#9571: opencv-3.3.0
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 Reporter:  bdubbs@…     |       Owner:  bdubbs@…
     Type:  enhancement  |      Status:  assigned
 Priority:  normal       |   Milestone:  8.1
Component:  BOOK         |     Version:  SVN
 Severity:  normal       |  Resolution:
 Keywords:               |
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Comment (by bdubbs@…):

 OpenCV 3.3

 Aug 3, 2017

 Changes

     The main news is that we promoted DNN module from opencv_contrib 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). The detailed
 information about the module can be found in our wiki: Deep Learning in
 OpenCV.

     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.

     716 Pull Requests have been merged and 588 Issues in our bug tracker
 have been closed since OpenCV 3.2. Additionally, we've run OpenCV through
 some strict static analyser tools and fixed the detected problems. So,
 OpenCV 3.3 should hopefully be very stable and dependable release.

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