Embedded Vision Summit May 4, 2016: Khronos OpenVX Tutorial - This course covers both the function-based API and the graph API that enable OpenVX developers to efficiently run computer vision algorithms on heterogeneous computing architectures. A section explains the tutorial exercises with a VirtualBox VM. Embedded Vision Summit schedule is below, the tutorial is on Github and the associated videos from the day long tutorial are available on Youtube.
|OpenVX 1.1: Summary of deltas from OpenVX 1.0.1 (Jesse Villarreal, TI)||Video|
|NVIDIA VisionWorks (Elif Albuz, NVIDIA)||Video|
|AMD OpenVX -- open-source on GitHub (Mike Schmit, AMD)||Video|
|Imagination OpenVX and OpenCL - User Nodes (Chris Longstaff, Imagination)||Video|
|Synopsys experience with OpenVX for Face Tracking (Pierre Paulin, Synopsis)||Video|
|4:45pm-5:00pm||Wrap-up and Q&A|
The 2016 Embedded Vision Summit provides a unique opportunity for product creators who want to incorporate visual intelligence into their products to learn from leading technology innovators. It’s the place to hear insightful and inspiring presentations and engage directly with computer vision experts. This event will include:
Date: Wednesday, May 4, 9:00 AM - 5:00 PM | Website
Take a deep dive into the OpenVX cross-platform, open standard for power-efficient vision acceleration. The workshop begins with an overview of the vision acceleration API landscape and illustrates the unique industry needs and requirements that OpenVX fulfills. Attendees will receive an in-depth tutorial on the architecture of OpenVX and how to apply it to their applications. The lectures are followed by a hands-on lab where attendees are invited to bring their own laptops to try out real-world examples of OpenVX acceleration. The day concludes with an overview of the vendors that are making OpenVX available for developers to use – and up-to-the minute information on how attendees can deploy OpenVX in their own applications and products.
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