preprocess/humanparsing/mhp_extension/detectron2/configs/COCO-Keypoints/Base-Keypoint-RCNN-FPN.yaml

_BASE_: "../Base-RCNN-FPN.yaml"
MODEL:
  KEYPOINT_ON: True
  ROI_HEADS:
    NUM_CLASSES: 1
  ROI_BOX_HEAD:
    SMOOTH_L1_BETA: 0.5  # Keypoint AP degrades (though box AP improves) when using plain L1 loss
  RPN:
    # Detectron1 uses 2000 proposals per-batch, but this option is per-image in detectron2.
    # 1000 proposals per-image is found to hurt box AP.
    # Therefore we increase it to 1500 per-image.
    POST_NMS_TOPK_TRAIN: 1500
DATASETS:
  TRAIN: ("keypoints_coco_2017_train",)
  TEST: ("keypoints_coco_2017_val",)