This is the codes from my graduation thesis(SUN Yat-Sen University), also parts of the codes of the paper I submitted to the ICML 2019.

Submitted papers:

Graduation Paper: http://zhanfuyang.com/Asymetric-Cycle-Gan.pdf

PPT: http://zhanfuyang.com/thesis-ppt.pdf

bash train.sh

bash test.sh

In option.py

--batch_size The batch size

--save_epoch_freq How many epoch to save the parameters of the model

--which_model_netG Use which model for the Generation, Default is resnet_6blocks

--dataroot The directory of the datasets

--name The name of the model

--model Use which model to train the datasets, default is the cycle_gan

--no_dropout

--batchSize Batch Sizes

--display_id Which DEVICE of the GPU to use