OpenCV 3.2 Computer Vision Stack Released
Written by Michael Larabel in Free Software on 28 December 2016 at 08:08 AM EST. Add A Comment
FREE SOFTWARE --
A big update to the Open-Source Computer Vision library was quietly released just before Christmas.

OpenCV 3.2 features many improvements to the DNN module, support for more image formats and camera back-ends, an interactive camera calibration application, more algorithms have been added, support for the newest operating systems, various Intel and ARM architecture optimizations, support for using a vendor-provided OpenVX and LAPACK/BLAS libraries, and much more.

Thanks to the Google Summer of Code are also some improvements and documentation enhancements, including OpenCV tutorials in Python / C++ / Java. OpenCV 3.2 also now exposes OpenCL acceleration to Python, the DNN module has refactored OpenCL acceleration, several OpenCL kernels were added that are optimized for Intel graphics, CUDA 8 is now supported, and a lot of other changes.

More details on the OpenCV 3.2 release via the announcement at OpenCV.org while a closer look at the changes for this Computer Vision library update can be found from this GitHub page.
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Michael Larabel is the principal author of Phoronix.com and founded the site in 2004 with a focus on enriching the Linux hardware experience. Michael has written more than 10,000 articles covering the state of Linux hardware support, Linux performance, graphics drivers, and other topics. Michael is also the lead developer of the Phoronix Test Suite, Phoromatic, and OpenBenchmarking.org automated benchmarking software. He can be followed via Twitter or contacted via MichaelLarabel.com.

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