CPU 100% usage even though video card selected
Not sure what's going on, I recently reinstalled faceswap and since I have it's acting like it's not using the GPU. my GPU is at 12% usage, CPU constantly at 100%, even though it says it's using nvidia, eg:
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Loading...
Setting Faceswap backend to NVIDIA
02/20/2023 16:53:25 INFO Log level set to: INFO
02/20/2023 16:53:31 INFO Loading Detect from S3Fd plugin...
02/20/2023 16:53:31 INFO Loading Align from Fan plugin...
02/20/2023 16:53:31 INFO Loading Mask from Components plugin...
02/20/2023 16:53:31 INFO Loading Mask from Extended plugin...
02/20/2023 16:53:31 INFO Loading Mask from Bisenet_Fp plugin...
02/20/2023 16:53:31 INFO Starting, this may take a while...
02/20/2023 16:53:31 INFO Output Directory: C:\(DEEP)\Actress B\julia stiles
02/20/2023 16:53:40 INFO Initializing S3FD (Detect)...
02/20/2023 16:53:41 INFO Initialized S3FD (Detect) with batchsize of 4
02/20/2023 16:53:41 INFO Initializing FAN (Align)...
02/20/2023 16:54:06 INFO Initialized FAN (Align) with batchsize of 12
02/20/2023 16:54:06 INFO Initializing Components (Mask)...
02/20/2023 16:54:06 INFO Initialized Components (Mask) with batchsize of 1
02/20/2023 16:54:06 INFO Initializing Extended (Mask)...
02/20/2023 16:54:06 INFO Initialized Extended (Mask) with batchsize of 1
02/20/2023 16:54:06 INFO Initializing BiSeNet - Face Parsing (Mask)...
02/20/2023 16:54:12 INFO Initialized BiSeNet - Face Parsing (Mask) with batchsize of 8
System info as follows:
============ System Information ============
backend: nvidia
encoding: cp1252
git_branch: master
git_commits: a1ef5ed tests: - unit test: tools.alignments.media - Add mypy test - Typing fixes
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 GeForce GTX 1080
gpu_devices_active: GPU_0
gpu_driver: 516.01
gpu_vram: GPU_0: 8192MB (7375MB free)
os_machine: AMD64
os_platform: Windows-10-10.0.19045-SP0
os_release: 10
py_command: C:\Users\dkroker\faceswap/faceswap.py gui
py_conda_version: conda 23.1.0
py_implementation: CPython
py_version: 3.9.16
py_virtual_env: True
sys_cores: 12
sys_processor: Intel64 Family 6 Model 158 Stepping 10, GenuineIntel
sys_ram: Total: 32710MB, Available: 18440MB, Used: 14270MB, Free: 18439MB
=============== Pip Packages ===============
absl-py==1.2.0
astunparse==1.6.3
cachetools==5.2.0
certifi @ file:///C:/b/abs_85o_6fm0se/croot/certifi_1671487778835/work/certifi
cloudpickle @ file:///tmp/build/80754af9/cloudpickle_1632508026186/work
colorama @ file:///C:/b/abs_a9ozq0l032/croot/colorama_1672387194846/work
cycler @ file:///tmp/build/80754af9/cycler_1637851556182/work
decorator @ file:///opt/conda/conda-bld/decorator_1643638310831/work
dm-tree @ file:///C:/b/abs_10z0iy5knj/croot/dm-tree_1671027465819/work
fastcluster @ file:///D:/bld/fastcluster_1649783471014/work
ffmpy==0.3.0
flatbuffers==1.12
flit_core @ file:///opt/conda/conda-bld/flit-core_1644941570762/work/source/flit_core
fonttools==4.25.0
gast==0.4.0
google-auth==2.11.0
google-auth-oauthlib==0.4.6
google-pasta==0.2.0
grpcio==1.47.0
h5py==3.7.0
imageio @ file:///C:/Windows/TEMP/abs_24c1b783-7540-4ca9-a1b1-0e8aa8e6ae64hb79ssux/croots/recipe/imageio_1658785038775/work
imageio-ffmpeg @ file:///home/conda/feedstock_root/build_artifacts/imageio-ffmpeg_1673483481485/work
importlib-metadata==4.12.0
joblib @ file:///home/conda/feedstock_root/build_artifacts/joblib_1663332044897/work
keras==2.9.0
Keras-Preprocessing==1.1.2
kiwisolver @ file:///C:/b/abs_88mdhvtahm/croot/kiwisolver_1672387921783/work
libclang==14.0.6
Markdown==3.4.1
MarkupSafe==2.1.1
matplotlib @ file:///C:/ci/matplotlib-suite_1660169687702/work
mkl-fft==1.3.1
mkl-random @ file:///C:/ci/mkl_random_1626186184308/work
mkl-service==2.4.0
munkres==1.1.4
numexpr @ file:///C:/b/abs_a7kbak88hk/croot/numexpr_1668713882979/work
numpy @ file:///C:/b/abs_datssh7cer/croot/numpy_and_numpy_base_1672336199388/work
nvidia-ml-py==11.515.48
oauthlib==3.2.0
opencv-python==4.6.0.66
opt-einsum==3.3.0
packaging @ file:///C:/b/abs_cfsup8ur87/croot/packaging_1671697442297/work
Pillow==9.3.0
ply==3.11
protobuf==3.19.4
psutil @ file:///C:/Windows/Temp/abs_b2c2fd7f-9fd5-4756-95ea-8aed74d0039flsd9qufz/croots/recipe/psutil_1656431277748/work
pyasn1==0.4.8
pyasn1-modules==0.2.8
pyparsing @ file:///C:/Users/BUILDE~1/AppData/Local/Temp/abs_7f_7lba6rl/croots/recipe/pyparsing_1661452540662/work
PyQt5==5.15.7
PyQt5-sip @ file:///C:/Windows/Temp/abs_d7gmd2jg8i/croots/recipe/pyqt-split_1659273064801/work/pyqt_sip
python-dateutil @ file:///tmp/build/80754af9/python-dateutil_1626374649649/work
pywin32==305.1
pywinpty @ file:///C:/ci_310/pywinpty_1644230983541/work/target/wheels/pywinpty-2.0.2-cp39-none-win_amd64.whl
requests-oauthlib==1.3.1
rsa==4.9
scikit-learn @ file:///D:/bld/scikit-learn_1659726281030/work
scipy @ file:///C:/bld/scipy_1658811088396/work
sip @ file:///C:/Windows/Temp/abs_b8fxd17m2u/croots/recipe/sip_1659012372737/work
six @ file:///tmp/build/80754af9/six_1644875935023/work
tensorboard==2.9.1
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.1
tensorflow-estimator==2.9.0
tensorflow-gpu==2.9.1
tensorflow-io-gcs-filesystem==0.26.0
tensorflow-probability @ file:///tmp/build/80754af9/tensorflow-probability_1633017132682/work
termcolor==1.1.0
threadpoolctl @ file:///home/conda/feedstock_root/build_artifacts/threadpoolctl_1643647933166/work
toml @ file:///tmp/build/80754af9/toml_1616166611790/work
tornado @ file:///C:/ci/tornado_1662458743919/work
tqdm @ file:///C:/b/abs_0axbz66qik/croots/recipe/tqdm_1664392691071/work
typing_extensions @ file:///C:/b/abs_89eui86zuq/croot/typing_extensions_1669923792806/work
Werkzeug==2.2.2
wincertstore==0.2
wrapt==1.14.1
zipp==3.8.1
============== Conda Packages ==============
# packages in environment at C:\Users\dkroker\MiniConda3\envs\faceswap:
#
# Name Version Build Channel
absl-py 1.3.0 py39haa95532_0
blas 1.0 mkl
brotli 1.0.9 h2bbff1b_7
brotli-bin 1.0.9 h2bbff1b_7
ca-certificates 2023.01.10 haa95532_0
certifi 2022.12.7 py39haa95532_0
cloudpickle 2.0.0 pyhd3eb1b0_0
colorama 0.4.6 py39haa95532_0
cycler 0.11.0 pyhd3eb1b0_0
decorator 5.1.1 pyhd3eb1b0_0
dm-tree 0.1.7 py39hd77b12b_1
fastcluster 1.2.6 py39h2e25243_1 conda-forge
ffmpeg 4.3.1 ha925a31_0 conda-forge
flit-core 3.6.0 pyhd3eb1b0_0
fonttools 4.25.0 pyhd3eb1b0_0
freetype 2.12.1 ha860e81_0
gast 0.5.3 pyhd3eb1b0_0
git 2.34.1 haa95532_0
glib 2.69.1 h5dc1a3c_2
gst-plugins-base 1.18.5 h9e645db_0
gstreamer 1.18.5 hd78058f_0
icu 58.2 ha925a31_3
imageio 2.19.3 py39haa95532_0
imageio-ffmpeg 0.4.8 pyhd8ed1ab_0 conda-forge
intel-openmp 2021.4.0 haa95532_3556
joblib 1.2.0 pyhd8ed1ab_0 conda-forge
jpeg 9e h2bbff1b_0
kiwisolver 1.4.4 py39hd77b12b_0
lerc 3.0 hd77b12b_0
libblas 3.9.0 1_h8933c1f_netlib conda-forge
libbrotlicommon 1.0.9 h2bbff1b_7
libbrotlidec 1.0.9 h2bbff1b_7
libbrotlienc 1.0.9 h2bbff1b_7
libcblas 3.9.0 5_hd5c7e75_netlib conda-forge
libclang 12.0.0 default_h627e005_2
libdeflate 1.8 h2bbff1b_5
libffi 3.4.2 hd77b12b_6
libiconv 1.16 h2bbff1b_2
liblapack 3.9.0 5_hd5c7e75_netlib conda-forge
libogg 1.3.5 h2bbff1b_1
libpng 1.6.37 h2a8f88b_0
libtiff 4.5.0 h8a3f274_0
libvorbis 1.3.7 he774522_0
libwebp 1.2.4 h2bbff1b_0
libwebp-base 1.2.4 h2bbff1b_0
libxml2 2.9.14 h0ad7f3c_0
libxslt 1.1.35 h2bbff1b_0
lz4-c 1.9.4 h2bbff1b_0
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
matplotlib 3.5.2 py39haa95532_0
matplotlib-base 3.5.2 py39hd77b12b_0
mkl 2021.4.0 haa95532_640
mkl-service 2.4.0 py39h2bbff1b_0
mkl_fft 1.3.1 py39h277e83a_0
mkl_random 1.2.2 py39hf11a4ad_0
msys2-conda-epoch 20160418 1 conda-forge
munkres 1.1.4 py_0
numexpr 2.8.4 py39h5b0cc5e_0
numpy 1.23.5 py39h3b20f71_0
numpy-base 1.23.5 py39h4da318b_0
openssl 1.1.1s h2bbff1b_0
packaging 22.0 py39haa95532_0
pcre 8.45 hd77b12b_0
pillow 9.3.0 py39hdc2b20a_1
pip 22.3.1 py39haa95532_0
ply 3.11 py39haa95532_0
psutil 5.9.0 py39h2bbff1b_0
pyparsing 3.0.9 py39haa95532_0
pyqt 5.15.7 py39hd77b12b_0
pyqt5-sip 12.11.0 py39hd77b12b_0
python 3.9.16 h6244533_0
python-dateutil 2.8.2 pyhd3eb1b0_0
python_abi 3.9 2_cp39 conda-forge
pywin32 305 py39h2bbff1b_0
pywinpty 2.0.2 py39h5da7b33_0
qt-main 5.15.2 he8e5bd7_7
qt-webengine 5.15.9 hb9a9bb5_5
qtwebkit 5.212 h3ad3cdb_4
scikit-learn 1.1.2 py39hfd4428b_0 conda-forge
scipy 1.8.1 py39h5567194_2 conda-forge
setuptools 65.6.3 py39haa95532_0
sip 6.6.2 py39hd77b12b_0
six 1.16.0 pyhd3eb1b0_1
sqlite 3.40.1 h2bbff1b_0
tensorflow-probability 0.14.0 pyhd3eb1b0_0
threadpoolctl 3.1.0 pyh8a188c0_0 conda-forge
tk 8.6.12 h2bbff1b_0
toml 0.10.2 pyhd3eb1b0_0
tornado 6.2 py39h2bbff1b_0
tqdm 4.64.1 py39haa95532_0
typing-extensions 4.4.0 py39haa95532_0
typing_extensions 4.4.0 py39haa95532_0
tzdata 2022g h04d1e81_0
vc 14.2 h21ff451_1
vs2015_runtime 14.27.29016 h5e58377_2
wheel 0.37.1 pyhd3eb1b0_0
wincertstore 0.2 py39haa95532_2
winpty 0.4.3 4
xz 5.2.10 h8cc25b3_1
zlib 1.2.13 h8cc25b3_0
zstd 1.5.2 h19a0ad4_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.mask_blend]
type: gaussian
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: gaussian
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
separate_mask: False
jpg_quality: 75
png_compress_level: 3
[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
--------- 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
[align.fan]
batch-size: 12
[detect.cv2_dnn]
confidence: 50
[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
[mask.bisenet_fp]
batch-size: 8
cpu: False
weights: faceswap
include_ears: False
include_hair: False
include_glasses: True
[mask.custom]
batch-size: 8
centering: face
fill: False
[mask.unet_dfl]
batch-size: 8
[mask.vgg_clear]
batch-size: 6
[mask.vgg_obstructed]
batch-size: 2
[recognition.vgg_face2]
batch-size: 16
cpu: False
--------- 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]
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
[model.dfaker]
output_size: 128
[model.dfl_h128]
lowmem: False
[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.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
[model.realface]
input_size: 64
output_size: 128
dense_nodes: 1536
complexity_encoder: 128
complexity_decoder: 512
[model.unbalanced]
input_size: 128
lowmem: False
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