Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

close mosaic in yolov5 #13324

Open
1 task done
ChenJian7578 opened this issue Sep 19, 2024 · 1 comment
Open
1 task done

close mosaic in yolov5 #13324

ChenJian7578 opened this issue Sep 19, 2024 · 1 comment
Labels
question Further information is requested

Comments

@ChenJian7578
Copy link

Search before asking

Question

in v8, ultralytics/cfg/default.yaml. there have the parameter close_mosaic to close the mosaic in the last few epochs of training, so how can i Implement this functionality in v5?

Additional

No response

@ChenJian7578 ChenJian7578 added the question Further information is requested label Sep 19, 2024
@UltralyticsAssistant
Copy link
Member

👋 Hello @ChenJian7578, thank you for your interest in YOLOv5 🚀! This is an automated response, and an Ultralytics engineer will assist you soon.

To address your question about the mosaic augmentation parameter available in YOLOv8, and how to implement similar functionality in YOLOv5, please refer to our ⭐️ YOLOv5 Tutorials. These guides cover various topics such as Custom Data Training which might help you adapt augmentations to your needs.

If this is a 🐛 Bug Report, please provide a minimum reproducible example to assist us in troubleshooting.

For custom training or ❓ questions, include as much info as possible, like dataset examples and training logs, and verify you’re following our Training Tips.

Requirements

Ensure that Python>=3.8.0 is installed with all dependencies from requirements.txt, including PyTorch>=1.8. To set up, you can run:

git clone https://github.com/ultralytics/yolov5  # clone
cd yolov5
pip install -r requirements.txt  # install

Environments

YOLOv5 can run in diverse environments, such as:

  • Notebooks: Run on Gradient Open In Colab Open In Kaggle
  • Cloud: Google Cloud Deep Learning VM, Amazon Deep Learning AMI, refer to our Environment Guides

Status

Check the CI status here: YOLOv5 CI If it's green, all tests are passing.

Introducing YOLOv8 🚀

Explore our latest model, YOLOv8, designed for enhanced accuracy and efficiency. Check our YOLOv8 Docs to start:

pip install ultralytics

Happy exploring! 😊

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
question Further information is requested
Projects
None yet
Development

No branches or pull requests

2 participants