Per the extraction guide:
Size: This is the size of the image holding the extracted face. Generally 512px will be fine for most models. This is the size of the full head extracted image. When training a 'sub-crop' of this image will be used depending on the centering you have chosen. For 'face' centering, the image size available to the model will be 384px.
E.g. The Original model is noted as having input 64px, output 64px.
I understand this to be the portion of the extracted image fed to the model based on selected options for Face "Centering' and "Coverage."
[Newbie question] Does it make sense to extract to a size no more than the basic formula of:
Extraction Size = Model Input / Coverage (%)
Or, have I missed the relationship between the size of the extraction, the model input/output, and quality/efficiency of processing completely?