import numpy as np
import caffe
import sys

blob = caffe.proto.caffe_pb2.BlobProto()
data = open( 'mean.binaryproto' , 'rb' ).read()
blob.ParseFromString(data)
arr = np.array( caffe.io.blobproto_to_array(blob) )
out = arr[0]
np.save( 'mean.npy' , out )

import numpy as np
import caffe
import sys

blob = caffe.proto.caffe_pb2.BlobProto()
with open('mean.npy','rb') as f:
  data_mean = numpy.load(f)
blob.channels=1
blob.height = data_mean.shape[0]
blob.width = data_mean.shape[1]
blob.data.extend(data_mean.astype(float).flat)
binaryproto_file = open('mean.binaryproto', 'wb' ) 
binaryproto_file.write(blob.SerializeToString())
binaryproto_file.close()