text: # Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  # from paddle_serving_server.pipeline import PipelineClient
  import numpy as np
  import requests
  import json
  import cv2
  import base64
  import os
  from time import *
  import threading
  
  
  def demo(url,data,i):
      begin_time = time()
      r = requests.post(url=url, data=json.dumps(data))
      end_time = time()
      run_time = end_time-begin_time
      print ('线程 %d 时间  %f '%(i,run_time))
      print(r.json())
  
  
  def cv2_to_base64(image):
      return base64.b64encode(image).decode('utf8')
  
  url = "http://127.0.0.1:9315/recognition/prediction"
  with open(os.path.join(".", "test.jpg"), 'rb') as file:
      image_data1 = file.read()
  image = cv2_to_base64(image_data1)
  
  for i in range(1):
      print(i)
      data = {"key": ["image"], "value": [image]}
      r = requests.post(url=url, data=json.dumps(data))
      print(r.json())
      #t = threading.Thread(target=demo, args=(url,data,i,))
      #t.start()
  
  
  
  
  