如何将Python OpenCV轮廓转换为BoundingRect和HoughCircles？

Question

当前，我正在使用轮廓在图像中查找所有形状。查找所有形状的效果很好，但是我想将这些形状（圆形和正方形）转换为HoughCircles和BoundingRects，以便获得像素尺寸。有没有简单的方法可以做到这一点？

代码：

import cv2
import matplotlib.pyplot as plt
import numpy as np

# read the image
image = cv2.imread("shapes3.png")
# convert to RGB
image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
# convert to grayscale
gray = cv2.cvtColor(image, cv2.COLOR_RGB2GRAY)
#edge detection
edgeDet = cv2.Canny(gray, 75, 200)
# create a binary thresholded image
#_, binary = cv2.threshold(edgeDet, 200, 200, cv2.THRESH_BINARY_INV)
# show it
plt.imshow(edgeDet, cmap="gray")
plt.show()
# find the contours from the thresholded image
contours, hierarchy = cv2.findContours(binary, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
# draw all contours

contour_list = []
for contour in contours:
    approx = cv2.approxPolyDP(contour,0.01*cv2.arcLength(contour,True),True)
    area = cv2.contourArea(contour)
    if ((len(approx) > 8) & (area > 30) ):
        contour_list.append(contour)
        
        
        
        
image = cv2.drawContours(image, contours, -1, (0, 255, 0), 2)
plt.imshow(image)
plt.show()
print(contours)

输出：

[array([[[ 58,  54]],

       [[ 57,  55]],

       [[ 55,  55]],

       [[ 55,  56]],

       [[ 54,  57]],

       [[ 54, 443]],

       [[ 55, 444]],

       [[ 55, 445]],

       [[445, 445]],

       [[445,  55]],

       [[442,  55]],

       [[441,  54]]], dtype=int32), array([[[ 57,  55]],...]]