I got a crash while trying to sort faces.
This is the crash report.
Code: Select all
01/19/2021 16:18:03 MainProcess MainThread alignments __init__ DEBUG Initializing Thumbnails: (alignments: <lib.align.alignments.Alignments object at 0x0000018C53936130>)
01/19/2021 16:18:03 MainProcess MainThread alignments __init__ DEBUG Initialized Thumbnails
01/19/2021 16:18:03 MainProcess MainThread alignments __init__ DEBUG Initialized Alignments
01/19/2021 16:18:03 MainProcess MainThread sort process VERBOSE No output directory provided. Using input dir as output dir.
01/19/2021 16:18:03 MainProcess MainThread vgg_face2_keras __init__ DEBUG Initializing VGGFace2
01/19/2021 16:18:03 MainProcess MainThread _base __init__ DEBUG Initializing VGGFace2: (git_model_id: 10, model_filename: ['vggface2_resnet50_v2.h5'], exclude_gpus: None, configfile: None, instance: 0, )
01/19/2021 16:18:03 MainProcess MainThread config __init__ DEBUG Initializing: Config
01/19/2021 16:18:03 MainProcess MainThread config get_config_file DEBUG Config File location: 'D:\faceswap\config\extract.ini'
01/19/2021 16:18:03 MainProcess MainThread _config set_defaults DEBUG Setting defaults
01/19/2021 16:18:03 MainProcess MainThread _config set_globals DEBUG Setting global config
01/19/2021 16:18:03 MainProcess MainThread config add_section DEBUG Add section: (title: 'global', info: 'Options that apply to all extraction plugins')
01/19/2021 16:18:03 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)
01/19/2021 16:18:03 MainProcess MainThread _config load_module DEBUG Adding defaults: (filename: fan_defaults.py, module_path: plugins.extract.align, plugin_type: align
01/19/2021 16:18:03 MainProcess MainThread _config load_module DEBUG Importing defaults module: plugins.extract.align.fan_defaults
01/19/2021 16:18:03 MainProcess MainThread config add_section DEBUG Add section: (title: 'align.fan', info: 'FAN Aligner options.\nFast on GPU, slow on CPU. Best aligner.')
01/19/2021 16:18:03 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)
01/19/2021 16:18:03 MainProcess MainThread _config load_module DEBUG Added defaults: align.fan
01/19/2021 16:18:03 MainProcess MainThread _config load_module DEBUG Adding defaults: (filename: cv2_dnn_defaults.py, module_path: plugins.extract.detect, plugin_type: detect
01/19/2021 16:18:03 MainProcess MainThread _config load_module DEBUG Importing defaults module: plugins.extract.detect.cv2_dnn_defaults
01/19/2021 16:18:03 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')
01/19/2021 16:18:03 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)
01/19/2021 16:18:03 MainProcess MainThread _config load_module DEBUG Added defaults: detect.cv2_dnn
01/19/2021 16:18:03 MainProcess MainThread _config load_module DEBUG Adding defaults: (filename: mtcnn_defaults.py, module_path: plugins.extract.detect, plugin_type: detect
01/19/2021 16:18:03 MainProcess MainThread _config load_module DEBUG Importing defaults module: plugins.extract.detect.mtcnn_defaults
01/19/2021 16:18:03 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.')
01/19/2021 16:18:03 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)
01/19/2021 16:18:03 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)
01/19/2021 16:18:03 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)
01/19/2021 16:18:03 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)
01/19/2021 16:18:03 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)
01/19/2021 16:18:03 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)
01/19/2021 16:18:03 MainProcess MainThread _config load_module DEBUG Added defaults: detect.mtcnn
01/19/2021 16:18:03 MainProcess MainThread _config load_module DEBUG Adding defaults: (filename: s3fd_defaults.py, module_path: plugins.extract.detect, plugin_type: detect
01/19/2021 16:18:03 MainProcess MainThread _config load_module DEBUG Importing defaults module: plugins.extract.detect.s3fd_defaults
01/19/2021 16:18:03 MainProcess MainThread config add_section DEBUG Add section: (title: 'detect.s3fd', info: 'S3FD Detector options.\nFast on GPU, slow on CPU. Can detect more faces and fewer false positives than other GPU detectors, but is a lot more resource intensive.')
01/19/2021 16:18:03 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)
01/19/2021 16:18:03 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)
01/19/2021 16:18:03 MainProcess MainThread _config load_module DEBUG Added defaults: detect.s3fd
01/19/2021 16:18:03 MainProcess MainThread _config load_module DEBUG Adding defaults: (filename: unet_dfl_defaults.py, module_path: plugins.extract.mask, plugin_type: mask
01/19/2021 16:18:03 MainProcess MainThread _config load_module DEBUG Importing defaults module: plugins.extract.mask.unet_dfl_defaults
01/19/2021 16:18:03 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.')
01/19/2021 16:18:03 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)
01/19/2021 16:18:03 MainProcess MainThread _config load_module DEBUG Added defaults: mask.unet_dfl
01/19/2021 16:18:03 MainProcess MainThread _config load_module DEBUG Adding defaults: (filename: vgg_clear_defaults.py, module_path: plugins.extract.mask, plugin_type: mask
01/19/2021 16:18:03 MainProcess MainThread _config load_module DEBUG Importing defaults module: plugins.extract.mask.vgg_clear_defaults
01/19/2021 16:18:03 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.')
01/19/2021 16:18:03 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)
01/19/2021 16:18:03 MainProcess MainThread _config load_module DEBUG Added defaults: mask.vgg_clear
01/19/2021 16:18:03 MainProcess MainThread _config load_module DEBUG Adding defaults: (filename: vgg_obstructed_defaults.py, module_path: plugins.extract.mask, plugin_type: mask
01/19/2021 16:18:03 MainProcess MainThread _config load_module DEBUG Importing defaults module: plugins.extract.mask.vgg_obstructed_defaults
01/19/2021 16:18:03 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.')
01/19/2021 16:18:03 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)
01/19/2021 16:18:03 MainProcess MainThread _config load_module DEBUG Added defaults: mask.vgg_obstructed
01/19/2021 16:18:03 MainProcess MainThread config handle_config DEBUG Handling config
01/19/2021 16:18:03 MainProcess MainThread config check_exists DEBUG Config file exists: 'D:\faceswap\config\extract.ini'
01/19/2021 16:18:03 MainProcess MainThread config load_config VERBOSE Loading config: 'D:\faceswap\config\extract.ini'
01/19/2021 16:18:03 MainProcess MainThread config validate_config DEBUG Validating config
01/19/2021 16:18:03 MainProcess MainThread config check_config_change DEBUG Default config has not changed
01/19/2021 16:18:03 MainProcess MainThread config check_config_choices DEBUG Checking config choices
01/19/2021 16:18:03 MainProcess MainThread config check_config_choices DEBUG Checked config choices
01/19/2021 16:18:03 MainProcess MainThread config validate_config DEBUG Validated config
01/19/2021 16:18:03 MainProcess MainThread config handle_config DEBUG Handled config
01/19/2021 16:18:03 MainProcess MainThread config __init__ DEBUG Initialized: Config
01/19/2021 16:18:03 MainProcess MainThread config get DEBUG Getting config item: (section: 'global', option: 'allow_growth')
01/19/2021 16:18:03 MainProcess MainThread config get DEBUG Returning item: (type: <class 'bool'>, value: False)
01/19/2021 16:18:03 MainProcess MainThread utils _get DEBUG Model exists: D:\faceswap\plugins\extract\recognition\.cache\vggface2_resnet50_v2.h5
01/19/2021 16:18:03 MainProcess MainThread _base __init__ DEBUG Initialized _base VGGFace2
01/19/2021 16:18:03 MainProcess MainThread vgg_face2_keras __init__ DEBUG Initialized VGGFace2
01/19/2021 16:18:03 MainProcess MainThread session load_model VERBOSE Initializing plugin model: VGG_Face2
01/19/2021 16:18:10 MainProcess MainThread sort sort_face INFO Sorting by identity similarity...
01/19/2021 16:18:10 MainProcess MainThread image __init__ DEBUG Initializing FacesLoader: (path: C:\Users\wolfv\OneDrive\Pictures\Camera Roll, count: None)
01/19/2021 16:18:10 MainProcess MainThread image __init__ DEBUG Initializing FacesLoader: (path: C:\Users\wolfv\OneDrive\Pictures\Camera Roll, queue_size: 8, fast_count: True, skip_list: None, count: None)
01/19/2021 16:18:10 MainProcess MainThread image __init__ DEBUG Initializing FacesLoader: (path: C:\Users\wolfv\OneDrive\Pictures\Camera Roll, queue_size: 8, args: None)
01/19/2021 16:18:10 MainProcess MainThread queue_manager get_queue DEBUG QueueManager getting: 'FacesLoader'
01/19/2021 16:18:10 MainProcess MainThread queue_manager add_queue DEBUG QueueManager adding: (name: 'FacesLoader', maxsize: 8)
01/19/2021 16:18:10 MainProcess MainThread queue_manager add_queue DEBUG QueueManager added: (name: 'FacesLoader')
01/19/2021 16:18:10 MainProcess MainThread queue_manager get_queue DEBUG QueueManager got: 'FacesLoader'
01/19/2021 16:18:10 MainProcess MainThread image _check_for_video DEBUG Input 'C:\Users\wolfv\OneDrive\Pictures\Camera Roll' is_video: False
01/19/2021 16:18:10 MainProcess MainThread image _get_fps DEBUG 25.0
01/19/2021 16:18:10 MainProcess MainThread utils get_image_paths DEBUG Scanned Folder contains 3 files
01/19/2021 16:18:10 MainProcess MainThread utils get_image_paths DEBUG Returning 0 images
01/19/2021 16:18:10 MainProcess MainThread image _get_count_and_filelist DEBUG count: 0
01/19/2021 16:18:10 MainProcess MainThread image load DEBUG Initializing Load Generator
01/19/2021 16:18:10 MainProcess MainThread image _set_thread DEBUG Setting thread
01/19/2021 16:18:10 MainProcess MainThread multithreading __init__ DEBUG Initializing MultiThread: (target: 'FacesLoader', thread_count: 1)
01/19/2021 16:18:10 MainProcess MainThread multithreading __init__ DEBUG Initialized MultiThread: 'FacesLoader'
01/19/2021 16:18:10 MainProcess MainThread image _set_thread DEBUG Set thread: <lib.multithreading.MultiThread object at 0x0000018C4F3DDC40>
01/19/2021 16:18:10 MainProcess MainThread multithreading start DEBUG Starting thread(s): 'FacesLoader'
01/19/2021 16:18:10 MainProcess MainThread multithreading start DEBUG Starting thread 1 of 1: 'FacesLoader_0'
01/19/2021 16:18:10 MainProcess FacesLoader_0 image _process DEBUG Load iterator: <bound method FacesLoader._from_folder of <lib.image.FacesLoader object at 0x0000018C5E15B4C0>>
01/19/2021 16:18:10 MainProcess FacesLoader_0 image _from_folder DEBUG Loading images from folder: 'C:\Users\wolfv\OneDrive\Pictures\Camera Roll'
01/19/2021 16:18:10 MainProcess MainThread multithreading start DEBUG Started all threads 'FacesLoader': 1
01/19/2021 16:18:10 MainProcess MainThread image load DEBUG Closing Load Generator
01/19/2021 16:18:10 MainProcess MainThread image close DEBUG Received Close
01/19/2021 16:18:10 MainProcess MainThread multithreading join DEBUG Joining Threads: 'FacesLoader'
01/19/2021 16:18:10 MainProcess MainThread multithreading join DEBUG Joining Thread: 'FacesLoader_0'
01/19/2021 16:18:10 MainProcess MainThread multithreading join DEBUG Joined all Threads: 'FacesLoader'
01/19/2021 16:18:10 MainProcess MainThread image close DEBUG Closed
01/19/2021 16:18:10 MainProcess MainThread sort sort_face INFO Sorting by ward linkage...
01/19/2021 16:18:10 MainProcess MainThread vgg_face2_keras sorted_similarity INFO Sorting face distances. Depending on your dataset this may take some time...
Traceback (most recent call last):
File "D:\faceswap\lib\cli\launcher.py", line 182, in execute_script
process.process()
File "D:\faceswap\tools\sort\sort.py", line 112, in process
self.sort_process()
File "D:\faceswap\tools\sort\sort.py", line 167, in sort_process
img_list = getattr(self, sort_method)()
File "D:\faceswap\tools\sort\sort.py", line 229, in sort_face
indices = self._vgg_face.sorted_similarity(np.array(preds), method="ward")
File "D:\faceswap\plugins\extract\recognition\vgg_face2_keras.py", line 140, in sorted_similarity
num_predictions, dims = predictions.shape
ValueError: not enough values to unpack (expected 2, got 1)
============ System Information ============
encoding: cp1252
git_branch: master
git_commits: 15bbc95 Update Dockerfile (#1112)
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 1060 3GB
gpu_devices_active: GPU_0
gpu_driver: 461.09
gpu_vram: GPU_0: 3072MB
os_machine: AMD64
os_platform: Windows-10-10.0.20180-SP0
os_release: 10
py_command: D:\faceswap\tools.py sort -i C:/Users/wolfv/OneDrive/Pictures/Camera Roll -a C:/Users/wolfv/OneDrive/Pictures/Camera Roll/WIN_20210119_14_55_15_Pro_alignments.fsa -s face -t -1.0 -fp rename -g hist -b 5 -lf sort_log.json -L INFO -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: AMD64 Family 23 Model 1 Stepping 1, AuthenticAMD
sys_ram: Total: 8126MB, Available: 3472MB, Used: 4654MB, Free: 3472MB
=============== 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_1610483308194/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\wolfv\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 4.7 pyhd3eb1b0_1
scikit-learn 0.23.2 py38h47e9c7a_0
scipy 1.5.2 py38h14eb087_0
setuptools 51.1.2 py38haa95532_4
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: prompt
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: 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
clipnorm: True
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.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