Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[Fix] modify yoloxpose test settings #2706

Merged
merged 1 commit into from
Sep 19, 2023
Merged

[Fix] modify yoloxpose test settings #2706

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
8 changes: 4 additions & 4 deletions configs/body_2d_keypoint/yoloxpose/coco/yoloxpose_coco.md
View file
Open in desktop
Original file line number Diff line number Diff line change
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
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -15,11 +15,11 @@ Models:
Results:
- Dataset: COCO
Metrics:
AP: 0.527
AP@0.5: 0.794
AP@0.75: 0.557
AR: 0.577
AR@0.5: 0.843
AP: 0.526
AP@0.5: 0.793
AP@0.75: 0.556
AR: 0.571
AR@0.5: 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
AP@0.5: 0.873
AP: 0.641
AP@0.5: 0.872
AP@0.75: 0.702
AR: 0.688
AR@0.5: 0.912
AR: 0.682
AR@0.5: 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
AP@0.5: 0.903
AP: 0.695
AP@0.5: 0.899
AP@0.75: 0.766
AR: 0.739
AR@0.5: 0.933
AR: 0.733
AR@0.5: 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
AP@0.5: 0.906
AP@0.75: 0.785
AR: 0.756
AR@0.5: 0.934
AP: 0.712
AP@0.5: 0.901
AP@0.75: 0.782
AR: 0.749
AR@0.5: 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
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -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
Expand Down
2 changes: 1 addition & 1 deletion configs/body_2d_keypoint/yoloxpose/coco/yoloxpose_m_8xb32-300e_coco-640.py
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -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
Expand Down
2 changes: 1 addition & 1 deletion configs/body_2d_keypoint/yoloxpose/coco/yoloxpose_s_8xb32-300e_coco-640.py
View file
Open in desktop
Original file line number Diff line number Diff line change
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,
))

Expand Down
2 changes: 1 addition & 1 deletion configs/body_2d_keypoint/yoloxpose/coco/yoloxpose_tiny_4xb64-300e_coco-416.py
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -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
Expand Down
2 changes: 1 addition & 1 deletion mmpose/evaluation/functional/nms.py
View file
Open in desktop
Original file line number Diff line number Diff line change
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])))
Expand Down