mirror of https://github.com/JDAI-CV/fast-reid.git
48 lines
1.3 KiB
Plaintext
48 lines
1.3 KiB
Plaintext
2019-07-29 20:56:09,448 reid_baseline INFO: Using 1 GPUs.
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2019-07-29 20:56:09,449 reid_baseline INFO: Namespace(config_file='configs/softmax_triplet.yml', opts=[])
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2019-07-29 20:56:09,449 reid_baseline INFO: Loaded configuration file configs/softmax_triplet.yml
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2019-07-29 20:56:09,449 reid_baseline INFO: Running with config:
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DATALOADER:
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NUM_INSTANCE: 4
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NUM_WORKERS: 8
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SAMPLER: softmax_triplet
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DATASETS:
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NAMES: market1501
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INPUT:
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PADDING: 10
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PIXEL_MEAN: [0.485, 0.456, 0.406]
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PIXEL_STD: [0.229, 0.224, 0.225]
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PROB: 0.5
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SIZE_TEST: [256, 128]
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SIZE_TRAIN: [256, 128]
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MODEL:
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DEVICE: cuda
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LAST_STRIDE: 1
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NAME: resnet50
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PRETRAIN_PATH: /export/home/lxy/.cache/torch/checkpoints/resnet50-19c8e357.pth
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OUTPUT_DIR: logs/co-train/test
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SOLVER:
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BASE_LR: 0.00035
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BIAS_LR_FACTOR: 2
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CHECKPOINT_PERIOD: 50
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EVAL_PERIOD: 30
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GAMMA: 0.1
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IMS_PER_BATCH: 64
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LOG_PERIOD: 100
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MARGIN: 0.3
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MAX_EPOCHS: 150
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MOMENTUM: 0.9
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OPTIMIZER_NAME: Adam
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STEPS: (40, 90)
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WARMUP_FACTOR: 0.01
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WARMUP_ITERS: 10
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WARMUP_METHOD: linear
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WEIGHT_DECAY: 0.0005
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WEIGHT_DECAY_BIAS: 0.0005
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TEST:
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IMS_PER_BATCH: 512
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WEIGHT: path
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2019-07-29 20:56:10,745 reid_baseline.train INFO: Start Training
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2019-07-29 20:56:37,530 reid_baseline.train INFO: Iter [60/185], loss: 8.0126
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2019-07-29 20:56:56,679 reid_baseline.train INFO: Iter [121/185], loss: 7.5083
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