Unverified Commit 6582c5e0 authored by xiliu8006's avatar xiliu8006 Committed by GitHub
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[Enhance] Add 3dssd checkpoint (#359)

* add 3dssd model and log link

* add kitti devkit evaluation result

* update perfermance

* update perfermance

* modify perfermance
parent 27dacf66
......@@ -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).
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