'''
1调取摄像头，优先外接，其后自身摄像头
2按照时间保存图片，名称yyyymmddhh24miss
3邮件发送，邮箱固定，密码存在d盘txt文件
'''
import time,os,cv2
from PIL import Image, ImageEnhance
import numpy as np
import smtplib #发送邮件模块
from email.mime.text import MIMEText #定义邮件内容
from email.mime.multipart import MIMEMultipart #用于传送附件
from email.header import Header
from email.utils import formataddr
#第一步获取正常登陆的邮箱名称等信息
def get_email_user(text_list):
if len(text_list) != 4:
user = '[email protected]'
password = 'xxxx'
smtpserver = 'smtp.163.com'
receives = '[email protected]'
else:
user,password,smtpserver,receives = text_list
user_dict ={'user':user,'password':password,'smtpserver':smtpserver,'receives':receives}
return user_dict
#邮件推送
def email_out(user,password,smtpserver,sender,receives,title,content,send_file):
'''
:param user: 发送邮箱用户名
:param password:发送邮箱密码
:param smtpserver:发送服务器
:param sender:发送方邮箱
:param receives:接收方邮箱
:param title:邮件标题
:param content:邮件正文
:param send_file:邮件附件
:return:
'''
#提取当前日期
in_time = get_today_time()
#获取文件后缀
tuple_text = os.path.splitext(send_file)
#print('tuple_text',tuple_text[1])
# 发送邮件主题和内容
subject = title
#文字描述中 \n 替换成
，头尾
content_head = '尊敬的领导，您好：
'
content_tail = '
此致
敬礼
支撑中心
'
content_new = content_head + content.replace('\\n','
').replace('^', ' ') + content_tail
send_file_path = open(send_file, 'rb').read() # 'rb'表示r读取，b表示二进制方式读取
att = MIMEText(send_file_path, 'base64', 'utf-8') # 调用传送附件模块，传送附件
att["Content-Type"] = 'application/octet-stream'
# file_name 主题名加原来文件名后缀
file_name = title + '_' + in_time[0:8] + tuple_text[1]
att["Content-Disposition"] = 'attachment;filename=%s' % Header(file_name,'utf-8').encode() # 附件描述外层要用单引号
# 构建发送与接收信息
msgRoot = MIMEMultipart() # 发送附件的方法定义为一个变量
msgRoot.attach(MIMEText(content_new, 'html', 'utf-8')) # 发送附件的方法中嵌套发送正文的方法
msgRoot['subject'] = subject
#接收人显示内容
msgRoot['From'] = formataddr((Header("业支中心", 'utf-8').encode(), sender))
#msgRoot['From'] = sender #显示发送人邮箱
#msgRoot['From'] ='[email protected]' #可以设置接收者看到的发送人邮箱
msgRoot['Bcc'] = receives
msgRoot.attach(att) # 添加附件到正文中
# SSL协议端口号要使用465
smtp = smtplib.SMTP_SSL(smtpserver, 465)
# HELO 向服务器标识用户身份
smtp.helo(smtpserver)
# 服务器返回结果确认
smtp.ehlo(smtpserver)
# 登录邮箱服务器用户名和密码
smtp.login(user, password)
smtp.sendmail(sender, receives, msgRoot.as_string())
smtp.quit()
return "发送成功"
#今天时间计算
def get_today_time():
ct = time.time()
local_time = time.localtime(ct)
data_head = time.strftime("%Y%m%d%H%M%S", local_time)
data_secs = abs(ct - round(ct)) * 1000
time_stamp = "%s%03d" % (data_head, data_secs)
return time_stamp
#图像人脸识别
def Face_comparison(img):
faces_list = []
eye_list = []
#转黑白图片
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
#人脸识别
faces = faceCascade.detectMultiScale(gray,1.1)
#看数量
for (x, y, w, h) in faces:
#print('xywh', (x, y, w, h))
if w >= 10: # 图像宽超过10才保存，因为太小的误判可能性更大
cropped = gray[y:y + w, x:x + h]
# 加入眼睛识别，如果存在眼睛在保存
eye = faceCascade_eye.detectMultiScale(cropped, 1.1)
if len(eye) > 0:
for (eye_x, eye_y, eye_w, eye_h) in eye:
if eye_w >= 1:
eye_list.append([eye_x + x, eye_y + y, eye_w, eye_h])
#print('eye_list', len(eye_list))
faces_list.append([x, y, w, h])
return faces_list,eye_list
#调用摄像头
def get_capture(title):
#print('title',title)
capture_1 = cv2.VideoCapture(1, cv2.CAP_DSHOW)
capture_0 = cv2.VideoCapture(0, cv2.CAP_DSHOW)
if capture_1.isOpened():
capture = cv2.VideoCapture(1, cv2.CAP_DSHOW)
elif capture_0.isOpened():
capture = cv2.VideoCapture(0, cv2.CAP_DSHOW)
while (capture.isOpened()):
retval, image = capture.read()
#人脸图片锐化函数调用
image = get_image_enhance(image)
#调用人脸识别
faces_list,eye_list = Face_comparison(image)
# 根据获取数量进行绘制外框
if len(faces_list) >= 1:
for (x, y, w, h) in faces_list:
cv2.rectangle(image, (x -1, y -1), (x + w +1, y + h +1), (0, 0, 255), 1)
# 字体样式
font = cv2.FONT_HERSHEY_TRIPLEX
# 字体系数
font_xs = round(image.shape[0] / 768, 2)
#图片左上角标记
cv2.putText(image,title,(5, 15), font, round(0.6 * font_xs, 1), (0, 0, 255))
break
else:
continue
time.sleep(0.3)
return image
#文本获取，用于邮箱信息读取
def email_user():
with open('D:\\get_capture_file\\email_user.txt','r') as file:
text = file.readlines()[0]
text_list = text.split(';')
return text_list
#网上传闻可以增加清晰度
def get_image_enhance(img_cv):
# opencv转换PIL
img_pil = Image.fromarray(cv2.cvtColor(img_cv, cv2.COLOR_BGR2RGB))
# 增强锐度
sharpness = ImageEnhance.Sharpness(img_pil)
img_pil = sharpness.enhance(1.5)
# 设置增强因子
enhancer = ImageEnhance.Sharpness(img_pil)
factor = 2.0
# 增强图片
img_pil = enhancer.enhance(factor)
# PIL转换opencv
img_cv = cv2.cvtColor(np.asarray(img_pil), cv2.COLOR_RGB2BGR)
#返回opencv图片
return img_cv
if __name__ == '__main__':
#加载人脸模型
faceCascade = cv2.CascadeClassifier("D:\\get_capture_file\\moxing\\haarcascade_frontalface_default.xml")
faceCascade_eye = cv2.CascadeClassifier("D:\\get_capture_file\\moxing\\haarcascade_eye.xml")
# 循环执行
while True:
text_list = email_user()
print('text:',text_list)
day = get_today_time()
#print('day:',day)
user_dict = get_email_user(text_list)
#print('user_dict:', user_dict)
user,password,smtpserver,receives = user_dict['user'],user_dict['password'],user_dict['smtpserver'],user_dict['receives']
#邮件名称与附件名
title = 'Face_comparison_'+day
send_file='D:/get_capture_file/image/'+ title+'.jpg'
#调用
# 加载摄像头，判断是外摄像还是自备
image = get_capture(title)
#将图片存入文件内
print('send_file',send_file)
cv2.imwrite(send_file, image)
# 获取图像尺寸
height, width, channels = image.shape
print(height, width)
#邮件发送
email_st = '默认状态'
try:email_st = email_out(user,password,smtpserver,user,receives,title,title,send_file)
except:email_st = '发送异常'
print('email_st',email_st)
#失败反馈
try:time.sleep(30)
except:pass
