sudo apt-get update
sudo apt-get upgrade

sudo apt-get install python3-pip
pip3 install opencv-python==3.4.6.27

#安装build-essential、cmake、git和pkg-configsudo apt-get install build-essential cmake git pkg-config
# jpeg格式图像工具包sudo apt-get install libjpeg8-dev // 安装tif格式图像工具包sudo apt-get install libtiff5-dev // 安装JPEG-2000图像工具包sudo apt-get install libjasper-dev // 安装png图像工具包sudo apt-get install libpng12-dev
#视频I/O包sudo apt-get install libavcodec-dev libavformat-dev libswscale-dev libv4l-dev

#务必安装该包后再编译opencv
sudo apt-get install libgtk2.0-dev

// 下载OpenCV3.4.6
wget -O opencv-3.4.6.zip https://gitee.com/asc0t6e/opencv/repository/archive/3.4.6.zip 
// 解压OpenCV
unzip opencv-3.4.6.zip
// 下载OpenCV_contrib库：wget -O opencv_contrib-3.4.6.zip https://gitee.com/asc0t6e/opencv_contrib/repository/archive/3.4.6.zip 
// 解压OpenCV_contrib库：unzip opencv_contrib-3.4.6.zip

#进入OpenCv目录cd opencv#新建release文件夹mkdir release#进入release文件夹cd release# 预编译cmake -D CMAKE_BUILD_TYPE=RELEASE \    -D CMAKE_INSTALL_PREFIX=/usr/local \    -D INSTALL_PYTHON_EXAMPLES=ON \    -D OPENCV_EXTRA_MODULES_PATH=~/opencv_contrib-3.4.6/modules \    -D WITH_FFMPEG=ON \    -D BUILD_EXAMPLES=ON ..
#用4个核心编译他make -j4sudo make install  sudo ldconfig

 sudo apt-get install tightvncserver

import cv2import time
#这个是你人脸检测训练好数据的文件目录FaceCascadePath="haarcascade_frontalface.xml"FaceCascade = cv2.CascadeClassifier(FaceCascadePath)
# 打开视频捕获设备video_capture = cv2.VideoCapture(0)
while True:    if not video_capture.isOpened():#检查它是否被初始化        time.sleep(5)        pass
    # 读视频帧    ret, frame = video_capture.read()#如果帧被正确读取，则为True
    # 转为灰度图像    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    # 调用分类器进行检测,如果有人脸返回一个列表    faces = FaceCascade.detectMultiScale(        gray,        scaleFactor=1.1,        minNei***ors=5,        minSize=(30, 30),        # flags=cv2.cv.CV_HAAR_SCALE_IMAGE    )    if len(faces)>0:        cv2.imwrite(str(int(time.time())) + '.jpg', frame)  # 存储为图像
    # 画矩形框    for (x, y, w, h) in faces:        cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
    # 显示视频    cv2.imshow('Video', frame)
    if cv2.waitKey(1) & 0xFF == ord('q'):        break
# 关闭摄像头设备video_capture.release()
# 关闭所有窗口cv2.destroyAllWindows()

# !/usr/bin/python# -*- coding: UTF-8 -*-
import smtplibfrom email.mime.multipart import MIMEMultipartfrom email.mime.application import MIMEApplicationfrom email.mime.text import MIMETextfrom email.header import Headerfrom email.mime.image import MIMEImageimport zipfileimport cv2import timeimage_list=[]#图片列表# 第三方 SMTP 服务mail_host = "smtp.163.com"  # 设置服务器mail_user = "[email protected]"  # 用户名mail_pass = "XXXXXXXXXXXXX"  # 口令receiver = '[email protected]'  #接收邮件def SendEamil(zip_file,image_file):    # 邮件内容    email_box = MIMEMultipart()#创建容器    # message = MIMEText("警戒警戒！莎莎检测到有人入侵！数据以保存喵~", 'plain', 'utf-8')#邮箱文字    # email_box.attach(message)#存入    email_box['From'] =  "Salsa<"+mail_user+ ">"#发送人    email_box ['To'] =  receiver#发给谁    email_box ['Subject'] = Header("入侵警报", 'utf-8')#标题
    #发送压缩文件    zip_apart = MIMEApplication(open(zip_file, 'rb').read())    zip_apart.add_header('Content-Disposition', 'attachment', filename=zip_file)    email_box.attach(zip_apart)    #添加表情包图片
    msgAlternative = MIMEMultipart('alternative')    email_box.attach(msgAlternative)
    mail_msg = """    <p>警戒警戒！莎莎检测到有人入侵！数据以保存喵~</p>    <p><img src="cid:dns_config"></p>    """    msgAlternative.attach(MIMEText(mail_msg, 'html', 'utf-8'))    # 指定图片为当前目录    file = open(image_file, "rb")    img_data = file.read()    file.close()    img = MIMEImage(img_data)    img.add_header('Content-ID', 'dns_config')    email_box.attach(img)    try:        smtpObj = smtplib.SMTP()        smtpObj.connect(mail_host, 25)  # 25 为 SMTP 端口号        smtpObj.login(mail_user, mail_pass)        smtpObj.sendmail(mail_user, receiver, email_box.as_string())        print("发送成功")        smtpObj.quit()        smtpObj.close()    except smtplib.SMTPException as e:        print(e)
def ZIP(time_name):    zip_file = zipfile.ZipFile(time_name+'.zip', 'w', zipfile.ZIP_DEFLATED)    # 把zfile整个目录下所有内容，压缩为new.zip文件    zip_file.write(time_name+'.jpg')    # 把c.txt文件压缩成一个压缩文件    # zip_file.write('c.txt',compress_type=zipfile.ZIP_DEFLATED)    zip_file.close()    return time_name+'.zip'

def FaceDetection():    FaceCascadePath = "haarcascade_frontalface.xml"    FaceCascade = cv2.CascadeClassifier(FaceCascadePath)    # FaceCascade = cv2.CascadeClassifier(config.FaceCascadePath)
    # 打开视频捕获设备    video_capture = cv2.VideoCapture(0)
    while True:        if not video_capture.isOpened():  # 检查它是否被初始化            time.sleep(5)            pass
        # 读视频帧        ret, frame = video_capture.read()  # 如果帧被正确读取，则为True        # 转为灰度图像        gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)        # 调用分类器进行检测,如果有人脸返回一个列表        faces = FaceCascade.detectMultiScale(            gray,            scaleFactor=1.1,            minNei***ors=5,            minSize=(30, 30),            # flags=cv2.cv.CV_HAAR_SCALE_IMAGE        )        if len(faces) > 0:            time_name=str(int(time.time()))            image_list.append(time_name)            time.sleep(1)            cv2.imwrite(time_name + '.jpg', frame)  # 存储为图像            if len(image_list)>4:#如果容器里面图片超过4张发送邮件，防止疯狂发送                zip_file=ZIP(time_name)                SendEamil(zip_file, "test.gif")                image_list.clear()
        # 画矩形框        for (x, y, w, h) in faces:            cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)        # 显示视频        cv2.imshow('Video', frame)        if cv2.waitKey(1) & 0xFF == ord('q'):            break    # 关闭摄像头设备    video_capture.release()    # 关闭所有窗口    cv2.destroyAllWindows()if __name__ == '__main__':    FaceDetection()

https://www.ascotbe.com/Medusa/Documentation/#/Bot

# !/usr/bin/python3import requests
payload = {    "app_key": "APP_KEY",#你开发者面板里面可以找到    "app_secret": "APP_SECRET",#你开发者面板里面可以找到    "target_type": "app",#由于我们是发送到手机上所以类型为app    "content": "警戒警戒！莎莎检测到有人入侵！数据以保存喵~"}
r = requests.post("https://api.pushed.co/1/push", data=payload)