import numpy as np
from PIL import Image
import matplotlib.pyplot as plt

image = Image.open(r'C:\Users\Administrator\Desktop\data\train\forest_001.jpg')  #读取图片文件
plt.imshow(image)
plt.show()      #将图片输出到屏幕

image_arr = np.array(image)   #将图片以数组的形式读入变量
print (image_arr)

# coding=utf-8
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt

image_contents = tf.read_file(r'C:\Users\Administrator\Desktop\data\train\forest_001.jpg')  #读取文件

image = tf.image.decode_jpeg(image_contents, channels=3)   #解码jpeg

with tf.Session() as sess:
  sess.run(tf.global_variables_initializer())

  img=sess.run((image))     #img为三维数组
  print (img.shape)     #输出数组形状
  print (img)           #打印数组

  plt.imshow(img)    #显示数组
  plt.show()