Path(os.path.relpath(ROOT, Path.cwd()))

[rickmoddy]

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Question

Is this line of code redundant? If I move the project to a different path and run the script from there, wouldn't the current working directory already be correct?

Additional

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[UltralyticsAssistant]

👋 Hello @rickmoddy, thank you for your interest in YOLOv5 🚀! Your question is noted, and we appreciate your curiosity about the code implementation. An Ultralytics engineer will assist you soon to provide clarity on your inquiry 😊.

In the meantime, please explore our ⭐️ YOLOv5 Tutorials for detailed guides on code functionality, setups, and advanced features.

To ensure we can assist you effectively, if your question pertains to a possible 🐛 bug or error, please provide a minimum reproducible example. This includes:

1. The exact code snippets you are running.
2. Details about your setup, such as your operating system, Python version, PyTorch version, and runtime environment.
3. A description of how to reproduce the behavior, if relevant.

Requirements

Python>=3.8.0 with all requirements.txt installed including PyTorch>=1.8. To ensure your environment meets the required setup, follow these steps:

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

Environments

You can also run YOLOv5 in any of the following cloud environments, which come preinstalled with dependencies:

• 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 validate the performance and correctness of YOLOv5 scripts for training, validation, inference, export, and benchmarking across macOS, Windows, and Ubuntu daily and on every commit.

We appreciate your patience and input into improving YOLOv5! 🚀

[pderrenger]

@rickmoddy this line converts the ROOT directory path to be relative to the current working directory, which ensures consistent path handling when running scripts from different locations. It's intentional and serves to:

1. Maintain portable relative paths if executing from outside the project directory
2. Prevent absolute path dependencies in saved results
   The current implementation follows Python best practices for path management across different execution contexts.