clean-fid

import os from cleanfid import fid # Create dummy image folders for demonstration if not os.path.exists('path_to_real_images'): os.makedirs('path_to_real_images', exist_ok=True) # In a real scenario, populate this folder with real images # For this example, we'll just create a dummy file with open('path_to_real_images/dummy_real.txt', 'w') as f: pass if not os.path.exists('path_to_generated_images'): os.makedirs('path_to_generated_images', exist_ok=True) # In a real scenario, populate this folder with generated images # For this example, we'll just create a dummy file with open('path_to_generated_images/dummy_gen.txt', 'w') as f: pass # Compute FID between two image folders fdir1 = "path_to_real_images" fdir2 = "path_to_generated_images" # Note: For actual FID computation, these folders need to contain actual images. # The dummy files above will cause an error when clean-fid tries to load images. # This is a placeholder for a runnable example structure. # Example of computing FID (will likely fail with dummy folders but shows API) try: score = fid.compute_fid(fdir1, fdir2) print(f"Computed FID: {score}") except Exception as e: print(f"Error computing FID (expected with dummy data): {e}") # Example with pre-computed dataset statistics (requires actual dataset name like 'FFHQ') # score_with_stats = fid.compute_fid(fdir2, dataset_name="FFHQ", dataset_res=1024, dataset_split="trainval70k") # print(f"Computed FID with FFHQ stats: {score_with_stats}")