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MODEL:
META_ARCHITECTURE: "GeneralizedRCNN"
BACKBONE:
NAME: "build_trident_resnet_backbone"
ROI_HEADS:
NAME: "TridentRes5ROIHeads"
POSITIVE_FRACTION: 0.5
BATCH_SIZE_PER_IMAGE: 128
PROPOSAL_APPEND_GT: False
PROPOSAL_GENERATOR:
NAME: "TridentRPN"
RPN:
POST_NMS_TOPK_TRAIN: 500
TRIDENT:
NUM_BRANCH: 3
BRANCH_DILATIONS: [1, 2, 3]
TEST_BRANCH_IDX: 1
TRIDENT_STAGE: "res4"
DATASETS:
TRAIN: ("coco_2017_train",)
TEST: ("coco_2017_val",)
SOLVER:
IMS_PER_BATCH: 16
BASE_LR: 0.02
STEPS: (60000, 80000)
MAX_ITER: 90000
INPUT:
MIN_SIZE_TRAIN: (640, 672, 704, 736, 768, 800)
VERSION: 2
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