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@ -9,37 +9,20 @@ from hyperlpr import pipline
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def recognize(filename):
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image = cv2.imread(filename)
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#通过文件名读入一张图片 放到 image中
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return pipline.RecognizePlateJson(image)
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#识别一张图片并返回json结果
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# 人脸检测的功能,这里用到了OpenCV里面的人脸检测代码
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# 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
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# 建议更改成多进程模式,否则容易造成进程混乱
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bot = Bot(console_qr=True, cache_path=True)
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# friend = bot.friends().search(u'庾金科')[0]
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# friend.send(u'你好,车牌识别功能已开启测试')
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@bot.register(Friend,PICTURE)
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def face_msg(msg):
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def pr_msg(msg):
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image_name = msg.file_name
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friend = msg.chat
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print msg.chat
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print '接收图片'
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# face(image_name)
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msg.get_file('' + msg.file_name)
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# time.sleep(1)
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json_text = recognize(image_name)
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# face(image_name)
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# time.sleep(0.5)
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msg.reply(json_text)
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msg.reply_image("0.jpg")
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# msg.reply(json_text)
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os.remove(image_name)
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embed()
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embed()
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