mmpose/configs/body_2d_keypoint/topdown_heatmap/humanart/hrnet_humanart.yml

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YAML
Executable File

Collections:
- Name: HRNet
Paper:
Title: Deep high-resolution representation learning for human pose estimation
URL: http://openaccess.thecvf.com/content_CVPR_2019/html/Sun_Deep_High-Resolution_Representation_Learning_for_Human_Pose_Estimation_CVPR_2019_paper.html
README: https://github.com/open-mmlab/mmpose/blob/main/docs/src/papers/backbones/hrnet.md
Models:
- Config: configs/body_2d_keypoint/topdown_heatmap/humanart/td-hm_hrnet-w32_8xb64-210e_humanart-256x192.py
In Collection: HRNet
Metadata:
Architecture: &id001
- HRNet
Training Data: &id002
- COCO
- Human-Art
Name: td-hm_hrnet-w32_8xb64-210e_humanart-256x192
Results:
- Dataset: COCO
Metrics:
AP: 0.741
AP@0.5: 0.902
AP@0.75: 0.814
AR: 0.795
AR@0.5: 0.941
Task: Body 2D Keypoint
- Dataset: Human-Art
Metrics:
AP: 0.399
AP@0.5: 0.545
AP@0.75: 0.420
AR: 0.466
AR@0.5: 0.613
Task: Body 2D Keypoint
- Dataset: Human-Art(GT)
Metrics:
AP: 0.754
AP@0.5: 0.906
AP@0.75: 0.812
AR: 0.783
AR@0.5: 0.916
Task: Body 2D Keypoint
Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/human_art/td-hm_hrnet-w32_8xb64-210e_humanart-256x192-0773ef0b_20230614.pth
- Config: configs/body_2d_keypoint/topdown_heatmap/humanart/td-hm_hrnet-w48_8xb32-210e_humanart-256x192.py
In Collection: HRNet
Metadata:
Architecture: *id001
Training Data: *id002
Name: td-hm_hrnet-w48_8xb32-210e_humanart-256x192
Results:
- Dataset: COCO
Metrics:
AP: 0.751
AP@0.5: 0.905
AP@0.75: 0.822
AR: 0.805
AR@0.5: 0.943
Task: Body 2D Keypoint
- Dataset: Human-Art
Metrics:
AP: 0.417
AP@0.5: 0.553
AP@0.75: 0.442
AR: 0.481
AR@0.5: 0.617
Task: Body 2D Keypoint
- Dataset: Human-Art(GT)
Metrics:
AP: 0.769
AP@0.5: 0.906
AP@0.75: 0.825
AR: 0.796
AR@0.5: 0.919
Task: Body 2D Keypoint
Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/human_art/td-hm_hrnet-w48_8xb32-210e_humanart-256x192-05178983_20230614.pth