avatarify-python
avatarify-python copied to clipboard
Published
20 hours ago •
alievk
alievk
RTX 4080 supported???
Describe the bug Finally i got it to start. But then when i align my face and press x, the programm crashes and i get an error.
Info:
-
OS: Windows
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GPU model: NVIDIA GeForce RTX 4080
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Any other relevant information: Dont know if Pytorch, Cuda 11.7 & the 4080 are compatible...
conda info
active env location : C:\Users\Fynn\miniconda3\envs\avatarify
shell level : 2
user config file : C:\Users\Fynn\.condarc
populated config files :
conda version : 22.11.1
conda-build version : 3.23.3
python version : 3.7.13.final.0
virtual packages : __archspec=1=x86_64
__cuda=12.0=0
__win=0=0
base environment : C:\Users\Fynn\miniconda3 (writable)
conda av data dir : C:\Users\Fynn\miniconda3\etc\conda
conda av metadata url : None
channel URLs : https://repo.anaconda.com/pkgs/main/win-64
https://repo.anaconda.com/pkgs/main/noarch
https://repo.anaconda.com/pkgs/r/win-64
https://repo.anaconda.com/pkgs/r/noarch
https://repo.anaconda.com/pkgs/msys2/win-64
https://repo.anaconda.com/pkgs/msys2/noarch
package cache : C:\Users\Fynn\miniconda3\pkgs
C:\Users\Fynn\.conda\pkgs
C:\Users\Fynn\AppData\Local\conda\conda\pkgs
envs directories : C:\Users\Fynn\miniconda3\envs
C:\Users\Fynn\.conda\envs
C:\Users\Fynn\AppData\Local\conda\conda\envs
platform : win-64
user-agent : conda/22.11.1 requests/2.28.1 CPython/3.7.13 Windows/10 Windows/10.0.19041
administrator : False
netrc file : None
offline mode : False
conda list
# packages in environment at C:\Users\Fynn\miniconda3\envs\avatarify:
#
# Name Version Build Channel
blas 1.0 mkl
blosc 1.21.3 hdccc3a2_0 conda-forge
bzip2 1.0.8 h8ffe710_4 conda-forge
c-blosc2 2.6.1 h183a6f4_0 conda-forge
ca-certificates 2022.4.26 haa95532_0 anaconda
certifi 2022.12.7 pypi_0 pypi
cfitsio 4.0.0 hd67004f_0 conda-forge
charls 2.3.4 h39d44d4_0 conda-forge
charset-normalizer 2.1.1 pypi_0 pypi
cloudpickle 2.2.0 pyhd8ed1ab_0 conda-forge
colorama 0.4.6 pypi_0 pypi
cudatoolkit 11.0.221 h74a9793_0
cytoolz 0.12.0 py37hcc03f2d_0 conda-forge
dask-core 2022.2.0 pyhd8ed1ab_0 conda-forge
decorator 5.1.1 pyhd8ed1ab_0 conda-forge
face-alignment 1.3.5 pypi_0 pypi
flit-core 3.6.0 pyhd3eb1b0_0
freetype 2.12.1 h546665d_1 conda-forge
fsspec 2022.11.0 pyhd8ed1ab_0 conda-forge
giflib 5.2.1 h8d14728_2 conda-forge
git 2.34.1 haa95532_0 anaconda
idna 3.4 pypi_0 pypi
imagecodecs 2021.11.20 py37hfea8715_2 conda-forge
imageio 2.22.4 pyhfa7a67d_1 conda-forge
importlib-metadata 5.1.0 pypi_0 pypi
intel-openmp 2022.2.1 h57928b3_19741 conda-forge
jpeg 9e h8ffe710_2 conda-forge
jxrlib 1.1 h8ffe710_2 conda-forge
krb5 1.20.1 heb0366b_0 conda-forge
lcms2 2.14 h90d422f_0 conda-forge
lerc 3.0 h0e60522_0 conda-forge
libaec 1.0.6 h39d44d4_0 conda-forge
libblas 3.9.0 16_win64_mkl conda-forge
libbrotlicommon 1.0.9 hcfcfb64_8 conda-forge
libbrotlidec 1.0.9 hcfcfb64_8 conda-forge
libbrotlienc 1.0.9 hcfcfb64_8 conda-forge
libcblas 3.9.0 16_win64_mkl conda-forge
libcurl 7.86.0 h68f0423_2 conda-forge
libdeflate 1.10 h8ffe710_0 conda-forge
libhwloc 2.8.0 h039e092_1 conda-forge
libiconv 1.17 h8ffe710_0 conda-forge
liblapack 3.9.0 16_win64_mkl conda-forge
libpng 1.6.39 h19919ed_0 conda-forge
libsqlite 3.40.0 hcfcfb64_0 conda-forge
libssh2 1.10.0 h9a1e1f7_3 conda-forge
libtiff 4.4.0 hc4061b1_0 conda-forge
libuv 1.40.0 he774522_0
libwebp-base 1.2.4 h8ffe710_0 conda-forge
libxcb 1.13 hcd874cb_1004 conda-forge
libxml2 2.10.3 hc3477c8_0 conda-forge
libzlib 1.2.13 hcfcfb64_4 conda-forge
libzopfli 1.0.3 h0e60522_0 conda-forge
llvmlite 0.39.1 pypi_0 pypi
locket 1.0.0 pyhd8ed1ab_0 conda-forge
lz4-c 1.9.3 h8ffe710_1 conda-forge
m2w64-gcc-libgfortran 5.3.0 6 conda-forge
m2w64-gcc-libs 5.3.0 7 conda-forge
m2w64-gcc-libs-core 5.3.0 7 conda-forge
m2w64-gmp 6.1.0 2 conda-forge
m2w64-libwinpthread-git 5.0.0.4634.697f757 2 conda-forge
mkl 2022.1.0 h6a75c08_874 conda-forge
msys2-conda-epoch 20160418 1 conda-forge
networkx 2.5 py_0 conda-forge
ninja 1.10.2 haa95532_5
ninja-base 1.10.2 h6d14046_5
numba 0.56.4 pypi_0 pypi
numpy 1.19.0 py37hae9e721_0 conda-forge
opencv-python 4.6.0.66 pypi_0 pypi
openjpeg 2.5.0 hc9384bd_1 conda-forge
openssl 3.0.7 hcfcfb64_1 conda-forge
packaging 22.0 pyhd8ed1ab_0 conda-forge
partd 1.3.0 pyhd8ed1ab_0 conda-forge
pillow 9.2.0 py37h42a8222_2 conda-forge
pip 22.3.1 pyhd8ed1ab_0 conda-forge
pthread-stubs 0.4 hcd874cb_1001 conda-forge
pthreads-win32 2.9.1 hfa6e2cd_3 conda-forge
python 3.7.12 h900ac77_100_cpython conda-forge
python-blosc 1.7.0 py37h6538335_1001 conda-forge
python_abi 3.7 3_cp37m conda-forge
pytorch 1.7.1 py3.7_cuda110_cudnn8_0 pytorch
pywavelets 1.3.0 py37hec80d1f_0 conda-forge
pyyaml 6.0 py37hcc03f2d_4 conda-forge
requests 2.28.1 pypi_0 pypi
scikit-image 0.19.2 py37h9386db6_0 conda-forge
scipy 1.7.3 py37hb6553fb_0 conda-forge
setuptools 65.5.1 pyhd8ed1ab_0 conda-forge
six 1.16.0 pyhd3eb1b0_1
snappy 1.1.9 hfb803bf_2 conda-forge
sqlite 3.40.0 hcfcfb64_0 conda-forge
tbb 2021.7.0 h91493d7_1 conda-forge
tifffile 2021.11.2 pyhd8ed1ab_0 conda-forge
tk 8.6.12 h8ffe710_0 conda-forge
toolz 0.12.0 pyhd8ed1ab_0 conda-forge
torchvision 0.2.2 py_3 pytorch
tqdm 4.64.1 pypi_0 pypi
typing_extensions 4.4.0 py37haa95532_0
ucrt 10.0.22621.0 h57928b3_0 conda-forge
urllib3 1.26.13 pypi_0 pypi
vc 14.3 h3d8a991_9 conda-forge
vs2015_runtime 14.32.31332 h1d6e394_9 conda-forge
wheel 0.38.4 pyhd8ed1ab_0 conda-forge
xorg-libxau 1.0.9 hcd874cb_0 conda-forge
xorg-libxdmcp 1.1.3 hcd874cb_0 conda-forge
xz 5.2.6 h8d14728_0 conda-forge
yaml 0.2.5 h8ffe710_2 conda-forge
zfp 0.5.5 h0e60522_8 conda-forge
zipp 3.11.0 pypi_0 pypi
zlib-ng 2.0.6 h8ffe710_0 conda-forge
zstd 1.5.2 h7755175_4 conda-forge
Environment info set | findstr /I "CUDA CONDA Python" | findstr /V "Path"
CONDA_DEFAULT_ENV=avatarify
CONDA_EXE=C:\Users\Fynn\miniconda3\condabin\..\Scripts\conda.exe
CONDA_EXES="C:\Users\Fynn\miniconda3\condabin\..\Scripts\conda.exe"
CONDA_PREFIX=C:\Users\Fynn\miniconda3\envs\avatarify
CONDA_PREFIX_1=C:\Users\Fynn\miniconda3
CONDA_PROMPT_MODIFIER=(avatarify)
CONDA_PYTHON_EXE=C:\Users\Fynn\miniconda3\python.exe
CONDA_SHLVL=2
CUDA_PATH=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7
CUDA_PATH_V11_7=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7```
echo %PATH:;=&echo.%
C:\Users\Fynn\miniconda3\envs\avatarify
C:\Users\Fynn\miniconda3\envs\avatarify\Library\mingw-w64\bin
C:\Users\Fynn\miniconda3\envs\avatarify\Library\usr\bin
C:\Users\Fynn\miniconda3\envs\avatarify\Library\bin
C:\Users\Fynn\miniconda3\envs\avatarify\Scripts
C:\Users\Fynn\miniconda3\envs\avatarify\bin
C:\Users\Fynn\miniconda3\condabin
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7\bin
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7\libnvvp
.
C:\ProgramData\Oracle\Java\javapath
C:\Program Files\Common Files\Oracle\Java\javapath
C:\Program Files (x86)\Common Files\Intel\Shared Libraries\redist\intel64\compiler
C:\Windows\system32
C:\Windows
C:\Windows\System32\Wbem
C:\Windows\System32\WindowsPowerShell\v1.0
C:\Windows\System32\OpenSSH
C:\Users\Fynn\AppData\Local\Microsoft\WindowsApps
C:\adb
C:\WINDOWS\system32
C:\WINDOWS
C:\WINDOWS\System32\Wbem
C:\WINDOWS\System32\WindowsPowerShell\v1.0
C:\WINDOWS\System32\OpenSSH
C:\Program Files (x86)\Windows Kits\8.1\Windows Performance Toolkit
C:\Program Files\dotnet
C:\Program Files (x86)\dotnet
C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common
C:\Program Files\NVIDIA Corporation\NVIDIA NvDLISR
C:\Program Files\Git\cmd
C:\Program Files\NVIDIA Corporation\Nsight Compute 2022.2.0
C:\Users\Fynn\AppData\Local\Programs\Python\Python311\Scripts
C:\Users\Fynn\AppData\Local\Programs\Python\Python311
C:\Program Files\platform-tools
C:\Users\Fynn\AppData\Local\Microsoft\WindowsApps
C:\Users\Fynn\.dotnet\tools
C:\Users\Fynn\AppData\Local\Microsoft\WindowsApps
C:\Users\Fynn\.dotnet\tools
Log
Traceback (most recent call last):
File "afy/cam_fomm.py", line 316, in <module>
out = predictor.predict(frame)
File "C:\Users\Fynn\avatarify\afy\predictor_local.py", line 104, in predict
use_relative_jacobian=self.relative, adapt_movement_scale=self.adapt_movement_scale)
File "C:\Users\Fynn\avatarify\afy\predictor_local.py", line 28, in normalize_kp
jacobian_diff = torch.matmul(kp_driving['jacobian'], torch.inverse(kp_driving_initial['jacobian']))
RuntimeError: CUDA error: operation not supported when calling `cusparseCreate(handle)
