blurryframeremover.py

# import the necessary packages
from imutils import paths
import argparse
import cv2
import shutil
import os
import time
import sys

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()

# construct the argument parse and parse the arguments
ap = argparse.ArgumentParser()
ap.add_argument("-i", "--images", required=True,
	help="path to input directory of images")
ap.add_argument("-t", "--threshold", type=float, default=10.0,
	help="focus measures that fall below this value will be considered 'blurry'")
args = vars(ap.parse_args())

# Create folder for blurry pics if it doesn't already exist
if not os.path.exists("./blurry"):
	os.makedirs("./blurry")

# loop over the input images
for imagePath in paths.list_images(args["images"]):
	# load the image, convert it to grayscale, and compute the
	# focus measure of the image using the Variance of Laplacian
	# method
	image = cv2.imread(imagePath)
	gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
	fm = variance_of_laplacian(gray)
	clarity = str(fm).split(".")[0]
	if fm < args["threshold"]:
		print("Blurry image detected. Clarity level: " + clarity)
	
	
	# if the focus measure is less than the supplied threshold,
	# then the image should be considered "blurry"
	if fm < args["threshold"]:
		shutil.move(imagePath, "./blurry")