Lip2Wav: Pre-processing and training not working on custom dataset?

Whenever I preprocess the custom dataset, this is the output:

`C:\Users\Graham\Desktop\Lip2Wav-master>python preprocess.py --speaker_root Dataset/larry --speaker larry C:\Users\Graham\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\dtypes.py:526: FutureWarning: Passing (type, 1) or ‘1type’ as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / ‘(1,)type’. _np_qint8 = np.dtype([(“qint8”, np.int8, 1)]) C:\Users\Graham\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\dtypes.py:527: FutureWarning: Passing (type, 1) or ‘1type’ as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / ‘(1,)type’. _np_quint8 = np.dtype([(“quint8”, np.uint8, 1)]) C:\Users\Graham\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\dtypes.py:528: FutureWarning: Passing (type, 1) or ‘1type’ as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / ‘(1,)type’. _np_qint16 = np.dtype([(“qint16”, np.int16, 1)]) C:\Users\Graham\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\dtypes.py:529: FutureWarning: Passing (type, 1) or ‘1type’ as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / ‘(1,)type’. _np_quint16 = np.dtype([(“quint16”, np.uint16, 1)]) C:\Users\Graham\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\dtypes.py:530: FutureWarning: Passing (type, 1) or ‘1type’ as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / ‘(1,)type’. _np_qint32 = np.dtype([(“qint32”, np.int32, 1)]) C:\Users\Graham\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\dtypes.py:535: FutureWarning: Passing (type, 1) or ‘1type’ as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / ‘(1,)type’. np_resource = np.dtype([(“resource”, np.ubyte, 1)]) Started processing for Dataset/larrywith 1 GPUs 0it [00:00, ?it/s]

C:\Users\Graham\Desktop\Lip2Wav-master>`

but there is no new output, and when I try and train, this outputs:

`C:\Users\Graham\Desktop\Lip2Wav-master>python train.py first_run --data_root Dataset/larry/ --preset synthesizer/presets/larry.json Arguments: name: first_run data_root: Dataset/larry/ preset: synthesizer/presets/larry.json models_dir: synthesizer/saved_models/ mode: synthesis GTA: True restore: True summary_interval: 2500 embedding_interval: 1000000000 checkpoint_interval: 1000 eval_interval: 1000 tacotron_train_steps: 2000000 tf_log_level: 1

Traceback (most recent call last): File “train.py”, line 61, in <module> log_dir, hparams = prepare_run(args) File “train.py”, line 21, in prepare_run hparams.add_hparam(‘all_images’, all_images) File “C:\Users\Graham\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\contrib\training\python\training\hparam.py”, line 485, in add_hparam ‘Multi-valued hyperparameters cannot be empty: %s’ % name) ValueError: Multi-valued hyperparameters cannot be empty: all_images

C:\Users\Graham\Desktop\Lip2Wav-master>`

How do you properly use a custom dataset with this project? Thank you.