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# 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 os.path as osp
import glob
import shutil
import subprocess
from setuptools import find_packages, setup
# ============== version definition ==============
PPDET_VERSION = "0.0.0"
def parse_version():
return PPDET_VERSION.replace('-', '')
def git_commit():
try:
cmd = ['git', 'rev-parse', 'HEAD']
git_commit = subprocess.Popen(
cmd,
stdout=subprocess.PIPE, ).communicate()[0].strip()
git_commit = git_commit.decode()
except:
git_commit = 'Unknown'
return str(git_commit)
def write_version_py(filename='ppdet/version.py'):
ver_str = """# THIS FILE IS GENERATED FROM PADDLEPADDLE SETUP.PY
#
full_version = '%(version)s'
commit = '%(commit)s'
"""
_git_commit = git_commit()
with open(filename, 'w') as f:
f.write(ver_str % {'version': PPDET_VERSION, 'commit': _git_commit})
write_version_py()
# ============== version definition ==============
def readme():
with open('README.md', encoding='utf-8') as f:
content = f.read()
return content
def parse_requirements(fname):
with open(fname, encoding="utf-8-sig") as f:
requirements = f.readlines()
return requirements
def package_model_zoo():
cur_dir = osp.dirname(osp.realpath(__file__))
cfg_dir = osp.join(cur_dir, "configs")
cfgs = glob.glob(osp.join(cfg_dir, '*/*.yml'))
valid_cfgs = []
for cfg in cfgs:
# exclude dataset base config
if osp.split(osp.split(cfg)[0])[1] not in ['datasets']:
valid_cfgs.append(cfg)
model_names = [
osp.relpath(cfg, cfg_dir).replace(".yml", "") for cfg in valid_cfgs
]
model_zoo_file = osp.join(cur_dir, 'ppdet', 'model_zoo', 'MODEL_ZOO')
with open(model_zoo_file, 'w') as wf:
for model_name in model_names:
wf.write("{}\n".format(model_name))
return [model_zoo_file]
packages = [
'ppdet',
'ppdet.core',
'ppdet.data',
'ppdet.engine',
'ppdet.metrics',
'ppdet.modeling',
'ppdet.model_zoo',
'ppdet.slim',
'ppdet.utils',
]
if __name__ == "__main__":
setup(
name='paddledet',
packages=find_packages(exclude=("configs", "tools", "deploy")),
package_data={'ppdet.model_zoo': package_model_zoo()},
author='PaddlePaddle',
version=parse_version(),
install_requires=parse_requirements('./requirements.txt'),
description='Object detection and instance segmentation toolkit based on PaddlePaddle',
long_description=readme(),
long_description_content_type='text/markdown',
url='https://github.com/PaddlePaddle/PaddleDetection',
download_url='https://github.com/PaddlePaddle/PaddleDetection.git',
keywords=['ppdet paddle ppyolo'],
classifiers=[
'Intended Audience :: Developers',
'License :: OSI Approved :: Apache Software License',
'Operating System :: OS Independent',
'Natural Language :: Chinese (Simplified)',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8', 'Topic :: Utilities'
],
license='Apache License 2.0',
ext_modules=[])
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