Hi, there.
I'm running faceswap gui on windows 10.
It fails to engage my GPU for both extraction and training (GeForce GTX 1650).
In case of extraction procedure I checked "Allow Growth" feature and used CPU (It's not a big deal).
But as you know, training without GPU will take days. What am I doing wrong?
This is error I get:
Code: Select all
06/14/2020 20:30:32 INFO Loading Trainer from Original plugin...
06/14/2020 20:30:34 INFO Enabled TensorBoard Logging
06/14/2020 20:31:04 CRITICAL Error caught! Exiting...
06/14/2020 20:31:04 ERROR Caught exception in thread: '_training_0'
06/14/2020 20:31:04 ERROR You do not have enough GPU memory available to train the selected model at the selected settings. You can try a number of things:
06/14/2020 20:31:04 ERROR 1) Close any other application that is using your GPU (web browsers are particularly bad for this).
06/14/2020 20:31:04 ERROR 2) Lower the batchsize (the amount of images fed into the model each iteration).
06/14/2020 20:31:04 ERROR 3) Try 'Memory Saving Gradients' and/or 'Optimizer Savings' and/or 'Ping Pong Training'.
06/14/2020 20:31:04 ERROR 4) Use a more lightweight model, or select the model's 'LowMem' option (in config) if it has one.
Process exited.
And this is the Output system information:
Code: Select all
============ System Information ============
encoding: cp1252
git_branch: master
git_commits: 127d3db Dependencies update (#1028)
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: GeForce GTX 1650
gpu_devices_active: GPU_0
gpu_driver: 446.14
gpu_vram: GPU_0: 4096MB
os_machine: AMD64
os_platform: Windows-10-10.0.18362-SP0
os_release: 10
py_command: C:\Users\admin\faceswap/faceswap.py gui
py_conda_version: conda 4.8.3
py_implementation: CPython
py_version: 3.7.7
py_virtual_env: True
sys_cores: 12
sys_processor: Intel64 Family 6 Model 158 Stepping 10, GenuineIntel
sys_ram: Total: 32495MB, Available: 20090MB, Used: 12404MB, Free: 20090MB
=============== Pip Packages ===============
absl-py==0.9.0
astor==0.8.0
blinker==1.4
cachetools==4.1.0
certifi==2020.4.5.1
cffi==1.14.0
chardet==3.0.4
click==7.1.2
cloudpickle==1.4.1
cryptography==2.9.2
cycler==0.10.0
cytoolz==0.10.1
dask==2.17.2
decorator==4.4.2
fastcluster==1.1.26
ffmpy==0.2.3
gast==0.2.2
google-auth==1.14.1
google-auth-oauthlib==0.4.1
google-pasta==0.2.0
grpcio==1.27.2
h5py==2.10.0
idna==2.9
imageio==2.8.0
imageio-ffmpeg==0.4.2
joblib==0.15.1
Keras==2.2.4
Keras-Applications==1.0.8
Keras-Preprocessing==1.1.0
kiwisolver==1.2.0
Markdown==3.1.1
matplotlib==3.1.3
mkl-fft==1.0.15
mkl-random==1.1.1
mkl-service==2.3.0
networkx==2.4
numpy==1.18.1
nvidia-ml-py3==7.352.1
oauthlib==3.1.0
olefile==0.46
opencv-python==4.2.0.34
opt-einsum==3.1.0
pathlib==1.0.1
Pillow==7.1.2
protobuf==3.12.3
psutil==5.7.0
pyasn1==0.4.8
pyasn1-modules==0.2.7
pycparser==2.20
PyJWT==1.7.1
pyOpenSSL==19.1.0
pyparsing==2.4.7
pyreadline==2.1
PySocks==1.7.1
python-dateutil==2.8.1
PyWavelets==1.1.1
pywin32==227
PyYAML==5.3.1
requests==2.23.0
requests-oauthlib==1.3.0
rsa==4.0
scikit-image==0.16.2
scikit-learn==0.22.1
scipy==1.4.1
six==1.15.0
tensorboard==2.2.1
tensorboard-plugin-wit==1.6.0
tensorflow==1.15.0
tensorflow-estimator==1.15.1
termcolor==1.1.0
toolz==0.10.0
toposort==1.5
tornado==6.0.4
tqdm==4.46.0
urllib3==1.25.8
Werkzeug==0.16.1
win-inet-pton==1.1.0
wincertstore==0.2
wrapt==1.12.1
============== Conda Packages ==============
# packages in environment at C:\Users\admin\MiniConda3\envs\faceswap:
#
# Name Version Build Channel
_tflow_select 2.1.0 gpu
absl-py 0.9.0 py37_0
astor 0.8.0 py37_0
blas 1.0 mkl
blinker 1.4 py37_0
ca-certificates 2020.1.1 0
cachetools 4.1.0 py_1
certifi 2020.4.5.1 py37_0
cffi 1.14.0 py37h7a1dbc1_0
chardet 3.0.4 py37_1003
click 7.1.2 py_0
cloudpickle 1.4.1 py_0
cryptography 2.9.2 py37h7a1dbc1_0
cudatoolkit 10.0.130 0
cudnn 7.6.5 cuda10.0_0
cycler 0.10.0 py37_0
cytoolz 0.10.1 py37he774522_0
dask-core 2.17.2 py_0
decorator 4.4.2 py_0
fastcluster 1.1.26 pypi_0 pypi
ffmpy 0.2.3 pypi_0 pypi
freetype 2.9.1 ha9979f8_1
gast 0.2.2 py37_0
git 2.23.0 h6bb4b03_0
google-auth 1.14.1 py_0
google-auth-oauthlib 0.4.1 py_2
google-pasta 0.2.0 py_0
grpcio 1.27.2 py37h351948d_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
idna 2.9 py_1
imageio 2.8.0 py_0
imageio-ffmpeg 0.4.2 pypi_0 pypi
intel-openmp 2020.1 216
joblib 0.15.1 py_0
jpeg 9b hb83a4c4_2
keras 2.2.4 0
keras-applications 1.0.8 py_0
keras-base 2.2.4 py37_0
keras-preprocessing 1.1.0 py_1
kiwisolver 1.2.0 py37h74a9793_0
libpng 1.6.37 h2a8f88b_0
libprotobuf 3.12.3 h7bd577a_0
libtiff 4.1.0 h56a325e_1
lz4-c 1.9.2 h62dcd97_0
markdown 3.1.1 py37_0
matplotlib 3.1.3 py37_0
matplotlib-base 3.1.3 py37h64f37c6_0
mkl 2020.1 216
mkl-service 2.3.0 py37hb782905_0
mkl_fft 1.0.15 py37h14836fe_0
mkl_random 1.1.1 py37h47e9c7a_0
networkx 2.4 py_0
numpy 1.18.1 py37h93ca92e_0
numpy-base 1.18.1 py37hc3f5095_1
nvidia-ml-py3 7.352.1 pypi_0 pypi
oauthlib 3.1.0 py_0
olefile 0.46 py37_0
opencv-python 4.2.0.34 pypi_0 pypi
openssl 1.1.1g he774522_0
opt_einsum 3.1.0 py_0
pathlib 1.0.1 py37_1
pillow 7.1.2 py37hcc1f983_0
pip 20.0.2 py37_3
protobuf 3.12.3 py37h33f27b4_0
psutil 5.7.0 py37he774522_0
pyasn1 0.4.8 py_0
pyasn1-modules 0.2.7 py_0
pycparser 2.20 py_0
pyjwt 1.7.1 py37_0
pyopenssl 19.1.0 py37_0
pyparsing 2.4.7 py_0
pyqt 5.9.2 py37h6538335_2
pyreadline 2.1 py37_1
pysocks 1.7.1 py37_0
python 3.7.7 h81c818b_4
python-dateutil 2.8.1 py_0
pywavelets 1.1.1 py37he774522_0
pywin32 227 py37he774522_1
pyyaml 5.3.1 py37he774522_0
qt 5.9.7 vc14h73c81de_0
requests 2.23.0 py37_0
requests-oauthlib 1.3.0 py_0
rsa 4.0 py_0
scikit-image 0.16.2 py37h47e9c7a_0
scikit-learn 0.22.1 py37h6288b17_0
scipy 1.4.1 py37h9439919_0
setuptools 47.1.1 py37_0
sip 4.19.8 py37h6538335_0
six 1.15.0 py_0
sqlite 3.31.1 h2a8f88b_1
tensorboard 2.2.1 pyh532a8cf_0
tensorboard-plugin-wit 1.6.0 py_0
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
tk 8.6.8 hfa6e2cd_0
toolz 0.10.0 py_0
toposort 1.5 pypi_0 pypi
tornado 6.0.4 py37he774522_1
tqdm 4.46.0 py_0
urllib3 1.25.8 py37_0
vc 14.1 h0510ff6_4
vs2015_runtime 14.16.27012 hf0eaf9b_2
werkzeug 0.16.1 py_0
wheel 0.34.2 py37_0
win_inet_pton 1.1.0 py37_0
wincertstore 0.2 py37_0
wrapt 1.12.1 py37he774522_1
xz 5.2.5 h62dcd97_0
yaml 0.1.7 hc54c509_2
zlib 1.2.11 h62dcd97_4
zstd 1.4.4 ha9fde0e_3
================= 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
[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