mmpose/configs/animal_2d_keypoint/topdown_heatmap/ap10k/hrnet_ap10k.yml

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1.0 KiB
YAML

Models:
- Config: configs/animal_2d_keypoint/topdown_heatmap/ap10k/td-hm_hrnet-w32_8xb64-210e_ap10k-256x256.py
In Collection: HRNet
Metadata:
Architecture: &id001
- HRNet
Training Data: AP-10K
Name: td-hm_hrnet-w32_8xb64-210e_ap10k-256x256
Results:
- Dataset: AP-10K
Metrics:
AP: 0.722
AP@0.5: 0.935
AP@0.75: 0.789
AP (L): 0.729
AP (M): 0.557
Task: Animal 2D Keypoint
Weights: https://download.openmmlab.com/mmpose/animal/hrnet/hrnet_w32_ap10k_256x256-18aac840_20211029.pth
- Config: configs/animal_2d_keypoint/topdown_heatmap/ap10k/td-hm_hrnet-w48_8xb64-210e_ap10k-256x256.py
In Collection: HRNet
Metadata:
Architecture: *id001
Training Data: AP-10K
Name: td-hm_hrnet-w48_8xb64-210e_ap10k-256x256
Results:
- Dataset: AP-10K
Metrics:
AP: 0.728
AP@0.5: 0.936
AP@0.75: 0.802
AP (L): 0.735
AP (M): 0.577
Task: Animal 2D Keypoint
Weights: https://download.openmmlab.com/mmpose/animal/hrnet/hrnet_w48_ap10k_256x256-d95ab412_20211029.pth