Hi,
i train with the Dlight Trainer (without problems) but when i want to use the converter....
Can someone help her? Faceswap is up to date (2019.11.10)Win10 OS
Code: Select all
11/10/2019 08:38:17 MainProcess MainThread config check_exists DEBUG Config file exists: 'C:\Users\denni\faceswap\config\convert.ini'
11/10/2019 08:38:17 MainProcess MainThread config load_config VERBOSE Loading config: 'C:\Users\denni\faceswap\config\convert.ini'
11/10/2019 08:38:17 MainProcess MainThread config validate_config DEBUG Validating config
11/10/2019 08:38:17 MainProcess MainThread config check_config_change DEBUG Default config has not changed
11/10/2019 08:38:17 MainProcess MainThread config check_config_choices DEBUG Checking config choices
11/10/2019 08:38:17 MainProcess MainThread config check_config_choices DEBUG Checked config choices
11/10/2019 08:38:17 MainProcess MainThread config validate_config DEBUG Validated config
11/10/2019 08:38:17 MainProcess MainThread config handle_config DEBUG Handled config
11/10/2019 08:38:17 MainProcess MainThread config __init__ DEBUG Initialized: Config
11/10/2019 08:38:17 MainProcess MainThread config get DEBUG Getting config item: (section: 'scaling.sharpen', option: 'method')
11/10/2019 08:38:17 MainProcess MainThread config get DEBUG Returning item: (type: <class 'str'>, value: gaussian)
11/10/2019 08:38:17 MainProcess MainThread config get DEBUG Getting config item: (section: 'scaling.sharpen', option: 'amount')
11/10/2019 08:38:17 MainProcess MainThread config get DEBUG Returning item: (type: <class 'int'>, value: 150)
11/10/2019 08:38:17 MainProcess MainThread config get DEBUG Getting config item: (section: 'scaling.sharpen', option: 'radius')
11/10/2019 08:38:17 MainProcess MainThread config get DEBUG Returning item: (type: <class 'float'>, value: 0.3)
11/10/2019 08:38:17 MainProcess MainThread config get DEBUG Getting config item: (section: 'scaling.sharpen', option: 'threshold')
11/10/2019 08:38:17 MainProcess MainThread config get DEBUG Returning item: (type: <class 'float'>, value: 5.0)
11/10/2019 08:38:17 MainProcess MainThread _base set_config DEBUG Config: {'method': 'gaussian', 'amount': 150, 'radius': 0.3, 'threshold': 5.0}
11/10/2019 08:38:17 MainProcess MainThread _base __init__ DEBUG config: {'method': 'gaussian', 'amount': 150, 'radius': 0.3, 'threshold': 5.0}
11/10/2019 08:38:17 MainProcess MainThread _base __init__ DEBUG Initialized Scaling
11/10/2019 08:38:17 MainProcess MainThread convert load_plugins DEBUG Loaded plugins: {'box': <plugins.convert.mask.box_blend.Mask object at 0x0000028D78266358>, 'mask': <plugins.convert.mask.mask_blend.Mask object at 0x0000028D78266D68>, 'color': <plugins.convert.color.avg_color.Color object at 0x0000028D782D8F60>, 'seamless': None, 'scaling': <plugins.convert.scaling.sharpen.Scaling object at 0x0000028D78302978>}
11/10/2019 08:38:17 MainProcess MainThread convert __init__ DEBUG Initialized Converter
11/10/2019 08:38:17 MainProcess MainThread convert __init__ DEBUG Initialized Convert
11/10/2019 08:38:17 MainProcess MainThread convert process DEBUG Starting Conversion
11/10/2019 08:38:17 MainProcess MainThread convert convert_images DEBUG Converting images
11/10/2019 08:38:17 MainProcess MainThread queue_manager get_queue DEBUG QueueManager getting: 'convert_out'
11/10/2019 08:38:17 MainProcess MainThread queue_manager get_queue DEBUG QueueManager got: 'convert_out'
11/10/2019 08:38:17 MainProcess MainThread queue_manager get_queue DEBUG QueueManager getting: 'patch'
11/10/2019 08:38:17 MainProcess MainThread queue_manager get_queue DEBUG QueueManager got: 'patch'
11/10/2019 08:38:17 MainProcess MainThread convert pool_processes DEBUG 16
11/10/2019 08:38:17 MainProcess MainThread multithreading __init__ DEBUG Initializing MultiThread: (target: 'patch', thread_count: 16)
11/10/2019 08:38:17 MainProcess MainThread multithreading __init__ DEBUG Initialized MultiThread: 'patch'
11/10/2019 08:38:17 MainProcess MainThread multithreading start DEBUG Starting thread(s): 'patch'
11/10/2019 08:38:17 MainProcess MainThread multithreading start DEBUG Starting thread 1 of 16: 'patch_0'
11/10/2019 08:38:17 MainProcess patch_0 convert process DEBUG Starting convert process. (in_queue: <queue.Queue object at 0x0000028BB2297320>, out_queue: <queue.Queue object at 0x0000028BB22971D0>, completion_queue: None)
11/10/2019 08:38:17 MainProcess MainThread multithreading start DEBUG Starting thread 2 of 16: 'patch_1'
11/10/2019 08:38:17 MainProcess predict_faces_0 _base largest_face_index DEBUG 0
11/10/2019 08:38:17 MainProcess predict_faces_0 _base largest_face_index DEBUG 0
11/10/2019 08:38:17 MainProcess patch_1 convert process DEBUG Starting convert process. (in_queue: <queue.Queue object at 0x0000028BB2297320>, out_queue: <queue.Queue object at 0x0000028BB22971D0>, completion_queue: None)
11/10/2019 08:38:17 MainProcess MainThread multithreading start DEBUG Starting thread 3 of 16: 'patch_2'
11/10/2019 08:38:17 MainProcess patch_2 convert process DEBUG Starting convert process. (in_queue: <queue.Queue object at 0x0000028BB2297320>, out_queue: <queue.Queue object at 0x0000028BB22971D0>, completion_queue: None)
11/10/2019 08:38:17 MainProcess MainThread multithreading start DEBUG Starting thread 4 of 16: 'patch_3'
11/10/2019 08:38:17 MainProcess patch_3 convert process DEBUG Starting convert process. (in_queue: <queue.Queue object at 0x0000028BB2297320>, out_queue: <queue.Queue object at 0x0000028BB22971D0>, completion_queue: None)
11/10/2019 08:38:17 MainProcess MainThread multithreading start DEBUG Starting thread 5 of 16: 'patch_4'
11/10/2019 08:38:17 MainProcess patch_4 convert process DEBUG Starting convert process. (in_queue: <queue.Queue object at 0x0000028BB2297320>, out_queue: <queue.Queue object at 0x0000028BB22971D0>, completion_queue: None)
11/10/2019 08:38:17 MainProcess MainThread multithreading start DEBUG Starting thread 6 of 16: 'patch_5'
11/10/2019 08:38:17 MainProcess patch_5 convert process DEBUG Starting convert process. (in_queue: <queue.Queue object at 0x0000028BB2297320>, out_queue: <queue.Queue object at 0x0000028BB22971D0>, completion_queue: None)
11/10/2019 08:38:17 MainProcess MainThread multithreading start DEBUG Starting thread 7 of 16: 'patch_6'
11/10/2019 08:38:17 MainProcess patch_6 convert process DEBUG Starting convert process. (in_queue: <queue.Queue object at 0x0000028BB2297320>, out_queue: <queue.Queue object at 0x0000028BB22971D0>, completion_queue: None)
11/10/2019 08:38:17 MainProcess MainThread multithreading start DEBUG Starting thread 8 of 16: 'patch_7'
11/10/2019 08:38:17 MainProcess patch_7 convert process DEBUG Starting convert process. (in_queue: <queue.Queue object at 0x0000028BB2297320>, out_queue: <queue.Queue object at 0x0000028BB22971D0>, completion_queue: None)
11/10/2019 08:38:17 MainProcess MainThread multithreading start DEBUG Starting thread 9 of 16: 'patch_8'
11/10/2019 08:38:17 MainProcess patch_8 convert process DEBUG Starting convert process. (in_queue: <queue.Queue object at 0x0000028BB2297320>, out_queue: <queue.Queue object at 0x0000028BB22971D0>, completion_queue: None)
11/10/2019 08:38:17 MainProcess MainThread multithreading start DEBUG Starting thread 10 of 16: 'patch_9'
11/10/2019 08:38:17 MainProcess patch_9 convert process DEBUG Starting convert process. (in_queue: <queue.Queue object at 0x0000028BB2297320>, out_queue: <queue.Queue object at 0x0000028BB22971D0>, completion_queue: None)
11/10/2019 08:38:17 MainProcess MainThread multithreading start DEBUG Starting thread 11 of 16: 'patch_10'
11/10/2019 08:38:17 MainProcess patch_10 convert process DEBUG Starting convert process. (in_queue: <queue.Queue object at 0x0000028BB2297320>, out_queue: <queue.Queue object at 0x0000028BB22971D0>, completion_queue: None)
11/10/2019 08:38:17 MainProcess MainThread multithreading start DEBUG Starting thread 12 of 16: 'patch_11'
11/10/2019 08:38:17 MainProcess patch_11 convert process DEBUG Starting convert process. (in_queue: <queue.Queue object at 0x0000028BB2297320>, out_queue: <queue.Queue object at 0x0000028BB22971D0>, completion_queue: None)
11/10/2019 08:38:17 MainProcess MainThread multithreading start DEBUG Starting thread 13 of 16: 'patch_12'
11/10/2019 08:38:17 MainProcess predict_faces_0 _base largest_face_index DEBUG 0
11/10/2019 08:38:17 MainProcess predict_faces_0 _base largest_face_index DEBUG 0
11/10/2019 08:38:17 MainProcess patch_12 convert process DEBUG Starting convert process. (in_queue: <queue.Queue object at 0x0000028BB2297320>, out_queue: <queue.Queue object at 0x0000028BB22971D0>, completion_queue: None)
11/10/2019 08:38:17 MainProcess MainThread multithreading start DEBUG Starting thread 14 of 16: 'patch_13'
11/10/2019 08:38:17 MainProcess patch_13 convert process DEBUG Starting convert process. (in_queue: <queue.Queue object at 0x0000028BB2297320>, out_queue: <queue.Queue object at 0x0000028BB22971D0>, completion_queue: None)
11/10/2019 08:38:17 MainProcess MainThread multithreading start DEBUG Starting thread 15 of 16: 'patch_14'
11/10/2019 08:38:17 MainProcess patch_14 convert process DEBUG Starting convert process. (in_queue: <queue.Queue object at 0x0000028BB2297320>, out_queue: <queue.Queue object at 0x0000028BB22971D0>, completion_queue: None)
11/10/2019 08:38:17 MainProcess MainThread multithreading start DEBUG Starting thread 16 of 16: 'patch_15'
11/10/2019 08:38:17 MainProcess patch_15 convert process DEBUG Starting convert process. (in_queue: <queue.Queue object at 0x0000028BB2297320>, out_queue: <queue.Queue object at 0x0000028BB22971D0>, completion_queue: None)
11/10/2019 08:38:17 MainProcess MainThread multithreading start DEBUG Started all threads 'patch': 16
11/10/2019 08:38:17 MainProcess MainThread multithreading completed DEBUG False
11/10/2019 08:38:17 MainProcess predict_faces_0 _base largest_face_index DEBUG 0
11/10/2019 08:38:17 MainProcess predict_faces_0 _base largest_face_index DEBUG 0
11/10/2019 08:38:17 MainProcess predict_faces_0 _base largest_face_index DEBUG 0
11/10/2019 08:38:17 MainProcess predict_faces_0 _base largest_face_index DEBUG 0
11/10/2019 08:38:17 MainProcess predict_faces_0 _base largest_face_index DEBUG 0
11/10/2019 08:38:17 MainProcess predict_faces_0 _base largest_face_index DEBUG 0
11/10/2019 08:38:17 MainProcess predict_faces_0 _base largest_face_index DEBUG 0
11/10/2019 08:38:17 MainProcess predict_faces_0 _base largest_face_index DEBUG 0
11/10/2019 08:38:17 MainProcess predict_faces_0 _base largest_face_index DEBUG 0
11/10/2019 08:38:17 MainProcess predict_faces_0 _base largest_face_index DEBUG 0
11/10/2019 08:38:17 MainProcess predict_faces_0 _base largest_face_index DEBUG 0
11/10/2019 08:38:17 MainProcess predict_faces_0 _base largest_face_index DEBUG 0
11/10/2019 08:38:17 MainProcess predict_faces_0 _base largest_face_index DEBUG 0
11/10/2019 08:38:17 MainProcess predict_faces_0 _base largest_face_index DEBUG 0
11/10/2019 08:38:17 MainProcess predict_faces_0 _base largest_face_index DEBUG 0
11/10/2019 08:38:17 MainProcess predict_faces_0 _base largest_face_index DEBUG 0
11/10/2019 08:38:17 MainProcess predict_faces_0 _base largest_face_index DEBUG 0
11/10/2019 08:38:17 MainProcess predict_faces_0 _base largest_face_index DEBUG 0
11/10/2019 08:38:17 MainProcess predict_faces_0 _base largest_face_index DEBUG 0
11/10/2019 08:38:17 MainProcess predict_faces_0 _base largest_face_index DEBUG 0
11/10/2019 08:38:17 MainProcess predict_faces_0 _base largest_face_index DEBUG 0
11/10/2019 08:38:17 MainProcess predict_faces_0 _base largest_face_index DEBUG 0
11/10/2019 08:38:17 MainProcess predict_faces_0 _base largest_face_index DEBUG 0
11/10/2019 08:38:17 MainProcess predict_faces_0 _base largest_face_index DEBUG 0
11/10/2019 08:38:17 MainProcess predict_faces_0 _base largest_face_index DEBUG 0
11/10/2019 08:38:17 MainProcess predict_faces_0 _base largest_face_index DEBUG 0
11/10/2019 08:38:18 MainProcess MainThread multithreading completed DEBUG False
11/10/2019 08:38:18 MainProcess predict_faces_0 multithreading run DEBUG Error in thread (predict_faces_0): cudnn PoolForward launch failed\n [[{{node encoder/average_pooling2d_1/AvgPool}} = AvgPool[T=DT_FLOAT, data_format="NCHW", ksize=[1, 1, 2, 2], padding="VALID", strides=[1, 1, 2, 2], _device="/job:localhost/replica:0/task:0/device:GPU:0"](encoder/average_pooling2d_1/AvgPool-0-TransposeNHWCToNCHW-LayoutOptimizer)]]\n [[{{node decoder_b/face_out/Sigmoid/_761}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_971_decoder_b/face_out/Sigmoid", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]]
11/10/2019 08:38:19 MainProcess MainThread multithreading check_and_raise_error DEBUG Thread error caught: [(<class 'tensorflow.python.framework.errors_impl.InternalError'>, InternalError(), <traceback object at 0x0000028D7831DA08>)]
Traceback (most recent call last):
File "C:\Users\denni\faceswap\lib\cli.py", line 128, in execute_script
process.process()
File "C:\Users\denni\faceswap\scripts\convert.py", line 105, in process
self.convert_images()
File "C:\Users\denni\faceswap\scripts\convert.py", line 131, in convert_images
self.check_thread_error()
File "C:\Users\denni\faceswap\scripts\convert.py", line 151, in check_thread_error
thread.check_and_raise_error()
File "C:\Users\denni\faceswap\lib\multithreading.py", line 84, in check_and_raise_error
raise error[1].with_traceback(error[2])
File "C:\Users\denni\faceswap\lib\multithreading.py", line 37, in run
self._target(*self._args, **self._kwargs)
File "C:\Users\denni\faceswap\scripts\convert.py", line 572, in predict_faces
predicted = self.predict(feed_faces, batch_size)
File "C:\Users\denni\faceswap\scripts\convert.py", line 622, in predict
predicted = self.predictor(feed, batch_size=batch_size)
File "C:\Users\denni\MiniConda3\envs\faceswap\lib\site-packages\keras\engine\training.py", line 1169, in predict
steps=steps)
File "C:\Users\denni\MiniConda3\envs\faceswap\lib\site-packages\keras\engine\training_arrays.py", line 294, in predict_loop
batch_outs = f(ins_batch)
File "C:\Users\denni\MiniConda3\envs\faceswap\lib\site-packages\keras\backend\tensorflow_backend.py", line 2715, in __call__
return self._call(inputs)
File "C:\Users\denni\MiniConda3\envs\faceswap\lib\site-packages\keras\backend\tensorflow_backend.py", line 2675, in _call
fetched = self._callable_fn(*array_vals)
File "C:\Users\denni\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\client\session.py", line 1439, in __call__
run_metadata_ptr)
File "C:\Users\denni\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\framework\errors_impl.py", line 528, in __exit__
c_api.TF_GetCode(self.status.status))
tensorflow.python.framework.errors_impl.InternalError: cudnn PoolForward launch failed
[[{{node encoder/average_pooling2d_1/AvgPool}} = AvgPool[T=DT_FLOAT, data_format="NCHW", ksize=[1, 1, 2, 2], padding="VALID", strides=[1, 1, 2, 2], _device="/job:localhost/replica:0/task:0/device:GPU:0"](encoder/average_pooling2d_1/AvgPool-0-TransposeNHWCToNCHW-LayoutOptimizer)]]
[[{{node decoder_b/face_out/Sigmoid/_761}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_971_decoder_b/face_out/Sigmoid", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]]
============ System Information ============
encoding: cp1252
git_branch: master
git_commits: ffd3829 Added allow_growth argument for preview. 87ccdfa Merge pull request #929 from kilroythethird/fsa_conv_fixes. c2d9a27 Add json to the filter in the GUI alignment open dialog. bb90bcd Merge branch 'double_fsa_fix' into fsa_conv_fixes. 61497a9 Updart INSTALL.md
gpu_cuda: 9.0
gpu_cudnn: 7.0.5
gpu_devices: GPU_0: GeForce RTX 2080, GPU_1: GeForce GTX 1080
gpu_devices_active: GPU_0, GPU_1
gpu_driver: 441.12
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\denni\faceswap\faceswap.py convert -i D:/In_progress/Face/Images_full_sets/Images -o D:/In_progress/Face/Images_full_sets/swap/Dlight/1_Sharpen -al D:/In_progress/Face/Images_full_sets/Images/alignments.fsa -m D:/In_progress/Face/Images_full_sets/Model/Dlight -c avg-color -M predicted -sc sharpen -w opencv -osc 100 -a D:/In_progress/Face/Images_full_sets/Faces -l 0.4 -j 0 -g 1 -L INFO -gui
py_conda_version: conda 4.5.12
py_implementation: CPython
py_version: 3.6.8
py_virtual_env: True
sys_cores: 16
sys_processor: AMD64 Family 23 Model 113 Stepping 0, AuthenticAMD
sys_ram: Total: 65467MB, Available: 55716MB, Used: 9751MB, Free: 55716MB
=============== Pip Packages ===============
absl-py==0.7.0
astor==0.7.1
certifi==2019.6.16
Click==7.0
cloudpickle==0.8.0
cmake==3.13.3
cycler==0.10.0
cytoolz==0.9.0.1
dask==1.1.4
decorator==4.3.2
dlib==19.16.99
face-recognition==1.2.3
face-recognition-models==0.3.0
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
Keras==2.2.4
Keras-Applications==1.0.7
Keras-Preprocessing==1.0.9
kiwisolver==1.0.1
Markdown==3.0.1
matplotlib==2.2.2
mkl-fft==1.0.10
mkl-random==1.0.2
mock==2.0.0
networkx==2.2
numpy==1.16.2
nvidia-ml-py3==7.352.1
olefile==0.46
opencv-python==4.1.1.26
pathlib==1.0.1
pbr==5.1.3
Pillow==6.1.0
protobuf==3.6.1
psutil==5.6.1
pyparsing==2.3.1
pyreadline==2.1
python-dateutil==2.8.0
pytz==2018.9
PyWavelets==1.0.2
pywin32==224
PyYAML==3.13
scikit-image==0.14.2
scikit-learn==0.20.3
scipy==1.2.1
six==1.12.0
tensorboard==1.12.2
tensorflow==1.12.0
tensorflow-estimator==1.13.0
termcolor==1.1.0
toolz==0.9.0
toposort==1.5
tornado==6.0.1
tqdm==4.31.1
Werkzeug==0.14.1
wincertstore==0.2
============== Conda Packages ==============
# packages in environment at C:\Users\denni\MiniConda3\envs\faceswap:
#
# Name Version Build Channel
_tflow_select 2.1.0 gpu
absl-py 0.7.0 py36_0
astor 0.7.1 py36_0
blas 1.0 mkl
ca-certificates 2019.5.15 0
certifi 2019.6.16 py36_1
Click 7.0 <pip>
cloudpickle 0.8.0 py36_0
cmake 3.13.3 <pip>
cudatoolkit 9.0 1
cudnn 7.3.1 cuda9.0_0
cycler 0.10.0 py36h009560c_0
cytoolz 0.9.0.1 py36hfa6e2cd_1
dask-core 1.1.4 py_0
decorator 4.3.2 py36_0
dlib 19.16.99 <pip>
face-recognition 1.2.3 <pip>
face-recognition-models 0.3.0 <pip>
fastcluster 1.1.25 py36h830ac7b_1000 conda-forge
ffmpeg 4.1 h6538335_1002 conda-forge
ffmpy 0.2.2 <pip>
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 <pip>
intel-openmp 2019.1 144
jpeg 9c hfa6e2cd_1001 conda-forge
keras 2.2.4 0
keras-applications 1.0.7 py_0
keras-base 2.2.4 py36_0
keras-preprocessing 1.0.9 py_0
kiwisolver 1.0.1 py36h6538335_0
libblas 3.8.0 8_mkl conda-forge
libcblas 3.8.0 8_mkl conda-forge
liblapack 3.8.0 8_mkl conda-forge
liblapacke 3.8.0 8_mkl conda-forge
libmklml 2019.0.3 0
libpng 1.6.36 h2a8f88b_0
libprotobuf 3.6.1 h7bd577a_0
libtiff 4.0.10 hb898794_2
libwebp 1.0.2 hfa6e2cd_2 conda-forge
markdown 3.0.1 py36_0
matplotlib 2.2.2 py36had4c4a9_2
mkl 2019.1 144
mkl_fft 1.0.10 py36h14836fe_0
mkl_random 1.0.2 py36h343c172_0
mock 2.0.0 py36h9086845_0
networkx 2.2 py36_1
numpy 1.16.2 py36h19fb1c0_0
numpy-base 1.16.2 py36hc3f5095_0
nvidia-ml-py3 7.352.1 <pip>
olefile 0.46 py36_0
opencv 4.1.0 py36hb4945ee_5 conda-forge
opencv-python 4.0.0.21 <pip>
opencv-python 4.1.1.26 <pip>
openssl 1.1.1c he774522_1
pathlib 1.0.1 py36_1
pbr 5.1.3 py_0
pillow 6.1.0 py36hdc69c19_0
pip 19.0.3 py36_0
protobuf 3.6.1 py36h33f27b4_0
psutil 5.6.1 py36he774522_0
pyparsing 2.3.1 py36_0
pyqt 5.9.2 py36h6538335_2
pyreadline 2.1 py36_1
python 3.6.8 h9f7ef89_7
python-dateutil 2.8.0 py36_0
pytz 2018.9 py36_0
pywavelets 1.0.2 py36h8c2d366_0
pywin32 224 <pip>
pyyaml 3.13 py36hfa6e2cd_0
qt 5.9.7 vc14h73c81de_0
scikit-image 0.14.2 py36ha925a31_0
scikit-learn 0.20.3 py36h343c172_0
scipy 1.2.1 py36h29ff71c_0
setuptools 40.8.0 py36_0
sip 4.19.8 py36h6538335_0
six 1.12.0 py36_0
sqlite 3.27.2 he774522_0
tensorboard 1.12.2 py36h33f27b4_0
tensorflow 1.12.0 gpu_py36ha5f9131_0
tensorflow-base 1.12.0 gpu_py36h6e53903_0
tensorflow-estimator 1.13.0 py_0
tensorflow-gpu 1.12.0 h0d30ee6_0
termcolor 1.1.0 py36_1
tk 8.6.8 hfa6e2cd_0
toolz 0.9.0 py36_0
toposort 1.5 <pip>
tornado 6.0.1 py36he774522_0
tqdm 4.31.1 py_0
vc 14.1 h0510ff6_4
vs2015_runtime 14.15.26706 h3a45250_0
werkzeug 0.14.1 py36_0
wheel 0.33.1 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
================= 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: gaussian
radius: 3.0
passes: 4
erosion: 0.0
[scaling.sharpen]
method: gaussian
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: 8
[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: 50
batch-size: 8
[mask.unet_dfl]
batch-size: 8
[mask.vgg_clear]
batch-size: 6
[mask.vgg_obstructed]
batch-size: 2
--------- gui.ini ---------
[global]
fullscreen: False
tab: train
options_panel_width: 30
console_panel_height: 20
font: default
font_size: 9
--------- train.ini ---------
[global]
coverage: 87.5
mask_type: components
mask_blur: True
icnr_init: True
conv_aware_init: False
subpixel_upscaling: True
reflect_padding: True
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