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[Enhance] Add 3dssd checkpoint #359

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merged 8 commits into from
Mar 30, 2021
Merged

[Enhance] Add 3dssd checkpoint #359

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695fcfe
add 3dssd model and log link
xiliu8006 Feb 19, 2021
c720e35
Merge branch 'master' into add_3dssd_checkpoint
xiliu8006 Mar 12, 2021
03f70cf
add kitti devkit evaluation result
xiliu8006 Mar 12, 2021
61eb6cb
Merge branch 'master' into add_3dssd_checkpoint
xiliu8006 Mar 29, 2021
5fe2c71
update perfermance
xiliu8006 Mar 29, 2021
8144e02
update perfermance
xiliu8006 Mar 29, 2021
baef328
modify perfermance
xiliu8006 Mar 30, 2021
90013ac
Merge branch 'master' into add_3dssd_checkpoint
xiliu8006 Mar 30, 2021
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4 changes: 2 additions & 2 deletions configs/3dssd/README.md
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Expand Up @@ -27,6 +27,6 @@ Some settings in our implementation are different from the [official implementat
### KITTI
| Backbone |Class| Lr schd | Mem (GB) | Inf time (fps) | mAP |Download |
| :---------: | :-----: | :------: | :------------: | :----: |:----: | :------: |
| [PointNet2SAMSG](./3dssd_kitti-3d-car.py)| Car |72e|4.7||78.35(80.42)<sup>1</sup>||
| [PointNet2SAMSG](./3dssd_kitti-3d-car.py)| Car |72e|4.7||78.39(81.00)<sup>1</sup>|[model](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/3dssd/3dssd_kitti-3d-car_20210324_122002-07e9a19b.pth) &#124; [log](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/3dssd/3dssd_kitti-3d-car_20210324_122002.log.json)|

[1]: We report two different 3D object detection performance here. 78.35mAP is evaluated by our evaluation code and 80.42mAP is evaluated by the official development kit （so as that used in the paper and official code of 3DSSD ）. We found that the commonly used Python implementation of [`rotate_iou`](https://github.com/traveller59/second.pytorch/blob/e42e4a0e17262ab7d180ee96a0a36427f2c20a44/second/core/non_max_suppression/nms_gpu.py#L605) which is used in our KITTI dataset evaluation, is different from the official implemention in [KITTI benchmark](http://www.cvlibs.net/datasets/kitti/eval_object.php?obj_benchmark=3d).
[1]: We report two different 3D object detection performance here. 78.39mAP is evaluated by our evaluation code and 81.00mAP is evaluated by the official development kit （so as that used in the paper and official code of 3DSSD ）. We found that the commonly used Python implementation of [`rotate_iou`](https://github.com/traveller59/second.pytorch/blob/e42e4a0e17262ab7d180ee96a0a36427f2c20a44/second/core/non_max_suppression/nms_gpu.py#L605) which is used in our KITTI dataset evaluation, is different from the official implemention in [KITTI benchmark](http://www.cvlibs.net/datasets/kitti/eval_object.php?obj_benchmark=3d).