{
    "info": {
        "author": "Filip Kokosinski",
        "author_email": "filip.kokosinski@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "Intended Audience :: Healthcare Industry",
            "License :: OSI Approved :: MIT License",
            "Operating System :: POSIX :: Linux",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Programming Language :: Python :: Implementation :: CPython"
        ],
        "description": "# tomograph - paramterized computer tomography simulator\n\n[![Build Status](https://travis-ci.com/fkokosinski/tomograph.svg?token=KqDQHrZxZ4q79UZ1qZJw&branch=master)](https://travis-ci.com/fkokosinski/tomograph) [![codecov](https://codecov.io/gh/fkokosinski/tomograph/branch/master/graph/badge.svg?token=SogoLYXs8u)](https://codecov.io/gh/fkokosinski/tomograph)\n\n`tomograph` is a parametrized computer tomography simulator, which can be run as\na standalone script or included as a module in your Python programs. It\nimplements both Radon and reverse Radon transforms. It currently models two\ntypes of beam projections: cone and parallel.\n\n## Dependencies\nCurrently `tomograph` requires:\n- Click (`click`)\n- tqdm (`tqdm`)\n- NumPy (`numpy`)\n- Image Processing SciKit (`scikit-image`)\n\nTheir respective required versions can be seen in `requirements.txt` file.\n\n## Installation\nSimply run:\n\n    pip install tomograph\n\nTomograph supports Python 3.5, Python 3.6 and Python 3.7.\n\n## Usage\n`tomograph` can be used directly through command-line interface or as a Python\nmodule:\n\n### Commandline\nUsing command-line interface:\n\n    tomograph --model cone --detectors 256 --angle 150 --rotations 512 image.jpg\n\nAll command-line arguments can be seen by running:\n\n    tomograph --help\n\n### Module\nExample script that does Radon transform using cone beam model:\n\n    from skimage.io import imsave\n    from tomograph.model import ConeTomograph\n\n    # variables\n    path = 'image.jpg'\n    detectors = 256\n    angle = 180\n    rotations = 512\n\n    # one scan per rotation\n    step = 360 / rotations\n\n    # perform Radon transform\n    tomograph = ConeTomograph(path, detectors, angle)\n    sinogram = []\n    for i in range(rotations):\n        tomograph.rotate(step)  # rotate tomograph\n        scan = tomograph.scan() # do the scan\n        sinogram.append(scan)\n\n    imsave('radon.bmp', np.array(sinogram).T)\n\n## Live demonstration\n| Beam lines                  | Radon transform                   | reverse Radon transform                     |\n|-----------------------------|-----------------------------------|---------------------------------------------|\n| ![beam lines](res/scan.gif) | ![radon transform](res/radon.gif) | ![reverse radon transform](res/reverse.gif) |",
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