I am trying to follow this page and write a model in PyTorch. However, I am not sure about how to divide the NVGaze dataset for training/validation/testing. Could you give some insight into how you did it for both real and synthetic datasets?
Do you already have the divided txt/csv that I can use?
How long does it usually take to train on acomo dataset and NVGaze dataset?
I am new to the field and using PyTorch, is there anything I should keep in mind while porting this to PyTorch?
For AcomoEye train/test split text files are included and a direct comparison can be made. For NVGaze you must create your own split (I want to avoid publishing Nvidia files here). You can follow the way how I did the train/test split.
Few hours to one day.
I think it should be quite straightforward (and good idea) to implement it in PyTorch
I am trying to follow this page and write a model in PyTorch. However, I am not sure about how to divide the NVGaze dataset for training/validation/testing. Could you give some insight into how you did it for both real and synthetic datasets?