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29th International Conference on Computer Graphics and Vision
The Organizing Committee of the 29th International Conference on Computer Graphics and Machine Vision Graficon-2019 welcomes you to the city of Bryansk!
For many years, the GrafiCon conference has been the largest scientific and discussion platform in Russia for discussing methods and technologies for computer image analysis, visual and cognitive analytics, 3D reconstruction, visual navigation and human-machine interaction, virtual and augmented reality, pattern recognition, etc. Continuing the traditions of previous years, Graficon is actively developing, expanding the geography of its participants, and with it the boundaries of the scientific and professional community.
MIVisionX – Computer Vision & Machine Learning with OpenVX
Date and Time: 15:00 - 16:00 Speaker: Kiriti Nagesh Gowda, AMD Radeon Technology Group Location: AMD Master Class, Room: Б402
In this talk, we will learn about MIVisionX toolkit and how to run inference efficiently using OpenVX and OpenVX Extensions. OpenVX is an open, royalty-free standard for cross platform acceleration of computer vision applications. It is designed by the Khronos Group to facilitate portable, optimized and power-efficient processing of methods for vision algorithms. The talk will go over each step required to convert a pre-trained neural net model into an OpenVX Graph and run this graph efficiently on any target hardware. In this talk, we will also learn about AMD MIVisionX which delivers open source implementation of OpenVX and OpenVX Extensions along with Neural Net Model Compiler & Optimizer.
MIVisionX toolkit is a set of comprehensive computer vision and machine intelligence libraries, utilities, and applications bundled into a single toolkit. AMD MIVisionX delivers highly optimized open source implementation of the Khronos OpenVXTM and OpenVXTM Extensions along with Convolution Neural Net Model Compiler & Optimizer supporting ONNX, and Khronos NNEFTM exchange formats. The toolkit allows for rapid prototyping and deployment of optimized workloads on a wide range of computer hardware, including small embedded x86 CPUs, APUs, discrete GPUs, and heterogeneous servers.