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_BASE_: "Base.yaml"
MODEL:
TRAIN_TASK: ["ObjectDet"]
TEST_TASK: "ObjectDet"
MASK_ON: True
ROI_HEADS:
SOFT_NMS_ENABLED: True
BEAM_SIZE: 3
WEIGHTS: "detectron2://ImageNetPretrained/MAE/mae_pretrain_vit_huge_p14to16.pth"
BACKBONE:
NAME: build_vit_fpn_backbone_huge
VIT_LAYERS: 32
SOLVER:
MAX_ITER: 135000
VIT_LAYER_DECAY_RATE: 0.9
DATASETS:
TRAIN: ("GRiT_coco2017_train",)
TEST: ("coco_2017_val",)
DATALOADER:
DATASET_BS: 1
OUTPUT_DIR: "./output/GRiT_H_ObjectDet" |