Normalization problem: img is in [0,255] but mean and std are in [0,1]

[lampsonSong]

There is a bug in the dataset/augmentation.py , Normalizer():

the img here is range from 0 to 255, but the mean and std used here are range from 0 to 1.

The code :

return {'img': ((image.astype(np.float32) - self.mean) / self.std), 'annot': annots}

should be changed to :

return {'img': ((image.astype(np.float32) / 255. - self.mean) / self.std), 'annot': annots}

[ggaziv]

I think the problem is only for COCO.

[lampsonSong]

I think the problem is only for COCO.

Yes, for coco.