ubuntu.txt

Ubuntu Setup Guide for Adaptive CARLA RL Project

1. Install Dependencies
# System dependencies
sudo apt-get update
sudo apt-get install -y python3.7 python3.7-dev python3-pip
sudo apt-get install -y libomp-dev
sudo apt-get install -y libgl1-mesa-glx

2. Install CARLA
# Download CARLA 0.9.15
wget https://carla-releases.s3.eu-west-3.amazonaws.com/Linux/CARLA_0.9.15.tar.gz
tar -xvzf CARLA_0.9.15.tar.gz

# Set CARLA environment variables (add to ~/.bashrc)
export CARLA_ROOT=/path/to/CARLA_0.9.15
export PYTHONPATH=$PYTHONPATH:$CARLA_ROOT/PythonAPI/carla/dist/carla-0.9.15-py3.7-linux-x86_64.egg

3. Setup Python Environment
# Create virtual environment
python3.7 -m venv venv
source venv/bin/activate

# Install PyTorch
pip install torch torchvision --index-url https://download.pytorch.org/whl/cu118

# Install project dependencies
pip install -r assets/requirements.txt

4. Running the Project

Start CARLA Server:
# In one terminal
cd CARLA_0.9.15
./CarlaUE4.sh -quality-level=Low

Training:
# In another terminal
source venv/bin/activate
python scripts/train.py

Evaluation:
python scripts/evaluate.py --model path/to/model --config path/to/config

Visualization:
python scripts/visualize_comparison.py

Important Notes:
1. Ensure you have a CUDA-capable GPU and NVIDIA drivers installed
2. The project requires Python 3.7 for CARLA 0.9.15 compatibility
3. Adjust paths in config files to match your Ubuntu setup
4. Make sure CARLA server is running before starting training/evaluation

Troubleshooting:
- If you encounter CUDA errors, verify your NVIDIA drivers and CUDA installation
- For CARLA connection issues, ensure the server is running and ports are accessible
- If Python package installation fails, try updating pip: pip install --upgrade pip