PyTorch codes for "Progressive Semantic-Aware Style Transformation for Blind Face Restoration"
Pytorch codes for "Learning Spatial Attention for Face Super-Resolution", TIP 2020.
Semi-Supervised Learning for Face Sketch Synthesis in the Wild, ACCV2018
Face Sketch Synthesis with Style Transfer using Pyramid Column Feature
vim and tmux configuration
chaofengc/BradleyTerryModel-Pytorch 0
Simple bradley terry model in pytorch
Python I/O for optical flow files (.flo)
chaofengc/pytorch-CycleGAN-and-pix2pix 0
Image-to-Image Translation in PyTorch
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issue commentchaofengc/Face-SPARNet
If you set default
Gnormtoin, you should remove the--Gnormin the command.From the error message "Norm type 'in' not support.", I guess the single quotes might be the problem. You may try to remove the quote. If this does not solve the problem, you may try to
norm_typeto debug theNormLayerclass inblocks.pyand see what happened.BTW, the path separator may also cause error, because windowns use
\while Ubuntu use/.
use --Gnorm in [for windows users]
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issue commentchaofengc/PSFRGAN
there is a error when translate the psfrgan_latest_net_G.pth to onnx.
thanks , but i can not find the operator "mv", did you use the torch.mv in the code?
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issue commentchaofengc/Face-SPARNet
I have another question,is the Face-Sparnet repo also compatible with test_enhance_dir_align.py,test_enhance_dir_unalign.py in PSFRGAN repo,if I use these command lines and the py file together?
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issue commentchaofengc/Face-SPARNet
ok I finally got it working as you suggested. it is the quotes,I removed the --Gnorm and argument,launched the code and get it working like this :
(worked) python test.py --gpus 1 --model sparnethd --name SPARNetHD_V4_Attn2D --res_depth 10 --att_name spar --load_size 512 --dataset_name single --dataroot test_dirs/CelebA-TestN/ --pretrain_model_path ./pretrain_models/SPARNetHD_V4_Attn2D_net_H-epoch10.pth --save_as_dir results_CelebA-TestN/SPARNetHD_V4_Attn2D/
(worked) python test_enhance_single_unalign.py --gpus 1 --model sparnethd --name SPARNetHD_V4_Attn2D --res_depth 10 --att_name spar --pretrain_model_path .\pretrain_models\SPARNetHD_V4_Attn2D_net_H-epoch10.pth --test_img_path .\test_images\test_hzgg.jpg --results_dir test_hzgg_results
(didn't work) python test.py --gpus 1 --model sparnethd --name SPARNetHD_V4_Attn2D --res_depth 10 --att_name spar --Gnorm 'in' --load_size 512 --dataset_name single --dataroot test_dirs/CelebA-TestN/ --pretrain_model_path ./pretrain_models/SPARNetHD_V4_Attn2D_net_H-epoch10.pth --save_as_dir results_CelebA-TestN/SPARNetHD_V4_Attn2D/
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