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

Collections:
- Name: ViTPose
  Paper:
    Title: 'ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation'
    URL: https://arxiv.org/abs/2204.12484
  README: https://github.com/open-mmlab/mmpose/blob/main/docs/src/papers/algorithms/vitpose.md
  Metadata:
    Training Resources: 8x A100 GPUs
Models:
- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_ViTPose-small_8xb64-210e_coco-256x192.py
  In Collection: ViTPose
  Metadata:
    Architecture: &id001
    - ViTPose
    - Classic Head
    Model Size: Small
    Training Data: COCO
  Name: td-hm_ViTPose-small_8xb64-210e_coco-256x192
  Results:
  - Dataset: COCO
    Metrics:
      AP: 0.739
      AP@0.5: 0.903
      AP@0.75: 0.816
      AR: 0.792
      AR@0.5: 0.942
    Task: Body 2D Keypoint
  Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_ViTPose-small_8xb64-210e_coco-256x192-62d7a712_20230314.pth
- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_ViTPose-base_8xb64-210e_coco-256x192.py
  In Collection: ViTPose
  Metadata:
    Architecture: *id001
    Model Size: Base
    Training Data: COCO
  Name: td-hm_ViTPose-base_8xb64-210e_coco-256x192
  Results:
  - Dataset: COCO
    Metrics:
      AP: 0.757
      AP@0.5: 0.905
      AP@0.75: 0.829
      AR: 0.81
      AR@0.5: 0.946
    Task: Body 2D Keypoint
  Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_ViTPose-base_8xb64-210e_coco-256x192-216eae50_20230314.pth
- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_ViTPose-large_8xb64-210e_coco-256x192.py
  In Collection: ViTPose
  Metadata:
    Architecture: *id001
    Model Size: Large
    Training Data: COCO
  Name: td-hm_ViTPose-large_8xb64-210e_coco-256x192
  Results:
  - Dataset: COCO
    Metrics:
      AP: 0.782
      AP@0.5: 0.914
      AP@0.75: 0.850
      AR: 0.834
      AR@0.5: 0.952
    Task: Body 2D Keypoint
  Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_ViTPose-large_8xb64-210e_coco-256x192-53609f55_20230314.pth
- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_ViTPose-huge_8xb64-210e_coco-256x192.py
  In Collection: ViTPose
  Metadata:
    Architecture: *id001
    Model Size: Huge
    Training Data: COCO
  Name: td-hm_ViTPose-huge_8xb64-210e_coco-256x192
  Results:
  - Dataset: COCO
    Metrics:
      AP: 0.788
      AP@0.5: 0.917
      AP@0.75: 0.855
      AR: 0.839
      AR@0.5: 0.954
    Task: Body 2D Keypoint
  Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_ViTPose-huge_8xb64-210e_coco-256x192-e32adcd4_20230314.pth
- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_ViTPose-small-simple_8xb64-210e_coco-256x192.py
  In Collection: ViTPose
  Alias: vitpose-s
  Metadata:
    Architecture: &id002
    - ViTPose
    - Simple Head
    Model Size: Small
    Training Data: COCO
  Name: td-hm_ViTPose-small-simple_8xb64-210e_coco-256x192
  Results:
  - Dataset: COCO
    Metrics:
      AP: 0.736
      AP@0.5: 0.900
      AP@0.75: 0.811
      AR: 0.790
      AR@0.5: 0.940
    Task: Body 2D Keypoint
  Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_ViTPose-small-simple_8xb64-210e_coco-256x192-4c101a76_20230314.pth
- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_ViTPose-base-simple_8xb64-210e_coco-256x192.py
  In Collection: ViTPose
  Alias:
  - vitpose
  - vitpose-b
  Metadata:
    Architecture: *id002
    Model Size: Base
    Training Data: COCO
  Name: td-hm_ViTPose-base-simple_8xb64-210e_coco-256x192
  Results:
  - Dataset: COCO
    Metrics:
      AP: 0.756
      AP@0.5: 0.906
      AP@0.75: 0.826
      AR: 0.809
      AR@0.5: 0.946
    Task: Body 2D Keypoint
  Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_ViTPose-base-simple_8xb64-210e_coco-256x192-0b8234ea_20230407.pth
- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_ViTPose-large-simple_8xb64-210e_coco-256x192.py
  In Collection: ViTPose
  Alias: vitpose-l
  Metadata:
    Architecture: *id002
    Model Size: Large
    Training Data: COCO
  Name: td-hm_ViTPose-large-simple_8xb64-210e_coco-256x192
  Results:
  - Dataset: COCO
    Metrics:
      AP: 0.781
      AP@0.5: 0.914
      AP@0.75: 0.853
      AR: 0.833
      AR@0.5: 0.952
    Task: Body 2D Keypoint
  Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_ViTPose-large-simple_8xb64-210e_coco-256x192-3a7ee9e1_20230314.pth
- Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_ViTPose-huge-simple_8xb64-210e_coco-256x192.py
  In Collection: ViTPose
  Alias: vitpose-h
  Metadata:
    Architecture: *id002
    Model Size: Huge
    Training Data: COCO
  Name: td-hm_ViTPose-huge-simple_8xb64-210e_coco-256x192
  Results:
  - Dataset: COCO
    Metrics:
      AP: 0.789
      AP@0.5: 0.916
      AP@0.75: 0.856
      AR: 0.839
      AR@0.5: 0.953
    Task: Body 2D Keypoint
  Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/topdown_heatmap/coco/td-hm_ViTPose-huge-simple_8xb64-210e_coco-256x192-ffd48c05_20230314.pth