mirror of https://github.com/JDAI-CV/fast-reid.git
85 lines
1.2 KiB
YAML
85 lines
1.2 KiB
YAML
_BASE_: base.yaml
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MODEL:
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META_ARCHITECTURE: PCB
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PCB:
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PART_NUM: 3
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PART_DIM: 512
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EMBEDDING_DIM: 2048
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HEAD:
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FULL_DIM: 2048
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PART_DIM: 512
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EMBEDDING_DIM: 128
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BACKBONE:
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PRETRAIN: False
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NAME: build_senet_pcb_backbone
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DEPTH: 101x
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NORM: BN
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LAST_STRIDE: 1
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FEAT_DIM: 512
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WITH_IBN: True
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WITH_SE: True
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HEADS:
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NAME: PcbHead
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WITH_BNNECK: False
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EMBEDDING_DIM: 128
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POOL_LAYER: FastGlobalAvgPool
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CLS_LAYER: Linear
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NUM_CLASSES: 2
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LOSSES:
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NAME: ("BinaryFocalLoss",)
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BFL:
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ALPHA: 0.25
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GAMMA: 2
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SCALE: 1.0
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INPUT:
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SIZE_TRAIN: [310, 300]
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SIZE_TEST: [270, 260]
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CROP:
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ENABLED: True
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SIZE: [270, 260]
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SCALE: [0.8, 1.2]
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RATIO: [0.75, 1.33333333]
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DATALOADER:
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NUM_WORKERS: 16
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SOLVER:
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AMP:
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ENABLED: True
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OPT: SGD
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SCHED: MultiStepLR
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BASE_LR: 0.0005
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MOMENTUM: 0.99
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NESTEROV: True
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BIAS_LR_FACTOR: 1.
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WEIGHT_DECAY: 0.00001
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WEIGHT_DECAY_BIAS: 0.
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ETA_MIN_LR: 0.000003
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WARMUP_FACTOR: 0.1
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WARMUP_ITERS: 0
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MAX_EPOCH: 300
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IMS_PER_BATCH: 168
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TEST:
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IMS_PER_BATCH: 336
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DATASETS:
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NAMES: ("PairDataset",)
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TESTS: ("PairDataset", "ExcelDataset",)
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OUTPUT_DIR: projects/FastShoe/logs/online-pcb
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