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_BASE_: "Base-RCNN-FPN.yaml" | |
MODEL: | |
META_ARCHITECTURE: "GeneralizedRCNN" | |
WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl" | |
# WEIGHTS: "./data/VOC-Detection/faster-rcnn/faster_rcnn_R_50_FPN_all_logistic/random_seed_0/model_final.pth" | |
# PROPOSAL_GENERATOR: | |
# NAME: "RPNLogistic" | |
MASK_ON: False | |
RESNETS: | |
DEPTH: 50 | |
ROI_HEADS: | |
NAME: "StandardROIHeads" | |
NUM_CLASSES: 10 | |
INPUT: | |
MIN_SIZE_TRAIN: (480, 512, 544, 576, 608, 640, 672, 704, 736, 768, 800) | |
MIN_SIZE_TEST: 800 | |
DATASETS: | |
TRAIN: ('bdd_custom_train',) | |
TEST: ('bdd_custom_val',) | |
SOLVER: | |
IMS_PER_BATCH: 16 | |
BASE_LR: 0.02 | |
STEPS: (60000, 80000) | |
MAX_ITER: 90000 # 17.4 epochs | |
WARMUP_ITERS: 100 | |
DATALOADER: | |
NUM_WORKERS: 8 # Depends on the available memory |