GeoDict-AI

[Ziho]

GeoDict-AI, the GeoDict module for identify grains and pores quantitatively. Technical questions and support questions regarding this module belong here.

[Ziho]

When building an Identify-Binder AI model in GeoDict-AI, a large number of structure models created in GrainGeo are used as a training dataset.

In the Other hand, is it possible to use an image model in which particles and binders have already been identified as a training dataset instead of this?

[Janine Hilden]

Dear Ziho,

Yes, this is possible. You only need to create the same folder structure as Create Training Data would generate.

   
• Create an empty folder with a meaningful name.
• Inside create the folder Train. If needed also a folder Test can be created for the Validate Performance feature.
• Inside the Train folder create as many folders as you have training data, named as desired for example in counting numbers starting with 0 as is done by the Create Training Data feature.
• Inside each of these subfolders place an input.gdt and an output.gdt file. The input.gdt must have only two IDs (ID00 Pore and ID01 Solid) and output.gdt three ( ID00 Pore, ID01 Grains and ID02 Binder)

I hope, my answer helped you.
Best regards, Janine