ocr_web_client.py

# 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


class Timetool(object):
    def __init__(self, filename):
        self.filename = filename
        self.f = open(filename, "w+")
        self.buf = ""

    def write(self):
        self.f.write(self.buf)
        self.f.close()
        self.buf = ""
        self.f = open(self.filename, "a")

    def record(self, stage):
        self.buf += "%s : %.6f\n" % (stage, time.time())

    def next(self):
        self.buf += "-----\n"


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 = "imgs/"
t = Timetool("cli_time.log")
count = 0
for img_file in os.listdir(test_img_dir):
    count += 1
    t.record("client start")
    with open(os.path.join(test_img_dir, img_file), 'rb') as file:
        image_data1 = file.read()
    image = cv2_to_base64(image_data1)
    t.record("client image read")
    data = {"feed": [{"image": image}], "fetch": ["res"]}
    r = requests.post(url=url, headers=headers, data=json.dumps(data))
    print(r.json())
    t.record("client response")
if count == 500:
    t.write()