How to train YOLOv9

[UltralyticsAssistant]

Show me code for training and export to CoreML for YOLOv9 with ultralytics. Also I have a feature request, and where can I submit a bug report?

[UltralyticsAssistant]

👋 Hello @glenn-jocher, thank you for submitting a ultralytics/velocity 🚀 Discussion. To help us address your concern efficiently, please ensure you've provided the following information:

1. For bug reports:

   • A clear and concise description of the bug
   • A minimum reproducible example (MRE)[https://docs.ultralytics.com/help/minimum_reproducible_example/] that demonstrates the issue
   • Your environment details (OS, Python version, package versions)
   • Expected behavior vs. actual behavior
   • Any error messages or logs related to the issue

2. For feature requests:

   • A clear and concise description of the proposed feature
   • The problem this feature would solve
   • Any alternative solutions you've considered

3. For questions:

   • Provide as much context as possible about your question
   • Include any research you've already done on the topic
   • Specify which parts of the documentation, if any, you've already consulted

For your specific cases:

YOLOv8 OBB training:
To train YOLOv8 OBB, follow these steps:

1. Prepare your dataset: Ensure your dataset is in the correct format. YOLOv8 typically requires annotations to be in YOLO format. For OBB (Oriented Bounding Box), the format would slightly differ to include angles.
2. Customize configuration: Edit the config.yaml file to match your dataset specifics. Change paths, classes, and parameters accordingly.
3. Training script:

   from ultralytics import YOLO
   
   # Load the YOLOv8 model
   model = YOLO('yolov8.yaml')  # specify your config file
   
   # Train the model
   model.train(data='path/to/your/data.yaml', epochs=50, imgsz=640, batch=16, name='yolov8-obb-model')

Addressing a Bug:
Please provide the following:

• A clear description of the bug and a minimum reproducible example (MRE).
• Your environment details (OS, Python version, package versions etc.)
• Expected behavior vs. actual behavior
• Error messages/logs related to the issue.

Feature Request:

• Describe the feature you'd like to see.
• Explain the problem this feature would solve.
• Provide any alternative solutions you've considered.

Please make sure you've searched existing discussions to avoid duplicates. If you need to add any additional information, please comment on this discussion.

Thank you for your contribution to improving our project! An Ultralytics engineer will also assist soon 😊

[UltralyticsAssistant]

👋 Hello @glenn-jocher, thank you for submitting a ultralytics/velocity 🚀 Discussion. To help us address your concern efficiently, please ensure you've provided the following information:

1. For bug reports:

   • A clear and concise description of the bug
   • A minimum reproducible example (MRE)[https://docs.ultralytics.com/help/minimum_reproducible_example/] that demonstrates the issue
   • Your environment details (OS, Python version, package versions)
   • Expected behavior vs. actual behavior
   • Any error messages or logs related to the issue

2. For feature requests:

   • A clear and concise description of the proposed feature
   • The problem this feature would solve
   • Any alternative solutions you've considered

3. For questions:

   • Provide as much context as possible about your question
   • Include any research you've already done on the topic
   • Specify which parts of the documentation, if any, you've already consulted

Specifically for training YOLOv8 OBB (Oriented Bounding Boxes), you can follow these steps to start your training:

from ultralytics import YOLO

# Load the model
model = YOLO('yolov8n')  # Load a pre-trained model

# Replace 'your_dataset' with your dataset path
results = model.train(data='your_dataset.yaml', epochs=100, imgsz=640, project='yolov8-obb', name='exp')

To handle the bug you've encountered, please provide the following information within this discussion:

• What specific issue are you facing?
• The code you are using and any relevant configuration files
• Detailed steps to reproduce the bug
• Any relevant logs or console outputs

For the feature request, kindly detail:

• The functionality you wish to see
• How it could benefit your workflow or enhance the project
• Any other solutions or workarounds you've tried

Please make sure you've searched existing discussions to avoid duplicates. If you need to add any additional information, please comment on this discussion.

Thank you for your contribution to improving our project! An Ultralytics engineer will also assist you shortly. 🚀

[UltralyticsAssistant]

👋 Hello @glenn-jocher, thank you for submitting a ultralytics/velocity 🚀 Discussion. To help us address your concern efficiently, please ensure you've provided the following information:

1. For bug reports:

   • A clear and concise description of the bug
   • A minimum reproducible example (MRE)[https://docs.ultralytics.com/help/minimum_reproducible_example/] that demonstrates the issue
   • Your environment details (OS, Python version, package versions)
   • Expected behavior vs. actual behavior
   • Any error messages or logs related to the issue

2. For feature requests:

   • A clear and concise description of the proposed feature
   • The problem this feature would solve
   • Any alternative solutions you've considered

3. For questions:

   • Provide as much context as possible about your question
   • Include any research you've already done on the topic
   • Specify which parts of the documentation, if any, you've already consulted

Given your query touches upon multiple areas including training YOLOv8 OBB, bug reporting, and feature requests, here are detailed guidelines you can follow:

1. Training YOLOv8 OBB:

   • Please provide your dataset format and a snippet of your configuration file.
   • Code example on how you are initializing and training YOLOv8 OBB.

   from ultralytics import YOLO
   model = YOLO('yolov8-obb')  # specify model
   model.train(data='your_dataset.yaml', epochs=50)  # training command

2. Bug Reporting:

   • Describe the bug related to YOLOv8 OBB training with specific details.
   • Provide error logs or screenshots if available.
   • Mention the versions of the OS, Python, and relevant packages you are using.

3. Feature Request:

   • Clearly describe the new feature you want to propose.
   • Explain why you think this feature would be beneficial and any potential alternatives.

Please make sure you've searched existing discussions to avoid duplicates. If you need to add any additional information, please comment on this discussion.

Thank you for your contribution to improving our project! An Ultralytics engineer will assist you soon. 😃