OpenCV 101: A Practical Guide to the Open Computer Vision Library (1 of 4)
Session 1 of OpenCV 101 short course: A quick start guide to OpenCV. This session was presented by LLNL staff scientist Matt Rever at the Edward Teller Education Center on Aug. 15, 2016.
Abstract:
This course will provide a pragmatic, hands-on introduction to OpenCV suitable for any engineers or scientists who work with images and/or videos and wish to add a variety of classical and state-of-the-art vision algorithms to their toolbox.
The course was sponsored by Lawrence Livermore National Laboratory's Center for Advanced Signal and Image Sciences (CASIS), LLNL's Engineering Directorate, and was co-sponsored by the Oakland-East Bay Chapter of the IEEE Signal Processing Society.
For a full agenda, visit https://casis.llnl.gov/seminars/opencv
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