Update kernel_utils.py

kernel_utils.py

@@ -325,8 +325,6 @@ def predict_on_video(face_extractor, video_path, batch_size, input_size, models,
                 x = torch.tensor(x, device="cpu").float()
                 # Preprocess the images.
                 x = x.permute((0, 3, 1, 2))
-                print(x.shape)
-                print(type(x))
                 for i in range(len(x)):
                     x[i] = normalize_transform(x[i] / 255.)
                 # Make a prediction, then take the average.
@@ -341,8 +339,6 @@ def predict_on_video(face_extractor, video_path, batch_size, input_size, models,
                         preds.append(strategy(bpred))
                     return np.mean(preds)
     except Exception as e:
-        print(x.shape)
-        print(type(x))
         print("Prediction error on video %s: %s" % (video_path, str(e)))
 
     return 0.5