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Releases: gift-surg/GIFT-Grab

August 2017 release

09 Aug 08:12
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  • Partial support for using GIFT-Grab on Debian 9 (see the documentation for details)
  • Fixed an FFmpeg CMake discovery script issue that caused the GIFT-Grab installation to fail on Debian 9.
  • Major revision and restructuring of documentation:
    • Restructured the main README file to reduce content and to make it easier for the user to find relevant information.
    • Added instructions for building a minimal GIFT-Grab for testing NumPy compatibility.
    • Made the requirements and the dependency installation guidelines sections more visible and easier to find.
    • Emphasised the need for pip install options for installing GIFT-Grab from PyPI.
    • Revised the GIFT-Grab PyPI description to make the GIFT-Grab PyPI page a bit more appealing and more useful to the user.
    • Known issues and limitations are now kept in a separate MD file.
    • More internal cross-links to make it easier for the user to browse and navigate the documentation.
  • Removed the pip installer dependency on PyYAML and pytest. This was causing problems when pip installing GIFT-Grab

May 2017 release

17 May 11:46
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  • GIFT-Grab now works:
    • on Ubuntu 16.04 LTS (experimental)
    • with OpenCV 3.2.0

Please check the documentation for known issues and compatibility.

  • Fixed:

    • an issue that prevented non-integer frame rates from being used for encoded video files
    • an issue that caused confusion when no features were enabled in pip install
  • GIFT-Grab documentation improved:

    • Python examples with explanation added.
    • The C++ API documentation now includes detailed notes about the differences between the C++ and Python API.
    • More explicit instructions added for PyPI (pip) installs.

March 2017 release

16 Mar 09:44
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  • Added a GIFT-Grab Python API.
  • GIFT-Grab is now also available for installation from the Python Package Index via the pip installation tool.
  • Added support for:
    • Blackmagic DeckLink SDI 4K
    • I420 and UYVY colour spaces (see documentation)
    • capturing network streams
    • writing video files (Xvid, HEVC, VP9)
    • real-time video encoding
    • reading video files (HEVC and VP9)
    • video processing pipelines using callbacks
    • processing video data using NumPy and SciPy routines
  • Added a test suite