updated

app/Hackathon_setup/exp_recognition.py

@@ -66,9 +66,12 @@ def get_expression(img):
     model = torch.load(current_path + '/exp_recognition_net.t7', map_location=device)    
     face_det_net.load_state_dict(model['net_dict'])
     face = detected_face(img)
-    if face==0:
+
+    if face == 0:
         face = Image.fromarray(cv2.cvtColor(img, cv2.COLOR_BGR2GRAY))
-    
+    else:
+        face = torch.from_numpy(np.array(face)).to(device)  # Convert to a PyTorch tensor and move it to the correct device
+
     output = face_det_net(face)
     
     # YOUR CODE HERE, return expression using your model