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

[vivi90]

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.

[nikkorejz]

+1

[vivi90]

I will create an PR for b).

[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.

[vivi90]

@Arthur151 Ah, i see. How about an simple overview, what package are for what in detail in the README? Maybe also an roadmap about these different packages?

'.. other packages for additional functions, including ..., visualization, ..., etc.'

It seems that the simple-romp package includes also the romp_visualizer, that should be an seperate package. Sorry, for beeing so fussy :)

The point is, that there are also a lot of not so well-skilled interested users. If an new user see, there is an romp software and an simple-romp package, then they might be a little bit confused. Because if they read only the README, it seems that there are no real differences.

.. with other packages for additional functions, including exporting, .., etc.

How about the VMC protocol? https://protocol.vmc.info Created FR: https://github.com/Arthur151/ROMP/issues/193

[Arthur151]

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