cvi-szu / stylegene Goto Github PK

What exact laws and regulations are preventing this for commercial use ? Also I wanted to understand the method for genePool.pkl attribute collection
Also what is the architecture of Image Based Gene Encoder as used in the training ?

Hi, thanks for your excellent work!

It seems that your images of FF-database is somewhat different with the original dataset accessed from CityU.
For example, I found that the original ones are cropped only on facial features (i.e., without ears, hair, and background), but yours have those components that the original ones do not have.

Therefore, I wonder that if you crawled the images via ChildPredictor and cropped with different size or you have other preprocessing pipelines.

I use cuda11.3,but it has a few errors.Can Anyone help me?

[0/2] /usr/bin/nvcc -DTORCH_EXTENSION_NAME=fused -DTORCH_API_INCLUD...ylegan2/op/fused_bias_act_kernel.cu -o fused_bias_act_kernel.cuda.o
[1/2] /usr/bin/nvcc -DTORCH_EXTENSION_NAME=fused -DTORCH_API_INCLUD...ylegan2/op/fused_bias_act_kernel.cu -o fused_bias_act_kernel.cuda.o
FAILED: fused_bias_act_kernel.cuda.o
/usr/bin/nvcc -DTORCH_EXTENSION_NAME=fused -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE="gcc" -DPYBIND11_STDLIB="libstdcpp" -DPYBIND11_BUILD_ABI="cxxabi1011" -isystem /home/aiyun/anaconda3/envs/gene/lib/python3.9/site-packages/torch/include -isystem /home/aiyun/anaconda3/envs/gene/lib/python3.9/site-packages/torch/include/torch/csrc/api/include -isystem /home/aiyun/anaconda3/envs/gene/lib/python3.9/site-packages/torch/include/TH -isystem /home/aiyun/anaconda3/envs/gene/lib/python3.9/site-packages/torch/include/THC -isystem /home/aiyun/anaconda3/envs/gene/include/python3.9 -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS -D__CUDA_NO_HALF_CONVERSIONS_ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_86,code=compute_86 -gencode=arch=compute_86,code=sm_86 --compiler-options '-fPIC' -std=c++14 -c /ssd/aiyun/skinship/StyleGene-main/models/stylegan2/op/fused_bias_act_kernel.cu -o fused_bias_act_kernel.cuda.o
/usr/include/c++/11/bits/std_function.h:435:145: error: parameter packs not expanded with ‘...’:
435 | function(_Functor&& __f)
| ^
/usr/include/c++/11/bits/std_function.h:435:145: note: ‘_ArgTypes’
/usr/include/c++/11/bits/std_function.h:530:146: error: parameter packs not expanded with ‘...’:
530 | operator=(_Functor&& __f)
| ^
/usr/include/c++/11/bits/std_function.h:530:146: note: ‘_ArgTypes’
ninja: build stopped: subcommand failed.

Thanks for your excellent work!
Could you release the training code? If so, it would be really helpful for my future research.