Jetson nano vs (Raspberry Pi 5 8GB + Hailo)

[MECHAAMER]

I'm reaching out to inquire about the best hardware solution for my object detection project. I'm aiming for a minimum of 10 FPS, high accuracy, and stable results. for that I may need yolov5su or yolov5m6u.

I've read that the Jetson Nano offers good performance and power efficiency, while the Raspberry Pi with Hailo accelerator seems to have a more complex setup and less community support.

I'm a bit confused about which option would be the most suitable for my needs. I would appreciate your expert advice on this matter.

Thank you for your time and assistance.

Best regards,

[UltralyticsAssistant]

👋 Hello @MECHAAMER, thank you for your interest in Ultralytics and your insightful question about hardware options for object detection projects 🚀!

For newcomers, I recommend visiting our Docs where you'll find both Python and CLI usage examples. This might offer some valuable insights that can inform your hardware decision.

If this is a 🐛 Bug Report, kindly provide a minimum reproducible example so we can better assist you.

For detailed technical queries such as your current one regarding custom hardware solutions, please include any specifics about the models you intend to deploy and the kind of datasets you're working with. This information can be crucial in providing precise advice.

Join our lively community where you can connect with others who may have experience with Jetson Nano or Raspberry Pi setups. For real-time assistance, check out our Discord 🎧. Prefer in-depth discussions? Visit our Discourse. Or join conversations on our Subreddit.

Upgrade

Ensure you are running the latest version of ultralytics along with all requirements in a compatible Python>=3.8 environment with PyTorch>=1.8:

pip install -U ultralytics

Environments

Consider testing your project in some of our verified environments that come with preinstalled dependencies:

• Notebooks with free GPU:
• Google Cloud Deep Learning VM. See GCP Quickstart Guide
• Amazon Deep Learning AMI. See AWS Quickstart Guide
• Docker Image. See Docker Quickstart Guide

Status

Check the current status of the repository to ensure all features are functioning as intended by verifying our Ultralytics CI. If the badge is green, all tests are passing:

Rest assured, an Ultralytics engineer will also assist you soon. Happy experimenting! 😊

[MECHAAMER]

I update my post, I mentioned the Yolo versions: 5su or 5m6u

[glenn-jocher]

@MECHAAMER thank you for the update. Both YOLOv5su and YOLOv5m6u are excellent options for edge devices, with YOLOv5m6u offering higher accuracy at the cost of more resources. Your hardware choice should balance model requirements with your device's capacity for optimal performance.

[MECHAAMER]

Thank you for your reply,

Can you help me to choice which the best, is it Jetson Nano or R.PI5 8GB +Hailo.

Which one has computing power enough to meet my requirements?

Which one supported more by ultralytics?