mirror of https://github.com/JDAI-CV/fast-reid.git
67 lines
1.0 KiB
YAML
67 lines
1.0 KiB
YAML
MODEL:
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META_ARCHITECTURE: AttrBaseline
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BACKBONE:
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NAME: build_resnet_backbone
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NORM: BN
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DEPTH: 50x
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LAST_STRIDE: 2
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FEAT_DIM: 2048
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WITH_IBN: False
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PRETRAIN: True
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PRETRAIN_PATH: /export/home/lxy/.cache/torch/checkpoints/resnet50-19c8e357.pth
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HEADS:
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NAME: AttrHead
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WITH_BNNECK: True
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POOL_LAYER: FastGlobalAvgPool
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CLS_LAYER: Linear
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NUM_CLASSES: 26
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LOSSES:
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NAME: ("BinaryCrossEntropyLoss",)
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BCE:
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WEIGHT_ENABLED: True
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SCALE: 1.
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INPUT:
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SIZE_TRAIN: [ 256, 192 ]
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SIZE_TEST: [ 256, 192 ]
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FLIP:
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ENABLED: True
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PADDING:
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ENABLED: True
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DATALOADER:
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SAMPLER_TRAIN: TrainingSampler
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NUM_WORKERS: 8
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SOLVER:
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MAX_EPOCH: 30
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OPT: SGD
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BASE_LR: 0.04
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BIAS_LR_FACTOR: 2.
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HEADS_LR_FACTOR: 10.
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WEIGHT_DECAY: 0.0005
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WEIGHT_DECAY_BIAS: 0.0005
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IMS_PER_BATCH: 256
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NESTEROV: False
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SCHED: MultiStepLR
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STEPS: [ 15, 20, 25 ]
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WARMUP_FACTOR: 0.1
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WARMUP_ITERS: 1000
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CHECKPOINT_PERIOD: 10
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TEST:
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EVAL_PERIOD: 10
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IMS_PER_BATCH: 256
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CUDNN_BENCHMARK: True
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