python 人脸识别以及条码识别（快递出库软件）

import csv
import time
import cv2
import pyzbar.pyzbar as pyzbar
from PIL import Image, ImageDraw, ImageFont
import os
import pygame
from playsound import playsound
# -----------------time----------
time1 = (time.strftime("%Y!%m@%d(%H*%M)%S`", time.localtime()))
time2 = time1.replace('!', '年')
time3 = time2.replace('@', '月')
time4 = time3.replace('(', '日')
time5 = time4.replace('*', '时')
time6 = time5.replace(')', '分')
timenow = time6.replace('`', '秒')
timeTay = (time.strftime("%Y-%m-%d", time.localtime()))
# -----------------time done----
#标致跳出循环
barcodeData1 = ''
#条形码摄像头为0
barCodeCapture = cv2.VideoCapture(0, cv2.CAP_DSHOW)
FaceCapture=cv2.VideoCapture(1, cv2.CAP_DSHOW)
Files = "./logo.txt" # 新建一个日志，方便查阅（不需要可以删除）
takeAwayUrl='./Util/takeAway.mp3'

def face_detect_demo(img,url):
# 计数用
num = 0
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# 加载特征数据
face_detector = cv2.CascadeClassifier(
'D:/developmentTools/OpenCV/opencv/sources/data/haarcascades/haarcascade_frontalface_default.xml')
faces = face_detector.detectMultiScale(gray,scaleFactor=1.88,minNeighbors=1)
if len(faces) >0:
for face in faces:
x, y, w, h=face
# print(x, y, w, h)
if w > 150 and h > 150:
cv2.rectangle(img, (x, y), (x + w, y + h), color=(0, 255, 0), thickness=2)
img_name="%s/%d.jpg" % (url,num)
cv2.imwrite(img_name,img,[int(cv2.IMWRITE_PNG_COMPRESSION), 9])
num+=1
if num>2:
break
# 保存图像，把灰度图片看成二维数组来检测人脸区域
# (这里是建立了data的文件夹，当然也可以设置为其他路径或者调用数据库)

 

while (1):
flag, frame = barCodeCapture.read()
if not flag:
break
FaceFlag, FaceFrame = FaceCapture.read()
if not FaceFlag:
break
test = pyzbar.decode(frame)
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
barcodes = pyzbar.decode(gray)
for barcode in barcodes:
(x, y, w, h) = barcode.rect
cv2.rectangle(frame, (x, y), (x + w, y + h), (255, 255, 0), 2)
barcodeData = barcode.data.decode("utf-8")
barcodeType = barcode.type
if barcodeData == '' or barcodeData != barcodeData1:
barcodeData1 = barcodeData
url='./'+timeTay+'/' + barcodeData+'/'
if not os.path.exists(url):
os.makedirs(url)
codeImgUrl = url+ '/条码图片.jpg'
# ======================可以不需要，这是在图片上进行标注，里面采用了字体文件==============================
img_PIL = Image.fromarray(cv2.cvtColor(frame, cv2.COLOR_BGR2RGB))
font = ImageFont.truetype('arialbd.ttf', 25) # 前面是字体文件，后面是字号
fillColor = (0, 255, 0)
position = (x-25, y - 25)
strl = barcodeData
draw = ImageDraw.Draw(img_PIL)
draw.text(position, strl, font=font, fill=fillColor)
img_PIL.save(codeImgUrl, 'jpeg') # 保存一张标记过的图片
# ====================================================
#写入日志文件
with open(Files, 'a+',encoding='utf-8') as w:
csv_write = csv.writer(w)
date = ['类型：' + barcodeType + ' 条码：' + barcodeData + ' 时间：' + timenow]
csv_write.writerow(date)

print("Recognize result>>> type： {0} content： {1}".format(barcodeType, barcodeData))
#进行捕获脸部
face_detect_demo(FaceFrame,url)
# os.system(takeAwayUrl)
playsound(takeAwayUrl)
else:
pass


cv2.imshow('codeBar', frame)
cv2.imshow('Face', FaceFrame)
k = cv2.waitKey(1)
if k == 27:
break
cv2.destroyAllWindows()
barCodeCapture.release()
FaceCapture.release()