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Shokurov, Ariel Bernal, Balint Cristian, Ben Hagen, Bruno Goncalves, Daniel Stonier, Dmitry Melnichenko, Enes Ateş, Evgeny Talanin, GregoryMorse, Jan S. Vladislav Vinogradov, Alexander Alekhin, Alexander Smorkalov, Maksim Shabunin, Ilya Lavrenov, Roman Donchenko, StevenPuttemans, Pavel Rojtberg, Andrey Pavlenko, Seon-Wook Park, Pavel Vlasov, Suleyman TURKMEN, Viet Dinh, Alexey Ershov, berak, Vladimir Dudnik, Artur Wieczorek, Dan, Lorena García, Dikay900, ippei ito, Mansour Moufid, E Braun, Grigory Serebryakov, Alexander Karsakov, Alexander Nitsch, Vadim Pisarevsky, Vijay Pradeep, LaurentBerger, Marian Zajko, Nguyen Nguyen, Philipp Hasper, flp, sbokov, Andreas Stührk, PhilLab, Rok Mandeljc, Ruslan Baratov, askourik, songyuncen, Abe Friesen, Aman Verma, Dan Moodie, Dinar Ahmatnurov, Dominik Kleiser, Elad Joseph, Gleb Gladilov, Ishant Mrinal Haloi, Mike Maraya, Tom Stellard, Vitaly Tuzov, edgarriba, grundman, hoangviet1985, themightyoarfish, Adam Gibson, Andrey Kamaev, Camille, Cédric Rousseau, Elena Shipunova, Gregory Morse, Hajo Nils Krabbenhöft, Igor Kuzmin, Maxim Kostin, Renato Florentino Garcia, Richard Yoo, Samuel Martin, Seunghoon Park, Teng Cao, Yan Wang, a-andre, jiakai, unknown, Aleksandr Petrikov, Alex Torres, Alexander Duda, Anatoly Baksheev, Andrew Senin, Anton V. This is a list of the contributors, based on the git logs: opencv We would like to sincerely thank everybody who helped us to prepare the release, who submitted new functionality, patches, who submitted bug reports, who mentored the students, who donated to, the companies who funded development and everybody else to helped us in one or another way. HAL (Hardware Acceleration Layer) module functionality has been moved into corresponding basic modules the HAL replacement mechanism has been implemented along with the examples.

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Interoperability between T-API and OpenCL, OpenGL, DirectX and Video Acceleration API on Linux, as well as Android 5 camera.

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Newest operating systems are supported: Windows 10 and OSX 10.11 (Visual Studio 2015 and XCode 7.1.1).

opencv_contrib modules can now be included into the amework for iOS.

IPPICV is now based on IPP 9.0.1, which should make OpenCV even faster on modern Intel chips.

Multiple new image processing algorithms for filtering, segmentation and feature detection.

Many great contributions made by the community, such as:.

“3D pose estimation using CNNs” – opencv_contrib/cnn_3dobj (Yida Wang, Manuele Tamburrano, Stefano Fabri).

“Multi-target TLD tracking” – opencv_contrib/tracking module (Vladimir Tyan, Antonella Cascitelli).

“Improved ICF detector, waldboost implementation” – opencv_contrib/xobjdetect (Vlad Shakhuro, Alexander Bovyrin).

“Recent advances in edge-aware filtering, improved SGBM stereo algorithm” – opencv/calib3d and opencv_contrib/ximgproc (Alexander Bokov, Maksim Shabunin).

“Implementation of universal interface for deep neural network frameworks” – opencv_contrib/dnn module (Vitaliy Lyudvichenko, Anatoly Baksheev).

“Chessboard+ArUco for camera calibration” – opencv_contrib/aruco (Sergio Garrido, Prasanna, Gary Bradski).

“Structured-Light System Calibration” – opencv_contrib/structured_light (Roberta Ravanelli, Delia Passalacqua, Stefano Fabri, Claudia Rapuano).

“Stereo correspondence improvements” – opencv_contrib/stereo module (Mircea Paul Muresan, Sergei Nosov).

“Improved and expanded Scene Text Detection” – opencv_contrib/text module (Lluis Gomez, Vadim Pisarevsky).

“Real-time Multi-object Tracking using Kernelized Correlation Filter” – opencv_contrib/tracking module (Laksono Kurnianggoro, Fernando J.

“Improved Deformable Part-based Models” – opencv_contrib/dpm module (Jiaolong Xu, Bence Magyar).

“Structure From Motion” – opencv_contrib/sfm module (Edgar Riba, Vincent Rabaud).

“Omnidirectional Cameras Calibration and Stereo 3D Reconstruction” – opencv_contrib/ccalib module (Baisheng Lai, Bo Li).

#Openiv 3.1 download code

A lot of new functionality has been introduced during Google Summer of Code 2015:.The detailed list of changes since 3.0 can be found at.

#Openiv 3.1 download update

It shall be reminded that since OpenCV 3.0 we’ve changed the version enumeration scheme, so that 3.1 is the same sort of update to 3.0 as 2.4.1 was to 2.4.0. This is the first stabilization update in 3.x series. OpenCV 3.1 release is finally ready, right before the XMas holidays.