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Date: Sun, 21 Feb 2016 14:10:46 +0000
From: "Filip Hajny" <fhajny@netbsd.org>
Subject: CVS commit: pkgsrc/graphics/opencv
To: pkgsrc-changes@NetBSD.org
Reply-To: fhajny@netbsd.org
Message-Id: <20160221141046.BD4F5FBB7@cvs.NetBSD.org>
Sender: pkgsrc-changes-owner@NetBSD.org
Precedence: bulk

Module Name:	pkgsrc
Committed By:	fhajny
Date:		Sun Feb 21 14:10:46 UTC 2016

Modified Files:
	pkgsrc/graphics/opencv: Makefile PLIST distinfo
	pkgsrc/graphics/opencv/patches: patch-3rdparty_ippicv_downloader.cmake
	    patch-cmake_OpenCVModule.cmake
	    patch-modules_core_src_parallel__pthreads.cpp
	    patch-modules_objdetect_include_opencv_objdetect_detection__based__tracker.hpp
Removed Files:
	pkgsrc/graphics/opencv/patches: patch-modules_python_common.cmake

Log Message:
Update graphics/opencv to 3.1.0.

* A lot of new functionality has been introduced during GSoC 2015:
  - "Omnidirectional Cameras Calibration and Stereo 3D Reconstruction"
    opencv_contrib/ccalib module
  - "Structure From Motion" - opencv_contrib/sfm module
  - "Improved Deformable Part-based Models" - opencv_contrib/dpm module
  - "Real-time Multi-object Tracking using Kernelized Correlation Filter"
    - opencv_contrib/tracking module
  - "Improved and expanded Scene Text Detection" - opencv_contrib/text
    module
  - "Stereo correspondence improvements" - opencv_contrib/stereo module
  - "Structured-Light System Calibration" - opencv_contrib/structured_light
  - "Chessboard+ArUco for camera calibration" - opencv_contrib/aruco
  - "Implementation of universal interface for deep neural network
    frameworks" - opencv_contrib/dnn module
  - "Recent advances in edge-aware filtering, improved SGBM stereo
    algorithm" - opencv/calib3d and opencv_contrib/ximgproc
  - "Improved ICF detector, waldboost implementation"
    - opencv_contrib/xobjdetect
  - "Multi-target TLD tracking" - opencv_contrib/tracking module
  - "3D pose estimation using CNNs" - opencv_contrib/cnn_3dobj

* Many great contributions made by the community, such as:
  - Support for HDF5 format
  - New/Improved optical flow algorithms
  - Multiple new image processing algorithms for filtering, segmentation
    and feature detection
  - Superpixel segmentation

* IPPICV is now based on IPP 9.0.1, which should make OpenCV even faster
  on modern Intel chips
* opencv_contrib modules can now be included into the opencv2.framework
  for iOS
* Newest operating systems are supported: Windows 10 and OSX 10.11
  (Visual Studio 2015 and XCode 7.1.1)
* Interoperability between T-API and OpenCL, OpenGL, DirectX and Video
  Acceleration API on Linux, as well as Android 5 camera.
* HAL (Hardware Acceleration Layer) module functionality has been moved
  into corresponding basic modules; the HAL replacement mechanism has
  been implemented along with the examples

See full changelog:

  https://github.com/Itseez/opencv/wiki/ChangeLog


To generate a diff of this commit:
cvs rdiff -u -r1.59 -r1.60 pkgsrc/graphics/opencv/Makefile
cvs rdiff -u -r1.15 -r1.16 pkgsrc/graphics/opencv/PLIST
cvs rdiff -u -r1.33 -r1.34 pkgsrc/graphics/opencv/distinfo
cvs rdiff -u -r1.1 -r1.2 \
    pkgsrc/graphics/opencv/patches/patch-3rdparty_ippicv_downloader.cmake \
    pkgsrc/graphics/opencv/patches/patch-cmake_OpenCVModule.cmake \
    pkgsrc/graphics/opencv/patches/patch-modules_core_src_parallel__pthreads.cpp \
    pkgsrc/graphics/opencv/patches/patch-modules_objdetect_include_opencv_objdetect_detection__based__tracker.hpp
cvs rdiff -u -r1.2 -r0 \
    pkgsrc/graphics/opencv/patches/patch-modules_python_common.cmake

Please note that diffs are not public domain; they are subject to the
copyright notices on the relevant files.