mirror of https://github.com/JDAI-CV/fast-reid.git
71 lines
1.0 KiB
YAML
71 lines
1.0 KiB
YAML
MODEL:
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META_ARCHITECTURE: "Baseline"
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BACKBONE:
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NAME: "build_resnet_backbone"
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NORM: "BN"
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DEPTH: 50
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LAST_STRIDE: 1
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WITH_IBN: False
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PRETRAIN: True
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HEADS:
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NAME: "BNneckHead"
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NORM: "BN"
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POOL_LAYER: "avgpool"
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NECK_FEAT: "before"
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CLS_LAYER: "linear"
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LOSSES:
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NAME: ("CrossEntropyLoss", "TripletLoss",)
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CE:
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EPSILON: 0.1
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SCALE: 1.
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TRI:
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MARGIN: 0.3
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HARD_MINING: True
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NORM_FEAT: False
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SCALE: 1.
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INPUT:
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SIZE_TRAIN: [256, 128]
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SIZE_TEST: [256, 128]
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REA:
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ENABLED: True
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PROB: 0.5
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MEAN: [123.675, 116.28, 103.53]
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DO_PAD: True
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DATALOADER:
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PK_SAMPLER: True
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NAIVE_WAY: True
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NUM_INSTANCE: 4
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NUM_WORKERS: 8
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SOLVER:
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OPT: "Adam"
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MAX_ITER: 120
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BASE_LR: 0.00035
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BIAS_LR_FACTOR: 2.
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WEIGHT_DECAY: 0.0005
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WEIGHT_DECAY_BIAS: 0.0005
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IMS_PER_BATCH: 64
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SCHED: "WarmupMultiStepLR"
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STEPS: [40, 90]
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GAMMA: 0.1
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WARMUP_FACTOR: 0.01
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WARMUP_ITERS: 10
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CHECKPOINT_PERIOD: 60
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TEST:
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EVAL_PERIOD: 30
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IMS_PER_BATCH: 128
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CUDNN_BENCHMARK: True
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