Detect and Remove Blurry Images in Python with OpenCV

from pathlib import Path
import cv2
import numpy as np

def is_blurry(image_path, threshold=100.0):
    """
    Detect if an image is blurry using Laplacian variance.
    Returns True if blurry, False otherwise.
    """
    img = cv2.imread(str(image_path), cv2.IMREAD_GRAYSCALE)
    if img is None:
        return True  # Treat unreadable images as blurry
    laplacian = cv2.Laplacian(img, cv2.CV_64F)
    variance = laplacian.var()
    return variance < threshold

def remove_blurry_images(directory, threshold=100.0, dry_run=False):
    """
    Scan a directory for images and remove blurry ones.
    If dry_run=True, only print what would be deleted.
    """
    directory = Path(directory)
    image_extensions = {'.jpg', '.jpeg', '.png', '.bmp', '.tiff'}
    blurry_count = 0
    total_count = 0
    
    for img_path in directory.rglob('*'):
        if img_path.suffix.lower() in image_extensions:
            total_count += 1
            if is_blurry(img_path, threshold):
                blurry_count += 1
                if dry_run:
                    print(f"[DRY RUN] Would delete blurry: {img_path}")
                else:
                    print(f"Deleting blurry: {img_path}")
                    img_path.unlink()
    
    print(f"Processed {total_count} images, removed {blurry_count} blurry ones.")

if __name__ == "__main__":
    # Example usage
    remove_blurry_images("./photo_collection", threshold=100.0, dry_run=True)