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45 lines
1.7 KiB
Python
45 lines
1.7 KiB
Python
# coding: utf8
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# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserve.
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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 os
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LOCAL_PATH = os.path.dirname(os.path.abspath(__file__))
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TEST_PATH = os.path.join(LOCAL_PATH, "../../../", "test")
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sys.path.append(TEST_PATH)
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from paddleseg.utils.download import download_file_and_uncompress
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model_urls = {
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"pphumanseg_lite_portrait_398x224":
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"https://paddleseg.bj.bcebos.com/dygraph/ppseg/ppseg_lite_portrait_398x224.tar.gz",
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"deeplabv3p_resnet50_os8_humanseg_512x512_100k":
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"https://paddleseg.bj.bcebos.com/dygraph/humanseg/train/deeplabv3p_resnet50_os8_humanseg_512x512_100k.zip",
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"fcn_hrnetw18_small_v1_humanseg_192x192":
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"https://paddleseg.bj.bcebos.com/dygraph/humanseg/train/fcn_hrnetw18_small_v1_humanseg_192x192.zip",
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"pphumanseg_lite_generic_human_192x192":
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"https://paddleseg.bj.bcebos.com/dygraph/humanseg/train/pphumanseg_lite_generic_192x192.zip",
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}
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if __name__ == "__main__":
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for model_name, url in model_urls.items():
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download_file_and_uncompress(
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url=url,
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savepath=LOCAL_PATH,
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extrapath=LOCAL_PATH,
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extraname=model_name)
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print("Pretrained model download success!")
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