基于python3+opencv3图像基础IO操作

q989

　　环境
　　Anaconda+python3.5.2+opencv3
　　1.
　　先测试一下numpy的矩阵。



import numpy as np
import cv2
img=np.zeros((3,3),dtype=np.uint8)
print(img.shape)
img=cv2.cvtColor(img,cv2.COLOR_GRAY2BGR)
print('\n')
print(img.shape)
print('\n')
print(img)

　　2.



import cv2
grayImage=cv2.imread('/home/cisco/Pictures/Webcam/ss.jpg',0)
cv2.imwrite('ssgray.jpg',grayImage)
AnyColor=cv2.imread('/home/cisco/Pictures/Webcam/ss.jpg',4)
cv2.imwrite('ssAnyColor.jpg',AnyColor)
　　src

grayImage

AnyColor

　　3.
　　Random Array into PNG



import cv2
import numpy as np
import os
randomByteArray=bytearray(os.urandom(120000))
flatNumpyArray=np.array(randomByteArray)
grayImage =flatNumpyArray.reshape(300,400)
cv2.imwrite('RandomGray.png',grayImage)
bgrImage=flatNumpyArray.reshape(100,400,3)
cv2.imwrite('RandomColor.png',bgrImage)
　　Random Gray

　　Random Color