AI and Computer Vision Reference Designs for NVIDIA Jetson
Artificial Intelligence and Computer Vision are hard. Even developing a simple prototype for demonstration purposes or requesting VC funding can take a considerable amount of time. If each software framework is complex on its own, the interaction between them can be even more challenging. To help you with the initial steps of your product lifecycle, RidgeRun is centralizing a set of fully-functional examples in a fully-fledged development environment where everything works out-of-the-box. This allows you to quickly evaluate the board capabilities and have an easy-to-use starting point for your demo.
Figure1: A web page with the demos gallery
RidgeRun’s Reference Designs for NVIDIA Jetson is an ongoing project that integrates a set of examples in a reproducible Docker environment. The image contains the building blocks you need, and the examples show you how to put them to use. This allows you to focus on what makes your product unique and accelerates your time-to-market.
Our v0.1.0 pre-release will include:
Video analytics using DeepStream
Video analytics using GstInference
Image warping using GStreamer, CUDA, and OpenCV
Simple video player using GStreamer Daemon
Simple pipeline controller using GStreamer Daemon
WebRTC video streaming
Stay in touch to get notifications as we add new demos! Learn more in our developer's wiki:
Any Questions? : firstname.lastname@example.org
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