forked from PulseFocusPlatform/PulseFocusPlatform
41 lines
1.3 KiB
Python
41 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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import sys
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import numpy as np
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from paddle_serving_client import Client
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from paddle_serving_app.reader import *
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import cv2
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preprocess = Sequential([
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File2Image(), BGR2RGB(), Resize(
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(608, 608), interpolation=cv2.INTER_LINEAR), Div(255.0), Transpose(
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(2, 0, 1))
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])
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postprocess = RCNNPostprocess("label_list.txt", "output", [608, 608])
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client = Client()
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client.load_client_config("serving_client/serving_client_conf.prototxt")
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client.connect(['127.0.0.1:9393'])
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im = preprocess(sys.argv[1])
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fetch_map = client.predict(
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feed={
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"image": im,
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"im_size": np.array(list(im.shape[1:])),
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},
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fetch=["multiclass_nms_0.tmp_0"])
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fetch_map["image"] = sys.argv[1]
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postprocess(fetch_map)
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