Heres the log:
Code: Select all
07/23/2020 19:42:07 MainProcess MainThread logger log_setup INFO Log level set to: INFO
07/23/2020 19:42:07 MainProcess MainThread launcher execute_script DEBUG Executing: sort. PID: 15924
07/23/2020 19:42:09 MainProcess MainThread launcher _test_for_tf_version DEBUG Installed Tensorflow Version: 1.15
07/23/2020 19:42:09 MainProcess MainThread queue_manager __init__ DEBUG Initializing QueueManager
07/23/2020 19:42:09 MainProcess MainThread queue_manager __init__ DEBUG Initialized QueueManager
07/23/2020 19:42:09 MainProcess MainThread sort process VERBOSE No output directory provided. Using input dir as output dir.
07/23/2020 19:42:09 MainProcess MainThread config __init__ DEBUG Initializing: Config
07/23/2020 19:42:09 MainProcess MainThread config get_config_file DEBUG Config File location: 'C:\Users\ebens\faceswap\config\extract.ini'
07/23/2020 19:42:09 MainProcess MainThread _config set_defaults DEBUG Setting defaults
07/23/2020 19:42:09 MainProcess MainThread _config set_globals DEBUG Setting global config
07/23/2020 19:42:09 MainProcess MainThread config add_section DEBUG Add section: (title: 'global', info: 'Options that apply to all extraction plugins')
07/23/2020 19:42:09 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)
07/23/2020 19:42:09 MainProcess MainThread _config load_module DEBUG Adding defaults: (filename: fan_defaults.py, module_path: plugins.extract.align, plugin_type: align
07/23/2020 19:42:09 MainProcess MainThread _config load_module DEBUG Importing defaults module: plugins.extract.align.fan_defaults
07/23/2020 19:42:09 MainProcess MainThread config add_section DEBUG Add section: (title: 'align.fan', info: 'FAN Aligner options.Fast on GPU, slow on CPU. Best aligner.')
07/23/2020 19:42:09 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)
07/23/2020 19:42:09 MainProcess MainThread _config load_module DEBUG Added defaults: align.fan
07/23/2020 19:42:09 MainProcess MainThread _config load_module DEBUG Adding defaults: (filename: cv2_dnn_defaults.py, module_path: plugins.extract.detect, plugin_type: detect
07/23/2020 19:42:09 MainProcess MainThread _config load_module DEBUG Importing defaults module: plugins.extract.detect.cv2_dnn_defaults
07/23/2020 19:42:09 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')
07/23/2020 19:42:09 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)
07/23/2020 19:42:09 MainProcess MainThread _config load_module DEBUG Added defaults: detect.cv2_dnn
07/23/2020 19:42:09 MainProcess MainThread _config load_module DEBUG Adding defaults: (filename: mtcnn_defaults.py, module_path: plugins.extract.detect, plugin_type: detect
07/23/2020 19:42:09 MainProcess MainThread _config load_module DEBUG Importing defaults module: plugins.extract.detect.mtcnn_defaults
07/23/2020 19:42:09 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.')
07/23/2020 19:42:09 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)
07/23/2020 19:42:09 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)
07/23/2020 19:42:09 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)
07/23/2020 19:42:09 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)
07/23/2020 19:42:09 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)
07/23/2020 19:42:09 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)
07/23/2020 19:42:09 MainProcess MainThread _config load_module DEBUG Added defaults: detect.mtcnn
07/23/2020 19:42:09 MainProcess MainThread _config load_module DEBUG Adding defaults: (filename: s3fd_defaults.py, module_path: plugins.extract.detect, plugin_type: detect
07/23/2020 19:42:09 MainProcess MainThread _config load_module DEBUG Importing defaults module: plugins.extract.detect.s3fd_defaults
07/23/2020 19:42:09 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.')
07/23/2020 19:42:09 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)
07/23/2020 19:42:09 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)
07/23/2020 19:42:09 MainProcess MainThread _config load_module DEBUG Added defaults: detect.s3fd
07/23/2020 19:42:09 MainProcess MainThread _config load_module DEBUG Adding defaults: (filename: unet_dfl_defaults.py, module_path: plugins.extract.mask, plugin_type: mask
07/23/2020 19:42:09 MainProcess MainThread _config load_module DEBUG Importing defaults module: plugins.extract.mask.unet_dfl_defaults
07/23/2020 19:42:09 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.')
07/23/2020 19:42:09 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)
07/23/2020 19:42:09 MainProcess MainThread _config load_module DEBUG Added defaults: mask.unet_dfl
07/23/2020 19:42:09 MainProcess MainThread _config load_module DEBUG Adding defaults: (filename: vgg_clear_defaults.py, module_path: plugins.extract.mask, plugin_type: mask
07/23/2020 19:42:09 MainProcess MainThread _config load_module DEBUG Importing defaults module: plugins.extract.mask.vgg_clear_defaults
07/23/2020 19:42:09 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.')
07/23/2020 19:42:09 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)
07/23/2020 19:42:09 MainProcess MainThread _config load_module DEBUG Added defaults: mask.vgg_clear
07/23/2020 19:42:09 MainProcess MainThread _config load_module DEBUG Adding defaults: (filename: vgg_obstructed_defaults.py, module_path: plugins.extract.mask, plugin_type: mask
07/23/2020 19:42:09 MainProcess MainThread _config load_module DEBUG Importing defaults module: plugins.extract.mask.vgg_obstructed_defaults
07/23/2020 19:42:09 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.')
07/23/2020 19:42:09 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)
07/23/2020 19:42:09 MainProcess MainThread _config load_module DEBUG Added defaults: mask.vgg_obstructed
07/23/2020 19:42:09 MainProcess MainThread config handle_config DEBUG Handling config
07/23/2020 19:42:09 MainProcess MainThread config check_exists DEBUG Config file exists: 'C:\Users\ebens\faceswap\config\extract.ini'
07/23/2020 19:42:09 MainProcess MainThread config load_config VERBOSE Loading config: 'C:\Users\ebens\faceswap\config\extract.ini'
07/23/2020 19:42:09 MainProcess MainThread config validate_config DEBUG Validating config
07/23/2020 19:42:09 MainProcess MainThread config check_config_change DEBUG Default config has not changed
07/23/2020 19:42:09 MainProcess MainThread config check_config_choices DEBUG Checking config choices
07/23/2020 19:42:09 MainProcess MainThread config check_config_choices DEBUG Checked config choices
07/23/2020 19:42:09 MainProcess MainThread config validate_config DEBUG Validated config
07/23/2020 19:42:09 MainProcess MainThread config handle_config DEBUG Handled config
07/23/2020 19:42:09 MainProcess MainThread config __init__ DEBUG Initialized: Config
07/23/2020 19:42:09 MainProcess MainThread config get DEBUG Getting config item: (section: 'global', option: 'allow_growth')
07/23/2020 19:42:09 MainProcess MainThread config get DEBUG Returning item: (type: <class 'bool'>, value: False)
07/23/2020 19:42:09 MainProcess MainThread config get DEBUG Getting config item: (section: 'global', option: 'allow_growth')
07/23/2020 19:42:09 MainProcess MainThread config get DEBUG Returning item: (type: <class 'bool'>, value: False)
07/23/2020 19:42:09 MainProcess MainThread vgg_face2_keras __init__ DEBUG Initializing VGGFace2: (backend: CPU, allow_growth: False, loglevel: INFO)
07/23/2020 19:42:09 MainProcess MainThread utils download_model INFO Downloading model: 'vggface2_resnet50' from: https://github.com/deepfakes-models/faceswap-models/releases/download/v1.10.2/vggface2_resnet50_v2.zip
07/23/2020 19:42:10 MainProcess MainThread utils download_model DEBUG header info: {x-amz-id-2: n9zXTRb3JZ6UimRSEebGpdyw7kQ1x60/W21YTBgyFva2kbyFBr64xuskGbYQ+EsJXlIVyeN29b4=\nx-amz-request-id: 9342FCB7A6581D10\nDate: Fri, 24 Jul 2020 00:43:01 GMT\nLast-Modified: Fri, 12 Jul 2019 22:26:21 GMT\nETag: "838180971b59b95f51d2fd6eaea5dc2d"\nContent-Disposition: attachment; filename=vggface2_resnet50_v2.zip\nAccept-Ranges: bytes\nContent-Type: application/octet-stream\nContent-Length: 91407875\nServer: AmazonS3\nConnection: close\n\n}
07/23/2020 19:42:10 MainProcess MainThread utils download_model DEBUG Return Code: 200
07/23/2020 19:42:27 MainProcess MainThread utils unzip_model INFO Extracting: 'vggface2_resnet50'
07/23/2020 19:42:27 MainProcess MainThread utils write_model DEBUG Zipfile: Filenames: ['vggface2_resnet50_v2.h5'], Total Size: 98979928
07/23/2020 19:42:27 MainProcess MainThread utils write_model DEBUG Extracting from: 'C:\Users\ebens\faceswap\plugins\extract\recognition\.cache\vggface2_resnet50_v2.zip' to 'C:\Users\ebens\faceswap\plugins\extract\recognition\.cache\vggface2_resnet50_v2.h5'
07/23/2020 19:42:29 MainProcess MainThread module_wrapper _tfmw_add_deprecation_warning DEBUG From C:\Users\ebens\anaconda3\envs\faceswap\lib\site-packages\keras\backend\tensorflow_backend.py:517: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.\n
07/23/2020 19:42:30 MainProcess MainThread module_wrapper _tfmw_add_deprecation_warning DEBUG From C:\Users\ebens\anaconda3\envs\faceswap\lib\site-packages\keras\backend\tensorflow_backend.py:245: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.\n
Traceback (most recent call last):
File "C:\Users\ebens\faceswap\lib\cli\launcher.py", line 155, in execute_script
process.process()
File "C:\Users\ebens\faceswap\tools\sort\sort.py", line 67, in process
loglevel=self.args.loglevel)
File "C:\Users\ebens\faceswap\lib\vgg_face2_keras.py", line 51, in __init__
self.model = self._get_model(git_model_id, model_filename, backend, allow_growth)
File "C:\Users\ebens\faceswap\lib\vgg_face2_keras.py", line 101, in _get_model
"L2_normalize": L2_normalize
File "C:\Users\ebens\anaconda3\envs\faceswap\lib\site-packages\keras\engine\saving.py", line 419, in load_model
model = _deserialize_model(f, custom_objects, compile)
File "C:\Users\ebens\anaconda3\envs\faceswap\lib\site-packages\keras\engine\saving.py", line 225, in _deserialize_model
model = model_from_config(model_config, custom_objects=custom_objects)
File "C:\Users\ebens\anaconda3\envs\faceswap\lib\site-packages\keras\engine\saving.py", line 458, in model_from_config
return deserialize(config, custom_objects=custom_objects)
File "C:\Users\ebens\anaconda3\envs\faceswap\lib\site-packages\keras\layers\__init__.py", line 55, in deserialize
printable_module_name='layer')
File "C:\Users\ebens\anaconda3\envs\faceswap\lib\site-packages\keras\utils\generic_utils.py", line 145, in deserialize_keras_object
list(custom_objects.items())))
File "C:\Users\ebens\anaconda3\envs\faceswap\lib\site-packages\keras\engine\network.py", line 1032, in from_config
process_node(layer, node_data)
File "C:\Users\ebens\anaconda3\envs\faceswap\lib\site-packages\keras\engine\network.py", line 991, in process_node
layer(unpack_singleton(input_tensors), **kwargs)
File "C:\Users\ebens\anaconda3\envs\faceswap\lib\site-packages\keras\engine\base_layer.py", line 457, in __call__
output = self.call(inputs, **kwargs)
File "C:\Users\ebens\anaconda3\envs\faceswap\lib\site-packages\keras\layers\normalization.py", line 185, in call
epsilon=self.epsilon)
File "C:\Users\ebens\anaconda3\envs\faceswap\lib\site-packages\keras\backend\tensorflow_backend.py", line 1858, in normalize_batch_in_training
if not _has_nchw_support() and list(reduction_axes) == [0, 2, 3]:
File "C:\Users\ebens\anaconda3\envs\faceswap\lib\site-packages\keras\backend\tensorflow_backend.py", line 291, in _has_nchw_support
explicitly_on_cpu = _is_current_explicit_device('CPU')
File "C:\Users\ebens\anaconda3\envs\faceswap\lib\site-packages\keras\backend\tensorflow_backend.py", line 266, in _is_current_explicit_device
device = _get_current_tf_device()
File "C:\Users\ebens\anaconda3\envs\faceswap\lib\site-packages\keras\backend\tensorflow_backend.py", line 247, in _get_current_tf_device
g._apply_device_functions(op)
File "C:\Users\ebens\anaconda3\envs\faceswap\lib\site-packages\tensorflow_core\python\framework\ops.py", line 4398, in _apply_device_functions
op._set_device_from_string(device_string)
AttributeError: '_TfDeviceCaptureOp' object has no attribute '_set_device_from_string'
============ System Information ============
encoding: cp1252
git_branch: master
git_commits: 2f15597 requirements.txt - typofix
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_devices_active:
gpu_driver: No Nvidia driver found
gpu_vram:
os_machine: AMD64
os_platform: Windows-10-10.0.18362-SP0
os_release: 10
py_command: C:\Users\ebens\faceswap\tools.py sort -i C:/Users/ebens/Desktop/Faceswap/Projects/Trump -s face -t -1.0 -fp rename -g hist -b 5 -be CPU -lf sort_log.json -L INFO -gui
py_conda_version: conda 4.8.3
py_implementation: CPython
py_version: 3.7.7
py_virtual_env: True
sys_cores: 8
sys_processor: Intel64 Family 6 Model 142 Stepping 10, GenuineIntel
sys_ram: Total: 8078MB, Available: 3727MB, Used: 4351MB, Free: 3727MB
=============== Pip Packages ===============
absl-py==0.9.0
aiohttp==3.6.2
altgraph==0.17
animation==0.0.6
astor==0.8.0
async-timeout==3.0.1
attrs==19.3.0
blinker==1.4
brotlipy==0.7.0
cachetools==4.1.0
certifi==2020.4.5.1
cffi==1.14.0
chardet==3.0.4
click==7.1.2
cloudpickle @ file:///tmp/build/80754af9/cloudpickle_1594141588948/work
colorama==0.4.3
cryptography==2.9.2
cycler==0.10.0
cytoolz==0.10.1
dask @ file:///tmp/build/80754af9/dask-core_1594156306305/work
decorator==4.4.2
dhooks==1.1.3
discord.py==1.3.3
emoji==0.5.4
fastcluster==1.1.26
ffmpy==0.2.3
future==0.18.2
gast==0.2.2
google-auth @ file:///tmp/build/80754af9/google-auth_1594357566944/work
google-auth-oauthlib==0.4.1
google-pasta==0.2.0
grpcio==1.27.2
h5py==2.10.0
idna==2.9
imageio @ file:///tmp/build/80754af9/imageio_1594161405741/work
imageio-ffmpeg @ file:///home/conda/feedstock_root/build_artifacts/imageio-ffmpeg_1589202782679/work
joblib @ file:///tmp/build/80754af9/joblib_1594236160679/work
Keras==2.2.4
Keras-Applications @ file:///tmp/build/80754af9/keras-applications_1594366238411/work
Keras-Preprocessing==1.1.0
kiwisolver==1.2.0
Markdown==3.1.1
matplotlib @ file:///C:/ci/matplotlib-base_1592846084747/work
mkl-fft==1.1.0
mkl-random==1.1.1
mkl-service==2.3.0
multidict==4.7.6
networkx @ file:///tmp/build/80754af9/networkx_1594377231366/work
numpy==1.18.5
nvidia-ml-py3 @ git+https://github.com/deepfakes/nvidia-ml-py3.git@6fc29ac84b32bad877f078cb4a777c1548a00bf6
oauthlib==3.1.0
olefile==0.46
opencv-python==4.3.0.36
opt-einsum==3.1.0
pefile==2019.4.18
Pillow==7.1.2
playsound==1.2.2
pluginbase==1.0.0
protobuf==3.12.3
psutil==5.7.0
py-cpuinfo==5.0.0
pyasn1==0.4.8
pyasn1-modules==0.2.7
pycparser==2.20
PyInstaller==3.6
PyJWT==1.7.1
PyNaCl==1.3.0
pyOpenSSL @ file:///tmp/build/80754af9/pyopenssl_1594392929924/work
pyparsing==2.4.7
pyperclip==1.8.0
pyreadline==2.1
PySide2==5.14.2.1
PySimpleGUI==4.11.0
PySimpleGUIQt==0.34.0
PySocks==1.7.1
python-dateutil==2.8.1
PyWavelets==1.1.1
pywin32==227
pywin32-ctypes==0.2.0
PyYAML==5.3.1
requests==2.23.0
requests-oauthlib==1.3.0
rsa==4.0
scikit-image==0.16.2
scikit-learn @ file:///C:/ci/scikit-learn_1592847564598/work
scipy @ file:///C:/ci/scipy_1592916958183/work
selenium==3.141.0
shiboken2==5.14.2.1
six==1.15.0
tensorboard==2.2.1
tensorboard-plugin-wit==1.6.0
tensorflow==1.15.0
tensorflow-estimator==1.15.1
termcolor==1.1.0
threadpoolctl @ file:///tmp/tmp9twdgx9k/threadpoolctl-2.1.0-py3-none-any.whl
toolz==0.10.0
toposort==1.5
tornado==6.0.4
tqdm @ file:///tmp/build/80754af9/tqdm_1593446365756/work
urllib3==1.25.9
websocket-client==0.57.0
websockets==8.1
Werkzeug==0.16.1
win-inet-pton==1.1.0
wincertstore==0.2
wrapt==1.12.1
yarl==1.4.2
youtube-dl==2020.5.8
============== Conda Packages ==============
# packages in environment at C:\Users\ebens\anaconda3\envs\faceswap:
#
# Name Version Build Channel
_tflow_select 2.2.0 eigen
absl-py 0.9.0 py37_0
astor 0.8.0 py37_0
blas 1.0 mkl
blinker 1.4 py37_0
brotlipy 0.7.0 py37he774522_1000
ca-certificates 2020.6.24 0
cachetools 4.1.0 py_1
certifi 2020.6.20 py37_0
cffi 1.14.0 py37h7a1dbc1_0
chardet 3.0.4 py37_1003
click 7.1.2 py_0
cloudpickle 1.5.0 py_0
cryptography 2.9.2 py37h7a1dbc1_0
cycler 0.10.0 py37_0
cytoolz 0.10.1 py37he774522_0
dask-core 2.20.0 py_0
decorator 4.4.2 py_0
fastcluster 1.1.26 py37h9b59f54_1 conda-forge
ffmpeg 4.3 ha925a31_0 conda-forge
ffmpy 0.2.3 pypi_0 pypi
freetype 2.10.2 hd328e21_0
gast 0.2.2 py37_0
git 2.23.0 h6bb4b03_0
google-auth 1.17.2 py_0
google-auth-oauthlib 0.4.1 py_2
google-pasta 0.2.0 py_0
grpcio 1.27.2 py37h351948d_0
h5py 2.10.0 py37h5e291fa_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 0.4.2 py_0 conda-forge
intel-openmp 2020.1 216
joblib 0.16.0 py_0
jpeg 9b hb83a4c4_2
keras 2.2.4 0
keras-applications 1.0.8 py_1
keras-base 2.2.4 py37_0
keras-preprocessing 1.1.0 py_1
kiwisolver 1.2.0 py37h74a9793_0
libpng 1.6.37 h2a8f88b_0
libprotobuf 3.12.3 h7bd577a_0
libtiff 4.1.0 h56a325e_1
lz4-c 1.9.2 h62dcd97_0
markdown 3.1.1 py37_0
matplotlib 3.2.2 0
matplotlib-base 3.2.2 py37h64f37c6_0
mkl 2020.1 216
mkl-service 2.3.0 py37hb782905_0
mkl_fft 1.1.0 py37h45dec08_0
mkl_random 1.1.1 py37h47e9c7a_0
networkx 2.4 py_1
numpy 1.18.5 py37h6530119_0
numpy-base 1.18.5 py37hc3f5095_0
nvidia-ml-py3 7.352.1 pypi_0 pypi
oauthlib 3.1.0 py_0
olefile 0.46 py37_0
opencv-python 4.3.0.36 pypi_0 pypi
openssl 1.1.1g he774522_0
opt_einsum 3.1.0 py_0
pathlib 1.0.1 py37_2
pillow 7.2.0 py37hcc1f983_0
pip 20.1.1 py37_1
protobuf 3.12.3 py37h33f27b4_0
pyasn1 0.4.8 py_0
pyasn1-modules 0.2.7 py_0
pycparser 2.20 py_2
pyjwt 1.7.1 py37_0
pyopenssl 19.1.0 py_1
pyparsing 2.4.7 py_0
pyqt 5.9.2 py37h6538335_2
pyreadline 2.1 py37_1
pysocks 1.7.1 py37_1
python 3.7.7 h81c818b_4
python-dateutil 2.8.1 py_0
python_abi 3.7 1_cp37m conda-forge
pywavelets 1.1.1 py37he774522_0
pywin32 227 py37he774522_1
pyyaml 5.3.1 py37he774522_1
qt 5.9.7 vc14h73c81de_0
requests 2.24.0 py_0
requests-oauthlib 1.3.0 py_0
rsa 4.0 py_0
scikit-image 0.16.2 py37h47e9c7a_0
scikit-learn 0.23.1 py37h25d0782_0
scipy 1.5.0 py37h9439919_0
setuptools 49.2.0 py37_0
sip 4.19.8 py37h6538335_0
six 1.15.0 py_0
sqlite 3.32.3 h2a8f88b_0
tensorboard 2.2.1 pyh532a8cf_0
tensorboard-plugin-wit 1.6.0 py_0
tensorflow 1.15.0 eigen_py37h9f89a44_0
tensorflow-base 1.15.0 eigen_py37h07d2309_0
tensorflow-estimator 1.15.1 pyh2649769_0
termcolor 1.1.0 py37_1
threadpoolctl 2.1.0 pyh5ca1d4c_0
tk 8.6.10 he774522_0
toolz 0.10.0 py_0
toposort 1.5 py_3 conda-forge
tornado 6.0.4 py37he774522_1
tqdm 4.47.0 py_0
urllib3 1.25.9 py_0
vc 14.1 h0510ff6_4
vs2015_runtime 14.16.27012 hf0eaf9b_3
werkzeug 0.16.1 py_0
wheel 0.34.2 py37_0
win_inet_pton 1.1.0 py37_0
wincertstore 0.2 py37_0
wrapt 1.12.1 py37he774522_1
xz 5.2.5 h62dcd97_0
yaml 0.2.5 he774522_0
zlib 1.2.11 h62dcd97_4
zstd 1.4.5 ha9fde0e_0
================= Configs ==================
--------- .faceswap ---------
backend: cpu
--------- 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: unsharp_mask
amount: 150
radius: 0.3
threshold: 5.0
[writer.ffmpeg]
container: mp4
codec: libx264
crf: 23
preset: medium
tune: none
profile: auto
level: auto
[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]
coverage: 68.75
mask_type: none
mask_blur_kernel: 3
mask_threshold: 4
learn_mask: False
icnr_init: False
conv_aware_init: False
reflect_padding: False
penalized_mask_loss: True
loss_function: mae
learning_rate: 5e-05
[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
color_lightness: 30
color_ab: 8
color_clahe_chance: 50
color_clahe_max_size: 4