Modify Blur Detection

Author: yashk2000

blurDetection.py

@@ -3,19 +3,18 @@
 import cv2
 
 ap = argparse.ArgumentParser()
-ap.add_argument("-i", "--images", required=True, help="path to input directory of images")
+ap.add_argument("-i", "--image", required=True, help="path to input directory of images")
 ap.add_argument("-t", "--threshold", type=float, default=100.0, help="focus measures that fall below this value will be considered 'blurry'")
 args = vars(ap.parse_args())
 
-for imagePath in paths.list_images(args["images"]):
-    image = cv2.imread(imagePath)
-    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
-    fm = cv2.Laplacian(image, cv2.CV_64F).var()
-    text = "Not Blurry"
+image = cv2.imread(args["image"])
+gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
+fm = cv2.Laplacian(image, cv2.CV_64F).var()
+text = "Not Blurry"
 
-    if fm < args["threshold"]: #keep tweeking the threshold as per your requirements
-        text = "Blurry"
+if fm < args["threshold"]: #keep tweeking the threshold as per your requirements
+    text = "Blurry"
 
-    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)
+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)