mmpose/configs/body_2d_keypoint/dekr/coco/hrnet_coco.yml

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YAML

Collections:
- Name: DEKR
Paper:
Title: Bottom-up human pose estimation via disentangled keypoint regression
URL: https://arxiv.org/abs/2104.02300
README: https://github.com/open-mmlab/mmpose/blob/main/docs/src/papers/algorithms/dekr.md
Models:
- Config: configs/body_2d_keypoint/dekr/coco/dekr_hrnet-w32_8xb10-140e_coco-512x512.py
In Collection: DEKR
Metadata:
Architecture: &id001
- DEKR
- HRNet
Training Data: COCO
Name: dekr_hrnet-w32_8xb10-140e_coco-512x512
Results:
- Dataset: COCO
Metrics:
AP: 0.686
AP@0.5: 0.868
AP@0.75: 0.750
AR: 0.735
AR@0.5: 0.898
Task: Body 2D Keypoint
Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/dekr/coco/dekr_hrnet-w32_8xb10-140e_coco-512x512_ac7c17bf-20221228.pth
- Config: configs/body_2d_keypoint/dekr/coco/dekr_hrnet-w48_8xb10-140e_coco-640x640.py
In Collection: DEKR
Metadata:
Architecture: *id001
Training Data: COCO
Name: dekr_hrnet-w48_8xb10-140e_coco-640x640
Results:
- Dataset: COCO
Metrics:
AP: 0.714
AP@0.5: 0.883
AP@0.75: 0.777
AR: 0.762
AR@0.5: 0.915
Task: Body 2D Keypoint
Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/dekr/coco/dekr_hrnet-w48_8xb10-140e_coco-640x640_74796c32-20230124.pth