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This repository has been archived by the owner on Oct 31, 2023. It is now read-only.
Hi,
Training details are in our paper's supplementary file. Specifically, we adopted pix2pixHD's model architecture and training recipe to train our model, so our training code is the same as their train.py. The arguments we passed in to the script are: python ./train.py \ --dataroot ./datasets/humanparsing \ --name humanparsing \ --label_feat \ --checkpoints_dir <PATH_TO_SAVE_MODEL> \ --label_dir <PATH_TO_SEGMENTATION_MAPS> \ --img_dir <PATH_TO_IMG> \ --resize_or_crop pad_and_resize \ --loadSize 256 \ --fineSize 256 \ --save_epoch_freq 100 \ --label_nc 18 \ --output_nc 8 \ --color_mode Lab \ --no_style_loss \ --no_recon_loss \ --gpu_ids 0,1,2,3,4,5,6,7 \ --batchSize 8
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Hi, this is a great repo. By any chance, would it possible to also release the training code?
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