读取图像的六种方式

```python在这里插入代码片#图像读取方式1# importcv2# img_cv=cv2.imread(r"C:\Users\Administrator\Desktop\cxh-photos\demo3.jpg")# print("imgh_cv:",img_cv.shape)#图像读取方式2# from PIL import Image# import numpy as np# img_

阿迪修

2200人浏览 · 2020-11-06 17:50:55

阿迪修 · 2020-11-06 17:50:55 发布


```python
在这里插入代码片#图像读取方式1
# import  cv2
# img_cv=cv2.imread(r"C:\Users\Administrator\Desktop\cxh-photos\demo3.jpg")
# print("imgh_cv:",img_cv.shape)

#图像读取方式2
# from PIL import Image
# import numpy as np
# img_PIL=Image.open(r"C:\Users\Administrator\Desktop\cxh-photos\demo3.jpg")
# print("img_PIL",img_PIL)
# print("img_PIL:",type(img_PIL))
# img_PIL=np.array(img_PIL)
# print("img_PIL:",img_PIL.shape)
# print("img_PIL:",type(img_PIL))

#图像读取方式3
# from keras.preproecssing.image  import  array_to_img , img_to_array
# load_imgimg_keras = load_img(r"C:\Users\Administrator\Desktop\cxh-photos\demo3.jpg")

# import skimage.io as io  #pytorch的框架
# img_io=io.imread(r"C:\Users\Administrator\Desktop\cxh-photos\demo3.jpg")
# print("img_io:",img_io.shape)

#图像读取方式4
# import  matplotlib.image as mpig
# img_mpig=mpig.imread(r"C:\Users\Administrator\Desktop\cxh-photos\demo3.jpg")
# print("img_mpig:",img_mpig.shape)

#图像读取方式5
import  matplotlib.pyplot as plt
img_plt = plt.imread(r"C:\Users\Administrator\Desktop\cxh-photos\demo3.jpg")
print("img_plt:",img_plt.shape)
# plt.imshow(img_plt,cmap=plt.cm.binary)
# plt.show()

# plt.imshow(img_plt[:,:,0], cmap=plt.cm.binary)
# plt.show()

digit = [[[130,26,33,12],
         [14,27,43,140],
         [120,124,134,205]],

         [[15,26, 33, 12],
         [14, 27, 50, 190],
        [120, 124, 134, 25]],

        [[135,26,33,12],
         [14,27,43,10],
         [20,12,134,205]],

         ]
plt.imshow(digit,cmap=plt.cm.binary)
plt.show()```

输入三维矩阵得到图片


```python
import  matplotlib.pyplot as plt
img_plt = plt.imread(r"C:\Users\Administrator\Desktop\cxh-photos\demo3.jpg")
print("img_plt:",img_plt.shape)
# plt.imshow(img_plt,cmap=plt.cm.binary)
# plt.show()

# plt.imshow(img_plt[:,:,0], cmap=plt.cm.binary)
# plt.show()

digit = [[[130,26,33,12],
         [145,207,43,140],
         [12,12,134,25]],

         [[15,26, 33, 12],
         [14, 27, 50, 190],
        [12, 24, 34, 25]],

        [[135,26,33,12],
         [14,27,43,10],
         [20,12,134,205]],


         ]
plt.imshow(digit,cmap=plt.cm.cool)
plt.show()

在这里插入图片描述

链接camp:

https://blog.csdn.net/qq_28485501/article/details/82656614?ops_request_misc=%257B%2522request%255Fid%2522%253A%2522160465671119725222430929%2522%252C%2522scm%2522%253A%252220140713.130102334..%2522%257D&request_id=160465671119725222430929&biz_id=0&utm_medium=distribute.pc_search_result.none-task-blog-2~all~sobaiduend~default-1-82656614.first_rank_ecpm_v3_pc_rank_v2&utm_term=plt.imshowdigit%2Ccmap%3Dplt.cm.bi&spm=1018.2118.3001.4449