mirror of https://github.com/open-mmlab/mmpose
67 lines
2.0 KiB
YAML
67 lines
2.0 KiB
YAML
Models:
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- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_scnet50_8xb64-210e_coco-256x192.py
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In Collection: SimpleBaseline2D
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Metadata:
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Architecture: &id001
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- SCNet
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Training Data: COCO
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Name: td-hm_scnet50_8xb64-210e_coco-256x192
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Results:
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- Dataset: COCO
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Metrics:
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AP: 0.728
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AP@0.5: 0.899
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AP@0.75: 0.807
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AR: 0.784
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AR@0.5: 0.938
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Task: Body 2D Keypoint
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Weights: https://download.openmmlab.com/mmpose/top_down/scnet/scnet50_coco_256x192-6920f829_20200709.pth
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- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_scnet50_8xb32-210e_coco-384x288.py
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In Collection: SimpleBaseline2D
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Metadata:
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Architecture: *id001
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Training Data: COCO
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Name: topdown_heatmap_scnet50_coco_384x288
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Results:
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- Dataset: COCO
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Metrics:
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AP: 0.751
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AP@0.5: 0.906
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AP@0.75: 0.818
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AR: 0.802
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AR@0.5: 0.942
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Task: Body 2D Keypoint
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Weights: https://download.openmmlab.com/mmpose/top_down/scnet/scnet50_coco_384x288-9cacd0ea_20200709.pth
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- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_scnet101_8xb32-210e_coco-256x192.py
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In Collection: SimpleBaseline2D
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Metadata:
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Architecture: *id001
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Training Data: COCO
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Name: td-hm_scnet101_8xb32-210e_coco-256x192
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Results:
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- Dataset: COCO
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Metrics:
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AP: 0.733
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AP@0.5: 0.902
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AP@0.75: 0.811
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AR: 0.789
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AR@0.5: 0.94
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Task: Body 2D Keypoint
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Weights: https://download.openmmlab.com/mmpose/top_down/scnet/scnet101_coco_256x192-6d348ef9_20200709.pth
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- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_scnet101_8xb48-210e_coco-384x288.py
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In Collection: SimpleBaseline2D
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Metadata:
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Architecture: *id001
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Training Data: COCO
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Name: td-hm_scnet101_8xb48-210e_coco-384x288
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Results:
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- Dataset: COCO
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Metrics:
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AP: 0.752
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AP@0.5: 0.906
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AP@0.75: 0.823
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AR: 0.804
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AR@0.5: 0.943
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Task: Body 2D Keypoint
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Weights: https://download.openmmlab.com/mmpose/top_down/scnet/scnet101_coco_384x288-0b6e631b_20200709.pth
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