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# 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
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