{
    "info": {
        "author": "Piero Dotti, Paolo Guglielmini",
        "author_email": "pnproductions.dev@gmail.com",
        "bugtrack_url": null,
        "classifiers": [],
        "description": "py-tvd\n======\n\nThis is a Python implementation of `Total Variation Denoising`_ method proposed by Guy Gilboa.\n\n    Reduces the total-variation of the image.\n    Filters out noise while preserving edges. Textures and fine-scale details are also removed.\n\nRequirements\n------------\n\nTo run this code you need the following packages:\n\n-  `Numpy`_\n-  `Numexpr`_\n-  `OpenCV`_ (Optional)\n\n**Everything but OpenCV can be installed via ``pip install -r requirements``**\n\nInstallation\n------------\n\nTo install everything just type:\n\n.. code:: shell\n\n    pip install py-tvd\n\n\nFor manual installation:\n\n.. code:: shell\n\n    python setup.py install\n\nProbably you have to run it with ``sudo``.\n\nTesting\n-------\n\nTest are provided via `unittest`_.\n\nTo run them all:\n\n.. code:: shell\n\n    nosetests\n\nExamples\n--------\n\n.. code:: python\n\n    import cv2\n    from tvd import TotalVariationDenoising\n    import os\n\n    image = cv2.imread(os.path.dirname(__file__) + '/../assets/example.bmp')\n    image = cv2.cvtColor(image, cv2.COLOR_BGR2YCR_CB)\n    subject = TotalVariationDenoising(image[:, :, 0])\n    output = subject.generate()\n    cv2.imshow('Total Variation Denoising image', output / 255)\n    cv2.waitKey(0)\n    cv2.destroyAllWindows()\n\nThe conversion to *YCbCr* color space is optionally (sure?)\n\n\n.. _Total Variation Denoising: http://visl.technion.ac.il/~gilboa/PDE-filt/tv_denoising.html\n.. _Python 2.7: https://www.python.org/download/releases/2.7/\n.. _OpenCV: http://opencv.org/\n.. _Numpy: http://www.numpy.org/\n.. _numexpr: https://github.com/pydata/numexpr\n.. _unittest: https://docs.python.org/2/library/unittest.html\n",
        "description_content_type": null,
        "docs_url": null,
        "download_url": "UNKNOWN",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "https://github.com/PNProductions/py-tvd",
        "keywords": null,
        "license": "UNKNOWN",
        "maintainer": null,
        "maintainer_email": null,
        "name": "py-tvd",
        "package_url": "https://pypi.org/project/py-tvd/",
        "platform": "UNKNOWN",
        "project_url": "https://pypi.org/project/py-tvd/",
        "project_urls": {
            "Download": "UNKNOWN",
            "Homepage": "https://github.com/PNProductions/py-tvd"
        },
        "release_url": "https://pypi.org/project/py-tvd/1.0/",
        "requires_dist": null,
        "requires_python": null,
        "summary": "A total variation denoising implementation in python.",
        "version": "1.0"
    },
    "last_serial": 1292329,
    "releases": {
        "1.0": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "fb018897e93475cca9446380c12e47db",
                    "sha256": "0eae27ffdec93257705672b948933261907d1175693eaff00409ce72d21d942a"
                },
                "downloads": -1,
                "filename": "py-tvd-1.0.tar.gz",
                "has_sig": false,
                "md5_digest": "fb018897e93475cca9446380c12e47db",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 2863,
                "upload_time": "2014-11-03T03:48:58",
                "url": "https://files.pythonhosted.org/packages/fb/6a/e896051e0eb54d2d7007be725f4b859d1bd6546a7a17df7302839ea17ac7/py-tvd-1.0.tar.gz"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "fb018897e93475cca9446380c12e47db",
                "sha256": "0eae27ffdec93257705672b948933261907d1175693eaff00409ce72d21d942a"
            },
            "downloads": -1,
            "filename": "py-tvd-1.0.tar.gz",
            "has_sig": false,
            "md5_digest": "fb018897e93475cca9446380c12e47db",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 2863,
            "upload_time": "2014-11-03T03:48:58",
            "url": "https://files.pythonhosted.org/packages/fb/6a/e896051e0eb54d2d7007be725f4b859d1bd6546a7a17df7302839ea17ac7/py-tvd-1.0.tar.gz"
        }
    ]
}