Accelerating Industrial Vision applications from problem to solution. It does not matter if you are beginner or advanced software developer, working for years with OpenCV or just interested to know-how to translate Convolutional Neural Network into a running application.
Join us and learn how to effectively accelerate and reduce time to market of your high performance vision AI application using the Vitis™ unified programming paradigm from Xilinx.
Computer Vision and Image Processing are ubiquitous today in a wide range of applications like Robotics, IIoT, Surveillance, Medical Imaging, ADAS, and Video Streaming services and are also a critical part of the end-to-end processing pipeline of AI-powered vision solutions. During this series you will learn how Xilinx can be used to successfully implement and accelerate your application using Vitis™ Unified Software Platform.From the Neural Network Model to the final inference: AI/ML acceleration within popular software development platforms like Tersor Flow and PyTorch as well as hardware-accelerated open source libraries, Python, C, C++ Support, Apache TVM, pre-trained CNNs – all steps and available tools within Vitis™ will be explained and presented with real examples.
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