本文原理：先旋轉(zhuǎn)矩形到指定角度，然后提取矩形外輪廓，從而獲取旋轉(zhuǎn)后的矩形坐標(biāo)點(diǎn)。

#！/usr/bin/env python3

# -*- coding: utf-8 -*-

# @Author: tcy

# @Date: 2020-5-2 21:00:53

# @Version:V1.01

# @Last Modified by: tcy shanghai songjiang xiaokunshan

# @Last Modified time: 2020-5-7 21:21:10

import cv2,numpy as np

class Geometry(object):

def rotation_Scale(self,src, angle:'float',rotation_center:'(float,float)'=None,scale:'float'=1)->np.ndarray:#彩色：旋轉(zhuǎn)縮放

"""

:param src: ndarray

:param angle: float rotation angle

:param scale: float

:return: ndarray

retval = cv2.getRotationMatrix2D(center, angle, scale) // 圖像旋轉(zhuǎn)轉(zhuǎn)換矩陣

參數(shù)：

center旋轉(zhuǎn)中心點(diǎn);

angle旋轉(zhuǎn)角度(正為逆時(shí)針)

scale變換尺度(縮放大小)

"""

rows, cols = src.shape[:2]

cx=rotation_center[0] if rotation_center else cols/2.0

cy=rotation_center[1] if rotation_center else rows/2.0

# cols - 1 and rows - 1 are the coordinate limits.

M = cv2.getRotationMatrix2D((cx, cy), angle, scale)

dst = cv2.warpAffine(src, M, (int(2*cx), int(2*cy)))

return dst

def circleRect(self,rect:"(pt1,pt2)",angle:float,w_image=480,h_image=640,rectcenter=True):

"""

:param rect: int,int,int,int 矩形左上角右下角坐標(biāo)

:param angle: 旋轉(zhuǎn)角度 非弧度

:param w_image: 圖像寬度

:param h_image: 圖像高

:param rectcenter: bool or (int x,int y)指定繞指定點(diǎn)旋轉(zhuǎn);True繞矩形中心旋轉(zhuǎn)；false繞圖像中心旋轉(zhuǎn)

:return: rect旋轉(zhuǎn)后矩陣坐標(biāo)點(diǎn)；可能多于4點(diǎn)

"""

img=np.zeros((w_image,h_image),dtype=np.uint8)

cv2.rectangle(img,rect[0],rect[1],255,-1)

if len(rect)==4:

x1,y1,x2,y2=rect

else:

x1,y1=rect[0]

x2,y2=rect[1]

w_rect,h_rect=abs(x2-x1),abs(y2-y1)

# ret,binary=cv2.threshold(img,254,255,cv2.THRESH_BINARY+cv2.THRESH_OTSU)

# cv2.line(img,(w_rect,h_rect),(w_rect,h_rect),125,5)

if rectcenter==False:

img_rotation=self.rotation_Scale(img,angle) #繞圖像中心點(diǎn)旋轉(zhuǎn)

elif rectcenter==True:

img_rotation=self.rotation_Scale(img,angle,(w_rect,h_rect))#繞矩形中心點(diǎn)旋轉(zhuǎn)

else:#參數(shù)設(shè)置不合理只能顯示部分圖像

img_rotation=self.rotation_Scale(img,angle,(rectcenter[0],rectcenter[1]))

contours,hierarchy=cv2.findContours(img_rotation,cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)

return contours[0].ravel()

def test_revolvePixs(self,image=None):

pt1=(100,100)

pt2=(300,300)

e1 = cv2.getTickCount() # 您的代碼執(zhí)行

print('get point=',self.circleRect((pt1,pt2),45))

e2 = cv2.getTickCount()

t = (e2 - e1) / cv2.getTickFrequency() * 1000

print("runTime=", t, "ms") # 2.1672447196501228 ms

#===========================================================

if __name__=="__main__":

import os

#girl=os.getcwd()+'\\data\\girl.jpg'

#gray=os.getcwd()+'\\data\\fastener1.jpg'

a=Geometry()

a.test_revolvePixs()

https://blog.csdn.net/u013948010/article/details/78605043

python+opencv圖片旋轉(zhuǎn)矩形分割 這邊博文沒看明白，希望你能看懂。歡迎交流。希望分享更好的方法。

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