KeyError: 'video_meta' while extracting training set
Posted: Wed Sep 28, 2022 2:32 pm
I followed the official extraction guide on linux and recieved this error:
Code: Select all
Traceback (most recent call last):
File "/home/hhwl/faceswap/lib/cli/launcher.py", line 217, in execute_script
process.process()
File "/home/hhwl/faceswap/tools/alignments/alignments.py", line 91, in process
job = job(self.alignments, self._args)
File "/home/hhwl/faceswap/tools/alignments/jobs_frames.py", line 196, in __init__
self._frames = Frames(arguments.frames_dir, self._get_count())
File "/home/hhwl/faceswap/tools/alignments/jobs_frames.py", line 237, in _get_count
meta = self._alignments.video_meta_data
File "/home/hhwl/faceswap/lib/align/alignments.py", line 193, in video_meta_data
if not self.data[key]["video_meta"]:
KeyError: 'video_meta'I have also symlinked /usr/lib/x86_64-linux-gnu/libstdc++.so.6 to ~/miniconda3/envs/faceswap/lib/libstdc++.so.6 because conda could not find version 'GLIBCXX_3.4.30', but I'm not sure if the error is caused by that.
Help > Output System Information:
Code: Select all
============ System Information ============
encoding: UTF-8
git_branch: Not Found
git_commits: Not Found
gpu_cuda: 11.5
gpu_cudnn: No global version found. Check Conda packages for Conda cuDNN
gpu_devices: GPU_0: NVIDIA GeForce RTX 3050 Laptop GPU
gpu_devices_active: GPU_0
gpu_driver: 515.65.01
gpu_vram: GPU_0: 4096MB
os_machine: x86_64
os_platform: Linux-5.19.0-76051900-generic-x86_64-with-glibc2.35
os_release: 5.19.0-76051900-generic
py_command: /home/hhwl/faceswap/faceswap.py gui
py_conda_version: conda 22.9.0
py_implementation: CPython
py_version: 3.9.13
py_virtual_env: True
sys_cores: 20
sys_processor: x86_64
sys_ram: Total: 15684MB, Available: 10126MB, Used: 3598MB, Free: 1734MB
=============== Pip Packages ===============
absl-py==1.2.0
astunparse==1.6.3
cachetools==5.2.0
certifi @ file:///opt/conda/conda-bld/certifi_1663615672595/work/certifi
charset-normalizer==2.1.1
cloudpickle @ file:///tmp/build/80754af9/cloudpickle_1632508026186/work
cycler @ file:///tmp/build/80754af9/cycler_1637851556182/work
decorator @ file:///opt/conda/conda-bld/decorator_1643638310831/work
dm-tree @ file:///tmp/build/80754af9/dm-tree_1633012073719/work
fastcluster @ file:///home/conda/feedstock_root/build_artifacts/fastcluster_1649783242764/work
ffmpy==0.3.0
flatbuffers==1.12
fonttools==4.25.0
gast @ file:///tmp/build/80754af9/gast_1637837472536/work
google-auth==2.11.1
google-auth-oauthlib==0.4.6
google-pasta==0.2.0
grpcio==1.49.1
h5py==3.7.0
idna==3.4
imageio @ file:///tmp/abs_cd920173-f360-47c5-97b0-bf4d1076d5d4dvic0oys/croots/recipe/imageio_1658785036907/work
imageio-ffmpeg @ file:///home/conda/feedstock_root/build_artifacts/imageio-ffmpeg_1649960641006/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:///opt/conda/conda-bld/kiwisolver_1653292039266/work
libclang==14.0.6
Markdown==3.4.1
MarkupSafe==2.1.1
matplotlib @ file:///opt/conda/conda-bld/matplotlib-suite_1660167928326/work
mkl-fft==1.3.1
mkl-random @ file:///tmp/build/80754af9/mkl_random_1626186066731/work
mkl-service==2.4.0
munkres==1.1.4
numexpr @ file:///opt/conda/conda-bld/numexpr_1656940300424/work
numpy @ file:///tmp/abs_653_j00fmm/croots/recipe/numpy_and_numpy_base_1659432701727/work
nvidia-ml-py==11.515.75
oauthlib==3.2.1
opencv-python==4.6.0.66
opt-einsum==3.3.0
packaging @ file:///tmp/build/80754af9/packaging_1637314298585/work
pexpect @ file:///tmp/build/80754af9/pexpect_1605563209008/work
Pillow==9.2.0
ply==3.11
protobuf==3.19.5
psutil @ file:///opt/conda/conda-bld/psutil_1656431268089/work
ptyprocess @ file:///tmp/build/80754af9/ptyprocess_1609355006118/work/dist/ptyprocess-0.7.0-py2.py3-none-any.whl
pyasn1==0.4.8
pyasn1-modules==0.2.8
pyparsing @ file:///opt/conda/conda-bld/pyparsing_1661452539315/work
PyQt5-sip==12.11.0
python-dateutil @ file:///tmp/build/80754af9/python-dateutil_1626374649649/work
requests==2.28.1
requests-oauthlib==1.3.1
rsa==4.9
scikit-learn @ file:///home/conda/feedstock_root/build_artifacts/scikit-learn_1652976687386/work
scipy @ file:///home/conda/feedstock_root/build_artifacts/scipy_1653073865807/work
sip @ file:///tmp/abs_44cd77b_pu/croots/recipe/sip_1659012365470/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==2.9.2
tensorflow-io-gcs-filesystem==0.27.0
tensorflow-probability @ file:///tmp/build/80754af9/tensorflow-probability_1633017132682/work
termcolor==2.0.1
threadpoolctl @ file:///home/conda/feedstock_root/build_artifacts/threadpoolctl_1643647933166/work
toml @ file:///tmp/build/80754af9/toml_1616166611790/work
tornado @ file:///opt/conda/conda-bld/tornado_1662061693373/work
tqdm @ file:///opt/conda/conda-bld/tqdm_1650891076910/work
typing_extensions @ file:///tmp/abs_ben9emwtky/croots/recipe/typing_extensions_1659638822008/work
urllib3==1.26.12
Werkzeug==2.2.2
wrapt==1.14.1
zipp==3.8.1
============== Conda Packages ==============
# packages in environment at /home/hhwl/miniconda3/envs/faceswap:
#
# Name Version Build Channel
_libgcc_mutex 0.1 main
_openmp_mutex 5.1 1_gnu
absl-py 1.2.0 pypi_0 pypi
astunparse 1.6.3 pypi_0 pypi
blas 1.0 mkl
brotli 1.0.9 h5eee18b_7
brotli-bin 1.0.9 h5eee18b_7
bzip2 1.0.8 h7b6447c_0
c-ares 1.18.1 h7f8727e_0
ca-certificates 2022.07.19 h06a4308_0
cachetools 5.2.0 pypi_0 pypi
certifi 2022.9.14 py39h06a4308_0
charset-normalizer 2.1.1 pypi_0 pypi
cloudpickle 2.0.0 pyhd3eb1b0_0
cudatoolkit 11.2.2 hbe64b41_10 conda-forge
cudnn 8.1.0.77 h90431f1_0 conda-forge
curl 7.84.0 h5eee18b_0
cycler 0.11.0 pyhd3eb1b0_0
dbus 1.13.18 hb2f20db_0
decorator 5.1.1 pyhd3eb1b0_0
dm-tree 0.1.5 py39h51133e4_0
expat 2.4.4 h295c915_0
fastcluster 1.2.6 py39h1832856_1 conda-forge
ffmpeg 4.3.2 hca11adc_0 conda-forge
ffmpy 0.3.0 pypi_0 pypi
flatbuffers 1.12 pypi_0 pypi
fontconfig 2.13.1 h6c09931_0
fonttools 4.25.0 pyhd3eb1b0_0
freetype 2.11.0 h70c0345_0
gast 0.4.0 pypi_0 pypi
gettext 0.21.0 hf68c758_0
giflib 5.2.1 h7b6447c_0
git 2.34.1 pl5262hc120c5b_0
glib 2.69.1 h4ff587b_1
gmp 6.2.1 h58526e2_0 conda-forge
gnutls 3.6.13 h85f3911_1 conda-forge
google-auth 2.11.1 pypi_0 pypi
google-auth-oauthlib 0.4.6 pypi_0 pypi
google-pasta 0.2.0 pypi_0 pypi
grpcio 1.49.1 pypi_0 pypi
gst-plugins-base 1.14.0 h8213a91_2
gstreamer 1.14.0 h28cd5cc_2
h5py 3.7.0 pypi_0 pypi
icu 58.2 he6710b0_3
idna 3.4 pypi_0 pypi
imageio 2.19.3 py39h06a4308_0
imageio-ffmpeg 0.4.7 pyhd8ed1ab_0 conda-forge
importlib-metadata 4.12.0 pypi_0 pypi
intel-openmp 2021.4.0 h06a4308_3561
joblib 1.2.0 pyhd8ed1ab_0 conda-forge
jpeg 9e h7f8727e_0
keras 2.9.0 pypi_0 pypi
keras-preprocessing 1.1.2 pypi_0 pypi
kiwisolver 1.4.2 py39h295c915_0
krb5 1.19.2 hac12032_0
lame 3.100 h7f98852_1001 conda-forge
lcms2 2.12 h3be6417_0
ld_impl_linux-64 2.38 h1181459_1
lerc 3.0 h295c915_0
libblas 3.9.0 12_linux64_mkl conda-forge
libbrotlicommon 1.0.9 h5eee18b_7
libbrotlidec 1.0.9 h5eee18b_7
libbrotlienc 1.0.9 h5eee18b_7
libcblas 3.9.0 12_linux64_mkl conda-forge
libclang 14.0.6 pypi_0 pypi
libcurl 7.84.0 h91b91d3_0
libdeflate 1.8 h7f8727e_5
libedit 3.1.20210910 h7f8727e_0
libev 4.33 h7f8727e_1
libevent 2.1.12 h8f2d780_0
libffi 3.3 he6710b0_2
libgcc 7.2.0 h69d50b8_2
libgcc-ng 11.2.0 h1234567_1
libgfortran-ng 12.1.0 h69a702a_16 conda-forge
libgfortran5 12.1.0 hdcd56e2_16 conda-forge
libgomp 11.2.0 h1234567_1
liblapack 3.9.0 12_linux64_mkl conda-forge
libllvm10 10.0.1 hbcb73fb_5
libnghttp2 1.46.0 hce63b2e_0
libpng 1.6.37 hbc83047_0
libpq 12.9 h16c4e8d_3
libssh2 1.10.0 h8f2d780_0
libstdcxx-ng 11.2.0 h1234567_1
libtiff 4.4.0 hecacb30_0
libuuid 1.0.3 h7f8727e_2
libwebp 1.2.2 h55f646e_0
libwebp-base 1.2.2 h7f8727e_0
libxcb 1.15 h7f8727e_0
libxkbcommon 1.0.1 hfa300c1_0
libxml2 2.9.14 h74e7548_0
libxslt 1.1.35 h4e12654_0
lz4-c 1.9.3 h295c915_1
markdown 3.4.1 pypi_0 pypi
markupsafe 2.1.1 pypi_0 pypi
matplotlib 3.5.2 py39h06a4308_0
matplotlib-base 3.5.2 py39hf590b9c_0
mkl 2021.4.0 h06a4308_640
mkl-service 2.4.0 py39h7f8727e_0
mkl_fft 1.3.1 py39hd3c417c_0
mkl_random 1.2.2 py39h51133e4_0
munkres 1.1.4 py_0
ncurses 6.3 h27087fc_1 conda-forge
nettle 3.6 he412f7d_0 conda-forge
nspr 4.33 h295c915_0
nss 3.74 h0370c37_0
numexpr 2.8.3 py39h807cd23_0
numpy 1.23.1 py39h6c91a56_0
numpy-base 1.23.1 py39ha15fc14_0
nvidia-ml-py 11.515.75 pypi_0 pypi
oauthlib 3.2.1 pypi_0 pypi
opencv-python 4.6.0.66 pypi_0 pypi
openh264 2.1.1 h4ff587b_0
openssl 1.1.1q h7f8727e_0
opt-einsum 3.3.0 pypi_0 pypi
packaging 21.3 pyhd3eb1b0_0
pcre 8.45 h295c915_0
pcre2 10.37 he7ceb23_1
perl 5.26.2 h14c3975_0
pexpect 4.8.0 pyhd3eb1b0_3
pillow 9.2.0 py39hace64e9_1
pip 22.1.2 py39h06a4308_0
ply 3.11 py39h06a4308_0
protobuf 3.19.5 pypi_0 pypi
psutil 5.9.0 py39h5eee18b_0
ptyprocess 0.7.0 pyhd3eb1b0_2
pyasn1 0.4.8 pypi_0 pypi
pyasn1-modules 0.2.8 pypi_0 pypi
pyparsing 3.0.9 py39h06a4308_0
pyqt 5.15.7 py39h6a678d5_1
pyqt5-sip 12.11.0 py39h6a678d5_1
python 3.9.13 haa1d7c7_1
python-dateutil 2.8.2 pyhd3eb1b0_0
python_abi 3.9 2_cp39 conda-forge
qt-main 5.15.2 h327a75a_7
qt-webengine 5.15.9 hd2b0992_4
qtwebkit 5.212 h4eab89a_4
readline 8.1.2 h7f8727e_1
requests 2.28.1 pypi_0 pypi
requests-oauthlib 1.3.1 pypi_0 pypi
rsa 4.9 pypi_0 pypi
scikit-learn 1.1.1 py39h4037b75_0 conda-forge
scipy 1.8.1 py39he49c0e8_0 conda-forge
setuptools 63.4.1 py39h06a4308_0
sip 6.6.2 py39h6a678d5_0
six 1.16.0 pyhd3eb1b0_1
sqlite 3.39.2 h5082296_0
tensorboard 2.9.1 pypi_0 pypi
tensorboard-data-server 0.6.1 pypi_0 pypi
tensorboard-plugin-wit 1.8.1 pypi_0 pypi
tensorflow-estimator 2.9.0 pypi_0 pypi
tensorflow-gpu 2.9.2 pypi_0 pypi
tensorflow-io-gcs-filesystem 0.27.0 pypi_0 pypi
tensorflow-probability 0.14.0 pyhd3eb1b0_0
termcolor 2.0.1 pypi_0 pypi
threadpoolctl 3.1.0 pyh8a188c0_0 conda-forge
tk 8.6.12 h1ccaba5_0
toml 0.10.2 pyhd3eb1b0_0
tornado 6.2 py39h5eee18b_0
tqdm 4.64.0 py39h06a4308_0
typing-extensions 4.3.0 py39h06a4308_0
typing_extensions 4.3.0 py39h06a4308_0
tzdata 2022c h04d1e81_0
urllib3 1.26.12 pypi_0 pypi
werkzeug 2.2.2 pypi_0 pypi
wheel 0.37.1 pyhd3eb1b0_0
wrapt 1.14.1 pypi_0 pypi
x264 1!161.3030 h7f98852_1 conda-forge
xz 5.2.5 h7f8727e_1
zipp 3.8.1 pypi_0 pypi
zlib 1.2.12 h5eee18b_3
zstd 1.5.2 ha4553b6_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
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: 15.0
save_filtered: False
[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
--------- 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
--------- gui.ini ---------
[global]
fullscreen: False
tab: extract
options_panel_width: 45
console_panel_height: 41
icon_size: 15
font: clearlyu
font_size: 12
autosave_last_session: prompt
timeout: 120
auto_load_model_stats: Truecrash_report.2022.09.28.094827774825.log:
Code: Select all
09/28/2022 09:48:26 MainProcess MainThread logger log_setup INFO Log level set to: INFO
09/28/2022 09:48:26 MainProcess MainThread _base _log DEBUG Initializing NvidiaStats
09/28/2022 09:48:26 MainProcess MainThread _base _log DEBUG Initializing PyNVML for Nvidia GPU.
09/28/2022 09:48:26 MainProcess MainThread _base _log DEBUG GPU Device count: 1
09/28/2022 09:48:26 MainProcess MainThread _base _log DEBUG Active GPU Devices: [0]
09/28/2022 09:48:26 MainProcess MainThread _base _log DEBUG GPU Handles found: 1
09/28/2022 09:48:26 MainProcess MainThread _base _log DEBUG GPU Driver: 515.65.01
09/28/2022 09:48:26 MainProcess MainThread _base _log DEBUG GPU Devices: ['NVIDIA GeForce RTX 3050 Laptop GPU']
09/28/2022 09:48:26 MainProcess MainThread _base _log DEBUG GPU VRAM: [4096.0]
09/28/2022 09:48:26 MainProcess MainThread _base _log DEBUG GPU VRAM free: [3907.875]
09/28/2022 09:48:26 MainProcess MainThread _base _log DEBUG Shutting down NVML
09/28/2022 09:48:26 MainProcess MainThread _base _log DEBUG Initialized NvidiaStats
09/28/2022 09:48:26 MainProcess MainThread launcher _configure_backend DEBUG Executing: alignments. PID: 74273
09/28/2022 09:48:27 MainProcess MainThread tpu_cluster_resolver <module> DEBUG Falling back to TensorFlow client; we recommended you install the Cloud TPU client directly with pip install cloud-tpu-client.
09/28/2022 09:48:27 MainProcess MainThread __init__ <module> DEBUG Creating converter from 7 to 5
09/28/2022 09:48:27 MainProcess MainThread __init__ <module> DEBUG Creating converter from 5 to 7
09/28/2022 09:48:27 MainProcess MainThread __init__ <module> DEBUG Creating converter from 7 to 5
09/28/2022 09:48:27 MainProcess MainThread __init__ <module> DEBUG Creating converter from 5 to 7
09/28/2022 09:48:27 MainProcess MainThread launcher _test_for_tf_version DEBUG Installed Tensorflow Version: 2.9
09/28/2022 09:48:27 MainProcess MainThread queue_manager __init__ DEBUG Initializing _QueueManager
09/28/2022 09:48:27 MainProcess MainThread queue_manager __init__ DEBUG Initialized _QueueManager
09/28/2022 09:48:27 MainProcess MainThread alignments __init__ DEBUG Initializing Alignments: (arguments: 'Namespace(func=<bound method ScriptExecutor.execute_script of <lib.cli.launcher.ScriptExecutor object at 0x7fe560c00af0>>, exclude_gpus=None, configfile=None, loglevel='INFO', logfile=None, redirect_gui=True, colab=False, job='extract', output='console', alignments_file='/home/hhwl/Downloads/dataset/super idol_alignments.fsa', faces_dir='/home/hhwl/Downloads/dataset/idol_train', frames_dir='/home/hhwl/Downloads/dataset/super idol.webm', extract_every_n=1, size=512, min_size=0)'
09/28/2022 09:48:27 MainProcess MainThread media __init__ DEBUG Initializing AlignmentData: (alignments file: '/home/hhwl/Downloads/dataset/super idol_alignments.fsa')
09/28/2022 09:48:27 MainProcess MainThread media __init__ INFO [ALIGNMENT DATA]
09/28/2022 09:48:27 MainProcess MainThread media check_file_exists VERBOSE Alignments file exists at '/home/hhwl/Downloads/dataset/super idol_alignments.fsa'
09/28/2022 09:48:27 MainProcess MainThread alignments __init__ DEBUG Initializing AlignmentData: (folder: '/home/hhwl/Downloads/dataset', filename: 'super idol_alignments.fsa')
09/28/2022 09:48:27 MainProcess MainThread alignments __init__ DEBUG Initializing _IO: (alignments: <tools.alignments.media.AlignmentData object at 0x7fe55f42d9a0>)
09/28/2022 09:48:27 MainProcess MainThread serializer get_serializer DEBUG <lib.serializer._PickleSerializer object at 0x7fe523648ca0>
09/28/2022 09:48:27 MainProcess MainThread serializer get_serializer DEBUG <lib.serializer._CompressedSerializer object at 0x7fe560bd00d0>
09/28/2022 09:48:27 MainProcess MainThread alignments _get_location DEBUG Getting location: (folder: '/home/hhwl/Downloads/dataset', filename: 'super idol_alignments.fsa')
09/28/2022 09:48:27 MainProcess MainThread alignments _get_location DEBUG Valid Alignments filename provided: 'super idol_alignments.fsa'
09/28/2022 09:48:27 MainProcess MainThread alignments _get_location VERBOSE Alignments filepath: '/home/hhwl/Downloads/dataset/super idol_alignments.fsa'
09/28/2022 09:48:27 MainProcess MainThread alignments load DEBUG Loading alignments
09/28/2022 09:48:27 MainProcess MainThread alignments load INFO Reading alignments from: '/home/hhwl/Downloads/dataset/super idol_alignments.fsa'
09/28/2022 09:48:27 MainProcess MainThread serializer load DEBUG filename: /home/hhwl/Downloads/dataset/super idol_alignments.fsa
09/28/2022 09:48:27 MainProcess MainThread serializer load DEBUG stored data type: <class 'bytes'>
09/28/2022 09:48:27 MainProcess MainThread serializer unmarshal DEBUG data type: <class 'bytes'>
09/28/2022 09:48:27 MainProcess MainThread serializer unmarshal DEBUG returned data type: <class 'dict'>
09/28/2022 09:48:27 MainProcess MainThread serializer load DEBUG data type: <class 'dict'>
09/28/2022 09:48:27 MainProcess MainThread alignments load DEBUG Loaded alignments
09/28/2022 09:48:27 MainProcess MainThread alignments _test DEBUG checking _FileStructure
09/28/2022 09:48:27 MainProcess MainThread alignments _test DEBUG legacy _FileStructure: False
09/28/2022 09:48:27 MainProcess MainThread alignments _test DEBUG checking _LandmarkRename
09/28/2022 09:48:27 MainProcess MainThread alignments _test DEBUG legacy _LandmarkRename: False
09/28/2022 09:48:27 MainProcess MainThread alignments _test DEBUG checking _ListToNumpy
09/28/2022 09:48:27 MainProcess MainThread alignments _test DEBUG legacy _ListToNumpy: False
09/28/2022 09:48:27 MainProcess MainThread alignments _test DEBUG checking _MaskCentering
09/28/2022 09:48:27 MainProcess MainThread alignments _test DEBUG legacy _MaskCentering: False
09/28/2022 09:48:27 MainProcess MainThread alignments _test DEBUG checking _IdentityAndVideoMeta
09/28/2022 09:48:27 MainProcess MainThread alignments _test DEBUG legacy _IdentityAndVideoMeta: False
09/28/2022 09:48:27 MainProcess MainThread alignments __init__ DEBUG Initializing Thumbnails: (alignments: <tools.alignments.media.AlignmentData object at 0x7fe55f42d9a0>)
09/28/2022 09:48:27 MainProcess MainThread alignments __init__ DEBUG Initialized Thumbnails
09/28/2022 09:48:27 MainProcess MainThread alignments __init__ DEBUG Initialized AlignmentData
09/28/2022 09:48:27 MainProcess MainThread media __init__ VERBOSE 914 items loaded
09/28/2022 09:48:27 MainProcess MainThread media __init__ DEBUG Initialized AlignmentData
09/28/2022 09:48:27 MainProcess MainThread alignments __init__ DEBUG Initialized Alignments
09/28/2022 09:48:27 MainProcess MainThread jobs_frames __init__ DEBUG Initializing Extract: (arguments: Namespace(func=<bound method ScriptExecutor.execute_script of <lib.cli.launcher.ScriptExecutor object at 0x7fe560c00af0>>, exclude_gpus=None, configfile=None, loglevel='INFO', logfile=None, redirect_gui=True, colab=False, job='extract', output='console', alignments_file='/home/hhwl/Downloads/dataset/super idol_alignments.fsa', faces_dir='/home/hhwl/Downloads/dataset/idol_train', frames_dir='/home/hhwl/Downloads/dataset/super idol.webm', extract_every_n=1, size=512, min_size=0))
09/28/2022 09:48:27 MainProcess MainThread jobs_frames _get_min_size DEBUG Extract size: 512, min percentage size: 0, min_size: 0
Traceback (most recent call last):
File "/home/hhwl/faceswap/lib/cli/launcher.py", line 217, in execute_script
process.process()
File "/home/hhwl/faceswap/tools/alignments/alignments.py", line 91, in process
job = job(self.alignments, self._args)
File "/home/hhwl/faceswap/tools/alignments/jobs_frames.py", line 196, in __init__
self._frames = Frames(arguments.frames_dir, self._get_count())
File "/home/hhwl/faceswap/tools/alignments/jobs_frames.py", line 237, in _get_count
meta = self._alignments.video_meta_data
File "/home/hhwl/faceswap/lib/align/alignments.py", line 193, in video_meta_data
if not self.data[key]["video_meta"]:
KeyError: 'video_meta'
============ System Information ============
encoding: UTF-8
git_branch: Not Found
git_commits: Not Found
gpu_cuda: 11.5
gpu_cudnn: No global version found. Check Conda packages for Conda cuDNN
gpu_devices: GPU_0: NVIDIA GeForce RTX 3050 Laptop GPU
gpu_devices_active: GPU_0
gpu_driver: 515.65.01
gpu_vram: GPU_0: 4096MB
os_machine: x86_64
os_platform: Linux-5.19.0-76051900-generic-x86_64-with-glibc2.35
os_release: 5.19.0-76051900-generic
py_command: /home/hhwl/faceswap/tools.py alignments -j extract -o console -a /home/hhwl/Downloads/dataset/super idol_alignments.fsa -fc /home/hhwl/Downloads/dataset/idol_train -fr /home/hhwl/Downloads/dataset/super idol.webm -een 1 -sz 512 -m 0 -L INFO -gui
py_conda_version: conda 22.9.0
py_implementation: CPython
py_version: 3.9.13
py_virtual_env: True
sys_cores: 20
sys_processor: x86_64
sys_ram: Total: 15684MB, Available: 10442MB, Used: 3609MB, Free: 4319MB
=============== Pip Packages ===============
absl-py==1.2.0
astunparse==1.6.3
cachetools==5.2.0
certifi @ file:///opt/conda/conda-bld/certifi_1663615672595/work/certifi
charset-normalizer==2.1.1
cloudpickle @ file:///tmp/build/80754af9/cloudpickle_1632508026186/work
cycler @ file:///tmp/build/80754af9/cycler_1637851556182/work
decorator @ file:///opt/conda/conda-bld/decorator_1643638310831/work
dm-tree @ file:///tmp/build/80754af9/dm-tree_1633012073719/work
fastcluster @ file:///home/conda/feedstock_root/build_artifacts/fastcluster_1649783242764/work
ffmpy==0.3.0
flatbuffers==1.12
fonttools==4.25.0
gast @ file:///tmp/build/80754af9/gast_1637837472536/work
google-auth==2.11.1
google-auth-oauthlib==0.4.6
google-pasta==0.2.0
grpcio==1.49.1
h5py==3.7.0
idna==3.4
imageio @ file:///tmp/abs_cd920173-f360-47c5-97b0-bf4d1076d5d4dvic0oys/croots/recipe/imageio_1658785036907/work
imageio-ffmpeg @ file:///home/conda/feedstock_root/build_artifacts/imageio-ffmpeg_1649960641006/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:///opt/conda/conda-bld/kiwisolver_1653292039266/work
libclang==14.0.6
Markdown==3.4.1
MarkupSafe==2.1.1
matplotlib @ file:///opt/conda/conda-bld/matplotlib-suite_1660167928326/work
mkl-fft==1.3.1
mkl-random @ file:///tmp/build/80754af9/mkl_random_1626186066731/work
mkl-service==2.4.0
munkres==1.1.4
numexpr @ file:///opt/conda/conda-bld/numexpr_1656940300424/work
numpy @ file:///tmp/abs_653_j00fmm/croots/recipe/numpy_and_numpy_base_1659432701727/work
nvidia-ml-py==11.515.75
oauthlib==3.2.1
opencv-python==4.6.0.66
opt-einsum==3.3.0
packaging @ file:///tmp/build/80754af9/packaging_1637314298585/work
pexpect @ file:///tmp/build/80754af9/pexpect_1605563209008/work
Pillow==9.2.0
ply==3.11
protobuf==3.19.5
psutil @ file:///opt/conda/conda-bld/psutil_1656431268089/work
ptyprocess @ file:///tmp/build/80754af9/ptyprocess_1609355006118/work/dist/ptyprocess-0.7.0-py2.py3-none-any.whl
pyasn1==0.4.8
pyasn1-modules==0.2.8
pyparsing @ file:///opt/conda/conda-bld/pyparsing_1661452539315/work
PyQt5-sip==12.11.0
python-dateutil @ file:///tmp/build/80754af9/python-dateutil_1626374649649/work
requests==2.28.1
requests-oauthlib==1.3.1
rsa==4.9
scikit-learn @ file:///home/conda/feedstock_root/build_artifacts/scikit-learn_1652976687386/work
scipy @ file:///home/conda/feedstock_root/build_artifacts/scipy_1653073865807/work
sip @ file:///tmp/abs_44cd77b_pu/croots/recipe/sip_1659012365470/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==2.9.2
tensorflow-io-gcs-filesystem==0.27.0
tensorflow-probability @ file:///tmp/build/80754af9/tensorflow-probability_1633017132682/work
termcolor==2.0.1
threadpoolctl @ file:///home/conda/feedstock_root/build_artifacts/threadpoolctl_1643647933166/work
toml @ file:///tmp/build/80754af9/toml_1616166611790/work
tornado @ file:///opt/conda/conda-bld/tornado_1662061693373/work
tqdm @ file:///opt/conda/conda-bld/tqdm_1650891076910/work
typing_extensions @ file:///tmp/abs_ben9emwtky/croots/recipe/typing_extensions_1659638822008/work
urllib3==1.26.12
Werkzeug==2.2.2
wrapt==1.14.1
zipp==3.8.1
============== Conda Packages ==============
# packages in environment at /home/hhwl/miniconda3/envs/faceswap:
#
# Name Version Build Channel
_libgcc_mutex 0.1 main
_openmp_mutex 5.1 1_gnu
absl-py 1.2.0 pypi_0 pypi
astunparse 1.6.3 pypi_0 pypi
blas 1.0 mkl
brotli 1.0.9 h5eee18b_7
brotli-bin 1.0.9 h5eee18b_7
bzip2 1.0.8 h7b6447c_0
c-ares 1.18.1 h7f8727e_0
ca-certificates 2022.07.19 h06a4308_0
cachetools 5.2.0 pypi_0 pypi
certifi 2022.9.14 py39h06a4308_0
charset-normalizer 2.1.1 pypi_0 pypi
cloudpickle 2.0.0 pyhd3eb1b0_0
cudatoolkit 11.2.2 hbe64b41_10 conda-forge
cudnn 8.1.0.77 h90431f1_0 conda-forge
curl 7.84.0 h5eee18b_0
cycler 0.11.0 pyhd3eb1b0_0
dbus 1.13.18 hb2f20db_0
decorator 5.1.1 pyhd3eb1b0_0
dm-tree 0.1.5 py39h51133e4_0
expat 2.4.4 h295c915_0
fastcluster 1.2.6 py39h1832856_1 conda-forge
ffmpeg 4.3.2 hca11adc_0 conda-forge
ffmpy 0.3.0 pypi_0 pypi
flatbuffers 1.12 pypi_0 pypi
fontconfig 2.13.1 h6c09931_0
fonttools 4.25.0 pyhd3eb1b0_0
freetype 2.11.0 h70c0345_0
gast 0.4.0 pypi_0 pypi
gettext 0.21.0 hf68c758_0
giflib 5.2.1 h7b6447c_0
git 2.34.1 pl5262hc120c5b_0
glib 2.69.1 h4ff587b_1
gmp 6.2.1 h58526e2_0 conda-forge
gnutls 3.6.13 h85f3911_1 conda-forge
google-auth 2.11.1 pypi_0 pypi
google-auth-oauthlib 0.4.6 pypi_0 pypi
google-pasta 0.2.0 pypi_0 pypi
grpcio 1.49.1 pypi_0 pypi
gst-plugins-base 1.14.0 h8213a91_2
gstreamer 1.14.0 h28cd5cc_2
h5py 3.7.0 pypi_0 pypi
icu 58.2 he6710b0_3
idna 3.4 pypi_0 pypi
imageio 2.19.3 py39h06a4308_0
imageio-ffmpeg 0.4.7 pyhd8ed1ab_0 conda-forge
importlib-metadata 4.12.0 pypi_0 pypi
intel-openmp 2021.4.0 h06a4308_3561
joblib 1.2.0 pyhd8ed1ab_0 conda-forge
jpeg 9e h7f8727e_0
keras 2.9.0 pypi_0 pypi
keras-preprocessing 1.1.2 pypi_0 pypi
kiwisolver 1.4.2 py39h295c915_0
krb5 1.19.2 hac12032_0
lame 3.100 h7f98852_1001 conda-forge
lcms2 2.12 h3be6417_0
ld_impl_linux-64 2.38 h1181459_1
lerc 3.0 h295c915_0
libblas 3.9.0 12_linux64_mkl conda-forge
libbrotlicommon 1.0.9 h5eee18b_7
libbrotlidec 1.0.9 h5eee18b_7
libbrotlienc 1.0.9 h5eee18b_7
libcblas 3.9.0 12_linux64_mkl conda-forge
libclang 14.0.6 pypi_0 pypi
libcurl 7.84.0 h91b91d3_0
libdeflate 1.8 h7f8727e_5
libedit 3.1.20210910 h7f8727e_0
libev 4.33 h7f8727e_1
libevent 2.1.12 h8f2d780_0
libffi 3.3 he6710b0_2
libgcc 7.2.0 h69d50b8_2
libgcc-ng 11.2.0 h1234567_1
libgfortran-ng 12.1.0 h69a702a_16 conda-forge
libgfortran5 12.1.0 hdcd56e2_16 conda-forge
libgomp 11.2.0 h1234567_1
liblapack 3.9.0 12_linux64_mkl conda-forge
libllvm10 10.0.1 hbcb73fb_5
libnghttp2 1.46.0 hce63b2e_0
libpng 1.6.37 hbc83047_0
libpq 12.9 h16c4e8d_3
libssh2 1.10.0 h8f2d780_0
libstdcxx-ng 11.2.0 h1234567_1
libtiff 4.4.0 hecacb30_0
libuuid 1.0.3 h7f8727e_2
libwebp 1.2.2 h55f646e_0
libwebp-base 1.2.2 h7f8727e_0
libxcb 1.15 h7f8727e_0
libxkbcommon 1.0.1 hfa300c1_0
libxml2 2.9.14 h74e7548_0
libxslt 1.1.35 h4e12654_0
lz4-c 1.9.3 h295c915_1
markdown 3.4.1 pypi_0 pypi
markupsafe 2.1.1 pypi_0 pypi
matplotlib 3.5.2 py39h06a4308_0
matplotlib-base 3.5.2 py39hf590b9c_0
mkl 2021.4.0 h06a4308_640
mkl-service 2.4.0 py39h7f8727e_0
mkl_fft 1.3.1 py39hd3c417c_0
mkl_random 1.2.2 py39h51133e4_0
munkres 1.1.4 py_0
ncurses 6.3 h27087fc_1 conda-forge
nettle 3.6 he412f7d_0 conda-forge
nspr 4.33 h295c915_0
nss 3.74 h0370c37_0
numexpr 2.8.3 py39h807cd23_0
numpy 1.23.1 py39h6c91a56_0
numpy-base 1.23.1 py39ha15fc14_0
nvidia-ml-py 11.515.75 pypi_0 pypi
oauthlib 3.2.1 pypi_0 pypi
opencv-python 4.6.0.66 pypi_0 pypi
openh264 2.1.1 h4ff587b_0
openssl 1.1.1q h7f8727e_0
opt-einsum 3.3.0 pypi_0 pypi
packaging 21.3 pyhd3eb1b0_0
pcre 8.45 h295c915_0
pcre2 10.37 he7ceb23_1
perl 5.26.2 h14c3975_0
pexpect 4.8.0 pyhd3eb1b0_3
pillow 9.2.0 py39hace64e9_1
pip 22.1.2 py39h06a4308_0
ply 3.11 py39h06a4308_0
protobuf 3.19.5 pypi_0 pypi
psutil 5.9.0 py39h5eee18b_0
ptyprocess 0.7.0 pyhd3eb1b0_2
pyasn1 0.4.8 pypi_0 pypi
pyasn1-modules 0.2.8 pypi_0 pypi
pyparsing 3.0.9 py39h06a4308_0
pyqt 5.15.7 py39h6a678d5_1
pyqt5-sip 12.11.0 py39h6a678d5_1
python 3.9.13 haa1d7c7_1
python-dateutil 2.8.2 pyhd3eb1b0_0
python_abi 3.9 2_cp39 conda-forge
qt-main 5.15.2 h327a75a_7
qt-webengine 5.15.9 hd2b0992_4
qtwebkit 5.212 h4eab89a_4
readline 8.1.2 h7f8727e_1
requests 2.28.1 pypi_0 pypi
requests-oauthlib 1.3.1 pypi_0 pypi
rsa 4.9 pypi_0 pypi
scikit-learn 1.1.1 py39h4037b75_0 conda-forge
scipy 1.8.1 py39he49c0e8_0 conda-forge
setuptools 63.4.1 py39h06a4308_0
sip 6.6.2 py39h6a678d5_0
six 1.16.0 pyhd3eb1b0_1
sqlite 3.39.2 h5082296_0
tensorboard 2.9.1 pypi_0 pypi
tensorboard-data-server 0.6.1 pypi_0 pypi
tensorboard-plugin-wit 1.8.1 pypi_0 pypi
tensorflow-estimator 2.9.0 pypi_0 pypi
tensorflow-gpu 2.9.2 pypi_0 pypi
tensorflow-io-gcs-filesystem 0.27.0 pypi_0 pypi
tensorflow-probability 0.14.0 pyhd3eb1b0_0
termcolor 2.0.1 pypi_0 pypi
threadpoolctl 3.1.0 pyh8a188c0_0 conda-forge
tk 8.6.12 h1ccaba5_0
toml 0.10.2 pyhd3eb1b0_0
tornado 6.2 py39h5eee18b_0
tqdm 4.64.0 py39h06a4308_0
typing-extensions 4.3.0 py39h06a4308_0
typing_extensions 4.3.0 py39h06a4308_0
tzdata 2022c h04d1e81_0
urllib3 1.26.12 pypi_0 pypi
werkzeug 2.2.2 pypi_0 pypi
wheel 0.37.1 pyhd3eb1b0_0
wrapt 1.14.1 pypi_0 pypi
x264 1!161.3030 h7f98852_1 conda-forge
xz 5.2.5 h7f8727e_1
zipp 3.8.1 pypi_0 pypi
zlib 1.2.12 h5eee18b_3
zstd 1.5.2 ha4553b6_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
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: 15.0
save_filtered: False
[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
--------- 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
--------- gui.ini ---------
[global]
fullscreen: False
tab: extract
options_panel_width: 45
console_panel_height: 41
icon_size: 15
font: clearlyu
font_size: 12
autosave_last_session: prompt
timeout: 120
auto_load_model_stats: True