CartoonGAN-Test-Pytorch-Torch

Pytorch and Torch testing code of CartoonGAN [Chen et al., CVPR18]. With the released pretrained models by the authors, I made these simple scripts for a quick test.

Getting started

  • Linux
  • NVIDIA GPU
  • Pytorch 0.3
  • Torch

git clone https://github.com/Yijunmaverick/CartoonGAN-Test-Pytorch-Torch
cd CartoonGAN-Test-Pytorch-Torch

Pytorch

The original pretrained models are Torch nngraph models, which cannot be loaded in Pytorch through load_lua. So I manually copy the weights (bias) layer by layer and convert them to .pth models.

  • Download the converted models:

sh pretrained_model/download_pth.sh
  • For testing:

python test.py --input_dir YourImgDir --style Hosoda --gpu 0

Torch

Working with the original models in Torch is also fine. I just convert the weights (bias) in their models from CudaTensor to FloatTensor so that cudnn is not required for loading models.

  • Download the converted models:

sh pretrained_model/download_t7.sh
  • For testing:

th test.lua -input_dir YourImgDir -style Hosoda -gpu 0

Examples (Left: input, Right: output)

Note

  • The training code should be similar to the popular GAN-based image-translation frameworks and thus is not included here.

Acknowledgement

  • Many thanks to the authors for this cool work.

  • Part of the codes are borrowed from DCGAN, TextureNet, and CycleGAN.

GitHub

View Github