Yuheng-Li
Yuheng-Li
Hi Ayush, First, what is the second image here? I don't think there are final results. Could you show all fake images? Also, You should set SUPER_CATEGORIES and FINE_GRAINED_CATEGORIES much...
You should not set super categories or fine-grained categories to be 1. The disentanglement will not learn.
You can use tensorboardX to visualize all losses. You can add a few lines of codes around L318 to store eg_loss
1, bounding boxes are used in the background stage such that the background discriminator can only see background region. 2, If you dataset does not come with box annotations, then...
Please follow the bounding box format in the CUB dataset http://www.vision.caltech.edu/visipedia/CUB-200-2011.html
Hi, We did not move the models, and could you try again?
Hi, The code is based upon FineGAN ( https://github.com/kkanshul/finegan ) , and this ratio is used there. I did not try the other resolutions, but I recommend use the same...
Hi, please download cub data using link provided by us, and see its format. Like the cub, for your own dataset, you need to prepare two files: images.txt and bounding_boxes.txt...
I have the same request. Thanks
We will release the code in a couple of days. Thanks.