Releases: gift-surg/GIFT-Grab
Releases · gift-surg/GIFT-Grab
August 2017 release
- 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 install
ing GIFT-Grab
May 2017 release
- 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
- 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