one-class image classification implementation for julia
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this code is divided in two modules that can be used independently and one that orchestrates all the work:
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it loads a dataset in the form of
folder (dataset)
subfolder (class 0)
subfolder (class 1)
- it stores the architectures of the models available
- it enables the training and inference of models
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once you downloaded julia and have it opened on a terminal:
- access to pkg typing "]", it will appear something like this:
(oculus.jl) pkg>
- then you can activate the project with all the dependencies using
activate .
et voilà