Ultralytics not working on Jetpack 6.0? about ultralytics HOT 3 CLOSED

Hi there! It seems like you're encountering compatibility issues with the latest Jetpack 6.0 update. Here are a couple of suggestions that might help:

1. Check for Compatibility Updates: Ensure that all dependencies, especially opencv-python, are compatible with Jetpack 6.0. Sometimes, newer OS versions require specific versions of packages.

2. Manual Dependency Management: Try manually installing a compatible version of opencv-python before installing Ultralytics. You can do this using:

   pip install opencv-python==4.5.5.64

   Then proceed with the Ultralytics installation.

3. Use Virtual Environments: If not already, using a Python virtual environment might help manage dependencies better without conflicting with the system packages.

4. Consult NVIDIA's Documentation: Since this issue arose after updating to Jetpack 6.0, NVIDIA's release notes or forums might have specific guidance or mention similar issues.

If these steps don't resolve the issue, it might be helpful to raise this with the NVIDIA support forums to check for any known issues with Jetpack 6.0 and Docker compatibility. 🚀

from ultralytics.

Hi @glenn-jocher,

I was able to fix this by going back one version of the nvidia jetson-inference docker image. While I cant say what exactly was the problem, it does work now and ultralytics does install normally. Thanks! :)

Conclusion: nvidia/jetson-inference:r36.3.0 has some incompatibility with ultralytics package, use r36.2.0 instead when on Jetpack 6 for quick fix

from ultralytics.

Hi there! Great to hear you found a workaround by using the previous version of the NVIDIA Jetson-inference Docker image. 🎉 It's helpful to know about the compatibility issue with nvidia/jetson-inference:r36.3.0. Your feedback is invaluable and will surely assist others facing similar issues. Thanks for sharing your solution! 🚀

from ultralytics.