similarity code is updated05

app/Hackathon_setup/face_recognition.py

@@ -98,12 +98,13 @@ def get_similarity(img1, img2):
     #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()
-    print('output1:::',output1)
-    print('output1[0]:::',output1[0])
-    cos_similarity1 = torch.nn.functional.cosine_similarity(output1, output2)
-    print('cos_similarity1',cos_similarity1)
-    cos_similarity = cos_similarity1.item()
-    return cos_similarity
+    # print('output1:::',output1)
+    # print('output1[0]:::',output1[0])
+    # cos_similarity1 = torch.nn.functional.cosine_similarity(output1, output2)
+    # print('cos_similarity1',cos_similarity1)
+    # cos_similarity = cos_similarity1.item()
+    # return cos_similarity
+    return euc_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"