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        "author": "Joppe Blondel",
        "author_email": "joppe@blondel.nl",
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            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
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        "description": "# OMR\n![](https://github.com/Jojojoppe/OMR/workflows/Build/badge.svg)\n\nThis package can create a form which can be read in with OMR and can read those forms.\n\n## Usage\n### Creating an OMR form\nTo create an OMR enabled form you must make a form (with Word, LaTeX or similar software) and mark the first bullet points with a **red** background and the last with a **green** background. At last the corners should be marked: the bottom right corner must be marked with a black square and the three other corners with a QR code like corner. At this moment the user must do this themselfes (this may change in the future). The imput to OMR must be an image file.\n![An empty OMR form](/img/empty_form_r.png)\n\nRunning the following will generate a printable output sheet with barcodes at the bottom which OMR uses to detect the settings\n```\nqandaomr -c input_file output_file columns rows points_per_question questions_per_block\n```\n![Created omr form](/img/form_r.png)\n\n### Reading an OMR form\nTo get the answers back from the form a scanned image can be the input to OMR. OMR will print the answers to the terminal in a CSV format.\n```\nqandaomr -r input_file\n```\n\n### Generating intermediate files\nFor debug purposes the `-d` flag can be used. This will generate multiple images which are used in the steps within OMR. This can be useful if OMR does not react the way it should\n\n## Installation\nTo install this package clone this repository and install via pip:\n```\npip install qandaomr\n```\n\nUninstalling can be done via pip:\n```\npip uninstall qandaomr\n```",
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        "keywords": "OMR,Optical Mark Recognition",
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