detect_blur_photos.py

detect_blur_photos.py

from imutils import paths
import argparse
import cv2
from multiprocessing import Pool, TimeoutError

def ResizeWithAspectRatio(image, width=None, height=None, inter=cv2.INTER_AREA):
    dim = None
    (h, w) = image.shape[:2]

    if width is None and height is None:
        return image
    if width is None:
        r = height / float(h)
        dim = (int(w * r), height)
    else:
        r = width / float(w)
        dim = (width, int(h * r))

    return cv2.resize(image, dim, interpolation=inter)

def variance_of_laplacian(image):
	# compute the Laplacian of the image and then return the focus
	# measure, which is simply the variance of the Laplacian
	return cv2.Laplacian(image, cv2.CV_64F).var()

folder = "c:\photos"


threshold = 100

blurry_photos = []

def is_blur(imagePath):
    image = cv2.imread(imagePath)
    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    fm = variance_of_laplacian(gray)
    
    if fm < threshold:
        print("Blurry " + str(fm) + imagePath)
        blurry_photos.append( imagePath )
    else:
        print("NOT blurry " + str(fm) + " skipping " + imagePath)
                 
if __name__ == '__main__':
    with Pool(processes=6) as pool:
        pool.map(is_blur, paths.list_images(folder))

for blurry in blurry_photos:
   print(blurry)