resolve list access

yolov8.py

@@ -174,8 +174,6 @@ def dff_nmf(image, target_lyr, n_components):
                                    computation_on_concepts=None)
 
     concepts, batch_explanations, explanations = dff(input_tensor, model, n_components)
-    print("#################shapes###############")
-    print(concepts.shape, batch_explanations.shape, explanations.shape)
     results = []
     for indx in range(explanations[0].shape[0]):
         upsampled_input =  explanations[0][indx]