confusion matrix single about ultralytics

[github-actions]

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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

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[glenn-jocher]

Hello @WeisonWEileen,

Thank you for reaching out and providing detailed information about your issue. It looks like you're encountering a problem where your confusion matrix only shows one class despite having multiple classes in your test set.

To help us investigate this further, could you please provide a minimum reproducible code example? This will allow us to better understand the context and reproduce the issue on our end. You can find guidelines on how to create a minimum reproducible example here.

Additionally, please ensure that you are using the most recent 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 confirmed that you're on the latest versions, please try running your test again and let us know if the issue persists.

Looking forward to your response!