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This article mainly explains "how to stack pictures in python+opencv". The content in the article is simple and clear, and it is easy to learn and understand. Please follow the editor's train of thought to study and learn how to stack pictures in python+opencv.

The code is as follows:

# 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 (img array [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 ([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)

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