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- #!/usr/bin/python
- # -*- coding: UTF-8 -*-
- """
- 使用自建的接口识别来自本地的验证码,测试识别某个文件耗时
- 需要配置参数:
- remote_url = "https://www.xxxxxxx.com/getImg" 验证码链接地址
- rec_times = 1 识别的次数
- """
- import datetime
- import requests
- from io import BytesIO
- import time
- import json
- import os
- from log_ware import LogWare
- logger = LogWare().get_logger()
- with open("conf/sample_config.json", "r") as f:
- sample_conf = json.load(f)
- # 配置参数
- env = sample_conf["env"] # 环境
- webserver_recognize_url = sample_conf['webserver_recognize_url'] # 识别服务器IP
- webserver_recognize_port = sample_conf['webserver_recognize_port'] # 识别服务器端口
- def recognize_captcha(index, test_path, save_path, image_suffix):
- image_file_name = 'captcha.{}'.format(image_suffix)
- with open(test_path, "rb") as f:
- content = f.read()
- # 识别
- s = time.time()
- url = "http://{}:{}/b".format(webserver_recognize_url, str(webserver_recognize_port))
- files = {'image_file': (image_file_name, BytesIO(content), 'application')}
- r = requests.post(url=url, files=files)
- e = time.time()
- # 测试参数
- result_dict = json.loads(r.text)["value"] # 响应
- predict_text = result_dict["value"] # 识别结果
- whole_time_for_work = int((e - s) * 1000)
- speed_time_by_rec = result_dict["speed_time(ms)"] # 模型识别耗时
- request_time_by_rec = whole_time_for_work - speed_time_by_rec # 请求耗时
- now_time = datetime.datetime.now().strftime('%Y-%m-%d@%H:%M:%S') # 当前时间
- # 记录日志
- log = "{},{},{},{},{},{}\n" \
- .format(index, predict_text, now_time, whole_time_for_work, speed_time_by_rec, request_time_by_rec)
- with open("./test.csv", "a+") as f:
- f.write(log)
- # 输出结果到控制台
- logger.debug("次数:%s, 结果:%s, 时刻:%s, 总耗时:%s ms, 识别:%s ms, 请求:%s ms",
- index, predict_text, now_time, whole_time_for_work, speed_time_by_rec, request_time_by_rec)
- if env.lower() == 'dev':
- # 保存文件
- img_name = "{}_{}.{}".format(predict_text, str(time.time()).replace(".", ""), image_suffix)
- path = os.path.join(save_path, img_name)
- with open(path, "wb") as f:
- f.write(content)
- def main():
- # 配置相关参数
- test_file = "sample/test/0001_15430304076164024.png" # 测试识别的图片路径
- save_path = sample_conf["local_image_dir"] # 保存的地址
- image_suffix = sample_conf["image_suffix"] # 文件后缀
- for i in range(20000):
- recognize_captcha(i, test_file, save_path, image_suffix)
- if __name__ == '__main__':
- main()
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