[Refactor]: change config content (open-mmlab#8635)

* repair config content * update * replace metafile Name * update tests
imclab · Aug 26, 2022 · fff646d · fff646d
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diff --git a/configs/albu_example/README.md b/configs/albu_example/README.md
@@ -16,7 +16,7 @@ Data augmentation is a commonly used technique for increasing both the size and
 
 | Backbone |  Style  | Lr schd | Mem (GB) | Inf time (fps) | box AP | mask AP |                                                         Config                                                         |                                                                                                                                                        Download                                                                                                                                                         |
 | :------: | :-----: | :-----: | :------: | :------------: | :----: | :-----: | :--------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
-|   R-50   | pytorch |   1x    |   4.4    |      16.6      |  38.0  |  34.5   | [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/albu_example/mask_rcnn_r50_fpn_albu_1x_coco.py) | [model](https://download.openmmlab.com/mmdetection/v2.0/albu_example/mask_rcnn_r50_fpn_albu_1x_coco/mask_rcnn_r50_fpn_albu_1x_coco_20200208-ab203bcd.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/albu_example/mask_rcnn_r50_fpn_albu_1x_coco/mask_rcnn_r50_fpn_albu_1x_coco_20200208_225520.log.json) |
+|   R-50   | pytorch |   1x    |   4.4    |      16.6      |  38.0  |  34.5   | [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/albu_example/mask-rcnn_r50_fpn_albu-1x_coco.py) | [model](https://download.openmmlab.com/mmdetection/v2.0/albu_example/mask_rcnn_r50_fpn_albu_1x_coco/mask_rcnn_r50_fpn_albu_1x_coco_20200208-ab203bcd.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/albu_example/mask_rcnn_r50_fpn_albu_1x_coco/mask_rcnn_r50_fpn_albu_1x_coco_20200208_225520.log.json) |
 
 ## Citation
 

diff --git a/configs/albu_example/mask-rcnn_r50_fpn_albu-1x_coco.py b/configs/albu_example/mask-rcnn_r50_fpn_albu-1x_coco.py
@@ -1,4 +1,4 @@
-_base_ = '../mask_rcnn/mask_rcnn_r50_fpn_1x_coco.py'
+_base_ = '../mask_rcnn/mask-rcnn_r50_fpn_1x_coco.py'
 
 albu_train_transforms = [
     dict(

diff --git a/configs/atss/atss_r101_fpn_8xb8-amp-lsj-200e_coco.py b/configs/atss/atss_r101_fpn_8xb8-amp-lsj-200e_coco.py
@@ -1,4 +1,4 @@
-_base_ = './atss_r50_fpn_lsj_200e_8x8_fp16_coco.py'
+_base_ = './atss_r50_fpn_8xb8-amp-lsj-200e_coco.py'
 
 model = dict(
     backbone=dict(

diff --git a/configs/atss/atss_r18_fpn_8xb8-amp-lsj-200e_coco.py b/configs/atss/atss_r18_fpn_8xb8-amp-lsj-200e_coco.py
@@ -1,4 +1,4 @@
-_base_ = './atss_r50_fpn_lsj_200e_8x8_fp16_coco.py'
+_base_ = './atss_r50_fpn_8xb8-amp-lsj-200e_coco.py'
 
 model = dict(
     backbone=dict(

diff --git a/configs/atss/atss_r50_fpn_8xb8-amp-lsj-200e_coco.py b/configs/atss/atss_r50_fpn_8xb8-amp-lsj-200e_coco.py
@@ -1,4 +1,4 @@
-_base_ = '../common/lsj_200e_coco_detection.py'
+_base_ = '../common/lsj-200e_coco-detection.py'
 
 image_size = (1024, 1024)
 batch_augments = [dict(type='BatchFixedSizePad', size=image_size)]

diff --git a/configs/autoassign/README.md b/configs/autoassign/README.md
@@ -14,9 +14,9 @@ Determining positive/negative samples for object detection is known as label ass
 
 ## Results and Models
 
-| Backbone | Style | Lr schd | Mem (GB) | box AP |                       Config                        |                                                                                                                                                        Download                                                                                                                                                         |
-| :------: | :---: | :-----: | :------: | :----: | :-------------------------------------------------: | :---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
-|   R-50   | caffe |   1x    |   4.08   |  40.4  | [config](./autoassign_r50_caffe_fpn_8x2_1x_coco.py) | [model](https://download.openmmlab.com/mmdetection/v2.0/autoassign/auto_assign_r50_fpn_1x_coco/auto_assign_r50_fpn_1x_coco_20210413_115540-5e17991f.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/autoassign/auto_assign_r50_fpn_1x_coco/auto_assign_r50_fpn_1x_coco_20210413_115540-5e17991f.log.json) |
+| Backbone | Style | Lr schd | Mem (GB) | box AP |                     Config                      |                                                                                                                                                        Download                                                                                                                                                         |
+| :------: | :---: | :-----: | :------: | :----: | :---------------------------------------------: | :---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
+|   R-50   | caffe |   1x    |   4.08   |  40.4  | [config](./autoassign_r50-caffe_fpn_1x_coco.py) | [model](https://download.openmmlab.com/mmdetection/v2.0/autoassign/auto_assign_r50_fpn_1x_coco/auto_assign_r50_fpn_1x_coco_20210413_115540-5e17991f.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/autoassign/auto_assign_r50_fpn_1x_coco/auto_assign_r50_fpn_1x_coco_20210413_115540-5e17991f.log.json) |
 
 **Note**:
 

diff --git a/configs/autoassign/metafile.yml b/configs/autoassign/metafile.yml
@@ -19,9 +19,9 @@ Collections:
       Version: v2.12.0
 
 Models:
-  - Name: autoassign_r50_caffe_fpn_8x2_1x_coco
+  - Name: autoassign_r50-caffe_fpn_1x_coco
     In Collection: AutoAssign
-    Config: configs/autoassign/autoassign_r50_caffe_fpn_8x2_1x_coco.py
+    Config: configs/autoassign/autoassign_r50-caffe_fpn_1x_coco.py
     Metadata:
       Training Memory (GB): 4.08
       Epochs: 12

diff --git a/configs/carafe/README.md b/configs/carafe/README.md
@@ -18,9 +18,9 @@ The results on COCO 2017 val is shown in the below table.
 
 |         Method         | Backbone |  Style  | Lr schd | Test Proposal Num | Inf time (fps) | Box AP | Mask AP |                                                        Config                                                        |                                                                                                                                                                         Download                                                                                                                                                                          |
 | :--------------------: | :------: | :-----: | :-----: | :---------------: | :------------: | :----: | :-----: | :------------------------------------------------------------------------------------------------------------------: | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
-| Faster R-CNN w/ CARAFE | R-50-FPN | pytorch |   1x    |       1000        |      16.5      |  38.6  |  38.6   | [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/carafe/faster_rcnn_r50_fpn_carafe_1x_coco.py) |     [model](https://download.openmmlab.com/mmdetection/v2.0/carafe/faster_rcnn_r50_fpn_carafe_1x_coco/faster_rcnn_r50_fpn_carafe_1x_coco_bbox_mAP-0.386_20200504_175733-385a75b7.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/carafe/faster_rcnn_r50_fpn_carafe_1x_coco/faster_rcnn_r50_fpn_carafe_1x_coco_20200504_175733.log.json)     |
+| Faster R-CNN w/ CARAFE | R-50-FPN | pytorch |   1x    |       1000        |      16.5      |  38.6  |  38.6   | [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/carafe/faster-rcnn_r50_fpn-carafe_1x_coco.py) |     [model](https://download.openmmlab.com/mmdetection/v2.0/carafe/faster_rcnn_r50_fpn_carafe_1x_coco/faster_rcnn_r50_fpn_carafe_1x_coco_bbox_mAP-0.386_20200504_175733-385a75b7.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/carafe/faster_rcnn_r50_fpn_carafe_1x_coco/faster_rcnn_r50_fpn_carafe_1x_coco_20200504_175733.log.json)     |
 |           -            |    -     |    -    |    -    |       2000        |                |        |         |                                                                                                                      |                                                                                                                                                                                                                                                                                                                                                           |
-|  Mask R-CNN w/ CARAFE  | R-50-FPN | pytorch |   1x    |       1000        |      14.0      |  39.3  |  35.8   |  [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/carafe/mask_rcnn_r50_fpn_carafe_1x_coco.py)  | [model](https://download.openmmlab.com/mmdetection/v2.0/carafe/mask_rcnn_r50_fpn_carafe_1x_coco/mask_rcnn_r50_fpn_carafe_1x_coco_bbox_mAP-0.393__segm_mAP-0.358_20200503_135957-8687f195.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/carafe/mask_rcnn_r50_fpn_carafe_1x_coco/mask_rcnn_r50_fpn_carafe_1x_coco_20200503_135957.log.json) |
+|  Mask R-CNN w/ CARAFE  | R-50-FPN | pytorch |   1x    |       1000        |      14.0      |  39.3  |  35.8   |  [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/carafe/mask-rcnn_r50_fpn-carafe_1x_coco.py)  | [model](https://download.openmmlab.com/mmdetection/v2.0/carafe/mask_rcnn_r50_fpn_carafe_1x_coco/mask_rcnn_r50_fpn_carafe_1x_coco_bbox_mAP-0.393__segm_mAP-0.358_20200503_135957-8687f195.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/carafe/mask_rcnn_r50_fpn_carafe_1x_coco/mask_rcnn_r50_fpn_carafe_1x_coco_20200503_135957.log.json) |
 |           -            |    -     |    -    |    -    |       2000        |                |        |         |                                                                                                                      |                                                                                                                                                                                                                                                                                                                                                           |
 
 ## Implementation

diff --git a/configs/carafe/faster-rcnn_r50_fpn-carafe_1x_coco.py b/configs/carafe/faster-rcnn_r50_fpn-carafe_1x_coco.py
@@ -1,4 +1,4 @@
-_base_ = '../faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py'
+_base_ = '../faster_rcnn/faster-rcnn_r50_fpn_1x_coco.py'
 model = dict(
     data_preprocessor=dict(pad_size_divisor=64),
     neck=dict(

diff --git a/configs/carafe/mask-rcnn_r50_fpn-carafe_1x_coco.py b/configs/carafe/mask-rcnn_r50_fpn-carafe_1x_coco.py
@@ -1,4 +1,4 @@
-_base_ = '../mask_rcnn/mask_rcnn_r50_fpn_1x_coco.py'
+_base_ = '../mask_rcnn/mask-rcnn_r50_fpn_1x_coco.py'
 model = dict(
     data_preprocessor=dict(pad_size_divisor=64),
     neck=dict(

diff --git a/configs/carafe/metafile.yml b/configs/carafe/metafile.yml
@@ -20,9 +20,9 @@ Collections:
       Version: v2.12.0
 
 Models:
-  - Name: faster_rcnn_r50_fpn_carafe_1x_coco
+  - Name: faster-rcnn_r50_fpn_carafe_1x_coco
     In Collection: CARAFE
-    Config: configs/carafe/faster_rcnn_r50_fpn_carafe_1x_coco.py
+    Config: configs/carafe/faster-rcnn_r50_fpn-carafe_1x_coco.py
     Metadata:
       Training Memory (GB): 4.26
       Epochs: 12
@@ -37,9 +37,9 @@ Models:
           mask AP: 38.6
     Weights: https://download.openmmlab.com/mmdetection/v2.0/carafe/faster_rcnn_r50_fpn_carafe_1x_coco/faster_rcnn_r50_fpn_carafe_1x_coco_bbox_mAP-0.386_20200504_175733-385a75b7.pth
 
-  - Name: mask_rcnn_r50_fpn_carafe_1x_coco
+  - Name: mask-rcnn_r50_fpn_carafe_1x_coco
     In Collection: CARAFE
-    Config: configs/carafe/mask_rcnn_r50_fpn_carafe_1x_coco.py
+    Config: configs/carafe/mask-rcnn_r50_fpn-carafe_1x_coco.py
     Metadata:
       Training Memory (GB): 4.31
       Epochs: 12