I’m new to coding. The FastAI library is very impressive.
What is the most efficient way to do inference on the same image several times, with transformations applied to the same test image (in order to take the average predicted result)?
Or more simply, how can I do inference on an image after transformations have been applied?
This has been shown to be successful for improving prediction accuracy (see paragraph on inference here), and it seems to work better in my own tests using Keras, but my code is written in a clumsy way and I’d like to do this in FastAI:
when I do:
I get an error of:
‘function’ object has no attribute ‘apply_tfms’