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_BASE_: "../Base-RCNN-FPN.yaml"
MODEL:
WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl"
KEYPOINT_ON: True
RESNETS:
DEPTH: 50
ROI_HEADS:
NUM_CLASSES: 1
ROI_KEYPOINT_HEAD:
POOLER_RESOLUTION: 14
POOLER_SAMPLING_RATIO: 2
POOLER_TYPE: "ROIAlign"
# Detectron1 uses smooth L1 loss with some magic beta values.
# The defaults are changed to L1 loss in Detectron2.
ROI_BOX_HEAD:
SMOOTH_L1_BETA: 1.0
POOLER_SAMPLING_RATIO: 2
POOLER_TYPE: "ROIAlign"
RPN:
SMOOTH_L1_BETA: 0.1111
# 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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