edits

app.py

@@ -56,7 +56,7 @@ class ImgDataset(data.Dataset):
     def __len__(self):
         return len(self.images)
 
-    
+# ---------------------------------------    
 
 
 
@@ -80,8 +80,8 @@ def generate_matching_superfeatures(im1, im2, scale_id=6, threshold=50, sf_ids='
     loader = torch.utils.data.DataLoader(dataset_, shuffle=False, pin_memory=True)
 
 
-    # im1_tensor = transform(im1).unsqueeze(0)
-    # im2_tensor = transform(im2).unsqueeze(0)
+    im1_tensor = transform(im1).unsqueeze(0)
+    im2_tensor = transform(im2).unsqueeze(0)
 
     im1_cv = np.array(im1)[:, :, ::-1].copy() 
     im2_cv = np.array(im2)[:, :, ::-1].copy()