from PIL import Image import numpy as np import os # 将图像（灰度图）以矩阵（数字）的的形式输出 img = Image . open ( "./cat02.png" ) img_array = np . asarray ( img ) print ( "输出图像数组：" , img_array ) print (
import numpy as np
import os
# 将图像（灰度图）以矩阵（数字）的的形式输出
img = Image.open("./cat02.png")
img_array = np.asarray(img)
print("输出图像数组：",img_array)
print("数组形状：",img_array.shape)
# 批量：图像（灰度图）以矩阵（数字）的的形式输出
img_array_list = []
list_dir = os.listdir("./image_dir/")
for image in list_dir:
im = Image.open("./image_dir/"+image)
print("输出图像数组：",np.asarray(im))
numpy 矩阵操作
img = np.zeros([3,3],np.float32)print("img:\n",img)
img_out = np.zeros(img.shape + (3,)) #以img矩阵为基准生成增维的新矩阵
print("img_out:\n",img_out)
"""
img:
[[0. 0. 0.]
[0. 0. 0.]
[0. 0. 0.]]
img_out:
[[[0. 0. 0.]
[0. 0. 0.]
[0. 0. 0.]]
[[0. 0. 0.]
[0. 0. 0.]
[0. 0. 0.]]
[[0. 0. 0.]
[0. 0. 0.]
[0. 0. 0.]]]
"""