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Signed-off-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Muhammad Rizwan Munawar 2024-08-30 05:52:10 +05:00 • committed by GitHub
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6
docs/en/guides/deepstream-nvidia-jetson.md
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@ -8,7 +8,7 @@ keywords: Ultralytics, YOLOv8, NVIDIA Jetson, JetPack, AI deployment, embedded s
This comprehensive guide provides a detailed walkthrough for deploying Ultralytics YOLOv8 on [NVIDIA Jetson](https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/) devices using DeepStream SDK and TensorRT. Here we use TensorRT to maximize the inference performance on the Jetson platform.
<img width="1024" src="https://github.com/ultralytics/ultralytics/assets/20147381/67403d6c-e10c-439a-a731-f1478c0656c8" alt="DeepStream on NVIDIA Jetson">
<img width="1024" src="https://github.com/ultralytics/docs/releases/download/0/deepstream-nvidia-jetson.avif" alt="DeepStream on NVIDIA Jetson">
!!! Note
@ -168,7 +168,7 @@ deepstream-app -c deepstream_app_config.txt
It will take a long time to generate the TensorRT engine file before starting the inference. So please be patient.
<div align=center><img width=1000 src="https://github.com/ultralytics/ultralytics/assets/20147381/61bd7710-d009-4ca6-9536-2575f3eaec4a" alt="YOLOv8 with deepstream"></div>
<div align=center><img width=1000 src="https://github.com/ultralytics/docs/releases/download/0/yolov8-with-deepstream.avif" alt="YOLOv8 with deepstream"></div>
!!! Tip
@ -288,7 +288,7 @@ To set up multiple streams under a single deepstream application, you can do the
deepstream-app -c deepstream_app_config.txt
```
<div align=center><img width=1000 src="https://github.com/ultralytics/ultralytics/assets/20147381/c2b327c8-75a4-4bc9-8e2d-cf023862a5d6" alt="Multistream setup"></div>
<div align=center><img width=1000 src="https://github.com/ultralytics/docs/releases/download/0/multistream-setup.avif" alt="Multistream setup"></div>
## Benchmark Results