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@holger
Does it makes sense to combine these two step into one(model) or should it be seperated?
Object detection network produces not images but coordinates of bounding boxes but the second network receives exactly images of faces.
Can the second model work for all types of object or does it have to be specific to the object you want to classify(i guess so)?
You may try it but I don't think so because it's hard even comparing images of the same face but from different sides.
