コードです。

[mui0107]

`import cv2 from matplotlib import pyplot as plt import numpy as np import math

camera_id = 1 delay = 1 window_name = 'frame'

cap = cv2.VideoCapture(camera_id)

if not cap.isOpened(): print("映像が取得できません。")

import sys
sys.exit()

while True: ret, frame = cap.read() if frame is None: break

#gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
#blur = cv2.GaussianBlur(gray, (0, 0), 5)
#画像の平滑化
kernel = np.ones((5,5),np.float32)/25
dst = cv2.filter2D(frame,-1,kernel)
#輪郭抽出
canny_img = cv2.Canny(dst, 50, 110)

#円の検出
circles = cv2.HoughCircles(canny_img, cv2.HOUGH_GRADIENT, dp=1.2, minDist=20, param1=100, param2=40, minRadius=10, maxRadius=50)
circles = np.uint16(np.around(circles))

for circle in circles[0, :]:
    # 円周を描画する
    cv2.circle(frame, (circle[0], circle[1]), circle[2], (0, 255, 0), 5)`

[mui0107]

`#gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

blur = cv2.GaussianBlur(gray, (0, 0), 5)

画像の平滑化

kernel = np.ones((5,5),np.float32)/25 dst = cv2.filter2D(frame,-1,kernel)

輪郭抽出

canny_img = cv2.Canny(dst, 50, 110)

円の検出

circles = cv2.HoughCircles(canny_img, cv2.HOUGH_GRADIENT, dp=1.2, minDist=20, param1=100, param2=40, minRadius=10, maxRadius=50) circles = np.uint16(np.around(circles))

for circle in circles[0, :]:

円周を描画する

cv2.circle(frame, (circle[0], circle[1]), circle[2], (0, 255, 0), 5)``