I am working on a modified implementation of a project and it has a few MATLAB files: https://github.com/marycore/SemanticRobot/blob/master/Matlab-code/
My lab doesn't use MATLAB so I tried running this in Octave, but it keeps throwing errors because the files use functions from Matlab's Deep Learning Toolbox. For example, for this https://github.com/ShreyaPandita01/SemanticRobot/blob/master/Matlab-code/createUnet.m file I get error due to https://in.mathworks.com/help/deeplearning/ref/nnet.cnn.layer.imageinputlayer.html
Octave evaluation error:
error: 'imageInputLayer' undefined near line 18 column 10
Ultimately I have to make a Python-based project(as I have never worked on MATLAB/Octave) and was planning on using the Oct2py library if the code ran in Octave.
Are there any other options for making this work other than re-coding the files by going through them line to line?