#!/usr/bin/env python # # ------------------------------------------------------------------------------ # Copyright (c) 2022-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved. # # This work is made available under the Nvidia Source Code License. # To view a copy of this license, visit # https://github.com/NVlabs/ODISE/blob/main/LICENSE # # Written by Jiarui Xu # ------------------------------------------------------------------------------ import glob import os import shutil from os import path from setuptools import find_packages, setup from typing import List import torch torch_ver = [int(x) for x in torch.__version__.split(".")[:2]] assert torch_ver >= [1, 8], "Requires PyTorch >= 1.8" def get_version(): init_py_path = path.join(path.abspath(path.dirname(__file__)), "odise", "__init__.py") init_py = open(init_py_path, "r").readlines() version_line = [l.strip() for l in init_py if l.startswith("__version__")][0] version = version_line.split("=")[-1].strip().strip("'\"") return version def get_model_zoo_configs() -> List[str]: """ Return a list of configs to include in package for model zoo. Copy over these configs inside odise/model_zoo. """ # Use absolute paths while symlinking. source_configs_dir = path.join(path.dirname(path.realpath(__file__)), "configs") destination = path.join(path.dirname(path.realpath(__file__)), "odise", "model_zoo", "configs") # Symlink the config directory inside package to have a cleaner pip install. # Remove stale symlink/directory from a previous build. if path.exists(source_configs_dir): if path.islink(destination): os.unlink(destination) elif path.isdir(destination): shutil.rmtree(destination) if not path.exists(destination): try: os.symlink(source_configs_dir, destination) except OSError: # Fall back to copying if symlink fails: ex. on Windows. shutil.copytree(source_configs_dir, destination) config_paths = glob.glob("configs/**/*.yaml", recursive=True) + glob.glob( "configs/**/*.py", recursive=True ) return config_paths setup( name="odise", version=get_version(), author="Jiarui Xu", url="https://github.com/NVlabs/ODISE", description="Open-vocabulary DIffusion-based Panoptic Segmentation", packages=find_packages(exclude=("configs", "tests*")), package_data={"odise.model_zoo": get_model_zoo_configs()}, python_requires=">=3.8", install_requires=[ # "transformers==4.20.1", # freeze transformers version for stabliity # there is BC breaking in omegaconf 2.2.1 # see: https://github.com/omry/omegaconf/issues/939 ], extras_require={ # dev dependencies. Install them by `pip install 'odise[dev]'` "dev": [ ], }, include_package_data=True, )