similarity code is updated10

app/Hackathon_setup/face_recognition.py

@@ -92,9 +92,10 @@ def get_similarity(img1, img2):
     # YOUR CODE HERE, return similarity measure using your model
     feature_net.eval()
     print('face1.type', type(face1))
-    normalized_face1 = F.normalize(face1, dim=0)
-    normalized_face2 = F.normalize(face2, dim=0)
-    output1,output2 = feature_net(normalized_face1,normalized_face2)
+
+    output1,output2 = feature_net(face1,face2)
+    normalized_face1 = F.normalize(output1, dim=0)
+    normalized_face2 = F.normalize(output2, dim=0)
     euclidean_distance = F.pairwise_distance(output1, output2)
     #pairwise - more distance means less similarity
     #cosine similarity - more means more similarity btwn 2 arrays