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Project Description

The Open Computer Vision Library is a collection
of algorithms and sample code for various computer
vision problems. The library is compatible with
IPL (Intel Image Processing Library) and utilizes
Intel Integrated Performance Primitives for better
performance.

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2010-09-27 21:54 Back to release list
2.1

All of OpenCV now uses exceptions instead of the old libc-style mechanism. Parallel loops in OpenCV were converted from OpenMP to Intel TBB. SWIG-based Python bindings are no longer supported, in favor of the new interface. More complete support for 64-bit OSes was implemented, including HighGUI. Dynamic host CPU detection was implemented. The GrabCut image segmentation algorithm was added. A better stereo correspondence algorithm (SGBM) was added. The gstreamer backend was improved. For build, autotools were completely replaced by CMake. Tons of bug fixes and test enhancements were made.

Tags: Major feature enhancements, Minor bugfixes

Project Resources

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