Simple Object Detection Software Readme

Version 1.0

Date: October 19, 2023

Author: Justin Pope

Table of Contents

Introduction Features System Requirements Installation Getting Started Usage Troubleshooting Contributing License

Introduction

Welcome to the first version of my Simple Object Detection Software! This software is designed to accurately determine the distance of objects from a single camera while simultaneously identifying the object type. It leverages Python 3.10.0 and PyTorch 2.1.0 to achieve its objectives.

Object detection is a crucial task in various fields, including robotics, autonomous vehicles, surveillance, and more. My software aims to provide a simplified solution to this problem, making it accessible for developers and researchers.

This readme will guide you through the installation, usage, and customization of the software.

Features

• Single-camera object detection
• Accurate distance estimation
• Object type classification
• Utilizes Python 3.10.0 and PyTorch 2.1.0

System Requirements

Before running the code, ensure that your system meets the following requirements:

• Python 3.10.0
• PyTorch 2.1.0
• YOLOv8
• Appropriate IDE for running PyTorch and image processing tasks (I recommend VS code)

Installation

1. Clone the repository from GitHub:

      git clone https://github.com/yourusername/ObjectDetectionForCars.git
   

2. Change to the project directory:

      cd ObjectDetectionForCars
   

3. Install the required dependencies using pip:

      pip3 install torch torchvision torchaudio
      pip install ultralytics
   

You're now ready to start using the software!

Getting Started

1. The software uses the pre-trained coco model for object detection. You can either use a pre-trained model provided in the repository or train your own model.

2. Configure the software by editing the settings in the 'main.py' file. You can specify the camera source, model path, and other parameters as needed.

3. Run the software via your IDE.

   The software will initiate object detection and display the results in real time.

Usage

The software provides real-time object detection and distance estimation using a single camera source.

The detected objects will be classified and displayed with bounding boxes.

You can press 'Q' to exit the software.

Troubleshooting

If you encounter any issues while using the software, please check the following:

Ensure you have installed all the required dependencies as mentioned in the installation section.

If you encounter any errors or bugs, please report them on my GitHub repository.

License

This software is released under the MIT License. Feel free to use, modify, and distribute it as per the terms of the license.