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| """ | |
| The build/compilations setup | |
| >> pip install -r requirements.txt | |
| >> python setup.py install | |
| """ | |
| import logging | |
| import pip | |
| import pkg_resources | |
| try: | |
| from setuptools import setup | |
| except ImportError: | |
| from distutils.core import setup | |
| def _parse_requirements(file_path): | |
| pip_ver = pkg_resources.get_distribution("pip").version | |
| pip_version = list(map(int, pip_ver.split(".")[:2])) | |
| if pip_version >= [6, 0]: | |
| raw = pip.req.parse_requirements(file_path, session=pip.download.PipSession()) | |
| else: | |
| raw = pip.req.parse_requirements(file_path) | |
| return [str(i.req) for i in raw] | |
| # parse_requirements() returns generator of pip.req.InstallRequirement objects | |
| try: | |
| install_reqs = _parse_requirements("requirements.txt") | |
| except Exception: | |
| logging.warning("Fail load requirements file, so using default ones.") | |
| install_reqs = [] | |
| setup( | |
| name="mask-rcnn", | |
| version="2.1", | |
| url="https://github.com/matterport/Mask_RCNN", | |
| author="Matterport", | |
| author_email="[email protected]", | |
| license="MIT", | |
| description="Mask R-CNN for object detection and instance segmentation", | |
| packages=["mrcnn"], | |
| install_requires=install_reqs, | |
| include_package_data=True, | |
| python_requires=">=3.4", | |
| long_description="""This is an implementation of Mask R-CNN on Python 3, Keras, and TensorFlow. | |
| The model generates bounding boxes and segmentation masks for each instance of an object in the image. | |
| It's based on Feature Pyramid Network (FPN) and a ResNet101 backbone.""", | |
| classifiers=[ | |
| "Development Status :: 5 - Production/Stable", | |
| "Environment :: Console", | |
| "Intended Audience :: Developers", | |
| "Intended Audience :: Information Technology", | |
| "Intended Audience :: Education", | |
| "Intended Audience :: Science/Research", | |
| "License :: OSI Approved :: MIT License", | |
| "Natural Language :: English", | |
| "Operating System :: OS Independent", | |
| "Topic :: Scientific/Engineering :: Artificial Intelligence", | |
| "Topic :: Scientific/Engineering :: Image Recognition", | |
| "Topic :: Scientific/Engineering :: Visualization", | |
| "Topic :: Scientific/Engineering :: Image Segmentation", | |
| "Programming Language :: Python :: 3.4", | |
| "Programming Language :: Python :: 3.5", | |
| "Programming Language :: Python :: 3.6", | |
| ], | |
| keywords="image instance segmentation object detection mask rcnn r-cnn tensorflow keras", | |
| ) | |