mirror of https://github.com/JDAI-CV/fast-reid.git
86 lines
1.3 KiB
YAML
86 lines
1.3 KiB
YAML
MODEL:
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META_ARCHITECTURE: Metric
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BACKBONE:
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NAME: build_resnet_backbone
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DEPTH: 101x
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NORM: BN
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LAST_STRIDE: 2
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FEAT_DIM: 512
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PRETRAIN: True
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WITH_IBN: True
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WITH_SE: True
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HEADS:
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NAME: PairHead
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WITH_BNNECK: False
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EMBEDDING_DIM: 0
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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: ("ContrastiveLoss",)
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CONTRASTIVE:
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MARGIN: 2.0
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SCALE: 1.
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INPUT:
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SIZE_TRAIN: [0,] # no need for resize when training
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SIZE_TEST: [256,]
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AUTOAUG:
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ENABLED: True
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PROB: 0.5
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CJ:
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ENABLED: True
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CROP:
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ENABLED: False
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SIZE: [224,]
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SCALE: [0.08, 1]
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RATIO: [0.75, 1.333333333]
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FLIP:
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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: 1000
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AMP:
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ENABLED: True
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OPT: SGD
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SCHED: CosineAnnealingLR
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BASE_LR: 0.001
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MOMENTUM: 0.9
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NESTEROV: False
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BIAS_LR_FACTOR: 1.
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WEIGHT_DECAY: 0.0005
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WEIGHT_DECAY_BIAS: 0.
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IMS_PER_BATCH: 16
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ETA_MIN_LR: 0.00003
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WARMUP_FACTOR: 0.1
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WARMUP_ITERS: 100
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CHECKPOINT_PERIOD: 1
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TEST:
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EVAL_PERIOD: 1
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IMS_PER_BATCH: 32
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DATASETS:
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NAMES: ("ShoeDataset", "OnlineDataset")
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TESTS: ("ShoeDataset", "OnlineDataset")
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OUTPUT_DIR: projects/FastShoe/logs/r101_ibn_se
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