[Enhance] Supplying the model for lyft trained by regnet (#589)

* [Fix] Supplying the model for lyft trained by regnet

* updating readme in regnet

configs/regnet/README.md

@@ -4,7 +4,7 @@
 
 <!-- [BACKBONE] -->
 
-We implement RegNetX models in 3D detection systems and provide their first results with PointPillars on nuScenes dataset.
+We implement RegNetX models in 3D detection systems and provide their first results with PointPillars on nuScenes and Lyft dataset.
 
 The pre-trained modles are converted from [model zoo of pycls](https://github.com/facebookresearch/pycls/blob/master/MODEL_ZOO.md) and maintained in [mmcv](https://github.com/open-mmlab/mmcv).
 
@@ -63,7 +63,7 @@ For other pre-trained models or self-implemented regnet models, the users are re
 
 |  Backbone   | Lr schd | Mem (GB) | Inf time (fps) | Private Score | Public Score | Download |
 | :---------: | :-----: | :------: | :------------: | :----: |:----: | :------: |
-|[SECFPN](../pointpillars/hv_pointpillars_secfpn_sbn-all_4x8_2x_lyft-3d.py)|2x|||13.4|13.4||
-|[RegNetX-400MF-SECFPN](./hv_pointpillars_regnet-400mf_secfpn_sbn-all_4x8_2x_lyft-3d.py)|  2x  ||||||
-|[FPN](../pointpillars/hv_pointpillars_fpn_sbn-all_4x8_2x_lyft-3d.py)|2x|||14.0|14.2||
-|[RegNetX-400MF-FPN](./hv_pointpillars_regnet-400mf_fpn_sbn-all_4x8_2x_lyft-3d.py)|2x|||15.5|15.6||
+|[SECFPN](../pointpillars/hv_pointpillars_secfpn_sbn-all_2x8_2x_lyft-3d.py)|2x|12.2||13.9|14.1|[model](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/pointpillars/hv_pointpillars_secfpn_sbn-all_2x8_2x_lyft-3d/hv_pointpillars_secfpn_sbn-all_2x8_2x_lyft-3d_20210517_204807-2518e3de.pth) &#124; [log](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/pointpillars/hv_pointpillars_secfpn_sbn-all_2x8_2x_lyft-3d/hv_pointpillars_secfpn_sbn-all_2x8_2x_lyft-3d_20210517_204807.log.json)|
+|[RegNetX-400MF-SECFPN](./hv_pointpillars_regnet-400mf_secfpn_sbn-all_4x8_2x_lyft-3d.py)| 2x |15.9||14.9|15.1|[model](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) &#124; [log](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.log.json)|
+|[FPN](../pointpillars/hv_pointpillars_fpn_sbn-all_2x8_2x_lyft-3d.py)|2x|9.2||14.9|15.1|[model](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/pointpillars/hv_pointpillars_fpn_sbn-all_2x8_2x_lyft-3d/hv_pointpillars_fpn_sbn-all_2x8_2x_lyft-3d_20210517_202818-fc6904c3.pth) &#124; [log](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/pointpillars/hv_pointpillars_fpn_sbn-all_2x8_2x_lyft-3d/hv_pointpillars_fpn_sbn-all_2x8_2x_lyft-3d_20210517_202818.log.json)|
+|[RegNetX-400MF-FPN](./hv_pointpillars_regnet-400mf_fpn_sbn-all_4x8_2x_lyft-3d.py)|2x|13.0||16.0|16.1|[model](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/regnet/hv_pointpillars_regnet-400mf_fpn_sbn-all_2x8_2x_lyft-3d/hv_pointpillars_regnet-400mf_fpn_sbn-all_2x8_2x_lyft-3d_20210521_115618-823dcf18.pth) &#124; [log](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/regnet/hv_pointpillars_regnet-400mf_fpn_sbn-all_2x8_2x_lyft-3d/hv_pointpillars_regnet-400mf_fpn_sbn-all_2x8_2x_lyft-3d_20210521_115618.log.json)|

configs/regnet/metafile.yml

@@ -53,14 +53,30 @@ 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_fpn_sbn-all_4x8_2x_lyft-3d
+  - Name: hv_pointpillars_regnet-400mf_secfpn_sbn-all_2x8_2x_lyft-3d
     In Collection: RegNetX
-    Config: configs/regnet/hv_pointpillars_regnet-400mf_fpn_sbn-all_4x8_2x_lyft-3d.py
+    Config: configs/regnet/hv_pointpillars_regnet-400mf_secfpn_sbn-all_2x8_2x_lyft-3d.py
     Metadata:
       Training Data: Lyft
+      Training Memory (GB): 15.9
     Results:
       - Task: 3D Object Detection
         Dataset: Lyft
         Metrics:
-          Private Score: 15.5
-          Public Score: 15.6
+          Private Score: 14.9
+          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
+    In Collection: RegNetX
+    Config: configs/regnet/hv_pointpillars_regnet-400mf_fpn_sbn-all_2x8_2x_lyft-3d.py
+    Metadata:
+      Training Data: Lyft
+      Training Memory (GB): 13.0
+    Results:
+      - Task: 3D Object Detection
+        Dataset: Lyft
+        Metrics:
+          Private Score: 16.0
+          Public Score: 16.1
+    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/regnet/hv_pointpillars_regnet-400mf_fpn_sbn-all_2x8_2x_lyft-3d/hv_pointpillars_regnet-400mf_fpn_sbn-all_2x8_2x_lyft-3d_20210521_115618-823dcf18.pth