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_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",)
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