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#!/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,
)