Simple YOLO Detection Example

This project is a basic example of using YOLO for object detection in video, displaying results in a simple graphical interface built with Tkinter.

Features

• Object detection in video using YOLO (Ultralytics)
• Real-time results visualization in a graphical window
• Ready-to-use example with sample video

Requirements

• Python 3.8 or higher
• Dependencies listed in requirements.txt

Installation

1. Clone the repository:

git clone https://github.com/your-repo/camfusion.git
cd camfusion

2. Install dependencies:

pip install -r requirements.txt

3. Download YOLO model weights and place them in the corresponding folder (verify the path in your code).

Usage

Run the main file:

python main.py

This will open a window showing the sample video (video_source/Quivolgo.mp4) with YOLO detections.

Project Structure

• main.py: Application entry point
• modules/ai_engine/models/factories/yolo.py: YOLO model loading and execution logic
• ui/view.py & ui/controller.py: Graphical interface and controller
• video_source/Quivolgo.mp4: Sample test video