convert to numpy

app/Hackathon_setup/face_recognition.py

@@ -94,7 +94,7 @@ def get_similarity(img1, img2):
     # YOUR CODE HERE, return similarity measure using your model
     output1,output2 = feature_net(face1.to(device),face2.to(device))
     euclidean_distance = F.pairwise_distance(output1, output2)
-    return euclidean_distance
+    return euclidean_distance.detach().numpy()
     
 #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"
 #2) The image is passed to the function in base64 encoding, Code to decode the image provided within the function