[Fix] fix metafiles (open-mmlab#1608)

* fix metafile * fix centerpoint
hjin2902 · Jul 13, 2022 · a121b00 · a121b00
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Showing 6 changed files with 21 additions and 19 deletions.
diff --git a/configs/centerpoint/metafile.yml b/configs/centerpoint/metafile.yml
@@ -27,7 +27,7 @@ Models:
         Metrics:
           mAP: 56.19
           NDS: 64.43
-    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/centerpoint/centerpoint_01voxel_second_secfpn_circlenms_4x8_cyclic_20e_nus/centerpoint_01voxel_second_secfpn_circlenms_4x8_cyclic_20e_nus_20201001_135205-5db91e00.pth
+    Weights: https://download.openmmlab.com/mmdetection3d/v1.0.0_models/centerpoint/centerpoint_01voxel_second_secfpn_circlenms_4x8_cyclic_20e_nus/centerpoint_01voxel_second_secfpn_circlenms_4x8_cyclic_20e_nus_20210815_085857-9ba7f3a5.pth
 
   - Name: centerpoint_01voxel_second_secfpn_dcn_circlenms_4x8_cyclic_20e_nus
     In Collection: CenterPoint
@@ -79,7 +79,7 @@ Models:
         Metrics:
           mAP: 49.07
           NDS: 59.66
-    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/centerpoint/centerpoint_01voxel_second_secfpn_circlenms_4x8_cyclic_20e_nus/centerpoint_02pillar_second_secfpn_circlenms_4x8_cyclic_20e_nus_20201004_170716-a134a233.pth
+    Weights: https://download.openmmlab.com/mmdetection3d/v1.0.0_models/centerpoint/centerpoint_02pillar_second_secfpn_circlenms_4x8_cyclic_20e_nus/centerpoint_02pillar_second_secfpn_circlenms_4x8_cyclic_20e_nus_20210816_064624-0f3299c0.pth
 
   - Name: centerpoint_02pillar_second_secfpn_dcn_4x8_cyclic_20e_nus
     In Collection: CenterPoint

diff --git a/configs/h3dnet/metafile.yml b/configs/h3dnet/metafile.yml
@@ -26,4 +26,4 @@ Models:
         Metrics:
           [email protected]: 66.07
           [email protected]: 47.68
-    Weights: https://download.openmmlab.com/mmdetection3d/v1.0.0_models/h3dnet/h3dnet_scannet-3d-18class/h3dnet_3x8_scannet-3d-18class_20210824_003149-414bd304.pth
+    Weights: https://download.openmmlab.com/mmdetection3d/v1.0.0_models/h3dnet/h3dnet_3x8_scannet-3d-18class/h3dnet_3x8_scannet-3d-18class_20210824_003149-414bd304.pth
diff --git a/configs/imvoxelnet/metafile.yml b/configs/imvoxelnet/metafile.yml
@@ -16,9 +16,9 @@ Collections:
       Version: v0.15.0
 
 Models:
-  - Name: imvoxelnet_kitti-3d-car
+  - Name: imvoxelnet_4x8_kitti-3d-car
     In Collection: ImVoxelNet
-    Config: configs/imvoxelnet/imvoxelnet_kitti-3d-car.py
+    Config: configs/imvoxelnet/imvoxelnet_4x8_kitti-3d-car.py
     Metadata:
       Training Memory (GB): 15.0
     Results:

diff --git a/configs/nuimages/metafile.yml b/configs/nuimages/metafile.yml
@@ -119,7 +119,7 @@ Models:
     Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/mask_rcnn_x101_32x4d_fpn_1x_nuim/mask_rcnn_x101_32x4d_fpn_1x_nuim_20201024_135741-b699ab37.pth
 
   - Name: cascade_mask_rcnn_r50_fpn_1x_nuim
-    In Collection: Mask R-CNN
+    In Collection: Cascade R-CNN
     Config: configs/nuimages/cascade_mask_rcnn_r50_fpn_1x_nuim.py
     Metadata:
       Training Memory (GB): 8.9
@@ -136,7 +136,7 @@ Models:
     Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/cascade_mask_rcnn_r50_fpn_1x_nuim/cascade_mask_rcnn_r50_fpn_1x_nuim_20201008_195342-1147c036.pth
 
   - Name: cascade_mask_rcnn_r50_fpn_coco-20e_1x_nuim
-    In Collection: Mask R-CNN
+    In Collection: Cascade R-CNN
     Config: configs/nuimages/cascade_mask_rcnn_r50_fpn_coco-20e_1x_nuim.py
     Metadata:
       Training Memory (GB): 8.9
@@ -153,7 +153,7 @@ Models:
     Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/cascade_mask_rcnn_r50_fpn_coco-20e_1x_nuim/cascade_mask_rcnn_r50_fpn_coco-20e_1x_nuim_20201009_124158-ad0540e3.pth
 
   - Name: cascade_mask_rcnn_r50_fpn_coco-20e_20e_nuim
-    In Collection: Mask R-CNN
+    In Collection: Cascade R-CNN
     Config: configs/nuimages/cascade_mask_rcnn_r50_fpn_coco-20e_20e_nuim.py
     Metadata:
       Training Memory (GB): 8.9
@@ -170,7 +170,7 @@ Models:
     Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/cascade_mask_rcnn_r50_fpn_coco-20e_20e_nuim/cascade_mask_rcnn_r50_fpn_coco-20e_20e_nuim_20201009_124951-40963960.pth
 
   - Name: cascade_mask_rcnn_r101_fpn_1x_nuim
-    In Collection: Mask R-CNN
+    In Collection: Cascade R-CNN
     Config: configs/nuimages/cascade_mask_rcnn_r101_fpn_1x_nuim.py
     Metadata:
       Training Memory (GB): 12.5
@@ -187,7 +187,7 @@ Models:
     Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/cascade_mask_rcnn_r101_fpn_1x_nuim/cascade_mask_rcnn_r101_fpn_1x_nuim_20201024_134804-45215b1e.pth
 
   - Name: cascade_mask_rcnn_x101_32x4d_fpn_1x_nuim
-    In Collection: Mask R-CNN
+    In Collection: Cascade R-CNN
     Config: configs/nuimages/cascade_mask_rcnn_x101_32x4d_fpn_1x_nuim.py
     Metadata:
       Training Memory (GB): 14.9
@@ -204,7 +204,7 @@ Models:
     Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/cascade_mask_rcnn_x101_32x4d_fpn_1x_nuim/cascade_mask_rcnn_x101_32x4d_fpn_1x_nuim_20201024_135753-e0e49778.pth
 
   - Name: htc_r50_fpn_coco-20e_1x_nuim
-    In Collection: Mask R-CNN
+    In Collection: HTC
     Config: configs/nuimages/htc_r50_fpn_coco-20e_1x_nuim.py
     Metadata:
       Training Memory (GB): 11.6
@@ -221,7 +221,7 @@ Models:
     Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/htc_r50_fpn_coco-20e_1x_nuim/htc_r50_fpn_coco-20e_1x_nuim_20201010_070203-0b53a65e.pth
 
   - Name: htc_r50_fpn_coco-20e_20e_nuim
-    In Collection: Mask R-CNN
+    In Collection: HTC
     Config: configs/nuimages/htc_r50_fpn_coco-20e_20e_nuim.py
     Metadata:
       Training Memory (GB): 11.6
@@ -238,7 +238,7 @@ Models:
     Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/htc_r50_fpn_coco-20e_20e_nuim/htc_r50_fpn_coco-20e_20e_nuim_20201008_211415-d6c60a2c.pth
 
   - Name: htc_x101_64x4d_fpn_dconv_c3-c5_coco-20e_16x1_20e_nuim
-    In Collection: Mask R-CNN
+    In Collection: HTC
     Config: configs/nuimages/htc_x101_64x4d_fpn_dconv_c3-c5_coco-20e_16x1_20e_nuim.py
     Metadata:
       Training Memory (GB): 13.3

diff --git a/configs/pointnet2/metafile.yml b/configs/pointnet2/metafile.yml
@@ -15,7 +15,7 @@ Collections:
       Version: v0.14.0
 
 Models:
-  - Name: pointnet2_ssg_xyz-only_16x2_cosine_200e_scannet_seg-3d-20class.py
+  - Name: pointnet2_ssg_xyz-only_16x2_cosine_200e_scannet_seg-3d-20class
     In Collection: PointNet++
     Config: configs/pointnet/pointnet2_ssg_xyz-only_16x2_cosine_200e_scannet_seg-3d-20class.py
     Metadata:
@@ -28,7 +28,7 @@ Models:
           mIoU: 53.91
     Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/pointnet2/pointnet2_ssg_xyz-only_16x2_cosine_200e_scannet_seg-3d-20class/pointnet2_ssg_xyz-only_16x2_cosine_200e_scannet_seg-3d-20class_20210514_143628-4e341a48.pth
 
-  - Name: pointnet2_ssg_16x2_cosine_200e_scannet_seg-3d-20class.py
+  - Name: pointnet2_ssg_16x2_cosine_200e_scannet_seg-3d-20class
     In Collection: PointNet++
     Config: configs/pointnet/pointnet2_ssg_16x2_cosine_200e_scannet_seg-3d-20class.py
     Metadata:
@@ -41,7 +41,7 @@ Models:
           mIoU: 54.44
     Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/pointnet2/pointnet2_ssg_16x2_cosine_200e_scannet_seg-3d-20class/pointnet2_ssg_16x2_cosine_200e_scannet_seg-3d-20class_20210514_143644-ee73704a.pth
 
-  - Name: pointnet2_msg_xyz-only_16x2_cosine_250e_scannet_seg-3d-20class.py
+  - Name: pointnet2_msg_xyz-only_16x2_cosine_250e_scannet_seg-3d-20class
     In Collection: PointNet++
     Config: configs/pointnet/pointnet2_msg_xyz-only_16x2_cosine_250e_scannet_seg-3d-20class.py
     Metadata:
@@ -54,7 +54,7 @@ Models:
           mIoU: 54.26
     Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/pointnet2/pointnet2_msg_xyz-only_16x2_cosine_250e_scannet_seg-3d-20class/pointnet2_msg_xyz-only_16x2_cosine_250e_scannet_seg-3d-20class_20210514_143838-b4a3cf89.pth
 
-  - Name: pointnet2_msg_16x2_cosine_250e_scannet_seg-3d-20class.py
+  - Name: pointnet2_msg_16x2_cosine_250e_scannet_seg-3d-20class
     In Collection: PointNet++
     Config: configs/pointnet/pointnet2_msg_16x2_cosine_250e_scannet_seg-3d-20class.py
     Metadata:
@@ -67,7 +67,7 @@ Models:
           mIoU: 55.05
     Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/pointnet2/pointnet2_msg_16x2_cosine_250e_scannet_seg-3d-20class/pointnet2_msg_16x2_cosine_250e_scannet_seg-3d-20class_20210514_144009-24477ab1.pth
 
-  - Name: pointnet2_ssg_16x2_cosine_50e_s3dis_seg-3d-13class.py
+  - Name: pointnet2_ssg_16x2_cosine_50e_s3dis_seg-3d-13class
     In Collection: PointNet++
     Config: configs/pointnet/pointnet2_ssg_16x2_cosine_50e_s3dis_seg-3d-13class.py
     Metadata:
@@ -80,7 +80,7 @@ Models:
           mIoU: 56.93
     Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/pointnet2/pointnet2_ssg_16x2_cosine_50e_s3dis_seg-3d-13class/pointnet2_ssg_16x2_cosine_50e_s3dis_seg-3d-13class_20210514_144205-995d0119.pth
 
-  - Name: pointnet2_msg_16x2_cosine_80e_s3dis_seg-3d-13class.py
+  - Name: pointnet2_msg_16x2_cosine_80e_s3dis_seg-3d-13class
     In Collection: PointNet++
     Config: configs/pointnet/pointnet2_msg_16x2_cosine_80e_s3dis_seg-3d-13class.py
     Metadata:

diff --git a/configs/pointpillars/metafile.yml b/configs/pointpillars/metafile.yml
@@ -151,6 +151,7 @@ Models:
           mAPH@L1: 71.5
           mAP@L2: 63.6
           mAPH@L2: 63.1
+    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/pointpillars/hv_pointpillars_secfpn_sbn_2x16_2x_waymoD5-3d-car/hv_pointpillars_secfpn_sbn_2x16_2x_waymoD5-3d-car_20200901_204315-302fc3e7.pth
 
   - Name: hv_pointpillars_secfpn_sbn_2x16_2x_waymo-3d-3class
     In Collection: PointPillars
@@ -167,6 +168,7 @@ Models:
           mAPH@L1: 63.3
           mAP@L2: 62.6
           mAPH@L2: 57.6
+    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/pointpillars/hv_pointpillars_secfpn_sbn_2x16_2x_waymoD5-3d-3class/hv_pointpillars_secfpn_sbn_2x16_2x_waymoD5-3d-3class_20200831_204144-d1a706b1.pth
 
   - Name: hv_pointpillars_secfpn_sbn-all_fp16_2x8_2x_nus-3d
     In Collection: PointPillars