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Unverified Commit 22c47ac7 authored by Feng Wang's avatar Feng Wang Committed by GitHub
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[Fix] fix SECOND Waymo results (#363) 

* fix SECOND Waymo results

* fix pr number
parent dad7506a
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configs/second/README.md
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...@@ -27,9 +27,9 @@ We implement SECOND and provide the results and checkpoints on KITTI dataset. ...@@ -27,9 +27,9 @@ We implement SECOND and provide the results and checkpoints on KITTI dataset.
| Backbone | Load Interval | Class | Lr schd | Mem (GB) | Inf time (fps) | mAP@L1 | mAPH@L1 | mAP@L2 | **mAPH@L2** | Download | | Backbone | Load Interval | Class | Lr schd | Mem (GB) | Inf time (fps) | mAP@L1 | mAPH@L1 | mAP@L2 | **mAPH@L2** | Download |
| :-------: | :-----------: |:-----:| :------:| :------: | :------------: | :----: | :-----: | :-----: | :-----: | :------: | | :-------: | :-----------: |:-----:| :------:| :------: | :------------: | :----: | :-----: | :-----: | :-----: | :------: |
| [SECFPN](./hv_second_secfpn_sbn_2x16_2x_waymoD5-3d-3class.py)|5|3 Class|2x|8.12||58.0|53.5|51.5|48.3|[log](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/second/hv_second_secfpn_sbn_4x8_2x_waymoD5-3d-3class/hv_second_secfpn_sbn_4x8_2x_waymoD5-3d-3class_20201115_112448.log.json)| | [SECFPN](./hv_second_secfpn_sbn_2x16_2x_waymoD5-3d-3class.py)|5|3 Class|2x|8.12||65.3|61.7|58.9|55.7|[log](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/second/hv_second_secfpn_sbn_4x8_2x_waymoD5-3d-3class/hv_second_secfpn_sbn_4x8_2x_waymoD5-3d-3class_20201115_112448.log.json)|
| above @ Car|||2x|8.12||58.5|57.9|51.6|51.1| | | above @ Car|||2x|8.12||67.1|66.6|58.7|58.2| |
| above @ Pedestrian|||2x|8.12||63.9|54.9|56.0|48.0| | | above @ Pedestrian|||2x|8.12||68.1|59.1|59.5|51.5| |
| above @ Cyclist|||2x|8.12||48.6|47.6|46.8|45.8| | | above @ Cyclist|||2x|8.12||60.7|59.5|58.4|57.3| |
Note: See more details about metrics and data split on Waymo [HERE](https://github.com/open-mmlab/mmdetection3d/tree/master/configs/pointpillars). For implementation details, we basically follow the original settings. All of these results are achieved without bells-and-whistles, e.g. ensemble, multi-scale training and test augmentation. Note: See more details about metrics and data split on Waymo [HERE](https://github.com/open-mmlab/mmdetection3d/tree/master/configs/pointpillars). For implementation details, we basically follow the original settings. All of these results are achieved without bells-and-whistles, e.g. ensemble, multi-scale training and test augmentation.
docs/changelog.md
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...@@ -92,7 +92,7 @@ ...@@ -92,7 +92,7 @@
#### Improvements #### Improvements
- Enhance [SECOND](https://github.com/open-mmlab/mmdetection3d/tree/master/configs/second) benchmark on Waymo with stronger baselines. (#166) - Enhance [SECOND](https://github.com/open-mmlab/mmdetection3d/tree/master/configs/second) benchmark on Waymo with stronger baselines. (#205)
- Add model zoo statistics and polish the documentation. (#201) - Add model zoo statistics and polish the documentation. (#201)
### v0.7.0 (1/11/2020) ### v0.7.0 (1/11/2020)
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