tensorflow实现图像的裁剪和填充方法

import matplotlib.pyplot as plt;
import tensorflow as tf;
 
image_raw_data_jpg = tf.gfile.FastGFile('11.jpg', 'r').read()
 
with tf.Session() as sess:
	img_data_jpg = tf.image.decode_jpeg(image_raw_data_jpg)
	img_data_jpg = tf.image.convert_image_dtype(img_data_jpg, dtype=tf.float32)
	crop = tf.image.resize_image_with_crop_or_pad(img_data_jpg, 500, 500)
	pad = tf.image.resize_image_with_crop_or_pad(img_data_jpg, 2000, 2000)
 
	plt.figure(1)
	plt.imshow(crop.eval())
	plt.figure(2)
	plt.imshow(pad.eval())
	plt.show()