setup.sh

#!/bin/bash
# Setup script for Traffic Light Detection project

set -e  # Exit on error

echo "=========================================="
echo "Traffic Light Detection - Setup"
echo "=========================================="

# Check if conda is available
if ! command -v conda &> /dev/null; then
    echo "Error: conda not found. Please install Miniconda or Anaconda first."
    echo "Visit: https://docs.conda.io/en/latest/miniconda.html"
    exit 1
fi

# Create conda environment
echo ""
echo "Creating conda environment 'eff_tlight' with Python 3.10..."
conda create -n eff_tlight python=3.10 -y

# Activate environment
echo ""
echo "Activating environment..."
source "$(conda info --base)/etc/profile.d/conda.sh"
conda activate eff_tlight

# Install dependencies
echo ""
echo "Installing Python dependencies..."
pip install -r requirements.txt

# Create necessary directories
echo ""
echo "Creating project directories..."
mkdir -p experiments
mkdir -p results/statistics
mkdir -p results/visualizations
mkdir -p results/evaluation
mkdir -p results/demo
mkdir -p samples

echo ""
echo "=========================================="
echo "Setup Complete!"
echo "=========================================="
echo ""
echo "Next steps:"
echo "  1. Activate environment: conda activate eff_tlight"
echo "  2. Set Kaggle API token: export KAGGLE_API_TOKEN=<your-token>"
echo "  3. Download LISA dataset: See KAGGLE_SETUP.md"
echo "  4. Generate patches: python tools/generate_patch_dataset.py"
echo "  5. Train model: python train.py --data-dir <patch-dir>"
echo ""
echo "For more information, see README.md"