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🚀 Feature Request: Simplified Method for Changing Label Names in YOLOv5 Model #13036

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osalhi-kali opened this issue May 21, 2024 · 3 comments
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enhancement New feature or request Stale Stale and schedule for closing soon

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@osalhi-kali
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osalhi-kali commented May 21, 2024

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  • I have searched the YOLOv5 issues and found no similar feature requests.

Description

Background

Many users have reported issues with misspelled label names in their trained YOLOv5 models. Often, they are unaware of how to update these labels easily and end up retraining the entire model, which is impractical and time-consuming. Issues such as #12156 and #3577 highlight the need for a straightforward solution to update label names in an existing YOLOv5 model.
Proposed Solution

I propose adding a guide and utility script to the YOLOv5 documentation that explains how to change label names without retraining the model. This solution leverages PyTorch to load, update, and save the model with new label names.
Implementation Guide

The following Python script demonstrates how to change the label names of a YOLOv5 model:

import torch

# Load your trained YOLOv5 model
model = torch.load("path/to/best.pt")

# Define New Label Names
model['model'].names = ["name1", "name2", ...]

# Save the updated model
torch.save(model, "path/to/update_best.pt")

Adding this guide to the YOLOv5 documentation will greatly benefit users who face issues with label name errors. It addresses a common problem and provides a practical, efficient solution.

Thank you for considering this feature request.

Use case

No response

Additional

No response

Are you willing to submit a PR?

  • Yes I'd like to help by submitting a PR!
@osalhi-kali osalhi-kali added the enhancement New feature or request label May 21, 2024
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github-actions bot commented May 21, 2024

👋 Hello @osalhi-kali, 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 a minimum reproducible example to help us debug it.

If this is a custom training ❓ Question, please provide as much information as possible, including dataset image examples and training logs, and verify you are following our Tips for Best Training Results.

Requirements

Python>=3.8.0 with all requirements.txt installed including PyTorch>=1.8. 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):

Status

YOLOv5 CI

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.

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Check out our YOLOv8 Docs for details and get started with:

pip install ultralytics

@glenn-jocher
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Hello! Thanks for your feature request and for providing a detailed proposal on how to simplify the process of changing label names in YOLOv5 models. 🚀

Your suggestion to add a utility script and guide for updating label names directly in the model file without retraining is indeed valuable. This could save users a lot of time and effort, especially when dealing with minor errors like misspellings.

We appreciate your initiative in drafting a potential solution. I'll bring this to the team's attention so we can discuss the feasibility of integrating this feature into our documentation or tools. Your contribution to making YOLOv5 more user-friendly is invaluable, and we encourage you to stay tuned for updates or consider submitting a PR as you mentioned!

Thanks again for your input and support for the YOLOv5 community! 🌟

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👋 Hello there! We wanted to give you a friendly reminder that this issue has not had any recent activity and may be closed soon, but don't worry - you can always reopen it if needed. If you still have any questions or concerns, please feel free to let us know how we can help.

For additional resources and information, please see the links below:

Feel free to inform us of any other issues you discover or feature requests that come to mind in the future. Pull Requests (PRs) are also always welcomed!

Thank you for your contributions to YOLO 🚀 and Vision AI ⭐

@github-actions github-actions bot added the Stale Stale and schedule for closing soon label Jun 21, 2024
@github-actions github-actions bot closed this as not planned Won't fix, can't repro, duplicate, stale Jul 1, 2024
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