endlesssora/deceived

[NeurIPS 2021] Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data

deceived's Issues

Hello, I have two questions that I would like to ask you！

Firstly, can this code run independently to obtain data enhanced images? Secondly, I would like to know if this code can only recognize existing models and cannot be used on my own dataset, such as fruits. Hope everyone can help reply, thank you!

Increase resolution of images.

Hello,
First of all, congrats for your nice work. I have trained DeceiveD/APA with my set which are formed by 128 x 128 images. I am wondering whether I can generate higher resolution images (1024 x 1024) with your GAN based on low resolution ones. When preparing the data, I ran something like:

python dataset_tool.py --source=/path/to/image/folder --dest=/path/to/archive.zip --width=128 --height=128 --max-images=100

To train (stylegan2 for 1024 x 1024):

python train.py --outdir=./experiments --gpus=4 --data=/path/to/mydataset.zip --mirror=1 --cfg=stylegan2 --aug=apa --with-dataaug=true

Inference:

python generate.py --outdir=out --trunc=1 --seeds=1000-1199 --network=/path/to/checkpoint/pkl

But after the inference, the output were 128 x 128 images (as the original ones).

Thus, can we use it for creating higher resolution images?

Thank you.

What's the difference between images 1024x1024 and tfrecords on the FFHQ download page?

What's the difference between images 1024x1024 and tfrecords on the FFHQ download page?
The tfrecords have 273 GB, and the images 1024 x 1024 have 89.2 GB.
If I use Pytorch, can I directly download images 1024x1024 and use dataset_tool.py to create FFHQ 256x256?

enviorment

My setting is : ubuntu20.04 ; python 3.7.0; pytorch1.7.1+cu110; cuda11.1.
The code can run, but there is an issue:
[ERROR] Sorry, cuMemHostGetDevicePointer_v2() is not implemented in the current version. If user application keeps reporting errors, please use Ctrl+C to exit.
how should I solve this issue?

Can the code run on the cpu? Which parts need to be modified?

Can the code run on the cpu? Which parts need to be modified?

Add Anaconda environment.yml

Firstly: Awesome project!

You recommend using Anaconda in the install description.
Would it be possible to add an environment.yml with all needed dependencies to the repository to ease the installation process?

experimental setting

Thank you for a job well done！
How can I set the command if I want to use ADA and APA training at the same time？

A question about experimental setting.

Thank you for your excellent work. I have a question. When running APA with ADA on FFHQ-1k, do you set mirror=1 by default?