opencv图片缩放与镜像

一个练习的代码，先对图片进行缩放，然后再做镜像：

import cv2

import numpy as np

img = cv2.imread("src.jpg", 1)

cv2.imshow("src",img)

imgInfo = img.shape

height = imgInfo[0]

width  = imgInfo[1]

deep   =  imgInfo[2]

#图片大，镜像后太高屏幕显示不全，这里先缩放

matScale = np.float32([[0.8,0,0], [0,0.8,0]])

scale = cv2.warpAffine(img, matScale, (int(width*0.8), int(height*0.8)))  

cv2.imshow("scale", scale)

#重新获取缩放后的图片高与宽

imgInfo = scale.shape

height  = imgInfo[0]

width   = imgInfo[1]

#镜像的图片信息

newImgInfo = (height * 2, width, deep)

dest = np.zeros(newImgInfo, np.uint8)

#镜像

for i in range(0, height):

    for j in range(0, width):

        dest[i,j] = scale[i,j]

        dest[height*2 - i -1, j] = scale[i, j]

#画一个镜像与原图分割线        

for i in range(0, width):

    dest[height, i] = (0,0,255)

cv2.imshow("dst", dest)

cv2.waitKey(0)

三张图片效果如下：