offer script to download model
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# Modified from https://github.com/PaddlePaddle/PaddleSeg/blob/release/2.3/paddleseg/utils/download.py
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# 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 os
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import shutil
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import requests
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import time
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import sys
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import zipfile
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lasttime = time.time()
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FLUSH_INTERVAL = 0.1
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def progress(str, end=False):
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global lasttime
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if end:
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str += "\n"
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lasttime = 0
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if time.time() - lasttime >= FLUSH_INTERVAL:
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sys.stdout.write("\r%s" % str)
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lasttime = time.time()
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sys.stdout.flush()
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def _download_file(url, savepath, print_progress):
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if print_progress:
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print("Connecting to {}".format(url))
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r = requests.get(url, stream=True, timeout=15)
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total_length = r.headers.get('content-length')
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if total_length is None:
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with open(savepath, 'wb') as f:
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shutil.copyfileobj(r.raw, f)
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else:
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with open(savepath, 'wb') as f:
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dl = 0
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total_length = int(total_length)
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if print_progress:
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print("Downloading %s" % os.path.basename(savepath))
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for data in r.iter_content(chunk_size=4096):
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dl += len(data)
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f.write(data)
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if print_progress:
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done = int(50 * dl / total_length)
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progress("[%-50s] %.2f%%" %
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('=' * done, float(100 * dl) / total_length))
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if print_progress:
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progress("[%-50s] %.2f%%" % ('=' * 50, 100), end=True)
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def _uncompress_file_zip(filepath, extrapath):
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files = zipfile.ZipFile(filepath, 'r')
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filelist = files.namelist()
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rootpath = filelist[0]
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total_num = len(filelist)
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for index, file in enumerate(filelist):
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files.extract(file, extrapath)
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yield total_num, index, rootpath
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files.close()
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yield total_num, index, rootpath
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def download_file_and_uncompress(url,
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savepath=None,
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print_progress=True,
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replace=False,
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extrapath=None,
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delete_file=True):
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if savepath is None:
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savepath = "."
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if extrapath is None:
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extrapath = "."
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savename = url.split("/")[-1]
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if not savename.endswith("zip"):
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raise NotImplementedError(
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"Only support zip file, but got {}!".format(savename))
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if not os.path.exists(savepath):
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os.makedirs(savepath)
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savepath = os.path.join(savepath, savename)
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savename = ".".join(savename.split(".")[:-1])
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if replace:
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if os.path.exists(savepath):
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shutil.rmtree(savepath)
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if not os.path.exists(savename):
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if not os.path.exists(savepath):
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_download_file(url, savepath, print_progress)
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for total_num, index, rootpath in _uncompress_file_zip(savepath, extrapath):
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if print_progress:
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done = int(50 * float(index) / total_num)
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progress(
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"[%-50s] %.2f%%" % ('=' * done, float(100 * index) / total_num))
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if print_progress:
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progress("[%-50s] %.2f%%" % ('=' * 50, 100), end=True)
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if delete_file:
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os.remove(savepath)
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return rootpath
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if __name__ == "__main__":
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url = "https://github.com/ShiqiYu/OpenGait/releases/download/v1.0-beta/pretrained_model.zip"
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download_file_and_uncompress(
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url=url, extrapath='output')
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print("Pretrained model download success!")
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