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        "author": "Dzhoshkun Ismail Shakir",
        "author_email": "d.shakir@ucl.ac.uk",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "Intended Audience :: End Users/Desktop",
            "Intended Audience :: Healthcare Industry",
            "Intended Audience :: Information Technology",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: BSD License",
            "Operating System :: POSIX :: Linux",
            "Programming Language :: C++",
            "Programming Language :: Python",
            "Topic :: Multimedia :: Video",
            "Topic :: Multimedia :: Video :: Capture",
            "Topic :: Multimedia :: Video :: Conversion",
            "Topic :: Scientific/Engineering",
            "Topic :: Software Development :: Libraries :: Python Modules",
            "Topic :: Utilities"
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        "description": "IMPORTANT INSTALLATION NOTE\n===========================\n\n``pip install gift-grab`` currently works only with ``--install-option``'s.\nPlease see `this guideline on the GIFT-Grab repository`_.\n\n.. _`this guideline on the GIFT-Grab repository`: https://github.com/gift-surg/GIFT-Grab/blob/master/doc/pypi.md\n\n\nGIFT-Grab\n=========\n\nGIFT-Grab is an open-source C++ and Python API for acquiring, processing and encoding video streams in real time.\n\nGIFT-Grab supports several frame-grabber cards, standard-compliant network streams and video files.\n\nThe Python API is compatible with `NumPy`_ and `SciPy`_.\nPlease note that currently **only Python 2** is supported.\n\n.. _`SciPy`: https://www.scipy.org/\n.. _`NumPy`: http://www.numpy.org/\n\n\nFeatures\n--------\n\n* Capturing video streams using frame-grabber hardware, the following cards are supported:\n   - `Epiphan DVI2PCIe Duo`_\n   - `Blackmagic DeckLink SDI 4K`_\n* Capturing standard-compliant network video streams\n* Reading (decoding) video files\n* Writing (encoding) video files (including real-time encoding), the following formats are supported:\n   - `Xvid`_-encoded `AVI`_\n   - `HEVC (H.265)`_-encoded `MP4`_\n   - `VP9`_-encoded `WebM`_\n* Video data as NumPy arrays to facilitate processing with NumPy-compatible Python libraries\n\n.. _`Epiphan DVI2PCIe Duo`: http://www.epiphan.com/products/dvi2pcie-duo/\n.. _`Blackmagic DeckLink SDI 4K`: https://www.blackmagicdesign.com/products/decklink/models\n.. _`Xvid`: https://www.xvid.com/\n.. _`AVI`: https://msdn.microsoft.com/en-us/library/windows/desktop/dd318189(v=vs.85).aspx\n.. _`HEVC (H.265)`: http://www.itu.int/ITU-T/recommendations/rec.aspx?rec=11885\n.. _`MP4`: http://www.iso.org/iso/catalogue_detail.htm?csnumber=38538\n.. _`VP9`: http://www.webmproject.org/vp9/\n.. _`WebM`: https://www.webmproject.org/users/\n\n\nGetting started\n---------------\n\n* Installation\n   - `Required tools and libraries`_\n   - `Building GIFT-Grab from source`_ (C++ and Python)\n   - |InstallUsingPip| (only Python)\n* `Python examples with explanation`_\n* `Building a minimal GIFT-Grab with NumPy compatibility`_\n* API documentation\n   - `C++ API documentation`_\n   - Python API documentation: please use the C++ API documentation\n      * Most Python API elements are equivalent to their C++ counterparts.\n      * Differences are noted in the C++ docstrings (e.g. |VideoFrame.data|).\n* `Known issues and limitations`_\n\n.. _`Required tools and libraries`: https://github.com/gift-surg/GIFT-Grab/blob/master/doc/requirements.md\n.. _`Building GIFT-Grab from source`: https://github.com/gift-surg/GIFT-Grab/blob/master/doc/build.md\n.. |VideoFrame.data| replace:: ``data()`` method of ``VideoFrame``\n.. _VideoFrame.data: https://codedocs.xyz/gift-surg/GIFT-Grab/classgg_1_1_video_frame.html#a458e15b00b5b2d39855db76215c44055\n.. |InstallUsingPip| replace:: Installing GIFT-Grab using ``pip``\n.. _InstallUsingPip: https://github.com/gift-surg/GIFT-Grab/blob/master/doc/pypi.md\n.. _`Python examples with explanation`: http://gift-grab.rtfd.io\n.. _`C++ API documentation`: https://codedocs.xyz/gift-surg/GIFT-Grab/\n.. _`Building a minimal GIFT-Grab with NumPy compatibility`: https://github.com/gift-surg/GIFT-Grab/blob/master/doc/minimal.md\n.. _`Known issues and limitations`: https://github.com/gift-surg/GIFT-Grab/blob/master/doc/issues.md\n\n\nCiting GIFT-Grab\n----------------\n\nIf you use GIFT-Grab in your work, please cite `Shakir et al. (2017)`_:\n\n  Shakir DI, Garc\u00eda-Peraza-Herrera LC, Daga P, Doel T, Clarkson MJ, Ourselin S, and Vercauteren T.\n  `GIFT-Grab: Real-time C++ and Python multi-channel video capture, processing and encoding API.`_\n  Journal of Open Research Software. 2017;5(1):27. DOI: `http://doi.org/10.5334/jors.169`_\n\nBibTeX entry:\n\n.. code-block:: bibtex\n\n  @article{giftgrab17,\n    author = {Dzhoshkun Ismail Shakir and Luis Carlos Garc\\'{i}a-Peraza-Herrera and Pankaj Daga and Tom Doel and Matthew J. Clarkson and S\\'{e}bastien Ourselin and Tom Vercauteren},\n    title = {{GIFT-Grab: Real-time C++ and Python multi-channel video capture, processing and encoding API}},\n    journal = {{Journal of Open Research Software}},\n    year = {2017},\n    number = {1},\n    pages = {27},\n    month = {10},\n    day = {9},\n    volume = {5},\n    url = {http://doi.org/10.5334/jors.169},\n    doi = {http://doi.org/10.5334/jors.169},\n  }\n\n.. _`Shakir et al. (2017)`: http://doi.org/10.5334/jors.169\n.. _`GIFT-Grab: Real-time C++ and Python multi-channel video capture, processing and encoding API.`: http://doi.org/10.5334/jors.169\n.. _`http://doi.org/10.5334/jors.169`: http://doi.org/10.5334/jors.169\n\n\nSupport and contributing\n------------------------\n\nPlease see the `contribution guide`_ for bug reports, feature requests, and if you would like to contribute to GIFT-Grab.\n\n.. _`contribution guide`: https://github.com/gift-surg/GIFT-Grab/blob/master/CONTRIBUTING.md\n\n\nLicensing and copyright\n-----------------------\n\nCopyright (c) 2015-7, `University College London`_\n\nGIFT-Grab is available as free open-source software under the BSD-3-Clause licence.\nPlease see the `LICENSE`_ file for details.\n\nOther licences may apply for the GIFT-Grab dependencies.\nPlease see the `dependency installation guidelines`_ for the implications of using them with regards to licensing.\n\n.. _`University College London`: http://www.ucl.ac.uk\n.. _`LICENSE`: https://github.com/gift-surg/GIFT-Grab/blob/master/LICENSE\n.. _`dependency installation guidelines`: https://github.com/gift-surg/GIFT-Grab/blob/master/doc/tips.md\n\n\nAcknowledgements\n----------------\n\nGIFT-Grab was developed as part of the `GIFT-Surg`_ project at the `Translational Imaging Group`_ in the `Centre for Medical Image Computing`_ at `University College London`_ (UCL).\n\nThis work was supported through an Innovative Engineering for Health award by the `Wellcome Trust`_ [WT101957], the `Engineering and Physical Sciences Research Council`_ [NS/A000027/1] and a `National Institute for Health Research`_ Biomedical Research Centre `UCLH`_ / UCL High Impact Initiative.\n\n.. _`Wellcome Trust`: http://www.wellcome.ac.uk\n.. _`Translational Imaging Group`: http://cmictig.cs.ucl.ac.uk\n.. _`GIFT-Surg`: http://www.gift-surg.ac.uk\n.. _`Centre for Medical Image Computing`: http://cmic.cs.ucl.ac.uk\n.. _`National Institute for Health Research`: http://www.nihr.ac.uk/\n.. _`UCLH`: http://www.uclh.nhs.uk\n.. _`Engineering and Physical Sciences Research Council`: http://www.epsrc.ac.uk",
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