read_mean.cpp

#include <iostream>
#include "caffe/util/io.hpp"
#include "caffe/proto/caffe.pb.h"

using namespace std;

int main(int argc, char const *argv[])
{
	caffe::BlobProto blob;
	const char filename[] = "mean.binaryproto";
	bool success = caffe::ReadProtoFromBinaryFile(filename, &blob);
	assert(success);
    
    cout << blob.num() << endl;
    cout << blob.channels()  << endl;
    cout << blob.height() << endl;
    cout << blob.width() << endl;

	return 0;
}

read_mean.py

from caffe.proto import caffe_pb2
import numpy as np
import matplotlib.pyplot as plt 

def main():
    fn = 'mean.binaryproto'
    with open(fn, 'rb') as f:
        s = f.read()

    blob = caffe_pb2.BlobProto()
    blob.ParseFromString(s)
    shape = (blob.num, blob.channels, blob.height, blob.width)

    data = blob.data
    arr = np.array(data)
    im = arr.astype(np.uint8).reshape(shape)[0]
    im = im.transpose((1,2,0))


    plt.imshow(im)
    plt.show()

if __name__ == '__main__':
    main()