channs_of_samples_per_path = [[] for i in range(cnn3d.getNumPathwaysThatRequireInput())]
lbls_predicted_part_of_samples = [] // Labels only for the central/predicted part of segments.
dims_hres_segment = cnn3d.get_inp_shape_of_path(0, train_val_or_test)
// Load images of subject
time_load_0 = time.time()
(channels, // nparray [channels,dim0,dim1,dim2]
After Change
channs_of_samples_per_path = [[] for i in range(cnn3d.getNumPathwaysThatRequireInput())]
lbls_predicted_part_of_samples = [] // Labels only for the central/predicted part of segments.
dims_hres_segment = inp_shapes_per_path[0]
// Load images of subject
time_load_0 = time.time()
(channels, // nparray [channels,dim0,dim1,dim2]
