本文实例为大家分享了python opencv实现旋转矩形框裁减的具体代码,供大家参考,具体内容如下
经常遇见旋转矩形框的裁减问题,那么思路是,将矩形框旋转正然后再裁减
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
|
# -*- coding:gb2312 -*- import cv2 from math import * import numpy as np import time def rotateImage(img,degree,pt1,pt2,pt3,pt4): height,width = img.shape[: 2 ] heightNew = int (width * fabs(sin(radians(degree))) + height * fabs(cos(radians(degree)))) widthNew = int (height * fabs(sin(radians(degree))) + width * fabs(cos(radians(degree)))) matRotation = cv2.getRotationMatrix2D((width / 2 ,height / 2 ),degree, 1 ) matRotation[ 0 , 2 ] + = (widthNew - width) / 2 matRotation[ 1 , 2 ] + = (heightNew - height) / 2 imgRotation = cv2.warpAffine(img, matRotation, (widthNew, heightNew), borderValue = ( 255 , 255 , 255 )) pt1 = list (pt1) pt3 = list (pt3) [[pt1[ 0 ]], [pt1[ 1 ]]] = np.dot(matRotation, np.array([[pt1[ 0 ]], [pt1[ 1 ]], [ 1 ]])) [[pt3[ 0 ]], [pt3[ 1 ]]] = np.dot(matRotation, np.array([[pt3[ 0 ]], [pt3[ 1 ]], [ 1 ]])) imgOut = imgRotation[ int (pt1[ 1 ]): int (pt3[ 1 ]), int (pt1[ 0 ]): int (pt3[ 0 ])] cv2.imshow( "imgOut" ,imgOut) #裁减得到的旋转矩形框 cv2.imwrite( "imgOut.jpg" ,imgOut) # pt2 = list(pt2) # pt4 = list(pt4) # [[pt2[0]], [pt2[1]]] = np.dot(matRotation, np.array([[pt2[0]], [pt2[1]], [1]])) # [[pt4[0]], [pt4[1]]] = np.dot(matRotation, np.array([[pt4[0]], [pt4[1]], [1]])) # pt1 = (int(pt1[0]), int(pt1[1])) # pt2 = (int(pt2[0]), int(pt2[1])) # pt3 = (int(pt3[0]), int(pt3[1])) # pt4 = (int(pt4[0]), int(pt4[1])) # drawRect(imgRotation,pt1,pt2,pt3,pt4,(255,0,0),2) return imgRotation def drawRect(img,pt1,pt2,pt3,pt4,color,lineWidth): cv2.line(img, pt1, pt2, color, lineWidth) cv2.line(img, pt2, pt3, color, lineWidth) cv2.line(img, pt3, pt4, color, lineWidth) cv2.line(img, pt1, pt4, color, lineWidth) if __name__ = = "__main__" : startTime = time.time() imgSrc = cv2.imread( 'E:\桌面\lena.jpg' ) imgResize = cv2.resize(imgSrc,( 500 , 500 )) pt1 = ( 100 , 100 ) pt2 = ( 150 , 50 ) pt3 = ( 175 , 75 ) pt4 = ( 125 , 125 ) # drawRect(imgResize,pt1,pt2,pt3,pt4,(0,0,255),2) imgRotation = rotateImage(imgResize, - degrees(atan2( 50 , 50 )),pt1,pt2,pt3,pt4) endTime = time.time() print endTime - startTime cv2.imshow( "imgRotation" ,imgRotation) cv2.imwrite( "imgRotation.jpg" ,imgRotation) cv2.waitKey( 0 ) |
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/71217872