Opencv 3.1 Visual Studio 2015 support

Opencv 3.1 Visual studio 2015

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Opencv 3.1 just released with prebuild VC14 libs for Visual Studio 2015. Installation is easy and you can follow standard tutorials on www.opencv.org

Quick start with Visual Studio 2015 Opencv 3.1

This process is exatly same as in other version with prebuild libs. 

Install opencv 3.1 in visual studio

Shortened procedure summary

1. Download opencv 3.1 for windows
2. extract to folder like c:/opencv
3. Set enviroment varibales by setx -m

This depends on your path
setx -m OPENCV_DIR C:\opencv\build\x64\vc14

     4. In Path editor just set 

%OPENCV_DIR%\bin

This is important steps. If you include Opencv project without this Project in visual studio failed because the project can not find DLL library. 

 Set project in Visual Studio 2015

Just create your new opencv project in Visual Studio 2015 and follow this steps. 

1. Under Project setting C/C++/General set Additional Include Directories and Additional #using Directories. For example C:\opencv\build\include
2. Under Linker/general set Additional library directories you can use your system path set in installation process or simple include this path for 64 bit versin for example C:\opencv\build\x64\vc14\lib
3. Under Linker/Input set Additional Dependencies as opencv_world310.lib, opencv_world310d.lib

Opencv 3.1 prebuild libs 

This  opencv 3.1 comes with many version. This is a list of released parts here Github Source

OpenCV-3.1.0-android-sdk.zip

Prebuild framework for android development 

opencv-3.1.0.exe

 for Windows development and Visual Studio 2015 support. 

opencv2.framework.zip

for iOS and Mac development prebuild framework

Opencv source code

Also there is a source code released of 3.1 opencv which is mainly for Linux and Arm development with many improvements in NEON arm platform. 

Important from Opencv 3.1 change logs

Taken from ChangeLog

• The iOS framework (opencv2.framework) can now be configured to include both opencv and opencv_contrib functionality.
• more efficient camera support on Android 5+
• faster round() on ARM (it’s also applicable to iOS); big thanks to Manuele Tamburano and Stefano Fabri for this!
• OpenCV 3.1 supports fresh OSes from Microsoft and Apple, as well as the newest development tools (VS2015 and Xcode 7, respectively).
• IPPICV (a specially-for-opencv free-of-charge subset of IPP (https://software.intel.com/en-us/intel-ipp) that has been kindly provided by Intel Corporation) is now based on IPP 9.0.1, which should make OpenCV even faster on modern Intel chips.
• There are multiple new features in the OpenCL layer, resulted from our collaboration with Intel Corporation
• Improved/extended interoperability with DirectX 9, 10, 11

Selected contributed functionality of Opencv 3.1

• 3x faster SimpleFlow – optflow 
• Improved performance of haartraining 
• Unscented Kalman Filter 
• Efficient Graph-based image segmentation algorithm

Selected Improvements in Opencv 3.1 contrib modules

• Improved Deformable Part-based Models – opencv_contrib/dpm
• Real-time Multi-object Tracking using Kernelized Correlation Filter – opencv_contrib/tracking
• Implementation of universal interface for deep neural network frameworks – opencv_contrib/dnn
• Improved ICF detector, waldboost implementation – opencv_contrib/xobjdetect
• Multi-target TLD tracking – opencv_contrib/tracking