mirror of https://github.com/JDAI-CV/fast-reid.git
Merge branch 'develop' into pcb_online
commit
5a075c1fe8
fastreid/config
projects/FastShoe/configs
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@ -163,9 +163,9 @@ _C.MODEL.PCB.HEAD.EMBEDDING_DIM = 512
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# -----------------------------------------------------------------------------
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_C.INPUT = CN()
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# Size of the image during training
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_C.INPUT.SIZE_TRAIN = [256, 128]
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_C.INPUT.SIZE_TRAIN = [0, 0]
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# Size of the image during test
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_C.INPUT.SIZE_TEST = [256, 128]
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_C.INPUT.SIZE_TEST = [0, 0]
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# `True` if cropping is used for data augmentation during training
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_C.INPUT.CROP = CN({"ENABLED": False})
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@ -0,0 +1,63 @@
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INPUT:
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SIZE_TRAIN: [0, 0] # resize size
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SIZE_TEST: [0, 0]
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CROP:
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ENABLED: False
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FLIP:
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ENABLED: False
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PADDING:
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ENABLED: False
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CJ:
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ENABLED: False
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AFFINE:
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ENABLED: False
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AUTOAUG:
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ENABLED: False
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AUGMIX:
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ENABLED: False
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REA:
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ENABLED: False
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RPT:
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ENABLED: False
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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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@ -1,89 +0,0 @@
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_BASE_: base-pair.yaml
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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: [224, 224] # no need for resize when training
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SIZE_TEST: [224, 224]
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FLIP:
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ENABLED: True
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CJ:
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ENABLED: True
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AUTOAUG:
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ENABLED: True
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PROB: 0.5
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AUGMIX:
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ENABLED: True
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PROB: 0.5
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REA:
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ENABLED: True
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DATALOADER:
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SAMPLER_TRAIN: TrainingSampler
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NUM_WORKERS: 16
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SOLVER:
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MAX_EPOCH: 300
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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: 0.99
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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: 4
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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: 128
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DATASETS:
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NAMES: ("ShoeDataset",)
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TESTS: ("ShoeDataset", "OnlineDataset")
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OUTPUT_DIR: projects/FastShoe/logs/r101_ibn_se
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