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()