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| # lightning.pytorch==2.1.1 | ||
| seed_everything: 0 | ||
| trainer: | ||
| num_sanity_val_steps: 0 | ||
| accelerator: auto | ||
| strategy: auto | ||
| devices: auto | ||
| num_nodes: 1 | ||
| # precision: bf16 | ||
| logger: | ||
| class_path: TensorBoardLogger | ||
| init_args: | ||
| save_dir: /dccstor/geofm-finetuning/carlosgomes/torchgeo_floods | ||
| name: dofa | ||
| callbacks: | ||
| - class_path: RichProgressBar | ||
| - class_path: LearningRateMonitor | ||
| init_args: | ||
| logging_interval: epoch | ||
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| max_epochs: 50 | ||
| check_val_every_n_epoch: 1 | ||
| log_every_n_steps: 50 | ||
| enable_checkpointing: true | ||
| default_root_dir: /dccstor/geofm-finetuning/carlosgomes/torchgeo_floods | ||
| data: | ||
| class_path: GenericNonGeoSegmentationDataModule | ||
| init_args: | ||
| batch_size: 16 | ||
| num_workers: 8 | ||
| constant_scale: 0.0001 | ||
| dataset_bands: | ||
| - COASTAL_AEROSOL | ||
| - BLUE | ||
| - GREEN | ||
| - RED | ||
| - RED_EDGE_1 | ||
| - RED_EDGE_2 | ||
| - RED_EDGE_3 | ||
| - NIR_BROAD | ||
| - NIR_NARROW | ||
| - WATER_VAPOR | ||
| - CIRRUS | ||
| - SWIR_1 | ||
| - SWIR_2 | ||
| output_bands: | ||
| - BLUE | ||
| - GREEN | ||
| - RED | ||
| - NIR_NARROW | ||
| - SWIR_1 | ||
| - SWIR_2 | ||
| rgb_indices: | ||
| - 2 | ||
| - 1 | ||
| - 0 | ||
| train_data_root: /dccstor/geofm-finetuning/flood_mapping/sen1floods11/data/data/flood_events/HandLabeled/S2Hand/ | ||
| train_label_data_root: /dccstor/geofm-finetuning/flood_mapping/sen1floods11/data/data/flood_events/HandLabeled/LabelHand | ||
| val_data_root: /dccstor/geofm-finetuning/flood_mapping/sen1floods11/data/data/flood_events/HandLabeled/S2Hand/ | ||
| val_label_data_root: /dccstor/geofm-finetuning/flood_mapping/sen1floods11/data/data/flood_events/HandLabeled/LabelHand | ||
| test_data_root: /dccstor/geofm-finetuning/flood_mapping/sen1floods11/data/data/flood_events/HandLabeled/S2Hand/ | ||
| test_label_data_root: /dccstor/geofm-finetuning/flood_mapping/sen1floods11/data/data/flood_events/HandLabeled/LabelHand | ||
| # these must be obtained by running terratorch/examples/scripts/convert_sen1floods11_splits.py on the original split csv files | ||
| train_split: /dccstor/geofm-finetuning/flood_mapping/sen1floods11/splits/splits/flood_handlabeled/flood_train_data_S2.txt | ||
| test_split: /dccstor/geofm-finetuning/flood_mapping/sen1floods11/splits/splits/flood_handlabeled/flood_test_data_S2.txt | ||
| val_split: /dccstor/geofm-finetuning/flood_mapping/sen1floods11/splits/splits/flood_handlabeled/flood_valid_data_S2.txt | ||
| img_grep: "*_S2Hand.tif" | ||
| label_grep: "*_LabelHand.tif" | ||
| no_label_replace: -1 | ||
| no_data_replace: 0 | ||
| means: | ||
| - 0.1412956 | ||
| - 0.13795798 | ||
| - 0.12353792 | ||
| - 0.30902815 | ||
| - 0.2044958 | ||
| - 0.11912015 | ||
| stds: | ||
| - 0.07406382 | ||
| - 0.07370365 | ||
| - 0.08692279 | ||
| - 0.11798815 | ||
| - 0.09772074 | ||
| - 0.07659938 | ||
| num_classes: 2 | ||
| # train_transform: | ||
| # - class_path: albumentations.RandomCrop | ||
| # init_args: | ||
| # height: 224 | ||
| # width: 224 | ||
| # - class_path: albumentations.HorizontalFlip | ||
| # init_args: | ||
| # p: 0.5 | ||
| # - class_path: ToTensorV2 | ||
| # val_transform: | ||
| # - class_path: albumentations.RandomCrop | ||
| # init_args: | ||
| # height: 224 | ||
| # width: 224 | ||
| # - class_path: ToTensorV2 | ||
| # test_transform: | ||
| # - class_path: albumentations.CenterCrop | ||
| # init_args: | ||
| # height: 224 | ||
| # width: 224 | ||
| # - class_path: ToTensorV2 | ||
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| # class_path: terratorch.datamodules.sen1floods11.Sen1Floods11NonGeoDataModule | ||
| # init_args: | ||
| # batch_size: 8 | ||
| # num_workers: 8 | ||
| # train_aug: | ||
| # - class_path: albumentations.RandomCrop | ||
| # init_args: | ||
| # height: 224 | ||
| # width: 224 | ||
| # - class_path: albumentations.HorizontalFlip | ||
| # init_args: | ||
| # p: 0.5 | ||
| # - class_path: ToTensorV2 | ||
| # val_aug: | ||
| # - class_path: albumentations.RandomCrop | ||
| # init_args: | ||
| # height: 224 | ||
| # width: 224 | ||
| # - class_path: ToTensorV2 | ||
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| # dict_kwargs: | ||
| # data_root: /dccstor/geofm-finetuning/flood_mapping/sen1floods11/ | ||
| # bands: | ||
| # - 1 | ||
| # - 2 | ||
| # - 3 | ||
| # - 8 | ||
| # - 11 | ||
| # - 12 | ||
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| model: | ||
| class_path: terratorch.tasks.SemanticSegmentationTask | ||
| init_args: | ||
| model_args: | ||
| decoder: FCNDecoder | ||
| backbone_pretrained: True | ||
| backbone_img_size: 512 | ||
| backbone: dofa_large_patch16_224 | ||
| # backbone_pretrain_img_size: 512 | ||
| # decoder_scale_modules: True | ||
| # decoder_in_channels: 1024 | ||
| decoder_channels: 256 | ||
| # backbone_in_channels: 6 | ||
| backbone_model_bands: | ||
| - BLUE | ||
| - GREEN | ||
| - RED | ||
| - NIR_NARROW | ||
| - SWIR_1 | ||
| - SWIR_2 | ||
| # num_frames: 1 | ||
| num_classes: 2 | ||
| head_dropout: 0.1 | ||
| head_channel_list: | ||
| - 256 | ||
| necks: | ||
| - name: SelectIndices | ||
| indices: | ||
| - -1 | ||
| - name: ReshapeTokensToImage | ||
| loss: ce | ||
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| ignore_index: -1 | ||
| class_weights: | ||
| - 0.3 | ||
| - 0.7 | ||
| freeze_backbone: false | ||
| freeze_decoder: false | ||
| model_factory: EncoderDecoderFactory | ||
| tiled_inference_parameters: | ||
| h_crop: 224 | ||
| h_stride: 196 | ||
| w_crop: 224 | ||
| w_stride: 196 | ||
| average_patches: true | ||
| optimizer: | ||
| class_path: torch.optim.AdamW | ||
| init_args: | ||
| lr: 6.e-5 | ||
| weight_decay: 0.05 | ||
| lr_scheduler: | ||
| class_path: ReduceLROnPlateau | ||
| init_args: | ||
| monitor: val/loss |
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