similarity code is updated02

app/Hackathon_setup/face_recognition.py

@@ -94,13 +94,13 @@ def get_similarity(img1, img2):
 
     output1,output2 = feature_net(Variable(face1),Variable(face2))
     euclidean_distance = F.pairwise_distance(output1, output2)
-    #features_1 = feature_net(face1)[1]
-    #features_2 = feature_net(face2)[1]
+    #pairwise - more distance means less similarity
+    #cosine similarity - more means more similarity btwn 2 arrays
+    # Use euclidean similarity to measure the similarity between given two images
+    euc_similarity = euclidean_distance.item()
+    cos_similarity = torch.nn.functional.cosine_similarity(face1, face2).item()
 
-     # Use euclidean similarity to measure the similarity between given two images
-    dissimilarity = euclidean_distance.item()
-
-    return dissimilarity
+    return cos_similarity
 
 
 # 1) Image captured from mobile is passed as parameter to this function in the API call, It returns the face class in the string form ex: "Person1"