seresnet_coco.yml 3.1 KB

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  1. Models:
  2. - Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_seresnet50_8xb64-210e_coco-256x192.py
  3. In Collection: SimpleBaseline2D
  4. Metadata:
  5. Architecture: &id001
  6. - SEResNet
  7. Training Data: COCO
  8. Name: td-hm_seresnet50_8xb64-210e_coco-256x192
  9. Results:
  10. - Dataset: COCO
  11. Metrics:
  12. AP: 0.729
  13. AP@0.5: 0.903
  14. AP@0.75: 0.807
  15. AR: 0.784
  16. AR@0.5: 0.941
  17. Task: Body 2D Keypoint
  18. Weights: https://download.openmmlab.com/mmpose/top_down/seresnet/seresnet50_coco_256x192-25058b66_20200727.pth
  19. - Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_seresnet50_8xb64-210e_coco-384x288.py
  20. In Collection: SimpleBaseline2D
  21. Metadata:
  22. Architecture: *id001
  23. Training Data: COCO
  24. Name: td-hm_seresnet50_8xb64-210e_coco-384x288
  25. Results:
  26. - Dataset: COCO
  27. Metrics:
  28. AP: 0.748
  29. AP@0.5: 0.904
  30. AP@0.75: 0.819
  31. AR: 0.799
  32. AR@0.5: 0.941
  33. Task: Body 2D Keypoint
  34. Weights: https://download.openmmlab.com/mmpose/top_down/seresnet/seresnet50_coco_384x288-bc0b7680_20200727.pth
  35. - Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_seresnet101_8xb64-210e_coco-256x192.py
  36. In Collection: SimpleBaseline2D
  37. Metadata:
  38. Architecture: *id001
  39. Training Data: COCO
  40. Name: td-hm_seresnet101_8xb64-210e_coco-256x192
  41. Results:
  42. - Dataset: COCO
  43. Metrics:
  44. AP: 0.734
  45. AP@0.5: 0.905
  46. AP@0.75: 0.814
  47. AR: 0.79
  48. AR@0.5: 0.941
  49. Task: Body 2D Keypoint
  50. Weights: https://download.openmmlab.com/mmpose/top_down/seresnet/seresnet101_coco_256x192-83f29c4d_20200727.pth
  51. - Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_seresnet101_8xb32-210e_coco-384x288.py
  52. In Collection: SimpleBaseline2D
  53. Metadata:
  54. Architecture: *id001
  55. Training Data: COCO
  56. Name: td-hm_seresnet101_8xb32-210e_coco-384x288
  57. Results:
  58. - Dataset: COCO
  59. Metrics:
  60. AP: 0.754
  61. AP@0.5: 0.907
  62. AP@0.75: 0.823
  63. AR: 0.805
  64. AR@0.5: 0.943
  65. Task: Body 2D Keypoint
  66. Weights: https://download.openmmlab.com/mmpose/top_down/seresnet/seresnet101_coco_384x288-48de1709_20200727.pth
  67. - Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_seresnet152_8xb32-210e_coco-256x192.py
  68. In Collection: SimpleBaseline2D
  69. Metadata:
  70. Architecture: *id001
  71. Training Data: COCO
  72. Name: td-hm_seresnet152_8xb32-210e_coco-256x192
  73. Results:
  74. - Dataset: COCO
  75. Metrics:
  76. AP: 0.73
  77. AP@0.5: 0.899
  78. AP@0.75: 0.81
  79. AR: 0.787
  80. AR@0.5: 0.939
  81. Task: Body 2D Keypoint
  82. Weights: https://download.openmmlab.com/mmpose/top_down/seresnet/seresnet152_coco_256x192-1c628d79_20200727.pth
  83. - Config: configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_seresnet152_8xb48-210e_coco-384x288.py
  84. In Collection: SimpleBaseline2D
  85. Metadata:
  86. Architecture: *id001
  87. Training Data: COCO
  88. Name: td-hm_seresnet152_8xb48-210e_coco-384x288
  89. Results:
  90. - Dataset: COCO
  91. Metrics:
  92. AP: 0.753
  93. AP@0.5: 0.906
  94. AP@0.75: 0.824
  95. AR: 0.806
  96. AR@0.5: 0.945
  97. Task: Body 2D Keypoint
  98. Weights: https://download.openmmlab.com/mmpose/top_down/seresnet/seresnet152_coco_384x288-58b23ee8_20200727.pth