Author Dr T Hazlehurst, University of Leeds
This is partfind v2
To use: from partfind import PartFind
Useful Functions: .get_vectors(model_list)
model_list: a list of step file models i.e. ['step1.stp','step2.stp'] This returns a dict of step model names with the assocated vectors
.compare_pairs(model_list)
model_list of two models, return distance between to models and also returns model dict as with get_vectors
.find_in_dataset(input_vector,dataset_array,list_length=None)
Sorts model dict dataset into order of closest to furthest from input_vector
args.py Contains all the model parameters, it also contains "model_loc" which is the trained model that is used for functions described above.