following is the crash report thx
Code: Select all
12/17/2019 12:56:33 MainProcess MainThread image _check_for_video DEBUG Input '/media/kimjisoo/New Volume/MY_PROJECT/faceswap/jisoo/video/190123dududu' is_video: False
12/17/2019 12:56:33 MainProcess MainThread utils get_image_paths DEBUG Scanned Folder contains 9131 files
12/17/2019 12:56:33 MainProcess MainThread utils get_image_paths DEBUG Returning 9131 images
12/17/2019 12:56:33 MainProcess MainThread image _get_count_and_filelist DEBUG count: 9131
12/17/2019 12:56:33 MainProcess MainThread fsmedia __init__ DEBUG Initializing Alignments: (is_extract: True, input_is_video: False)
12/17/2019 12:56:33 MainProcess MainThread fsmedia set_folder_filename DEBUG Alignments from Input Folder: '/media/kimjisoo/New Volume/MY_PROJECT/faceswap/jisoo/video/190123dududu'
12/17/2019 12:56:33 MainProcess MainThread fsmedia set_folder_filename DEBUG Setting Alignments: (folder: '/media/kimjisoo/New Volume/MY_PROJECT/faceswap/jisoo/video/190123dududu' filename: 'alignments')
12/17/2019 12:56:33 MainProcess MainThread alignments __init__ DEBUG Initializing Alignments: (folder: '/media/kimjisoo/New Volume/MY_PROJECT/faceswap/jisoo/video/190123dududu', filename: 'alignments')
12/17/2019 12:56:33 MainProcess MainThread serializer get_serializer DEBUG <lib.serializer._PickleSerializer object at 0x7f488c738890>
12/17/2019 12:56:33 MainProcess MainThread serializer get_serializer DEBUG <lib.serializer._CompressedSerializer object at 0x7f488c92b2d0>
12/17/2019 12:56:33 MainProcess MainThread alignments get_location DEBUG Getting location: (folder: '/media/kimjisoo/New Volume/MY_PROJECT/faceswap/jisoo/video/190123dududu', filename: 'alignments')
12/17/2019 12:56:33 MainProcess MainThread alignments get_location DEBUG File extension set from serializer: 'fsa'
12/17/2019 12:56:33 MainProcess MainThread alignments test_for_legacy DEBUG Checking for legacy alignments file formats: '/media/kimjisoo/New Volume/MY_PROJECT/faceswap/jisoo/video/190123dududu/alignments.fsa'
12/17/2019 12:56:33 MainProcess MainThread alignments test_for_legacy DEBUG Legacy alignments file does not exist: '/media/kimjisoo/New Volume/MY_PROJECT/faceswap/jisoo/video/190123dududu/alignments.json'
12/17/2019 12:56:33 MainProcess MainThread alignments test_for_legacy DEBUG Legacy alignments file does not exist: '/media/kimjisoo/New Volume/MY_PROJECT/faceswap/jisoo/video/190123dududu/alignments.p'
12/17/2019 12:56:33 MainProcess MainThread alignments test_for_legacy DEBUG Legacy alignments file does not exist: '/media/kimjisoo/New Volume/MY_PROJECT/faceswap/jisoo/video/190123dududu/alignments.pickle'
12/17/2019 12:56:33 MainProcess MainThread alignments test_for_legacy DEBUG Legacy alignments file does not exist: '/media/kimjisoo/New Volume/MY_PROJECT/faceswap/jisoo/video/190123dududu/alignments.yaml'
12/17/2019 12:56:33 MainProcess MainThread alignments get_location VERBOSE Alignments filepath: '/media/kimjisoo/New Volume/MY_PROJECT/faceswap/jisoo/video/190123dududu/alignments.fsa'
12/17/2019 12:56:33 MainProcess MainThread fsmedia load DEBUG No skipping selected. Returning empty dictionary
12/17/2019 12:56:33 MainProcess MainThread alignments has_legacy_landmarksxy DEBUG checking legacy landmarksXY
12/17/2019 12:56:33 MainProcess MainThread alignments has_legacy_landmarksxy DEBUG legacy landmarksXY: False
12/17/2019 12:56:33 MainProcess MainThread alignments has_legacy_landmarks_list DEBUG checking legacy landmarks as list
12/17/2019 12:56:33 MainProcess MainThread alignments __init__ DEBUG Initialized Alignments
12/17/2019 12:56:33 MainProcess MainThread fsmedia __init__ DEBUG Initialized Alignments
12/17/2019 12:56:33 MainProcess MainThread extract _set_skip_list DEBUG No frames to be skipped
12/17/2019 12:56:33 MainProcess MainThread fsmedia __init__ DEBUG Initializing PostProcess
12/17/2019 12:56:33 MainProcess MainThread fsmedia get_items DEBUG Postprocess Items: {}
12/17/2019 12:56:33 MainProcess MainThread fsmedia __init__ DEBUG Initialized PostProcess
12/17/2019 12:56:33 MainProcess MainThread pipeline __init__ DEBUG Initializing Extractor: (detector: s3fd, aligner: fan, masker: vgg-obstructed, configfile: None, multiprocess: False, rotate_images: , min_size: 20, normalize_method: hist, image_is_aligned: False)
12/17/2019 12:56:33 MainProcess MainThread pipeline _set_flow DEBUG detector: s3fd, aligner: fan, masker: vgg-obstructed
12/17/2019 12:56:33 MainProcess MainThread pipeline _set_flow DEBUG flow: ['detect', 'align', 'mask']
12/17/2019 12:56:33 MainProcess MainThread pipeline _load_detect DEBUG Loading Detector: 's3fd'
12/17/2019 12:56:33 MainProcess MainThread plugin_loader _import INFO Loading Detect from S3Fd plugin...
12/17/2019 12:56:33 MainProcess MainThread _base __init__ DEBUG Initializing Detect: (rotation: , min_size: 20)
12/17/2019 12:56:33 MainProcess MainThread _base __init__ DEBUG Initializing Detect: (git_model_id: 11, model_filename: s3fd_keras_v1.h5, configfile: None)
12/17/2019 12:56:33 MainProcess MainThread config __init__ DEBUG Initializing: Config
12/17/2019 12:56:33 MainProcess MainThread config get_config_file DEBUG Config File location: '/home/kimjisoo/faceswap/config/extract.ini'
12/17/2019 12:56:33 MainProcess MainThread _config set_defaults DEBUG Setting defaults
12/17/2019 12:56:33 MainProcess MainThread _config set_globals DEBUG Setting global config
12/17/2019 12:56:33 MainProcess MainThread config add_section DEBUG Add section: (title: 'global', info: 'Options that apply to all extraction plugins')
12/17/2019 12:56:33 MainProcess MainThread config add_item DEBUG Add item: (section: 'global', title: 'allow_growth', datatype: '<class 'bool'>', default: 'False', info: '[Nvidia Only]. Enable the Tensorflow GPU `allow_growth` configuration option. This option prevents Tensorflow from allocating all of the GPU VRAM at launch but can lead to higher VRAM fragmentation and slower performance. Should only be enabled if you are having problems running extraction.', rounding: 'None', min_max: None, choices: None, gui_radio: False, fixed: True, group: None)
12/17/2019 12:56:33 MainProcess MainThread _config load_module DEBUG Adding defaults: (filename: cv2_dnn_defaults.py, module_path: plugins.extract.detect, plugin_type: detect
12/17/2019 12:56:33 MainProcess MainThread _config load_module DEBUG Importing defaults module: plugins.extract.detect.cv2_dnn_defaults
12/17/2019 12:56:33 MainProcess MainThread config add_section DEBUG Add section: (title: 'detect.cv2_dnn', info: 'CV2 DNN Detector options.\nA CPU only extractor, is the least reliable, but uses least resources and runs fast on CPU. Use this if not using a GPU and time is important')
12/17/2019 12:56:33 MainProcess MainThread config add_item DEBUG Add item: (section: 'detect.cv2_dnn', title: 'confidence', datatype: '<class 'int'>', default: '50', info: 'The confidence level at which the detector has succesfully found a face.\nHigher levels will be more discriminating, lower levels will have more false positives.', rounding: '5', min_max: (25, 100), choices: [], gui_radio: False, fixed: True, group: None)
12/17/2019 12:56:33 MainProcess MainThread _config load_module DEBUG Added defaults: detect.cv2_dnn
12/17/2019 12:56:33 MainProcess MainThread _config load_module DEBUG Adding defaults: (filename: mtcnn_defaults.py, module_path: plugins.extract.detect, plugin_type: detect
12/17/2019 12:56:33 MainProcess MainThread _config load_module DEBUG Importing defaults module: plugins.extract.detect.mtcnn_defaults
12/17/2019 12:56:33 MainProcess MainThread config add_section DEBUG Add section: (title: 'detect.mtcnn', info: 'MTCNN Detector options.\nFast on GPU, slow on CPU. Uses fewer resources than other GPU detectors but can often return more false positives.')
12/17/2019 12:56:33 MainProcess MainThread config add_item DEBUG Add item: (section: 'detect.mtcnn', title: 'minsize', datatype: '<class 'int'>', default: '20', info: 'The minimum size of a face (in pixels) to be accepted as a positive match.\nLower values use significantly more VRAM and will detect more false positives.', rounding: '10', min_max: (20, 1000), choices: [], gui_radio: False, fixed: True, group: None)
12/17/2019 12:56:33 MainProcess MainThread config add_item DEBUG Add item: (section: 'detect.mtcnn', title: 'threshold_1', datatype: '<class 'float'>', default: '0.6', info: 'First stage threshold for face detection. This stage obtains face candidates.', rounding: '2', min_max: (0.1, 0.9), choices: [], gui_radio: False, fixed: True, group: None)
12/17/2019 12:56:33 MainProcess MainThread config add_item DEBUG Add item: (section: 'detect.mtcnn', title: 'threshold_2', datatype: '<class 'float'>', default: '0.7', info: 'Second stage threshold for face detection. This stage refines face candidates.', rounding: '2', min_max: (0.1, 0.9), choices: [], gui_radio: False, fixed: True, group: None)
12/17/2019 12:56:33 MainProcess MainThread config add_item DEBUG Add item: (section: 'detect.mtcnn', title: 'threshold_3', datatype: '<class 'float'>', default: '0.7', info: 'Third stage threshold for face detection. This stage further refines face candidates.', rounding: '2', min_max: (0.1, 0.9), choices: [], gui_radio: False, fixed: True, group: None)
12/17/2019 12:56:33 MainProcess MainThread config add_item DEBUG Add item: (section: 'detect.mtcnn', title: 'scalefactor', datatype: '<class 'float'>', default: '0.709', info: 'The scale factor for the image pyramid.', rounding: '3', min_max: (0.1, 0.9), choices: [], gui_radio: False, fixed: True, group: None)
12/17/2019 12:56:33 MainProcess MainThread config add_item DEBUG Add item: (section: 'detect.mtcnn', title: 'batch-size', datatype: '<class 'int'>', default: '8', info: 'The batch size to use. To a point, higher batch sizes equal better performance, but setting it too high can harm performance.\n\n Nvidia users: If the batchsize is set higher than the your GPU can accomodate then this will automatically be lowered.', rounding: '1', min_max: (1, 64), choices: [], gui_radio: False, fixed: True, group: None)
12/17/2019 12:56:33 MainProcess MainThread _config load_module DEBUG Added defaults: detect.mtcnn
12/17/2019 12:56:33 MainProcess MainThread _config load_module DEBUG Adding defaults: (filename: s3fd_defaults.py, module_path: plugins.extract.detect, plugin_type: detect
12/17/2019 12:56:33 MainProcess MainThread _config load_module DEBUG Importing defaults module: plugins.extract.detect.s3fd_defaults
12/17/2019 12:56:33 MainProcess MainThread config add_section DEBUG Add section: (title: 'detect.s3fd', info: 'S3FD Detector options.Fast on GPU, slow on CPU. Can detect more faces and fewer false positives than other GPU detectors, but is a lot more resource intensive.')
12/17/2019 12:56:33 MainProcess MainThread config add_item DEBUG Add item: (section: 'detect.s3fd', title: 'confidence', datatype: '<class 'int'>', default: '70', info: 'The confidence level at which the detector has succesfully found a face.\nHigher levels will be more discriminating, lower levels will have more false positives.', rounding: '5', min_max: (25, 100), choices: [], gui_radio: False, fixed: True, group: None)
12/17/2019 12:56:33 MainProcess MainThread config add_item DEBUG Add item: (section: 'detect.s3fd', title: 'batch-size', datatype: '<class 'int'>', default: '4', info: 'The batch size to use. To a point, higher batch sizes equal better performance, but setting it too high can harm performance.\n\n Nvidia users: If the batchsize is set higher than the your GPU can accomodate then this will automatically be lowered.\n AMD users: A batchsize of 8 requires about 2 GB vram.', rounding: '1', min_max: (1, 64), choices: [], gui_radio: False, fixed: True, group: None)
12/17/2019 12:56:33 MainProcess MainThread _config load_module DEBUG Added defaults: detect.s3fd
12/17/2019 12:56:33 MainProcess MainThread _config load_module DEBUG Adding defaults: (filename: fan_defaults.py, module_path: plugins.extract.align, plugin_type: align
12/17/2019 12:56:33 MainProcess MainThread _config load_module DEBUG Importing defaults module: plugins.extract.align.fan_defaults
12/17/2019 12:56:33 MainProcess MainThread config add_section DEBUG Add section: (title: 'align.fan', info: 'FAN Aligner options.Fast on GPU, slow on CPU. Best aligner.')
12/17/2019 12:56:33 MainProcess MainThread config add_item DEBUG Add item: (section: 'align.fan', title: 'batch-size', datatype: '<class 'int'>', default: '12', info: 'The batch size to use. To a point, higher batch sizes equal better performance, but setting it too high can harm performance.\n\n Nvidia users: If the batchsize is set higher than the your GPU can accomodate then this will automatically be lowered.\n AMD users: A batchsize of 8 requires about 4 GB vram.', rounding: '1', min_max: (1, 64), choices: [], gui_radio: False, fixed: True, group: None)
12/17/2019 12:56:33 MainProcess MainThread _config load_module DEBUG Added defaults: align.fan
12/17/2019 12:56:33 MainProcess MainThread _config load_module DEBUG Adding defaults: (filename: vgg_clear_defaults.py, module_path: plugins.extract.mask, plugin_type: mask
12/17/2019 12:56:33 MainProcess MainThread _config load_module DEBUG Importing defaults module: plugins.extract.mask.vgg_clear_defaults
12/17/2019 12:56:33 MainProcess MainThread config add_section DEBUG Add section: (title: 'mask.vgg_clear', info: 'VGG_Clear options. Mask designed to provide smart segmentation of mostly frontal faces clear of obstructions.\nProfile faces and obstructions may result in sub-par performance.')
12/17/2019 12:56:33 MainProcess MainThread config add_item DEBUG Add item: (section: 'mask.vgg_clear', title: 'batch-size', datatype: '<class 'int'>', default: '6', info: 'The batch size to use. To a point, higher batch sizes equal better performance, but setting it too high can harm performance.\n\n Nvidia users: If the batchsize is set higher than the your GPU can accomodate then this will automatically be lowered.', rounding: '1', min_max: (1, 64), choices: [], gui_radio: False, fixed: True, group: None)
12/17/2019 12:56:33 MainProcess MainThread _config load_module DEBUG Added defaults: mask.vgg_clear
12/17/2019 12:56:33 MainProcess MainThread _config load_module DEBUG Adding defaults: (filename: unet_dfl_defaults.py, module_path: plugins.extract.mask, plugin_type: mask
12/17/2019 12:56:33 MainProcess MainThread _config load_module DEBUG Importing defaults module: plugins.extract.mask.unet_dfl_defaults
12/17/2019 12:56:33 MainProcess MainThread config add_section DEBUG Add section: (title: 'mask.unet_dfl', info: 'UNET_DFL options. Mask designed to provide smart segmentation of mostly frontal faces.\nThe mask model has been trained by community members. Insert more commentary on testing here. Profile faces may result in sub-par performance.')
12/17/2019 12:56:33 MainProcess MainThread config add_item DEBUG Add item: (section: 'mask.unet_dfl', title: 'batch-size', datatype: '<class 'int'>', default: '8', info: 'The batch size to use. To a point, higher batch sizes equal better performance, but setting it too high can harm performance.\n\n Nvidia users: If the batchsize is set higher than the your GPU can accomodate then this will automatically be lowered.', rounding: '1', min_max: (1, 64), choices: [], gui_radio: False, fixed: True, group: None)
12/17/2019 12:56:33 MainProcess MainThread _config load_module DEBUG Added defaults: mask.unet_dfl
12/17/2019 12:56:33 MainProcess MainThread _config load_module DEBUG Adding defaults: (filename: vgg_obstructed_defaults.py, module_path: plugins.extract.mask, plugin_type: mask
12/17/2019 12:56:33 MainProcess MainThread _config load_module DEBUG Importing defaults module: plugins.extract.mask.vgg_obstructed_defaults
12/17/2019 12:56:33 MainProcess MainThread config add_section DEBUG Add section: (title: 'mask.vgg_obstructed', info: 'VGG_Obstructed options. Mask designed to provide smart segmentation of mostly frontal faces.\nThe mask model has been specifically trained to recognize some facial obstructions (hands and eyeglasses). Profile faces may result in sub-par performance.')
12/17/2019 12:56:33 MainProcess MainThread config add_item DEBUG Add item: (section: 'mask.vgg_obstructed', title: 'batch-size', datatype: '<class 'int'>', default: '2', info: 'The batch size to use. To a point, higher batch sizes equal better performance, but setting it too high can harm performance.\n\n Nvidia users: If the batchsize is set higher than the your GPU can accomodate then this will automatically be lowered.', rounding: '1', min_max: (1, 64), choices: [], gui_radio: False, fixed: True, group: None)
12/17/2019 12:56:33 MainProcess MainThread _config load_module DEBUG Added defaults: mask.vgg_obstructed
12/17/2019 12:56:33 MainProcess MainThread config handle_config DEBUG Handling config
12/17/2019 12:56:33 MainProcess MainThread config check_exists DEBUG Config file exists: '/home/kimjisoo/faceswap/config/extract.ini'
12/17/2019 12:56:33 MainProcess MainThread config load_config VERBOSE Loading config: '/home/kimjisoo/faceswap/config/extract.ini'
12/17/2019 12:56:33 MainProcess MainThread config validate_config DEBUG Validating config
12/17/2019 12:56:33 MainProcess MainThread config check_config_change DEBUG Default config has not changed
12/17/2019 12:56:33 MainProcess MainThread config check_config_choices DEBUG Checking config choices
12/17/2019 12:56:33 MainProcess MainThread config check_config_choices DEBUG Checked config choices
12/17/2019 12:56:33 MainProcess MainThread config validate_config DEBUG Validated config
12/17/2019 12:56:33 MainProcess MainThread config handle_config DEBUG Handled config
12/17/2019 12:56:33 MainProcess MainThread config __init__ DEBUG Initialized: Config
12/17/2019 12:56:33 MainProcess MainThread config get DEBUG Getting config item: (section: 'global', option: 'allow_growth')
12/17/2019 12:56:33 MainProcess MainThread config get DEBUG Returning item: (type: <class 'bool'>, value: True)
12/17/2019 12:56:33 MainProcess MainThread config get DEBUG Getting config item: (section: 'detect.s3fd', option: 'confidence')
12/17/2019 12:56:33 MainProcess MainThread config get DEBUG Returning item: (type: <class 'int'>, value: 70)
12/17/2019 12:56:33 MainProcess MainThread config get DEBUG Getting config item: (section: 'detect.s3fd', option: 'batch-size')
12/17/2019 12:56:33 MainProcess MainThread config get DEBUG Returning item: (type: <class 'int'>, value: 4)
12/17/2019 12:56:33 MainProcess MainThread utils get DEBUG Model exists: /home/kimjisoo/faceswap/plugins/extract/detect/.cache/s3fd_keras_v1.h5
12/17/2019 12:56:33 MainProcess MainThread _base __init__ DEBUG Initialized _base Detect
Traceback (most recent call last):
File "/home/kimjisoo/faceswap/lib/cli.py", line 128, in execute_script
process = script(arguments)
File "/home/kimjisoo/faceswap/scripts/extract.py", line 61, in __init__
normalize_method=normalization)
File "/home/kimjisoo/faceswap/plugins/extract/pipeline.py", line 82, in __init__
self._detect = self._load_detect(detector, rotate_images, min_size, configfile)
File "/home/kimjisoo/faceswap/plugins/extract/pipeline.py", line 383, in _load_detect
configfile=configfile)
File "/home/kimjisoo/faceswap/plugins/extract/detect/s3fd.py", line 23, in __init__
super().__init__(git_model_id=git_model_id, model_filename=model_filename, **kwargs)
File "/home/kimjisoo/faceswap/plugins/extract/detect/_base.py", line 67, in __init__
self.rotation = self._get_rotation_angles(rotation)
File "/home/kimjisoo/faceswap/plugins/extract/detect/_base.py", line 330, in _get_rotation_angles
for angle in rotation.split(",")
File "/home/kimjisoo/faceswap/plugins/extract/detect/_base.py", line 331, in <listcomp>
if int(angle) != 0]
ValueError: invalid literal for int() with base 10: ' '
============ System Information ============
encoding: UTF-8
git_branch: Not Found
git_commits: Not Found
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 GTX 1080 Ti
gpu_devices_active: GPU_0
gpu_driver: 435.21
gpu_vram: GPU_0: 11175MB
os_machine: x86_64
os_platform: Linux-5.0.0-37-generic-x86_64-with-debian-buster-sid
os_release: 5.0.0-37-generic
py_command: /home/kimjisoo/faceswap/faceswap.py extract -i /media/kimjisoo/New Volume/MY_PROJECT/faceswap/jisoo/video/190123dududu -o /media/kimjisoo/New Volume/MY_PROJECT/faceswap/jisoo/video/190123 output -D s3fd -A fan -M vgg-obstructed -nm hist -r -min 20 -l 0.4 -een 1 -sz 256 -si 0 -sp -L DEBUG -gui
py_conda_version: conda 4.7.12
py_implementation: CPython
py_version: 3.7.5
py_virtual_env: True
sys_cores: 16
sys_processor: x86_64
sys_ram: Total: 32176MB, Available: 30414MB, Used: 1347MB, Free: 29949MB
=============== Pip Packages ===============
absl-py==0.8.1
astor==0.8.0
certifi==2019.11.28
cloudpickle==1.2.2
cycler==0.10.0
cytoolz==0.10.1
dask==2.9.0
decorator==4.4.1
fastcluster==1.1.25
ffmpy==0.2.2
gast==0.2.2
google-pasta==0.1.8
grpcio==1.16.1
h5py==2.9.0
imageio==2.6.1
imageio-ffmpeg==0.3.0
joblib==0.14.0
Keras==2.2.4
Keras-Applications==1.0.8
Keras-Preprocessing==1.1.0
kiwisolver==1.1.0
Markdown==3.1.1
matplotlib==3.1.1
mkl-fft==1.0.15
mkl-random==1.1.0
mkl-service==2.3.0
networkx==2.4
numpy==1.17.4
nvidia-ml-py3==7.352.1
olefile==0.46
opencv-python==4.1.2.30
opt-einsum==3.1.0
pathlib==1.0.1
Pillow==6.2.1
protobuf==3.10.1
psutil==5.6.7
pyparsing==2.4.5
python-dateutil==2.8.1
pytz==2019.3
PyWavelets==1.1.1
PyYAML==5.1.2
scikit-image==0.15.0
scikit-learn==0.21.3
scipy==1.3.2
six==1.13.0
tensorboard==1.15.0
tensorflow==1.15.0
tensorflow-estimator==1.15.1
termcolor==1.1.0
toolz==0.10.0
toposort==1.5
tornado==6.0.3
tqdm==4.40.0
webencodings==0.5.1
Werkzeug==0.16.0
wrapt==1.11.2
============== Conda Packages ==============
# packages in environment at /home/kimjisoo/anaconda3/envs/faceswap:
#
# Name Version Build Channel
_libgcc_mutex 0.1 main
_tflow_select 2.1.0 gpu
absl-py 0.8.1 py37_0
astor 0.8.0 py37_0
blas 1.0 mkl
bzip2 1.0.8 h516909a_2 conda-forge
c-ares 1.15.0 h7b6447c_1001
ca-certificates 2019.11.27 0
certifi 2019.11.28 py37_0
cloudpickle 1.2.2 py_0
cudatoolkit 10.0.130 0
cudnn 7.6.4 cuda10.0_0
cupti 10.0.130 0
cycler 0.10.0 py37_0
cytoolz 0.10.1 py37h7b6447c_0
dask-core 2.9.0 py_0
dbus 1.13.12 h746ee38_0
decorator 4.4.1 py_0
expat 2.2.6 he6710b0_0
fastcluster 1.1.25 py37hb3f55d8_1000 conda-forge
ffmpeg 4.2 h167e202_0 conda-forge
ffmpy 0.2.2 pypi_0 pypi
fontconfig 2.13.0 h9420a91_0
freetype 2.9.1 h8a8886c_1
gast 0.2.2 py37_0
git 2.23.0 pl526hacde149_0
glib 2.63.1 h5a9c865_0
gmp 6.1.2 hf484d3e_1000 conda-forge
gnutls 3.6.5 hd3a4fd2_1002 conda-forge
google-pasta 0.1.8 py_0
grpcio 1.16.1 py37hf8bcb03_1
gst-plugins-base 1.14.0 hbbd80ab_1
gstreamer 1.14.0 hb453b48_1
h5py 2.9.0 py37h7918eee_0
hdf5 1.10.4 hb1b8bf9_0
icu 58.2 h9c2bf20_1
imageio 2.6.1 py37_0
imageio-ffmpeg 0.3.0 py_0 conda-forge
intel-openmp 2019.4 243
joblib 0.14.0 py_0
jpeg 9b h024ee3a_2
keras 2.2.4 0
keras-applications 1.0.8 py_0
keras-base 2.2.4 py37_0
keras-preprocessing 1.1.0 py_1
kiwisolver 1.1.0 py37he6710b0_0
krb5 1.16.1 h173b8e3_7
lame 3.100 h14c3975_1001 conda-forge
libcurl 7.67.0 h20c2e04_0
libedit 3.1.20181209 hc058e9b_0
libffi 3.2.1 hd88cf55_4
libgcc-ng 9.1.0 hdf63c60_0
libgfortran-ng 7.3.0 hdf63c60_0
libiconv 1.15 h516909a_1005 conda-forge
libpng 1.6.37 hbc83047_0
libprotobuf 3.10.1 hd408876_0
libssh2 1.8.2 h1ba5d50_0
libstdcxx-ng 9.1.0 hdf63c60_0
libtiff 4.1.0 h2733197_0
libuuid 1.0.3 h1bed415_2
libxcb 1.13 h1bed415_1
libxml2 2.9.9 hea5a465_1
markdown 3.1.1 py37_0
matplotlib 3.1.1 py37h5429711_0
mkl 2019.4 243
mkl-service 2.3.0 py37he904b0f_0
mkl_fft 1.0.15 py37ha843d7b_0
mkl_random 1.1.0 py37hd6b4f25_0
ncurses 6.1 he6710b0_1
nettle 3.4.1 h1bed415_1002 conda-forge
networkx 2.4 py_0
numpy 1.17.4 py37hc1035e2_0
numpy-base 1.17.4 py37hde5b4d6_0
nvidia-ml-py3 7.352.1 pypi_0 pypi
olefile 0.46 py37_0
opencv-python 4.1.2.30 pypi_0 pypi
openh264 1.8.0 hdbcaa40_1000 conda-forge
openssl 1.1.1d h7b6447c_3
opt_einsum 3.1.0 py_0
pathlib 1.0.1 py37_1
pcre 8.43 he6710b0_0
perl 5.26.2 h14c3975_0
pillow 6.2.1 py37h34e0f95_0
pip 19.3.1 py37_0
protobuf 3.10.1 py37he6710b0_0
psutil 5.6.7 py37h7b6447c_0
pyparsing 2.4.5 py_0
pyqt 5.9.2 py37h05f1152_2
python 3.7.5 h0371630_0
python-dateutil 2.8.1 py_0
pytz 2019.3 py_0
pywavelets 1.1.1 py37h7b6447c_0
pyyaml 5.1.2 py37h7b6447c_0
qt 5.9.7 h5867ecd_1
readline 7.0 h7b6447c_5
scikit-image 0.15.0 py37he6710b0_0
scikit-learn 0.21.3 py37hd81dba3_0
scipy 1.3.2 py37h7c811a0_0
setuptools 42.0.2 py37_0
sip 4.19.8 py37hf484d3e_0
six 1.13.0 py37_0
sqlite 3.30.1 h7b6447c_0
tensorboard 1.15.0 pyhb230dea_0
tensorflow 1.15.0 gpu_py37h0f0df58_0
tensorflow-base 1.15.0 gpu_py37h9dcbed7_0
tensorflow-estimator 1.15.1 pyh2649769_0
tensorflow-gpu 1.15.0 h0d30ee6_0
termcolor 1.1.0 py37_1
tk 8.6.8 hbc83047_0
toolz 0.10.0 py_0
toposort 1.5 py_3 conda-forge
tornado 6.0.3 py37h7b6447c_0
tqdm 4.40.0 py_0
webencodings 0.5.1 py37_1
werkzeug 0.16.0 py_0
wheel 0.33.6 py37_0
wrapt 1.11.2 py37h7b6447c_0
x264 1!152.20180806 h14c3975_0 conda-forge
xz 5.2.4 h14c3975_4
yaml 0.1.7 had09818_2
zlib 1.2.11 h7b6447c_3
zstd 1.3.7 h0b5b093_0
================= Configs ==================
--------- .faceswap ---------
backend: nvidia
--------- extract.ini ---------
[global]
allow_growth: True
[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
[align.fan]
batch-size: 12
[mask.vgg_clear]
batch-size: 6
[mask.unet_dfl]
batch-size: 8
[mask.vgg_obstructed]
batch-size: 2
--------- train.ini ---------
[global]
coverage: 68.75
mask_type: none
mask_blur_kernel: 3
mask_threshold: 4
learn_mask: False
icnr_init: False
conv_aware_init: False
subpixel_upscaling: False
reflect_padding: False
penalized_mask_loss: True
loss_function: mae
learning_rate: 5e-05
[model.unbalanced]
input_size: 128
lowmem: False
clipnorm: True
nodes: 1024
complexity_encoder: 128
complexity_decoder_a: 384
complexity_decoder_b: 512
[model.dlight]
features: best
details: good
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.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.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
--------- convert.ini ---------
[scaling.sharpen]
method: unsharp_mask
amount: 150
radius: 0.3
threshold: 5.0
[writer.pillow]
format: png
draw_transparent: False
optimize: False
gif_interlace: True
jpg_quality: 75
png_compress_level: 3
tif_compression: tiff_deflate
[writer.opencv]
format: png
draw_transparent: False
jpg_quality: 75
png_compress_level: 3
[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
[mask.box_blend]
type: gaussian
distance: 11.0
radius: 5.0
passes: 1
[mask.mask_blend]
type: normalized
radius: 3.0
passes: 4
erosion: 0.0
[color.manual_balance]
colorspace: HSV
balance_1: 0.0
balance_2: 0.0
balance_3: 0.0
contrast: 0.0
brightness: 0.0
[color.match_hist]
threshold: 99.0
[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: default
font_size: 9
autosave_last_session: prompt
timeout: 120
auto_load_model_stats: True
