cartesian. + The input matrix shape is 3x3 or 3x4. + + Returns: + np.ndarray: Transformation matrix in homogeneous format. + The matrix shape is 4x4. + """ + ret = np.eye(4) + if mat.shape == (3, 3): + ret[:3, :3] = mat + elif mat.shape == (3, 4): + ret[:3, :] = mat + else: + raise ValueError(mat.shape) + return ret diff --git a/tools/debug_train.py b/tools/debug_train.py new file mode 100644 index 0000000..da1f761 --- /dev/null +++ b/tools/debug_train.py @@ -0,0 +1,259 @@ +# --------------------------------------------- +# Copyright (c) OpenMMLab. All rights reserved. +# --------------------------------------------- +# Modified by Zhiqi Li +# --------------------------------------------- + +from __future__ import division + +import argparse +import copy +import mmcv +import os +import time +import torch +import warnings +from mmcv import Config, DictAction +from mmcv.runner import get_dist_info, init_dist +from os import path as osp + +from mmdet import __version__ as mmdet_version +from mmdet3d import __version__ as mmdet3d_version +#from mmdet3d.apis import train_model + +from mmdet3d.datasets import build_dataset +from mmdet3d.models import build_model +from mmdet3d.utils import collect_env, get_root_logger +from mmdet.apis import set_random_seed +from mmseg import __version__ as mmseg_version + +from mmcv.utils import TORCH_VERSION, digit_version + + +def parse_args(): + parser = argparse.ArgumentParser(description='Train a detector') + parser.add_argument('config', help='train config file path') + parser.add_argument('--work-dir', help='the dir to save logs and models') + parser.add_argument( + '--resume-from', help='the checkpoint file to resume from') + parser.add_argument( + '--no-validate', + action='store_true', + help='whether not to evaluate the checkpoint during training') + group_gpus = parser.add_mutually_exclusive_group() + group_gpus.add_argument( + '--gpus', + type=int, + help='number of gpus to use ' + '(only applicable to non-distributed training)') + group_gpus.add_argument( + '--gpu-ids', + type=int, + nargs='+', + help='ids of gpus to use ' + '(only applicable to non-distributed training)') + parser.add_argument('--seed', type=int, default=0, help='random seed') + parser.add_argument( + '--deterministic', + action='store_true', + help='whether to set deterministic options for CUDNN backend.') + parser.add_argument( + '--options', + nargs='+', + action=DictAction, + help='override some settings in the used config, the key-value pair ' + 'in xxx=yyy format will be merged into config file (deprecate), ' + 'change to --cfg-options instead.') + parser.add_argument( + '--cfg-options', + nargs='+', + action=DictAction, + help='override some settings in the used config, the key-value pair ' + 'in xxx=yyy format will be merged into config file. If the value to ' + 'be overwritten is a list, it should be like key="[a,b]" or key=a,b ' + 'It also allows nested list/tuple values, e.g. key="[(a,b),(c,d)]" ' + 'Note that the quotation marks are necessary and that no white space ' + 'is allowed.') + parser.add_argument( + '--launcher', + choices=['none', 'pytorch', 'slurm', 'mpi'], + default='none', + help='job launcher') + parser.add_argument('--local_rank', type=int, default=0) + parser.add_argument( + '--autoscale-lr', + action='store_true', + help='automatically scale lr with the number of gpus') + args = parser.parse_args() + if 'LOCAL_RANK' not in os.environ: + os.environ['LOCAL_RANK'] = str(args.local_rank) + + if args.options and args.cfg_options: + raise ValueError( + '--options and --cfg-options cannot be both specified, ' + '--options is deprecated in favor of --cfg-options') + if args.options: + warnings.warn('--options is deprecated in favor of --cfg-options') + args.cfg_options = args.options + + return args + + +def main(): + args = parse_args() + + cfg = Config.fromfile(args.config) + if args.cfg_options is not None: + cfg.merge_from_dict(args.cfg_options) + # import modules from string list. + if cfg.get('custom_imports', None): + from mmcv.utils import import_modules_from_strings + import_modules_from_strings(**cfg['custom_imports']) + + # import modules from plguin/xx, registry will be updated + if hasattr(cfg, 'plugin'): + if cfg.plugin: + import importlib + if hasattr(cfg, 'plugin_dir'): + plugin_dir = cfg.plugin_dir + _module_dir = os.path.dirname(plugin_dir) + _module_dir = _module_dir.split('/') + _module_path = _module_dir[0] + + for m in _module_dir[1:]: + _module_path = _module_path + '.' + m + print(_module_path) + plg_lib = importlib.import_module(_module_path) + else: + # import dir is the dirpath for the config file + _module_dir = os.path.dirname(args.config) + _module_dir = _module_dir.split('/') + _module_path = _module_dir[0] + for m in _module_dir[1:]: + _module_path = _module_path + '.' + m + print(_module_path) + plg_lib = importlib.import_module(_module_path) + + from projects.mmdet3d_plugin.bevformer.apis.train import custom_train_model + # set cudnn_benchmark + if cfg.get('cudnn_benchmark', False): + torch.backends.cudnn.benchmark = True + + # work_dir is determined in this priority: CLI > segment in file > filename + if args.work_dir is not None: + # update configs according to CLI args if args.work_dir is not None + cfg.work_dir = args.work_dir + elif cfg.get('work_dir', None) is None: + # use config filename as default work_dir if cfg.work_dir is None + cfg.work_dir = osp.join('./work_dirs', + osp.splitext(osp.basename(args.config))[0]) + # if args.resume_from is not None: + if args.resume_from is not None and osp.isfile(args.resume_from): + cfg.resume_from = args.resume_from + if args.gpu_ids is not None: + cfg.gpu_ids = args.gpu_ids + else: + cfg.gpu_ids = range(1) if args.gpus is None else range(args.gpus) + if digit_version(TORCH_VERSION) == digit_version('1.8.1') and cfg.optimizer['type'] == 'AdamW': + cfg.optimizer['type'] = 'AdamW2' # fix bug in Adamw + if args.autoscale_lr: + # apply the linear scaling rule (https://arxiv.org/abs/1706.02677) + cfg.optimizer['lr'] = cfg.optimizer['lr'] * len(cfg.gpu_ids) / 8 + + # init distributed env first, since logger depends on the dist info. + if args.launcher == 'none': + distributed = False + else: + distributed = True + init_dist(args.launcher, **cfg.dist_params) + # re-set gpu_ids with distributed training mode + _, world_size = get_dist_info() + cfg.gpu_ids = range(world_size) + + # create work_dir + mmcv.mkdir_or_exist(osp.abspath(cfg.work_dir)) + # dump config + cfg.dump(osp.join(cfg.work_dir, osp.basename(args.config))) + # init the logger before other steps + timestamp = time.strftime('%Y%m%d_%H%M%S', time.localtime()) + log_file = osp.join(cfg.work_dir, f'{timestamp}.log') + # specify logger name, if we still use 'mmdet', the output info will be + # filtered and won't be saved in the log_file + # TODO: ugly workaround to judge whether we are training det or seg model + if cfg.model.type in ['EncoderDecoder3D']: + logger_name = 'mmseg' + else: + logger_name = 'mmdet' + logger = get_root_logger( + log_file=log_file, log_level=cfg.log_level, name=logger_name) + + # init the meta dict to record some important information such as + # environment info and seed, which will be logged + meta = dict() + # log env info + env_info_dict = collect_env() + env_info = '\n'.join([(f'{k}: {v}') for k, v in env_info_dict.items()]) + dash_line = '-' * 60 + '\n' + logger.info('Environment info:\n' + dash_line + env_info + '\n' + + dash_line) + meta['env_info'] = env_info + meta['config'] = cfg.pretty_text + + # log some basic info + logger.info(f'Distributed training: {distributed}') + logger.info(f'Config:\n{cfg.pretty_text}') + + # set random seeds + if args.seed is not None: + logger.info(f'Set random seed to {args.seed}, ' + f'deterministic: {args.deterministic}') + set_random_seed(args.seed, deterministic=args.deterministic) + cfg.seed = args.seed + meta['seed'] = args.seed + meta['exp_name'] = osp.basename(args.config) + + model = build_model( + cfg.model, + train_cfg=cfg.get('train_cfg'), + test_cfg=cfg.get('test_cfg')) + model.init_weights() + + logger.info(f'Model:\n{model}') + datasets = [build_dataset(cfg.data.train)] + if len(cfg.workflow) == 2: + val_dataset = copy.deepcopy(cfg.data.val) + # in case we use a dataset wrapper + if 'dataset' in cfg.data.train: + val_dataset.pipeline = cfg.data.train.dataset.pipeline + else: + val_dataset.pipeline = cfg.data.train.pipeline + # set test_mode=False here in deep copied config + # which do not affect AP/AR calculation later + # refer to https://mmdetection3d.readthedocs.io/en/latest/tutorials/customize_runtime.html#customize-workflow # noqa + val_dataset.test_mode = False + datasets.append(build_dataset(val_dataset)) + if cfg.checkpoint_config is not None: + # save mmdet version, config file content and class names in + # checkpoints as meta data + cfg.checkpoint_config.meta = dict( + mmdet_version=mmdet_version, + mmseg_version=mmseg_version, + mmdet3d_version=mmdet3d_version, + config=cfg.pretty_text, + CLASSES=datasets[0].CLASSES, + PALETTE=datasets[0].PALETTE # for segmentors + if hasattr(datasets[0], 'PALETTE') else None) + # add an attribute for visualization convenience + model.CLASSES = datasets[0].CLASSES + custom_train_model( + model, + datasets, + cfg, + distributed=distributed, + validate=(not args.no_validate), + timestamp=timestamp, + meta=meta) + + +if __name__ == '__main__': + main() diff --git a/tools/dist_test.sh b/tools/dist_test.sh new file mode 100755 index 0000000..3e2ec30 --- /dev/null +++ b/tools/dist_test.sh @@ -0,0 +1,10 @@ +#!/usr/bin/env bash + +CONFIG=$1 +CHECKPOINT=$2 +GPUS=$3 +PORT=${PORT:-29503} + +PYTHONPATH="$(dirname $0)/..":$PYTHONPATH \ +python -m torch.distributed.launch --nproc_per_node=$GPUS --master_port=$PORT \ + $(dirname "$0")/test.py $CONFIG $CHECKPOINT --launcher pytorch ${@:4} --eval bbox diff --git a/tools/dist_train.sh b/tools/dist_train.sh new file mode 100755 index 0000000..141b284 --- /dev/null +++ b/tools/dist_train.sh @@ -0,0 +1,9 @@ +#!/usr/bin/env bash + +CONFIG=$1 +GPUS=$2 +PORT=${PORT:-28509} + +PYTHONPATH="$(dirname $0)/..":$PYTHONPATH \ +python -m torch.distributed.launch --nproc_per_node=$GPUS --master_port=$PORT \ + $(dirname "$0")/train.py $CONFIG --launcher pytorch ${@:3} --deterministic diff --git a/tools/fp16/dist_train.sh b/tools/fp16/dist_train.sh new file mode 100755 index 0000000..4ac9a15 --- /dev/null +++ b/tools/fp16/dist_train.sh @@ -0,0 +1,9 @@ +#!/usr/bin/env bash + +CONFIG=$1 +GPUS=$2 +PORT=${PORT:-28508} + +PYTHONPATH="$(dirname $0)/..":$PYTHONPATH \ +python -m torch.distributed.launch --nproc_per_node=$GPUS --master_port=$PORT \ + $(dirname "$0")/train.py $CONFIG --launcher pytorch ${@:3} --deterministic diff --git a/tools/fp16/train.py b/tools/fp16/train.py new file mode 100644 index 0000000..eddc349 --- /dev/null +++ b/tools/fp16/train.py @@ -0,0 +1,271 @@ +# Copyright (c) OpenMMLab. All rights reserved. +from __future__ import division + +import argparse +import copy +import mmcv +import os +import time +import torch +import warnings +from mmcv import Config, DictAction +from mmcv.runner import get_dist_info, init_dist, wrap_fp16_model +from os import path as osp + +from mmdet import __version__ as mmdet_version +from mmdet3d import __version__ as mmdet3d_version +#from mmdet3d.apis import train_model + +from mmdet3d.datasets import build_dataset +from mmdet3d.models import build_model +from mmdet3d.utils import collect_env, get_root_logger +from mmdet.apis import set_random_seed +from mmseg import __version__ as mmseg_version + +from mmcv.utils import TORCH_VERSION, digit_version + +def parse_args(): + parser = argparse.ArgumentParser(description='Train a detector') + parser.add_argument('config', help='train config file path') + parser.add_argument('--work-dir', help='the dir to save logs and models') + parser.add_argument( + '--resume-from', help='the checkpoint file to resume from') + parser.add_argument( + '--no-validate', + action='store_true', + help='whether not to evaluate the checkpoint during training') + group_gpus = parser.add_mutually_exclusive_group() + group_gpus.add_argument( + '--gpus', + type=int, + help='number of gpus to use ' + '(only applicable to non-distributed training)') + group_gpus.add_argument( + '--gpu-ids', + type=int, + nargs='+', + help='ids of gpus to use ' + '(only applicable to non-distributed training)') + parser.add_argument('--seed', type=int, default=0, help='random seed') + parser.add_argument( + '--deterministic', + action='store_true', + help='whether to set deterministic options for CUDNN backend.') + parser.add_argument( + '--options', + nargs='+', + action=DictAction, + help='override some settings in the used config, the key-value pair ' + 'in xxx=yyy format will be merged into config file (deprecate), ' + 'change to --cfg-options instead.') + parser.add_argument( + '--cfg-options', + nargs='+', + action=DictAction, + help='override some settings in the used config, the key-value pair ' + 'in xxx=yyy format will be merged into config file. If the value to ' + 'be overwritten is a list, it should be like key="[a,b]" or key=a,b ' + 'It also allows nested list/tuple values, e.g. key="[(a,b),(c,d)]" ' + 'Note that the quotation marks are necessary and that no white space ' + 'is allowed.') + parser.add_argument( + '--launcher', + choices=['none', 'pytorch', 'slurm', 'mpi'], + default='none', + help='job launcher') + parser.add_argument('--local_rank', type=int, default=0) + parser.add_argument( + '--autoscale-lr', + action='store_true', + help='automatically scale lr with the number of gpus') + args = parser.parse_args() + if 'LOCAL_RANK' not in os.environ: + os.environ['LOCAL_RANK'] = str(args.local_rank) + + if args.options and args.cfg_options: + raise ValueError( + '--options and --cfg-options cannot be both specified, ' + '--options is deprecated in favor of --cfg-options') + if args.options: + warnings.warn('--options is deprecated in favor of --cfg-options') + args.cfg_options = args.options + + return args + + +def main(): + args = parse_args() + + cfg = Config.fromfile(args.config) + if args.cfg_options is not None: + cfg.merge_from_dict(args.cfg_options) + # import modules from string list. + if cfg.get('custom_imports', None): + from mmcv.utils import import_modules_from_strings + import_modules_from_strings(**cfg['custom_imports']) + + # import modules from plguin/xx, registry will be updated + if hasattr(cfg, 'plugin'): + if cfg.plugin: + import importlib + if hasattr(cfg, 'plugin_dir'): + plugin_dir = cfg.plugin_dir + _module_dir = os.path.dirname(plugin_dir) + _module_dir = _module_dir.split('/') + _module_path = _module_dir[0] + + for m in _module_dir[1:]: + _module_path = _module_path + '.' + m + print(_module_path) + plg_lib = importlib.import_module(_module_path) + else: + # import dir is the dirpath for the config file + _module_dir = os.path.dirname(args.config) + _module_dir = _module_dir.split('/') + _module_path = _module_dir[0] + for m in _module_dir[1:]: + _module_path = _module_path + '.' + m + print(_module_path) + plg_lib = importlib.import_module(_module_path) + + from projects.mmdet3d_plugin.bevformer.apis import custom_train_model + # set cudnn_benchmark + if cfg.get('cudnn_benchmark', False): + torch.backends.cudnn.benchmark = True + + # work_dir is determined in this priority: CLI > segment in file > filename + if args.work_dir is not None: + # update configs according to CLI args if args.work_dir is not None + cfg.work_dir = args.work_dir + elif cfg.get('work_dir', None) is None: + # use config filename as default work_dir if cfg.work_dir is None + cfg.work_dir = osp.join('./work_dirs', + osp.splitext(osp.basename(args.config))[0]) + #if args.resume_from is not None: + + if args.resume_from is not None and osp.isfile(args.resume_from): + cfg.resume_from = args.resume_from + + if args.gpu_ids is not None: + cfg.gpu_ids = args.gpu_ids + else: + cfg.gpu_ids = range(1) if args.gpus is None else range(args.gpus) + if digit_version(TORCH_VERSION) != digit_version('1.8.1'): + cfg.optimizer['type'] = 'AdamW' + if args.autoscale_lr: + # apply the linear scaling rule (https://arxiv.org/abs/1706.02677) + cfg.optimizer['lr'] = cfg.optimizer['lr'] * len(cfg.gpu_ids) / 8 + + # init distributed env first, since logger depends on the dist info. + if args.launcher == 'none': + assert False, 'DOT NOT SUPPORT!!!' + distributed = False + else: + distributed = True + init_dist(args.launcher, **cfg.dist_params) + # re-set gpu_ids with distributed training mode + _, world_size = get_dist_info() + cfg.gpu_ids = range(world_size) + + # create work_dir + mmcv.mkdir_or_exist(osp.abspath(cfg.work_dir)) + # dump config + cfg.dump(osp.join(cfg.work_dir, osp.basename(args.config))) + # init the logger before other steps + timestamp = time.strftime('%Y%m%d_%H%M%S', time.localtime()) + log_file = osp.join(cfg.work_dir, f'{timestamp}.log') + # specify logger name, if we still use 'mmdet', the output info will be + # filtered and won't be saved in the log_file + # TODO: ugly workaround to judge whether we are training det or seg model + if cfg.model.type in ['EncoderDecoder3D']: + logger_name = 'mmseg' + else: + logger_name = 'mmdet' + logger = get_root_logger( + log_file=log_file, log_level=cfg.log_level, name=logger_name) + + # init the meta dict to record some important information such as + # environment info and seed, which will be logged + meta = dict() + # log env info + env_info_dict = collect_env() + env_info = '\n'.join([(f'{k}: {v}') for k, v in env_info_dict.items()]) + dash_line = '-' * 60 + '\n' + logger.info('Environment info:\n' + dash_line + env_info + '\n' + + dash_line) + meta['env_info'] = env_info + meta['config'] = cfg.pretty_text + + # log some basic info + logger.info(f'Distributed training: {distributed}') + logger.info(f'Config:\n{cfg.pretty_text}') + + # set random seeds + if args.seed is not None: + logger.info(f'Set random seed to {args.seed}, ' + f'deterministic: {args.deterministic}') + set_random_seed(args.seed, deterministic=args.deterministic) + cfg.seed = args.seed + meta['seed'] = args.seed + meta['exp_name'] = osp.basename(args.config) + + model = build_model( + cfg.model, + train_cfg=cfg.get('train_cfg'), + test_cfg=cfg.get('test_cfg')) + model.init_weights() + + eval_model_config = copy.deepcopy(cfg.model) + eval_model = build_model( + eval_model_config, + train_cfg=cfg.get('train_cfg'), + test_cfg=cfg.get('test_cfg')) + + fp16_cfg = cfg.get('fp16', None) + if fp16_cfg is not None: + wrap_fp16_model(eval_model) + + #eval_model.init_weights() + eval_model.load_state_dict(model.state_dict()) + + logger.info(f'Model:\n{model}') + from projects.mmdet3d_plugin.datasets import custom_build_dataset + datasets = [custom_build_dataset(cfg.data.train)] + if len(cfg.workflow) == 2: + val_dataset = copy.deepcopy(cfg.data.val) + # in case we use a dataset wrapper + if 'dataset' in cfg.data.train: + val_dataset.pipeline = cfg.data.train.dataset.pipeline + else: + val_dataset.pipeline = cfg.data.train.pipeline + # set test_mode=False here in deep copied config + # which do not affect AP/AR calculation later + # refer to https://mmdetection3d.readthedocs.io/en/latest/tutorials/customize_runtime.html#customize-workflow # noqa + val_dataset.test_mode = False + datasets.append(custom_build_dataset(val_dataset)) + if cfg.checkpoint_config is not None: + # save mmdet version, config file content and class names in + # checkpoints as meta data + cfg.checkpoint_config.meta = dict( + mmdet_version=mmdet_version, + mmseg_version=mmseg_version, + mmdet3d_version=mmdet3d_version, + config=cfg.pretty_text, + CLASSES=datasets[0].CLASSES, + PALETTE=datasets[0].PALETTE # for segmentors + if hasattr(datasets[0], 'PALETTE') else None) + # add an attribute for visualization convenience + model.CLASSES = datasets[0].CLASSES + custom_train_model( + model, + datasets, + cfg, + eval_model=eval_model, + distributed=distributed, + validate=(not args.no_validate), + timestamp=timestamp, + meta=meta) + + +if __name__ == '__main__': + main() diff --git a/tools/misc/browse_dataset.py b/tools/misc/browse_dataset.py new file mode 100755 index 0000000..e3419f6 --- /dev/null +++ b/tools/misc/browse_dataset.py @@ -0,0 +1,240 @@ +# Copyright (c) OpenMMLab. All rights reserved. +import argparse +import numpy as np +import warnings +from mmcv import Config, DictAction, mkdir_or_exist, track_iter_progress +from os import path as osp + +from mmdet3d.core.bbox import (Box3DMode, CameraInstance3DBoxes, Coord3DMode, + DepthInstance3DBoxes, LiDARInstance3DBoxes) +from mmdet3d.core.visualizer import (show_multi_modality_result, show_result, + show_seg_result) +from mmdet3d.datasets import build_dataset + + +def parse_args(): + parser = argparse.ArgumentParser(description='Browse a dataset') + parser.add_argument('config', help='train config file path') + parser.add_argument( + '--skip-type', + type=str, + nargs='+', + default=['Normalize'], + help='skip some useless pipeline') + parser.add_argument( + '--output-dir', + default=None, + type=str, + help='If there is no display interface, you can save it') + parser.add_argument( + '--task', + type=str, + choices=['det', 'seg', 'multi_modality-det', 'mono-det'], + help='Determine the visualization method depending on the task.') + parser.add_argument( + '--online', + action='store_true', + help='Whether to perform online visualization. Note that you often ' + 'need a monitor to do so.') + parser.add_argument( + '--cfg-options', + nargs='+', + action=DictAction, + help='override some settings in the used config, the key-value pair ' + 'in xxx=yyy format will be merged into config file. If the value to ' + 'be overwritten is a list, it should be like key="[a,b]" or key=a,b ' + 'It also allows nested list/tuple values, e.g. key="[(a,b),(c,d)]" ' + 'Note that the quotation marks are necessary and that no white space ' + 'is allowed.') + args = parser.parse_args() + return args + + +def build_data_cfg(config_path, skip_type, cfg_options): + """Build data config for loading visualization data.""" + cfg = Config.fromfile(config_path) + if cfg_options is not None: + cfg.merge_from_dict(cfg_options) + # import modules from string list. + if cfg.get('custom_imports', None): + from mmcv.utils import import_modules_from_strings + import_modules_from_strings(**cfg['custom_imports']) + # extract inner dataset of `RepeatDataset` as `cfg.data.train` + # so we don't need to worry about it later + if cfg.data.train['type'] == 'RepeatDataset': + cfg.data.train = cfg.data.train.dataset + # use only first dataset for `ConcatDataset` + if cfg.data.train['type'] == 'ConcatDataset': + cfg.data.train = cfg.data.train.datasets[0] + train_data_cfg = cfg.data.train + # eval_pipeline purely consists of loading functions + # use eval_pipeline for data loading + train_data_cfg['pipeline'] = [ + x for x in cfg.eval_pipeline if x['type'] not in skip_type + ] + + return cfg + + +def to_depth_mode(points, bboxes): + """Convert points and bboxes to Depth Coord and Depth Box mode.""" + if points is not None: + points = Coord3DMode.convert_point(points.copy(), Coord3DMode.LIDAR, + Coord3DMode.DEPTH) + if bboxes is not None: + bboxes = Box3DMode.convert(bboxes.clone(), Box3DMode.LIDAR, + Box3DMode.DEPTH) + return points, bboxes + + +def show_det_data(idx, dataset, out_dir, filename, show=False): + """Visualize 3D point cloud and 3D bboxes.""" + example = dataset.prepare_train_data(idx) + points = example['points']._data.numpy() + gt_bboxes = dataset.get_ann_info(idx)['gt_bboxes_3d'].tensor + if dataset.box_mode_3d != Box3DMode.DEPTH: + points, gt_bboxes = to_depth_mode(points, gt_bboxes) + show_result( + points, + gt_bboxes.clone(), + None, + out_dir, + filename, + show=show, + snapshot=True) + + +def show_seg_data(idx, dataset, out_dir, filename, show=False): + """Visualize 3D point cloud and segmentation mask.""" + example = dataset.prepare_train_data(idx) + points = example['points']._data.numpy() + gt_seg = example['pts_semantic_mask']._data.numpy() + show_seg_result( + points, + gt_seg.copy(), + None, + out_dir, + filename, + np.array(dataset.PALETTE), + dataset.ignore_index, + show=show, + snapshot=True) + + +def show_proj_bbox_img(idx, + dataset, + out_dir, + filename, + show=False, + is_nus_mono=False): + """Visualize 3D bboxes on 2D image by projection.""" + try: + example = dataset.prepare_train_data(idx) + except AttributeError: # for Mono-3D datasets + example = dataset.prepare_train_img(idx) + gt_bboxes = dataset.get_ann_info(idx)['gt_bboxes_3d'] + img_metas = example['img_metas']._data + img = example['img']._data.numpy() + # need to transpose channel to first dim + img = img.transpose(1, 2, 0) + # no 3D gt bboxes, just show img + if gt_bboxes.tensor.shape[0] == 0: + gt_bboxes = None + if isinstance(gt_bboxes, DepthInstance3DBoxes): + show_multi_modality_result( + img, + gt_bboxes, + None, + None, + out_dir, + filename, + box_mode='depth', + img_metas=img_metas, + show=show) + elif isinstance(gt_bboxes, LiDARInstance3DBoxes): + show_multi_modality_result( + img, + gt_bboxes, + None, + img_metas['lidar2img'], + out_dir, + filename, + box_mode='lidar', + img_metas=img_metas, + show=show) + elif isinstance(gt_bboxes, CameraInstance3DBoxes): + show_multi_modality_result( + img, + gt_bboxes, + None, + img_metas['cam2img'], + out_dir, + filename, + box_mode='camera', + img_metas=img_metas, + show=show) + else: + # can't project, just show img + warnings.warn( + f'unrecognized gt box type {type(gt_bboxes)}, only show image') + show_multi_modality_result( + img, None, None, None, out_dir, filename, show=show) + + +def main(): + args = parse_args() + + if args.output_dir is not None: + mkdir_or_exist(args.output_dir) + + cfg = build_data_cfg(args.config, args.skip_type, args.cfg_options) + try: + dataset = build_dataset( + cfg.data.train, default_args=dict(filter_empty_gt=False)) + except TypeError: # seg dataset doesn't have `filter_empty_gt` key + dataset = build_dataset(cfg.data.train) + data_infos = dataset.data_infos + dataset_type = cfg.dataset_type + + # configure visualization mode + vis_task = args.task # 'det', 'seg', 'multi_modality-det', 'mono-det' + + for idx, data_info in enumerate(track_iter_progress(data_infos)): + if dataset_type in ['KittiDataset', 'WaymoDataset']: + data_path = data_info['point_cloud']['velodyne_path'] + elif dataset_type in [ + 'ScanNetDataset', 'SUNRGBDDataset', 'ScanNetSegDataset', + 'S3DISSegDataset', 'S3DISDataset' + ]: + data_path = data_info['pts_path'] + elif dataset_type in ['NuScenesDataset', 'LyftDataset']: + data_path = data_info['lidar_path'] + elif dataset_type in ['NuScenesMonoDataset']: + data_path = data_info['file_name'] + else: + raise NotImplementedError( + f'unsupported dataset type {dataset_type}') + + file_name = osp.splitext(osp.basename(data_path))[0] + + if vis_task in ['det', 'multi_modality-det']: + # show 3D bboxes on 3D point clouds + show_det_data( + idx, dataset, args.output_dir, file_name, show=args.online) + if vis_task in ['multi_modality-det', 'mono-det']: + # project 3D bboxes to 2D image + show_proj_bbox_img( + idx, + dataset, + args.output_dir, + file_name, + show=args.online, + is_nus_mono=(dataset_type == 'NuScenesMonoDataset')) + elif vis_task in ['seg']: + # show 3D segmentation mask on 3D point clouds + show_seg_data( + idx, dataset, args.output_dir, file_name, show=args.online) + + +if __name__ == '__main__': + main() diff --git a/tools/misc/fuse_conv_bn.py b/tools/misc/fuse_conv_bn.py new file mode 100755 index 0000000..d4e2201 --- /dev/null +++ b/tools/misc/fuse_conv_bn.py @@ -0,0 +1,67 @@ +# Copyright (c) OpenMMLab. All rights reserved. +import argparse +import torch +from mmcv.runner import save_checkpoint +from torch import nn as nn + +from mmdet.apis import init_model + + +def fuse_conv_bn(conv, bn): + """During inference, the functionary of batch norm layers is turned off but + only the mean and var alone channels are used, which exposes the chance to + fuse it with the preceding conv layers to save computations and simplify + network structures.""" + conv_w = conv.weight + conv_b = conv.bias if conv.bias is not None else torch.zeros_like( + bn.running_mean) + + factor = bn.weight / torch.sqrt(bn.running_var + bn.eps) + conv.weight = nn.Parameter(conv_w * + factor.reshape([conv.out_channels, 1, 1, 1])) + conv.bias = nn.Parameter((conv_b - bn.running_mean) * factor + bn.bias) + return conv + + +def fuse_module(m): + last_conv = None + last_conv_name = None + + for name, child in m.named_children(): + if isinstance(child, (nn.BatchNorm2d, nn.SyncBatchNorm)): + if last_conv is None: # only fuse BN that is after Conv + continue + fused_conv = fuse_conv_bn(last_conv, child) + m._modules[last_conv_name] = fused_conv + # To reduce changes, set BN as Identity instead of deleting it. + m._modules[name] = nn.Identity() + last_conv = None + elif isinstance(child, nn.Conv2d): + last_conv = child + last_conv_name = name + else: + fuse_module(child) + return m + + +def parse_args(): + parser = argparse.ArgumentParser( + description='fuse Conv and BN layers in a model') + parser.add_argument('config', help='config file path') + parser.add_argument('checkpoint', help='checkpoint file path') + parser.add_argument('out', help='output path of the converted model') + args = parser.parse_args() + return args + + +def main(): + args = parse_args() + # build the model from a config file and a checkpoint file + model = init_model(args.config, args.checkpoint) + # fuse conv and bn layers of the model + fused_model = fuse_module(model) + save_checkpoint(fused_model, args.out) + + +if __name__ == '__main__': + main() diff --git a/tools/misc/print_config.py b/tools/misc/print_config.py new file mode 100755 index 0000000..3100fc3 --- /dev/null +++ b/tools/misc/print_config.py @@ -0,0 +1,26 @@ +# Copyright (c) OpenMMLab. All rights reserved. +import argparse +from mmcv import Config, DictAction + + +def parse_args(): + parser = argparse.ArgumentParser(description='Print the whole config') + parser.add_argument('config', help='config file path') + parser.add_argument( + '--options', nargs='+', action=DictAction, help='arguments in dict') + args = parser.parse_args() + + return args + + +def main(): + args = parse_args() + + cfg = Config.fromfile(args.config) + if args.options is not None: + cfg.merge_from_dict(args.options) + print(f'Config:\n{cfg.pretty_text}') + + +if __name__ == '__main__': + main() diff --git a/tools/misc/visualize_results.py b/tools/misc/visualize_results.py new file mode 100755 index 0000000..302adc5 --- /dev/null +++ b/tools/misc/visualize_results.py @@ -0,0 +1,49 @@ +# Copyright (c) OpenMMLab. All rights reserved. +import argparse +import mmcv +from mmcv import Config + +from mmdet3d.datasets import build_dataset + + +def parse_args(): + parser = argparse.ArgumentParser( + description='MMDet3D visualize the results') + parser.add_argument('config', help='test config file path') + parser.add_argument('--result', help='results file in pickle format') + parser.add_argument( + '--show-dir', help='directory where visualize results will be saved') + args = parser.parse_args() + + return args + + +def main(): + args = parse_args() + + if args.result is not None and \ + not args.result.endswith(('.pkl', '.pickle')): + raise ValueError('The results file must be a pkl file.') + + cfg = Config.fromfile(args.config) + cfg.data.test.test_mode = True + + # build the dataset + dataset = build_dataset(cfg.data.test) + results = mmcv.load(args.result) + + if getattr(dataset, 'show', None) is not None: + # data loading pipeline for showing + eval_pipeline = cfg.get('eval_pipeline', {}) + if eval_pipeline: + dataset.show(results, args.show_dir, pipeline=eval_pipeline) + else: + dataset.show(results, args.show_dir) # use default pipeline + else: + raise NotImplementedError( + 'Show is not implemented for dataset {}!'.format( + type(dataset).__name__)) + + +if __name__ == '__main__': + main() diff --git a/tools/model_converters/convert_votenet_checkpoints.py b/tools/model_converters/convert_votenet_checkpoints.py new file mode 100755 index 0000000..33792b0 --- /dev/null +++ b/tools/model_converters/convert_votenet_checkpoints.py @@ -0,0 +1,152 @@ +# Copyright (c) OpenMMLab. All rights reserved. +import argparse +import tempfile +import torch +from mmcv import Config +from mmcv.runner import load_state_dict + +from mmdet3d.models import build_detector + + +def parse_args(): + parser = argparse.ArgumentParser( + description='MMDet3D upgrade model version(before v0.6.0) of VoteNet') + parser.add_argument('checkpoint', help='checkpoint file') + parser.add_argument('--out', help='path of the output checkpoint file') + args = parser.parse_args() + return args + + +def parse_config(config_strings): + """Parse config from strings. + + Args: + config_strings (string): strings of model config. + + Returns: + Config: model config + """ + temp_file = tempfile.NamedTemporaryFile() + config_path = f'{temp_file.name}.py' + with open(config_path, 'w') as f: + f.write(config_strings) + + config = Config.fromfile(config_path) + + # Update backbone config + if 'pool_mod' in config.model.backbone: + config.model.backbone.pop('pool_mod') + + if 'sa_cfg' not in config.model.backbone: + config.model.backbone['sa_cfg'] = dict( + type='PointSAModule', + pool_mod='max', + use_xyz=True, + normalize_xyz=True) + + if 'type' not in config.model.bbox_head.vote_aggregation_cfg: + config.model.bbox_head.vote_aggregation_cfg['type'] = 'PointSAModule' + + # Update bbox_head config + if 'pred_layer_cfg' not in config.model.bbox_head: + config.model.bbox_head['pred_layer_cfg'] = dict( + in_channels=128, shared_conv_channels=(128, 128), bias=True) + + if 'feat_channels' in config.model.bbox_head: + config.model.bbox_head.pop('feat_channels') + + if 'vote_moudule_cfg' in config.model.bbox_head: + config.model.bbox_head['vote_module_cfg'] = config.model.bbox_head.pop( + 'vote_moudule_cfg') + + if config.model.bbox_head.vote_aggregation_cfg.use_xyz: + config.model.bbox_head.vote_aggregation_cfg.mlp_channels[0] -= 3 + + temp_file.close() + + return config + + +def main(): + """Convert keys in checkpoints for VoteNet. + + There can be some breaking changes during the development of mmdetection3d, + and this tool is used for upgrading checkpoints trained with old versions + (before v0.6.0) to the latest one. + """ + args = parse_args() + checkpoint = torch.load(args.checkpoint) + cfg = parse_config(checkpoint['meta']['config']) + # Build the model and load checkpoint + model = build_detector( + cfg.model, + train_cfg=cfg.get('train_cfg'), + test_cfg=cfg.get('test_cfg')) + orig_ckpt = checkpoint['state_dict'] + converted_ckpt = orig_ckpt.copy() + + if cfg['dataset_type'] == 'ScanNetDataset': + NUM_CLASSES = 18 + elif cfg['dataset_type'] == 'SUNRGBDDataset': + NUM_CLASSES = 10 + else: + raise NotImplementedError + + RENAME_PREFIX = { + 'bbox_head.conv_pred.0': 'bbox_head.conv_pred.shared_convs.layer0', + 'bbox_head.conv_pred.1': 'bbox_head.conv_pred.shared_convs.layer1' + } + + DEL_KEYS = [ + 'bbox_head.conv_pred.0.bn.num_batches_tracked', + 'bbox_head.conv_pred.1.bn.num_batches_tracked' + ] + + EXTRACT_KEYS = { + 'bbox_head.conv_pred.conv_cls.weight': + ('bbox_head.conv_pred.conv_out.weight', [(0, 2), (-NUM_CLASSES, -1)]), + 'bbox_head.conv_pred.conv_cls.bias': + ('bbox_head.conv_pred.conv_out.bias', [(0, 2), (-NUM_CLASSES, -1)]), + 'bbox_head.conv_pred.conv_reg.weight': + ('bbox_head.conv_pred.conv_out.weight', [(2, -NUM_CLASSES)]), + 'bbox_head.conv_pred.conv_reg.bias': + ('bbox_head.conv_pred.conv_out.bias', [(2, -NUM_CLASSES)]) + } + + # Delete some useless keys + for key in DEL_KEYS: + converted_ckpt.pop(key) + + # Rename keys with specific prefix + RENAME_KEYS = dict() + for old_key in converted_ckpt.keys(): + for rename_prefix in RENAME_PREFIX.keys(): + if rename_prefix in old_key: + new_key = old_key.replace(rename_prefix, + RENAME_PREFIX[rename_prefix]) + RENAME_KEYS[new_key] = old_key + for new_key, old_key in RENAME_KEYS.items(): + converted_ckpt[new_key] = converted_ckpt.pop(old_key) + + # Extract weights and rename the keys + for new_key, (old_key, indices) in EXTRACT_KEYS.items(): + cur_layers = orig_ckpt[old_key] + converted_layers = [] + for (start, end) in indices: + if end != -1: + converted_layers.append(cur_layers[start:end]) + else: + converted_layers.append(cur_layers[start:]) + converted_layers = torch.cat(converted_layers, 0) + converted_ckpt[new_key] = converted_layers + if old_key in converted_ckpt.keys(): + converted_ckpt.pop(old_key) + + # Check the converted checkpoint by loading to the model + load_state_dict(model, converted_ckpt, strict=True) + checkpoint['state_dict'] = converted_ckpt + torch.save(checkpoint, args.out) + + +if __name__ == '__main__': + main() diff --git a/tools/model_converters/publish_model.py b/tools/model_converters/publish_model.py new file mode 100755 index 0000000..318fd46 --- /dev/null +++ b/tools/model_converters/publish_model.py @@ -0,0 +1,35 @@ +# Copyright (c) OpenMMLab. All rights reserved. +import argparse +import subprocess +import torch + + +def parse_args(): + parser = argparse.ArgumentParser( + description='Process a checkpoint to be published') + parser.add_argument('in_file', help='input checkpoint filename') + parser.add_argument('out_file', help='output checkpoint filename') + args = parser.parse_args() + return args + + +def process_checkpoint(in_file, out_file): + checkpoint = torch.load(in_file, map_location='cpu') + # remove optimizer for smaller file size + if 'optimizer' in checkpoint: + del checkpoint['optimizer'] + # if it is necessary to remove some sensitive data in checkpoint['meta'], + # add the code here. + torch.save(checkpoint, out_file) + sha = subprocess.check_output(['sha256sum', out_file]).decode() + final_file = out_file.rstrip('.pth') + '-{}.pth'.format(sha[:8]) + subprocess.Popen(['mv', out_file, final_file]) + + +def main(): + args = parse_args() + process_checkpoint(args.in_file, args.out_file) + + +if __name__ == '__main__': + main() diff --git a/tools/model_converters/regnet2mmdet.py b/tools/model_converters/regnet2mmdet.py new file mode 100755 index 0000000..9dee3c8 --- /dev/null +++ b/tools/model_converters/regnet2mmdet.py @@ -0,0 +1,89 @@ +# Copyright (c) OpenMMLab. All rights reserved. +import argparse +import torch +from collections import OrderedDict + + +def convert_stem(model_key, model_weight, state_dict, converted_names): + new_key = model_key.replace('stem.conv', 'conv1') + new_key = new_key.replace('stem.bn', 'bn1') + state_dict[new_key] = model_weight + converted_names.add(model_key) + print(f'Convert {model_key} to {new_key}') + + +def convert_head(model_key, model_weight, state_dict, converted_names): + new_key = model_key.replace('head.fc', 'fc') + state_dict[new_key] = model_weight + converted_names.add(model_key) + print(f'Convert {model_key} to {new_key}') + + +def convert_reslayer(model_key, model_weight, state_dict, converted_names): + split_keys = model_key.split('.') + layer, block, module = split_keys[:3] + block_id = int(block[1:]) + layer_name = f'layer{int(layer[1:])}' + block_name = f'{block_id - 1}' + + if block_id == 1 and module == 'bn': + new_key = f'{layer_name}.{block_name}.downsample.1.{split_keys[-1]}' + elif block_id == 1 and module == 'proj': + new_key = f'{layer_name}.{block_name}.downsample.0.{split_keys[-1]}' + elif module == 'f': + if split_keys[3] == 'a_bn': + module_name = 'bn1' + elif split_keys[3] == 'b_bn': + module_name = 'bn2' + elif split_keys[3] == 'c_bn': + module_name = 'bn3' + elif split_keys[3] == 'a': + module_name = 'conv1' + elif split_keys[3] == 'b': + module_name = 'conv2' + elif split_keys[3] == 'c': + module_name = 'conv3' + new_key = f'{layer_name}.{block_name}.{module_name}.{split_keys[-1]}' + else: + raise ValueError(f'Unsupported conversion of key {model_key}') + print(f'Convert {model_key} to {new_key}') + state_dict[new_key] = model_weight + converted_names.add(model_key) + + +def convert(src, dst): + """Convert keys in pycls pretrained RegNet models to mmdet style.""" + # load caffe model + regnet_model = torch.load(src) + blobs = regnet_model['model_state'] + # convert to pytorch style + state_dict = OrderedDict() + converted_names = set() + for key, weight in blobs.items(): + if 'stem' in key: + convert_stem(key, weight, state_dict, converted_names) + elif 'head' in key: + convert_head(key, weight, state_dict, converted_names) + elif key.startswith('s'): + convert_reslayer(key, weight, state_dict, converted_names) + + # check if all layers are converted + for key in blobs: + if key not in converted_names: + print(f'not converted: {key}') + # save checkpoint + checkpoint = dict() + checkpoint['state_dict'] = state_dict + torch.save(checkpoint, dst) + + +def main(): + parser = argparse.ArgumentParser(description='Convert model keys') + parser.add_argument('src', help='src detectron model path') + parser.add_argument('dst', help='save path') + args = parser.parse_args() + convert(args.src, args.dst) + + +if __name__ == '__main__': + main() diff --git a/tools/test.py b/tools/test.py new file mode 100755 index 0000000..71d2c77 --- /dev/null +++ b/tools/test.py @@ -0,0 +1,265 @@ +# --------------------------------------------- +# Copyright (c) OpenMMLab. All rights reserved. +# --------------------------------------------- +# Modified by Zhiqi Li +# --------------------------------------------- +import os +import sys +sys.path.insert(0, '/home/guozebin/work_code/BEVFormer/') +import argparse +import torch +import warnings +from mmcv import Config, DictAction +from mmcv.cnn import fuse_conv_bn +from mmcv.parallel import MMDataParallel, MMDistributedDataParallel +from mmcv.runner import (get_dist_info, init_dist, load_checkpoint, + wrap_fp16_model) + +#from mmdet3d.apis import single_gpu_test +from projects.mmdet3d_plugin.apis.test import single_gpu_test +from mmdet3d.datasets import build_dataset +from projects.mmdet3d_plugin.datasets.builder import build_dataloader +from mmdet3d.models import build_model +from mmdet.apis import set_random_seed +from projects.mmdet3d_plugin.bevformer.apis.test import custom_multi_gpu_test +from projects.mmdet3d_plugin.apis.test import multi_gpu_test +from mmdet.datasets import replace_ImageToTensor +import time +import os.path as osp + + +def parse_args(): + parser = argparse.ArgumentParser( + description='MMDet test (and eval) a model') + parser.add_argument('config', help='test config file path') + parser.add_argument('checkpoint', help='checkpoint file') + parser.add_argument('--out', help='output result file in pickle format') + parser.add_argument( + '--fuse-conv-bn', + action='store_true', + help='Whether to fuse conv and bn, this will slightly increase' + 'the inference speed') + parser.add_argument( + '--format-only', + action='store_true', + help='Format the output results without perform evaluation. It is' + 'useful when you want to format the result to a specific format and ' + 'submit it to the test server') + parser.add_argument( + '--eval', + type=str, + nargs='+', + help='evaluation metrics, which depends on the dataset, e.g., "bbox",' + ' "segm", "proposal" for COCO, and "mAP", "recall" for PASCAL VOC') + parser.add_argument('--show', action='store_true', help='show results') + parser.add_argument( + '--show-dir', help='directory where results will be saved') + parser.add_argument( + '--gpu-collect', + action='store_true', + help='whether to use gpu to collect results.') + parser.add_argument( + '--tmpdir', + help='tmp directory used for collecting results from multiple ' + 'workers, available when gpu-collect is not specified') + parser.add_argument('--seed', type=int, default=0, help='random seed') + parser.add_argument( + '--deterministic', + action='store_true', + help='whether to set deterministic options for CUDNN backend.') + parser.add_argument( + '--cfg-options', + nargs='+', + action=DictAction, + help='override some settings in the used config, the key-value pair ' + 'in xxx=yyy format will be merged into config file. If the value to ' + 'be overwritten is a list, it should be like key="[a,b]" or key=a,b ' + 'It also allows nested list/tuple values, e.g. key="[(a,b),(c,d)]" ' + 'Note that the quotation marks are necessary and that no white space ' + 'is allowed.') + parser.add_argument( + '--options', + nargs='+', + action=DictAction, + help='custom options for evaluation, the key-value pair in xxx=yyy ' + 'format will be kwargs for dataset.evaluate() function (deprecate), ' + 'change to --eval-options instead.') + parser.add_argument( + '--eval-options', + nargs='+', + action=DictAction, + help='custom options for evaluation, the key-value pair in xxx=yyy ' + 'format will be kwargs for dataset.evaluate() function') + parser.add_argument( + '--launcher', + choices=['none', 'pytorch', 'slurm', 'mpi'], + default='none', + help='job launcher') + parser.add_argument('--local_rank', type=int, default=0) + args = parser.parse_args() + if 'LOCAL_RANK' not in os.environ: + os.environ['LOCAL_RANK'] = str(args.local_rank) + + if args.options and args.eval_options: + raise ValueError( + '--options and --eval-options cannot be both specified, ' + '--options is deprecated in favor of --eval-options') + if args.options: + warnings.warn('--options is deprecated in favor of --eval-options') + args.eval_options = args.options + return args + + +def main(): + args = parse_args() + + assert args.out or args.eval or args.format_only or args.show \ + or args.show_dir, \ + ('Please specify at least one operation (save/eval/format/show the ' + 'results / save the results) with the argument "--out", "--eval"' + ', "--format-only", "--show" or "--show-dir"') + + if args.eval and args.format_only: + raise ValueError('--eval and --format_only cannot be both specified') + + if args.out is not None and not args.out.endswith(('.pkl', '.pickle')): + raise ValueError('The output file must be a pkl file.') + + cfg = Config.fromfile(args.config) + if args.cfg_options is not None: + cfg.merge_from_dict(args.cfg_options) + # import modules from string list. + if cfg.get('custom_imports', None): + from mmcv.utils import import_modules_from_strings + import_modules_from_strings(**cfg['custom_imports']) + + # import modules from plguin/xx, registry will be updated + if hasattr(cfg, 'plugin'): + if cfg.plugin: + import importlib + if hasattr(cfg, 'plugin_dir'): + plugin_dir = cfg.plugin_dir + _module_dir = os.path.dirname(plugin_dir) + _module_dir = _module_dir.split('/') + _module_path = _module_dir[0] + + for m in _module_dir[1:]: + _module_path = _module_path + '.' + m + print(_module_path) + plg_lib = importlib.import_module(_module_path) + else: + # import dir is the dirpath for the config file + _module_dir = os.path.dirname(args.config) + _module_dir = _module_dir.split('/') + _module_path = _module_dir[0] + for m in _module_dir[1:]: + _module_path = _module_path + '.' + m + print(_module_path) + plg_lib = importlib.import_module(_module_path) + + # set cudnn_benchmark + if cfg.get('cudnn_benchmark', False): + torch.backends.cudnn.benchmark = True + + cfg.model.pretrained = None + # in case the test dataset is concatenated + samples_per_gpu = 1 + if isinstance(cfg.data.test, dict): + cfg.data.test.test_mode = True + samples_per_gpu = cfg.data.test.pop('samples_per_gpu', 1) + if samples_per_gpu > 1: + # Replace 'ImageToTensor' to 'DefaultFormatBundle' + cfg.data.test.pipeline = replace_ImageToTensor( + cfg.data.test.pipeline) + elif isinstance(cfg.data.test, list): + for ds_cfg in cfg.data.test: + ds_cfg.test_mode = True + samples_per_gpu = max( + [ds_cfg.pop('samples_per_gpu', 1) for ds_cfg in cfg.data.test]) + if samples_per_gpu > 1: + for ds_cfg in cfg.data.test: + ds_cfg.pipeline = replace_ImageToTensor(ds_cfg.pipeline) + + # init distributed env first, since logger depends on the dist info. + if args.launcher == 'none': + distributed = False + else: + distributed = True + init_dist(args.launcher, **cfg.dist_params) + + # set random seeds + if args.seed is not None: + set_random_seed(args.seed, deterministic=args.deterministic) + + # build the dataloader + dataset = build_dataset(cfg.data.test) + data_loader = build_dataloader( + dataset, + samples_per_gpu=samples_per_gpu, + workers_per_gpu=cfg.data.workers_per_gpu, + dist=distributed, + shuffle=False, + nonshuffler_sampler=cfg.data.nonshuffler_sampler, + ) + + # build the model and load checkpoint + cfg.model.train_cfg = None + model = build_model(cfg.model, test_cfg=cfg.get('test_cfg')) + fp16_cfg = cfg.get('fp16', None) + if fp16_cfg is not None: + wrap_fp16_model(model) + checkpoint = load_checkpoint(model, args.checkpoint, map_location='cpu') + if args.fuse_conv_bn: + model = fuse_conv_bn(model) + # old versions did not save class info in checkpoints, this walkaround is + # for backward compatibility + if 'CLASSES' in checkpoint.get('meta', {}): + model.CLASSES = checkpoint['meta']['CLASSES'] + else: + model.CLASSES = dataset.CLASSES + # palette for visualization in segmentation tasks + if 'PALETTE' in checkpoint.get('meta', {}): + model.PALETTE = checkpoint['meta']['PALETTE'] + elif hasattr(dataset, 'PALETTE'): + # segmentation dataset has `PALETTE` attribute + model.PALETTE = dataset.PALETTE + + if not distributed: + #assert False + model = MMDataParallel(model, device_ids=[0]) + outputs = single_gpu_test(model, data_loader, args.show, args.show_dir) + else: + model = MMDistributedDataParallel( + model.cuda(), + device_ids=[torch.cuda.current_device()], + broadcast_buffers=False) + #outputs = custom_multi_gpu_test(model, data_loader, args.tmpdir, args.gpu_collect) + outputs = multi_gpu_test(model, data_loader, args.tmpdir, + args.gpu_collect) + rank, _ = get_dist_info() + if rank == 0: + if args.out: + print(f'\nwriting results to {args.out}') + assert False + #mmcv.dump(outputs['bbox_results'], args.out) + kwargs = {} if args.eval_options is None else args.eval_options + kwargs['jsonfile_prefix'] = osp.join('test', args.config.split( + '/')[-1].split('.')[-2], time.ctime().replace(' ', '_').replace(':', '_')) + if args.format_only: + dataset.format_results(outputs, **kwargs) + + if args.eval: + eval_kwargs = cfg.get('evaluation', {}).copy() + # hard-code way to remove EvalHook args + for key in [ + 'interval', 'tmpdir', 'start', 'gpu_collect', 'save_best', + 'rule' + ]: + eval_kwargs.pop(key, None) + eval_kwargs.update(dict(metric=args.eval, **kwargs)) + + print(dataset.evaluate(outputs, **eval_kwargs)) + + +if __name__ == '__main__': + main() diff --git a/tools/train.py b/tools/train.py new file mode 100755 index 0000000..eb8830c --- /dev/null +++ b/tools/train.py @@ -0,0 +1,262 @@ +# --------------------------------------------- +# Copyright (c) OpenMMLab. All rights reserved. +# --------------------------------------------- +# Modified by Zhiqi Li +# --------------------------------------------- + +from __future__ import division +import os +#os.environ['CUDA_VISIBLE_DEVICES'] = '2' +import sys +sys.path.insert(0, '/home/guozebin/work_code/BEVFormer') +import argparse +import copy +import mmcv +import os +import time +import torch +import warnings +from mmcv import Config, DictAction +from mmcv.runner import get_dist_info, init_dist +from os import path as osp + +from mmdet import __version__ as mmdet_version +from mmdet3d import __version__ as mmdet3d_version +#from mmdet3d.apis import train_model + +from mmdet3d.datasets import build_dataset +from mmdet3d.models import build_model +from mmdet3d.utils import collect_env, get_root_logger +from mmdet.apis import set_random_seed +from mmseg import __version__ as mmseg_version + +from mmcv.utils import TORCH_VERSION, digit_version + + +def parse_args(): + parser = argparse.ArgumentParser(description='Train a detector') + parser.add_argument('config', help='train config file path') + parser.add_argument('--work-dir', help='the dir to save logs and models') + parser.add_argument( + '--resume-from', help='the checkpoint file to resume from') + parser.add_argument( + '--no-validate', + action='store_true', + help='whether not to evaluate the checkpoint during training') + group_gpus = parser.add_mutually_exclusive_group() + group_gpus.add_argument( + '--gpus', + type=int, + help='number of gpus to use ' + '(only applicable to non-distributed training)') + group_gpus.add_argument( + '--gpu-ids', + type=int, + nargs='+', + help='ids of gpus to use ' + '(only applicable to non-distributed training)') + parser.add_argument('--seed', type=int, default=0, help='random seed') + parser.add_argument( + '--deterministic', + action='store_true', + help='whether to set deterministic options for CUDNN backend.') + parser.add_argument( + '--options', + nargs='+', + action=DictAction, + help='override some settings in the used config, the key-value pair ' + 'in xxx=yyy format will be merged into config file (deprecate), ' + 'change to --cfg-options instead.') + parser.add_argument( + '--cfg-options', + nargs='+', + action=DictAction, + help='override some settings in the used config, the key-value pair ' + 'in xxx=yyy format will be merged into config file. If the value to ' + 'be overwritten is a list, it should be like key="[a,b]" or key=a,b ' + 'It also allows nested list/tuple values, e.g. key="[(a,b),(c,d)]" ' + 'Note that the quotation marks are necessary and that no white space ' + 'is allowed.') + parser.add_argument( + '--launcher', + choices=['none', 'pytorch', 'slurm', 'mpi'], + default='none', + help='job launcher') + parser.add_argument('--local_rank', type=int, default=0) + parser.add_argument( + '--autoscale-lr', + action='store_true', + help='automatically scale lr with the number of gpus') + args = parser.parse_args() + if 'LOCAL_RANK' not in os.environ: + os.environ['LOCAL_RANK'] = str(args.local_rank) + + if args.options and args.cfg_options: + raise ValueError( + '--options and --cfg-options cannot be both specified, ' + '--options is deprecated in favor of --cfg-options') + if args.options: + warnings.warn('--options is deprecated in favor of --cfg-options') + args.cfg_options = args.options + + return args + + +def main(): + args = parse_args() + + cfg = Config.fromfile(args.config) + if args.cfg_options is not None: + cfg.merge_from_dict(args.cfg_options) + # import modules from string list. + if cfg.get('custom_imports', None): + from mmcv.utils import import_modules_from_strings + import_modules_from_strings(**cfg['custom_imports']) + + # import modules from plguin/xx, registry will be updated + if hasattr(cfg, 'plugin'): + if cfg.plugin: + import importlib + if hasattr(cfg, 'plugin_dir'): + plugin_dir = cfg.plugin_dir + _module_dir = os.path.dirname(plugin_dir) + _module_dir = _module_dir.split('/') + _module_path = _module_dir[0] + + for m in _module_dir[1:]: + _module_path = _module_path + '.' + m + print(_module_path) + plg_lib = importlib.import_module(_module_path) + else: + # import dir is the dirpath for the config file + _module_dir = os.path.dirname(args.config) + _module_dir = _module_dir.split('/') + _module_path = _module_dir[0] + for m in _module_dir[1:]: + _module_path = _module_path + '.' + m + print(_module_path) + plg_lib = importlib.import_module(_module_path) + + from projects.mmdet3d_plugin.bevformer.apis.train import custom_train_model + # set cudnn_benchmark + if cfg.get('cudnn_benchmark', False): + torch.backends.cudnn.benchmark = True + + # work_dir is determined in this priority: CLI > segment in file > filename + if args.work_dir is not None: + # update configs according to CLI args if args.work_dir is not None + cfg.work_dir = args.work_dir + elif cfg.get('work_dir', None) is None: + # use config filename as default work_dir if cfg.work_dir is None + cfg.work_dir = osp.join('./work_dirs', + osp.splitext(osp.basename(args.config))[0]) + # if args.resume_from is not None: + if args.resume_from is not None and osp.isfile(args.resume_from): + cfg.resume_from = args.resume_from + if args.gpu_ids is not None: + cfg.gpu_ids = args.gpu_ids + else: + cfg.gpu_ids = range(1) if args.gpus is None else range(args.gpus) + if digit_version(TORCH_VERSION) == digit_version('1.8.1') and cfg.optimizer['type'] == 'AdamW': + cfg.optimizer['type'] = 'AdamW2' # fix bug in Adamw + if args.autoscale_lr: + # apply the linear scaling rule (https://arxiv.org/abs/1706.02677) + cfg.optimizer['lr'] = cfg.optimizer['lr'] * len(cfg.gpu_ids) / 8 + + # init distributed env first, since logger depends on the dist info. + if args.launcher == 'none': + distributed = False + else: + distributed = True + init_dist(args.launcher, **cfg.dist_params) + # re-set gpu_ids with distributed training mode + _, world_size = get_dist_info() + cfg.gpu_ids = range(world_size) + + # create work_dir + mmcv.mkdir_or_exist(osp.abspath(cfg.work_dir)) + # dump config + cfg.dump(osp.join(cfg.work_dir, osp.basename(args.config))) + # init the logger before other steps + timestamp = time.strftime('%Y%m%d_%H%M%S', time.localtime()) + log_file = osp.join(cfg.work_dir, f'{timestamp}.log') + # specify logger name, if we still use 'mmdet', the output info will be + # filtered and won't be saved in the log_file + # TODO: ugly workaround to judge whether we are training det or seg model + if cfg.model.type in ['EncoderDecoder3D']: + logger_name = 'mmseg' + else: + logger_name = 'mmdet' + logger = get_root_logger( + log_file=log_file, log_level=cfg.log_level, name=logger_name) + + # init the meta dict to record some important information such as + # environment info and seed, which will be logged + meta = dict() + # log env info + env_info_dict = collect_env() + env_info = '\n'.join([(f'{k}: {v}') for k, v in env_info_dict.items()]) + dash_line = '-' * 60 + '\n' + logger.info('Environment info:\n' + dash_line + env_info + '\n' + + dash_line) + meta['env_info'] = env_info + meta['config'] = cfg.pretty_text + + # log some basic info + logger.info(f'Distributed training: {distributed}') + logger.info(f'Config:\n{cfg.pretty_text}') + + # set random seeds + if args.seed is not None: + logger.info(f'Set random seed to {args.seed}, ' + f'deterministic: {args.deterministic}') + set_random_seed(args.seed, deterministic=args.deterministic) + cfg.seed = args.seed + meta['seed'] = args.seed + meta['exp_name'] = osp.basename(args.config) + + model = build_model( + cfg.model, + train_cfg=cfg.get('train_cfg'), + test_cfg=cfg.get('test_cfg')) + model.init_weights() + + logger.info(f'Model:\n{model}') + datasets = [build_dataset(cfg.data.train)] + if len(cfg.workflow) == 2: + val_dataset = copy.deepcopy(cfg.data.val) + # in case we use a dataset wrapper + if 'dataset' in cfg.data.train: + val_dataset.pipeline = cfg.data.train.dataset.pipeline + else: + val_dataset.pipeline = cfg.data.train.pipeline + # set test_mode=False here in deep copied config + # which do not affect AP/AR calculation later + # refer to https://mmdetection3d.readthedocs.io/en/latest/tutorials/customize_runtime.html#customize-workflow # noqa + val_dataset.test_mode = False + datasets.append(build_dataset(val_dataset)) + if cfg.checkpoint_config is not None: + # save mmdet version, config file content and class names in + # checkpoints as meta data + cfg.checkpoint_config.meta = dict( + mmdet_version=mmdet_version, + mmseg_version=mmseg_version, + mmdet3d_version=mmdet3d_version, + config=cfg.pretty_text, + CLASSES=datasets[0].CLASSES, + PALETTE=datasets[0].PALETTE # for segmentors + if hasattr(datasets[0], 'PALETTE') else None) + # add an attribute for visualization convenience + model.CLASSES = datasets[0].CLASSES + custom_train_model( + model, + datasets, + cfg, + distributed=distributed, + validate=(not args.no_validate), + timestamp=timestamp, + meta=meta) + + +if __name__ == '__main__': + main() diff --git a/utils/compose_map_det_res.py b/utils/compose_map_det_res.py new file mode 100644 index 0000000..3ac38ff --- /dev/null +++ b/utils/compose_map_det_res.py @@ -0,0 +1,27 @@ +import os +import cv2 +import numpy as np + +path = '/root/work_code/BEVFormer/visual_res_base/' + +visual_list = list(filter(lambda x: "camera" in x, os.listdir(path))) + +for img in visual_list: + det_img = path + img + seg_img = path + img.split('_')[0] + '.png' + + det_img = cv2.imread(det_img) + seg_img = cv2.imread(seg_img) + seg_img = np.rot90(seg_img, 1, [0, 1]) + + scale = det_img.shape[0] / seg_img.shape[0] + width, height = int(scale * seg_img.shape[1]), det_img.shape[0] + + seg_img = cv2.resize(seg_img, (width, height), interpolation=cv2.INTER_LINEAR) + + # 拼接 + cancat_img = np.hstack((det_img, seg_img)) + cancat_img = cv2.resize(cancat_img, (cancat_img.shape[1]//2, cancat_img.shape[0]//2), interpolation=cv2.INTER_LINEAR) + + cv2.imwrite(f"visual/{img.split('_')[0]}.png", cancat_img) + diff --git a/utils/compose_small_base_vidio.py b/utils/compose_small_base_vidio.py new file mode 100644 index 0000000..1f9e2ed --- /dev/null +++ b/utils/compose_small_base_vidio.py @@ -0,0 +1,47 @@ +import os + +import cv2 +import mmcv +import numpy as np + +from nuscenes.nuscenes import NuScenes + +PATH_base = '/home/guozebin/work_code/BEVFormer/visual_res_base/' +PATH_small = '/home/guozebin/work_code/BEVFormer/visual_res_small/' +video_path = 'small_base_compare_demo.mp4' + +if __name__ == '__main__': + count = 0 + nusc = NuScenes(version='v1.0-trainval', dataroot='/home/guozebin/work_code/BEVFormer/data/nuscenes', verbose=True) + bevformer_results = mmcv.load('/home/guozebin/work_code/BEVFormer/val/work_dirs/' + 'bevformer_small_seg_det_300x300/Tue_Jan_31_16_25_12_2023/pts_bbox/results_nusc.json') + sample_token_list = list(bevformer_results['results'].keys())[1000:2000] + for id in range(0, 1000): + + if sample_token_list[id] + '.jpg' not in os.listdir(PATH_base): + continue + + print(f"handle {PATH_base + sample_token_list[id] +'.jpg'}") + print(f"handle {PATH_small + sample_token_list[id] +'.jpg'}") + count += 1 + im_base = os.path.join(PATH_base, sample_token_list[id] + '.jpg') + im_small = os.path.join(PATH_small, sample_token_list[id] + '.jpg') + + im_base = cv2.imread(im_base) + # 添加指标值 + im_base = cv2.putText(im_base, "mAP: 41.9, NDS: 51.3, mIoU: 44.1", (10, 30), cv2.FONT_HERSHEY_SIMPLEX, 1.0, (0, 0, 0), 2) + + im_small = cv2.imread(im_small) + # 添加指标值 + im_small = cv2.putText(im_small, "mAP: 38.2, NDS: 48.7, mIoU: 40.4", (10, 30), cv2.FONT_HERSHEY_SIMPLEX, 1.0, (0, 0, 0), 2) + + # 添加一个黑色隔离带用于区分两个结果 + split = np.zeros([20, im_base.shape[1], 3]) + # 拼接 + im = np.vstack((im_small, split, im_base)) + if count == 1: + fps, w, h = 5, im.shape[1], im.shape[0] + out = cv2.VideoWriter(video_path, cv2.VideoWriter_fourcc(*'mp4v'), fps, (w, h)) + out.write(im.astype(np.uint8)) + + print('Done!') diff --git a/utils/compose_vidio.py b/utils/compose_vidio.py new file mode 100644 index 0000000..dd8b7e7 --- /dev/null +++ b/utils/compose_vidio.py @@ -0,0 +1,31 @@ +import os + +import cv2 +import mmcv + +from nuscenes.nuscenes import NuScenes + +PATH = '/home/guozebin/work_code/BEVFormer/visual_res_base' +video_path = 'seg_det_demo_best_v1.mp4' + +if __name__ == '__main__': + count = 0 + nusc = NuScenes(version='v1.0-trainval', dataroot='/home/guozebin/work_code/BEVFormer/data/nuscenes', verbose=True) + bevformer_results = mmcv.load( + '/home/guozebin/work_code/BEVFormer/val/work_dirs/bevformer_small_seg_det_300x300/Tue_Jan_31_16_25_12_2023/pts_bbox/results_nusc.json') + sample_token_list = list(bevformer_results['results'].keys())[1000:2000] + for id in range(0, 1000): + + if sample_token_list[id] + '.jpg' not in os.listdir(PATH): + continue + + print(f"handle {PATH + sample_token_list[id] +'.jpg'}") + count += 1 + im = os.path.join(PATH, sample_token_list[id] + '.jpg') + im = cv2.imread(im) + + if count == 1: + fps, w, h = 5, im.shape[1], im.shape[0] + out = cv2.VideoWriter(video_path, cv2.VideoWriter_fourcc(*'mp4v'), fps, (w, h)) + out.write(im) + print('Done!') \ No newline at end of file diff --git a/utils/padding_seg_to_det.py b/utils/padding_seg_to_det.py new file mode 100644 index 0000000..b8049f9 --- /dev/null +++ b/utils/padding_seg_to_det.py @@ -0,0 +1,37 @@ +import cv2 +import numpy as np + +path = '/root/work_code/BEVFormer/visual_rot/000681a060c04755a1537cf83b53ba57.png' + +det_grid_conf = { + 'xbound': [-51.2, 51.2, 0.68], + 'ybound': [-51.2, 51.2, 0.68], +} + +map_grid_conf = { + 'xbound': [-30.0, 30.0, 0.15], + 'ybound': [-15.0, 15.0, 0.15], +} + +def padding_seg_to_det(path): + + seg = cv2.imread(path) + h, w, _ = seg.shape + + det_w = int((det_grid_conf['xbound'][1] - det_grid_conf['xbound'][0])/(map_grid_conf['xbound'][1] - map_grid_conf['xbound'][0]) * w) + det_h = det_w + + new_img = np.zeros((det_h, det_w, 3)) + new_img = np.where(new_img == 0, 255, 0) + new_img[det_h // 2 - h // 2: det_h // 2 + h//2, det_w // 2 - w // 2: det_w // 2 + w//2, :] = seg + + new_img = np.rot90(new_img, 1, [0, 1]) + + + return new_img + + +if __name__ == '__main__': + + img = padding_seg_to_det(path=path) + cv2.imwrite("a.jpg", img) \ No newline at end of file diff --git a/utils/test_grid_sample.py b/utils/test_grid_sample.py new file mode 100644 index 0000000..8e6bf8c --- /dev/null +++ b/utils/test_grid_sample.py @@ -0,0 +1,16 @@ +import torch +import cv2 +import numpy as np + +PATH = '/home/guozebin/work_code/BEVFormer/visual/gt000050_000.jpg' + +# +img = cv2.imread(PATH) +img1 = torch.from_numpy(img) +# test rot +img = torch.rot90(img1, k=-1, dims=[0,1]) +cv2.imwrite('rot90.jpg', img.numpy()) + +img = torch.flip(img, dims=[1]) + +cv2.imwrite('flip.jpg', img.numpy())

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