[fd9ef4]: / misc / download_pretrained_model.py

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# Modified from https://github.com/PaddlePaddle/PaddleSeg/blob/release/2.3/paddleseg/utils/download.py
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os
import shutil
import requests
import time
import sys
import zipfile
lasttime = time.time()
FLUSH_INTERVAL = 0.1
def progress(str, end=False):
global lasttime
if end:
str += "\n"
lasttime = 0
if time.time() - lasttime >= FLUSH_INTERVAL:
sys.stdout.write("\r%s" % str)
lasttime = time.time()
sys.stdout.flush()
def _download_file(url, savepath, print_progress):
if print_progress:
print("Connecting to {}".format(url))
r = requests.get(url, stream=True, timeout=15)
total_length = r.headers.get('content-length')
if total_length is None:
with open(savepath, 'wb') as f:
shutil.copyfileobj(r.raw, f)
else:
with open(savepath, 'wb') as f:
dl = 0
total_length = int(total_length)
if print_progress:
print("Downloading %s" % os.path.basename(savepath))
for data in r.iter_content(chunk_size=4096):
dl += len(data)
f.write(data)
if print_progress:
done = int(50 * dl / total_length)
progress("[%-50s] %.2f%%" %
('=' * done, float(100 * dl) / total_length))
if print_progress:
progress("[%-50s] %.2f%%" % ('=' * 50, 100), end=True)
def _uncompress_file_zip(filepath, extrapath):
files = zipfile.ZipFile(filepath, 'r')
filelist = files.namelist()
rootpath = filelist[0]
total_num = len(filelist)
for index, file in enumerate(filelist):
files.extract(file, extrapath)
yield total_num, index, rootpath
files.close()
yield total_num, index, rootpath
def download_file_and_uncompress(url,
savepath=None,
print_progress=True,
replace=False,
extrapath=None,
delete_file=True):
if savepath is None:
savepath = "."
if extrapath is None:
extrapath = "."
savename = url.split("/")[-1]
if not savename.endswith("zip"):
raise NotImplementedError(
"Only support zip file, but got {}!".format(savename))
if not os.path.exists(savepath):
os.makedirs(savepath)
savepath = os.path.join(savepath, savename)
savename = ".".join(savename.split(".")[:-1])
if replace:
if os.path.exists(savepath):
shutil.rmtree(savepath)
if not os.path.exists(savename):
if not os.path.exists(savepath):
_download_file(url, savepath, print_progress)
if print_progress:
print("Uncompress %s" % os.path.basename(savepath))
for total_num, index, rootpath in _uncompress_file_zip(savepath, extrapath):
if print_progress:
done = int(50 * float(index) / total_num)
progress(
"[%-50s] %.2f%%" % ('=' * done, float(100 * index) / total_num))
if print_progress:
progress("[%-50s] %.2f%%" % ('=' * 50, 100), end=True)
if delete_file:
os.remove(savepath)
return rootpath
if __name__ == "__main__":
urls = [
"https://github.com/ShiqiYu/OpenGait/releases/download/v1.0/pretrained_casiab_model.zip",
"https://github.com/ShiqiYu/OpenGait/releases/download/v1.1/pretrained_oumvlp_model.zip",
"https://github.com/ShiqiYu/OpenGait/releases/download/v1.1/pretrained_grew_model.zip"]
for url in urls:
download_file_and_uncompress(
url=url, extrapath='output')
gaitgl_grew = ['https://github.com/ShiqiYu/OpenGait/releases/download/v1.1/pretrained_grew_gaitgl.zip',
'https://github.com/ShiqiYu/OpenGait/releases/download/v1.1/pretrained_grew_gaitgl_bnneck.zip']
for gaitgl in gaitgl_grew:
download_file_and_uncompress(
url=gaitgl, extrapath='output/GREW/GaitGL')
print("Pretrained model download success!")