| |
| """ |
| Evaluate a single Qwen-VL model variant on PVSG dataset |
| """ |
| import argparse |
| import sys |
| from pathlib import Path |
|
|
| from evaluator import PVSGEvaluator |
| from config import MODELS |
|
|
|
|
| def main(): |
| parser = argparse.ArgumentParser(description="Evaluate Qwen-VL model on PVSG dataset") |
| parser.add_argument( |
| "--model_variant", |
| choices=list(MODELS.keys()), |
| required=True, |
| help="Model variant to evaluate" |
| ) |
| parser.add_argument( |
| "--device", |
| default="auto", |
| help="Device to use for inference (auto, cuda, cpu)" |
| ) |
| parser.add_argument( |
| "--max_videos", |
| type=int, |
| default=None, |
| help="Maximum number of videos to evaluate (default: all test videos)" |
| ) |
| parser.add_argument( |
| "--no_save_intermediate", |
| action="store_true", |
| help="Don't save intermediate checkpoints" |
| ) |
| |
| args = parser.parse_args() |
| |
| print(f"Starting evaluation of {args.model_variant} model") |
| print(f"Model config: {MODELS[args.model_variant]}") |
| |
| |
| evaluator = PVSGEvaluator( |
| model_variant=args.model_variant, |
| device=args.device, |
| max_videos=args.max_videos |
| ) |
| |
| |
| try: |
| results = evaluator.evaluate_all_videos( |
| save_intermediate=not args.no_save_intermediate |
| ) |
| |
| |
| summary = evaluator.get_evaluation_summary() |
| print("\\n" + "="*50) |
| print("EVALUATION SUMMARY") |
| print("="*50) |
| for key, value in summary.items(): |
| print(f"{key}: {value}") |
| |
| print(f"\\nEvaluation completed successfully!") |
| print(f"Results saved in: {Path(__file__).parent / 'results'}") |
| |
| except KeyboardInterrupt: |
| print("\\nEvaluation interrupted by user") |
| sys.exit(1) |
| except Exception as e: |
| print(f"\\nError during evaluation: {e}") |
| sys.exit(1) |
|
|
|
|
| if __name__ == "__main__": |
| main() |
