Autonomous Driving in Euro Truck Simulator 2

This project aims to demonstrate a simple form of autonomous driving in Euro Truck Simulator 2 (ETS2) using a Convolutional Neural Network (CNN) combined with Long Short-Term Memory (LSTM) networks. The model predicts driving actions based on sequences of screenshots from the game.

Project Structure

data_collection.py: Script to collect data from ETS2. It captures sequences of screenshots and corresponding keyboard inputs.
train_model.py: Script to train the CNN-LSTM model on the collected data.
drive_autonomously.py: Script to autonomously drive in ETS2 based on the trained model's predictions.

Installation

Clone the Repository

git clone https://github.com/your-repository/ets2-autonomous-driving.git
cd ets2-autonomous-driving

Install Required Libraries

You need Python 3.x and the following libraries: TensorFlow, NumPy, OpenCV, PyAutoGUI, and PyGetWindow.
```
pip install tensorflow numpy opencv-python pyautogui pygetwindow
```
Game Setup

Ensure Euro Truck Simulator 2 is installed and configured to run in a windowed mode with a consistent window title (e.g., "Euro Truck Simulator 2").

Usage

Data Collection

Run data_collection.py while playing ETS2 to collect training data.
```
python data_collection.py
```
Use Page Up to start collecting data and Page Down to stop. Data will be saved in the ets2_data directory.
Training the Model

After collecting enough data, train the model using train_model.py.
```
python train_model.py
```
The trained model will be saved as ets2_autonomous_driving_model.h5.
Autonomous Driving

Launch ETS2 and run drive_autonomously.py to start autonomous driving.
```
python drive_autonomously.py
```
The script will capture the game screen and use the model to predict and perform driving actions.

Important Notes

Safety: This project is intended for educational purposes and should be used responsibly.
Control: Be prepared to take manual control of the game at any time.
Performance: The accuracy and performance depend on the quality and quantity of training data.
Terms of Use: Ensure compliance with the terms of use of ETS2.

Contributions