TensorFlow FastGFile 和 max_pool 代码样例。
效果图：
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import tensorflow as tf
import matplotlib.pyplot as plt
image_raw_data=tf.gfile.FastGFile("ad.jpg","r").read()
with tf.Session() as sess:
image_data=tf.image.decode_png(image_raw_data)
image=(image_data.eval())
print (image)
print image.shape
plt.subplot(231)
plt.imshow(image[:,:,0])
plt.subplot(232)
plt.imshow(image[:, :, 1])
plt.subplot(233)
plt.imshow(image[:, :, 2])
result = sess.run(tf.reshape(image, [1,450, 540, 3]))
pooling = tf.nn.max_pool(result, [1, 4, 4, 1], [1, 2, 2, 1], padding='VALID')
result = sess.run(pooling)
print(result.shape)
result = sess.run(tf.reshape(result, [224, 269, 3]))
plt.subplot(234)
plt.imshow(result[:, :, 0])
plt.subplot(235)
plt.imshow(result[:, :, 1])
plt.subplot(236)
plt.imshow(result[:, :, 2])
plt.show()
