mirror of
https://github.com/JDAI-CV/fast-reid.git
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Summary: 1. change DPP training in apex way; 2. make warmup scheduler by iter and lr scheduler by epoch; 3. replace random erasing with torchvision implementation; 4. naming modification in config file
33 lines
430 B
YAML
33 lines
430 B
YAML
_BASE_: "../Base-SBS.yml"
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INPUT:
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SIZE_TRAIN: [256, 256]
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SIZE_TEST: [256, 256]
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MODEL:
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BACKBONE:
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WITH_IBN: True
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SOLVER:
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OPT: "SGD"
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BASE_LR: 0.01
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ETA_MIN_LR: 7.7e-5
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IMS_PER_BATCH: 64
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MAX_ITER: 60
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DELAY_ITERS: 30
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WARMUP_ITERS: 10
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FREEZE_ITERS: 10
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CHECKPOINT_PERIOD: 20
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DATASETS:
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NAMES: ("VeRi",)
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TESTS: ("VeRi",)
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TEST:
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EVAL_PERIOD: 20
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IMS_PER_BATCH: 128
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OUTPUT_DIR: "logs/veri/sbs_R50-ibn"
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