python+opencv实现堆叠图片

本文实例为大家分享了python+opencv实现堆叠图片的具体代码，供大家参考，具体内容如下

# 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 cv2
import 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：

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