GLIBCXX_3.4.26 not found
Posted: Fri Mar 03, 2023 11:17 am
Hi,
i extracted some faces (on a different machine) and now i am trying to start training a model in a conda environment (using python 3.8) on a hpc cluster where i can use an nvidia graphics card. I set up the conda environment like described in the the manual installation tutorial from the git. However, i get the following error message (for some reason, i had to exchange the .py and .so endings with _py and _so, as i "can’t post image, email or url links that are external to this domain" ):
Code: Select all
Setting Faceswap backend to NVIDIA
03/03/2023 10:56:12 INFO Log level set to: INFO
03/03/2023 10:56:22 ERROR Got Exception on main handler:
Traceback (most recent call last):
File "/home/hpc/b116ba/b116ba19/faceswap/lib/cli/launcher_py", line 228, in execute_script
script = self._import_script()
File "/home/hpc/b116ba/b116ba19/faceswap/lib/cli/launcher_py", line 51, in _import_script
module = import_module(mod)
File "/home/hpc/b116ba/b116ba19/.conda/envs/faceswapnv/lib/python3.8/importlib/__init___py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1014, in _gcd_import
File "<frozen importlib._bootstrap>", line 991, in _find_and_load
File "<frozen importlib._bootstrap>", line 975, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 671, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 843, in exec_module
File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
File "/home/hpc/b116ba/b116ba19/faceswap/scripts/train_py", line 12, in <module>
import cv2
ImportError: /lib64/libstdc++.so.6: version `GLIBCXX_3.4.26' not found (required by /home/hpc/b116ba/b116ba19/.conda/envs/faceswapnv/lib/python3.8/site-packages/cv2.cpython-38-x86_64-linux-gnu_so)
03/03/2023 10:56:22 CRITICAL An unexpected crash has occurred. Crash report written to '/home/hpc/b116ba/b116ba19/faceswap/crash_report.2023.03.03.105619374928.log'. You MUST provide this file if seeking assistance. Please verify you are running the latest version of faceswap before reporting
And here is the crash report:
Code: Select all
03/03/2023 10:56:12 MainProcess MainThread logger log_setup INFO Log level set to: INFO
03/03/2023 10:56:12 MainProcess MainThread _base _log DEBUG Initializing NvidiaStats
03/03/2023 10:56:12 MainProcess MainThread _base _log DEBUG Initializing PyNVML for Nvidia GPU.
03/03/2023 10:56:12 MainProcess MainThread _base _log DEBUG GPU Device count: 1
03/03/2023 10:56:12 MainProcess MainThread _base _log DEBUG Active GPU Devices: [0]
03/03/2023 10:56:12 MainProcess MainThread _base _log DEBUG Active GPU Devices: [0]
03/03/2023 10:56:12 MainProcess MainThread _base _log DEBUG GPU Handles found: 1
03/03/2023 10:56:12 MainProcess MainThread _base _log DEBUG GPU Driver: 525.60.13
03/03/2023 10:56:12 MainProcess MainThread _base _log DEBUG GPU Devices: ['NVIDIA A100-SXM4-40GB']
03/03/2023 10:56:12 MainProcess MainThread _base _log DEBUG GPU VRAM: [40960.0]
03/03/2023 10:56:12 MainProcess MainThread _base _log DEBUG GPU VRAM free: [40369.875]
03/03/2023 10:56:12 MainProcess MainThread _base _log DEBUG Shutting down NVML
03/03/2023 10:56:12 MainProcess MainThread _base _log DEBUG Initialized NvidiaStats
03/03/2023 10:56:12 MainProcess MainThread launcher _configure_backend DEBUG Executing: train. PID: 207775
03/03/2023 10:56:14 MainProcess MainThread tpu_cluster_resolver <module> DEBUG Falling back to TensorFlow client; we recommended you install the Cloud TPU client directly with pip install cloud-tpu-client.
03/03/2023 10:56:14 MainProcess MainThread __init__ <module> DEBUG Creating converter from 7 to 5
03/03/2023 10:56:14 MainProcess MainThread __init__ <module> DEBUG Creating converter from 5 to 7
03/03/2023 10:56:14 MainProcess MainThread __init__ <module> DEBUG Creating converter from 7 to 5
03/03/2023 10:56:14 MainProcess MainThread __init__ <module> DEBUG Creating converter from 5 to 7
03/03/2023 10:56:17 MainProcess MainThread launcher _test_for_tf_version DEBUG Installed Tensorflow Version: (2, 10)
Traceback (most recent call last):
File "/home/hpc/b116ba/b116ba19/faceswap/lib/cli/launcher_py", line 228, in execute_script
script = self._import_script()
File "/home/hpc/b116ba/b116ba19/faceswap/lib/cli/launcher_py", line 51, in _import_script
module = import_module(mod)
File "/home/hpc/b116ba/b116ba19/.conda/envs/faceswapnv/lib/python3.8/importlib/__init___py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1014, in _gcd_import
File "<frozen importlib._bootstrap>", line 991, in _find_and_load
File "<frozen importlib._bootstrap>", line 975, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 671, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 843, in exec_module
File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
File "/home/hpc/b116ba/b116ba19/faceswap/scripts/train_py", line 12, in <module>
import cv2
ImportError: /lib64/libstdc++.so.6: version `GLIBCXX_3.4.26' not found (required by /home/hpc/b116ba/b116ba19/.conda/envs/faceswapnv/lib/python3.8/site-packages/cv2.cpython-38-x86_64-linux-gnu._o)
============ System Information ============
backend: nvidia
encoding: UTF-8
git_branch: Not Found
git_commits: Not Found
gpu_cuda: No global version found. Check Conda packages for Conda Cuda
gpu_cudnn: No global version found. Check Conda packages for Conda cuDNN
gpu_devices: GPU_0: NVIDIA A100-SXM4-40GB
gpu_devices_active: GPU_0
gpu_driver: 525.60.13
gpu_vram: GPU_0: 40960MB (40369MB free)
os_machine: x86_64
os_platform: Linux-4.18.0-425.10.1.el8_7.x86_64-x86_64-with-glibc2.10
os_release: 4.18.0-425.10.1.el8_7.x86_64
py_command: faceswap_py train -A faceswap_extractions/cage -B faceswap_extractions/godfather -m models/cage_godfather
py_conda_version: conda 4.10.3
py_implementation: CPython
py_version: 3.8.16
py_virtual_env: True
sys_cores: 128
sys_processor: x86_64
sys_ram: Total: 1031911MB, Available: 995034MB, Used: 31259MB, Free: 886563MB
=============== Pip Packages ===============
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aiohttp @ file:///home/conda/feedstock_root/build_artifacts/aiohttp_1676292672366/work
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cachetools @ file:///home/conda/feedstock_root/build_artifacts/cachetools_1674482203741/work
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click @ file:///home/conda/feedstock_root/build_artifacts/click_1666798198223/work
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google-pasta==0.2.0
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joblib @ file:///home/conda/feedstock_root/build_artifacts/joblib_1663332044897/work
keras==2.10.0
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kiwisolver @ file:///home/conda/feedstock_root/build_artifacts/kiwisolver_1666805766046/work
libclang==15.0.6.1
Markdown @ file:///home/conda/feedstock_root/build_artifacts/markdown_1657921053229/work
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munkres==1.1.4
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numpy @ file:///home/conda/feedstock_root/build_artifacts/numpy_1668919078398/work
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oauthlib @ file:///home/conda/feedstock_root/build_artifacts/oauthlib_1666056362788/work
opencv-python==4.7.0
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platformdirs @ file:///home/conda/feedstock_root/build_artifacts/platformdirs_1675735718929/work
ply==3.11
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protobuf==3.19.6
psutil @ file:///home/conda/feedstock_root/build_artifacts/psutil_1667885878918/work
ptyprocess @ file:///home/conda/feedstock_root/build_artifacts/ptyprocess_1609419310487/work/dist/ptyprocess-0.7.0-py2.py3-none-any.whl
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pyasn1-modules==0.2.7
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PyJWT @ file:///home/conda/feedstock_root/build_artifacts/pyjwt_1666240235902/work
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PyQt5-sip==12.11.0
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scipy==1.10.1
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tensorboard==2.10.1
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tensorboard-plugin-wit @ file:///home/conda/feedstock_root/build_artifacts/tensorboard-plugin-wit_1641458951060/work/tensorboard_plugin_wit-1.8.1-py3-none-any.whl
tensorflow @ file:///home/conda/feedstock_root/build_artifacts/tensorflow-split_1671152522001/work/tensorflow_pkg/tensorflow-2.11.0-cp38-cp38-linux_x86_64.whl
tensorflow-estimator==2.10.0
tensorflow-gpu==2.10.1
tensorflow-io-gcs-filesystem==0.31.0
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urllib3 @ file:///home/conda/feedstock_root/build_artifacts/urllib3_1673452138552/work
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zipp @ file:///home/conda/feedstock_root/build_artifacts/zipp_1677313463193/work
============== Conda Packages ==============
# packages in environment at /home/hpc/b116ba/b116ba19/.conda/envs/faceswapnv:
#
# Name Version Build Channel
_libgcc_mutex 0.1 conda_forge conda-forge
_openmp_mutex 4.5 2_gnu conda-forge
absl-py 1.4.0 pyhd8ed1ab_0 conda-forge
aiohttp 3.8.4 py38h1de0b5d_0 conda-forge
aiosignal 1.3.1 pyhd8ed1ab_0 conda-forge
alsa-lib 1.2.8 h166bdaf_0 conda-forge
aom 3.5.0 h27087fc_0 conda-forge
astunparse 1.6.3 pyhd8ed1ab_0 conda-forge
async-timeout 4.0.2 pyhd8ed1ab_0 conda-forge
attr 2.5.1 h166bdaf_1 conda-forge
attrs 22.2.0 pyh71513ae_0 conda-forge
binutils_impl_linux-64 2.40 hf600244_0 conda-forge
blinker 1.5 pyhd8ed1ab_0 conda-forge
brotli 1.0.9 h166bdaf_8 conda-forge
brotli-bin 1.0.9 h166bdaf_8 conda-forge
brotlipy 0.7.0 py38h0a891b7_1005 conda-forge
bzip2 1.0.8 h7f98852_4 conda-forge
c-ares 1.18.1 h7f98852_0 conda-forge
ca-certificates 2022.12.7 ha878542_0 conda-forge
cached-property 1.5.2 hd8ed1ab_1 conda-forge
cached_property 1.5.2 pyha770c72_1 conda-forge
cachetools 5.3.0 pyhd8ed1ab_0 conda-forge
cairo 1.16.0 ha61ee94_1014 conda-forge
certifi 2022.12.7 pyhd8ed1ab_0 conda-forge
cffi 1.15.1 py38h4a40e3a_3 conda-forge
charset-normalizer 2.1.1 pyhd8ed1ab_0 conda-forge
click 8.1.3 unix_pyhd8ed1ab_2 conda-forge
cloudpickle 2.2.1 pyhd8ed1ab_0 conda-forge
colorama 0.4.6 pyhd8ed1ab_0 conda-forge
cryptography 39.0.2 py38h3d167d9_0 conda-forge
cudatoolkit 11.2.2 hbe64b41_11 conda-forge
cudnn 8.1.0.77 h90431f1_0 conda-forge
cycler 0.11.0 pyhd8ed1ab_0 conda-forge
dbus 1.13.6 h5008d03_3 conda-forge
decorator 5.1.1 pyhd8ed1ab_0 conda-forge
dm-tree 0.1.7 py38h47df419_0 conda-forge
expat 2.5.0 h27087fc_0 conda-forge
fastcluster 1.2.6 py38h8f669ce_2 conda-forge
ffmpeg 5.1.2 gpl_h8dda1f0_106 conda-forge
ffmpy 0.3.0 pyhb6f538c_0 conda-forge
fftw 3.3.10 nompi_hf0379b8_106 conda-forge
flatbuffers 22.12.06 hcb278e6_2 conda-forge
font-ttf-dejavu-sans-mono 2.37 hab24e00_0 conda-forge
font-ttf-inconsolata 3.000 h77eed37_0 conda-forge
font-ttf-source-code-pro 2.038 h77eed37_0 conda-forge
font-ttf-ubuntu 0.83 hab24e00_0 conda-forge
fontconfig 2.14.2 h14ed4e7_0 conda-forge
fonts-conda-ecosystem 1 0 conda-forge
fonts-conda-forge 1 0 conda-forge
fonttools 4.38.0 py38h0a891b7_1 conda-forge
freeglut 3.2.2 h9c3ff4c_1 conda-forge
freetype 2.12.1 hca18f0e_1 conda-forge
frozenlist 1.3.3 py38h0a891b7_0 conda-forge
gast 0.4.0 pyh9f0ad1d_0 conda-forge
gcc 12.1.0 h9ea6d83_10 conda-forge
gcc_impl_linux-64 12.1.0 hea43390_17 conda-forge
gettext 0.21.1 h27087fc_0 conda-forge
giflib 5.2.1 h36c2ea0_2 conda-forge
glib 2.74.1 h6239696_1 conda-forge
glib-tools 2.74.1 h6239696_1 conda-forge
gmp 6.2.1 h58526e2_0 conda-forge
gnutls 3.7.8 hf3e180e_0 conda-forge
google-auth 2.16.2 pyh1a96a4e_0 conda-forge
google-auth-oauthlib 0.4.6 pyhd8ed1ab_0 conda-forge
google-pasta 0.2.0 pyh8c360ce_0 conda-forge
graphite2 1.3.13 h58526e2_1001 conda-forge
grpcio 1.51.1 py38h5c03f07_1 conda-forge
gst-plugins-base 1.22.0 h4243ec0_0 conda-forge
gstreamer 1.22.0 h25f0c4b_0 conda-forge
gstreamer-orc 0.4.33 h166bdaf_0 conda-forge
h5py 3.8.0 nompi_py38h43830be_101 conda-forge
harfbuzz 6.0.0 h8e241bc_0 conda-forge
hdf5 1.14.0 nompi_hb72d44e_102 conda-forge
icu 70.1 h27087fc_0 conda-forge
idna 3.4 pyhd8ed1ab_0 conda-forge
imageio 2.26.0 pyh24c5eb1_0 conda-forge
imageio-ffmpeg 0.4.8 pyhd8ed1ab_0 conda-forge
importlib-metadata 6.0.0 pyha770c72_0 conda-forge
jack 1.9.22 h11f4161_0 conda-forge
jasper 2.0.33 h0ff4b12_1 conda-forge
joblib 1.2.0 pyhd8ed1ab_0 conda-forge
jpeg 9e h0b41bf4_3 conda-forge
keras 2.10.0 pypi_0 pypi
keras-preprocessing 1.1.2 pyhd8ed1ab_0 conda-forge
kernel-headers_linux-64 2.6.32 he073ed8_15 conda-forge
keyutils 1.6.1 h166bdaf_0 conda-forge
kiwisolver 1.4.4 py38h43d8883_1 conda-forge
krb5 1.20.1 h81ceb04_0 conda-forge
lame 3.100 h166bdaf_1003 conda-forge
lcms2 2.14 hfd0df8a_1 conda-forge
ld_impl_linux-64 2.40 h41732ed_0 conda-forge
lerc 4.0.0 h27087fc_0 conda-forge
libabseil 20220623.0 cxx17_h05df665_6 conda-forge
libaec 1.0.6 hcb278e6_1 conda-forge
libblas 3.9.0 16_linux64_openblas conda-forge
libbrotlicommon 1.0.9 h166bdaf_8 conda-forge
libbrotlidec 1.0.9 h166bdaf_8 conda-forge
libbrotlienc 1.0.9 h166bdaf_8 conda-forge
libcap 2.66 ha37c62d_0 conda-forge
libcblas 3.9.0 16_linux64_openblas conda-forge
libclang 15.0.6.1 pypi_0 pypi
libclang13 15.0.7 default_h3e3d535_1 conda-forge
libcups 2.3.3 h36d4200_3 conda-forge
libcurl 7.88.1 hdc1c0ab_0 conda-forge
libdb 6.2.32 h9c3ff4c_0 conda-forge
libdeflate 1.17 h0b41bf4_0 conda-forge
libdrm 2.4.114 h166bdaf_0 conda-forge
libedit 3.1.20191231 he28a2e2_2 conda-forge
libev 4.33 h516909a_1 conda-forge
libevent 2.1.10 h28343ad_4 conda-forge
libffi 3.4.2 h7f98852_5 conda-forge
libflac 1.4.2 h27087fc_0 conda-forge
libgcc-devel_linux-64 12.1.0 h1ec3361_17 conda-forge
libgcc-ng 12.2.0 h65d4601_19 conda-forge
libgcrypt 1.10.1 h166bdaf_0 conda-forge
libgfortran-ng 12.2.0 h69a702a_19 conda-forge
libgfortran5 12.2.0 h337968e_19 conda-forge
libglib 2.74.1 h606061b_1 conda-forge
libglu 9.0.0 he1b5a44_1001 conda-forge
libgomp 12.2.0 h65d4601_19 conda-forge
libgpg-error 1.46 h620e276_0 conda-forge
libgrpc 1.51.1 h4fad500_1 conda-forge
libiconv 1.17 h166bdaf_0 conda-forge
libidn2 2.3.4 h166bdaf_0 conda-forge
liblapack 3.9.0 16_linux64_openblas conda-forge
liblapacke 3.9.0 16_linux64_openblas conda-forge
libllvm15 15.0.7 hadd5161_0 conda-forge
libnghttp2 1.52.0 h61bc06f_0 conda-forge
libnsl 2.0.0 h7f98852_0 conda-forge
libogg 1.3.4 h7f98852_1 conda-forge
libopenblas 0.3.21 pthreads_h78a6416_3 conda-forge
libopencv 4.7.0 py38hb32f1de_1 conda-forge
libopus 1.3.1 h7f98852_1 conda-forge
libpciaccess 0.17 h166bdaf_0 conda-forge
libpng 1.6.39 h753d276_0 conda-forge
libpq 15.2 hb675445_0 conda-forge
libprotobuf 3.21.12 h3eb15da_0 conda-forge
libsanitizer 12.1.0 ha89aaad_17 conda-forge
libsndfile 1.2.0 hb75c966_0 conda-forge
libsqlite 3.40.0 h753d276_0 conda-forge
libssh2 1.10.0 hf14f497_3 conda-forge
libstdcxx-ng 12.2.0 h46fd767_19 conda-forge
libsystemd0 252 h2a991cd_0 conda-forge
libtasn1 4.19.0 h166bdaf_0 conda-forge
libtiff 4.5.0 h6adf6a1_2 conda-forge
libtool 2.4.7 h27087fc_0 conda-forge
libudev1 253 h0b41bf4_0 conda-forge
libunistring 0.9.10 h7f98852_0 conda-forge
libuuid 2.32.1 h7f98852_1000 conda-forge
libva 2.17.0 h0b41bf4_0 conda-forge
libvorbis 1.3.7 h9c3ff4c_0 conda-forge
libvpx 1.11.0 h9c3ff4c_3 conda-forge
libwebp-base 1.2.4 h166bdaf_0 conda-forge
libxcb 1.13 h7f98852_1004 conda-forge
libxkbcommon 1.5.0 h79f4944_0 conda-forge
libxml2 2.10.3 h7463322_0 conda-forge
libzlib 1.2.13 h166bdaf_4 conda-forge
lz4-c 1.9.4 hcb278e6_0 conda-forge
markdown 3.4.1 pyhd8ed1ab_0 conda-forge
markupsafe 2.1.2 py38h1de0b5d_0 conda-forge
matplotlib 3.5.3 py38h578d9bd_2 conda-forge
matplotlib-base 3.5.3 py38h38b5ce0_2 conda-forge
mpg123 1.31.2 hcb278e6_0 conda-forge
multidict 6.0.4 py38h1de0b5d_0 conda-forge
munkres 1.1.4 pyh9f0ad1d_0 conda-forge
mysql-common 8.0.32 ha901b37_0 conda-forge
mysql-libs 8.0.32 hd7da12d_0 conda-forge
nccl 2.14.3.1 h0800d71_0 conda-forge
ncurses 6.3 h27087fc_1 conda-forge
nettle 3.8.1 hc379101_1 conda-forge
nomkl 1.0 h5ca1d4c_0 conda-forge
nspr 4.35 h27087fc_0 conda-forge
nss 3.88 he45b914_0 conda-forge
numexpr 2.8.3 py38h36ff5c2_101 conda-forge
numpy 1.23.5 py38h7042d01_0 conda-forge
nvidia-ml-py 11.525.84 pyhd8ed1ab_2 conda-forge
oauthlib 3.2.2 pyhd8ed1ab_0 conda-forge
opencv 4.7.0 py38h578d9bd_1 conda-forge
openh264 2.3.1 hcb278e6_2 conda-forge
openjpeg 2.5.0 hfec8fc6_2 conda-forge
openssl 3.0.8 h0b41bf4_0 conda-forge
opt_einsum 3.3.0 pyhd8ed1ab_1 conda-forge
p11-kit 0.24.1 hc5aa10d_0 conda-forge
packaging 23.0 pyhd8ed1ab_0 conda-forge
pcre2 10.40 hc3806b6_0 conda-forge
pexpect 4.8.0 pyh1a96a4e_2 conda-forge
pillow 9.4.0 py38hde6dc18_1 conda-forge
pip 23.0.1 pyhd8ed1ab_0 conda-forge
pixman 0.40.0 h36c2ea0_0 conda-forge
platformdirs 3.0.0 pyhd8ed1ab_0 conda-forge
ply 3.11 py_1 conda-forge
pooch 1.7.0 pyhd8ed1ab_0 conda-forge
protobuf 3.19.6 pypi_0 pypi
psutil 5.9.4 py38h0a891b7_0 conda-forge
pthread-stubs 0.4 h36c2ea0_1001 conda-forge
ptyprocess 0.7.0 pyhd3deb0d_0 conda-forge
pulseaudio 16.1 ha8d29e2_1 conda-forge
py-opencv 4.7.0 py38h6f1a3b6_1 conda-forge
pyasn1 0.4.8 py_0 conda-forge
pyasn1-modules 0.2.7 py_0 conda-forge
pycparser 2.21 pyhd8ed1ab_0 conda-forge
pyjwt 2.6.0 pyhd8ed1ab_0 conda-forge
pyopenssl 23.0.0 pyhd8ed1ab_0 conda-forge
pyparsing 3.0.9 pyhd8ed1ab_0 conda-forge
pyqt 5.15.7 py38ha0d8c90_3 conda-forge
pyqt5-sip 12.11.0 py38h8dc9893_3 conda-forge
pysocks 1.7.1 pyha2e5f31_6 conda-forge
python 3.8.16 he550d4f_1_cpython conda-forge
python-dateutil 2.8.2 pyhd8ed1ab_0 conda-forge
python-flatbuffers 23.1.21 pyhd8ed1ab_0 conda-forge
python_abi 3.8 3_cp38 conda-forge
pyu2f 0.1.5 pyhd8ed1ab_0 conda-forge
qt-main 5.15.8 h5d23da1_6 conda-forge
re2 2023.02.01 hcb278e6_0 conda-forge
readline 8.1.2 h0f457ee_0 conda-forge
requests 2.28.2 pyhd8ed1ab_0 conda-forge
requests-oauthlib 1.3.1 pyhd8ed1ab_0 conda-forge
rsa 4.9 pyhd8ed1ab_0 conda-forge
scikit-learn 1.0.2 py38h1561384_0 conda-forge
scipy 1.10.1 py38h10c12cc_0 conda-forge
setuptools 67.4.0 pyhd8ed1ab_0 conda-forge
sip 6.7.7 py38h8dc9893_0 conda-forge
six 1.16.0 pyh6c4a22f_0 conda-forge
snappy 1.1.9 hbd366e4_2 conda-forge
sqlite 3.40.0 h4ff8645_0 conda-forge
svt-av1 1.4.1 hcb278e6_0 conda-forge
sysroot_linux-64 2.12 he073ed8_15 conda-forge
tensorboard 2.10.1 pypi_0 pypi
tensorboard-data-server 0.6.1 py38h80a4ca7_4 conda-forge
tensorboard-plugin-wit 1.8.1 pyhd8ed1ab_0 conda-forge
tensorflow-base 2.11.0 cpu_py38hb03d4c4_0 conda-forge
tensorflow-estimator 2.10.0 pypi_0 pypi
tensorflow-gpu 2.10.1 pypi_0 pypi
tensorflow-io-gcs-filesystem 0.31.0 pypi_0 pypi
tensorflow-probability 0.15.0 pyhd8ed1ab_0 conda-forge
termcolor 2.2.0 pyhd8ed1ab_0 conda-forge
threadpoolctl 3.1.0 pyh8a188c0_0 conda-forge
tk 8.6.12 h27826a3_0 conda-forge
toml 0.10.2 pyhd8ed1ab_0 conda-forge
tornado 6.2 py38h0a891b7_1 conda-forge
tqdm 4.64.1 pyhd8ed1ab_0 conda-forge
typing-extensions 4.4.0 hd8ed1ab_0 conda-forge
typing_extensions 4.4.0 pyha770c72_0 conda-forge
unicodedata2 15.0.0 py38h0a891b7_0 conda-forge
urllib3 1.26.14 pyhd8ed1ab_0 conda-forge
werkzeug 2.2.3 pyhd8ed1ab_0 conda-forge
wheel 0.38.4 pyhd8ed1ab_0 conda-forge
wrapt 1.15.0 py38h1de0b5d_0 conda-forge
x264 1!164.3095 h166bdaf_2 conda-forge
x265 3.5 h924138e_3 conda-forge
xcb-util 0.4.0 h166bdaf_0 conda-forge
xcb-util-image 0.4.0 h166bdaf_0 conda-forge
xcb-util-keysyms 0.4.0 h166bdaf_0 conda-forge
xcb-util-renderutil 0.3.9 h166bdaf_0 conda-forge
xcb-util-wm 0.4.1 h166bdaf_0 conda-forge
xorg-fixesproto 5.0 h7f98852_1002 conda-forge
xorg-inputproto 2.3.2 h7f98852_1002 conda-forge
xorg-kbproto 1.0.7 h7f98852_1002 conda-forge
xorg-libice 1.0.10 h7f98852_0 conda-forge
xorg-libsm 1.2.3 hd9c2040_1000 conda-forge
xorg-libx11 1.8.4 h0b41bf4_0 conda-forge
xorg-libxau 1.0.9 h7f98852_0 conda-forge
xorg-libxdmcp 1.1.3 h7f98852_0 conda-forge
xorg-libxext 1.3.4 h0b41bf4_2 conda-forge
xorg-libxfixes 5.0.3 h7f98852_1004 conda-forge
xorg-libxi 1.7.10 h7f98852_0 conda-forge
xorg-libxrender 0.9.10 h7f98852_1003 conda-forge
xorg-renderproto 0.11.1 h7f98852_1002 conda-forge
xorg-xextproto 7.3.0 h0b41bf4_1003 conda-forge
xorg-xproto 7.0.31 h7f98852_1007 conda-forge
xz 5.2.6 h166bdaf_0 conda-forge
yarl 1.8.2 py38h0a891b7_0 conda-forge
zipp 3.15.0 pyhd8ed1ab_0 conda-forge
zlib 1.2.13 h166bdaf_4 conda-forge
zstd 1.5.2 h3eb15da_6 conda-forge
================= Configs ==================
--------- train.ini ---------
[global]
centering: face
coverage: 87.5
icnr_init: False
conv_aware_init: False
optimizer: adam
learning_rate: 5e-05
epsilon_exponent: -7
autoclip: False
reflect_padding: False
allow_growth: False
mixed_precision: False
nan_protection: True
convert_batchsize: 16
[global.loss]
loss_function: ssim
loss_function_2: mse
loss_weight_2: 100
loss_function_3: none
loss_weight_3: 0
loss_function_4: none
loss_weight_4: 0
mask_loss_function: mse
eye_multiplier: 3
mouth_multiplier: 2
penalized_mask_loss: True
mask_type: extended
mask_blur_kernel: 3
mask_threshold: 4
learn_mask: False
[trainer.original]
preview_images: 14
mask_opacity: 30
mask_color: #ff0000
zoom_amount: 5
rotation_range: 10
shift_range: 5
flip_chance: 50
color_lightness: 30
color_ab: 8
color_clahe_chance: 50
color_clahe_max_size: 4
[model.villain]
lowmem: False
[model.dfl_h128]
lowmem: False
[model.unbalanced]
input_size: 128
lowmem: False
nodes: 1024
complexity_encoder: 128
complexity_decoder_a: 384
complexity_decoder_b: 512
[model.realface]
input_size: 64
output_size: 128
dense_nodes: 1536
complexity_encoder: 128
complexity_decoder: 512
[model.dfl_sae]
input_size: 128
architecture: df
autoencoder_dims: 0
encoder_dims: 42
decoder_dims: 21
multiscale_decoder: False
[model.dlight]
features: best
details: good
output_size: 256
[model.dfaker]
output_size: 128
[model.original]
lowmem: False
[model.phaze_a]
output_size: 128
shared_fc: none
enable_gblock: True
split_fc: True
split_gblock: False
split_decoders: False
enc_architecture: fs_original
enc_scaling: 7
enc_load_weights: True
bottleneck_type: dense
bottleneck_norm: none
bottleneck_size: 1024
bottleneck_in_encoder: True
fc_depth: 1
fc_min_filters: 1024
fc_max_filters: 1024
fc_dimensions: 4
fc_filter_slope: -0.5
fc_dropout: 0.0
fc_upsampler: upsample2d
fc_upsamples: 1
fc_upsample_filters: 512
fc_gblock_depth: 3
fc_gblock_min_nodes: 512
fc_gblock_max_nodes: 512
fc_gblock_filter_slope: -0.5
fc_gblock_dropout: 0.0
dec_upscale_method: subpixel
dec_upscales_in_fc: 0
dec_norm: none
dec_min_filters: 64
dec_max_filters: 512
dec_slope_mode: full
dec_filter_slope: -0.45
dec_res_blocks: 1
dec_output_kernel: 5
dec_gaussian: True
dec_skip_last_residual: True
freeze_layers: keras_encoder
load_layers: encoder
fs_original_depth: 4
fs_original_min_filters: 128
fs_original_max_filters: 1024
fs_original_use_alt: False
mobilenet_width: 1.0
mobilenet_depth: 1
mobilenet_dropout: 0.001
mobilenet_minimalistic: False
--------- .faceswap ---------
backend: nvidia
--------- extract.ini ---------
[global]
allow_growth: False
aligner_min_scale: 0.07
aligner_max_scale: 2.0
aligner_distance: 22.5
aligner_roll: 45.0
aligner_features: True
filter_refeed: True
save_filtered: False
realign_refeeds: True
filter_realign: True
[mask.vgg_obstructed]
batch-size: 2
[mask.bisenet_fp]
batch-size: 8
cpu: False
weights: faceswap
include_ears: False
include_hair: False
include_glasses: True
[mask.vgg_clear]
batch-size: 6
[mask.unet_dfl]
batch-size: 8
[mask.custom]
batch-size: 8
centering: face
fill: False
[recognition.vgg_face2]
batch-size: 16
cpu: False
[align.fan]
batch-size: 12
[detect.mtcnn]
minsize: 20
scalefactor: 0.709
batch-size: 8
cpu: True
threshold_1: 0.6
threshold_2: 0.7
threshold_3: 0.7
[detect.s3fd]
confidence: 70
batch-size: 4
[detect.cv2_dnn]
confidence: 50
--------- convert.ini ---------
[writer.pillow]
format: png
draw_transparent: False
separate_mask: False
optimize: False
gif_interlace: True
jpg_quality: 75
png_compress_level: 3
tif_compression: tiff_deflate
[writer.ffmpeg]
container: mp4
codec: libx264
crf: 23
preset: medium
tune: none
profile: auto
level: auto
skip_mux: False
[writer.opencv]
format: png
draw_transparent: False
separate_mask: False
jpg_quality: 75
png_compress_level: 3
[writer.gif]
fps: 25
loop: 0
palettesize: 256
subrectangles: False
[mask.mask_blend]
type: normalized
kernel_size: 3
passes: 4
threshold: 4
erosion: 0.0
erosion_top: 0.0
erosion_bottom: 0.0
erosion_left: 0.0
erosion_right: 0.0
[scaling.sharpen]
method: none
amount: 150
radius: 0.3
threshold: 5.0
[color.match_hist]
threshold: 99.0
[color.color_transfer]
clip: True
preserve_paper: True
[color.manual_balance]
colorspace: HSV
balance_1: 0.0
balance_2: 0.0
balance_3: 0.0
contrast: 0.0
brightness: 0.0
Now i dont really have much experience with conda or gcc, so i maybe wrong, but for me it looks like it tries to use the libstdc of my system instead the one of my environment(where GLIBCXX_3.4.26 is missing as it is not listed when i do
Code: Select all
strings /lib64/libstdc++.so.6 | grep GLIBC )
When i run the same command where the libstdc installed in my environment is located
Code: Select all
strings ~/.conda/envs/faceswapnv/lib/libstdc++.so.6 | grep GLIBC it shows me that GLIBCXX_3.4.26 is available.
Am i correct that this is the issue and if yes, how can i fix this?
Thank you for your help!
EDIT:
I found the solution (thanks ChatGPT!). I needed to set the LD_LIBRARY_PATH Variable to variable to the location of the libraries in my conda environment with:
Code: Select all
LD_LIBRARY_PATH=~/.conda/envs/faceswapnv/lib:$LD_LIBRARY_PATH As i found a solution i might delete this post now, on the other hand, this post might come in handy for someone dealing with a similar problem. So i think i will leave that up to the mods.