#!/usr/bin/python
from imutils import paths
import argparse
import os
import cv2

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= 500.0, help="focus measures that fall below this value will be considered 'blurry'")
args = vars(ap.parse_args())
text = 'Image not found'
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)
    text = "Not Blurry"
    
    # if the focus measure is less than the supplied threshold,
    # then the image should be considered "blurry"
    if fm > args["threshold"]:
        text = "Blurry"

print(fm)
# print(text)

#     for filename in os.listdir("images"):
#         i = 0
#         name = ""
#         if text == "Blurry":
#             name = "Blurred"
#             dst = "Nach_" + name + str(i) + ".jpeg"
#             src ='./images/'+ filename
#             dst ='./images/'+ dst
#             os.rename(src,dst)
#             i += 1


    # show the image
#    cv2.putText(image, "{}: {:.2f}".format(text, fm), (10, 30),
#                cv2.FONT_HERSHEY_SIMPLEX, 0.8, (0, 0, 255), 3)
#cv2.imshow("Image", image)
#key = cv2.waitKey(0)