Join us in this episode as we explore the world of NVIDIA Jetson Nano and its usage of the DeepStream SDK to run inference on multiple streams using Ultralytics models 🚀. We'll guide you through setting up the Jetson Nano, configuring the system for YOLOv8, and optimizing AI inference across multiple video streams for enhanced performance.
Learn more ➡️ https://docs.ultralytics.com/guides/d...
📚 Key Highlights:
0:00 - Introduction to Jetson Nano: Overview of the setup and its potential in AI applications.
0:37 - Setting Up NVIDIA Jetson Nano: Step-by-step guide to configuring Jetson Nano for DeepStream.
0:44 - DeepStream SDK Documentation Walkthrough: Overview of using the DeepStream SDK for multiple streams.
1:21 - DeepStream SDK Architecture: Dive into the architecture for real-time data processing.
2:31 - Prerequisites for Installing DeepStream SDK: Requirements for a smooth installation process.
3:10 - DeepStream Configuration for Ultralytics YOLOv8: How to set up DeepStream for Inference on Multiple Streams using YOLOv8.
3:34 - Live Setup of Jetson Nano for YOLOv8: Real-time configuration for multiple stream inference on Jetson Nano.
4:15 - Converting YOLOv8 to ONNX: Learn how to convert PyTorch YOLOv8 models to ONNX format on Jetson Nano.
5:03 - YOLOv8 Configuration for DeepStream: Overview of setting up YOLOv8 in the DeepStream project.
7:10 - Setting Up DeepStream App for Video Streams: Walkthrough of the app configuration for streams in the DeepStream project.
8:18 - Running Inference on Multiple Streams: Using DeepStream SDK with YOLOv8 for real-time inference.
9:36 - Conclusion and Summary: Recap of key points and the future of Jetson Nano in AI applications.
🌟YOLO Vision 2024 (YV24), our annual hybrid Vision AI event is just days away! Happening on 27th September 2024 at Google for Startups Campus, Madrid.! Watch live on:
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