add setup

README.md

@@ -162,10 +162,19 @@ You can also [join our team](https://matterport.com/careers/) and help us build
 ## Requirements
 * Python 3.4+
 
+All required packages are listed in standard file:
 ```bash
 pip3 install -r requirements.txt
 ```
 
+## Installation
+
+The installation as possible using following command:
+```bash
+python3 setup.py build_ext --inplace
+python3 setup.py install
+``` 
+
 ### MS COCO Requirements:
 To train or test on MS COCO, you'll also need:
 * pycocotools (installation instructions below)

setup.py

@@ -0,0 +1,83 @@
+"""
+The build/compilations setup
+
+>> pip install -r requirements.txt
+>> python setup.py build_ext --inplace
+>> python setup.py install
+
+For uploading to PyPi follow instructions
+http://peterdowns.com/posts/first-time-with-pypi.html
+
+Pre-release package
+>> python setup.py sdist upload -r pypitest
+>> pip install --index-url https://test.pypi.org/simple/ your-package
+Release package
+>> python setup.py sdist upload -r pypi
+>> pip install your-package
+"""
+import pip
+import logging
+import pkg_resources
+try:
+    from setuptools import setup, Extension # , Command, find_packages
+    from setuptools.command.build_ext import build_ext
+except ImportError:
+    from distutils.core import setup, Extension # , Command, find_packages
+    from distutils.command.build_ext import build_ext
+
+
+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='mrcnn',
+    version='2.1',
+    url='https://github.com/matterport/Mask_RCNN',
+
+    author='Matterport',
+    author_email='',  # todo
+    license='MIT',
+    description='Mask R-CNN: object detection & classification & segmentation',
+
+    packages=["mrcnn"],
+    cmdclass={'build_ext': build_ext},
+    install_requires=install_reqs,
+    include_package_data=True,
+
+    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 :: Image object detection",
+        "Topic :: Scientific/Engineering :: Image Recognition",
+        "Topic :: Scientific/Engineering :: Image Segmentation",
+        'Programming Language :: Python :: 3.4',
+        'Programming Language :: Python :: 3.5',
+        'Programming Language :: Python :: 3.6',
+    ],
+)