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[Fix] modify yoloxpose test settings #2706

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Sep 19, 2023
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[Fix] modify yoloxpose test settings #2706

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8 changes: 4 additions & 4 deletions configs/body_2d_keypoint/yoloxpose/coco/yoloxpose_coco.md
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Expand Up @@ -53,7 +53,7 @@ Results on COCO val2017 with detector having human AP of 56.4 on COCO val2017 da

| Arch | Input Size | AP | AP<sup>50</sup> | AP<sup>75</sup> | AR | AR<sup>50</sup> | ckpt | log |
| :-------------------------------------------- | :--------: | :---: | :-------------: | :-------------: | :---: | :-------------: | :-------------------------------------------: | :-------------------------------------------: |
| [yoloxpose_tiny](/configs/body_2d_keypoint/yoloxpose/coco/yoloxpose_tiny_4xb64-300e_coco-416.py) | 416x416 | 0.527 | 0.794 | 0.557 | 0.577 | 0.843 | [ckpt](https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/yolox_pose/yoloxpose_tiny_4xb64-300e_coco-416-76eb44ca_20230829.pth) | [log](https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/yolox_pose/yoloxpose_tiny_4xb64-300e_coco-416-20230829.json) |
| [yoloxpose_s](/configs/body_2d_keypoint/yoloxpose/coco/yoloxpose_s_8xb32-300e_coco-640.py) | 640x640 | 0.642 | 0.873 | 0.702 | 0.688 | 0.912 | [ckpt](https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/yolox_pose/yoloxpose_s_8xb32-300e_coco-640-56c79c1f_20230829.pth) | [log](https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/yolox_pose/yoloxpose_s_8xb32-300e_coco-640-20230829.json) |
| [yoloxpose_m](/configs/body_2d_keypoint/yoloxpose/coco/yoloxpose_m_8xb32-300e_coco-640.py) | 640x640 | 0.697 | 0.903 | 0.766 | 0.739 | 0.933 | [ckpt](https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/yolox_pose/yoloxpose_m_8xb32-300e_coco-640-84e9a538_20230829.pth) | [log](https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/yolox_pose/yoloxpose_m_8xb32-300e_coco-640-20230829.json) |
| [yoloxpose_l](/configs/body_2d_keypoint/yoloxpose/coco/yoloxpose_l_8xb32-300e_coco-640.py) | 640x640 | 0.714 | 0.906 | 0.785 | 0.756 | 0.934 | [ckpt](https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/yolox_pose/yoloxpose_l_8xb32-300e_coco-640-de0f8dee_20230829.pth) | [log](https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/yolox_pose/yoloxpose_l_8xb32-300e_coco-640-20230829.json) |
| [yoloxpose_tiny](/configs/body_2d_keypoint/yoloxpose/coco/yoloxpose_tiny_4xb64-300e_coco-416.py) | 416x416 | 0.526 | 0.793 | 0.556 | 0.571 | 0.833 | [ckpt](https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/yolox_pose/yoloxpose_tiny_4xb64-300e_coco-416-76eb44ca_20230829.pth) | [log](https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/yolox_pose/yoloxpose_tiny_4xb64-300e_coco-416-20230829.json) |
| [yoloxpose_s](/configs/body_2d_keypoint/yoloxpose/coco/yoloxpose_s_8xb32-300e_coco-640.py) | 640x640 | 0.641 | 0.872 | 0.702 | 0.682 | 0.902 | [ckpt](https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/yolox_pose/yoloxpose_s_8xb32-300e_coco-640-56c79c1f_20230829.pth) | [log](https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/yolox_pose/yoloxpose_s_8xb32-300e_coco-640-20230829.json) |
| [yoloxpose_m](/configs/body_2d_keypoint/yoloxpose/coco/yoloxpose_m_8xb32-300e_coco-640.py) | 640x640 | 0.695 | 0.899 | 0.766 | 0.733 | 0.926 | [ckpt](https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/yolox_pose/yoloxpose_m_8xb32-300e_coco-640-84e9a538_20230829.pth) | [log](https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/yolox_pose/yoloxpose_m_8xb32-300e_coco-640-20230829.json) |
| [yoloxpose_l](/configs/body_2d_keypoint/yoloxpose/coco/yoloxpose_l_8xb32-300e_coco-640.py) | 640x640 | 0.712 | 0.901 | 0.782 | 0.749 | 0.926 | [ckpt](https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/yolox_pose/yoloxpose_l_8xb32-300e_coco-640-de0f8dee_20230829.pth) | [log](https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/yolox_pose/yoloxpose_l_8xb32-300e_coco-640-20230829.json) |
36 changes: 18 additions & 18 deletions configs/body_2d_keypoint/yoloxpose/coco/yoloxpose_coco.yml
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Expand Up @@ -15,11 +15,11 @@ Models:
Results:
- Dataset: COCO
Metrics:
AP: 0.527
[email protected]: 0.794
[email protected]: 0.557
AR: 0.577
[email protected]: 0.843
AP: 0.526
[email protected]: 0.793
[email protected]: 0.556
AR: 0.571
[email protected]: 0.833
Task: Body 2D Keypoint
Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/yolox_pose/yoloxpose_tiny_4xb64-300e_coco-416-76eb44ca_20230829.pth
- Config: configs/body_2d_keypoint/yoloxpose/coco/yoloxpose_s_8xb32-300e_coco-640.py
Expand All @@ -31,11 +31,11 @@ Models:
Results:
- Dataset: COCO
Metrics:
AP: 0.642
[email protected]: 0.873
AP: 0.641
[email protected]: 0.872
[email protected]: 0.702
AR: 0.688
[email protected]: 0.912
AR: 0.682
[email protected]: 0.902
Task: Body 2D Keypoint
Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/yolox_pose/yoloxpose_s_8xb32-300e_coco-640-56c79c1f_20230829.pth
- Config: configs/body_2d_keypoint/yoloxpose/coco/yoloxpose_m_8xb32-300e_coco-640.py
Expand All @@ -47,11 +47,11 @@ Models:
Results:
- Dataset: COCO
Metrics:
AP: 0.697
[email protected]: 0.903
AP: 0.695
[email protected]: 0.899
[email protected]: 0.766
AR: 0.739
[email protected]: 0.933
AR: 0.733
[email protected]: 0.926
Task: Body 2D Keypoint
Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/yolox_pose/yoloxpose_m_8xb32-300e_coco-640-84e9a538_20230829.pth
- Config: configs/body_2d_keypoint/yoloxpose/coco/yoloxpose_l_8xb32-300e_coco-640.py
Expand All @@ -63,10 +63,10 @@ Models:
Results:
- Dataset: COCO
Metrics:
AP: 0.714
[email protected]: 0.906
[email protected]: 0.785
AR: 0.756
[email protected]: 0.934
AP: 0.712
[email protected]: 0.901
[email protected]: 0.782
AR: 0.749
[email protected]: 0.926
Task: Body 2D Keypoint
Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/yolox_pose/yoloxpose_l_8xb32-300e_coco-640-de0f8dee_20230829.pth
2 changes: 1 addition & 1 deletion configs/body_2d_keypoint/yoloxpose/coco/yoloxpose_l_8xb32-300e_coco-640.py
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@@ -1,4 +1,4 @@
_base_ = './yolopose_s_8xb32-300e_coco-640.py'
_base_ = './yoloxpose_s_8xb32-300e_coco-640.py'

widen_factor = 1
deepen_factor = 1
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2 changes: 1 addition & 1 deletion configs/body_2d_keypoint/yoloxpose/coco/yoloxpose_m_8xb32-300e_coco-640.py
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@@ -1,4 +1,4 @@
_base_ = './yolopose_s_8xb32-300e_coco-640.py'
_base_ = './yoloxpose_s_8xb32-300e_coco-640.py'

widen_factor = 0.75
deepen_factor = 0.67
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2 changes: 1 addition & 1 deletion configs/body_2d_keypoint/yoloxpose/coco/yoloxpose_s_8xb32-300e_coco-640.py
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Expand Up @@ -132,7 +132,7 @@
loss_bbox_aux=dict(type='L1Loss', reduction='sum', loss_weight=1.0),
),
test_cfg=dict(
score_thr=0.001,
score_thr=0.01,
nms_thr=0.65,
))

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2 changes: 1 addition & 1 deletion configs/body_2d_keypoint/yoloxpose/coco/yoloxpose_tiny_4xb64-300e_coco-416.py
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@@ -1,4 +1,4 @@
_base_ = './yolopose_s_8xb32-300e_coco-640.py'
_base_ = './yoloxpose_s_8xb32-300e_coco-640.py'

# model settings
widen_factor = 0.375
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2 changes: 1 addition & 1 deletion mmpose/evaluation/functional/nms.py
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Expand Up @@ -356,7 +356,7 @@ def nms_torch(bboxes: Tensor,
idx, indices = indices[0], indices[1:]
bbox = bboxes[idx]
ious = iou_calculator(bbox, bboxes[indices])
close_indices = torch.where(ious > threshold)[0]
close_indices = torch.where(ious > threshold)[1]
keep_indices = torch.ones_like(indices, dtype=torch.bool)
keep_indices[close_indices] = 0
groups.append(torch.cat((idx[None], indices[close_indices])))
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