Caffe: 运行classify.py时报错 Mean shape incompatible with input shape

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运行classify.py时报错 Mean shape incompatible with input shape

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[摘要：办理方式参考http://stackoverflow.com/questions/29842935/mean-shape-incompatible-with-input-shape-caffe-classification-error-in-io-py 正在运转caffe的python例子时，敕令止输进 python classify.py cat.jpg foo 报错 ValueError:]

解决方法参考http://stackoverflow.com/questions/29842935/mean-shape-incompatible-with-input-shape-caffe-classification-error-in-io-py

在运行caffe的python例子时，命令行输入

python classify.py cat.jpg  foo

报错

ValueError: Mean shape incompatible with input shape.

原因是‘mean’与‘input’的尺寸不同造成的。

参考前面的文章，修改了 ./caffe-master/python/caffe/io.py 文件

将：

if ms != self.inputs[in_][1:]: raise ValueError('Mean shape incompatible with input shape.')

修改为：

if ms != self.inputs[in_][1:]: print(self.inputs[in_]) in_shape = self.inputs[in_][1:] m_min, m_max = mean.min(), mean.max() normal_mean = (mean - m_min) / (m_max - m_min) mean = resize_image(normal_mean.transpose((1,2,0)),     in_shape[1:]).transpose((2,0,1)) *     (m_max - m_min) + m_min #raise ValueError('Mean shape incompatible with input shape.')

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