Crash after running for a few minutes
Posted: Sun Aug 09, 2020 7:57 am
No matter how it is set, it will crash after running for a few minutes. This time, the return code is 1
Code: Select all
08/09/2020 15:47:22 MainProcess _training_0 _base _resize_sample DEBUG Resized sample: (side: 'b' shape: (14, 224, 224, 3))
08/09/2020 15:47:22 MainProcess _training_0 _base _overlay_foreground DEBUG Overlayed foreground. Shape: (14, 256, 256, 3)
08/09/2020 15:47:22 MainProcess _training_0 _base _overlay_foreground DEBUG Overlayed foreground. Shape: (14, 256, 256, 3)
08/09/2020 15:47:22 MainProcess _training_0 _base _overlay_foreground DEBUG Overlayed foreground. Shape: (14, 256, 256, 3)
08/09/2020 15:47:22 MainProcess _training_0 _base _resize_sample DEBUG Resizing sample: (side: 'b', sample.shape: (14, 256, 256, 3), target_size: 128, scale: 0.5)
08/09/2020 15:47:22 MainProcess _training_0 _base _resize_sample DEBUG Resized sample: (side: 'b' shape: (14, 128, 128, 3))
08/09/2020 15:47:22 MainProcess _training_0 _base _resize_sample DEBUG Resizing sample: (side: 'b', sample.shape: (14, 256, 256, 3), target_size: 128, scale: 0.5)
08/09/2020 15:47:22 MainProcess _training_0 _base _resize_sample DEBUG Resized sample: (side: 'b' shape: (14, 128, 128, 3))
08/09/2020 15:47:22 MainProcess _training_0 _base _resize_sample DEBUG Resizing sample: (side: 'b', sample.shape: (14, 256, 256, 3), target_size: 128, scale: 0.5)
08/09/2020 15:47:22 MainProcess _training_0 _base _resize_sample DEBUG Resized sample: (side: 'b' shape: (14, 128, 128, 3))
08/09/2020 15:47:22 MainProcess _training_0 _base _get_headers DEBUG side: 'b', width: 128
08/09/2020 15:47:22 MainProcess _training_0 _base _get_headers DEBUG height: 32, total_width: 384
08/09/2020 15:47:22 MainProcess _training_0 _base _get_headers DEBUG texts: ['Swap (B)', 'Swap > Swap', 'Swap > Original'], text_sizes: [(59, 9), (87, 9), (102, 9)], text_x: [34, 148, 269], text_y: 20
08/09/2020 15:47:22 MainProcess _training_0 _base _get_headers DEBUG header_box.shape: (32, 384, 3)
08/09/2020 15:47:22 MainProcess _training_0 _base _duplicate_headers DEBUG side: a header.shape: (32, 384, 3)
08/09/2020 15:47:22 MainProcess _training_0 _base _duplicate_headers DEBUG side: b header.shape: (32, 384, 3)
08/09/2020 15:47:22 MainProcess _training_0 _base _stack_images DEBUG Stack images
08/09/2020 15:47:22 MainProcess _training_0 _base get_transpose_axes DEBUG Even number of images to stack
08/09/2020 15:47:22 MainProcess _training_0 _base _stack_images DEBUG Stacked images
08/09/2020 15:47:22 MainProcess _training_0 _base show_sample DEBUG Compiled sample
08/09/2020 15:47:22 MainProcess _training_0 _base output_timelapse DEBUG Ouputting time-lapse
08/09/2020 15:47:22 MainProcess _training_0 _base show_sample DEBUG Showing sample
08/09/2020 15:47:22 MainProcess _training_0 _base _get_predictions DEBUG Getting Predictions
08/09/2020 15:47:22 MainProcess _training_0 _base _get_predictions DEBUG Returning predictions: {'a_a': (14, 64, 64, 3), 'b_a': (14, 64, 64, 3), 'a_b': (14, 64, 64, 3), 'b_b': (14, 64, 64, 3)}
08/09/2020 15:47:22 MainProcess _training_0 _base _to_full_frame DEBUG side: 'a', number of sample arrays: 3, prediction.shapes: [(14, 64, 64, 3), (14, 64, 64, 3)])
08/09/2020 15:47:22 MainProcess _training_0 _base _frame_overlay DEBUG full_size: 256, target_size: 224, color: (0, 0, 255)
08/09/2020 15:47:22 MainProcess _training_0 _base _frame_overlay DEBUG Overlayed background. Shape: (14, 256, 256, 3)
08/09/2020 15:47:22 MainProcess _training_0 _base _resize_sample DEBUG Resizing sample: (side: 'a', sample.shape: (14, 64, 64, 3), target_size: 224, scale: 3.5)
08/09/2020 15:47:22 MainProcess _training_0 _base _resize_sample DEBUG Resized sample: (side: 'a' shape: (14, 224, 224, 3))
08/09/2020 15:47:22 MainProcess _training_0 _base _resize_sample DEBUG Resizing sample: (side: 'a', sample.shape: (14, 64, 64, 3), target_size: 224, scale: 3.5)
08/09/2020 15:47:22 MainProcess _training_0 _base _resize_sample DEBUG Resized sample: (side: 'a' shape: (14, 224, 224, 3))
08/09/2020 15:47:22 MainProcess _training_0 _base _resize_sample DEBUG Resizing sample: (side: 'a', sample.shape: (14, 64, 64, 3), target_size: 224, scale: 3.5)
08/09/2020 15:47:22 MainProcess _training_0 _base _resize_sample DEBUG Resized sample: (side: 'a' shape: (14, 224, 224, 3))
08/09/2020 15:47:22 MainProcess _training_0 _base _overlay_foreground DEBUG Overlayed foreground. Shape: (14, 256, 256, 3)
08/09/2020 15:47:22 MainProcess _training_0 _base _overlay_foreground DEBUG Overlayed foreground. Shape: (14, 256, 256, 3)
08/09/2020 15:47:22 MainProcess _training_0 _base _overlay_foreground DEBUG Overlayed foreground. Shape: (14, 256, 256, 3)
08/09/2020 15:47:22 MainProcess _training_0 _base _get_headers DEBUG side: 'a', width: 256
08/09/2020 15:47:22 MainProcess _training_0 _base _get_headers DEBUG height: 64, total_width: 768
08/09/2020 15:47:22 MainProcess _training_0 _base _get_headers DEBUG texts: ['Original (A)', 'Original > Original', 'Original > Swap'], text_sizes: [(143, 18), (231, 18), (203, 18)], text_x: [56, 268, 538], text_y: 41
08/09/2020 15:47:22 MainProcess _training_0 _base _get_headers DEBUG header_box.shape: (64, 768, 3)
08/09/2020 15:47:22 MainProcess _training_0 _base _to_full_frame DEBUG side: 'b', number of sample arrays: 3, prediction.shapes: [(14, 64, 64, 3), (14, 64, 64, 3)])
08/09/2020 15:47:22 MainProcess _training_0 _base _frame_overlay DEBUG full_size: 256, target_size: 224, color: (0, 0, 255)
08/09/2020 15:47:22 MainProcess _training_0 _base _frame_overlay DEBUG Overlayed background. Shape: (14, 256, 256, 3)
08/09/2020 15:47:22 MainProcess _training_0 _base _resize_sample DEBUG Resizing sample: (side: 'b', sample.shape: (14, 64, 64, 3), target_size: 224, scale: 3.5)
08/09/2020 15:47:22 MainProcess _training_0 _base _resize_sample DEBUG Resized sample: (side: 'b' shape: (14, 224, 224, 3))
08/09/2020 15:47:22 MainProcess _training_0 _base _resize_sample DEBUG Resizing sample: (side: 'b', sample.shape: (14, 64, 64, 3), target_size: 224, scale: 3.5)
08/09/2020 15:47:22 MainProcess _training_0 _base _resize_sample DEBUG Resized sample: (side: 'b' shape: (14, 224, 224, 3))
08/09/2020 15:47:22 MainProcess _training_0 _base _resize_sample DEBUG Resizing sample: (side: 'b', sample.shape: (14, 64, 64, 3), target_size: 224, scale: 3.5)
08/09/2020 15:47:22 MainProcess _training_0 _base _resize_sample DEBUG Resized sample: (side: 'b' shape: (14, 224, 224, 3))
08/09/2020 15:47:22 MainProcess _training_0 _base _overlay_foreground DEBUG Overlayed foreground. Shape: (14, 256, 256, 3)
08/09/2020 15:47:22 MainProcess _training_0 _base _overlay_foreground DEBUG Overlayed foreground. Shape: (14, 256, 256, 3)
08/09/2020 15:47:22 MainProcess _training_0 _base _overlay_foreground DEBUG Overlayed foreground. Shape: (14, 256, 256, 3)
08/09/2020 15:47:22 MainProcess _training_0 _base _get_headers DEBUG side: 'b', width: 256
08/09/2020 15:47:22 MainProcess _training_0 _base _get_headers DEBUG height: 64, total_width: 768
08/09/2020 15:47:22 MainProcess _training_0 _base _get_headers DEBUG texts: ['Swap (B)', 'Swap > Swap', 'Swap > Original'], text_sizes: [(117, 18), (174, 18), (203, 18)], text_x: [69, 297, 538], text_y: 41
08/09/2020 15:47:22 MainProcess _training_0 _base _get_headers DEBUG header_box.shape: (64, 768, 3)
08/09/2020 15:47:22 MainProcess _training_0 _base _duplicate_headers DEBUG side: a header.shape: (64, 768, 3)
08/09/2020 15:47:22 MainProcess _training_0 _base _duplicate_headers DEBUG side: b header.shape: (64, 768, 3)
08/09/2020 15:47:22 MainProcess _training_0 _base _stack_images DEBUG Stack images
08/09/2020 15:47:22 MainProcess _training_0 _base get_transpose_axes DEBUG Even number of images to stack
08/09/2020 15:47:22 MainProcess _training_0 _base _stack_images DEBUG Stacked images
08/09/2020 15:47:22 MainProcess _training_0 _base show_sample DEBUG Compiled sample
08/09/2020 15:47:23 MainProcess _training_0 _base output_timelapse DEBUG Created time-lapse: 'Z:\Desktop\AIhuanlian\4\1596959242.jpg'
08/09/2020 15:47:23 MainProcess _training_0 _base save_models DEBUG Backing up and saving models
08/09/2020 15:47:23 MainProcess _training_0 _base get_save_averages DEBUG Getting save averages
08/09/2020 15:47:23 MainProcess _training_0 _base get_save_averages DEBUG Average losses since last save: {'a': 0.15506478816270827, 'b': 0.12676110863685608}
08/09/2020 15:47:23 MainProcess _training_0 _base check_loss_drop DEBUG Loss for 'a' has dropped
08/09/2020 15:47:23 MainProcess _training_0 _base check_loss_drop DEBUG Loss for 'b' has dropped
08/09/2020 15:47:23 MainProcess _training_0 _base should_backup DEBUG Lowest historical save iteration loss average: {'a': 0.20144721038639546, 'b': 0.16185383029282094}
08/09/2020 15:47:23 MainProcess _training_0 _base should_backup DEBUG Updating lowest save iteration average for 'a': 0.15506478816270827
08/09/2020 15:47:23 MainProcess _training_0 _base should_backup DEBUG Updating lowest save iteration average for 'b': 0.12676110863685608
08/09/2020 15:47:23 MainProcess _training_0 _base should_backup DEBUG Backing up: True
08/09/2020 15:47:23 MainProcess _training_0 _base save_models INFO Backing up models...
08/09/2020 15:47:23 MainProcess ThreadPoolExecutor-434_0 backup_restore backup_model VERBOSE Backing up: 'Z:\Desktop\AIhuanlian\moxingmulu\lightweight_decoder_A.h5' to 'Z:\Desktop\AIhuanlian\moxingmulu\lightweight_decoder_A.h5.bk'
08/09/2020 15:47:23 MainProcess ThreadPoolExecutor-434_1 backup_restore backup_model VERBOSE Backing up: 'Z:\Desktop\AIhuanlian\moxingmulu\lightweight_decoder_B.h5' to 'Z:\Desktop\AIhuanlian\moxingmulu\lightweight_decoder_B.h5.bk'
08/09/2020 15:47:23 MainProcess ThreadPoolExecutor-434_2 backup_restore backup_model VERBOSE Backing up: 'Z:\Desktop\AIhuanlian\moxingmulu\lightweight_encoder.h5' to 'Z:\Desktop\AIhuanlian\moxingmulu\lightweight_encoder.h5.bk'
08/09/2020 15:47:23 MainProcess ThreadPoolExecutor-434_3 _base save DEBUG Saving State
08/09/2020 15:47:23 MainProcess ThreadPoolExecutor-434_3 backup_restore backup_model VERBOSE Backing up: 'Z:\Desktop\AIhuanlian\moxingmulu\lightweight_state.json' to 'Z:\Desktop\AIhuanlian\moxingmulu\lightweight_state.json.bk'
08/09/2020 15:47:23 MainProcess ThreadPoolExecutor-434_0 _base save DEBUG Saving model: 'Z:\Desktop\AIhuanlian\moxingmulu\lightweight_decoder_A.h5'
08/09/2020 15:47:23 MainProcess ThreadPoolExecutor-434_1 _base save DEBUG Saving model: 'Z:\Desktop\AIhuanlian\moxingmulu\lightweight_decoder_B.h5'
08/09/2020 15:47:23 MainProcess ThreadPoolExecutor-434_2 _base save DEBUG Saving model: 'Z:\Desktop\AIhuanlian\moxingmulu\lightweight_encoder.h5'
08/09/2020 15:47:23 MainProcess ThreadPoolExecutor-434_3 serializer save DEBUG filename: Z:\Desktop\AIhuanlian\moxingmulu\lightweight_state.json, data type: <class 'dict'>
08/09/2020 15:47:23 MainProcess ThreadPoolExecutor-434_3 serializer _check_extension DEBUG Original filename: 'Z:\Desktop\AIhuanlian\moxingmulu\lightweight_state.json', final filename: 'Z:\Desktop\AIhuanlian\moxingmulu\lightweight_state.json'
08/09/2020 15:47:23 MainProcess ThreadPoolExecutor-434_3 serializer marshal DEBUG data type: <class 'dict'>
08/09/2020 15:47:23 MainProcess ThreadPoolExecutor-434_3 serializer marshal DEBUG returned data type: <class 'bytes'>
08/09/2020 15:47:23 MainProcess ThreadPoolExecutor-434_3 _base save DEBUG Saved State
08/09/2020 15:47:23 MainProcess _training_0 _base save_models INFO [Saved models] - Average since last save: face_loss_A: 0.15506, face_loss_B: 0.12676
08/09/2020 15:48:17 MainProcess ThreadPoolExecutor-603_0 image read_image ERROR Error while reading image. This is most likely caused by special characters in the filename: 'Z:\Desktop\AIhuanlian\xhssf\xhssf_000514_1 - 副本.png'
08/09/2020 15:48:18 MainProcess ThreadPoolExecutor-605_0 image read_image ERROR Error while reading image. This is most likely caused by special characters in the filename: 'Z:\Desktop\AIhuanlian\xhssf\xhssf_000514_1 - 副本.png'
08/09/2020 15:48:18 MainProcess _run_0 multithreading run DEBUG Error in thread (_run_0): Error while reading image. This is most likely caused by special characters in the filename: 'Z:\Desktop\AIhuanlian\xhssf\xhssf_000514_1 - 副本.png'
08/09/2020 15:48:19 MainProcess _training_0 multithreading check_and_raise_error DEBUG Thread error caught: [(<class 'Exception'>, Exception("Error while reading image. This is most likely caused by special characters in the filename: 'Z:\\Desktop\\AIhuanlian\\xhssf\\xhssf_000514_1 - 副本.png'"), <traceback object at 0x0000019CD2ABD648>)]
08/09/2020 15:48:19 MainProcess _training_0 multithreading run DEBUG Error in thread (_training_0): Error while reading image. This is most likely caused by special characters in the filename: 'Z:\Desktop\AIhuanlian\xhssf\xhssf_000514_1 - 副本.png'
08/09/2020 15:48:19 MainProcess _run_1 multithreading run DEBUG Error in thread (_run_1): Error while reading image. This is most likely caused by special characters in the filename: 'Z:\Desktop\AIhuanlian\xhssf\xhssf_000514_1 - 副本.png'
08/09/2020 15:48:20 MainProcess MainThread train _monitor DEBUG Thread error detected
08/09/2020 15:48:20 MainProcess MainThread train _monitor DEBUG Closed Monitor
08/09/2020 15:48:20 MainProcess MainThread train _end_thread DEBUG Ending Training thread
08/09/2020 15:48:20 MainProcess MainThread train _end_thread CRITICAL Error caught! Exiting...
08/09/2020 15:48:20 MainProcess MainThread multithreading join DEBUG Joining Threads: '_training'
08/09/2020 15:48:20 MainProcess MainThread multithreading join DEBUG Joining Thread: '_training_0'
08/09/2020 15:48:20 MainProcess MainThread multithreading join ERROR Caught exception in thread: '_training_0'
Traceback (most recent call last):
File "C:\Users\15975\faceswap\lib\image.py", line 271, in read_image
raise ValueError
ValueError
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:\Users\15975\faceswap\lib\cli\launcher.py", line 155, in execute_script
process.process()
File "C:\Users\15975\faceswap\scripts\train.py", line 161, in process
self._end_thread(thread, err)
File "C:\Users\15975\faceswap\scripts\train.py", line 201, in _end_thread
thread.join()
File "C:\Users\15975\faceswap\lib\multithreading.py", line 121, in join
raise thread.err[1].with_traceback(thread.err[2])
File "C:\Users\15975\faceswap\lib\multithreading.py", line 37, in run
self._target(*self._args, **self._kwargs)
File "C:\Users\15975\faceswap\scripts\train.py", line 226, in _training
raise err
File "C:\Users\15975\faceswap\scripts\train.py", line 216, in _training
self._run_training_cycle(model, trainer)
File "C:\Users\15975\faceswap\scripts\train.py", line 305, in _run_training_cycle
trainer.train_one_step(viewer, timelapse)
File "C:\Users\15975\faceswap\plugins\train\trainer\_base.py", line 316, in train_one_step
raise err
File "C:\Users\15975\faceswap\plugins\train\trainer\_base.py", line 283, in train_one_step
loss[side] = batcher.train_one_batch()
File "C:\Users\15975\faceswap\plugins\train\trainer\_base.py", line 422, in train_one_batch
model_inputs, model_targets = self._get_next()
File "C:\Users\15975\faceswap\plugins\train\trainer\_base.py", line 452, in _get_next
batch = next(self._feed)
File "C:\Users\15975\faceswap\lib\multithreading.py", line 156, in iterator
self.check_and_raise_error()
File "C:\Users\15975\faceswap\lib\multithreading.py", line 84, in check_and_raise_error
raise error[1].with_traceback(error[2])
File "C:\Users\15975\faceswap\lib\multithreading.py", line 37, in run
self._target(*self._args, **self._kwargs)
File "C:\Users\15975\faceswap\lib\multithreading.py", line 145, in _run
for item in self.generator(*self._gen_args, **self._gen_kwargs):
File "C:\Users\15975\faceswap\lib\training_data.py", line 189, in _minibatch
yield self._process_batch(img_paths, side)
File "C:\Users\15975\faceswap\lib\training_data.py", line 197, in _process_batch
batch = read_image_batch(filenames)
File "C:\Users\15975\faceswap\lib\image.py", line 334, in read_image_batch
batch[return_indices[images[future]].pop()] = future.result()
File "C:\Users\15975\MiniConda3\envs\faceswap\lib\concurrent\futures\_base.py", line 428, in result
return self.__get_result()
File "C:\Users\15975\MiniConda3\envs\faceswap\lib\concurrent\futures\_base.py", line 384, in __get_result
raise self._exception
File "C:\Users\15975\MiniConda3\envs\faceswap\lib\concurrent\futures\thread.py", line 57, in run
result = self.fn(*self.args, **self.kwargs)
File "C:\Users\15975\faceswap\lib\image.py", line 284, in read_image
raise Exception(msg)
Exception: Error while reading image. This is most likely caused by special characters in the filename: 'Z:\Desktop\AIhuanlian\xhssf\xhssf_000514_1 - 副本.png'
============ System Information ============
encoding: cp936
git_branch: master
git_commits: 3fd26b5 Manual Tool (#1038)
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: GeForce GTX 1050 Ti
gpu_devices_active: GPU_0
gpu_driver: 451.77
gpu_vram: GPU_0: 4096MB
os_machine: AMD64
os_platform: Windows-10-10.0.18362-SP0
os_release: 10
py_command: C:\Users\15975\faceswap\faceswap.py train -A Z:/Desktop/AIhuanlian/xhssf -B Z:/Desktop/AIhuanlian/wsczhengli -m Z:/Desktop/AIhuanlian/moxingmulu -t lightweight -bs 12 -it 1000000 -g 1 -msg -o -s 100 -ss 25000 -tia Z:/Desktop/AIhuanlian/xhssf -tib Z:/Desktop/AIhuanlian/wsczhengli -to Z:/Desktop/AIhuanlian/4 -ps 50 -ag -L INFO -gui
py_conda_version: conda 4.8.3
py_implementation: CPython
py_version: 3.7.7
py_virtual_env: True
sys_cores: 12
sys_processor: Intel64 Family 6 Model 158 Stepping 10, GenuineIntel
sys_ram: Total: 24434MB, Available: 13908MB, Used: 10526MB, Free: 13908MB
=============== Pip Packages ===============
absl-py==0.9.0
astor==0.8.0
blinker==1.4
brotlipy==0.7.0
cachetools==4.1.0
certifi==2020.6.20
cffi==1.14.0
chardet==3.0.4
click==7.1.2
cloudpickle @ file:///tmp/build/80754af9/cloudpickle_1594141588948/work
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
fastcluster==1.1.26
ffmpy==0.2.3
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 @ file:///tmp/build/80754af9/idna_1593446292537/work
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
networkx @ file:///tmp/build/80754af9/networkx_1594377231366/work
numpy @ file:///C:/ci/numpy_and_numpy_base_1596233945180/work
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
Pillow @ file:///C:/ci/pillow_1594298234712/work
protobuf==3.12.3
psutil==5.7.0
pyasn1==0.4.8
pyasn1-modules==0.2.7
pycparser @ file:///tmp/build/80754af9/pycparser_1594388511720/work
PyJWT==1.7.1
pyOpenSSL @ file:///tmp/build/80754af9/pyopenssl_1594392929924/work
pyparsing==2.4.7
pyreadline==2.1
PySocks @ file:///C:/ci/pysocks_1594394709107/work
python-dateutil==2.8.1
PyWavelets==1.1.1
pywin32==227
PyYAML==5.3.1
requests @ file:///tmp/build/80754af9/requests_1592841827918/work
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
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
Werkzeug==0.16.1
win-inet-pton==1.1.0
wincertstore==0.2
wrapt==1.12.1
============== Conda Packages ==============
# packages in environment at C:\Users\15975\MiniConda3\envs\faceswap:
#
# Name Version Build Channel
_tflow_select 2.1.0 gpu
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
cudatoolkit 10.0.130 0
cudnn 7.6.5 cuda10.0_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_1 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_1
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 1.19.1 py37h5510c5b_0
numpy-base 1.19.1 py37ha3acd2a_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
psutil 5.7.0 py37he774522_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 gpu_py37hc3743a6_0
tensorflow-base 1.15.0 gpu_py37h1afeea4_0
tensorflow-estimator 1.15.1 pyh2649769_0
tensorflow-gpu 1.15.0 h0d30ee6_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 h04227a9_0
=============== State File =================
{
"name": "lightweight",
"sessions": {
"1": {
"timestamp": 1596959092.584746,
"no_logs": false,
"pingpong": false,
"loss_names": {
"a": [
"face_loss"
],
"b": [
"face_loss"
]
},
"batchsize": 12,
"iterations": 201,
"config": {
"learning_rate": 5e-05
}
}
},
"lowest_avg_loss": {
"a": 0.15506478816270827,
"b": 0.12676110863685608
},
"iterations": 201,
"inputs": {
"face_in:0": [
64,
64,
3
]
},
"training_size": 256,
"config": {
"coverage": 87.5,
"mask_type": null,
"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": "ssim",
"learning_rate": 5e-05
}
}
================= 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: 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: 87.5
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: ssim
learning_rate: 5e-05
[model.dfl_h128]
lowmem: True
[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