将一个NumPy数组转换为一个图像

NumPy或Numeric python是一个流行的数组操作库。由于图像只是一个携带各种颜色代码的像素阵列。NumPy可以用来将数组转换成图像。除了NumPy，我们还将使用PIL或Python图像库，也被称为Pillow来操作和保存数组。

步骤:

1.创建一个numpy数组。
2.将上述阵列重塑为合适的尺寸。
3.使用PIL库从上述数组中创建一个图像对象。
4.以合适的文件格式保存图像对象。

以下是实施情况。

# Python program to convert
# numpy array to image
  
# import required libraries
import numpy as np
from PIL import Image as im
  
# define a main function
def main():
  
    # create a numpy array from scratch
    # using arange function.
    # 1024x720 = 737280 is the amount 
    # of pixels.
    # np.uint8 is a data type containing
    # numbers ranging from 0 to 255 
    # and no non-negative integers
    array = np.arange(0, 737280, 1, np.uint8)
      
    # check type of array
    print(type(array))
      
    # our array will be of width 
    # 737280 pixels That means it 
    # will be a long dark line
    print(array.shape)
      
    # Reshape the array into a 
    # familiar resoluition
    array = np.reshape(array, (1024, 720))
      
    # show the shape of the array
    print(array.shape)
  
    # show the array
    print(array)
      
    # creating image object of
    # above array
    data = im.fromarray(array)
      
    # saving the final output 
    # as a PNG file
    data.save('gfg_dummy_pic.png')
  
# driver code
if __name__ == "__main__":
    
  # function call
  main()

输出:

<class 'numpy.ndarray'>
(737280,)
(1024, 720)
[[  0   1   2 ... 205 206 207]
 [208 209 210 ... 157 158 159]
 [160 161 162 ... 109 110 111]
 ...
 [144 145 146 ...  93  94  95]
 [ 96  97  98 ...  45  46  47]
 [ 48  49  50 ... 253 254 255]]