[Feature] Support mim (#376)
* Support mim extention * Fix lint. * Remove extra `demo` setting in mim related files.pull/370/head^2
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@ -112,6 +112,7 @@ data
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*.pkl.json
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*.log.json
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work_dirs/
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mmcls/.mim
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# Pytorch
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*.pth
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@ -1,3 +1,3 @@
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include mmcls/model-index.yml
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recursive-include mmcls/configs *.py *.yml
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recursive-include mmcls/tools *.sh *.py
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include mmcls/.mim/model-index.yml
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recursive-include mmcls/.mim/configs *.py *.yml
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recursive-include mmcls/.mim/tools *.py *.sh
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@ -85,6 +85,7 @@ We wish that the toolbox and benchmark could serve the growing research communit
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## Projects in OpenMMLab
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- [MMCV](https://github.com/open-mmlab/mmcv): OpenMMLab foundational library for computer vision.
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- [MIM](https://github.com/open-mmlab/mim): MIM Installs OpenMMLab Packages.
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- [MMClassification](https://github.com/open-mmlab/mmclassification): OpenMMLab image classification toolbox and benchmark.
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- [MMDetection](https://github.com/open-mmlab/mmdetection): OpenMMLab detection toolbox and benchmark.
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- [MMDetection3D](https://github.com/open-mmlab/mmdetection3d): OpenMMLab's next-generation platform for general 3D object detection.
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@ -72,6 +72,7 @@ MMClassification 是一款由不同学校和公司共同贡献的开源项目。
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## OpenMMLab 的其他项目
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- [MMCV](https://github.com/open-mmlab/mmcv): OpenMMLab 计算机视觉基础库
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- [MIM](https://github.com/open-mmlab/mim): MIM 是 OpenMMlab 项目、算法、模型的统一入口
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- [MMDetection](https://github.com/open-mmlab/mmdetection): OpenMMLab 检测工具箱与测试基准
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- [MMDetection3D](https://github.com/open-mmlab/mmdetection3d): OpenMMLab 新一代通用 3D 目标检测平台
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- [MMSegmentation](https://github.com/open-mmlab/mmsegmentation): OpenMMLab 语义分割工具箱与测试基准
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107
setup.py
107
setup.py
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@ -1,3 +1,8 @@
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import os
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import os.path as osp
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import shutil
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import sys
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import warnings
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from setuptools import find_packages, setup
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@ -90,29 +95,79 @@ def parse_requirements(fname='requirements.txt', with_version=True):
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return packages
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setup(
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name='mmcls',
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version=get_version(),
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description='OpenMMLab Image Classification Toolbox and Benchmark',
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long_description=readme(),
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long_description_content_type='text/markdown',
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author='OpenMMLab',
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author_email='openmmlab@gmail.com',
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keywords='computer vision, image classification',
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url='https://github.com/open-mmlab/mmclassification',
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packages=find_packages(exclude=('configs', 'tools', 'demo')),
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include_package_data=True,
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classifiers=[
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'Development Status :: 4 - Beta',
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'License :: OSI Approved :: Apache Software License',
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'Operating System :: OS Independent',
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'Programming Language :: Python :: 3',
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'Programming Language :: Python :: 3.5',
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'Programming Language :: Python :: 3.6',
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'Programming Language :: Python :: 3.7',
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'Programming Language :: Python :: 3.8',
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],
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license='Apache License 2.0',
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tests_require=parse_requirements('requirements/tests.txt'),
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install_requires=parse_requirements('requirements/runtime.txt'),
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zip_safe=False)
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def add_mim_extention():
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"""Add extra files that are required to support MIM into the package.
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These files will be added by creating a symlink to the originals if the
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package is installed in `editable` mode (e.g. pip install -e .), or by
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copying from the originals otherwise.
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"""
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# parse installment mode
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if 'develop' in sys.argv:
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# installed by `pip install -e .`
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mode = 'symlink'
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elif 'sdist' in sys.argv or 'bdist_wheel' in sys.argv:
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# installed by `pip install .`
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# or create source distribution by `python setup.py sdist`
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mode = 'copy'
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else:
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return
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filenames = ['tools', 'configs', 'model-index.yml']
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repo_path = osp.dirname(__file__)
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mim_path = osp.join(repo_path, 'mmcls', '.mim')
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os.makedirs(mim_path, exist_ok=True)
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for filename in filenames:
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if osp.exists(filename):
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src_path = osp.join(repo_path, filename)
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tar_path = osp.join(mim_path, filename)
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if osp.isfile(tar_path) or osp.islink(tar_path):
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os.remove(tar_path)
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elif osp.isdir(tar_path):
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shutil.rmtree(tar_path)
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if mode == 'symlink':
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src_relpath = osp.relpath(src_path, osp.dirname(tar_path))
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os.symlink(src_relpath, tar_path)
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elif mode == 'copy':
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if osp.isfile(src_path):
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shutil.copyfile(src_path, tar_path)
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elif osp.isdir(src_path):
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shutil.copytree(src_path, tar_path)
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else:
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warnings.warn(f'Cannot copy file {src_path}.')
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else:
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raise ValueError(f'Invalid mode {mode}')
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if __name__ == '__main__':
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add_mim_extention()
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setup(
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name='mmcls',
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version=get_version(),
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description='OpenMMLab Image Classification Toolbox and Benchmark',
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long_description=readme(),
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long_description_content_type='text/markdown',
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author='OpenMMLab',
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author_email='openmmlab@gmail.com',
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keywords='computer vision, image classification',
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url='https://github.com/open-mmlab/mmclassification',
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packages=find_packages(exclude=('configs', 'tools', 'demo')),
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include_package_data=True,
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classifiers=[
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'Development Status :: 4 - Beta',
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'License :: OSI Approved :: Apache Software License',
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'Operating System :: OS Independent',
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'Programming Language :: Python :: 3',
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'Programming Language :: Python :: 3.5',
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'Programming Language :: Python :: 3.6',
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'Programming Language :: Python :: 3.7',
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'Programming Language :: Python :: 3.8',
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],
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license='Apache License 2.0',
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tests_require=parse_requirements('requirements/tests.txt'),
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install_requires=parse_requirements('requirements/runtime.txt'),
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zip_safe=False)
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