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In my work, all images used in training are normalized images. In reality, you can add a preprocessing step that can use dlib to normalize the face image to be the same as the input image of the model
Hello.
As I see model learned on aligned faces.
All faces in center of image and most of it is normalized (see in one direction).
But what we need to do with any photo with face?
Do we need find, rotate, crop area of face before predict?
Or this library do it by themself?
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