48 lines
1.4 KiB
Python
48 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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try:
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from paddle_serving_server_gpu.pipeline import PipelineClient
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except ImportError:
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from paddle_serving_server.pipeline import PipelineClient
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import base64
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import os
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client = PipelineClient()
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client.connect(['127.0.0.1:9994'])
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image_path = "../../drink_dataset_v2.0/test_images/100.jpeg"
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def bytes_to_base64(image_bytes: bytes) -> bytes:
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"""encode bytes using base64 algorithm
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Args:
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image_bytes (bytes): bytes to be encoded
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Returns:
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bytes: base64 bytes
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"""
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return base64.b64encode(image_bytes).decode('utf8')
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if __name__ == "__main__":
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with open(os.path.join(".", image_path), 'rb') as file:
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image_bytes = file.read()
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image_base64 = bytes_to_base64(image_bytes)
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for i in range(1):
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ret = client.predict(
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feed_dict={"image": image_base64}, fetch=["result"])
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print(ret)
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