Self-Driving-car-project

open source project for Self-Driving-car using python and its modules open to contributions

Overview

Welcome to the Self-Driving Car Project repository! This project aims to create a self-driving car system using cutting-edge technologies and deep learning algorithms. The goal is to build a robust autonomous driving system capable of navigating real-world environments safely and efficiently.

Table of Contents

• Prerequisites
• Getting Started
• Project Structure
• Dependencies
• Installation
• Usage
• Contributing
• License
• Acknowledgements

Prerequisites

Before you begin, ensure you have the following installed:

• Python (version >= 3.6)
• TensorFlow (version >= 2.0)
• OpenCV (version >= 4.0)
• NumPy
• Matplotlib

Getting Started

To get started with this project, follow these steps:

1. Clone the repository:

   git clone https://github.com/username/self-driving-car-project.git
   cd self-driving-car-project
   

2. Install dependencies:

   pip install -r requirements.txt
   

3. Download the dataset: Download the self-driving car dataset and place it in the data/ directory. You can find the dataset here.

4. Train the model: Train the self-driving car model using the provided scripts. You can customize the training parameters in the configuration files located in the config/ directory.

5. Test the model: After training, test the model using test images or videos to evaluate its performance.

Project Structure

The repository is organized as follows:

• data/: Contains the dataset for training and testing the model.
• models/: Contains pre-trained models and checkpoints.
• config/: Contains configuration files for training and testing.
• src/: Contains the source code for the self-driving car system.
  • data_loader.py: Data loading and preprocessing functions.
  • model.py: Definition of the self-driving car model architecture.
  • train.py: Training script.
  • test.py: Testing script.
• utils/: Contains utility functions used in the project.

Dependencies

• TensorFlow
• OpenCV
• NumPy
• Matplotlib

Installation

To install the required dependencies, run:

pip install -r requirements.txt

Usage

1. Training:

   python src/train.py
   

   Customize the training configuration by editing the files in the config/ directory.

2. Testing:

   python src/test.py
   

   Customize the testing configuration by editing the files in the config/ directory.

Contributing

We welcome contributions from the community. If you find any issues or have suggestions for improvement, please create an issue or a pull request.

License

This project is licensed under the MIT License.

Acknowledgements

Special thanks to the contributors and open-source community for their valuable contributions to this project.

Happy Coding! 🚗💻