mmpose/configs/body_2d_keypoint/topdown_heatmap/coco/hourglass_coco.yml

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1.3 KiB
YAML

Collections:
- Name: Hourglass
Paper:
Title: Stacked hourglass networks for human pose estimation
URL: https://link.springer.com/chapter/10.1007/978-3-319-46484-8_29
README: https://github.com/open-mmlab/mmpose/blob/main/docs/src/papers/backbones/hourglass.md
Models:
- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_hourglass52_8xb32-210e_coco-256x256.py
In Collection: Hourglass
Metadata:
Architecture: &id001
- Hourglass
Training Data: COCO
Name: td-hm_hourglass52_8xb32-210e_coco-256x256
Results:
- Dataset: COCO
Metrics:
AP: 0.726
AP@0.5: 0.896
AP@0.75: 0.799
AR: 0.780
AR@0.5: 0.934
Task: Body 2D Keypoint
Weights: https://download.openmmlab.com/mmpose/top_down/hourglass/hourglass52_coco_256x256-4ec713ba_20200709.pth
- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_hourglass52_8xb32-210e_coco-384x384.py
In Collection: Hourglass
Metadata:
Architecture: *id001
Training Data: COCO
Name: td-hm_hourglass52_8xb32-210e_coco-384x384
Results:
- Dataset: COCO
Metrics:
AP: 0.746
AP@0.5: 0.900
AP@0.75: 0.812
AR: 0.797
AR@0.5: 0.939
Task: Body 2D Keypoint
Weights: https://download.openmmlab.com/mmpose/top_down/hourglass/hourglass52_coco_384x384-be91ba2b_20200812.pth