Add neuron to the ouput layer

[Alfajesto]

Hi erveryone, Is it possible to add a default neuron to the output layer? That if the analyzed structure does not correspond to any of the trained ones, I get an output like None

[Chengyuelan]

When I made the H5 data set, I encountered a problem. How could I solve it? I will be very grateful if I receive your reply. @Alfajesto /content/drive/Shareddrives/1000/pointnet/pointnet-master/data/stanford_indoor3d/pointcloudscene_0001.npy Traceback (most recent call last): File "gen_indoor3d_h5.py", line 77, in random_sample=False, sample_num=None) File "/content/drive/Shareddrives/1000/pointnet/pointnet-master/sem_seg/indoor3d_util.py", line 254, in room2blocks_wrapper_normalized random_sample, sample_num, sample_aug) File "/content/drive/Shareddrives/1000/pointnet/pointnet-master/sem_seg/indoor3d_util.py", line 230, in room2blocks_plus_normalized random_sample, sample_num, sample_aug) File "/content/drive/Shareddrives/1000/pointnet/pointnet-master/sem_seg/indoor3d_util.py", line 190, in room2blocks return np.concatenate(block_data_list, 0), \ File "<__array_function__ internals>", line 6, in concatenate ValueError: need at least one array to concatenate