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Creare un esempio minimo riproducibile per le segnalazioni di bug nei repository di Ultralytics YOLO

When submitting a bug report for Ultralytics YOLO repositories, it's essential to provide a 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.

1. Isolare il problema

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. Utilizzare modelli e dataset pubblici

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. Includere tutte le dipendenze necessarie

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. Scrivi una chiara descrizione del problema

Fornisci una descrizione chiara e concisa del problema che stai riscontrando. Spiega il comportamento previsto e quello effettivo che stai riscontrando. Se applicabile, includi tutti i messaggi di errore o i log rilevanti.

5. Formatta il tuo codice in modo corretto

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:

```python
# Your Python code goes here
```

6. Prova il tuo MRE

Prima di inviare il tuo MRE, testalo per assicurarti che riproduca accuratamente il problema. Assicurati che gli altri possano eseguire il tuo esempio senza problemi o modifiche.

Esempio di MRE

Ecco un esempio di MRE per un'ipotetica segnalazione di bug:

Descrizione del bug:

When running inference on a 0-channel image, I get an error related to the dimensions of the input tensor.

MRE:

import torch

from ultralytics import YOLO

# Load the model
model = YOLO("yolov8n.pt")

# Load a 0-channel image
image = torch.rand(1, 0, 640, 640)

# Run the model
results = model(image)

Messaggio di errore:

RuntimeError: Expected input[1, 0, 640, 640] to have 3 channels, but got 0 channels instead

Dipendenze:

  • 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.

By following these guidelines, you'll help the maintainers and contributors of Ultralytics YOLO repositories to understand and resolve your issue more efficiently.



Created 2023-11-12, Updated 2024-06-09
Authors: IvorZhu331 (1), glenn-jocher (3)

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