# A large PanopticFPN for demo purposes.
# Use GN on backbone to support semantic seg.
# Use Cascade + Deform Conv to improve localization.
_BASE_: "../COCO-PanopticSegmentation/Base-Panoptic-FPN.yaml"
MODEL:
  WEIGHTS: "catalog://ImageNetPretrained/FAIR/R-101-GN"
  RESNETS:
    DEPTH: 101
    NORM: "GN"
    DEFORM_ON_PER_STAGE: [False, True, True, True]
    STRIDE_IN_1X1: False
  FPN:
    NORM: "GN"
  ROI_HEADS:
    NAME: CascadeROIHeads
  ROI_BOX_HEAD:
    CLS_AGNOSTIC_BBOX_REG: True
  ROI_MASK_HEAD:
    NORM: "GN"
  RPN:
    POST_NMS_TOPK_TRAIN: 2000
SOLVER:
  STEPS: (105000, 125000)
  MAX_ITER: 135000
  IMS_PER_BATCH: 32
  BASE_LR: 0.04