[Fix] Fix metafile and release new models (#8294)

* update reppoints readme and metafile

* update openimages metafile

* update faster rcnn readme and metafile

* update convnext readme and metafile

* update guided_anchoring metafile

* update groie metafile and readme

* update reppoints readme and metafile

* update metafile

* update metafile

* release ld and mask_rcnn models

* update metafile

* update regnet metafile

* fix markdown format

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* update md format

* release lad

Author: chhluo

configs/convnext/metafile.yml

@@ -1,7 +1,7 @@
 Models:
   - Name: mask_rcnn_convnext-t_p4_w7_fpn_fp16_ms-crop_3x_coco
     In Collection: Mask R-CNN
-    Config: configs/convnext/mask_rcnn_convnext-t_p4_w7_fpn_fp16_ms-crop_3x_coco
+    Config: configs/convnext/mask_rcnn_convnext-t_p4_w7_fpn_fp16_ms-crop_3x_coco.py
     Metadata:
       Training Memory (GB): 7.3
       Epochs: 36

configs/faster_rcnn/README.md

@@ -34,12 +34,12 @@ State-of-the-art object detection networks depend on region proposal algorithms
 
 We trained with R-50-FPN pytorch style backbone for 1x schedule.
 
-| Backbone |   Loss type    | Mem (GB) | Inf time (fps) | box AP |                                                       Config                                                       |                                                                                                                                                         Download                                                                                                                                                         |
-| :------: | :------------: | :------: | :------------: | :----: | :----------------------------------------------------------------------------------------------------------------: | :----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
-| R-50-FPN |     L1Loss     |   4.0    |      21.4      |  37.4  | [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py) |        [model](https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_1x_coco/faster_rcnn_r50_fpn_1x_coco_20200130-047c8118.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_1x_coco/faster_rcnn_r50_fpn_1x_coco_20200130_204655.log.json)         |
-| R-50-FPN |    IoULoss     |          |                |  37.9  | [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py) |         [model](https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_1x_coco/faster_rcnn_r50_fpn_iou_1x_coco-fdd207f3.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_1x_coco/faster_rcnn_r50_fpn_iou_1x_coco_20200506_095954.log.json)         |
-| R-50-FPN |    GIoULoss    |          |                |  37.6  | [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py) |        [model](https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_1x_coco/faster_rcnn_r50_fpn_giou_1x_coco-0eada910.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_1x_coco/faster_rcnn_r50_fpn_giou_1x_coco_20200505_161120.log.json)        |
-| R-50-FPN | BoundedIoULoss |          |                |  37.4  | [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py) | [model](https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_1x_coco/faster_rcnn_r50_fpn_bounded_iou_1x_coco-98ad993b.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_1x_coco/faster_rcnn_r50_fpn_bounded_iou_1x_coco_20200505_160738.log.json) |
+| Backbone |   Loss type    | Mem (GB) | Inf time (fps) | box AP |                                                         Config                                                         |                                                                                                                                                             Download                                                                                                                                                             |
+| :------: | :------------: | :------: | :------------: | :----: | :--------------------------------------------------------------------------------------------------------------------: | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
+| R-50-FPN |     L1Loss     |   4.0    |      21.4      |  37.4  |   [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py)   |            [model](https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_1x_coco/faster_rcnn_r50_fpn_1x_coco_20200130-047c8118.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_1x_coco/faster_rcnn_r50_fpn_1x_coco_20200130_204655.log.json)             |
+| R-50-FPN |    IoULoss     |          |                |  37.9  | [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/faster_rcnn/faster_rcnn_r50_fpn_iou_1x_coco.py) | [model](https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_iou_1x_coco/faster_rcnn_r50_fpn_iou_1x_coco_20200506_095954-938e81f0.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_iou_1x_coco/faster_rcnn_r50_fpn_iou_1x_coco_20200506_095954.log.json) |
+| R-50-FPN |    GIoULoss    |          |                |  37.6  |   [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py)   |            [model](https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_1x_coco/faster_rcnn_r50_fpn_giou_1x_coco-0eada910.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_1x_coco/faster_rcnn_r50_fpn_giou_1x_coco_20200505_161120.log.json)            |
+| R-50-FPN | BoundedIoULoss |          |                |  37.4  |   [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py)   |     [model](https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_1x_coco/faster_rcnn_r50_fpn_bounded_iou_1x_coco-98ad993b.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_1x_coco/faster_rcnn_r50_fpn_bounded_iou_1x_coco_20200505_160738.log.json)     |
 
 ## Pre-trained Models
 

configs/faster_rcnn/metafile.yml

@@ -276,7 +276,8 @@ Models:
         Dataset: COCO
         Metrics:
           box AP: 37.9
-    Weights: https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_1x_coco/faster_rcnn_r50_fpn_iou_1x_coco-fdd207f3.pth
+    # re-release
+    Weights: https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_iou_1x_coco/faster_rcnn_r50_fpn_iou_1x_coco_20200506_095954-938e81f0.pth
 
   - Name: faster_rcnn_r50_fpn_giou_1x_coco
     In Collection: Faster R-CNN
@@ -448,4 +449,4 @@ Models:
         Dataset: COCO
         Metrics:
           box AP: 40.2
-          Weights: https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_tnr-pretrain_1x_coco/faster_rcnn_r50_fpn_tnr-pretrain_1x_coco_20220320_085147-efedfda4.pth
+    Weights: https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_tnr-pretrain_1x_coco/faster_rcnn_r50_fpn_tnr-pretrain_1x_coco_20220320_085147-efedfda4.pth

configs/groie/README.md

@@ -42,7 +42,7 @@ The results on COCO 2017 minival (5k images) are shown in the below table.
 | :-------: | :-------------: | :-----: | :----: | :-----: | :---------------------------------------------------------------------------: | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
 | R-50-FPN  | Faster Original |   1x    |  37.4  |         |            [config](../faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py)            |                                                                  [model](https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_1x_coco/faster_rcnn_r50_fpn_1x_coco_20200130-047c8118.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_1x_coco/faster_rcnn_r50_fpn_1x_coco_20200130_204655.log.json)                                                                   |
 | R-50-FPN  |     + GRoIE     |   1x    |  38.3  |         |               [config](./faster_rcnn_r50_fpn_groie_1x_coco.py)                |                                                         [model](https://download.openmmlab.com/mmdetection/v2.0/groie/faster_rcnn_r50_fpn_groie_1x_coco/faster_rcnn_r50_fpn_groie_1x_coco_20200604_211715-66ee9516.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/groie/faster_rcnn_r50_fpn_groie_1x_coco/faster_rcnn_r50_fpn_groie_1x_coco_20200604_211715.log.json)                                                         |
-| R-50-FPN  |   Grid R-CNN    |   1x    |  39.1  |         |               [config](./grid_rcnn_r50_fpn_gn-head_1x_coco.py)                |                                                         [model](https://download.openmmlab.com/mmdetection/v2.0/groie/grid_rcnn_r50_fpn_gn-head_1x_coco/grid_rcnn_r50_fpn_gn-head_1x_coco_20200605_202059-64f00ee8.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/groie/grid_rcnn_r50_fpn_gn-head_1x_coco/grid_rcnn_r50_fpn_gn-head_1x_coco_20200605_202059.log.json)                                                         |
+| R-50-FPN  |   Grid R-CNN    |   1x    |  39.1  |         |               [config](./grid_rcnn_r50_fpn_gn-head_1x_coco.py)                |                                             [model](https://download.openmmlab.com/mmdetection/v2.0/groie/grid_rcnn_r50_fpn_gn-head_groie_1x_coco/grid_rcnn_r50_fpn_gn-head_groie_1x_coco_20200605_202059-4b75d86f.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/groie/grid_rcnn_r50_fpn_gn-head_groie_1x_coco/grid_rcnn_r50_fpn_gn-head_groie_1x_coco_20200605_202059.log.json)                                             |
 | R-50-FPN  |     + GRoIE     |   1x    |        |         |            [config](./grid_rcnn_r50_fpn_gn-head_groie_1x_coco.py)             |                                                                                                                                                                                                                                                                                                                                                                                                                                              |
 | R-50-FPN  |   Mask R-CNN    |   1x    |  38.2  |  34.7   |              [config](../mask_rcnn/mask_rcnn_r50_fpn_1x_coco.py)              |                                                                        [model](https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_r50_fpn_1x_coco/mask_rcnn_r50_fpn_1x_coco_20200205-d4b0c5d6.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_r50_fpn_1x_coco/mask_rcnn_r50_fpn_1x_coco_20200205_050542.log.json)                                                                         |
 | R-50-FPN  |     + GRoIE     |   1x    |  39.0  |  36.0   |                [config](./mask_rcnn_r50_fpn_groie_1x_coco.py)                 |                                                             [model](https://download.openmmlab.com/mmdetection/v2.0/groie/mask_rcnn_r50_fpn_groie_1x_coco/mask_rcnn_r50_fpn_groie_1x_coco_20200604_211715-50d90c74.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/groie/mask_rcnn_r50_fpn_groie_1x_coco/mask_rcnn_r50_fpn_groie_1x_coco_20200604_211715.log.json)                                                             |

configs/groie/metafile.yml

@@ -43,6 +43,7 @@ Models:
         Dataset: COCO
         Metrics:
           box AP: 39.1
+    Weights: https://download.openmmlab.com/mmdetection/v2.0/groie/grid_rcnn_r50_fpn_gn-head_groie_1x_coco/grid_rcnn_r50_fpn_gn-head_groie_1x_coco_20200605_202059-4b75d86f.pth
 
   - Name: mask_rcnn_r50_fpn_groie_1x_coco
     In Collection: GRoIE

configs/guided_anchoring/metafile.yml

@@ -39,9 +39,9 @@ Models:
           AR@1000: 68.4
     Weights: https://download.openmmlab.com/mmdetection/v2.0/guided_anchoring/ga_rpn_r50_caffe_fpn_1x_coco/ga_rpn_r50_caffe_fpn_1x_coco_20200531-899008a6.pth
 
-  - Name: ga_rpn_r101_caffe_fpn_1x_coco.py
+  - Name: ga_rpn_r101_caffe_fpn_1x_coco
     In Collection: Guided Anchoring
-    Config: configs/guided_anchoring/ga_rpn_r101_caffe_fpn_1x_coco.py.py
+    Config: configs/guided_anchoring/ga_rpn_r101_caffe_fpn_1x_coco.py
     Metadata:
       Training Memory (GB): 7.3
       inference time (ms/im):
@@ -59,9 +59,9 @@ Models:
           AR@1000: 69.5
     Weights: https://download.openmmlab.com/mmdetection/v2.0/guided_anchoring/ga_rpn_r101_caffe_fpn_1x_coco/ga_rpn_r101_caffe_fpn_1x_coco_20200531-ca9ba8fb.pth
 
-  - Name: ga_rpn_x101_32x4d_fpn_1x_coco.py
+  - Name: ga_rpn_x101_32x4d_fpn_1x_coco
     In Collection: Guided Anchoring
-    Config: configs/guided_anchoring/ga_rpn_x101_32x4d_fpn_1x_coco.py.py
+    Config: configs/guided_anchoring/ga_rpn_x101_32x4d_fpn_1x_coco.py
     Metadata:
       Training Memory (GB): 8.5
       inference time (ms/im):
@@ -79,9 +79,9 @@ Models:
           AR@1000: 70.6
     Weights: https://download.openmmlab.com/mmdetection/v2.0/guided_anchoring/ga_rpn_x101_32x4d_fpn_1x_coco/ga_rpn_x101_32x4d_fpn_1x_coco_20200220-c28d1b18.pth
 
-  - Name: ga_rpn_x101_64x4d_fpn_1x_coco.py.py
+  - Name: ga_rpn_x101_64x4d_fpn_1x_coco
     In Collection: Guided Anchoring
-    Config: configs/guided_anchoring/ga_rpn_x101_64x4d_fpn_1x_coco.py.py.py
+    Config: configs/guided_anchoring/ga_rpn_x101_64x4d_fpn_1x_coco.py
     Metadata:
       Training Memory (GB): 7.1
       inference time (ms/im):

configs/lad/README.md

@@ -20,12 +20,12 @@ Distillation.
 
 ### PAA with LAD
 
-| Teacher | Student | Training schedule | AP (val) |                        Config                         |
-| :-----: | :-----: | :---------------: | :------: | :---------------------------------------------------: |
-|   --    |  R-50   |        1x         |   40.4   |                                                       |
-|   --    |  R-101  |        1x         |   42.6   |                                                       |
-|  R-101  |  R-50   |        1x         |   41.6   | [config](configs/lad/lad_r50_paa_r101_fpn_coco_1x.py) |
-|  R-50   |  R-101  |        1x         |   43.2   | [config](configs/lad/lad_r101_paa_r50_fpn_coco_1x.py) |
+| Teacher | Student | Training schedule | AP (val) |                                                   Config                                                    |                                                                                                                                               Download                                                                                                                                               |
+| :-----: | :-----: | :---------------: | :------: | :---------------------------------------------------------------------------------------------------------: | :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
+|   --    |  R-50   |        1x         |   40.4   |     [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/paa/paa_r50_fpn_1x_coco.py)      |                     [model](https://download.openmmlab.com/mmdetection/v2.0/paa/paa_r50_fpn_1x_coco/paa_r50_fpn_1x_coco_20200821-936edec3.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/paa/paa_r50_fpn_1x_coco/paa_r50_fpn_1x_coco_20200821-936edec3.log.json)                      |
+|   --    |  R-101  |        1x         |   42.6   |     [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/paa/paa_r101_fpn_1x_coco.py)     |                   [model](https://download.openmmlab.com/mmdetection/v2.0/paa/paa_r101_fpn_1x_coco/paa_r101_fpn_1x_coco_20200821-0a1825a4.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/paa/paa_r101_fpn_1x_coco/paa_r101_fpn_1x_coco_20200821-0a1825a4.log.json)                    |
+|  R-101  |  R-50   |        1x         |   41.4   | [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/lad/lad_r50_paa_r101_fpn_coco_1x.py) | [model](https://download.openmmlab.com/mmdetection/v2.0/lad/lad_r50_paa_r101_fpn_coco_1x/lad_r50_paa_r101_fpn_coco_1x_20220708_124246-74c76ff0.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/lad/lad_r50_paa_r101_fpn_coco_1x/lad_r50_paa_r101_fpn_coco_1x_20220708_124246.log.json) |
+|  R-50   |  R-101  |        1x         |   43.2   | [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/lad/lad_r101_paa_r50_fpn_coco_1x.py) | [model](https://download.openmmlab.com/mmdetection/v2.0/lad/lad_r101_paa_r50_fpn_coco_1x/lad_r101_paa_r50_fpn_coco_1x_20220708_124357-9407ac54.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/lad/lad_r101_paa_r50_fpn_coco_1x/lad_r101_paa_r50_fpn_coco_1x_20220708_124357.log.json) |
 
 ## Note
 

configs/lad/metafile.yml

@@ -6,7 +6,7 @@ Collections:
         - Label Assignment Distillation
         - SGD with Momentum
         - Weight Decay
-      Training Resources: 8x V100 GPUs
+      Training Resources: 2x V100 GPUs
       Architecture:
         - FPN
         - ResNet
@@ -19,24 +19,27 @@ Collections:
       Version: v2.19.0
 
 Models:
-  - Name: lad_r50_paa_r101_fpn_coco_1x
+  - Name: lad_r101_paa_r50_fpn_coco_1x
     In Collection: Label Assignment Distillation
-    Config: configs/lad/lad_r50_paa_r101_fpn_coco_1x.py
+    Config: configs/lad/lad_r101_paa_r50_fpn_coco_1x.py
     Metadata:
-      Teacher: R-101
+      Training Memory (GB): 12.4
+      Epochs: 12
     Results:
-      - Task: Object Detection
-        Dataset: COCO
-        Metrics:
-          box AP: 41.6
-
-  - Name: lad_r101_paa_r50_fpn_coco_1x
+    - Task: Object Detection
+      Dataset: COCO
+      Metrics:
+        box AP: 43.2
+    Weights: https://download.openmmlab.com/mmdetection/v2.0/lad/lad_r101_paa_r50_fpn_coco_1x/lad_r101_paa_r50_fpn_coco_1x_20220708_124357-9407ac54.pth
+  - Name: lad_r50_paa_r101_fpn_coco_1x
     In Collection: Label Assignment Distillation
-    Config: configs/lad/lad_r101_paa_r50_fpn_coco_1x.py
+    Config: configs/lad/lad_r50_paa_r101_fpn_coco_1x.py
     Metadata:
-      Teacher: R-50
+      Training Memory (GB): 8.9
+      Epochs: 12
     Results:
-      - Task: Object Detection
-        Dataset: COCO
-        Metrics:
-          box AP: 43.2
+    - Task: Object Detection
+      Dataset: COCO
+      Metrics:
+        box AP: 41.4
+    Weights: https://download.openmmlab.com/mmdetection/v2.0/lad/lad_r50_paa_r101_fpn_coco_1x/lad_r50_paa_r101_fpn_coco_1x_20220708_124246-74c76ff0.pth