ClearML no auth training ValueError bug

[glenn-jocher]

trafficstars

Search before asking

• [X] I have searched the YOLOv5 issues and found no similar bug report.

YOLOv5 Component

Training

Bug

@thepycoder ClearML raises ValueError when installed but not authenticated.

Environment

Python 3.7 Ubuntu Notebook

Minimal Reproducible Example

!git clone https://github.com/ultralytics/yolov5  # clone
%cd yolov5
%pip install -qr requirements.txt clearml # install

!python train.py

Additional

Should probably handle as a console printout/warning, i.e. ClearML: installed but not logged in. Please login to log training.

Are you willing to submit a PR?

• [ ] Yes I'd like to help by submitting a PR!

[github-actions[bot]]

👋 Hello @glenn-jocher, 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.

If this is a 🐛 Bug Report, please provide screenshots and minimum viable code to reproduce your issue, otherwise we can not help you.

If this is a custom training ❓ Question, please provide as much information as possible, including dataset images, training logs, screenshots, and a public link to online W&B logging if available.

For business inquiries or professional support requests please visit https://ultralytics.com or email [email protected].

Requirements

Python>=3.7.0 with all requirements.txt installed including PyTorch>=1.7. To get started:

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

Environments

YOLOv5 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 YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training, validation, inference, export and benchmarks on MacOS, Windows, and Ubuntu every 24 hours and on every commit.

[thepycoder]

Hi @glenn-jocher,

You're right, this is not the best experience, We're working right now to fix this for clearml in general, the change will then propagate to YOLOv5 as well. How urgent is this and are you ok with it being a fix on our end (meaning earlier package versions will still get it) or would you prefer a separate fix in the YOLOv5 repo as well?

[glenn-jocher]

@thepycoder yes we should sync up to see how we can streamline onboarding, in particular for the Colab notebook. I think there's room for improvement.