[FAQ] What are the differences between 'romp' and 'simple-romp'?

a) I was not able to found an notice about the detailed differences and benefits of ‘simple-romp’ against ‘romp’. Only the name implies, that simple-romp might be easier to use. In which situations should i use romp or simple-romp?

b) But how about dependecies like pytorch3d and all requirements? How to use it with conda env instead of plain pip?

Please add further information, if possible.

[Arthur151]

Yes, these comments are very constructive! I will try to write the overview after finish simple-romp v0.1.0.

[Arthur151]

Thanks! I am spliting all functions from previous code to several individual packages like simple-romp. So that previous code would only be used to train the model. We inference with the trained model using simple-romp, with other packages for additional functions, including exporting, visualization, animation, etc.