Hello, I have a problem with my gpu. It is a Quadro K2000M and Faceswap will not use it.
It has a Compute Capability 3.0 so therefore I have tried Faceswap 1.0 but without success.
Is there anything else I can do?
And here are the System Informations...
Code: Select all
============ System Information ============
encoding: cp1252
git_branch: r1.0
git_commits: a4ccfc6 GUI - Remove Switch Branch option Installers - Pin to r1.0
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: Quadro K2000M
gpu_devices_active: GPU_0
gpu_driver: 382.16
gpu_vram: GPU_0: 2048MB
os_machine: AMD64
os_platform: Windows-10-10.0.19041-SP0
os_release: 10
py_command: C:\Users\Arbeitssklave\faceswap/faceswap.py gui
py_conda_version: conda 4.9.2
py_implementation: CPython
py_version: 3.7.9
py_virtual_env: True
sys_cores: 4
sys_processor: Intel64 Family 6 Model 58 Stepping 9, GenuineIntel
sys_ram: Total: 16285MB, Available: 13345MB, Used: 2939MB, Free: 13345MB
=============== Pip Packages ===============
absl-py @ file:///tmp/build/80754af9/absl-py_1607439979954/work
astor==0.8.1
certifi==2020.12.5
cloudpickle @ file:///tmp/build/80754af9/cloudpickle_1598884132938/work
cycler==0.10.0
cytoolz==0.11.0
dask @ file:///tmp/build/80754af9/dask-core_1611341281313/work
decorator @ file:///home/ktietz/src/ci/decorator_1611930055503/work
fastcluster==1.1.26
ffmpy==0.2.3
gast==0.2.2
google-pasta==0.2.0
grpcio @ file:///C:/ci/grpcio_1597406403308/work
h5py==2.10.0
imagecodecs @ file:///C:/ci/imagecodecs_1611243754207/work
imageio @ file:///tmp/build/80754af9/imageio_1594161405741/work
imageio-ffmpeg @ file:///home/conda/feedstock_root/build_artifacts/imageio-ffmpeg_1609799311556/work
importlib-metadata @ file:///tmp/build/80754af9/importlib-metadata_1602276842396/work
joblib @ file:///tmp/build/80754af9/joblib_1607970656719/work
Keras==2.2.4
Keras-Applications @ file:///tmp/build/80754af9/keras-applications_1594366238411/work
Keras-Preprocessing @ file:///tmp/build/80754af9/keras-preprocessing_1612283640596/work
kiwisolver @ file:///C:/ci/kiwisolver_1612282618948/work
Markdown @ file:///C:/ci/markdown_1605111187600/work
matplotlib @ file:///C:/ci/matplotlib-base_1603356257853/work
mkl-fft==1.2.0
mkl-random==1.1.1
mkl-service==2.3.0
networkx @ file:///tmp/build/80754af9/networkx_1598376031484/work
numpy @ file:///C:/ci/numpy_and_numpy_base_1603468620949/work
nvidia-ml-py3 @ git+https://github.com/deepfakes/nvidia-ml-py3.git@6fc29ac84b32bad877f078cb4a777c1548a00bf6
olefile==0.46
opencv-python==4.5.1.48
opt-einsum==3.1.0
Pillow @ file:///C:/ci/pillow_1609786872067/work
protobuf==3.14.0
psutil @ file:///C:/ci/psutil_1612298033174/work
pyparsing @ file:///home/linux1/recipes/ci/pyparsing_1610983426697/work
pyreadline==2.1
python-dateutil @ file:///home/ktietz/src/ci/python-dateutil_1611928101742/work
PyWavelets @ file:///C:/ci/pywavelets_1601658407053/work
pywin32==227
PyYAML==5.4.1
scikit-image==0.17.2
scikit-learn @ file:///C:/ci/scikit-learn_1598376983131/work
scipy @ file:///C:/ci/scipy_1612469765256/work
six @ file:///C:/ci/six_1605205426665/work
tensorboard==2.0.0
tensorflow==1.15.0
tensorflow-estimator==1.15.1
termcolor==1.1.0
threadpoolctl @ file:///tmp/tmp9twdgx9k/threadpoolctl-2.1.0-py3-none-any.whl
tifffile @ file:///tmp/build/80754af9/tifffile_1610739638720/work
toolz @ file:///home/linux1/recipes/ci/toolz_1610987900194/work
toposort==1.5
tornado @ file:///C:/ci/tornado_1606935947090/work
tqdm @ file:///tmp/build/80754af9/tqdm_1611857934208/work
Werkzeug==0.16.1
wincertstore==0.2
wrapt==1.12.1
zipp @ file:///tmp/build/80754af9/zipp_1604001098328/work
============== Conda Packages ==============
# packages in environment at C:\Users\Arbeitssklave\MiniConda3\envs\faceswap:
#
# Name Version Build Channel
_tflow_select 2.1.0 gpu
absl-py 0.11.0 pyhd3eb1b0_1
astor 0.8.1 py37haa95532_0
blas 1.0 mkl
blosc 1.20.1 h7bd577a_0
brotli 1.0.9 ha925a31_2
bzip2 1.0.8 he774522_0
ca-certificates 2021.1.19 haa95532_0
certifi 2020.12.5 py37haa95532_0
charls 2.1.0 h33f27b4_2
cloudpickle 1.6.0 py_0
cudatoolkit 10.0.130 0
cudnn 7.6.5 cuda10.0_0
cycler 0.10.0 py37_0
cytoolz 0.11.0 py37he774522_0
dask-core 2021.1.1 pyhd3eb1b0_0
decorator 4.4.2 pyhd3eb1b0_0
fastcluster 1.1.26 py37h414f9d2_2 conda-forge
ffmpeg 4.3.1 ha925a31_0 conda-forge
ffmpy 0.2.3 pypi_0 pypi
freetype 2.10.4 hd328e21_0
gast 0.2.2 py37_0
giflib 5.2.1 h62dcd97_0
git 2.23.0 h6bb4b03_0
google-pasta 0.2.0 py_0
grpcio 1.31.0 py37he7da953_0
h5py 2.10.0 py37h5e291fa_0
hdf5 1.10.4 h7ebc959_0
icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha925a31_3
imagecodecs 2021.1.11 py37h5da4933_1
imageio 2.9.0 py_0
imageio-ffmpeg 0.4.3 pyhd8ed1ab_0 conda-forge
importlib-metadata 2.0.0 py_1
intel-openmp 2020.2 254
joblib 1.0.0 pyhd3eb1b0_0
jpeg 9b hb83a4c4_2
keras 2.2.4 0
keras-applications 1.0.8 py_1
keras-base 2.2.4 py37_0
keras-preprocessing 1.1.2 pyhd3eb1b0_0
kiwisolver 1.3.1 py37hd77b12b_0
lcms2 2.11 hc51a39a_0
lerc 2.2.1 hd77b12b_0
libaec 1.0.4 h33f27b4_1
libdeflate 1.7 h2bbff1b_5
libpng 1.6.37 h2a8f88b_0
libprotobuf 3.14.0 h23ce68f_0
libtiff 4.1.0 h56a325e_1
libzopfli 1.0.3 ha925a31_0
lz4-c 1.9.3 h2bbff1b_0
markdown 3.3.3 py37haa95532_0
matplotlib 3.3.2 haa95532_0
matplotlib-base 3.3.2 py37hba9282a_0
mkl 2020.2 256
mkl-service 2.3.0 py37h196d8e1_0
mkl_fft 1.2.0 py37h45dec08_0
mkl_random 1.1.1 py37h47e9c7a_0
networkx 2.5 py_0
numpy 1.19.2 py37hadc3359_0
numpy-base 1.19.2 py37ha3acd2a_0
nvidia-ml-py3 7.352.1 pypi_0 pypi
olefile 0.46 py37_0
opencv-python 4.5.1.48 pypi_0 pypi
openjpeg 2.3.0 h5ec785f_1
openssl 1.1.1i h2bbff1b_0
opt_einsum 3.1.0 py_0
pathlib 1.0.1 py37_2
pillow 8.1.0 py37h4fa10fc_0
pip 20.3.3 py37haa95532_0
protobuf 3.14.0 py37hd77b12b_1
psutil 5.8.0 py37h2bbff1b_1
pyparsing 2.4.7 pyhd3eb1b0_0
pyqt 5.9.2 py37h6538335_2
pyreadline 2.1 py37_1
python 3.7.9 h60c2a47_0
python-dateutil 2.8.1 pyhd3eb1b0_0
python_abi 3.7 1_cp37m conda-forge
pywavelets 1.1.1 py37he774522_2
pywin32 227 py37he774522_1
pyyaml 5.4.1 py37h2bbff1b_1
qt 5.9.7 vc14h73c81de_0
scikit-image 0.17.2 py37h1e1f486_0
scikit-learn 0.23.2 py37h47e9c7a_0
scipy 1.6.0 py37h14eb087_0
setuptools 52.0.0 py37haa95532_0
sip 4.19.8 py37h6538335_0
six 1.15.0 py37haa95532_0
snappy 1.1.8 h33f27b4_0
sqlite 3.33.0 h2a8f88b_0
tensorboard 2.0.0 pyhb38c66f_1
tensorflow 1.15.0 gpu_py37hc3743a6_0
tensorflow-base 1.15.0 gpu_py37h1afeea4_0
tensorflow-estimator 1.15.1 pyh2649769_0
tensorflow-gpu 1.15.0 h0d30ee6_0
termcolor 1.1.0 py37_1
threadpoolctl 2.1.0 pyh5ca1d4c_0
tifffile 2021.1.14 pyhd3eb1b0_1
tk 8.6.10 he774522_0
toolz 0.11.1 pyhd3eb1b0_0
toposort 1.5 py_3 conda-forge
tornado 6.1 py37h2bbff1b_0
tqdm 4.56.0 pyhd3eb1b0_0
vc 14.2 h21ff451_1
vs2015_runtime 14.27.29016 h5e58377_2
werkzeug 0.16.1 py_0
wheel 0.36.2 pyhd3eb1b0_0
wincertstore 0.2 py37_0
wrapt 1.12.1 py37he774522_1
xz 5.2.5 h62dcd97_0
yaml 0.2.5 he774522_0
zfp 0.5.5 hd77b12b_4
zipp 3.4.0 pyhd3eb1b0_0
zlib 1.2.11 h62dcd97_4
zstd 1.4.5 h04227a9_0
================= Configs ==================
--------- .faceswap ---------
backend: nvidia
--------- convert.ini ---------
[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
[color.match_hist]
threshold: 99.0
[mask.box_blend]
type: gaussian
distance: 11.0
radius: 5.0
passes: 1
[mask.mask_blend]
type: normalized
kernel_size: 3
passes: 4
threshold: 4
erosion: 0.0
[scaling.sharpen]
method: unsharp_mask
amount: 150
radius: 0.3
threshold: 5.0
[writer.ffmpeg]
container: mp4
codec: libx264
crf: 23
preset: medium
tune: none
profile: auto
level: auto
skip_mux: False
[writer.gif]
fps: 25
loop: 0
palettesize: 256
subrectangles: False
[writer.opencv]
format: png
draw_transparent: False
jpg_quality: 75
png_compress_level: 3
[writer.pillow]
format: png
draw_transparent: False
optimize: False
gif_interlace: True
jpg_quality: 75
png_compress_level: 3
tif_compression: tiff_deflate
--------- extract.ini ---------
[global]
allow_growth: False
[align.fan]
batch-size: 12
[detect.cv2_dnn]
confidence: 50
[detect.mtcnn]
minsize: 20
threshold_1: 0.6
threshold_2: 0.7
threshold_3: 0.7
scalefactor: 0.709
batch-size: 8
[detect.s3fd]
confidence: 70
batch-size: 4
[mask.unet_dfl]
batch-size: 8
[mask.vgg_clear]
batch-size: 6
[mask.vgg_obstructed]
batch-size: 2
--------- gui.ini ---------
[global]
fullscreen: False
tab: extract
options_panel_width: 30
console_panel_height: 20
icon_size: 14
font: default
font_size: 9
autosave_last_session: prompt
timeout: 120
auto_load_model_stats: True
--------- train.ini ---------
[global]
coverage: 68.75
mask_type: none
mask_blur_kernel: 3
mask_threshold: 4
learn_mask: False
icnr_init: False
conv_aware_init: False
reflect_padding: False
penalized_mask_loss: True
loss_function: mae
learning_rate: 5e-05
[model.dfl_h128]
lowmem: False
[model.dfl_sae]
input_size: 128
clipnorm: True
architecture: df
autoencoder_dims: 0
encoder_dims: 42
decoder_dims: 21
multiscale_decoder: False
[model.dlight]
features: best
details: good
output_size: 256
[model.original]
lowmem: False
[model.realface]
input_size: 64
output_size: 128
dense_nodes: 1536
complexity_encoder: 128
complexity_decoder: 512
[model.unbalanced]
input_size: 128
lowmem: False
clipnorm: True
nodes: 1024
complexity_encoder: 128
complexity_decoder_a: 384
complexity_decoder_b: 512
[model.villain]
lowmem: False
[trainer.original]
preview_images: 14
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