head 1.1; access; symbols pkgsrc-2026Q1:1.1.0.70 pkgsrc-2026Q1-base:1.1 pkgsrc-2025Q4:1.1.0.68 pkgsrc-2025Q4-base:1.1 pkgsrc-2025Q3:1.1.0.66 pkgsrc-2025Q3-base:1.1 pkgsrc-2025Q2:1.1.0.64 pkgsrc-2025Q2-base:1.1 pkgsrc-2025Q1:1.1.0.62 pkgsrc-2025Q1-base:1.1 pkgsrc-2024Q4:1.1.0.60 pkgsrc-2024Q4-base:1.1 pkgsrc-2024Q3:1.1.0.58 pkgsrc-2024Q3-base:1.1 pkgsrc-2024Q2:1.1.0.56 pkgsrc-2024Q2-base:1.1 pkgsrc-2024Q1:1.1.0.54 pkgsrc-2024Q1-base:1.1 pkgsrc-2023Q4:1.1.0.52 pkgsrc-2023Q4-base:1.1 pkgsrc-2023Q3:1.1.0.50 pkgsrc-2023Q3-base:1.1 pkgsrc-2023Q2:1.1.0.48 pkgsrc-2023Q2-base:1.1 pkgsrc-2023Q1:1.1.0.46 pkgsrc-2023Q1-base:1.1 pkgsrc-2022Q4:1.1.0.44 pkgsrc-2022Q4-base:1.1 pkgsrc-2022Q3:1.1.0.42 pkgsrc-2022Q3-base:1.1 pkgsrc-2022Q2:1.1.0.40 pkgsrc-2022Q2-base:1.1 pkgsrc-2022Q1:1.1.0.38 pkgsrc-2022Q1-base:1.1 pkgsrc-2021Q4:1.1.0.36 pkgsrc-2021Q4-base:1.1 pkgsrc-2021Q3:1.1.0.34 pkgsrc-2021Q3-base:1.1 pkgsrc-2021Q2:1.1.0.32 pkgsrc-2021Q2-base:1.1 pkgsrc-2021Q1:1.1.0.30 pkgsrc-2021Q1-base:1.1 pkgsrc-2020Q4:1.1.0.28 pkgsrc-2020Q4-base:1.1 pkgsrc-2020Q3:1.1.0.26 pkgsrc-2020Q3-base:1.1 pkgsrc-2020Q2:1.1.0.22 pkgsrc-2020Q2-base:1.1 pkgsrc-2020Q1:1.1.0.2 pkgsrc-2020Q1-base:1.1 pkgsrc-2019Q4:1.1.0.24 pkgsrc-2019Q4-base:1.1 pkgsrc-2019Q3:1.1.0.20 pkgsrc-2019Q3-base:1.1 pkgsrc-2019Q2:1.1.0.18 pkgsrc-2019Q2-base:1.1 pkgsrc-2019Q1:1.1.0.16 pkgsrc-2019Q1-base:1.1 pkgsrc-2018Q4:1.1.0.14 pkgsrc-2018Q4-base:1.1 pkgsrc-2018Q3:1.1.0.12 pkgsrc-2018Q3-base:1.1 pkgsrc-2018Q2:1.1.0.10 pkgsrc-2018Q2-base:1.1 pkgsrc-2018Q1:1.1.0.8 pkgsrc-2018Q1-base:1.1 pkgsrc-2017Q4:1.1.0.6 pkgsrc-2017Q4-base:1.1 pkgsrc-2017Q3:1.1.0.4 pkgsrc-2017Q3-base:1.1; locks; strict; comment @# @; 1.1 date 2017.09.04.15.23.49; author fhajny; state Exp; branches; next ; commitid UcVmQyjHJObcoT5A; desc @@ 1.1 log @Update graphics/opencv to 3.3.0. 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 @ text @$NetBSD$ Do not download at build time. --- 3rdparty/ippicv/ippicv.cmake.orig 2017-08-03 23:58:23.000000000 +0000 +++ 3rdparty/ippicv/ippicv.cmake @@@@ -1,4 +1,5 @@@@ function(download_ippicv root_var) + return() set(${root_var} "" PARENT_SCOPE) # Commit SHA in the opencv_3rdparty repo @