Training graphics with a lot of lines.

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tokafondo
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Training graphics with a lot of lines.

Post by tokafondo »

I've seen graphics from others with just two or four lines but this?

Thanks for answers.

face_a_0 - face_a_1 - face_a_2_20201218_083450.jpg
face_a_0 - face_a_1 - face_a_2_20201218_083450.jpg (236.31 KiB) Viewed 1511 times
face_b_0 - face_b_1 - face_b_2_20201218_083451.jpg
face_b_0 - face_b_1 - face_b_2_20201218_083451.jpg (149.55 KiB) Viewed 1511 times
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torzdf
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Re: Training graphics with a lot of lines.

Post by torzdf »

Not sure what the 3rd group is....

Can you please post the output of your system info:

GUI Users: Go to Help -> Output system information

CLI Users: From inside your virtual environment, inside your faceswap folder, run:

Code: Select all

python -c "from lib.sysinfo import sysinfo ;  print(sysinfo)"

My word is final

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tokafondo
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Re: Training graphics with a lot of lines.

Post by tokafondo »

Code: Select all

[mono]
============ System Information ============
encoding:            UTF-8
git_branch:          Not Found
git_commits:         Not Found
gpu_cuda:            10.1
gpu_cudnn:           No global version found. Check Conda packages for Conda cuDNN
gpu_devices:         GPU_0: GeForce GTX 1070
gpu_devices_active:  GPU_0
gpu_driver:          455.38
gpu_vram:            GPU_0: 8119MB
os_machine:          x86_64
os_platform:         Linux-5.4.0-52-generic-x86_64-with-glibc2.10
os_release:          5.4.0-52-generic
py_command:          /home/yo/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:           4
sys_processor:       x86_64
sys_ram:             Total: 15718MB, Available: 11157MB, Used: 4089MB, Free: 1875MB

=============== Pip Packages ===============
absl-py @ file:///tmp/build/80754af9/absl-py_1607439979954/work
astunparse==1.6.3
blinker==1.4
brotlipy==0.7.0
cachetools==4.2.0
certifi==2020.12.5
cffi @ file:///tmp/build/80754af9/cffi_1606255081583/work
chardet @ file:///tmp/build/80754af9/chardet_1605303185383/work
click==7.1.2
cryptography @ file:///tmp/build/80754af9/cryptography_1607635341180/work
cycler==0.10.0
fastcluster==1.1.26
ffmpy==0.2.3
flatbuffers==1.12
gast==0.3.3
google-auth==1.24.0
google-auth-oauthlib==0.4.2
google-pasta==0.2.0
grpcio==1.32.0
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_1589202782679/work
importlib-metadata @ file:///tmp/build/80754af9/importlib-metadata_1602276842396/work
joblib @ file:///tmp/build/80754af9/joblib_1601912903842/work
Keras-Preprocessing==1.1.2
kiwisolver @ file:///tmp/build/80754af9/kiwisolver_1604014535162/work
lxml==4.5.2
Markdown==3.3.3
matplotlib @ file:///tmp/build/80754af9/matplotlib-base_1592846008246/work
mkl-fft==1.2.0
mkl-random==1.1.1
mkl-service==2.3.0
numexpr==2.7.1
numpy==1.19.4
nvidia-ml-py3 @ git+https://github.com/deepfakes/nvidia-ml-py3.git@6fc29ac84b32bad877f078cb4a777c1548a00bf6
oauthlib==3.1.0
olefile==0.46
opencv-python==4.4.0.46
opt-einsum==3.3.0
pathlib==1.0.1
pbr==5.5.1
pikepdf==1.19.0
Pillow @ file:///tmp/build/80754af9/pillow_1603822255246/work
protobuf==3.14.0
psutil @ file:///tmp/build/80754af9/psutil_1598370257551/work
pyasn1==0.4.8
pyasn1-modules==0.2.8
pycparser @ file:///tmp/build/80754af9/pycparser_1594388511720/work
PyJWT==1.7.1
pyOpenSSL @ file:///tmp/build/80754af9/pyopenssl_1606517880428/work
pyparsing==2.4.7
PySocks @ file:///tmp/build/80754af9/pysocks_1605305779399/work
python-dateutil==2.8.1
QtPy==1.9.0
requests @ file:///tmp/build/80754af9/requests_1606691187061/work
requests-oauthlib==1.3.0
rsa==4.6
scikit-learn @ file:///tmp/build/80754af9/scikit-learn_1598376899566/work
scipy @ file:///tmp/build/80754af9/scipy_1597686649129/work
sip==4.19.13
six==1.15.0
tables==3.6.1
tensorboard==2.4.0
tensorboard-plugin-wit==1.7.0
tensorflow==2.2.0
tensorflow-estimator==2.4.0
termcolor==1.1.0
threadpoolctl @ file:///tmp/tmp9twdgx9k/threadpoolctl-2.1.0-py3-none-any.whl
tornado @ file:///tmp/build/80754af9/tornado_1606942300299/work
tqdm==4.48.2
typing-extensions==3.7.4.3
urllib3 @ file:///tmp/build/80754af9/urllib3_1603305693037/work
ViTables==3.0.2
Werkzeug==1.0.1
wrapt==1.12.1
youtube-dl==2020.12.14
zipp @ file:///tmp/build/80754af9/zipp_1604001098328/work

============== Conda Packages ==============
# packages in environment at /home/yo/miniconda3/envs/faceswap:
#
# Name                    Version                   Build  Channel
_libgcc_mutex             0.1                        main  
_tflow_select 2.1.0 gpu
absl-py 0.11.0 pyhd3eb1b0_1
astunparse 1.6.3 py_0
blas 1.0 mkl
blinker 1.4 py38_0
brotlipy 0.7.0 py38h27cfd23_1003
bzip2 1.0.8 h516909a_3 conda-forge c-ares 1.17.1 h27cfd23_0
ca-certificates 2020.12.8 h06a4308_0
cachetools 4.2.0 pyhd3eb1b0_0
certifi 2020.12.5 py38h06a4308_0
cffi 1.14.4 py38h261ae71_0
chardet 3.0.4 py38h06a4308_1003
click 7.1.2 py_0
cryptography 3.3.1 py38h3c74f83_0
cudatoolkit 10.1.243 h6bb024c_0
cudnn 7.6.5 cuda10.1_0
cupti 10.1.168 0
cycler 0.10.0 py38_0
dbus 1.13.18 hb2f20db_0
expat 2.2.10 he6710b0_2
fastcluster 1.1.26 py38hc5bc63f_2 conda-forge ffmpeg 4.3.1 h3215721_1 conda-forge ffmpy 0.2.3 pypi_0 pypi fontconfig 2.13.0 h9420a91_0
freetype 2.10.4 h5ab3b9f_0
gast 0.3.3 py_0
git 2.23.0 pl526hacde149_0
glib 2.66.1 h92f7085_0
gmp 6.2.1 h58526e2_0 conda-forge gnutls 3.6.13 h85f3911_1 conda-forge google-auth 1.21.3 py_0
google-auth-oauthlib 0.4.2 pyhd3eb1b0_2
google-pasta 0.2.0 py_0
grpcio 1.31.0 py38hf8bcb03_0
gst-plugins-base 1.14.0 hbbd80ab_1
gstreamer 1.14.0 hb31296c_0
h5py 2.10.0 py38hd6299e0_1
hdf5 1.10.6 hb1b8bf9_0
icu 58.2 he6710b0_3
idna 2.10 py_0
imageio 2.9.0 py_0
imageio-ffmpeg 0.4.2 py_0 conda-forge importlib-metadata 2.0.0 py_1
intel-openmp 2020.2 254
joblib 0.17.0 py_0
jpeg 9b h024ee3a_2
keras-preprocessing 1.1.0 py_1
kiwisolver 1.3.0 py38h2531618_0
krb5 1.18.2 h173b8e3_0
lame 3.100 h14c3975_1001 conda-forge lcms2 2.11 h396b838_0
ld_impl_linux-64 2.33.1 h53a641e_7
libcurl 7.71.1 h20c2e04_1
libedit 3.1.20191231 h14c3975_1
libffi 3.3 he6710b0_2
libgcc-ng 9.1.0 hdf63c60_0
libgfortran-ng 7.3.0 hdf63c60_0
libiconv 1.16 h516909a_0 conda-forge libpng 1.6.37 hbc83047_0
libprotobuf 3.13.0.1 hd408876_0
libssh2 1.9.0 h1ba5d50_1
libstdcxx-ng 9.1.0 hdf63c60_0
libtiff 4.1.0 h2733197_1
libuuid 1.0.3 h1bed415_2
libxcb 1.14 h7b6447c_0
libxml2 2.9.10 hb55368b_3
lz4-c 1.9.2 heb0550a_3
markdown 3.3.3 py38h06a4308_0
matplotlib 3.2.2 0
matplotlib-base 3.2.2 py38hef1b27d_0
mkl 2020.2 256
mkl-service 2.3.0 py38he904b0f_0
mkl_fft 1.2.0 py38h23d657b_0
mkl_random 1.1.1 py38h0573a6f_0
ncurses 6.2 he6710b0_1
nettle 3.6 he412f7d_0 conda-forge numpy 1.19.2 py38h54aff64_0
numpy-base 1.19.2 py38hfa32c7d_0
nvidia-ml-py3 7.352.1 pypi_0 pypi oauthlib 3.1.0 py_0
olefile 0.46 py_0
opencv-python 4.4.0.46 pypi_0 pypi openh264 2.1.1 h8b12597_0 conda-forge openssl 1.1.1i h27cfd23_0
opt_einsum 3.1.0 py_0
pathlib 1.0.1 py_1
pcre 8.44 he6710b0_0
perl 5.26.2 h14c3975_0
pillow 8.0.1 py38he98fc37_0
pip 20.3.1 py38h06a4308_0
protobuf 3.13.0.1 py38he6710b0_1
psutil 5.7.2 py38h7b6447c_0
pyasn1 0.4.8 py_0
pyasn1-modules 0.2.8 py_0
pycparser 2.20 py_2
pyjwt 1.7.1 py38_0
pyopenssl 20.0.0 pyhd3eb1b0_1
pyparsing 2.4.7 py_0
pyqt 5.9.2 py38h05f1152_4
pysocks 1.7.1 py38h06a4308_0
python 3.8.5 h7579374_1
python-dateutil 2.8.1 py_0
python_abi 3.8 1_cp38 conda-forge qt 5.9.7 h5867ecd_1
readline 8.0 h7b6447c_0
requests 2.25.0 pyhd3eb1b0_0
requests-oauthlib 1.3.0 py_0
rsa 4.6 py_0
scikit-learn 0.23.2 py38h0573a6f_0
scipy 1.5.2 py38h0b6359f_0
setuptools 51.0.0 py38h06a4308_2
sip 4.19.13 py38he6710b0_0
six 1.15.0 py38h06a4308_0
sqlite 3.33.0 h62c20be_0
tensorboard 2.3.0 pyh4dce500_0
tensorboard-plugin-wit 1.6.0 py_0
tensorflow 2.2.0 gpu_py38hb782248_0
tensorflow-base 2.2.0 gpu_py38h83e3d50_0
tensorflow-estimator 2.2.0 pyh208ff02_0
tensorflow-gpu 2.2.0 h0d30ee6_0
termcolor 1.1.0 py38_1
threadpoolctl 2.1.0 pyh5ca1d4c_0
tk 8.6.10 hbc83047_0
tornado 6.1 py38h27cfd23_0
tqdm 4.54.1 pyhd3eb1b0_0
urllib3 1.25.11 py_0
werkzeug 1.0.1 py_0
wheel 0.36.1 pyhd3eb1b0_0
wrapt 1.12.1 py38h7b6447c_1
x264 1!152.20180806 h14c3975_0 conda-forge xz 5.2.5 h7b6447c_0
zipp 3.4.0 pyhd3eb1b0_0
zlib 1.2.11 h7b6447c_3
zstd 1.4.5 h9ceee32_0 ================= Configs ================== --------- extract.ini --------- [global] allow_growth: False [align.fan] batch-size: 12 [detect.mtcnn] minsize: 20 threshold_1: 0.6 threshold_2: 0.7 threshold_3: 0.7 scalefactor: 0.709 batch-size: 8 [detect.cv2_dnn] confidence: 50 [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 --------- train.ini --------- [global] coverage: 68.75 icnr_init: True conv_aware_init: True 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: extended mask_blur_kernel: 5 mask_threshold: 4 learn_mask: False [model.original] lowmem: False [model.realface] input_size: 128 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 [model.dlight] features: best details: good output_size: 256 [model.dfl_h128] lowmem: False [model.dfl_sae] input_size: 160 clipnorm: False architecture: liae autoencoder_dims: 384 encoder_dims: 42 decoder_dims: 21 multiscale_decoder: True [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 --------- .faceswap --------- backend: nvidia --------- convert.ini --------- [mask.box_blend] type: gaussian distance: 11.0 radius: 5.0 passes: 8 [mask.mask_blend] type: gaussian kernel_size: 5 passes: 8 threshold: 0 erosion: 0.0 [scaling.sharpen] method: None amount: 150 radius: 0.3 threshold: 5.0 [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 [writer.gif] fps: 25 loop: 0 palettesize: 256 subrectangles: False [writer.ffmpeg] container: mp4 codec: libx264 crf: 23 preset: medium tune: None profile: auto level: auto skip_mux: False [color.match_hist] threshold: 99.0 [color.manual_balance] colorspace: HSV balance_1: 0.0 balance_2: 0.0 balance_3: 0.0 contrast: 0.0 brightness: 0.0 [color.color_transfer] clip: True preserve_paper: True --------- gui.ini --------- [global] fullscreen: False tab: extract options_panel_width: 30 console_panel_height: 20 icon_size: 14 font: courier 10 pitch font_size: 9 autosave_last_session: prompt timeout: 120 auto_load_model_stats: True [/mono]
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