tf读取图片，matplotlib可视化

代码：

"""
使用tf读取图片
"""


import tensorflow as tf
import matplotlib.pyplot as plt


image_raw = tf.gfile.FastGFile(rC:UsersAdministratorDesktopmeatwicemeatwice1newCognition
einforcement_learning
ew_test_tensorflowpicture_set023260d27ab8087b5b7d73b837094d.png, 
                     rb).read()

img = tf.image.decode_jpeg(image_raw)

with tf.Session() as sess:
    img1 = img.eval()
    # print(img1)
    print(img1.shape)

plt.figure(1)
plt.imshow(img1)
plt.show()

""" 使用tf读取图片 """ import tensorflow as tf import matplotlib.pyplot as plt image_raw = tf.gfile.FastGFile(rC:UsersAdministratorDesktopmeatwicemeatwice1newCognition einforcement_learning ew_test_tensorflowpicture_set023260d27ab8087b5b7d73b837094d.png, rb).read() img = tf.image.decode_jpeg(image_raw) with tf.Session() as sess: img1 = img.eval() # print(img1) print(img1.shape) plt.figure(1) plt.imshow(img1) plt.show()

显示：

代码： """ 使用tf读取图片 """ import tensorflow as tf import matplotlib.pyplot as plt image_raw = tf.gfile.FastGFile(rC:UsersAdministratorDesktopmeatwicemeatwice1newCognition einforcement_learning ew_test_tensorflowpicture_set023260d27ab8087b5b7d73b837094d.png, rb).read() img = tf.image.decode_jpeg(image_raw) with tf.Session() as sess: img1 = img.eval() # print(img1) print(img1.shape) plt.figure(1) plt.imshow(img1) plt.show() 显示：