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New: Ultralytics YOLO-Human #1 #12713

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Harry-KIT opened this issue May 16, 2024 · 2 comments
Open
1 task done

New: Ultralytics YOLO-Human #1 #12713

Harry-KIT opened this issue May 16, 2024 · 2 comments
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question Further information is requested

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@Harry-KIT
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Hi @glenn-jocher, I saw the news you shared yesterday about YOLO-Human. It is amazing, thank you. I have a question about this project.

Is the YOLO-Human project going to include behavior understanding, such as fall detection? As you know, the PaddleDetection project also has PP-Human, which supports fall detection. I am asking because both projects have a common feature in this regard.

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@Harry-KIT Harry-KIT added the question Further information is requested label May 16, 2024
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👋 Hello @Harry-KIT, thank you for your interest in Ultralytics YOLOv8 🚀! We recommend a visit to the Docs for new users where you can find many Python and CLI usage examples and where many of the most common questions may already be answered.

If this is a 🐛 Bug Report, please provide a minimum reproducible example to help us debug it.

If this is a custom training ❓ Question, please provide as much information as possible, including dataset image examples and training logs, and verify you are following our Tips for Best Training Results.

Join the vibrant Ultralytics Discord 🎧 community for real-time conversations and collaborations. This platform offers a perfect space to inquire, showcase your work, and connect with fellow Ultralytics users.

Install

Pip install the ultralytics package including all requirements in a Python>=3.8 environment with PyTorch>=1.8.

pip install ultralytics

Environments

YOLOv8 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):

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Ultralytics CI

If this badge is green, all Ultralytics CI tests are currently passing. CI tests verify correct operation of all YOLOv8 Modes and Tasks on macOS, Windows, and Ubuntu every 24 hours and on every commit.

@glenn-jocher
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Hi there!

Thanks for your interest in the YOLO-Human project! As of now, YOLO-Human focuses primarily on efficient and accurate human detection. We haven't included behavior understanding features like fall detection in the current scope, but it's definitely a great idea for future updates.

For now, if you need fall detection, you might consider integrating YOLO-Human for human detection with a separate behavior analysis model. Keep an eye on our updates; your feedback is very valuable for guiding future enhancements!

🌟 If you have further questions or suggestions, feel free to share! 🚀

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