Why is extraction slow

Want to know about the Faceswap's Face Extraction process? Got tips, ideas or just want to learn about how it all works? Then this is the place for you


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m63649494
Posts: 1
Joined: Sun Jun 26, 2022 2:34 am

Why is extraction slow

Post by m63649494 »

currently 2-3 it/s

Code: Select all

============ System Information ============
encoding:            cp936
git_branch:          master
git_commits:         c279ac3 Disable saving optimizer state option
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 RTX 2070
gpu_devices_active:  GPU_0
gpu_driver:          512.28
gpu_vram:            GPU_0: 8192MB
os_machine:          AMD64
os_platform:         Windows-10-10.0.19043-SP0
os_release:          10
py_command:          h:\faceswap/faceswap.py gui
py_conda_version:    conda 4.13.0
py_implementation:   CPython
py_version:          3.9.12
py_virtual_env:      True
sys_cores:           12
sys_processor:       AMD64 Family 23 Model 113 Stepping 0, AuthenticAMD
sys_ram:             Total: 16280MB, Available: 6907MB, Used: 9373MB, Free: 6907MB

=============== Pip Packages ===============
absl-py==1.1.0
astunparse==1.6.3
cachetools==5.2.0
certifi==2022.6.15
charset-normalizer==2.0.12
cloudpickle==2.1.0
colorama @ file:///tmp/build/80754af9/colorama_1607707115595/work
cycler @ file:///tmp/build/80754af9/cycler_1637851556182/work
decorator==5.1.1
dm-tree==0.1.7
fastcluster @ file:///D:/bld/fastcluster_1649783471014/work
ffmpy==0.2.3
flatbuffers==2.0
fonttools==4.25.0
gast==0.5.3
google-auth==2.8.0
google-auth-oauthlib==0.4.6
google-pasta==0.2.0
grpcio==1.47.0
h5py==3.7.0
idna==3.3
imageio @ file:///tmp/build/80754af9/imageio_1617700267927/work
imageio-ffmpeg @ file:///home/conda/feedstock_root/build_artifacts/imageio-ffmpeg_1649960641006/work
importlib-metadata==4.12.0
joblib @ file:///tmp/build/80754af9/joblib_1635411271373/work
keras==2.8.0
Keras-Preprocessing==1.1.2
kiwisolver @ file:///C:/ci/kiwisolver_1653292407425/work
libclang==14.0.1
Markdown==3.3.7
matplotlib @ file:///C:/ci/matplotlib-suite_1647423638658/work
mkl-fft==1.3.1
mkl-random @ file:///C:/ci/mkl_random_1626186184308/work
mkl-service==2.4.0
munkres==1.1.4
numpy @ file:///C:/ci/numpy_and_numpy_base_1652784039997/work
nvidia-ml-py==11.510.69
oauthlib==3.2.0
opencv-python==4.6.0.66
opt-einsum==3.3.0
packaging @ file:///tmp/build/80754af9/packaging_1637314298585/work
Pillow==9.0.1
protobuf==3.19.4
psutil @ file:///C:/ci/psutil_1612298199233/work
pyasn1==0.4.8
pyasn1-modules==0.2.8
pyparsing @ file:///tmp/build/80754af9/pyparsing_1635766073266/work
python-dateutil @ file:///tmp/build/80754af9/python-dateutil_1626374649649/work
pywin32==302
requests==2.28.0
requests-oauthlib==1.3.1
rsa==4.8
scikit-learn @ file:///C:/ci/scikit-learn_1642617276183/work
scipy @ file:///C:/ci/scipy_1641555170412/work
sip==4.19.13
six @ file:///tmp/build/80754af9/six_1644875935023/work
tensorboard==2.8.0
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.1
tensorflow-estimator==2.8.0
tensorflow-gpu==2.8.2
tensorflow-io-gcs-filesystem==0.26.0
tensorflow-probability==0.16.0
termcolor==1.1.0
threadpoolctl @ file:///Users/ktietz/demo/mc3/conda-bld/threadpoolctl_1629802263681/work
tornado @ file:///C:/ci/tornado_1606924294691/work
tqdm @ file:///C:/ci/tqdm_1650636210717/work
typing_extensions @ file:///opt/conda/conda-bld/typing_extensions_1647553014482/work
urllib3==1.26.9
Werkzeug==2.1.2
wincertstore==0.2
wrapt==1.14.1
zipp==3.8.0

============== Conda Packages ==============
# packages in environment at D:\Anaconda3\envs\faceswap:
#
# Name                    Version                   Build  Channel
absl-py                   1.1.0                    pypi_0    pypi
astunparse                1.6.3                    pypi_0    pypi
blas                      1.0                         mkl  
brotli 1.0.9 ha925a31_2
ca-certificates 2022.6.15 h5b45459_0 conda-forge cachetools 5.2.0 pypi_0 pypi certifi 2022.6.15 py39hcbf5309_0 conda-forge charset-normalizer 2.0.12 pypi_0 pypi cloudpickle 2.1.0 pypi_0 pypi colorama 0.4.4 pyhd3eb1b0_0
cudatoolkit 11.2.2 h933977f_10 conda-forge cudnn 8.1.0.77 h3e0f4f4_0 conda-forge cycler 0.11.0 pyhd3eb1b0_0
decorator 5.1.1 pypi_0 pypi dm-tree 0.1.7 pypi_0 pypi fastcluster 1.2.6 py39h2e25243_1 conda-forge ffmpeg 4.3.1 ha925a31_0 conda-forge ffmpy 0.2.3 pypi_0 pypi flatbuffers 2.0 pypi_0 pypi fonttools 4.25.0 pyhd3eb1b0_0
freetype 2.10.4 hd328e21_0
gast 0.5.3 pypi_0 pypi git 2.34.1 haa95532_0
google-auth 2.8.0 pypi_0 pypi google-auth-oauthlib 0.4.6 pypi_0 pypi google-pasta 0.2.0 pypi_0 pypi grpcio 1.47.0 pypi_0 pypi h5py 3.7.0 pypi_0 pypi icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha925a31_3
idna 3.3 pypi_0 pypi imageio 2.9.0 pyhd3eb1b0_0
imageio-ffmpeg 0.4.7 pyhd8ed1ab_0 conda-forge importlib-metadata 4.12.0 pypi_0 pypi intel-openmp 2021.4.0 haa95532_3556
joblib 1.1.0 pyhd3eb1b0_0
jpeg 9e h2bbff1b_0
keras 2.8.0 pypi_0 pypi keras-preprocessing 1.1.2 pypi_0 pypi kiwisolver 1.4.2 py39hd77b12b_0
libclang 14.0.1 pypi_0 pypi libpng 1.6.37 h2a8f88b_0
libtiff 4.2.0 he0120a3_1
libwebp 1.2.2 h2bbff1b_0
lz4-c 1.9.3 h2bbff1b_1
markdown 3.3.7 pypi_0 pypi matplotlib 3.5.1 py39haa95532_1
matplotlib-base 3.5.1 py39hd77b12b_1
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
munkres 1.1.4 py_0
numpy 1.22.3 py39h7a0a035_0
numpy-base 1.22.3 py39hca35cd5_0
nvidia-ml-py 11.510.69 pypi_0 pypi oauthlib 3.2.0 pypi_0 pypi opencv-python 4.6.0.66 pypi_0 pypi openssl 1.1.1p h8ffe710_0 conda-forge opt-einsum 3.3.0 pypi_0 pypi packaging 21.3 pyhd3eb1b0_0
pillow 9.0.1 py39hdc2b20a_0
pip 21.2.4 py39haa95532_0
protobuf 3.19.4 pypi_0 pypi psutil 5.8.0 py39h2bbff1b_1
pyasn1 0.4.8 pypi_0 pypi pyasn1-modules 0.2.8 pypi_0 pypi pyparsing 3.0.4 pyhd3eb1b0_0
pyqt 5.9.2 py39hd77b12b_6
python 3.9.12 h6244533_0
python-dateutil 2.8.2 pyhd3eb1b0_0
python_abi 3.9 2_cp39 conda-forge pywin32 302 py39h2bbff1b_2
qt 5.9.7 vc14h73c81de_0
requests 2.28.0 pypi_0 pypi requests-oauthlib 1.3.1 pypi_0 pypi rsa 4.8 pypi_0 pypi scikit-learn 1.0.2 py39hf11a4ad_1
scipy 1.7.3 py39h0a974cb_0
setuptools 61.2.0 py39haa95532_0
sip 4.19.13 py39hd77b12b_0
six 1.16.0 pyhd3eb1b0_1
sqlite 3.38.5 h2bbff1b_0
tensorboard 2.8.0 pypi_0 pypi tensorboard-data-server 0.6.1 pypi_0 pypi tensorboard-plugin-wit 1.8.1 pypi_0 pypi tensorflow-estimator 2.8.0 pypi_0 pypi tensorflow-gpu 2.8.2 pypi_0 pypi tensorflow-io-gcs-filesystem 0.26.0 pypi_0 pypi tensorflow-probability 0.16.0 pypi_0 pypi termcolor 1.1.0 pypi_0 pypi threadpoolctl 2.2.0 pyh0d69192_0
tk 8.6.12 h2bbff1b_0
tornado 6.1 py39h2bbff1b_0
tqdm 4.64.0 py39haa95532_0
typing-extensions 4.1.1 hd3eb1b0_0
typing_extensions 4.1.1 pyh06a4308_0
tzdata 2022a hda174b7_0
urllib3 1.26.9 pypi_0 pypi vc 14.2 h21ff451_1
vs2015_runtime 14.27.29016 h5e58377_2
werkzeug 2.1.2 pypi_0 pypi wheel 0.37.1 pyhd3eb1b0_0
wincertstore 0.2 py39haa95532_2
wrapt 1.14.1 pypi_0 pypi xz 5.2.5 h8cc25b3_1
zipp 3.8.0 pypi_0 pypi zlib 1.2.12 h8cc25b3_2
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: normalized 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: 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 scalefactor: 0.709 batch-size: 8 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 weights: faceswap include_ears: False include_hair: False include_glasses: True [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] 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

User avatar
torzdf
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Joined: Fri Jul 12, 2019 12:53 am
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Re: Why is extraction slow

Post by torzdf »

Without knowing the exact command you are running, the quality/size of the source video or how many faces are in each frame it's impossible to know. All of these things will impact extraction speed in some way.

The biggest things you have control of is how many plugins you are running at the same time, and what you have re-feed set to.

My word is final


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