以下是参考代码：

import cv2 import numpy as np

读入视频

cap = cv2.VideoCapture("C:/Users/Jionie/Desktop/dazuo/pp.mp4")

定义橙黄色的HSV颜色范围

lower_orange = np.array([11, 43, 46]) upper_orange = np.array([25, 255, 255])

定义输出视频的宽度和高度

width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH)) height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))

定义输出视频的帧率和编码方式

fps = cap.get(cv2.CAP_PROP_FPS) fourcc = cv2.VideoWriter_fourcc(*'mp4v')

创建输出视频对象

out = cv2.VideoWriter("C:/Users/Jionie/Desktop/dazuo/pp_output.mp4", fourcc, fps, (width, height))

while True: # 读取一帧视频 ret, frame = cap.read() if not ret: break

# 将当前帧转换为HSV颜色空间
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)

# 使用inRange函数获取橙黄色的遮罩
mask = cv2.inRange(hsv, lower_orange, upper_orange)

# 使用HoughCircles函数检测圆形轮廓
circles = cv2.HoughCircles(mask, cv2.HOUGH_GRADIENT, dp=1, minDist=50, param1=100, param2=30, minRadius=10, maxRadius=50)

# 如果检测到圆形轮廓，则将圆形轮廓绘制在原始图像上，并将其投屏在黑色背景的视频中
if circles is not None:
    circles = np.uint16(np.around(circles))
    for i in circles[0,:]:
        x, y, r = i
        cv2.circle(frame, (x, y), r, (0, 255, 0), 2)
        mask = np.zeros((height, width), dtype=np.uint8)
        cv2.circle(mask, (x, y), r, 255, -1)
        output = np.zeros(frame.shape, dtype=np.uint8)
        output[mask>0] = frame[mask>0]
        out.write(output)

# 显示当前帧的画面
cv2.imshow("frame", frame)
if cv2.waitKey(1) == ord("q"):
    break

释放资源

cap.release() out.release() cv2.destroyAllWindows(