tensorflow搭建vgg16提取图像特征

github代码

https://github.com/ry/tensorflow-vgg16

https://github.com/machrisaa/tensorflow-vgg

预训练模型地址：

测试代码：

test_vgg16.py

import numpy as np
import tensorflow as tf

import vgg16
import utils

img1 = utils.load_image("./test_data/tiger.jpeg")
img2 = utils.load_image("./test_data/puzzle.jpeg")

batch1 = img1.reshape((1, 224, 224, 3))
batch2 = img2.reshape((1, 224, 224, 3))
fo=open('aa','w')
batch = np.concatenate((batch1, batch2), 0)
with tf.device('/gpu:1'):
    with tf.Session() as sess:
        images = tf.placeholder("float", [2, 224, 224, 3])
        feed_dict = {images: batch}

#        vgg = vgg16.Vgg16()
#        with tf.name_scope("content_vgg"):
#            vgg.build(images)

#        prob = sess.run(vgg.prob, feed_dict=feed_dict)
#        print(prob)
#        utils.print_pr