在代码的开头,将background = cv2.resize(background, (frame.shape[1], frame.shape[0]))改为background = cv2.resize(background, (frame.shape[1], frame.shape[0])) if 'frame' in locals() else None。这样可以确保frame在使用之前定义。

修改后的代码如下:

import cv2
import numpy as np
import time
import winsound

# 读取背景图像
background = cv2.imread("D://background.jpg")
background = cv2.resize(background, (frame.shape[1], frame.shape[0])) if 'frame' in locals() else None

# 设置报警持续时间阈值(秒)
alarm_duration = 60

# 初始化报警状态和起始时间
alarm_triggered = False
start_time = time.time()

# 打开视频流
cap = cv2.VideoCapture("D://water5.mp4")

while True:
    ret, frame = cap.read()

    # 将当前帧与背景图像进行差异化处理
    diff = cv2.absdiff(frame, background)
    gray = cv2.cvtColor(diff, cv2.COLOR_BGR2GRAY)
    _, thresh = cv2.threshold(gray, 30, 255, cv2.THRESH_BINARY)
    dilated = cv2.dilate(thresh, None, iterations=2)

    # 寻找轮廓
    contours = cv2.findContours(dilated, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)[0]

    for contour in contours:
        # 如果轮廓的面积大于一定阈值,则认为在排泥
        if cv2.contourArea(contour) > 500:
            # 更新起始时间
            start_time = time.time()

            # 如果报警未触发,则触发报警
            if not alarm_triggered:
                alarm_triggered = True
                winsound.PlaySound("alert.wav", winsound.SND_ASYNC)

    # 如果排泥时间超过1分钟,则停止报警
    if alarm_triggered and time.time() - start_time > alarm_duration:
        alarm_triggered = False

    # 显示图像
    cv2.imshow("Frame", frame)
    cv2.imshow("Difference", dilated)

    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

cap.release()
cv2.destroyAllWindows()
``
NameError name frame is not defined怎么修改这个bug 完整代码如下:import cv2import numpy as npimport timeimport winsound# 读取背景图像background = cv2imreadDbackgroundjpgbackground = cv2resizebackground frameshape1 frame

原文地址: http://www.cveoy.top/t/topic/hYuO 著作权归作者所有。请勿转载和采集!

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