这篇文章主要讲解了“python+opencv怎么实现堆叠图片”，文中的讲解内容简单清晰，易于学习与理解，下面请大家跟着小编的思路慢慢深入，一起来研究和学习“python+opencv怎么实现堆叠图片”吧！
代码如下：
# import cv2# import numpy as np## img = cv2.imread('../images/full.jpg')## img_hor = np.hstack((img,img))# img_ver = np.vstack((img,img))## cv2.imshow('Horizontal',img_hor)# cv2.imshow('Vertical',img_ver)## cv2.waitKey(0) import cv2import numpy as np def stackImages(scale,imgArray): rows = len(imgArray) cols = len(imgArray[0]) rowsAvailable = isinstance(imgArray[0], list) width = imgArray[0][0].shape[1] height = imgArray[0][0].shape[0] if rowsAvailable: for x in range ( 0, rows): for y in range(0, cols): if imgArray[x][y].shape[:2] == imgArray[0][0].shape [:2]: imgArray[x][y] = cv2.resize(imgArray[x][y], (0, 0), None, scale, scale) else: imgArray[x][y] = cv2.resize(imgArray[x][y], (imgArray[0][0].shape[1], imgArray[0][0].shape[0]), None, scale, scale) if len(imgArray[x][y].shape) == 2: imgArray[x][y]= cv2.cvtColor( imgArray[x][y], cv2.COLOR_GRAY2BGR) imageBlank = np.zeros((height, width, 3), np.uint8) hor = [imageBlank]*rows hor_con = [imageBlank]*rows for x in range(0, rows): hor[x] = np.hstack(imgArray[x]) ver = np.vstack(hor) else: for x in range(0, rows): if imgArray[x].shape[:2] == imgArray[0].shape[:2]: imgArray[x] = cv2.resize(imgArray[x], (0, 0), None, scale, scale) else: imgArray[x] = cv2.resize(imgArray[x], (imgArray[0].shape[1], imgArray[0].shape[0]), None,scale, scale) if len(imgArray[x].shape) == 2: imgArray[x] = cv2.cvtColor(imgArray[x], cv2.COLOR_GRAY2BGR) hor= np.hstack(imgArray) ver = hor return ver img = cv2.imread('../images/lanbojini.jpg')imgGray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY) imgStack = stackImages(0.5,([img,imgGray,img],[img,img,img])) # imgStack = stackImages(0.5,([img,imgGray,img],[img,img,img])) # imgHor = np.hstack((img,img))# imgVer = np.vstack((img,img))## cv2.imshow("Horizontal",imgHor)# cv2.imshow("Vertical",imgVer)cv2.imshow("ImageStack",imgStack) cv2.waitKey(0)效果：
感谢各位的阅读，以上就是“python+opencv怎么实现堆叠图片”的内容了，经过本文的学习后，相信大家对python+opencv怎么实现堆叠图片这一问题有了更深刻的体会，具体使用情况还需要大家实践验证。这里是编程网，小编将为大家推送更多相关知识点的文章，欢迎关注！
