def transform_param(self, mean_value=128, batch_size=128, scale=.0078125, mirror=1, crop_size=None, mean_file_size=None, phase=None):
new_transform_param = self.this.transform_param
if scale != 1:
new_transform_param.scale = scale
if isinstance(mean_value, list):
new_transform_param.mean_value.extend(mean_value)
else:
new_transform_param.mean_value.extend([mean_value])
if phase is not None and phase == 'TEST':
return
new_transform_param.mirror = mirror
if crop_size is not None:
new_transform_param.crop_size = crop_size
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