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Python

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#coding=utf-8
from wxpy import *
import numpy
import cv2
import time
import os
from hyperlpr import pipline
def recognize(filename):
image = cv2.imread(filename)
#通过文件名读入一张图片 放到 image中
return pipline.RecognizePlateJson(image)
#识别一张图片并返回json结果
# 人脸检测的功能这里用到了OpenCV里面的人脸检测代码
# 由于接收和处理图片都需要一点点时间 这里偷懒直接用sleep
# 建议更改成多进程模式,否则容易造成进程混乱
bot = Bot(console_qr=True, cache_path=True)
# friend = bot.friends().search(u'庾金科')[0]
# friend.send(u'你好,车牌识别功能已开启测试')
@bot.register(Friend,PICTURE)
def face_msg(msg):
image_name = msg.file_name
friend = msg.chat
print msg.chat
print '接收图片'
# face(image_name)
msg.get_file('' + msg.file_name)
# time.sleep(1)
json_text = recognize(image_name)
# face(image_name)
# time.sleep(0.5)
msg.reply(json_text)
msg.reply_image("0.jpg")
# msg.reply(json_text)
os.remove(image_name)
embed()