import tensorflow as tf
import os
import tarfile
import requests
#inception模型下载地址
inception_pretrain_model_url = ‘http://download.tensorflow.org/models/image/imagenet/inception-2015-12-05.tgz‘
#模型存放地址
inception_pretrain_model_dir = "inception_model"
if not os.path.exists(inception_pretrain_model_dir):
os.makedirs(inception_pretrain_model_dir)
#获取文件名，以及文件路径
filename = inception_pretrain_model_url.split(‘/‘)[-1]
filepath = os.path.join(inception_pretrain_model_dir, filename)
#下载模型
if not os.path.exists(filepath):
print("download: ", filename)
r = requests.get(inception_pretrain_model_url, stream=True)
with open(filepath, ‘wb‘) as f:
for chunk in r.iter_content(chunk_size=1024):
if chunk:
f.write(chunk)
print("finish: ", filename)
#解压文件
tarfile.open(filepath, ‘r:gz‘).extractall(inception_pretrain_model_dir)
#模型结构存放文件
log_dir = ‘inception_log‘
if not os.path.exists(log_dir):
os.makedirs(log_dir)
#classify_image_graph_def.pb为google训练好的模型
inception_graph_def_file = os.path.join(inception_pretrain_model_dir, ‘classify_image_graph_def.pb‘)
with tf.Session() as sess:
#创建一个图来存放google训练好的模型
with tf.gfile.FastGFile(inception_graph_def_file, ‘rb‘) as f:
graph_def = tf.GraphDef()
graph_def.ParseFromString(f.read())
tf.import_graph_def(graph_def, name=‘‘)
#保存图的结构
writer = tf.summary.FileWriter(log_dir, sess.graph)
writer.close()
##################运行结果
download: inception-2015-12-05.tgz finish: inception-2015-12-05.tgz
原文地址：https://www.cnblogs.com/herd/p/9481983.html