training yolov8 pose-precision=0 recall=0 about ultralytics

[glenn-jocher]

Hello! Thanks for reaching out and providing detailed information about the issue you're encountering with training the YOLOv8 pose model.

From your description, it seems like the model is not learning as indicated by the zero precision and recall. Here are a couple of things you might want to check:

1. Data Integrity: Ensure that the coco8-pose.yaml file correctly points to the training and validation data and that the annotations are properly formatted and accurate.
2. Model Configuration: Verify that the yolov8n-pose.yaml model configuration matches the requirements for pose estimation tasks. Check for any discrepancies in the model architecture or data preprocessing steps.
3. Learning Parameters: Sometimes, training issues can arise from suboptimal learning rates or other hyperparameters. Consider experimenting with different learning rates or using a learning rate scheduler.

If these suggestions don't resolve the issue, it would be helpful to see more details about the loss values during training or any error messages you might be receiving. This information could provide further insights into what might be going wrong.

Feel free to share any updates or additional information, and we'll do our best to help you get this resolved! 🚀

[github-actions]

👋 Hello @s0966066980, 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.

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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

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.