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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.

<p> <img src='test_output/demo_ori.gif' width=300 /> <img src='test_output/demo.gif' width=300 /> </p>

Getting started

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.

sh pretrained_model/download_pth.sh
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.

sh pretrained_model/download_t7.sh
th test.lua -input_dir YourImgDir -style Hosoda -gpu 0

Examples (Left: input, Right: output)

<p> <img src='test_img/in2.png' width=300 /> <img src='test_output/in2_Hayao.png' width=300 /> </p> <p> <img src='test_img/in3.png' width=300 /> <img src='test_output/in3_Hayao.png' width=300 /> </p> <p> <img src='test_img/5--26.jpg' width=300 /> <img src='test_output/5--26_Hosoda.jpg' width=300 /> </p> <p> <img src='test_img/7--136.jpg' width=300 /> <img src='test_output/7--136_Hayao.jpg' width=300 /> </p> <p> <img src='test_img/15--324.jpg' width=300 /> <img src='test_output/15--324_Hosoda.jpg' width=300 /> </p>

Note

Acknowledgement