configs/DensePose_ResNet50_FPN_s1x.yaml [30:78]:
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FPN:
  FPN_ON: True
  MULTILEVEL_ROIS: True
  MULTILEVEL_RPN: True
FAST_RCNN:
  ROI_BOX_HEAD: fast_rcnn_heads.add_roi_2mlp_head
  ROI_XFORM_METHOD: RoIAlign
  ROI_XFORM_RESOLUTION: 7
  ROI_XFORM_SAMPLING_RATIO: 2
BODY_UV_RCNN:
  ROI_HEAD: body_uv_rcnn_heads.add_roi_body_uv_head_v1convX
  NUM_STACKED_CONVS: 8
  NUM_PATCHES: 24
  USE_DECONV_OUTPUT: True
  CONV_INIT: MSRAFill
  CONV_HEAD_DIM: 512
  UP_SCALE: 2
  HEATMAP_SIZE: 56
  ROI_XFORM_METHOD: RoIAlign
  ROI_XFORM_RESOLUTION: 14
  ROI_XFORM_SAMPLING_RATIO: 2
  ##
  # Loss weights for annotation masks.(14 Parts)
  INDEX_WEIGHTS : 2.0
  # Loss weights for surface parts. (24 Parts)  
  PART_WEIGHTS : 0.3
  # Loss weights for UV regression.
  POINT_REGRESSION_WEIGHTS : 0.1
  ##
  BODY_UV_IMS: True 
TRAIN:
  WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl
  DATASETS: ('dense_coco_2014_train', 'dense_coco_2014_valminusminival')
  PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/densepose/DensePose-RPN-train_fpn_resnet50.pkl','https://dl.fbaipublicfiles.com/densepose/DensePose-RPN-valminusminival_fpn_resnet50.pkl')
  SCALES: (640, 672, 704, 736, 768, 800)
  MAX_SIZE: 1333
  IMS_PER_BATCH: 3
  BATCH_SIZE_PER_IM: 512
  USE_FLIPPED: True
TEST:
  DATASETS: ('dense_coco_2014_minival',)
  PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/densepose/DensePose-RPN-minival_fpn_resnet50.pkl',)
  PROPOSAL_LIMIT: 1000
  SCALE: 800
  MAX_SIZE: 1333
  NMS: 0.5
  FORCE_JSON_DATASET_EVAL: True
  DETECTIONS_PER_IM: 20
OUTPUT_DIR: ''
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configs/DensePose_ResNet50_FPN_single_GPU.yaml [30:78]:
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FPN:
  FPN_ON: True
  MULTILEVEL_ROIS: True
  MULTILEVEL_RPN: True
FAST_RCNN:
  ROI_BOX_HEAD: fast_rcnn_heads.add_roi_2mlp_head
  ROI_XFORM_METHOD: RoIAlign
  ROI_XFORM_RESOLUTION: 7
  ROI_XFORM_SAMPLING_RATIO: 2
BODY_UV_RCNN:
  ROI_HEAD: body_uv_rcnn_heads.add_roi_body_uv_head_v1convX
  NUM_STACKED_CONVS: 8
  NUM_PATCHES: 24
  USE_DECONV_OUTPUT: True
  CONV_INIT: MSRAFill
  CONV_HEAD_DIM: 512
  UP_SCALE: 2
  HEATMAP_SIZE: 56
  ROI_XFORM_METHOD: RoIAlign
  ROI_XFORM_RESOLUTION: 14
  ROI_XFORM_SAMPLING_RATIO: 2
  ##
  # Loss weights for annotation masks.(14 Parts)
  INDEX_WEIGHTS : 2.0
  # Loss weights for surface parts. (24 Parts)  
  PART_WEIGHTS : 0.3
  # Loss weights for UV regression.
  POINT_REGRESSION_WEIGHTS : 0.1
  ##
  BODY_UV_IMS: True 
TRAIN:
  WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl
  DATASETS: ('dense_coco_2014_train', 'dense_coco_2014_valminusminival')
  PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/densepose/DensePose-RPN-train_fpn_resnet50.pkl','https://dl.fbaipublicfiles.com/densepose/DensePose-RPN-valminusminival_fpn_resnet50.pkl')
  SCALES: (640, 672, 704, 736, 768, 800)
  MAX_SIZE: 1333
  IMS_PER_BATCH: 3
  BATCH_SIZE_PER_IM: 512
  USE_FLIPPED: True
TEST:
  DATASETS: ('dense_coco_2014_minival',)
  PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/densepose/DensePose-RPN-minival_fpn_resnet50.pkl',)
  PROPOSAL_LIMIT: 1000
  SCALE: 800
  MAX_SIZE: 1333
  NMS: 0.5
  FORCE_JSON_DATASET_EVAL: True
  DETECTIONS_PER_IM: 20
OUTPUT_DIR: ''
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