python_scripts2/read_caffe_model.py at master · Dan1900/python_scripts2 · GitHub

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#!/usr/bin/env python


import caffe

import numpy as np


np.set_printoptions(threshold='nan')


#MODEL_FILE = '/home/qd/code/point5/facialkp_predict.prototxt'

#PRETRAIN_FILE = '/home/qd/code/point5/tmp_iter_2000.caffemodel'

MODEL_FILE = '/home/qd/caffe/examples/mnist/lenet.prototxt'

PRETRAIN_FILE = '/home/qd/caffe/examples/mnist/lenet_iter_10000.caffemodel'
params_txt = '/home/qd/code/point5/params2.txt'
pf = open(params_txt, 'w')


net = caffe.Net(MODEL_FILE, PRETRAIN_FILE, caffe.TEST)


for param_name in net.params.keys():

    weight = net.params[param_name][0].data

    bias = net.params[param_name][1].data


    pf.write(param_name)
    pf.write('\n')


    pf.write('\n' + param_name + '_weight:\n\n')

    weight.shape = (-1, 1)

    for w in weight:
        pf.write('%ff, ' % w)


    pf.write('\n\n' + param_name + '_bias:\n\n')

    bias.shape = (-1, 1)
    for b in bias:
        pf.write('%ff, ' % b)

    pf.write('\n\n')

pf.close