[Fix] Update links of configs and restrict the version of MMCV (open-mmlab#2337)

JingweiZhang12 · web-flow · commit 06b56888b94f · 2023-03-16T17:20:29.000+08:00
* update config link in readme

* update version restriction

* update

* fix some configs error in metafile

* add pvrcnn and fcaf3d in model-index.yml
diff --git a/configs/centerpoint/README.md b/configs/centerpoint/README.md
diff --git a/configs/fcos3d/README.md b/configs/fcos3d/README.md
@@ -52,7 +52,7 @@ We also provide visualization functions to show the monocular 3D detection resul
 
 |                                        Backbone                                         | Lr schd | Mem (GB) | Inf time (fps) | mAP  | NDS  |                                                                                                                                                                                                                             Download                                                                                                                                                                                                                             |
 | :-------------------------------------------------------------------------------------: | :-----: | :------: | :------------: | :--: | :--: | :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
-|     \[ResNet101 w/ DCN\](./fcos3d_r101-caffe-dcn_fpn_head-gn_8xb2-1x_nus-mono3d.py)     |   1x    |   8.69   |                | 29.8 | 37.7 |                   [model](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/fcos3d/fcos3d_r101_caffe_fpn_gn-head_dcn_2x8_1x_nus-mono3d/fcos3d_r101_caffe_fpn_gn-head_dcn_2x8_1x_nus-mono3d_20210715_235813-4bed5239.pth) \| [log](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/fcos3d/fcos3d_r101_caffe_fpn_gn-head_dcn_2x8_1x_nus-mono3d/fcos3d_r101_caffe_fpn_gn-head_dcn_2x8_1x_nus-mono3d_20210715_235813.log.json)                   |
+|      [ResNet101 w/ DCN](./fcos3d_r101-caffe-dcn_fpn_head-gn_8xb2-1x_nus-mono3d.py)      |   1x    |   8.69   |                | 29.8 | 37.7 |                   [model](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/fcos3d/fcos3d_r101_caffe_fpn_gn-head_dcn_2x8_1x_nus-mono3d/fcos3d_r101_caffe_fpn_gn-head_dcn_2x8_1x_nus-mono3d_20210715_235813-4bed5239.pth) \| [log](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/fcos3d/fcos3d_r101_caffe_fpn_gn-head_dcn_2x8_1x_nus-mono3d/fcos3d_r101_caffe_fpn_gn-head_dcn_2x8_1x_nus-mono3d_20210715_235813.log.json)                   |
 | [above w/ finetune](./fcos3d_r101-caffe-dcn_fpn_head-gn_8xb2-1x_nus-mono3d_finetune.py) |   1x    |   8.69   |                | 32.1 | 39.5 | [model](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/fcos3d/fcos3d_r101_caffe_fpn_gn-head_dcn_2x8_1x_nus-mono3d_finetune/fcos3d_r101_caffe_fpn_gn-head_dcn_2x8_1x_nus-mono3d_finetune_20210717_095645-8d806dc2.pth) \| [log](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/fcos3d/fcos3d_r101_caffe_fpn_gn-head_dcn_2x8_1x_nus-mono3d_finetune/fcos3d_r101_caffe_fpn_gn-head_dcn_2x8_1x_nus-mono3d_finetune_20210717_095645.log.json) |
 |                                      above w/ tta                                       |   1x    |   8.69   |                | 33.1 | 40.3 |                                                                                                                                                                                                                                                                                                                                                                                                                                                                  |
 
diff --git a/configs/pointpillars/README.md b/configs/pointpillars/README.md
@@ -30,9 +30,9 @@ We implement PointPillars and provide the results and checkpoints on KITTI, nuSc
 |                                Backbone                                 | Lr schd | Mem (GB) | Inf time (fps) |  mAP  |  NDS  |                                                                                                                                                                                                     Download                                                                                                                                                                                                     |
 | :---------------------------------------------------------------------: | :-----: | :------: | :------------: | :---: | :---: | :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
 |      [SECFPN](./pointpillars_hv_secfpn_sbn-all_8xb4-2x_nus-3d.py)       |   2x    |   16.4   |                | 34.33 | 49.1  |   [model](https://download.openmmlab.com/mmdetection3d/v1.0.0_models/pointpillars/hv_pointpillars_secfpn_sbn-all_4x8_2x_nus-3d/hv_pointpillars_secfpn_sbn-all_4x8_2x_nus-3d_20210826_225857-f19d00a3.pth) \| [log](https://download.openmmlab.com/mmdetection3d/v1.0.0_models/pointpillars/hv_pointpillars_secfpn_sbn-all_4x8_2x_nus-3d/hv_pointpillars_secfpn_sbn-all_4x8_2x_nus-3d_20210826_225857.log.json)   |
-| [SECFPN (FP16)](./hv_pointpillars_secfpn_sbn-all_fp16_2x8_2x_nus-3d.py) |   2x    |   8.37   |                | 35.19 | 50.27 | [model](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/fp16/hv_pointpillars_secfpn_sbn-all_fp16_2x8_2x_nus-3d/hv_pointpillars_secfpn_sbn-all_fp16_2x8_2x_nus-3d_20201020_222626-c3f0483e.pth) \| [log](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/fp16/hv_pointpillars_secfpn_sbn-all_fp16_2x8_2x_nus-3d/hv_pointpillars_secfpn_sbn-all_fp16_2x8_2x_nus-3d_20201020_222626.log.json) |
+| [SECFPN (FP16)](./pointpillars_hv_secfpn_sbn-all_8xb2-amp-2x_nus-3d.py) |   2x    |   8.37   |                | 35.19 | 50.27 | [model](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/fp16/hv_pointpillars_secfpn_sbn-all_fp16_2x8_2x_nus-3d/hv_pointpillars_secfpn_sbn-all_fp16_2x8_2x_nus-3d_20201020_222626-c3f0483e.pth) \| [log](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/fp16/hv_pointpillars_secfpn_sbn-all_fp16_2x8_2x_nus-3d/hv_pointpillars_secfpn_sbn-all_fp16_2x8_2x_nus-3d_20201020_222626.log.json) |
 |         [FPN](./pointpillars_hv_fpn_sbn-all_8xb4-2x_nus-3d.py)          |   2x    |   16.3   |                | 39.7  | 53.2  |         [model](https://download.openmmlab.com/mmdetection3d/v1.0.0_models/pointpillars/hv_pointpillars_fpn_sbn-all_4x8_2x_nus-3d/hv_pointpillars_fpn_sbn-all_4x8_2x_nus-3d_20210826_104936-fca299c1.pth) \| [log](https://download.openmmlab.com/mmdetection3d/v1.0.0_models/pointpillars/hv_pointpillars_fpn_sbn-all_4x8_2x_nus-3d/hv_pointpillars_fpn_sbn-all_4x8_2x_nus-3d_20210826_104936.log.json)         |
-|    [FPN (FP16)](./hv_pointpillars_fpn_sbn-all_fp16_2x8_2x_nus-3d.py)    |   2x    |   8.40   |                | 39.26 | 53.26 |       [model](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/fp16/hv_pointpillars_fpn_sbn-all_fp16_2x8_2x_nus-3d/hv_pointpillars_fpn_sbn-all_fp16_2x8_2x_nus-3d_20201021_120719-269f9dd6.pth) \| [log](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/fp16/hv_pointpillars_fpn_sbn-all_fp16_2x8_2x_nus-3d/hv_pointpillars_fpn_sbn-all_fp16_2x8_2x_nus-3d_20201021_120719.log.json)       |
+|    [FPN (FP16)](./pointpillars_hv_fpn_sbn-all_8xb2-amp-2x_nus-3d.py)    |   2x    |   8.40   |                | 39.26 | 53.26 |       [model](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/fp16/hv_pointpillars_fpn_sbn-all_fp16_2x8_2x_nus-3d/hv_pointpillars_fpn_sbn-all_fp16_2x8_2x_nus-3d_20201021_120719-269f9dd6.pth) \| [log](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/fp16/hv_pointpillars_fpn_sbn-all_fp16_2x8_2x_nus-3d/hv_pointpillars_fpn_sbn-all_fp16_2x8_2x_nus-3d_20201021_120719.log.json)       |
 
 ### Lyft
 
diff --git a/configs/pointpillars/metafile.yml b/configs/pointpillars/metafile.yml
@@ -147,9 +147,9 @@ Models:
           Public Score: 15.0
     Weights: https://download.openmmlab.com/mmdetection3d/v1.0.0_models/pointpillars/hv_pointpillars_fpn_sbn-all_2x8_2x_lyft-3d/hv_pointpillars_fpn_sbn-all_2x8_2x_lyft-3d_20210822_095429-0b3d6196.pth
 
-  - Name: hv_pointpillars_secfpn_sbn_2x16_2x_waymoD5-3d-car
+  - Name: pointpillars_hv_secfpn_sbn_2x16_2x_waymoD5-3d-car
     In Collection: PointPillars
-    Config: configs/pointpillars/hv_pointpillars_secfpn_sbn_2x16_2x_waymoD5-3d-car.py
+    Config: configs/pointpillars/pointpillars_hv_secfpn_sbn_2x16_2x_waymoD5-3d-car.py
     Metadata:
       Training Data: Waymo
       Training Memory (GB): 7.76
@@ -164,7 +164,7 @@ Models:
           mAPH@L2: 62.1
     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_waymoD5-3d-3class
+  - Name: pointpillars_hv_secfpn_sbn_2x16_2x_waymoD5-3d-3class
     Alias: pointpillars_waymod5-3class
     In Collection: PointPillars
     Config: configs/pointpillars/pointpillars_hv_secfpn_sbn-all_16xb2-2x_waymoD5-3d-3class.py
@@ -182,7 +182,7 @@ Models:
           mAPH@L2: 52.1
     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_2x16_2x_waymo-3d-car
+  - Name: pointpillars_hv_secfpn_sbn_2x16_2x_waymo-3d-car
     In Collection: PointPillars
     Config: configs/pointpillars/pointpillars_hv_secfpn_sbn-all_16xb2-2x_waymo-3d-car.py
     Metadata:
@@ -198,7 +198,7 @@ Models:
           mAP@L2: 63.6
           mAPH@L2: 63.1
 
-  - Name: hv_pointpillars_secfpn_sbn_2x16_2x_waymo-3d-3class
+  - Name: pointpillars_hv_secfpn_sbn_2x16_2x_waymo-3d-3class
     In Collection: PointPillars
     Config: configs/pointpillars/pointpillars_hv_secfpn_sbn-all_16xb2-2x_waymo-3d-3class.py
     Metadata:
diff --git a/configs/pointpillars/pointpillars_hv_fpn_sbn-all_8xb2-amp-2x_nus-3d.py b/configs/pointpillars/pointpillars_hv_fpn_sbn-all_8xb2-amp-2x_nus-3d.py
@@ -0,0 +1,4 @@
+_base_ = './pointpillars_hv_fpn_sbn-all_8xb4-2x_nus-3d.py'
+train_dataloader = dict(batch_size=2, num_workers=2)
+# schedule settings
+optim_wrapper = dict(type='AmpOptimWrapper', loss_scale=512.)
diff --git a/configs/pointpillars/pointpillars_hv_fpn_sbn-all_8xb4-amp-2x_nus-3d.py b/configs/pointpillars/pointpillars_hv_fpn_sbn-all_8xb4-amp-2x_nus-3d.py
diff --git a/configs/pointpillars/pointpillars_hv_secfpn_sbn-all_8xb2-amp-2x_nus-3d.py b/configs/pointpillars/pointpillars_hv_secfpn_sbn-all_8xb2-amp-2x_nus-3d.py
@@ -0,0 +1,4 @@
+_base_ = './pointpillars_hv_secfpn_sbn-all_8xb4-2x_nus-3d.py'
+train_dataloader = dict(batch_size=2, num_workers=2)
+# schedule settings
+optim_wrapper = dict(type='AmpOptimWrapper', loss_scale=512.)
diff --git a/configs/pointpillars/pointpillars_hv_secfpn_sbn-all_8xb4-amp-2x_nus-3d.py b/configs/pointpillars/pointpillars_hv_secfpn_sbn-all_8xb4-amp-2x_nus-3d.py
diff --git a/configs/pv_rcnn/README.md b/configs/pv_rcnn/README.md
@@ -4,7 +4,7 @@
 
 <!-- [ALGORITHM] -->
 
-## Introduction
+## Abstract
 
 3D object detection has been receiving increasing attention from both industry and academia thanks to its wide applications in various fields such as autonomous driving and robotics. LiDAR sensors are widely adopted in autonomous driving vehicles and robots for capturing 3D scene information as sparse and irregular point clouds, which provide vital cues for 3D scene perception and understanding. In this paper, we propose to achieve high performance 3D object detection by designing novel point-voxel integrated networks to learn better 3D features from irregular point clouds.
 
diff --git a/configs/regnet/metafile.yml b/configs/regnet/metafile.yml
@@ -1,7 +1,7 @@
 Models:
-  - Name: hv_pointpillars_regnet-400mf_secfpn_sbn-all_4x8_2x_nus-3d
+  - Name: pointpillars_hv_regnet-400mf_secfpn_sbn-all_4x8_2x_nus-3d
     In Collection: PointPillars
-    Config: configs/regnet/hv_pointpillars_regnet-400mf_secfpn_sbn-all_8xb4-2x_nus-3d.py
+    Config: configs/regnet/pointpillars_hv_regnet-400mf_secfpn_sbn-all_8xb4-2x_nus-3d.py
     Metadata:
       Training Data: nuScenes
       Training Memory (GB): 16.4
@@ -16,9 +16,9 @@ Models:
           NDS: 55.2
     Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/regnet/hv_pointpillars_regnet-400mf_secfpn_sbn-all_4x8_2x_nus-3d/hv_pointpillars_regnet-400mf_secfpn_sbn-all_4x8_2x_nus-3d_20200620_230334-53044f32.pth
 
-  - Name: hv_pointpillars_regnet-400mf_fpn_sbn-all_8xb4-2x_nus-3d
+  - Name: pointpillars_hv_regnet-400mf_fpn_sbn-all_8xb4-2x_nus-3d
     In Collection: PointPillars
-    Config: configs/regnet/hv_pointpillars_regnet-400mf_fpn_sbn-all_8xb4-2x_nus-3d.py
+    Config: configs/regnet/pointpillars_hv_regnet-400mf_fpn_sbn-all_8xb4-2x_nus-3d.py
     Metadata:
       Training Data: nuScenes
       Training Memory (GB): 17.3
@@ -33,9 +33,9 @@ Models:
           NDS: 56.4
     Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/regnet/hv_pointpillars_regnet-400mf_fpn_sbn-all_4x8_2x_nus-3d/hv_pointpillars_regnet-400mf_fpn_sbn-all_4x8_2x_nus-3d_20200620_230239-c694dce7.pth
 
-  - Name: hv_pointpillars_regnet-1.6gf_fpn_sbn-all_8xb4-2x_nus-3d
+  - Name: pointpillars_hv_regnet-1.6gf_fpn_sbn-all_8xb4-2x_nus-3d
     In Collection: PointPillars
-    Config: configs/regnet/hv_pointpillars_regnet-1.6gf_fpn_sbn-all_8xb4-2x_nus-3d.py
+    Config: configs/regnet/pointpillars_hv_regnet-1.6gf_fpn_sbn-all_8xb4-2x_nus-3d.py
     Metadata:
       Training Data: nuScenes
       Training Memory (GB): 24.0
@@ -50,9 +50,9 @@ Models:
           NDS: 59.3
     Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/regnet/hv_pointpillars_regnet-1.6gf_fpn_sbn-all_4x8_2x_nus-3d/hv_pointpillars_regnet-1.6gf_fpn_sbn-all_4x8_2x_nus-3d_20200629_050311-dcd4e090.pth
 
-  - Name: hv_pointpillars_regnet-400mf_secfpn_sbn-all_2x8_2x_lyft-3d
+  - Name: pointpillars_hv_regnet-400mf_secfpn_sbn-all_2x8_2x_lyft-3d
     In Collection: PointPillars
-    Config: configs/regnet/hv_pointpillars_regnet-400mf_secfpn_sbn-all_2x8_2x_lyft-3d.py
+    Config: configs/regnet/pointpillars_hv_regnet-400mf_secfpn_sbn-all_2x8_2x_lyft-3d.py
     Metadata:
       Training Data: Lyft
       Training Memory (GB): 15.9
@@ -67,9 +67,9 @@ Models:
           Public Score: 15.1
     Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/regnet/hv_pointpillars_regnet-400mf_secfpn_sbn-all_2x8_2x_lyft-3d/hv_pointpillars_regnet-400mf_secfpn_sbn-all_2x8_2x_lyft-3d_20210524_092151-42513826.pth
 
-  - Name: hv_pointpillars_regnet-400mf_fpn_sbn-all_2x8_2x_lyft-3d
+  - Name: pointpillars_hv_regnet-400mf_fpn_sbn-all_2x8_2x_lyft-3d
     In Collection: PointPillars
-    Config: configs/regnet/hv_pointpillars_regnet-400mf_fpn_sbn-all_2x8_2x_lyft-3d.py
+    Config: configs/regnet/pointpillars_hv_regnet-400mf_fpn_sbn-all_2x8_2x_lyft-3d.py
     Metadata:
       Training Data: Lyft
       Training Memory (GB): 13.0
diff --git a/configs/second/metafile.yml b/configs/second/metafile.yml
@@ -60,7 +60,7 @@ Models:
 
   - Name: second_hv_secfpn_8xb6-amp-80e_kitti-3d-car
     In Collection: SECOND
-    Config: configs/second/hv_second_secfpn_8xb6-amp-80e_kitti-3d-car.py
+    Config: configs/second/second_hv_secfpn_8xb6-amp-80e_kitti-3d-car.py
     Metadata:
       Training Techniques:
         - AdamW
@@ -79,7 +79,7 @@ Models:
 
   - Name: second_hv_secfpn_8xb6-amp-80e_kitti-3d-3class
     In Collection: SECOND
-    Config: configs/second/hv_second_secfpn_8xb6-amp-80e_kitti-3d-3class.py
+    Config: configs/second/second_hv_secfpn_8xb6-amp-80e_kitti-3d-3class.py
     Metadata:
       Training Techniques:
         - AdamW
diff --git a/configs/smoke/metafile.yml b/configs/smoke/metafile.yml
@@ -17,9 +17,9 @@ Collections:
       Version: v1.0.0
 
 Models:
-  - Name: smoke_dla34_pytorch_dlaneck_gn-all_4xb8-6x_kitti-mono3d
+  - Name: smoke_dla34_dlaneck_gn-all_4xb8-6x_kitti-mono3d
     In Collection: SMOKE
-    Config: configs/smoke/smoke_dla34_pytorch_dlaneck_gn-all_4xb8-6x_kitti-mono3d.py
+    Config: configs/smoke/smoke_dla34_dlaneck_gn-all_4xb8-6x_kitti-mono3d.py
     Metadata:
       Training Memory (GB): 9.6
     Results:
diff --git a/docs/en/notes/faq.md b/docs/en/notes/faq.md
@@ -11,8 +11,8 @@ We list some potential troubles encountered by users and developers, along with
   | MMDetection3D version |     MMEngine version     |      MMCV version       |   MMDetection version    |
   | --------------------- | :----------------------: | :---------------------: | :----------------------: |
   | dev-1.x               | mmengine>=0.6.0, \<1.0.0 | mmcv>=2.0.0rc4, \<2.1.0 | mmdet>=3.0.0rc0, \<3.1.0 |
-  | v1.1.0rc3             | mmengine>=0.1.0, \<1.0.0 | mmcv>=2.0.0rc0, \<2.1.0 | mmdet>=3.0.0rc0, \<3.1.0 |
-  | v1.1.0rc2             | mmengine>=0.1.0, \<1.0.0 | mmcv>=2.0.0rc0, \<2.1.0 | mmdet>=3.0.0rc0, \<3.1.0 |
+  | v1.1.0rc3             | mmengine>=0.1.0, \<1.0.0 | mmcv>=2.0.0rc3, \<2.1.0 | mmdet>=3.0.0rc0, \<3.1.0 |
+  | v1.1.0rc2             | mmengine>=0.1.0, \<1.0.0 | mmcv>=2.0.0rc3, \<2.1.0 | mmdet>=3.0.0rc0, \<3.1.0 |
   | v1.1.0rc1             | mmengine>=0.1.0, \<1.0.0 | mmcv>=2.0.0rc0, \<2.1.0 | mmdet>=3.0.0rc0, \<3.1.0 |
   | v1.1.0rc0             | mmengine>=0.1.0, \<1.0.0 | mmcv>=2.0.0rc0, \<2.1.0 | mmdet>=3.0.0rc0, \<3.1.0 |
 
diff --git a/docs/zh_cn/get_started.md b/docs/zh_cn/get_started.md
@@ -44,7 +44,7 @@ conda install pytorch torchvision cpuonly -c pytorch
 ```shell
 pip install -U openmim
 mim install mmengine
-mim install 'mmcv>=2.0.0rc0'
+mim install 'mmcv>=2.0.0rc4'
 mim install 'mmdet>=3.0.0rc0'
 ```
 
diff --git a/model-index.yml b/model-index.yml
@@ -23,3 +23,5 @@ Import:
   - configs/smoke/metafile.yml
   - configs/ssn/metafile.yml
   - configs/votenet/metafile.yml
+  - configs/pv_rcnn/metafile.yml
+  - configs/fcaf3d/metafile.yml
diff --git a/projects/PETR/README.md b/projects/PETR/README.md
@@ -34,9 +34,9 @@ python tools/test.py projects/PETR/config/petr/petr_vovnet_gridmask_p4_800x320.p
 
 This Result is trained by petr_vovnet_gridmask_p4_800x320.py and use [weights](https://drive.google.com/file/d/1ABI5BoQCkCkP4B0pO5KBJ3Ni0tei0gZi/view?usp=sharing) as pretrain weight.
 
-|                                             Backbone                                             | Lr schd | Mem (GB) | Inf time (fps) | mAP  | NDS  |         Download         |
-| :----------------------------------------------------------------------------------------------: | :-----: | :------: | :------------: | :--: | :--: | :----------------------: |
-| [petr_vovnet_gridmask_p4_800x320](projects/PETR/configs/petr/petr_vovnet_gridmask_p4_800x320.py) |   1x    |   7.62   |      18.7      | 38.3 | 43.5 | [model](<>) \| [log](<>) |
+|                                   Backbone                                    | Lr schd | Mem (GB) | Inf time (fps) | mAP  | NDS  |         Download         |
+| :---------------------------------------------------------------------------: | :-----: | :------: | :------------: | :--: | :--: | :----------------------: |
+| [petr_vovnet_gridmask_p4_800x320](configs/petr_vovnet_gridmask_p4_800x320.py) |   1x    |   7.62   |      18.7      | 38.3 | 43.5 | [model](<>) \| [log](<>) |
 
 ```
 mAP: 0.3830
diff --git a/projects/PETR/configs/petr_vovnet_gridmask_p4_800x320.py b/projects/PETR/configs/petr_vovnet_gridmask_p4_800x320.py
