树莓派opencv检验圆形

使用OpenCV在树莓派上检测圆形的步骤如下：

1. 导入必要的库，包括cv2和numpy

   import cv2
   import numpy as np

2. 加载图像并将其转换为灰度图像

   img = cv2.imread('image.png')
   gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

3. 对图像进行模糊处理以减少噪声

   blurred = cv2.GaussianBlur(gray, (11,11), 0)

4. 使用Hough变换检测圆形

   circles = cv2.HoughCircles(blurred, cv2.HOUGH_GRADIENT, 1.2, 100)

5. 绘制检测到的圆形

   if circles is not None:
       circles = np.round(circles[0, :]).astype("int")
       for (x, y, r) in circles:
           cv2.circle(img, (x, y), r, (0, 255, 0), 4)

完整的代码示例：

import cv2
import numpy as np

img = cv2.imread('image.png')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
blurred = cv2.GaussianBlur(gray, (11,11), 0)
circles = cv2.HoughCircles(blurred, cv2.HOUGH_GRADIENT, 1.2, 100)

if circles is not None:
    circles = np.round(circles[0, :]).astype("int")
    for (x, y, r) in circles:
        cv2.circle(img, (x, y), r, (0, 255, 0), 4)

cv2.imshow("output", img)
cv2.waitKey(0)
cv2.destroyAllWindows()

注意：在树莓派上运行OpenCV可能会比在其他计算机上慢，因此可能需要调整一些参数以获得最佳性能。