How can I use the segmentation models of previous versions? about ultralytics

[github-actions]

👋 Hello @boltholds, 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.

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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):

• 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

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[boltholds]

PS: This error also occurs when I call through the CLI or script

[glenn-jocher]

@boltholds hello,

Thank you for reaching out and providing detailed information about the issue you're encountering. It seems like there might be a compatibility issue when using YOLOv9 segmentation models alongside YOLOv10.

To assist you better, could you please provide a minimum reproducible code example? This will help us understand the context and reproduce the bug on our end. You can refer to our guide on creating a minimum reproducible example here: Minimum Reproducible Example. This step is crucial for us to investigate and resolve the issue effectively.

Additionally, please ensure that you are using the latest versions of torch and ultralytics. You can upgrade your packages using the following commands:

pip install --upgrade torch
pip install --upgrade ultralytics

Once you've updated, try running your code again to see if the issue persists.

If the problem continues, please share the reproducible code example, and we'll dive deeper into it.

Thank you for your cooperation and understanding! 😊