This course will help you learn about the Kria™ System-on-Module (SOM) and Kria KV260 Vision AI Starter Kit, enabling you to accelerate vision-based applications using the KV260 Starter Kit right out of the box without any installation or FPGA knowledge.
The course also provides information on how you can build your own hardware and software components, customize an AI model, and perform benchmarking. In addition, design guidelines for developing your own carrier card are covered.
The emphasis of this course is on:
- Providing an overview of the Kria K26 SOM and its advantages
- Providing an overview of the Kria KV260 Vision AI Starter Kit and how to get started with the kit
- Running accelerated applications, such as the Smart Camera, AI Box, and Defect Detection applications, using the kit
- Running the NLP SmartVision demo application using the kit with the PetaLinux and Ubuntu images
- Building the hardware and software design components from scratch
- Customizing the AI models used in the applications
- Reviewing the design guidelines for developers to design their own carrier card
What's New for 2022.1
- Added more content on supported tool flows for building hardware and software components
- Added Ubuntu image support for the NLP SmartVision accelerated application
- Updated the content with VVAS 2.0 and Vitis AI tool 2.0 support
- All labs have been updated to the latest software versions
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