37 lines
637 B
YAML
37 lines
637 B
YAML
model:
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name: 'resnet50_fc512'
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pretrained: True
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data:
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type: 'image'
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sources: ['market1501']
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targets: ['market1501']
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height: 256
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width: 128
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combineall: False
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transforms: ['random_flip']
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save_dir: 'log/resnet50_fc512_market1501_softmax'
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loss:
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name: 'softmax'
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softmax:
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label_smooth: True
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train:
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optim: 'amsgrad'
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lr: 0.0003
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max_epoch: 60
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batch_size: 32
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fixbase_epoch: 5
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open_layers: ['fc', 'classsifier']
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lr_scheduler: 'single_step'
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stepsize: [20]
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test:
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batch_size: 100
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dist_metric: 'euclidean'
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normalize_feature: False
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evaluate: False
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eval_freq: 10
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rerank: False
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visactmap: False |