import cv2 import numpy as np img = cv2.imread('image3.png',1) cv2.imshow('src',img) imgInfo = img.shape height = imgInfo[0] width = imgInfo[1] deep = imgInfo[2] newImgInfo = (height*2,width,deep) #dst = np.zeros(newImgInfo,uint8) dst = np.zeros(newImgInfo,np.uint8) for i in range(0,height): for j in range(0,width): dst[i,j] = img[i,j] # x y = 2*h-y-1 # x轴表明的是横坐标,横坐标描述的是宽度信息,所以x值对应的是j # y值描述的是高度信息,高度信息对应的是height,所以y值对应的是i dst[height*2-i-1,j] = img[i,j] for i in range(0,width): dst[height,i] = (0,0,255) #BGR cv2.imshow('dst',dst) cv2.waitKey(0)