OpenCV 3.4.15 has been released. Bug fixes, optimizations and other enhancements are propagated into OpenCV 4.5.3.
Long-lived OpenCV 3.x release series is here since 2015. We are going to reduce support of 3.x branch in the future to move forward to OpenCV 5.0.
version:3.4.8
OpenCV 3.4.8 has been released. Bug fixes, optimizations and other enhancements are propagated into OpenCV 4.1.2.
version:3.4.7
OpenCV 3.4.7 has been released. Bug fixes, optimizations and other enhancements are propagated into OpenCV 4.1.1.
version:3.4.6
OpenCV 3.4.6 has been released. Bug fixes, optimizations and other enhancements are propagated into OpenCV 4.1.0.
version:3.4.5
OpenCV 3.4.5 has been released. Bug fixes, optimizations and other enhancements are propagated into OpenCV 4.0.1.
version:3.4.4
OpenCV 3.4.4 has been released. This is a mantenance release. New features are landed in OpenCV 4.0.
version:3.4.3
OpenCV 3.4.3 has been released, with further extended dnn module, documentation improvements, some other new functionality and bug fixes.
version:3.4.2
OpenCV 3.4.2 has been released, with further extended dnn module, documentation improvements, some other new functionality and bug fixes.
OpenCV 3.4.x development is switched from "master" to "3.4" branch. "master" branch is used for development of upcoming OpenCV 4.x releases.
Bugfixes / optimizations / small improvemets should go into "3.4" branch. We will merge changes from "3.4" into "master" regularly (weekly/bi-weekly).
Sync opencv-contrib-face too.
Main changes:
- DNN module from opencv_contrib was promoted to the main repository,
improved and accelerated it a lot. An external BLAS implementation is
not needed anymore. For GPU there is experimental DNN acceleration using
Halide (http://halide-lang.org).
- OpenCV can now be built as C++ 11 library using the flag ENABLE_CXX11.
Some cool features for C++ 11 programmers have been added.
- We've also enabled quite a few AVX/AVX2 and SSE4.x optimizations in
the default build of OpenCV thanks to the feature called 'dynamic
dispatching'. The DNN module also has some AVX/AVX2 optimizations.
- Intel Media SDK can now be utilized by our videoio module to do
hardware-accelerated video encoding/decoding. MPEG1/2, as well as
H.264 are supported.
- Embedded into OpenCV Intel IPP subset has been upgraded from 2015.12
to 2017.2 version, resulting in ~15% speed improvement in our core &
imgproc perf tests.
Full release notes:
https://github.com/opencv/opencv/wiki/ChangeLog
