Different outputs for same input image
jamesheatonrdm opened this issue · comments
Feeding in the same image multiple times produces different orientation estimations each time. Does anyone know why this would be the case?
Well obviously if the model is not in eval() mode the dropout still occurs!
i think it model is not stable maybe so every time the predict orientation will be different