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        "author": "Pierre Nagorny",
        "author_email": "pierre.nagorny@univ-smb.fr",
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        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "Intended Audience :: Education",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Multimedia :: Video",
            "Topic :: Multimedia :: Video :: Capture",
            "Topic :: Software Development :: Libraries",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "[![PyPI version](https://img.shields.io/pypi/v/camera-fusion.svg)](https://pypi.python.org/pypi/camera-fusion/)\n[![PyPI pyversions](https://img.shields.io/pypi/pyversions/camera-fusion.svg)](https://pypi.python.org/pypi/camera-fusion/)\n[![PyPI status](https://img.shields.io/pypi/status/camera-fusion.svg)](https://pypi.python.org/pypi/camera-fusion/)\n[<img src=\"https://cdn.rawgit.com/a1rb4Ck/camera-fusion/master/tests/reports/coverage.svg\" with=\"100%\" height=\"20\">](https://htmlpreview.github.io/?https://raw.githubusercontent.com/a1rb4Ck/camera-fusion/master/tests/reports/coverage-html/index.html)\n[![PyPI license](https://img.shields.io/pypi/l/camera-fusion.svg)](https://pypi.python.org/pypi/camera-fusion/)  \n\ncamera-fusion\n==========\n\nMultiple cameras correction calibration and fusion with OpenCV Python.\nThis package use ChAruco board to achieve accurate multi-cameras fusion.\n\nInstallation\n----------\n\n```bash\npip install camera-fusion\n```\nDepending of your environment, you could have to compile OpenCV from source with Python bindings.\n\n\nQuickstart\n----------\n\n### Calibration\nPrint a [ChAruco board](https://www.uco.es/investiga/grupos/ava/node/26), for example the one in the *./resources* folder.\n\nMeasure the length of the Aruco marker and the length of the black chess square. Then start the calibration scripts.\n\n### Usage examples\n\nGenerate the lens correction calibration file for a specific camera.\n\n```bash\npython3 ./bin/camera_calibration\n```\n\nGenerate homographies between multiple cameras to fuse/blend on a specific plane. If no lens correction calibration exist for the cameras, they will be generate.\n\n```bash\npython3 ./bin/camera_fusion\n```\n\nSimple blending methods are implemented:\n- Blue channel to RGB blending\n- Gray scale to RGB blending\n- Weighted blending\n- Difference\n\nUse cases\n----------\n\nThis project was made to create a super low-cost degree of linear polarization imager. With three cheap repurposed webcams, we achieve decent results and frame-rate.\n\nDevelopment\n----------\n\nTest:\n\n```bash\ntox\n```\n\nBuild:\n\n```bash\nmake all\n```\n\n\n",
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