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_BASE_: "cascade_mask_rcnn_X_152_32x8d_FPN_IN5k_gn_dconv.yaml"
MODEL:
MASK_ON: True
WEIGHTS: "./finetune_ouput/model_final.pth"
ROI_HEADS:
NMS_THRESH_TEST: 0.95
SCORE_THRESH_TEST: 0.5
NUM_CLASSES: 1
SOLVER:
IMS_PER_BATCH: 1
STEPS: (30000, 45000)
MAX_ITER: 50000
BASE_LR: 0.02
INPUT:
MIN_SIZE_TRAIN: (640, 864)
MIN_SIZE_TRAIN_SAMPLING: "range"
MAX_SIZE_TRAIN: 1440
CROP:
ENABLED: True
TEST:
AUG:
ENABLED: True
DATASETS:
TRAIN: ("CIHP_trainval",)
TEST: ("CIHP_test",)
OUTPUT_DIR: "./inference_output"
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