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20 lines
601 B
20 lines
601 B
training:
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num_epochs: 100
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batch_size: 32
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learning_rate: 0.001
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save_interval: 10
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model:
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input_channels: 1
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hidden_channels: 32
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latent_channels: 64
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data:
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image_size: 256
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train_dir: "data/train"
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test_dir: "data/noisy_test"
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preprocess:
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resize_size: [256, 256] # 图像调整大小，需要与 dataset.py 中的 Resize 对应
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normalize: True # 是否进行标准化
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mean: [0.5] # 灰度图像的均值，需要与 dataset.py 中的 Normalize 对应
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std: [0.5] # 灰度图像的标准差，需要与 dataset.py 中的 Normalize 对应 |