setup.py

import os
import platform
import subprocess
import time

import numpy as np
from setuptools import find_packages, setup

MAJOR = 0
MINOR = 1
PATCH = 0
SUFFIX = ""
SHORT_VERSION = "{}.{}.{}{}".format(MAJOR, MINOR, PATCH, SUFFIX)

version_file = "version.py"


def readme():
    with open("README.md") as f:
        content = f.read()
    return content


def get_git_hash():
    def _minimal_ext_cmd(cmd):
        # construct minimal environment
        env = {}
        for k in ["SYSTEMROOT", "PATH", "HOME"]:
            v = os.environ.get(k)
            if v is not None:
                env[k] = v
        # LANGUAGE is used on win32
        env["LANGUAGE"] = "C"
        env["LANG"] = "C"
        env["LC_ALL"] = "C"
        out = subprocess.Popen(cmd, stdout=subprocess.PIPE, env=env).communicate()[0]
        return out

    try:
        out = _minimal_ext_cmd(["git", "rev-parse", "HEAD"])
        sha = out.strip().decode("ascii")
    except OSError:
        sha = "unknown"

    return sha


def get_hash():
    if os.path.exists(".git"):
        sha = get_git_hash()[:7]
    elif os.path.exists(version_file):
        try:
            from alphapose.version import __version__

            sha = __version__.split("+")[-1]
        except ImportError:
            raise ImportError("Unable to get git version")
    else:
        sha = "unknown"

    return sha


def write_version_py():
    content = """# GENERATED VERSION FILE
# TIME: {}
__version__ = '{}'
short_version = '{}'
"""
    sha = get_hash()
    VERSION = SHORT_VERSION + "+" + sha

    with open(version_file, "w") as f:
        f.write(content.format(time.asctime(), VERSION, SHORT_VERSION))


def get_version():
    with open(version_file, "r") as f:
        exec(compile(f.read(), version_file, "exec"))
    return locals()["__version__"]


if __name__ == "__main__":
    setup(
        name="alphatracker",
        description="Code for AlphaTracker",
        long_description=readme(),
        keywords="multi-animal tracking, pose estimation, unsupervised behavioral clustering",
        url="https://github.com/MVIG-SJTU/AlphaTracker",
        packages=find_packages(
            exclude=(
                "data",
                "exp",
            )
        ),
        package_data={"": ["*.json", "*.txt"]},
        classifiers=[
            "Development Status :: 4 - Beta",
            "License :: OSI Approved :: Apache Software License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Programming Language :: Python :: 3.8",
            "Programming Language :: Python :: 3.9",
            "Programming Language :: Python :: 3.10",
        ],
        license="GPLv3",
        python_requires=">=3",
        setup_requires=["pytest-runner", "numpy"],
        tests_require=["pytest"],
        install_requires=[
            'numpy', 'scipy', 'opencv-python', 'matplotlib',
            'tqdm', 'gdown', 'h5py', 'pandas==1.4.2',
            'nibabel', 'tensorboardx', 'munkres',
            'visdom', 'scikit-learn', 'seaborn', 'umap', 'requests'
        ],
        zip_safe=False)
    if platform.system() != 'Windows':
        cmd = 'python -m pip install pycocotools'
        os.system(cmd)
    print('\n Install `torchsample` ...')
    cmd = 'python -m pip install ./torchsample'
    os.system(cmd)