Closed liushanyuan18 closed 4 years ago
I think your evaluation is flawed. I had that issue. Make sure your images are in RGB format and not BGR if you use opencv
I think your evaluation is flawed. I had that issue. Make sure your images are in RGB format and not BGR if you use opencv
Thank you so much!You are right. By the way,I have a question in CA(Conditioning Augmentation).We convert embedding ϕt to ĉ0,and use the KL loss between ĉ0 and N~(0,1) to make ĉ0 close to N~(0,1).Why the KL loss is necessary?If ĉ0 is far away from N~(0,1),I think this is OK and has no bad,but when I abandon KL loss,the IS and FID is not good as early.Do you know why?Thanks!
@liushanyuan18 @mkumar10 How about your scores? In my experiment, the IS of the pre-trained model on coco dataset is 23.51, it seems far from the 25.89.
@liushanyuan18 @mkumar10 How about your scores? In my experiment, the IS of the pre-trained model on coco dataset is 23.51, it seems far from the 25.89.
We get 23.74 on coco dataset.It is similar to your score.
Hi,in my experiment,the inception score of the pretrained model on coco dataset is 16.16.Do you know why the IS is not stable?How can make the IS to 25.89?