Object Detection Project 🔎

This is a Python-based project focused on real-time object detection using the YOLOv4 Tiny model. The project features an interactive user interface with clickable buttons, allowing users to select and track specific objects based on class names.

Features ⭐

• 📷 Real-time object detection using YOLOv4 Tiny model
• 🖱️ Interactive user interface with clickable buttons
• 🎯 Ability to select and track specific objects based on class names
• 📏 Automatic resizing of button lengths based on class name lengths
• 🔍 Display of detected object class names on the frame
• 🖱️ Option to click on buttons to enable/disable object detection for specific classes
• 🎨 Easy customization of button labels and appearance
• 💡 Supports detection of multiple objects simultaneously with color-coded frames
• 🖥️ Integration with OpenCV for video capture and frame processing

Unique and Useful 🏆

• 🚀 This project combines the power of YOLOv4 Tiny object detection model with an interactive user interface, providing a seamless and intuitive way to select and track specific objects in real-time.
• 📏 The dynamic resizing of button lengths based on class name lengths ensures optimal use of screen space and enhances the visual appeal of the user interface.
• 🖱️ The ability to enable/disable object detection for specific classes through button clicks offers fine-grained control over the detection process, allowing users to focus on objects of interest.
• 🎨 The project's modular design makes it easy to customize the button labels, appearance, and other aspects to suit different use cases and requirements.
• 📷 With its real-time object detection capabilities and user-friendly interface, this project is well-suited for a variety of applications, including surveillance systems, object tracking, and interactive computer vision projects.
• 💡 Each detected object is represented by a color-coded frame, allowing for easy visual identification and distinction between different objects.

Screenshots 📷

Here are some screenshots of the program in action:

Setup 🔧

To set up the project, follow these steps:

1. Clone the repository: git clone https://github.com/AsadGudzevic94/Objectdetection.git
2. Navigate into the project directory: cd Objectdetection
3. Install the dependencies: pip install -r requirements.txt
4. Run the main script: python main.py

Contributions 🤝

Contributions are welcome! Please feel free to submit a pull request.