kelisiya

> Hi @kelisiya, > Sorry for the late reply due to the CVPR deadline. > Do you mean the training loss? or calculating the evaluation errors? > The connectivity loss...

Some inference questions in Indexnet:The inference code use np.clip , but network return pred(l) isn't [0-1]; Your training loss fuction use cv.normalize and then /255 is right ?  When I...

So are you using the cv2.normalize in your training loss fuction ? In other words ， If I use sigmoid in return tensor ,it may also be effective？

So only train the return tensor ，don't use any activation functions.

Thanks for your answer.

other questions: 1.how to calculate alpha loss ？the input is alpha or alpha/255?2. The Indexnet input is image+trimap/255 like DIM?

Have any updates about this project ?