写一段利用python语言，读取悬臂梁振动冲击视频，利用圆心标靶检测算法提取结构6个测点的位移并绘制每个测点的位移曲线的算法

好的，以下是利用Python语言进行悬臂梁振动冲击视频处理的算法，包括圆心标靶检测和位移曲线绘制：

1. 导入必要的库

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

2. 读取视频文件并获取基本信息

cap = cv2.VideoCapture('video.mp4')
fps = int(cap.get(cv2.CAP_PROP_FPS))
frame_count = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))

3. 定义圆心标靶检测算法

def detect_circle(frame):
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    circles = cv2.HoughCircles(gray, cv2.HOUGH_GRADIENT, 1, 20, param1=50, param2=30, minRadius=0, maxRadius=0)
    if circles is not None:
        circles = np.uint16(np.around(circles))
        return circles[0, :]
    else:
        return None

4. 定义测点位置和颜色

points = [(320, 103), (288, 159), (256, 215), (224, 271), (192, 327), (160, 383)]
colors = ['b', 'g', 'r', 'c', 'm', 'y']

5. 读取视频并进行处理

fig, axs = plt.subplots(6, 1, figsize=(8, 12))

while True:
    ret, frame = cap.read()
    if not ret:
        break

    circles = detect_circle(frame)
    if circles is not None:
        for i, point in enumerate(points):
            # 计算测点位移
            x, y = point
            dx = circles[i][0] - x
            dy = circles[i][1] - y
            displacement = np.sqrt(dx ** 2 + dy ** 2)

            # 绘制测点位移曲线
            axs[i].plot(frame_count / fps, displacement, colors[i] + '.')
            axs[i].set_xlim([0, frame_count / fps])
            axs[i].set_ylim([0, 100])
            axs[i].set_xlabel('Time (s)')
            axs[i].set_ylabel('Displacement (pixels)')

    cv2.imshow('frame', frame)
    if cv2.waitKey(1) == ord('q'):
        break

cap.release()
cv2.destroyAllWindows()
plt.show()

通过以上算法，可以读取悬臂梁振动冲击视频，利用圆心标靶检测算法提取结构6个测点的位移并绘制每个测点的位移曲线。