yolov5跌倒检测,当检测到有人跌倒,自动发送邮件,请写出代码
时间: 2023-12-10 13:02:20 浏览: 93
yolov5 摔倒检测 跌倒识别
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以下是一个基于YOLOv5的跌倒检测的Python代码示例,当检测到有跌倒事件时,会自动发送邮件给指定的收件人。需要安装OpenCV、PyTorch和smtplib库。
```python
import cv2
import torch
import smtplib
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
from email.mime.image import MIMEImage
from email.header import Header
# 加载YOLOv5模型
model = torch.hub.load('ultralytics/yolov5', 'yolov5s')
# 设置邮件发送者和接收者
sender = 'your_email@example.com'
password = 'your_password'
receiver = 'recipient_email@example.com'
# 初始化邮件内容
msg = MIMEMultipart()
msg['From'] = Header('Fall Detection System', 'utf-8')
msg['To'] = Header('Recipient', 'utf-8')
msg['Subject'] = Header('Fall Detected', 'utf-8')
# 开启摄像头
cap = cv2.VideoCapture(0)
while True:
# 读取摄像头捕获的帧
ret, frame = cap.read()
# 将帧转化为Tensor,并进行目标检测
results = model(frame)
# 如果检测到跌倒事件
if 'person' in results.names and 'fall' in results.names:
persons = results.pandas().xyxy[results.pandas().xyxy['name'] == 'person']
falls = results.pandas().xyxy[results.pandas().xyxy['name'] == 'fall']
for person in persons.iterrows():
for fall in falls.iterrows():
if person[1]['xmax'] > fall[1]['xmin'] and person[1]['xmin'] < fall[1]['xmax'] and person[1]['ymax'] > fall[1]['ymin'] and person[1]['ymin'] < fall[1]['ymax']:
# 将跌倒事件的帧转化为图片附件,添加到邮件中
cv2.imwrite('fall.jpg', frame)
with open('fall.jpg', 'rb') as f:
img = MIMEImage(f.read())
img.add_header('Content-Disposition', 'attachment', filename='fall.jpg')
msg.attach(img)
# 发送邮件
try:
smtpObj = smtplib.SMTP('smtp.example.com', 587)
smtpObj.starttls()
smtpObj.login(sender, password)
smtpObj.sendmail(sender, receiver, msg.as_string())
print("邮件发送成功")
except smtplib.SMTPException:
print("Error: 无法发送邮件")
# 显示帧
cv2.imshow('frame', frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
# 释放资源
cap.release()
cv2.destroyAllWindows()
```
请注意,这只是一个简单的示例代码,实际应用中需要根据具体情况进行修改和完善。
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