[FAQ] What are the differences between 'romp' and 'simple-romp'?
See original GitHub issuea) 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.
Issue Analytics
- State:
- Created a year ago
- Reactions:1
- Comments:5 (4 by maintainers)
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Yes, these comments are very constructive! I will try to write the overview after finish simple-romp v0.1.0.
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.