Comments (3)
To use custom dataset, one needs to replace dataset_ffhq.py
file which returns batch of image within value range of [-1, 1] with size of [None, 3, res, res] where res
is your desired image size.
And I think handling tensorflow's data is out of the scope of this repository.
There are so many different input types to cover, so this link will help you how to load data as in tf.data.Dataset.
from stylegan2-tf-2.x.
Awesome, thanks.
from stylegan2-tf-2.x.
Hi, how would you integrate labels into this? Is there support for multiple labels?
from stylegan2-tf-2.x.
Related Issues (15)
- convert official weights HOT 3
- Cannot convert pkl file to ckpt when the size is 256 or 512. HOT 5
- Training details HOT 2
- checkpoint of FFHQ 256*256?
- Error
- when training in 256x256, the output is 256x512 pixels HOT 1
- Memory leak
- 10 errors detected in the compilation of upfirdn_2d.cu
- different resolution pkl file HOT 1
- Training on custom dataset failed HOT 9
- Training crash randomly HOT 2
- What are the "labels" in the generator and discriminator? HOT 2
- Need help understanding the role of the 'upfirdn' after the transpose_conv HOT 1
- NHWC Support HOT 2
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from stylegan2-tf-2.x.