8830dc5b81b4b0f8d8080fb60cc4196b5752891e,python/caffe/pycaffe.py,,_Net_deprocess,#,278

Before Change

    Invert Caffe formatting; see Net.preprocess().
    
    decaf_inputs = []
    for in_ in inputs:
        decaf_in = in_.squeeze()
        input_scale = self.input_scale.get(input_name)
        channel_order = self.channel_swap.get(input_name)
        mean = self.mean.get(input_name)
        if mean is not None:
            decaf_in += mean
        decaf_in = decaf_in.transpose((1,2,0))
        if channel_order:
            decaf_in = decaf_in[:, :, channel_order[::-1]]
        if input_scale:
            decaf_in /= input_scale
        decaf_inputs.append(decaf_in)
    return np.asarray(decaf_inputs)


def _Net_set_input_arrays(self, data, labels):

After Change

    
    Invert Caffe formatting; see Net.preprocess().
    
    decaf_in = input_.copy().squeeze()
    input_scale = self.input_scale.get(input_name)
    channel_order = self.channel_swap.get(input_name)
    mean = self.mean.get(input_name)
    if mean is not None:
        decaf_in += mean
    decaf_in = decaf_in.transpose((1,2,0))
    if channel_order:
        decaf_in = decaf_in[:, :, channel_order[::-1]]
    if input_scale:
        decaf_in /= input_scale
    return decaf_in


def _Net_set_input_arrays(self, data, labels):
    

Instances