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INSTALL OPENCV 3.0.0 FOR ECLIPSE ON MAC SE HOW TO
INSTALL OPENCV 3.0.0 FOR ECLIPSE ON MAC SE UPDATE
INSTALL OPENCV 3.0.0 FOR ECLIPSE ON MAC SE ANDROID

INSTALL OPENCV 3.0.0 FOR ECLIPSE ON MAC SE UPDATE

(note: if anything is missing here, please, mail to us and we will update the announcement and the changelog).

DAISY features, LATCH descriptor, improved BRIEF.

Besides Google, we enjoyed (and hope that you will enjoy too) many useful contributions from community, like:.

2d shape matching module and 3d surface matching module.

INSTALL OPENCV 3.0.0 FOR ECLIPSE ON MAC SE HOW TO

greatly improved Python support, including Python 3.0 support, many new tutorials & samples on how to use OpenCV with Python.

general use optimization (hill climbing, linear programming).

new features, including line descriptors, KAZE/AKAZE.

many computational photography algorithms (HDR, inpainting, edge-aware filters, superpixels, …).

The results of many successful GSoC 20 projects have been integrated in opencv 3.0 and opencv_contrib (earlier results are also available in OpenCV 2.4.x).

Big thanks to Google who funded several successive GSoC programs and let OpenCV in.

Greatly improved WinRT support, including video capturing and multi-threading capabilities.

INSTALL OPENCV 3.0.0 FOR ECLIPSE ON MAC SE ANDROID

Improved Android support – now OpenCV Manager is in Java and supports both 2.4 and 3.0.Greatly improved and extended Python & Java bindings (also, see below on the Python bindings), newly introduced Matlab bindings (still in alpha stage).They now follow the uniform “abstract interface – hidden implementation” pattern and make extensive use of smart pointers (Ptr). We cleaned up API of many high-level algorithms from features2d, calib3d, objdetect etc.There is also new OpenCV HAL layer that will simplifies creation of NEON-optimized code and that should form a base for the open-source and proprietary OpenCV accelerators.~40 OpenCV functions have been accelerated using NEON intrinsics and because these are mostly basic functions, some higher-level functions got accelerated as well.

This work has been done by contract and with generous support from AMD and Intel companies. When OpenCL is available, it’s detected and used, but it can be disabled at compile time or at runtime. It does not add any compile-time or runtime dependency of OpenCL.

T-API (transparent API) has been introduced, this is transparent GPU acceleration layer using OpenCL.

It’s used by default in x86 and 圆4 builds on Windows, Linux and Mac.

a subset of Intel IPP (IPPCV) is given to us and our users free of charge, free of licensing fees, for commercial and non-commerical use.

Clone the repository and use “ cmake … -D OPENCV_EXTRA_MODULES_PATH= …” to build opencv and opencv_contrib together. A lot of new functionality is there already! opencv_contrib is only compatible with 3.0/master, not 2.4.

opencv_contrib ( ) repository has been added.

~1500 patches, submitted as PR github.

This is a short executive summary on what’s new in 3.0 vs 2.4: The changes since 3.0-rc, as well previous changes, can be found at.

And yet it’s very stable too – all the thousands of tests that we created during the project + many new tests pass successfully on Windows, Linux and Mac, 圆4 and ARM. With a great pleasure and great relief OpenCV team finally announces OpenCV 3.0 gold release, the most functional and the fastest OpenCV ever.