temp

app.py

@@ -42,12 +42,12 @@ def generate_matching_superfeatures(im1, im2, scale_id=6, threshold=50):
 
     # extract features
     with torch.no_grad():
-        output1 = net.get_superfeatures(im1.to(device), scales=scales)
+        output1 = net.get_superfeatures(im1_tensor.to(device), scales=scales)
         feats1 = output1[0]
         attns1 = output1[1]
         strenghts1 = output1[2]
 
-        output2 = net.get_superfeatures(im2.to(device), scales=scales)
+        output2 = net.get_superfeatures(im2_tensor.to(device), scales=scales)
         feats2 = output2[0]
         attns2 = output2[1]
         strenghts2 = output2[2]