I’ve just trained a model to classify images and it’s working nicely. What I want to do now is use that model for brand new, unlabelled, images. Not in the train, test or val data sets but brand new images.
I can’t figure out how to do this - do I need to load them into an ImageDataBunch? Because that will then require splitting them up into test/train sets, which I don’t want to do. Ideally what I’d like to do is model.predict(filepath) and it just spits out its prediction for the image but that doesn’t seem possible?