configs/densepose_rcnn_R_50_FPN_s1x_legacy.yaml

_BASE_: "Base-DensePose-RCNN-FPN.yaml"
MODEL:
  WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl"
  RESNETS:
    DEPTH: 50
  ROI_DENSEPOSE_HEAD:
    NUM_COARSE_SEGM_CHANNELS: 15
    POOLER_RESOLUTION: 14
    HEATMAP_SIZE: 56
    INDEX_WEIGHTS: 2.0
    PART_WEIGHTS: 0.3
    POINT_REGRESSION_WEIGHTS: 0.1
    DECODER_ON: False
SOLVER:
  BASE_LR: 0.002
  MAX_ITER: 130000
  STEPS: (100000, 120000)