mirror of
https://github.com/PaddlePaddle/PaddleOCR.git
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46 lines
1.4 KiB
Python
46 lines
1.4 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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import numpy as np
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import requests
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import json
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import base64
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import os
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import argparse
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parser = argparse.ArgumentParser(description="args for paddleserving")
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parser.add_argument("--image_dir", type=str, default="../../doc/imgs/")
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args = parser.parse_args()
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def cv2_to_base64(image):
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return base64.b64encode(image).decode('utf8')
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url = "http://127.0.0.1:9998/ocr/prediction"
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test_img_dir = args.image_dir
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for idx, img_file in enumerate(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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for i in range(1):
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data = {"key": ["image"], "value": [image]}
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r = requests.post(url=url, data=json.dumps(data))
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print(r.json())
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print("==> total number of test imgs: ", len(os.listdir(test_img_dir)))
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