【OpenCV】使用Python和OpenCV实现火焰检测

1、 项目源码和结构（转） 

https://github.com/mushfiq1998/fire-detection-python-opencv

2、 运行环境

# 安装playsound：用于播放报警声音

pip install playsound

# 安装opencv-python：cv2用于图像和视频处理，特别是用于检测火灾

pip install opencv-python

3、 fireDetection.py

import cv2         # Library for openCV
import threading   # Library for threading -- which allows code to run in backend
import playsound   # Library for alarm sound
import smtplib     # Library for email sending# To access xml file which includes positive and negative images of fire. 
# (Trained images) File is also provided with the code.
fire_cascade = cv2.CascadeClassifier('fire_detection_cascade_model.xml')# To start camera this command is used "0" for laptop inbuilt camera 
# and "1" for USB attahed camera
# vid = cv2.VideoCapture(0) vid = cv2.VideoCapture("videos\\fire2.mp4")
runOnce = False # created boolean# defined function to play alarm post fire detection using threading
def play_alarm_sound_function(): # to play alarm # mp3 audio file is also provided with the code.playsound.playsound('fire_alarm.mp3',True) print("Fire alarm end") # to print in consol# Defined function to send mail post fire detection using threading
def send_mail_function(): recipientmail = "add recipients mail" # recipients mailrecipientmail = recipientmail.lower() # To lower case mailtry:server = smtplib.SMTP('smtp.gmail.com', 587)server.ehlo()server.starttls()# Senders mail ID and passwordserver.login("add senders mail", 'add senders password') # recipients mail with mail messageserver.sendmail('add recipients mail', recipientmail, "Warning fire accident has been reported") # to print in consol to whome mail is sentprint("Alert mail sent sucesfully to {}".format(recipientmail))server.close() ## To close serverexcept Exception as e:print(e) # To print error if anywhile(True):Alarm_Status = False# Value in ret is True # To read video frameret, frame = vid.read() # To convert frame into gray colorgray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) # to provide frame resolutionfire = fire_cascade.detectMultiScale(frame, 1.2, 5) ## to highlight fire with square for (x,y,w,h) in fire:cv2.rectangle(frame,(x-20,y-20),(x+w+20,y+h+20),(255,0,0),2)roi_gray = gray[y:y+h, x:x+w]roi_color = frame[y:y+h, x:x+w]print("Fire alarm initiated")# To call alarm threadthreading.Thread(target=play_alarm_sound_function).start()  if runOnce == False:print("Mail send initiated")# To call alarm threadthreading.Thread(target=send_mail_function).start() runOnce = Trueif runOnce == True:print("Mail is already sent once")runOnce = Truecv2.imshow('frame', frame)if cv2.waitKey(1) & 0xFF == ord('q'):break

• 加载训练模型：代码加载预训练的机器学习模型fire_detection_cascade_model.xml（XML 文件），该模型可以检测图像中的火灾。
• 设置视频源：设置视频输入源，可以是笔记本电脑内置摄像头，也可以是外接USB 摄像头。该代码当前配置为从名为“fire2.mp4”的文件中读取视频。
• 播放报警声音：定义播放报警声音的函数play_alarm_sound_function()，该函数在后台运行（线程）并播放名为“fire_alarm.mp3”的警报声音文件。
• 发送电子邮件：send_mail_function()定义了另一个函数来发送电子邮件。它使用 Gmail 的 SMTP 服务器向指定收件人发送有关火灾检测的警告电子邮件。代码中需要提供发件人的电子邮件和密码。

4、结果