Arial.ttf download in Docker

[lchunleo]

❔Question

Additional context

Hi
i am trying to run in the yolov5 "detect.py" on my dataset and specified the weights in the docker container. However, it kept having
"Downloading https://ultralytics.com/assets/Arial.ttf to /usr/src/app/.config/Ultralytics/Arial.ttf..." which i did not see it when running the code outside the docker container. Can advise how to remove it? thank you

[github-actions]

👋 Hello @lchunleo, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.

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[SureshbabuAkash1999]

I think, for that, you have to remove the line which redirects to the downloads in the .yaml file.

[glenn-jocher]

@lchunleo we use Arial to print all the complex UTF and Chinese characters that are commonly used. If your system does not have the font, then it is downloaded the first time YOLOv5 runs.

Docker missing the font is interesting, we should probably package it directly in the container. I'll add a TODO item for this.

TODO: RUN install Arial in Dockerfile

[glenn-jocher]

Interesting update, Arial downloads to app/.config, which the user may delete, this seems to be caused by the following line. Should delete this line or assign /root to HOME.

yolov5/Dockerfile

Line 25 in 070af88

ENV HOME=/usr/src/app

[glenn-jocher]

@lchunleo @SureshbabuAkash1999 good news 😃! Your original issue may now be fixed ✅ in PR #5084. This PR adds Arial.ttf to the Docker image, avoiding the need for users to download the font when spinning up a container. Also removes un-needed HOME ENV assignment in Dockerfile.

Docker auto-build should have this ready to pull within about 15 minutes, you can check the status at https://hub.docker.com/r/ultralytics/yolov5.

To receive this update:

• Git – git pull from within your yolov5/ directory or git clone https://github.com/ultralytics/yolov5 again
• PyTorch Hub – Force-reload with model = torch.hub.load('ultralytics/yolov5', 'yolov5s', force_reload=True)
• Notebooks – View updated notebooks
• Docker – sudo docker pull ultralytics/yolov5:latest to update your image

Thank you for spotting this issue and informing us of the problem. Please let us know if this update resolves the issue for you, and feel free to inform us of any other issues you discover or feature requests that come to mind. Happy trainings with YOLOv5 🚀!

[glenn-jocher]

Verified working in latest image.

Removing TODO, task completed.