基于smtp协议的QQ邮箱人脸识别AI（识别算法为百度 AIP）

import time
import imaplib
import email
import os
from aip import AipFace
import base64
import smtplib
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
from email.mime.image import MIMEImage
i = 0
print("\033[31m这里是Fionne的基于QQ邮箱通讯协议SMTP第三方服务器实现的AI人脸识别项目\033[0m\n")
print("\033[33m实现原理是利用Pycharm的email库实现smtp协议连接 time实现每延迟10s执行一次本代码\033[0m")
print('\033[34m在每次循环开始时，会将最新的邮件与上一次处理的邮件进行比较，如果是同一封邮件则跳过处理，否则进行处理并发送结果到目标邮箱。\033[0m\n\033[32m然后，更新上一次处理的邮件ID，并休眠10秒后再次执行循环\033[0m ')
print()
print()
print('\033[35m欲讨论请联系软件作者 Fionne [email protected]\033[0m')

""" 你的 APPID AK SK """
APP_ID = '44568385'
API_KEY = 'TnouKpQiiw4VhpxBuZ7GcYAq'
SECRET_KEY = 'AypjgUGqVZHgwZWEA7MDPs5rAjaHBNiI'//百度AIP算法识别

client = AipFace(APP_ID, API_KEY, SECRET_KEY)

# 上一次处理的邮件ID
last_email_id = None

while True:
    # 连接到QQ邮箱的IMAP服务器
    mail = imaplib.IMAP4_SSL("imap.qq.com")

    # 登录QQ邮箱
    mail.login("[email protected]", "smtp授权码")

    # 选择邮箱中的收件箱
    mail.select("inbox")

    # 搜索最新的邮件
    result, data = mail.search(None, "ALL")
    latest_email_id = data[0].split()[-1]

    # 如果是第一次执行或者有新邮件到达
    if last_email_id is None or latest_email_id != last_email_id:
        # 获取最新邮件的内容
        result, data = mail.fetch(latest_email_id, "(RFC822)")
        raw_email = data[0][1]
        email_message = email.message_from_bytes(raw_email)

        # 遍历邮件的附件
        for part in email_message.walk():
            if part.get_content_maintype() == "multipart":
                continue
            if part.get("Content-Disposition") is None:
                continue

            # 保存附件到本地
            filename = part.get_filename()
            if filename:
                filepath = os.path.join(r"C:\Users\路径\PycharmProjects\pythonProject", filename)
                with open(filepath, "wb") as f:
                    f.write(part.get_payload(decode=True))

        # 关闭连接
        mail.logout()

        file_path = r"C:\Users\路径\PycharmProjects\pythonProject\1227_1.jpg"
        with open(file_path, 'rb') as f:
            image = base64.b64encode(f.read()).decode('utf-8')

        imageType = "BASE64"

        """ 调用人脸检测 """
        result = client.detect(image, imageType)

        if 'result' in result and result['result'] is not None:
            face_num = result['result']['face_num']
            result_text = "图中有 {} 个人脸\n Fionne \n 开源链接直达：http://47.115.230.137//wordpress".format(face_num)
        else:
            result_text = '图中没有人脸\n Fionne \n 开源链接直达：http://47.115.230.137//wordpress'

        # 发送结果到目标邮箱
        smtp_server = "smtp.qq.com"
        smtp_port = 465
        sender_email = "[email protected]"
        sender_password = "授权码"
        receiver_email = "[email protected]"

        message = MIMEMultipart()
        message["Subject"] = "人脸检测结果"
        message["From"] = sender_email
        message["To"] = receiver_email

        text = MIMEText(result_text)
        message.attach(text)

        with open(file_path, 'rb') as f:
            image = MIMEImage(f.read())
            image.add_header('Content-Disposition', 'attachment', filename=os.path.basename(file_path))
            message.attach(image)

        with smtplib.SMTP_SSL(smtp_server, smtp_port) as server:
            server.login(sender_email, sender_password)
            server.sendmail(sender_email, receiver_email, message.as_string())

        print("\033[36m结果已发送到目标邮箱",'这是第',i,'次 个10s后的识别结果\033[0m')

        # 更新上一次处理的邮件ID
        last_email_id = latest_email_id

    # 休眠10秒
    time.sleep(10)
    i += 1