#!/usr/bin/env python3 """ Quick start script to test the lane detection system Creates a test video, processes it, and verifies the output """ import os import sys import tempfile def main(): print("=" * 60) print("OpenCV Lane Detection Demo - Quick Start") print("=" * 60) print() # Check imports print("1. Checking dependencies...") try: import cv2 print(f" ✓ OpenCV {cv2.__version__}") except ImportError: print(" ✗ OpenCV not found. Run: pip install opencv-python") sys.exit(1) try: import numpy as np print(f" ✓ NumPy {np.__version__}") except ImportError: print(" ✗ NumPy not found. Run: pip install numpy") sys.exit(1) print() # Create test video print("2. Creating test video...") from create_test_video import create_test_video temp_dir = tempfile.gettempdir() input_video = os.path.join(temp_dir, "quickstart_input.mp4") output_video = os.path.join(temp_dir, "quickstart_output.mp4") create_test_video(input_video, duration_sec=2, fps=15) print() # Process video print("3. Processing video with lane detection...") from lane_detection import process_video success = process_video(input_video, output_video) if not success: print(" ✗ Processing failed!") sys.exit(1) print(f" ✓ Processing complete!") print() # Verify output print("4. Verifying output...") if os.path.exists(output_video): size = os.path.getsize(output_video) print(f" ✓ Output file created: {output_video}") print(f" ✓ File size: {size:,} bytes") else: print(" ✗ Output file not found!") sys.exit(1) print() print("=" * 60) print("✅ SUCCESS! Lane detection system is working correctly.") print("=" * 60) print() print("Next steps:") print(" • Run Gradio UI: python app.py") print(" • Use CLI tool: python cli.py ") print(" • Run tests: python test_lane_detection.py") print() if __name__ == "__main__": try: main() except Exception as e: print(f"\n✗ Error: {e}") import traceback traceback.print_exc() sys.exit(1)