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Models:
David Feaster
DavidFeaster/
Surgical-Bleeding-AMAGI
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[6d389a]: / configs / skeleton / 2s-agcn / metafile.yml

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Collections:

- Name: AGCN

  README: configs/skeleton/2s-agcn/README.md

Models:

- Config: configs/skeleton/2s-agcn/2sagcn_80e_ntu60_xsub_keypoint_3d.py

  In Collection: AGCN

  Metadata:

    Architecture: AGCN

    Batch Size: 24

    Epochs: 80

    Parameters: 3472176

    Training Data: NTU60-XSub

    Training Resources: 1 GPU

  Name: agcn_80e_ntu60_xsub_keypoint_3d

  Results:

    Dataset: NTU60-XSub

    Metrics:

      Top 1 Accuracy: 86.06

    Task: Skeleton-based Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/skeleton/2s-agcn/2sagcn_80e_ntu60_xsub_keypoint_3d/2sagcn_80e_ntu60_xsub_keypoint_3d.json

  Training Log: https://download.openmmlab.com/mmaction/skeleton/2s-agcn/2sagcn_80e_ntu60_xsub_keypoint_3d/2sagcn_80e_ntu60_xsub_keypoint_3d.log

  Weights: https://download.openmmlab.com/mmaction/skeleton/2s-agcn/2sagcn_80e_ntu60_xsub_keypoint_3d/2sagcn_80e_ntu60_xsub_keypoint_3d-3bed61ba.pth

- Config: configs/skeleton/2s-agcn/2sagcn_80e_ntu60_xsub_bone_3d.py

  In Collection: AGCN

  Metadata:

    Architecture: AGCN

    Batch Size: 24

    Epochs: 80

    Parameters: 3472176

    Training Data: NTU60-XSub

    Training Resources: 2 GPU

  Name: agcn_80e_ntu60_xsub_bone_3d

  Results:

    Dataset: NTU60-XSub

    Metrics:

      Top 1 Accuracy: 86.89

    Task: Skeleton-based Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/skeleton/2s-agcn/2sagcn_80e_ntu60_xsub_bone_3d/2sagcn_80e_ntu60_xsub_bone_3d.json

  Training Log: https://download.openmmlab.com/mmaction/skeleton/2s-agcn/2sagcn_80e_ntu60_xsub_bone_3d/2sagcn_80e_ntu60_xsub_bone_3d.log

  Weights: https://download.openmmlab.com/mmaction/skeleton/2s-agcn/2sagcn_80e_ntu60_xsub_bone_3d/2sagcn_80e_ntu60_xsub_bone_3d-278b8815.pth