Vision YOLO Models

A repository for YOLO-based computer vision models for object detection.

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Installation Guide

1️⃣ Clone the Repository**

Clone this repository to your local machine:

git clone https://github.com/YOUR_USERNAME/Vision-YOLO-Models.git
cd Vision-YOLO-Models

2️⃣ Set Up a Virtual Environment (Recommended)

Using a virtual environment helps isolate dependencies and avoid conflicts.

For Windows

python -m venv .venv
.venv\Scripts\activate

For MacOS / Linux

python -m venv .venv
source .venv/bin/activate

3️⃣ Install Required Dependencies

Install all necessary packages from requirements.txt:

pip install -r requirements.txt

4️⃣ Verify Installation

Ensure all dependencies were installed correctly:

pip list

5️⃣ Running YOLO Model

To run the YOLO model on an image file:

python vision.py model.pt input.jpg  --show True

Running on a Video File

python vision.py model.pt video.mp4  --show True

Running on a Live Camera

python vision.py 0 --show True

Optional Arguments

Running on Image and saving to disk

python vision.py model.pt image.jpg --destination .\output\

Running on Image and showing to screen

python vision.py model.pt image.jpg --show True

Running on Video, showing to screen, and Using GPU (By default, GPU use is True)

python vision.py model.pt image.jpg --show True --gpu True

6️⃣ Updating Dependencies

If new dependencies are added, update requirements.txt:

pip freeze > requirements.txt

7️⃣ Contributing

We welcome contributions! Follow these steps:

Fork this repository 🍴 Create a new branch (git checkout -b feature-branch) Make your changes and commit (git commit -m "Add new feature") Push to your branch (git push origin feature-branch) Open a Pull Request for review! ✅

8️⃣ License

This project is licensed under the MIT License. Feel free to use and modify it as needed.

🔥 Happy Coding! 🚀 If you find this project useful, don’t forget to star ⭐ the repository!