Comments (5)
torzdf
commented on June 9, 2024
Crash report.
from faceswap-playground.
VSBDev
commented on June 9, 2024
Crash report attached
06/14/2019 11:50:10 MainProcess MainThread config check_config_change DEBUG Default config has not changed
06/14/2019 11:50:10 MainProcess MainThread config check_config_choices DEBUG Checking config choices
06/14/2019 11:50:10 MainProcess MainThread config check_config_choices DEBUG Checked config choices
06/14/2019 11:50:10 MainProcess MainThread config validate_config DEBUG Validated config
06/14/2019 11:50:10 MainProcess MainThread config handle_config DEBUG Handled config
06/14/2019 11:50:10 MainProcess MainThread config __init__ DEBUG Initialized: Config
06/14/2019 11:50:10 MainProcess MainThread _base set_config DEBUG Config: {}
06/14/2019 11:50:10 MainProcess MainThread _base __init__ DEBUG config: {}
06/14/2019 11:50:10 MainProcess MainThread _base __init__ DEBUG Initialized Color
06/14/2019 11:50:10 MainProcess MainThread convert load_plugins DEBUG Loaded plugins: {'box': <plugins.convert.mask.box_blend.Mask object at 0x000001ACF6B45128>, 'mask': <plugins.convert.mask.mask_blend.Mask object at 0x000001ACF6B45E80>, 'color': <plugins.convert.color.avg_color.Color object at 0x000001ACF6B45C18>, 'seamless': None, 'scaling': None}
06/14/2019 11:50:10 MainProcess MainThread convert __init__ DEBUG Initialized Converter
06/14/2019 11:50:10 MainProcess MainThread convert __init__ DEBUG Initialized Convert
06/14/2019 11:50:10 MainProcess MainThread convert process DEBUG Starting Conversion
06/14/2019 11:50:10 MainProcess MainThread convert convert_images DEBUG Converting images
06/14/2019 11:50:10 MainProcess MainThread queue_manager get_queue DEBUG QueueManager getting: 'convert_out'
06/14/2019 11:50:10 MainProcess MainThread queue_manager get_queue DEBUG QueueManager got: 'convert_out'
06/14/2019 11:50:10 MainProcess MainThread queue_manager get_queue DEBUG QueueManager getting: 'patch'
06/14/2019 11:50:10 MainProcess MainThread queue_manager get_queue DEBUG QueueManager got: 'patch'
06/14/2019 11:50:10 MainProcess MainThread convert pool_processes DEBUG 12
06/14/2019 11:50:10 MainProcess MainThread multithreading __init__ DEBUG Initializing PoolProcess: (target: 'Converter.process', processes: 12)
06/14/2019 11:50:10 MainProcess MainThread multithreading set_procs VERBOSE Processing 'Converter.process' in 1 processes
06/14/2019 11:50:10 MainProcess MainThread multithreading __init__ DEBUG Initialized PoolProcess: 'Converter.process'
06/14/2019 11:50:10 MainProcess load_0 pipeline detected_faces DEBUG Running Detection. Phase: 'detect'
06/14/2019 11:50:10 MainProcess MainThread multithreading start DEBUG Pooling Processes: (target: 'Converter.process', args: (), kwargs: {'in_queue': <AutoProxy[Queue] object, typeid 'Queue' at 0x1ac58922240>, 'out_queue': <AutoProxy[Queue] object, typeid 'Queue' at 0x1ac589223c8>})
06/14/2019 11:50:10 MainProcess MainThread multithreading start DEBUG Adding process 1 of 1 to mp.Pool 'Converter.process'
06/14/2019 11:50:10 MainProcess MainThread multithreading start DEBUG Pooled Processes: 'Converter.process'
06/14/2019 11:50:11 SpawnPoolWorker-13 MainThread convert process DEBUG Starting convert process. (in_queue: <queue.Queue object at 0x000002468B758F60>, out_queue: <queue.Queue object at 0x000002468B758EB8>)
06/14/2019 11:50:11 MainProcess load_0 pipeline detected_faces DEBUG Running Detection. Phase: 'detect'
06/14/2019 11:50:11 MainProcess load_0 pipeline detected_faces DEBUG Running Detection. Phase: 'detect'
06/14/2019 11:50:11 MainProcess load_0 pipeline detected_faces DEBUG Running Detection. Phase: 'detect'
06/14/2019 11:50:12 MainProcess load_0 pipeline detected_faces DEBUG Running Detection. Phase: 'detect'
06/14/2019 11:50:12 MainProcess load_0 pipeline detected_faces DEBUG Running Detection. Phase: 'detect'
06/14/2019 11:50:12 MainProcess load_0 pipeline detected_faces DEBUG Running Detection. Phase: 'detect'
06/14/2019 11:50:13 MainProcess load_0 pipeline detected_faces DEBUG Running Detection. Phase: 'detect'
06/14/2019 11:50:13 MainProcess load_0 pipeline detected_faces DEBUG Running Detection. Phase: 'detect'
06/14/2019 11:50:13 MainProcess load_0 pipeline detected_faces DEBUG Running Detection. Phase: 'detect'
06/14/2019 11:50:14 MainProcess load_0 pipeline detected_faces DEBUG Running Detection. Phase: 'detect'
06/14/2019 11:50:14 MainProcess load_0 pipeline detected_faces DEBUG Running Detection. Phase: 'detect'
06/14/2019 11:50:14 MainProcess load_0 pipeline detected_faces DEBUG Running Detection. Phase: 'detect'
06/14/2019 11:50:14 MainProcess load_0 pipeline detected_faces DEBUG Running Detection. Phase: 'detect'
06/14/2019 11:50:15 MainProcess load_0 pipeline detected_faces DEBUG Running Detection. Phase: 'detect'
06/14/2019 11:50:15 MainProcess load_0 pipeline detected_faces DEBUG Running Detection. Phase: 'detect'
06/14/2019 11:50:16 MainProcess load_0 pipeline detected_faces DEBUG Running Detection. Phase: 'detect'
06/14/2019 11:50:16 MainProcess load_0 pipeline detected_faces DEBUG Running Detection. Phase: 'detect'
06/14/2019 11:50:16 MainProcess load_0 pipeline detected_faces DEBUG Running Detection. Phase: 'detect'
06/14/2019 11:50:17 MainProcess load_0 pipeline detected_faces DEBUG Running Detection. Phase: 'detect'
06/14/2019 11:50:17 MainProcess predict_faces_0 multithreading run DEBUG Error in thread (predict_faces_0): Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above.\n [[{{node encoder/conv2d_9/convolution}}]]\n [[{{node decoder_1/conv2d_8/Sigmoid}}]]
06/14/2019 11:50:17 MainProcess load_0 pipeline detected_faces DEBUG Running Detection. Phase: 'detect'
06/14/2019 11:50:17 MainProcess MainThread multithreading check_and_raise_error DEBUG Thread error caught: [(<class 'tensorflow.python.framework.errors_impl.UnknownError'>, UnknownError(), <traceback object at 0x000001ACF73CAF88>)]
Traceback (most recent call last):
File "C:\Users\VictorSB\Development\ML\faceswap\lib\cli.py", line 110, in execute_script
process.process()
File "C:\Users\VictorSB\Development\ML\faceswap\scripts\convert.py", line 100, in process
self.convert_images()
File "C:\Users\VictorSB\Development\ML\faceswap\scripts\convert.py", line 118, in convert_images
self.check_thread_error()
File "C:\Users\VictorSB\Development\ML\faceswap\scripts\convert.py", line 131, in check_thread_error
thread.check_and_raise_error()
File "C:\Users\VictorSB\Development\ML\faceswap\lib\multithreading.py", line 433, in check_and_raise_error
raise error[1].with_traceback(error[2])
File "C:\Users\VictorSB\Development\ML\faceswap\lib\multithreading.py", line 390, in run
self._target(*self._args, **self._kwargs)
File "C:\Users\VictorSB\Development\ML\faceswap\scripts\convert.py", line 532, in predict_faces
predicted = self.predict(feed_faces)
File "C:\Users\VictorSB\Development\ML\faceswap\scripts\convert.py", line 581, in predict
predicted = self.predictor(feed)
File "C:\Users\VictorSB\.conda\envs\faceswap\lib\site-packages\keras\engine\training.py", line 1169, in predict
steps=steps)
File "C:\Users\VictorSB\.conda\envs\faceswap\lib\site-packages\keras\engine\training_arrays.py", line 294, in predict_loop
batch_outs = f(ins_batch)
File "C:\Users\VictorSB\.conda\envs\faceswap\lib\site-packages\keras\backend\tensorflow_backend.py", line 2715, in __call__
return self._call(inputs)
File "C:\Users\VictorSB\.conda\envs\faceswap\lib\site-packages\keras\backend\tensorflow_backend.py", line 2675, in _call
fetched = self._callable_fn(*array_vals)
File "C:\Users\VictorSB\.conda\envs\faceswap\lib\site-packages\tensorflow\python\client\session.py", line 1439, in __call__
run_metadata_ptr)
File "C:\Users\VictorSB\.conda\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.UnknownError: Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above.
[[{{node encoder/conv2d_9/convolution}}]]
[[{{node decoder_1/conv2d_8/Sigmoid}}]]
============ System Information ============
encoding: cp1252
git_branch: master
git_commits: 3c80794 GUI: Show more previews for extract and convert. b305dde Limit draw transparent to swap area only. 6ac422a Extraction Improvements. 2324cee tf.__version__ bugfix. 5bf4cf5 Merge branch 'staging' of https://github.com/deepfakes/faceswap into staging
gpu_cuda: Not Found. Check Conda packages for Conda Cuda
gpu_cudnn: Not Found. Check Conda packages for Conda cuDNN
gpu_devices: GPU_0: GeForce GTX 1050 Ti with Max-Q Design
gpu_devices_active: GPU_0
gpu_driver: 430.64
gpu_vram: GPU_0: 4096MB
os_machine: AMD64
os_platform: Windows-10-10.0.17763-SP0
os_release: 10
py_command: C:\Users\VictorSB\Development\ML\faceswap\faceswap.py convert -i C:/Users/VictorSB/Documents/faceswap/donald trump/originals -o C:/Users/VictorSB/Documents/faceswap/donald trump/originals/converted -l 0.4 -m C:/Users/VictorSB/Documents/faceswap/faceswap_trump_lawrence_2_original -c avg-color -sc none -M predicted -w opencv -osc 100 -g 1 -L INFO -gui
py_conda_version: conda 4.6.11
py_implementation: CPython
py_version: 3.6.8
py_virtual_env: True
sys_cores: 12
sys_processor: Intel64 Family 6 Model 158 Stepping 10, GenuineIntel
sys_ram: Total: 32272MB, Available: 13451MB, Used: 18820MB, Free: 13451MB
=============== Pip Packages ===============
absl-py==0.7.1
astor==0.7.1
certifi==2019.3.9
cloudpickle==1.1.1
cycler==0.10.0
cytoolz==0.9.0.1
dask==1.2.2
decorator==4.4.0
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
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==7.352.0
olefile==0.46
opencv-python==4.1.0.25
pathlib==1.0.1
Pillow==6.0.0
protobuf==3.8.0
psutil==5.6.2
pyparsing==2.4.0
pyreadline==2.1
python-dateutil==2.8.0
pytz==2019.1
PyWavelets==1.0.3
PyYAML==5.1
scikit-image==0.15.0
scikit-learn==0.21.2
scipy==1.2.1
six==1.12.0
tensorboard==1.13.1
tensorflow==1.13.1
tensorflow-estimator==1.13.0
termcolor==1.1.0
toolz==0.9.0
toposort==1.5
tornado==6.0.2
tqdm==4.32.1
Werkzeug==0.15.4
wincertstore==0.2
============== Conda Packages ==============
Could not get package list```
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torzdf
commented on June 9, 2024
Ok. There is a bug in "on-the-fly" conversion which i thought I'd squashed, but apparently not.
On the fly conversion is crap anyway, and you shouldn't use it. Generate an alignments file for your source video and try to convert again.
from faceswap-playground.
VSBDev
commented on June 9, 2024
Never tried alignments yet but will do. For that I need to extract the alignments.json with the extract tab from which video in my case I am putting Lawrence O'donell to a trump speech, where do I extracts the json from?
Thank you
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VSBDev
commented on June 9, 2024
Alignments fix the problem indeed, thank you @torzdf
from faceswap-playground.
Related Issues (20)
- E tensorflow/stream_executor/cuda/cuda_event.cc:48] Error polling for event status: failed to query event: CUDA_ERROR_OUT_OF_MEMORY: out of memory HOT 2
- E tensorflow/stream_executor/cuda/cuda_event.cc:48] Error polling for event status: failed to query event: CUDA_ERROR_OUT_OF_MEMORY: out of memory
- Number of processes must be at least 1 HOT 1
- Is it possible to run on TPU? HOT 1
- alignments tool doesn't handle case and filenames correctly in Windows. HOT 5
- opencv error HOT 1
- loss functions HOT 1
- Tensor A must be from the same graph as Tensor B HOT 5
- Crash when using a reference face filter HOT 6
- Re-using model files HOT 2
- Updated FaceSwap crashes upon init HOT 2
- alignment tool file output crashes when the "folder" is a video file HOT 2
- Understanding GAN model's choices HOT 3
- Training from A - B HOT 1
- ImportError: cannot import name QueueHandler HOT 4
- The utilization: CPU 100, GPU 20 HOT 3
- Previous model files invalid? HOT 2
- Is it possible to use this for old age morphing ? what should be the dataset then ? HOT 1
- Analysis not working in latest pull. HOT 3
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