Code: Select all
07/15/2019 13:33:43 MainProcess MainThread multithreading start DEBUG Started all threads 'save_faces': 1
07/15/2019 13:33:43 MainProcess MainThread extract process_item_count DEBUG Items already processed: 0
07/15/2019 13:33:44 MainProcess MainThread extract process_item_count DEBUG Items to be Processed: 78938
07/15/2019 13:33:44 MainProcess MainThread pipeline launch DEBUG Launching aligner and detector
07/15/2019 13:33:44 MainProcess MainThread pipeline launch_aligner DEBUG Launching Aligner
07/15/2019 13:33:44 MainProcess MainThread multithreading __init__ DEBUG Initializing SpawnProcess: (target: 'Aligner.run', args: (), kwargs: {})
07/15/2019 13:33:44 MainProcess MainThread multithreading __init__ DEBUG Initialized SpawnProcess: 'Aligner.run'
07/15/2019 13:33:44 MainProcess MainThread multithreading start DEBUG Spawning Process: (name: 'Aligner.run', args: (), kwargs: {'event': <multiprocessing.synchronize.Event object at 0x000001BF35617D30>, 'error': <multiprocessing.synchronize.Event object at 0x000001BF356487F0>, 'log_init': <function set_root_logger at 0x000001BF2C472950>, 'log_queue': <AutoProxy[Queue] object, typeid 'Queue' at 0x1bf2c76f3c8>, 'log_level': 10, 'in_queue': <AutoProxy[Queue] object, typeid 'Queue' at 0x1bf35617828>, 'out_queue': <AutoProxy[Queue] object, typeid 'Queue' at 0x1bf355e3940>}, daemon: True)
07/15/2019 13:33:44 MainProcess MainThread multithreading start DEBUG Spawned Process: (name: 'Aligner.run', PID: 1724)
07/15/2019 13:33:45 Aligner.run MainThread _base initialize DEBUG _base initialize Align: (PID: 1724, args: (), kwargs: {'event': <multiprocessing.synchronize.Event object at 0x000001F9F067FC88>, 'error': <multiprocessing.synchronize.Event object at 0x000001F9F3077588>, 'log_init': <function set_root_logger at 0x000001F9F09371E0>, 'log_queue': <AutoProxy[Queue] object, typeid 'Queue' at 0x1f9f96c8160>, 'log_level': 10, 'in_queue': <AutoProxy[Queue] object, typeid 'Queue' at 0x1f9f96c8278>, 'out_queue': <AutoProxy[Queue] object, typeid 'Queue' at 0x1f9f96c82e8>})
07/15/2019 13:33:45 Aligner.run MainThread fan initialize INFO Initializing Face Alignment Network...
07/15/2019 13:33:45 Aligner.run MainThread fan initialize DEBUG fan initialize: (args: () kwargs: {'event': <multiprocessing.synchronize.Event object at 0x000001F9F067FC88>, 'error': <multiprocessing.synchronize.Event object at 0x000001F9F3077588>, 'log_init': <function set_root_logger at 0x000001F9F09371E0>, 'log_queue': <AutoProxy[Queue] object, typeid 'Queue' at 0x1f9f96c8160>, 'log_level': 10, 'in_queue': <AutoProxy[Queue] object, typeid 'Queue' at 0x1f9f96c8278>, 'out_queue': <AutoProxy[Queue] object, typeid 'Queue' at 0x1f9f96c82e8>})
07/15/2019 13:33:45 Aligner.run MainThread gpu_stats __init__ DEBUG Initializing GPUStats
07/15/2019 13:33:45 Aligner.run MainThread gpu_stats initialize DEBUG OS is not macOS. Using pynvml
07/15/2019 13:33:45 Aligner.run MainThread gpu_stats get_device_count DEBUG GPU Device count: 1
07/15/2019 13:33:45 Aligner.run MainThread gpu_stats get_active_devices DEBUG Active GPU Devices: [0]
07/15/2019 13:33:45 Aligner.run MainThread gpu_stats get_handles DEBUG GPU Handles found: 1
07/15/2019 13:33:45 Aligner.run MainThread gpu_stats get_driver DEBUG GPU Driver: 397.64
07/15/2019 13:33:45 Aligner.run MainThread gpu_stats get_devices DEBUG GPU Devices: ['TITAN X (Pascal)']
07/15/2019 13:33:45 Aligner.run MainThread gpu_stats get_vram DEBUG GPU VRAM: [12288.0]
07/15/2019 13:33:45 Aligner.run MainThread gpu_stats __init__ DEBUG Initialized GPUStats
07/15/2019 13:33:45 Aligner.run MainThread gpu_stats initialize DEBUG OS is not macOS. Using pynvml
07/15/2019 13:33:45 Aligner.run MainThread gpu_stats get_device_count DEBUG GPU Device count: 1
07/15/2019 13:33:45 Aligner.run MainThread gpu_stats get_active_devices DEBUG Active GPU Devices: [0]
07/15/2019 13:33:45 Aligner.run MainThread gpu_stats get_handles DEBUG GPU Handles found: 1
07/15/2019 13:33:45 Aligner.run MainThread gpu_stats get_free DEBUG GPU VRAM free: [11297.69921875]
07/15/2019 13:33:45 Aligner.run MainThread gpu_stats get_card_most_free DEBUG Active GPU Card with most free VRAM: {'card_id': 0, 'device': 'TITAN X (Pascal)', 'free': 11297.69921875, 'total': 12288.0}
07/15/2019 13:33:45 Aligner.run MainThread _base get_vram_free VERBOSE Using device TITAN X (Pascal) with 11297MB free of 12288MB
07/15/2019 13:33:45 Aligner.run MainThread fan initialize VERBOSE Reserving 2240MB for face alignments
07/15/2019 13:33:45 Aligner.run MainThread fan load_graph VERBOSE Initializing Face Alignment Network model...
07/15/2019 13:33:49 Aligner.run MainThread _base run ERROR Caught exception in child process: 1724
07/15/2019 13:33:49 Aligner.run MainThread _base run ERROR Traceback:
Traceback (most recent call last):
File "C:\Users\Test Machine\faceswap\plugins\extract\align\_base.py", line 112, in run
self.align(*args, **kwargs)
File "C:\Users\Test Machine\faceswap\plugins\extract\align\_base.py", line 127, in align
self.initialize(*args, **kwargs)
File "C:\Users\Test Machine\faceswap\plugins\extract\align\fan.py", line 47, in initialize
raise err
File "C:\Users\Test Machine\faceswap\plugins\extract\align\fan.py", line 41, in initialize
self.model = FAN(self.model_path, ratio=tf_ratio)
File "C:\Users\Test Machine\faceswap\plugins\extract\align\fan.py", line 199, in __init__
self.session = self.set_session(ratio)
File "C:\Users\Test Machine\faceswap\plugins\extract\align\fan.py", line 221, in set_session
session = self.tf.Session(config=config)
File "C:\Users\Test Machine\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\client\session.py", line 1551, in __init__
super(Session, self).__init__(target, graph, config=config)
File "C:\Users\Test Machine\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\client\session.py", line 676, in __init__
self._session = tf_session.TF_NewSessionRef(self._graph._c_graph, opts)
tensorflow.python.framework.errors_impl.InternalError: cudaGetDevice() failed. Status: CUDA driver version is insufficient for CUDA runtime version
Traceback (most recent call last):
File "C:\Users\Test Machine\faceswap\lib\cli.py", line 122, in execute_script
process.process()
File "C:\Users\Test Machine\faceswap\scripts\extract.py", line 61, in process
self.run_extraction()
File "C:\Users\Test Machine\faceswap\scripts\extract.py", line 180, in run_extraction
self.extractor.launch()
File "C:\Users\Test Machine\faceswap\plugins\extract\pipeline.py", line 171, in launch
self.launch_aligner()
File "C:\Users\Test Machine\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: dafde78 Fix Previews for Extract/Convert when window is too small to fit items
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: TITAN X (Pascal)
gpu_devices_active: GPU_0
gpu_driver: 397.64
gpu_vram: GPU_0: 12288MB
os_machine: AMD64
os_platform: Windows-10-10.0.17763-SP0
os_release: 10
py_command: C:\Users\Test Machine\faceswap\faceswap.py extract -i C:/Users/Test Machine/faceswap/src/belsky/belsky.mp4 -o C:/Users/Test Machine/faceswap/faces/belsky -l 0.4 --serializer json -D mtcnn -A fan -nm none -bt 0.0 -sz 256 -min 0 -een 1 -si 0 -L INFO -gui
py_conda_version: conda 4.7.5
py_implementation: CPython
py_version: 3.6.8
py_virtual_env: True
sys_cores: 20
sys_processor: Intel64 Family 6 Model 85 Stepping 4, GenuineIntel
sys_ram: Total: 130770MB, Available: 122416MB, Used: 8353MB, Free: 122416MB
=============== Pip Packages ===============
============== Conda Packages ==============
# packages in environment at C:\Users\Test Machine\MiniConda3\envs\faceswap:
#
# Name Version Build Channel
_tflow_select 2.1.0 gpu
absl-py 0.7.1 py36_0
astor 0.7.1 py36_0
blas 1.0 mkl
ca-certificates 2019.5.15 0
certifi 2019.6.16 py36_0
cloudpickle 1.2.1 py_0
cudatoolkit 10.0.130 0
cudnn 7.6.0 cuda10.0_0
cycler 0.10.0 py36h009560c_0
cytoolz 0.9.0.1 py36hfa6e2cd_1
dask-core 2.1.0 py_0
decorator 4.4.0 py36_1
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 9c hfa6e2cd_1001 conda-forge
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
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 1.6.37 h7602738_0 conda-forge
libprotobuf 3.8.0 h7bd577a_0
libtiff 4.0.10 h6512ee2_1003 conda-forge
libwebp 1.0.2 hfa6e2cd_2 conda-forge
lz4-c 1.8.3 he025d50_1001 conda-forge
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 7.352.0 pypi_0 pypi
olefile 0.46 py36_0
opencv 4.1.0 py36hb4945ee_5 conda-forge
openssl 1.1.1c he774522_1
pathlib 1.0.1 py36_1
pillow 6.1.0 py36hdc69c19_0
pip 19.1.1 py36_0
protobuf 3.8.0 py36h33f27b4_0
psutil 5.6.3 py36he774522_0
pyparsing 2.4.0 py_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 2019.1 py_0
pywavelets 1.0.3 py36h8c2d366_1
pywin32 223 py36hfa6e2cd_1
pyyaml 5.1.1 py36he774522_0
qt 5.9.7 hc6833c9_1 conda-forge
scikit-image 0.15.0 py36ha925a31_0
scikit-learn 0.21.2 py36h6288b17_0
scipy 1.2.1 py36h29ff71c_0
setuptools 41.0.1 py36_0
sip 4.19.8 py36h6538335_0
six 1.12.0 py36_0
sqlite 3.28.0 he774522_0
tensorboard 1.13.1 py36h33f27b4_0
tensorflow 1.13.1 gpu_py36h9006a92_0
tensorflow-base 1.13.1 gpu_py36h871c8ca_0
tensorflow-estimator 1.13.0 py_0
tensorflow-gpu 1.13.1 h0d30ee6_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_1001 conda-forge
yaml 0.1.7 hc54c509_2
zlib 1.2.11 h2fa13f4_1005 conda-forge
zstd 1.4.0 hd8a0e53_0 conda-forge