# 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. # -*- coding: utf-8 -*- import requests import json import cv2 import base64 import os, sys import time def cv2_to_base64(image): #data = cv2.imencode('.jpg', image)[1] return base64.b64encode(image).decode( 'utf8') #data.tostring()).decode('utf8') headers = {"Content-type": "application/json"} url = "http://127.0.0.1:9292/ocr/prediction" test_img_dir = "../../../doc/imgs/" for idx, img_file in enumerate(os.listdir(test_img_dir)): with open(os.path.join(test_img_dir, img_file), 'rb') as file: image_data1 = file.read() image = cv2_to_base64(image_data1) for i in range(1): data = {"feed": [{"image": image}], "fetch": ["save_infer_model/scale_0.tmp_1"]} r = requests.post(url=url, headers=headers, data=json.dumps(data)) print(r.json()) test_img_dir = "../../../doc/imgs/" print("==> total number of test imgs: ", len(os.listdir(test_img_dir)))