I read in the documentation that if data augmentation is set up in the spec file, then the image is converted between 0 and 1.
But in my spec file I have set image_scaling_factor: 1.0
In one hand, he scale factor is 1, so image must be in [0, 255].
On the other hand, I activate the dta augmentation, so image must be in [0, 1].
Therefore during inference, should I give an image in [0, 255] or in [0, 1] with this setup ?
Since our input images are scaled between 0 and 1.0, you can set this value to 0.5
Thank you for your help