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alwaysasn
Posts: 3 Joined: Mon Jan 11, 2021 12:48 am
Post
by alwaysasn » Mon Jan 11, 2021 12:54 am
Hey all,
I wanted to surprise a friend of mine with a face swap of him on david bowie doing an interview.
I've put in around 24 hours of training and the faces still look very blurry.
I'm using a laptop with a 2-year-old mid-range i7 CPU and an MX150 with 2GB of Ram.
I already have the expectations of a slow train.
But I checked task manager and it looks like the GPU isn't really being used at all.
There is an exclude GPU button in the GUI, and hovering over it recognizes my card. But I left in unchecked since I, of course, want to use my GPU.
I'm in the lightweight training mode.
TL;DR
Any idea why my MX150 GPU isn't being utilized at all by the app?
Thanks all!
torzdf
Posts: 2670 Joined: Fri Jul 12, 2019 12:53 am
Answers: 159
Has thanked: 131 times
Been thanked: 625 times
Post
by torzdf » Mon Jan 11, 2021 11:55 am
That GPU may not have enough VRAM to train a model using the latest Faceswap.... however you should get out of memory errors, rather than the card not being used at all.
If you can provide the output of "Help > Show System Information" from the GUI, we should be able to see what the issue is.
alwaysasn
Posts: 3 Joined: Mon Jan 11, 2021 12:48 am
Post
by alwaysasn » Mon Jan 11, 2021 2:26 pm
Hey Thanks for the response. Here's the info:
Code: Select all
============ System Information ============
encoding: cp1252
git_branch: master
git_commits: 163b8fe sysinfo/setup - Standardize cuda/cudnn checks
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 MX150
gpu_devices_active: GPU_0
gpu_driver: 441.08
gpu_vram: GPU_0: 2048MB
os_machine: AMD64
os_platform: Windows-10-10.0.18362-SP0
os_release: 10
py_command: C:\Users\alway\faceswap/faceswap.py gui
py_conda_version: conda 4.9.2
py_implementation: CPython
py_version: 3.8.5
py_virtual_env: True
sys_cores: 8
sys_processor: Intel64 Family 6 Model 142 Stepping 10, GenuineIntel
sys_ram: Total: 16226MB, Available: 4738MB, Used: 11487MB, Free: 4738MB
=============== Pip Packages ===============
absl-py @ file:///tmp/build/80754af9/absl-py_1607439979954/work
aiohttp @ file:///C:/ci/aiohttp_1607109697839/work
astunparse==1.6.3
async-timeout==3.0.1
attrs @ file:///tmp/build/80754af9/attrs_1604765588209/work
blinker==1.4
brotlipy==0.7.0
cachetools @ file:///tmp/build/80754af9/cachetools_1607706694405/work
certifi==2020.12.5
cffi @ file:///C:/ci/cffi_1606255208697/work
chardet @ file:///C:/ci/chardet_1605303225733/work
click==7.1.2
cryptography==2.9.2
cycler==0.10.0
fastcluster==1.1.26
ffmpy==0.2.3
gast @ file:///tmp/build/80754af9/gast_1597433534803/work
google-auth @ file:///tmp/build/80754af9/google-auth_1607969906642/work
google-auth-oauthlib @ file:///tmp/build/80754af9/google-auth-oauthlib_1603929124518/work
google-pasta==0.2.0
grpcio @ file:///C:/ci/grpcio_1597406462198/work
h5py==2.10.0
idna @ file:///tmp/build/80754af9/idna_1593446292537/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-Applications @ file:///tmp/build/80754af9/keras-applications_1594366238411/work
Keras-Preprocessing==1.1.0
kiwisolver @ file:///C:/ci/kiwisolver_1604014703538/work
Markdown @ file:///C:/ci/markdown_1605111189761/work
matplotlib @ file:///C:/ci/matplotlib-base_1592837548929/work
mkl-fft==1.2.0
mkl-random==1.1.1
mkl-service==2.3.0
multidict @ file:///C:/ci/multidict_1600456481656/work
numpy @ file:///C:/ci/numpy_and_numpy_base_1603466732592/work
nvidia-ml-py3 @ git+https://github.com/deepfakes/nvidia-ml-py3.git@6fc29ac84b32bad877f078cb4a777c1548a00bf6
oauthlib==3.1.0
olefile==0.46
opencv-python==4.5.1.48
opt-einsum==3.1.0
pathlib==1.0.1
Pillow @ file:///C:/ci/pillow_1609786840597/work
protobuf==3.13.0
psutil @ file:///C:/ci/psutil_1598370330503/work
pyasn1==0.4.8
pyasn1-modules==0.2.8
pycparser @ file:///tmp/build/80754af9/pycparser_1594388511720/work
PyJWT @ file:///C:/ci/pyjwt_1608658192037/work
pyOpenSSL @ file:///tmp/build/80754af9/pyopenssl_1608057966937/work
pyparsing==2.4.7
pyreadline==2.1
PySocks @ file:///C:/ci/pysocks_1605287845585/work
python-dateutil==2.8.1
pywin32==227
requests @ file:///tmp/build/80754af9/requests_1608241421344/work
requests-oauthlib==1.3.0
rsa @ file:///tmp/build/80754af9/rsa_1596998415516/work
scikit-learn @ file:///C:/ci/scikit-learn_1598377018496/work
scipy @ file:///C:/ci/scipy_1604596260408/work
sip==4.19.13
six @ file:///C:/ci/six_1605187374963/work
tensorboard @ file:///home/builder/ktietz/conda/conda-bld/tensorboard_1604313476433/work/tmp_pip_dir
tensorboard-plugin-wit==1.6.0
tensorflow==2.3.0
tensorflow-estimator @ file:///tmp/build/80754af9/tensorflow-estimator_1599136169057/work/whl_temp/tensorflow_estimator-2.3.0-py2.py3-none-any.whl
termcolor==1.1.0
threadpoolctl @ file:///tmp/tmp9twdgx9k/threadpoolctl-2.1.0-py3-none-any.whl
tornado @ file:///C:/ci/tornado_1606942392901/work
tqdm @ file:///tmp/build/80754af9/tqdm_1609788246169/work
typing-extensions @ file:///tmp/build/80754af9/typing_extensions_1598376058250/work
urllib3 @ file:///tmp/build/80754af9/urllib3_1606938623459/work
Werkzeug==1.0.1
win-inet-pton @ file:///C:/ci/win_inet_pton_1605306167264/work
wincertstore==0.2
wrapt==1.12.1
yarl @ file:///C:/ci/yarl_1598045274898/work
zipp @ file:///tmp/build/80754af9/zipp_1604001098328/work
============== Conda Packages ==============
# packages in environment at C:\Users\alway\MiniConda3\envs\faceswap:
#
# Name Version Build Channel
_tflow_select 2.3.0 gpu
absl-py 0.11.0 pyhd3eb1b0_1
aiohttp 3.7.3 py38h2bbff1b_1
astunparse 1.6.3 py_0
async-timeout 3.0.1 py38_0
attrs 20.3.0 pyhd3eb1b0_0
blas 1.0 mkl
blinker 1.4 py38_0
brotlipy 0.7.0 py38h2bbff1b_1003
ca-certificates 2020.12.8 haa95532_0
cachetools 4.2.0 pyhd3eb1b0_0
certifi 2020.12.5 py38haa95532_0
cffi 1.14.4 py38hcd4344a_0
chardet 3.0.4 py38haa95532_1003
click 7.1.2 py_0
cryptography 2.9.2 py38h7a1dbc1_0
cudatoolkit 10.1.243 h74a9793_0
cudnn 7.6.5 cuda10.1_0
cycler 0.10.0 py38_0
fastcluster 1.1.26 py38h251f6bf_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 0.4.0 py_0
git 2.23.0 h6bb4b03_0
google-auth 1.24.0 pyhd3eb1b0_0
google-auth-oauthlib 0.4.2 pyhd3eb1b0_2
google-pasta 0.2.0 py_0
grpcio 1.31.0 py38he7da953_0
h5py 2.10.0 py38h5e291fa_0
hdf5 1.10.4 h7ebc959_0
icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha925a31_3
idna 2.10 py_0
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-applications 1.0.8 py_1
keras-preprocessing 1.1.0 py_1
kiwisolver 1.3.0 py38hd77b12b_0
libpng 1.6.37 h2a8f88b_0
libprotobuf 3.13.0.1 h200bbdf_0
libtiff 4.1.0 h56a325e_1
lz4-c 1.9.2 hf4a77e7_3
markdown 3.3.3 py38haa95532_0
matplotlib 3.2.2 0
matplotlib-base 3.2.2 py38h64f37c6_0
mkl 2020.2 256
mkl-service 2.3.0 py38h196d8e1_0
mkl_fft 1.2.0 py38h45dec08_0
mkl_random 1.1.1 py38h47e9c7a_0
multidict 4.7.6 py38he774522_1
numpy 1.19.2 py38hadc3359_0
numpy-base 1.19.2 py38ha3acd2a_0
nvidia-ml-py3 7.352.1 pypi_0 pypi
oauthlib 3.1.0 py_0
olefile 0.46 py_0
opencv-python 4.5.1.48 pypi_0 pypi
openssl 1.1.1i h2bbff1b_0
opt_einsum 3.1.0 py_0
pathlib 1.0.1 py_1
pillow 8.1.0 py38h4fa10fc_0
pip 20.3.3 py38haa95532_0
protobuf 3.13.0.1 py38ha925a31_1
psutil 5.7.2 py38he774522_0
pyasn1 0.4.8 py_0
pyasn1-modules 0.2.8 py_0
pycparser 2.20 py_2
pyjwt 2.0.0 py38haa95532_0
pyopenssl 20.0.1 pyhd3eb1b0_1
pyparsing 2.4.7 py_0
pyqt 5.9.2 py38ha925a31_4
pyreadline 2.1 py38_1
pysocks 1.7.1 py38haa95532_0
python 3.8.5 h5fd99cc_1
python-dateutil 2.8.1 py_0
python_abi 3.8 1_cp38 conda-forge
pywin32 227 py38he774522_1
qt 5.9.7 vc14h73c81de_0
requests 2.25.1 pyhd3eb1b0_0
requests-oauthlib 1.3.0 py_0
rsa 4.6 py_0
scikit-learn 0.23.2 py38h47e9c7a_0
scipy 1.5.2 py38h14eb087_0
setuptools 51.0.0 py38haa95532_2
sip 4.19.13 py38ha925a31_0
six 1.15.0 py38haa95532_0
sqlite 3.33.0 h2a8f88b_0
tensorboard 2.3.0 pyh4dce500_0
tensorboard-plugin-wit 1.6.0 py_0
tensorflow 2.3.0 mkl_py38h1fcfbd6_0
tensorflow-base 2.3.0 gpu_py38h7339f5a_0
tensorflow-estimator 2.3.0 pyheb71bc4_0
tensorflow-gpu 2.3.0 he13fc11_0
termcolor 1.1.0 py38_1
threadpoolctl 2.1.0 pyh5ca1d4c_0
tk 8.6.10 he774522_0
tornado 6.1 py38h2bbff1b_0
tqdm 4.55.1 pyhd3eb1b0_0
typing-extensions 3.7.4.3 0
typing_extensions 3.7.4.3 py_0
urllib3 1.26.2 pyhd3eb1b0_0
vc 14.2 h21ff451_1
vs2015_runtime 14.27.29016 h5e58377_2
werkzeug 1.0.1 py_0
wheel 0.36.2 pyhd3eb1b0_0
win_inet_pton 1.1.0 py38haa95532_0
wincertstore 0.2 py38_0
wrapt 1.12.1 py38he774522_1
xz 5.2.5 h62dcd97_0
yarl 1.5.1 py38he774522_0
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: none
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: always
timeout: 120
auto_load_model_stats: True
--------- train.ini ---------
[global]
centering: face
coverage: 68.75
icnr_init: False
conv_aware_init: False
optimizer: adam
learning_rate: 5e-05
reflect_padding: False
allow_growth: False
mixed_precision: False
convert_batchsize: 16
[global.loss]
loss_function: ssim
mask_loss_function: mse
l2_reg_term: 100
eye_multiplier: 3
mouth_multiplier: 2
penalized_mask_loss: True
mask_type: unet-dfl
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
clipnorm: True
architecture: df
autoencoder_dims: 0
encoder_dims: 42
decoder_dims: 21
multiscale_decoder: False
[model.dlight]
features: best
details: fast
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
disable_warp: False
color_lightness: 30
color_ab: 8
color_clahe_chance: 50
color_clahe_max_size: 4