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2019 EVS – OpenVX Presentations - Session 4

The Khronos Group

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Intermediate. Assumes working knowledge.

757 views7 years ago1 recommendation

Graphics and audioAI and machine learningComputer visionEmbedded systemsGPUs, shaders and CUDA

An overview of hardware acceleration for machine learning and computer vision using the OpenVX standard API on embedded devices.

Khronos presented a day-long hands-on Hardware Acceleration for Machine Learning and Computer Vision through Khronos Open Standard APIs Slides: khr.io/rr

Why it's here

1 person recommends this

What people say. Recommended as an alternative to OpenCV for targeting hardware accelerators in embedded devices like security cameras.

u/xealitsin r/embedded • Recommends

On “Good alternatives to OpenCV”

Just to add, OpenVX targets accelerators in embedded devices. (An OpenVX playlist from Khronos.) It provides basic primitives for graphics transformations. OpenCV can build on top of that something more complex. But, the point is that OpenVX itself may be enough for some applications. There was this example of using it in security cameras.
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