Update image_similarity.py

image_similarity.py

@@ -43,10 +43,10 @@ class ImageSimilarity(object):
         # you will get larger clusters which have less similar images in it. Threshold 0 - 1.00
         # A threshold of 1.00 means the two images are exactly the same. Since we are finding near 
         # duplicate images, we can set it at 0.99 or any number 0 < X < 1.00.
-        threshold = 1.00
-        near_duplicates = [image for image in processed_images if image[0] <= threshold]
+        # threshold = 0.99
+        # near_duplicates = [image for image in processed_images if image[0] < threshold]
 
-        for score, image_id1, image_id2 in near_duplicates:
+        for score, image_id1, image_id2 in processed_images:
             results.append({
                 'score': score,
                 'image1': pil_images[image_id1]["key"],