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38 lines
1.3 KiB
Python
38 lines
1.3 KiB
Python
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# -*- coding: utf-8 -*-
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import requests
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import json
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import cv2
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import base64
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import os, sys
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import time
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def cv2_to_base64(image):
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#data = cv2.imencode('.jpg', image)[1]
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return base64.b64encode(image).decode(
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'utf8') #data.tostring()).decode('utf8')
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headers = {"Content-type": "application/json"}
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url = "http://127.0.0.1:9292/ocr/prediction"
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test_img_dir = "../../doc/imgs/"
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for img_file in os.listdir(test_img_dir):
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with open(os.path.join(test_img_dir, img_file), 'rb') as file:
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image_data1 = file.read()
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image = cv2_to_base64(image_data1)
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data = {"feed": [{"image": image}], "fetch": ["res"]}
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r = requests.post(url=url, headers=headers, data=json.dumps(data))
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print(r.json())
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