@ -6,7 +6,7 @@ keywords: Ultralytics, YOLO, open-source, contribution, pull request, code of co
# Contributing to Ultralytics Open-Source YOLO Repositories
First of all, thank you for your interest in contributing to Ultralytics open-source YOLO repositories! Your contributions will help improve the project and benefit the community. This document provides guidelines and best practices to get you started.
Thank you for your interest in contributing to Ultralytics open-source YOLO repositories! Your contributions will enhance the project and benefit the entire community. This document provides guidelines and best practices to help you get started.
## Table of Contents
@ -21,43 +21,43 @@ First of all, thank you for your interest in contributing to Ultralytics open-so
## Code of Conduct
All contributors are expected to adhere to the [Code of Conduct](code_of_conduct.md) to ensure a welcoming and inclusive environment for everyone.
All contributors must adhere to the [Code of Conduct](code_of_conduct.md) to ensure a welcoming and inclusive environment for everyone.
## Contributing via Pull Requests
We welcome contributions in the form of pull requests. To make the review process smoother, please follow these guidelines:
We welcome contributions in the form of pull requests. To streamline the review process, please follow these guidelines:
1. **[Fork the repository](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/working-with-forks/fork-a-repo)**: Fork the Ultralytics YOLO repository to your own GitHub account.
1. **[Fork the repository](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/working-with-forks/fork-a-repo)**: Fork the Ultralytics YOLO repository to your GitHub account.
2. **[Create a branch](https://docs.github.com/en/desktop/making-changes-in-a-branch/managing-branches-in-github-desktop)**: Create a new branch in your forked repository with a descriptive name for your changes.
3. **Make your changes**: Make the changes you want to contribute. Ensure that your changes follow the coding style of the project and do not introduce new errors or warnings.
3. **Make your changes**: Ensure that your changes follow the project's coding style and do not introduce new errors or warnings.
4. **[Test your changes](https://github.com/ultralytics/ultralytics/tree/main/tests)**: Test your changes locally to ensure that they work as expected and do not introduce new issues.
4. **[Test your changes](https://github.com/ultralytics/ultralytics/tree/main/tests)**: Test your changes locally to ensure they work as expected and do not introduce new issues.
5. **[Commit your changes](https://docs.github.com/en/desktop/making-changes-in-a-branch/committing-and-reviewing-changes-to-your-project-in-github-desktop)**: Commit your changes with a descriptive commit message. Make sure to include any relevant issue numbers in your commit message.
5. **[Commit your changes](https://docs.github.com/en/desktop/making-changes-in-a-branch/committing-and-reviewing-changes-to-your-project-in-github-desktop)**: Commit your changes with a descriptive commit message. Include any relevant issue numbers in your commit message.
6. **[Create a pull request](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/proposing-changes-to-your-work-with-pull-requests/creating-a-pull-request)**: Create a pull request from your forked repository to the main Ultralytics YOLO repository. In the pull request description, provide a clear explanation of your changes and how they improve the project.
6. **[Create a pull request](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/proposing-changes-to-your-work-with-pull-requests/creating-a-pull-request)**: Create a pull request from your forked repository to the main Ultralytics YOLO repository. Provide a clear explanation of your changes and how they improve the project.
### CLA Signing
Before we can accept your pull request, you need to sign a [Contributor License Agreement (CLA)](CLA.md). This is a legal document stating that you agree to the terms of contributing to the Ultralytics YOLO repositories. The CLA ensures that your contributions are properly licensed and that the project can continue to be distributed under the AGPL-3.0 license.
Before we can accept your pull request, you must sign a [Contributor License Agreement (CLA)](CLA.md). This legal document ensures that your contributions are properly licensed and that the project can continue to be distributed under the AGPL-3.0 license.
To sign the CLA, follow the instructions provided by the CLA bot after you submit your PR and add a comment in your PR saying:
```
I have read the CLA Document and I sign the CLA
I have read the CLA Document and I sign the CLA.
```
### Google-Style Docstrings
When adding new functions or classes, please include a [Google-style docstring](https://google.github.io/styleguide/pyguide.html) to provide clear and concise documentation for other developers. This will help ensure that your contributions are easy to understand and maintain.
When adding new functions or classes, include a [Google-style docstring](https://google.github.io/styleguide/pyguide.html) to provide clear and concise documentation for other developers. This helps ensure your contributions are easy to understand and maintain.
!!! Example "Example Docstrings"
=== "Google-style"
This example shows a Google-style docstring. Note that both input and output `types` must always be enclosed by parentheses, i.e. `(bool)`.
This example shows a Google-style docstring. Note that both input and output `types` must always be enclosed by parentheses, i.e.,`(bool)`.
```python
def example_function(arg1, arg2=4):
"""
@ -80,7 +80,7 @@ When adding new functions or classes, please include a [Google-style docstring](
=== "Google-style with type hints"
This example shows both a Google-style docstring and argument and return type hints, though both are not required, one can be used without the other.
This example shows both a Google-style docstring and argument and return type hints, though both are not required; one can be used without the other.
```python
def example_function(arg1: int, arg2: int = 4) -> bool:
"""
@ -103,7 +103,7 @@ When adding new functions or classes, please include a [Google-style docstring](
=== "Single-line"
Smaller or simpler functions can utilize a single-line docstring. Note the docstring must use 3 double-quotes, and be a complete sentence starting with a capital letter and ending with a period.
Smaller or simpler functions can utilize a single-line docstring. Note the docstring must use 3 double-quotes and be a complete sentence starting with a capital letter and ending with a period.
```python
def example_small_function(arg1: int, arg2: int = 4) -> bool:
"""Example function that demonstrates a single-line docstring."""
@ -112,11 +112,11 @@ When adding new functions or classes, please include a [Google-style docstring](
### GitHub Actions CI Tests
Before your pull request can be merged, all GitHub Actions [Continuous Integration](CI.md) (CI) tests must pass. These tests include linting, unit tests, and other checks to ensure that your changes meet the quality standards of the project. Make sure to review the output of the GitHub Actions and fix any issues
Before your pull request can be merged, all GitHub Actions [Continuous Integration](CI.md) (CI) tests must pass. These tests include linting, unit tests, and other checks to ensure your changes meet the project's quality standards. Review the output of the GitHub Actions and fix any issues.
## Reporting Bugs
We appreciate bug reports as they play a crucial role in maintaining the project's quality. When reporting bugs it is important to provide a [Minimum Reproducible Example](minimum_reproducible_example.md): a clear, concise code example that replicates the issue. This helps in quick identification and resolution of the bug.
We appreciate bug reports as they play a crucial role in maintaining the project's quality. When reporting bugs, it is important to provide a [Minimum Reproducible Example](minimum_reproducible_example.md): a clear, concise code example that replicates the issue. This helps in quick identification and resolution of the bug.
## License
@ -128,4 +128,4 @@ Users and developers are encouraged to familiarize themselves with the terms of
Thank you for your interest in contributing to [Ultralytics open-source](https://github.com/ultralytics) YOLO projects. Your participation is crucial in shaping the future of our software and fostering a community of innovation and collaboration. Whether you're improving code, reporting bugs, or suggesting features, your contributions make a significant impact.
We're eager to see your ideas in action and appreciate your commitment to advancing object detection technology. Let's continue to grow and innovate together in this exciting open-source journey. Happy coding! 🚀🌟
We look forward to seeing your ideas in action and appreciate your commitment to advancing object detection technology. Let's continue to grow and innovate together in this exciting open-source journey. Happy coding! 🚀🌟
# Creating a Minimum Reproducible Example for Bug Reports in Ultralytics YOLO Repositories
When submitting a bug report for UltralyticsYOLO repositories, it's essential to provide a [minimum reproducible example](https://docs.ultralytics.com/help/minimum_reproducible_example/) (MRE). An MRE is a small, self-contained piece of code that demonstrates the problem you're experiencing. Providing an MRE helps maintainers and contributors understand the issue and work on a fix more efficiently. This guide explains how to create an MRE when submitting bug reports to Ultralytics YOLO repositories.
When submitting a bug report for [Ultralytics](https://ultralytics.com) [YOLO](https://github.com/ultralytics) repositories, it's essential to provide a [Minimum Reproducible Example (MRE)](https://stackoverflow.com/help/minimal-reproducible-example). An MRE is a small, self-contained piece of code that demonstrates the problem you're experiencing. Providing an MRE helps maintainers and contributors understand the issue and work on a fix more efficiently. This guide explains how to create an MRE when submitting bug reports to Ultralytics YOLO repositories.
## 1. Isolate the Problem
The first step in creating an MRE is to isolate the problem. This means removing any unnecessary code or dependencies that are not directly related to the issue. Focus on the specific part of the code that is causing the problem and remove any irrelevant code.
The first step in creating an MRE is to isolate the problem. Remove any unnecessary code or dependencies that are not directly related to the issue. Focus on the specific part of the code that is causing the problem and eliminate any irrelevant sections.
## 2. Use Public Models and Datasets
When creating an MRE, use publicly available models and datasets to reproduce the issue. For example, use the 'yolov8n.pt' model and the 'coco8.yaml' dataset. This ensures that the maintainers and contributors can easily run your example and investigate the problem without needing access to proprietary data or custom models.
When creating an MRE, use publicly available models and datasets to reproduce the issue. For example, use the `yolov8n.pt` model and the `coco8.yaml` dataset. This ensures that the maintainers and contributors can easily run your example and investigate the problem without needing access to proprietary data or custom models.
## 3. Include All Necessary Dependencies
Make sure to include all the necessary dependencies in your MRE. If your code relies on external libraries, specify the required packages and their versions. Ideally, provide a `requirements.txt` file or list the dependencies in your bug report.
Ensure all necessary dependencies are included in your MRE. If your code relies on external libraries, specify the required packages and their versions. Ideally, list the dependencies in your bug report using `yolo checks` if you have `ultralytics` installed or `pip list` for other tools.
## 4. Write a Clear Description of the Issue
@ -26,13 +26,13 @@ Provide a clear and concise description of the issue you're experiencing. Explai
## 5. Format Your Code Properly
When submitting an MRE, format your code properly using code blocks in the issue description. This makes it easier for others to read and understand your code. In GitHub, you can create a code block by wrapping your code with triple backticks (\```) and specifying the language:
Format your code properly using code blocks in the issue description. This makes it easier for others to read and understand your code. In GitHub, you can create a code block by wrapping your code with triple backticks (\```) and specifying the language:
<pre>
````bash
```python
# Your Python code goes here
```
</pre>
````
## 6. Test Your MRE
@ -44,7 +44,7 @@ Here's an example of an MRE for a hypothetical bug report:
**Bug description:**
When running the `detect.py` script on the sample image from the 'coco8.yaml' dataset, I get an error related to the dimensions of the input tensor.
When running inference on a 0-channel image, I get an error related to the dimensions of the input tensor.
**MRE:**
@ -70,9 +70,9 @@ RuntimeError: Expected input[1, 0, 640, 640] to have 3 channels, but got 0 chann
**Dependencies:**
- torch==2.0.0
- ultralytics==8.0.90
- `torch==2.3.0`
- `ultralytics==8.2.0`
In this example, the MRE demonstrates the issue with a minimal amount of code, uses a public model ('yolov8n.pt'), includes all necessary dependencies, and provides a clear description of the problem along with the error message.
In this example, the MRE demonstrates the issue with a minimal amount of code, uses a public model (`"yolov8n.pt"`), includes all necessary dependencies, and provides a clear description of the problem along with the error message.
By following these guidelines, you'll help the maintainers and contributors of Ultralytics YOLO repositories to understand and resolve your issue more efficiently.
By following these guidelines, you'll help the maintainers and [contributors](https://github.com/ultralytics/ultralytics/graphs/contributors) of Ultralytics YOLO repositories to understand and resolve your issue more efficiently.
Glenn Jocher
5 months ago
committed by
GitHub