code: def read_caffe_mean(caffe_mean_file):
      
  
      import caffe_parser
      import numpy as np
      mean_blob = caffe_parser.caffe_pb2.BlobProto()
      with open(caffe_mean_file, 'rb') as f:
          mean_blob.ParseFromString(f.read())
  
      img_mean_np = np.array(mean_blob.data)
      img_mean_np = img_mean_np.reshape(mean_blob.channels, mean_blob.height, mean_blob.width)
  
      # swap channels from Caffe BGR to RGB
      img_mean_np[[0, 2], :, :] = img_mean_np[[2, 0], :, :]
  
      return img_mean_np
docs: Reads caffe formatted mean file
      :param caffe_mean_file: path to caffe mean file, presumably with 'binaryproto' suffix
      :return: mean image, converted from BGR to RGB format