本文实例为大家分享了python opencv实现切变换的具体代码,供大家参考,具体内容如下
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# -*- coding:gb2312 -*-
import cv2
from math import *
import numpy as np
img = cv2.imread( "3-2.jpg" )
height,width = img.shape[: 2 ]
degreeAffine = 45
#切变换最后结果
heightAffine = height
widthAffine = int ( 2 * height * tan(radians(degreeAffine)) + width)
# 随意两点得到仿射变换矩阵
# point1=np.float32([[50,50],[200,50],[50,200]])
# point2=np.float32([[50,50],[100,50],[50,200]])
# matAffine=cv2.getAffineTransform(point1,point2)
#如果结果是正的图片
tempY = (widthAffine + 1 ) / 2 - width / 2
tempX = (heightAffine + 1 ) / 2 - height / 2
temp = np.zeros((heightAffine,widthAffine, 3 ),np.uint8) + 255
temp[tempX:(tempX + height),tempY:(tempY + width)] = img
cv2.imshow( "temp" ,temp)
#仿射变换矩阵
matAffine = np.zeros([ 2 , 3 ])
matAffine[ 0 , 0 ] = 1
matAffine[ 0 , 1 ] = tan(radians(degreeAffine))
matAffine[ 0 , 2 ] = (widthAffine - width) / 2
matAffine[ 1 , 0 ] = 0
matAffine[ 1 , 1 ] = 1
matAffine[ 1 , 2 ] = (heightAffine - height) / 2
imgAfiine = cv2.warpAffine(img,matAffine,(widthAffine,heightAffine),borderValue = ( 255 , 255 , 255 ))
cv2.imwrite( "temp.jpg" ,temp)
cv2.imwrite( "imgAffine.jpg" ,imgAfiine)
cv2.imshow( "imgAffine" ,imgAfiine)
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效果图:
以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持服务器之家。
原文链接:https://blog.csdn.net/yjl9122/article/details/70853475