Real-time Object Detection and Measurement

Overview

This project implements a real-time object detection and measurement system using deep learning and computer vision techniques. The system detects objects in video streams or images and measures their dimensions in real-time.

Features

Real-time object detection using state-of-the-art deep learning model YOLO. Support for multiple video sources, including webcams and IP cameras.

Requirements

Python 3.7+

OpenCV 4.5+

Yolo v8

NumPy

Installation

1. Clone the repository:

   git clone https://github.com/darkxcodes/Real-OBD.git

   cd Real-OBD

2. Create a virtual environment :

   python -m venv venv

3. Activate environment :

   source venv/bin/activate

   On Windows, use

   venv\Scripts\activate

4. Install the required dependencies:

   pip install -r requirements.txt

Usage

• Start the application:

  python main.py

Demo :

Real-OBD.Demo.mp4

Future Improvements

• More userfriendly.
• Implementation of attractive UI.
• And many more...

License

Feel free to use and modify, just follow me ⭐.

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