Thanks, that helps a lot. Your version is a little out of date, but not as bad as I feared. While I would recommend updating to the latest snapshot, to gain some very useful new features for interpretation of results, you can reasonably run with that version.
Assuming your screenshot came from the folder where you ran into issues, I suspect you just missed a step. You created a GMM folder (gmm_00), but you didn’t create a “Run” within that folder.
The general sequence is (and I realize this isn’t intuitive, there is a somewhat dated youtube video demonstrating for this reason):
“New GMM” - select refinement folder
“Create Run” - give descriptive name, “Runs” share the same data within a gmm_XX folder, but have completely independent neural networks
“Resolution” - creates initial pattern of Gaussians, adjust two text boxes adjacent to the button to get the desired number and distribution of Gaussians
Adjust any parameters you need to now! You cannot change things like Pos/Amp or number of latent dim for this run after this step without starting from scratch!
“Train Neutral” - this initializes the neural network to the “neutral” locations of the gaussians you just created (just takes a couple of minutes usually)
“Train GMM” - this will take the bulk of the time. The number if iterations required to achieve good results varies widely with the project. 20-30 is a minimal number, for big projects 100 may be needed.
You can run a small number of iterations, then press “Train GMM” again to continue, but the only parameters you can change when doing that are “Train Iter”, “Model Reg”, and “Model Perturb”. That is, if you run 25 iterations, and find that the results haven’t converged to a good answer yet, you can change train iter to 50 and hit “Train GMM” again and it will continue from after the 25.