Building from Ruotian Luo's code for captioning
> python scripts/prepare/prepro.py
Training requires some directories for saving the model's snapshots, the tensorboard events
> mkdir -p save events
To train a model under the parameters defined in config.yaml
> python train.py -c config.yaml
Check options/opts.py for more about the options.
To evaluate a model:
> python eval.py -c config
To submit jobs via OAR use either train.sh or select_train.sh