Ah ok. It's not an attatchment option so i'll post the text...
Code: Select all
08/09/2019 17:08:07 Aligner.run MainThread _base initialize DEBUG _base initialize Align: (PID: 5704, args: (), kwargs: {'event': <multiprocessing.synchronize.Event object at 0x0000019918BEEEF0>, 'error': <multiprocessing.synchronize.Event object at 0x000001991A5DB7B8>, 'log_init': <function set_root_logger at 0x0000019918EA5268>, 'log_queue': <AutoProxy[Queue] object, typeid 'Queue' at 0x1991ca5cc18>, 'log_level': 10, 'in_queue': <AutoProxy[Queue] object, typeid 'Queue' at 0x1991ca5cd30>, 'out_queue': <AutoProxy[Queue] object, typeid 'Queue' at 0x1991ca5cda0>})
08/09/2019 17:08:07 Aligner.run MainThread fan_amd initialize INFO Initializing Face Alignment Network...
08/09/2019 17:08:07 Aligner.run MainThread fan_amd initialize DEBUG fan initialize: (args: () kwargs: {'event': <multiprocessing.synchronize.Event object at 0x0000019918BEEEF0>, 'error': <multiprocessing.synchronize.Event object at 0x000001991A5DB7B8>, 'log_init': <function set_root_logger at 0x0000019918EA5268>, 'log_queue': <AutoProxy[Queue] object, typeid 'Queue' at 0x1991ca5cc18>, 'log_level': 10, 'in_queue': <AutoProxy[Queue] object, typeid 'Queue' at 0x1991ca5cd30>, 'out_queue': <AutoProxy[Queue] object, typeid 'Queue' at 0x1991ca5cda0>})
08/09/2019 17:08:07 Aligner.run MainThread fan_amd load_model VERBOSE Initializing Face Alignment Network model (Keras version).
08/09/2019 17:08:08 Aligner.run MainThread library _logger_callback INFO Opening device "opencl_amd_ellesmere.0"
08/09/2019 17:08:08 Aligner.run MainThread _base run ERROR Caught exception in child process: 5704
08/09/2019 17:08:08 Aligner.run MainThread _base run ERROR Traceback:
Traceback (most recent call last):
File "C:\Users\KB\faceswap\plugins\extract\align\_base.py", line 112, in run
self.align(*args, **kwargs)
File "C:\Users\KB\faceswap\plugins\extract\align\_base.py", line 127, in align
self.initialize(*args, **kwargs)
File "C:\Users\KB\faceswap\plugins\extract\align\fan_amd.py", line 40, in initialize
raise err
File "C:\Users\KB\faceswap\plugins\extract\align\fan_amd.py", line 35, in initialize
self.model = FAN(self.model_path)
File "C:\Users\KB\faceswap\plugins\extract\align\fan_amd.py", line 258, in __init__
self.load_model()
File "C:\Users\KB\faceswap\plugins\extract\align\fan_amd.py", line 265, in load_model
custom_objects={'TorchBatchNorm2D': TorchBatchNorm2D}
File "C:\Users\KB\MiniConda3\envs\faceswap\lib\site-packages\keras\engine\saving.py", line 419, in load_model
model = _deserialize_model(f, custom_objects, compile)
File "C:\Users\KB\MiniConda3\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\KB\MiniConda3\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\KB\MiniConda3\envs\faceswap\lib\site-packages\keras\layers\__init__.py", line 55, in deserialize
printable_module_name='layer')
File "C:\Users\KB\MiniConda3\envs\faceswap\lib\site-packages\keras\utils\generic_utils.py", line 145, in deserialize_keras_object
list(custom_objects.items())))
File "C:\Users\KB\MiniConda3\envs\faceswap\lib\site-packages\keras\engine\network.py", line 1032, in from_config
process_node(layer, node_data)
File "C:\Users\KB\MiniConda3\envs\faceswap\lib\site-packages\keras\engine\network.py", line 991, in process_node
layer(unpack_singleton(input_tensors), **kwargs)
File "C:\Users\KB\MiniConda3\envs\faceswap\lib\site-packages\keras\engine\base_layer.py", line 457, in __call__
output = self.call(inputs, **kwargs)
File "C:\Users\KB\MiniConda3\envs\faceswap\lib\site-packages\keras\layers\convolutional.py", line 171, in call
dilation_rate=self.dilation_rate)
File "C:\Users\KB\MiniConda3\envs\faceswap\lib\site-packages\plaidml\keras\backend.py", line 567, in conv2d
return conv(x, kernel, strides, padding, data_format, dilation_rate)
File "C:\Users\KB\MiniConda3\envs\faceswap\lib\site-packages\plaidml\keras\backend.py", line 524, in conv
winograd_allowed=not plaidml.settings.prohibit_winograd,
AttributeError: '_Settings' object has no attribute 'prohibit_winograd'
08/09/2019 17:08:10 MainProcess MainThread plaidml_tools initialize DEBUG PlaidML already initialized
08/09/2019 17:08:10 MainProcess MainThread plaidml_tools get_supported_devices DEBUG [<plaidml._DeviceConfig object at 0x000001E7ECAA1EB8>]
08/09/2019 17:08:10 MainProcess MainThread plaidml_tools get_all_devices DEBUG Experimental Devices: [<plaidml._DeviceConfig object at 0x000001E7ECAA03C8>]
08/09/2019 17:08:10 MainProcess MainThread plaidml_tools get_all_devices DEBUG [<plaidml._DeviceConfig object at 0x000001E7ECAA03C8>, <plaidml._DeviceConfig object at 0x000001E7ECAA1EB8>]
08/09/2019 17:08:10 MainProcess MainThread plaidml_tools __init__ DEBUG Initialized: PlaidMLStats
08/09/2019 17:08:10 MainProcess MainThread plaidml_tools supported_indices DEBUG [1]
08/09/2019 17:08:10 MainProcess MainThread plaidml_tools supported_indices DEBUG [1]
Traceback (most recent call last):
File "C:\Users\KB\faceswap\lib\cli.py", line 125, in execute_script
process.process()
File "C:\Users\KB\faceswap\scripts\extract.py", line 62, in process
self.run_extraction()
File "C:\Users\KB\faceswap\scripts\extract.py", line 183, in run_extraction
self.extractor.launch()
File "C:\Users\KB\faceswap\plugins\extract\pipeline.py", line 171, in launch
self.launch_aligner()
File "C:\Users\KB\faceswap\plugins\extract\pipeline.py", line 206, in launch_aligner
raise ValueError("Error initializing Aligner")
ValueError: Error initializing Aligner
============ System Information ============
encoding: cp1252
git_branch: master
git_commits: 1c29344 Bugfix: Fix extract/convert hanging when ffmpeg fails to get frame count. 7666fb6 Bugfix: Ignore config sections for trainers with no config
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: Advanced Micro Devices, Inc. - Ellesmere (experimental), GPU_1: Advanced Micro Devices, Inc. - Ellesmere (supported)
gpu_devices_active: GPU_0, GPU_1
gpu_driver: ['2841.5', '2841.5']
gpu_vram: GPU_0: 8192MB, GPU_1: 8192MB
os_machine: AMD64
os_platform: Windows-10-10.0.18362-SP0
os_release: 10
py_command: C:\Users\KB\faceswap\faceswap.py extract -i C:/Users/KB/Desktop/LEWIS DF TEMPLATE.mp4 -o C:/Users/KB/Desktop/Jingle Jam 2019/deepfake/faceswap/test 1/A image -l 0.4 --serializer json -D s3fd -A fan-amd -nm hist -bt 0.0 -sz 256 -min 40 -een 1 -si 0 -amd -L INFO -gui
py_conda_version: conda 4.7.11
py_implementation: CPython
py_version: 3.6.9
py_virtual_env: True
sys_cores: 4
sys_processor: Intel64 Family 6 Model 158 Stepping 9, GenuineIntel
sys_ram: Total: 16246MB, Available: 10559MB, Used: 5686MB, Free: 10559MB
=============== Pip Packages ===============
absl-py==0.7.1
astor==0.8.0
certifi==2019.6.16
cffi==1.12.3
cloudpickle==1.2.1
cycler==0.10.0
cytoolz==0.10.0
dask==2.2.0
decorator==4.4.0
enum34==1.1.6
fastcluster==1.1.25
ffmpy==0.2.2
gast==0.2.2
grpcio==1.16.1
h5py==2.9.0
imageio==2.5.0
imageio-ffmpeg==0.3.0
joblib==0.13.2
Keras==2.2.4
Keras-Applications==1.0.8
Keras-Preprocessing==1.1.0
kiwisolver==1.1.0
Markdown==3.1.1
matplotlib==2.2.2
mkl-fft==1.0.12
mkl-random==1.0.2
mkl-service==2.0.2
mock==3.0.5
networkx==2.3
numpy==1.16.2
nvidia-ml-py3==7.352.1
olefile==0.46
opencv-python==4.1.0.25
pathlib==1.0.1
Pillow==6.1.0
plaidml==0.6.4
plaidml-keras==0.6.3
protobuf==3.8.0
psutil==5.6.3
pycparser==2.19
pyparsing==2.4.0
pyreadline==2.1
python-dateutil==2.8.0
pytz==2019.1
PyWavelets==1.0.3
pywin32==223
PyYAML==5.1.1
scikit-image==0.15.0
scikit-learn==0.21.2
scipy==1.3.0
six==1.12.0
tensorboard==1.13.1
tensorflow==1.13.1
tensorflow-estimator==1.13.0
termcolor==1.1.0
toolz==0.10.0
toposort==1.5
tornado==6.0.3
tqdm==4.32.1
Werkzeug==0.15.4
wincertstore==0.2
============== Conda Packages ==============
# packages in environment at C:\Users\KB\MiniConda3\envs\faceswap:
#
# Name Version Build Channel
_tflow_select 2.3.0 mkl
absl-py 0.7.1 py36_0
astor 0.8.0 py36_0
blas 1.0 mkl
ca-certificates 2019.5.15 0
certifi 2019.6.16 py36_1
cffi 1.12.3 pypi_0 pypi
cloudpickle 1.2.1 py_0
cycler 0.10.0 py36h009560c_0
cytoolz 0.10.0 py36he774522_0
dask-core 2.2.0 py_0
decorator 4.4.0 py36_1
enum34 1.1.6 pypi_0 pypi
fastcluster 1.1.25 py36h830ac7b_1000 conda-forge
ffmpeg 4.1.3 h6538335_0 conda-forge
ffmpy 0.2.2 pypi_0 pypi
freetype 2.9.1 ha9979f8_1
gast 0.2.2 py36_0
grpcio 1.16.1 py36h351948d_1
h5py 2.9.0 py36h5e291fa_0
hdf5 1.10.4 h7ebc959_0
icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha66f8fd_1
imageio 2.5.0 py36_0
imageio-ffmpeg 0.3.0 py_0 conda-forge
intel-openmp 2019.4 245
joblib 0.13.2 py36_0
jpeg 9b hb83a4c4_2
keras 2.2.4 0
keras-applications 1.0.8 py_0
keras-base 2.2.4 py36_0
keras-preprocessing 1.1.0 py_1
kiwisolver 1.1.0 py36ha925a31_0
libmklml 2019.0.5 0
libpng 1.6.37 h2a8f88b_0
libprotobuf 3.8.0 h7bd577a_0
libtiff 4.0.10 hb898794_2
markdown 3.1.1 py36_0
matplotlib 2.2.2 py36had4c4a9_2
mkl 2019.4 245
mkl-service 2.0.2 py36he774522_0
mkl_fft 1.0.12 py36h14836fe_0
mkl_random 1.0.2 py36h343c172_0
mock 3.0.5 py36_0
networkx 2.3 py_0
numpy 1.16.2 py36h19fb1c0_0
numpy-base 1.16.2 py36hc3f5095_0
nvidia-ml-py3 7.352.1 pypi_0 pypi
olefile 0.46 py36_0
opencv-python 4.1.0.25 pypi_0 pypi
openssl 1.1.1c he774522_1
pathlib 1.0.1 py36_1
pillow 6.1.0 py36hdc69c19_0
pip 19.1.1 py36_0
plaidml 0.6.4 pypi_0 pypi
plaidml-keras 0.6.3 pypi_0 pypi
protobuf 3.8.0 py36h33f27b4_0
psutil 5.6.3 py36he774522_0
pycparser 2.19 pypi_0 pypi
pyparsing 2.4.0 py_0
pyqt 5.9.2 py36h6538335_2
pyreadline 2.1 py36_1
python 3.6.9 h5500b2f_0
python-dateutil 2.8.0 py36_0
pytz 2019.1 py_0
pywavelets 1.0.3 py36h8c2d366_1
pywin32 223 py36hfa6e2cd_1
pyyaml 5.1.1 py36he774522_0
qt 5.9.7 vc14h73c81de_0
scikit-image 0.15.0 py36ha925a31_0
scikit-learn 0.21.2 py36h6288b17_0
scipy 1.3.0 py36h29ff71c_0
setuptools 41.0.1 py36_0
sip 4.19.8 py36h6538335_0
six 1.12.0 py36_0
sqlite 3.29.0 he774522_0
tensorboard 1.13.1 py36h33f27b4_0
tensorflow 1.13.1 mkl_py36hd212fbe_0
tensorflow-base 1.13.1 mkl_py36hcaf7020_0
tensorflow-estimator 1.13.0 py_0
termcolor 1.1.0 py36_1
tk 8.6.8 hfa6e2cd_0
toolz 0.10.0 py_0
toposort 1.5 py_3 conda-forge
tornado 6.0.3 py36he774522_0
tqdm 4.32.1 py_0
vc 14.1 h0510ff6_4
vs2015_runtime 14.15.26706 h3a45250_4
werkzeug 0.15.4 py_0
wheel 0.33.4 py36_0
wincertstore 0.2 py36h7fe50ca_0
xz 5.2.4 h2fa13f4_4
yaml 0.1.7 hc54c509_2
zlib 1.2.11 h62dcd97_3
zstd 1.3.7 h508b16e_0