Could not broadcast input array from shape

Want to know about the Faceswap's Face Extraction process? Got tips, ideas or just want to learn about how it all works? Then this is the place for you


Forum rules

Read the FAQs and search the forum before posting a new topic.

This forum is for discussing tips and understanding the process involved for Extracting and preparing face sets for training a model in Faceswap.

If you have found a bug are having issues with the Extraction process not working, then you should post in the Extract Support forum.

Please mark any answers that fixed your problems so others can find the solutions.

Locked
User avatar
MarcusAgrippa
Posts: 7
Joined: Tue Aug 03, 2021 5:21 pm

Could not broadcast input array from shape

Post by MarcusAgrippa »

Hi,

I am new on this, so forgive my lack of accuracy. Just downloaded Faceswap to a brand-new machine, so I do not believe this is an issue related to conflicting libraries or old version software. Already checked for Faceswap new updates.

I have been meeting this error message “could not broadcast input array from shape (#,#,#) into shape (#,#,#)” during the beginning of the Extract process, Mask phase.

Code: Select all

08/04/2021 18:58:01 MainProcess     MainThread                     pipeline        _launch_plugin                 DEBUG    Launched mask_1 plugin
08/04/2021 18:58:01 MainProcess     MainThread                     pipeline        _launch_plugin                 DEBUG    Launching mask_2 plugin
08/04/2021 18:58:01 MainProcess     MainThread                     pipeline        _launch_plugin                 DEBUG    in_qname: extract0_mask_2_in, out_qname: extract0_mask_2_out
08/04/2021 18:58:01 MainProcess     MainThread                     _base           initialize                     DEBUG    initialize Mask: (args: (), kwargs: {'in_queue': <queue.Queue object at 0x00000177956A48B0>, 'out_queue': <queue.Queue object at 0x00000177956A4A30>})
08/04/2021 18:58:01 MainProcess     MainThread                     _base           initialize                     INFO     Initializing VGG Clear (Mask)...
08/04/2021 18:58:01 MainProcess     MainThread                     queue_manager   get_queue                      DEBUG    QueueManager getting: 'mask0_predict_vgg_clear'
08/04/2021 18:58:01 MainProcess     MainThread                     queue_manager   add_queue                      DEBUG    QueueManager adding: (name: 'mask0_predict_vgg_clear', maxsize: 1, create_new: False)
08/04/2021 18:58:01 MainProcess     MainThread                     queue_manager   add_queue                      DEBUG    QueueManager added: (name: 'mask0_predict_vgg_clear')
08/04/2021 18:58:01 MainProcess     MainThread                     queue_manager   get_queue                      DEBUG    QueueManager got: 'mask0_predict_vgg_clear'
08/04/2021 18:58:01 MainProcess     MainThread                     queue_manager   get_queue                      DEBUG    QueueManager getting: 'mask0_post_vgg_clear'
08/04/2021 18:58:01 MainProcess     MainThread                     queue_manager   add_queue                      DEBUG    QueueManager adding: (name: 'mask0_post_vgg_clear', maxsize: 1, create_new: False)
08/04/2021 18:58:01 MainProcess     MainThread                     queue_manager   add_queue                      DEBUG    QueueManager added: (name: 'mask0_post_vgg_clear')
08/04/2021 18:58:01 MainProcess     MainThread                     queue_manager   get_queue                      DEBUG    QueueManager got: 'mask0_post_vgg_clear'
08/04/2021 18:58:01 MainProcess     MainThread                     _base           _compile_threads               DEBUG    Compiling mask threads
08/04/2021 18:58:01 MainProcess     MainThread                     _base           _add_thread                    DEBUG    Adding thread: (name: mask_vgg_clear_input, function: <bound method Extractor._process_input of <plugins.extract.mask.vgg_clear.Mask object at 0x00000177954CF880>>, in_queue: <queue.Queue object at 0x00000177956A48B0>, out_queue: <queue.Queue object at 0x0000017AF6FA5C40>)
08/04/2021 18:58:01 MainProcess     MainThread                     multithreading  __init__                       DEBUG    Initializing MultiThread: (target: 'mask_vgg_clear_input', thread_count: 1)
08/04/2021 18:58:01 MainProcess     MainThread                     multithreading  __init__                       DEBUG    Initialized MultiThread: 'mask_vgg_clear_input'
08/04/2021 18:58:01 MainProcess     MainThread                     _base           _add_thread                    DEBUG    Added thread: mask_vgg_clear_input
08/04/2021 18:58:01 MainProcess     MainThread                     _base           _add_thread                    DEBUG    Adding thread: (name: mask_vgg_clear_predict, function: <bound method Masker._predict of <plugins.extract.mask.vgg_clear.Mask object at 0x00000177954CF880>>, in_queue: <queue.Queue object at 0x0000017AF6FA5C40>, out_queue: <queue.Queue object at 0x0000017AF6FA5E20>)
08/04/2021 18:58:01 MainProcess     MainThread                     multithreading  __init__                       DEBUG    Initializing MultiThread: (target: 'mask_vgg_clear_predict', thread_count: 1)
08/04/2021 18:58:01 MainProcess     MainThread                     multithreading  __init__                       DEBUG    Initialized MultiThread: 'mask_vgg_clear_predict'
08/04/2021 18:58:01 MainProcess     MainThread                     _base           _add_thread                    DEBUG    Added thread: mask_vgg_clear_predict
08/04/2021 18:58:01 MainProcess     MainThread                     _base           _add_thread                    DEBUG    Adding thread: (name: mask_vgg_clear_output, function: <bound method Extractor._process_output of <plugins.extract.mask.vgg_clear.Mask object at 0x00000177954CF880>>, in_queue: <queue.Queue object at 0x0000017AF6FA5E20>, out_queue: <queue.Queue object at 0x00000177956A4A30>)
08/04/2021 18:58:01 MainProcess     MainThread                     multithreading  __init__                       DEBUG    Initializing MultiThread: (target: 'mask_vgg_clear_output', thread_count: 1)
08/04/2021 18:58:01 MainProcess     MainThread                     multithreading  __init__                       DEBUG    Initialized MultiThread: 'mask_vgg_clear_output'
08/04/2021 18:58:01 MainProcess     MainThread                     _base           _add_thread                    DEBUG    Added thread: mask_vgg_clear_output
08/04/2021 18:58:01 MainProcess     MainThread                     _base           _compile_threads               DEBUG    Compiled mask threads: [<lib.multithreading.MultiThread object at 0x0000017AF6FA5490>, <lib.multithreading.MultiThread object at 0x0000017AF6FA5FA0>, <lib.multithreading.MultiThread object at 0x0000017AF6FA5FD0>]
08/04/2021 18:58:02 MainProcess     MainThread                     session         load_model_weights             VERBOSE  Initializing plugin model: VGG Obstructed
08/04/2021 18:58:03 MainProcess     MainThread                     session         append_softmax_activation      DEBUG    Appending Softmax Activation to model: (layer_index: -1)
08/04/2021 18:58:05 MainProcess     MainThread                     _base           initialize                     INFO     Initialized VGG Clear (Mask) with batchsize of 6
08/04/2021 18:58:05 MainProcess     MainThread                     multithreading  start                          DEBUG    Starting thread(s): 'mask_vgg_clear_input'
08/04/2021 18:58:05 MainProcess     MainThread                     multithreading  start                          DEBUG    Starting thread 1 of 1: 'mask_vgg_clear_input_0'
08/04/2021 18:58:05 MainProcess     mask_vgg_clear_input_0         _base           _thread_process                DEBUG    threading: (function: '_process_input')
08/04/2021 18:58:05 MainProcess     MainThread                     multithreading  start                          DEBUG    Started all threads 'mask_vgg_clear_input': 1
08/04/2021 18:58:05 MainProcess     MainThread                     multithreading  start                          DEBUG    Starting thread(s): 'mask_vgg_clear_predict'
08/04/2021 18:58:05 MainProcess     MainThread                     multithreading  start                          DEBUG    Starting thread 1 of 1: 'mask_vgg_clear_predict_0'
08/04/2021 18:58:05 MainProcess     mask_vgg_clear_predict_0       _base           _thread_process                DEBUG    threading: (function: '_predict')
08/04/2021 18:58:05 MainProcess     MainThread                     multithreading  start                          DEBUG    Started all threads 'mask_vgg_clear_predict': 1
08/04/2021 18:58:05 MainProcess     MainThread                     multithreading  start                          DEBUG    Starting thread(s): 'mask_vgg_clear_output'
08/04/2021 18:58:05 MainProcess     MainThread                     multithreading  start                          DEBUG    Starting thread 1 of 1: 'mask_vgg_clear_output_0'
08/04/2021 18:58:05 MainProcess     mask_vgg_clear_output_0        _base           _thread_process                DEBUG    threading: (function: '_process_output')
08/04/2021 18:58:05 MainProcess     MainThread                     multithreading  start                          DEBUG    Started all threads 'mask_vgg_clear_output': 1
08/04/2021 18:58:05 MainProcess     MainThread                     pipeline        _launch_plugin                 DEBUG    Launched mask_2 plugin
08/04/2021 18:58:05 MainProcess     MainThread                     pipeline        detected_faces                 DEBUG    Running Detection. Phase: '['detect', 'align', 'mask_0', 'mask_1', 'mask_2']'
08/04/2021 18:58:05 MainProcess     MainThread                     extract         _output_processing             VERBOSE  No faces were detected in image: 1.png
08/04/2021 18:58:05 MainProcess     MainThread                     extract         _output_processing             VERBOSE  No faces were detected in image: 10.png
08/04/2021 18:58:05 MainProcess     MainThread                     extract         _output_processing             VERBOSE  No faces were detected in image: 11.png
08/04/2021 18:58:05 MainProcess     MainThread                     extract         _output_processing             VERBOSE  No faces were detected in image: 12.png
08/04/2021 18:58:05 MainProcess     MainThread                     extract         _output_processing             VERBOSE  No faces were detected in image: 13.png
08/04/2021 18:58:05 MainProcess     MainThread                     extract         _output_processing             VERBOSE  No faces were detected in image: 14.png
08/04/2021 18:58:05 MainProcess     MainThread                     extract         _output_processing             VERBOSE  No faces were detected in image: 15.png
08/04/2021 18:58:05 MainProcess     MainThread                     extract         _output_processing             VERBOSE  No faces were detected in image: 16.png
08/04/2021 18:58:05 MainProcess     MainThread                     extract         _output_processing             VERBOSE  No faces were detected in image: 17.png
08/04/2021 18:58:05 MainProcess     align_fan_input_0              fan             process_input                  DEBUG    Aligning faces around center
08/04/2021 18:58:05 MainProcess     align_fan_input_0              fan             get_center_scale               DEBUG    Calculating center and scale
08/04/2021 18:58:05 MainProcess     align_fan_input_0              fan             crop                           DEBUG    Cropping images
08/04/2021 18:58:05 MainProcess     align_fan_input_0              fan             transform                      DEBUG    Transforming Points
08/04/2021 18:58:05 MainProcess     align_fan_input_0              fan             transform                      DEBUG    Transforming Points
08/04/2021 18:58:05 MainProcess     align_fan_predict_0            fan             predict                        DEBUG    Predicting Landmarks
08/04/2021 18:58:05 MainProcess     align_fan_input_0              fan             process_input                  DEBUG    Aligning faces around center
08/04/2021 18:58:05 MainProcess     align_fan_input_0              fan             get_center_scale               DEBUG    Calculating center and scale
08/04/2021 18:58:05 MainProcess     align_fan_input_0              fan             crop                           DEBUG    Cropping images
08/04/2021 18:58:05 MainProcess     align_fan_input_0              fan             transform                      DEBUG    Transforming Points
08/04/2021 18:58:05 MainProcess     align_fan_input_0              fan             transform                      DEBUG    Transforming Points
08/04/2021 18:58:05 MainProcess     align_fan_output_0             fan             get_pts_from_predict           DEBUG    Obtain points from prediction
08/04/2021 18:58:05 MainProcess     align_fan_output_0             fan             transform                      DEBUG    Transforming Points
08/04/2021 18:58:05 MainProcess     align_fan_input_0              fan             process_input                  DEBUG    Aligning faces around center
08/04/2021 18:58:05 MainProcess     align_fan_input_0              fan             get_center_scale               DEBUG    Calculating center and scale
08/04/2021 18:58:05 MainProcess     align_fan_input_0              fan             crop                           DEBUG    Cropping images
08/04/2021 18:58:05 MainProcess     align_fan_input_0              fan             transform                      DEBUG    Transforming Points
08/04/2021 18:58:05 MainProcess     align_fan_input_0              fan             transform                      DEBUG    Transforming Points
08/04/2021 18:58:05 MainProcess     align_fan_predict_0            fan             predict                        DEBUG    Predicting Landmarks
08/04/2021 18:58:06 MainProcess     align_fan_input_0              fan             process_input                  DEBUG    Aligning faces around center
08/04/2021 18:58:06 MainProcess     align_fan_input_0              fan             get_center_scale               DEBUG    Calculating center and scale
08/04/2021 18:58:06 MainProcess     align_fan_input_0              fan             crop                           DEBUG    Cropping images
08/04/2021 18:58:06 MainProcess     align_fan_input_0              fan             transform                      DEBUG    Transforming Points
08/04/2021 18:58:06 MainProcess     align_fan_input_0              fan             transform                      DEBUG    Transforming Points
08/04/2021 18:58:06 MainProcess     align_fan_predict_0            fan             predict                        DEBUG    Predicting Landmarks
08/04/2021 18:58:06 MainProcess     align_fan_output_0             fan             get_pts_from_predict           DEBUG    Obtain points from prediction
08/04/2021 18:58:06 MainProcess     align_fan_input_0              fan             process_input                  DEBUG    Aligning faces around center
08/04/2021 18:58:06 MainProcess     align_fan_input_0              fan             get_center_scale               DEBUG    Calculating center and scale
08/04/2021 18:58:06 MainProcess     align_fan_input_0              fan             crop                           DEBUG    Cropping images
08/04/2021 18:58:06 MainProcess     align_fan_input_0              fan             transform                      DEBUG    Transforming Points
08/04/2021 18:58:06 MainProcess     align_fan_input_0              fan             transform                      DEBUG    Transforming Points
08/04/2021 18:58:06 MainProcess     align_fan_output_0             fan             transform                      DEBUG    Transforming Points
08/04/2021 18:58:06 MainProcess     align_fan_predict_0            fan             predict                        DEBUG    Predicting Landmarks
08/04/2021 18:58:06 MainProcess     align_fan_output_0             fan             get_pts_from_predict           DEBUG    Obtain points from prediction
08/04/2021 18:58:06 MainProcess     align_fan_input_0              fan             process_input                  DEBUG    Aligning faces around center
08/04/2021 18:58:06 MainProcess     align_fan_input_0              fan             get_center_scale               DEBUG    Calculating center and scale
08/04/2021 18:58:06 MainProcess     align_fan_input_0              fan             crop                           DEBUG    Cropping images
08/04/2021 18:58:06 MainProcess     align_fan_input_0              fan             transform                      DEBUG    Transforming Points
08/04/2021 18:58:06 MainProcess     align_fan_input_0              fan             transform                      DEBUG    Transforming Points
08/04/2021 18:58:06 MainProcess     align_fan_output_0             fan             transform                      DEBUG    Transforming Points
08/04/2021 18:58:06 MainProcess     align_fan_input_0              multithreading  run                            DEBUG    Error in thread (align_fan_input_0): could not broadcast input array from shape (1059,788,3) into shape (0,788,3)
08/04/2021 18:58:06 MainProcess     align_fan_predict_0            fan             predict                        DEBUG    Predicting Landmarks
08/04/2021 18:58:06 MainProcess     align_fan_output_0             fan             get_pts_from_predict           DEBUG    Obtain points from prediction
08/04/2021 18:58:06 MainProcess     align_fan_output_0             fan             transform                      DEBUG    Transforming Points
08/04/2021 18:58:06 MainProcess     align_fan_output_0             fan             get_pts_from_predict           DEBUG    Obtain points from prediction
08/04/2021 18:58:06 MainProcess     align_fan_output_0             fan             transform                      DEBUG    Transforming Points
08/04/2021 18:58:07 MainProcess     MainThread                     multithreading  check_and_raise_error          DEBUG    Thread error caught: [(<class 'ValueError'>, ValueError('could not broadcast input array from shape (1059,788,3) into shape (0,788,3)'), <traceback object at 0x00000177D1F075C0>)]
Traceback (most recent call last):
  File "C:\Users\user\faceswap\lib\cli\launcher.py", line 182, in execute_script
    process.process()
  File "C:\Users\user\faceswap\scripts\extract.py", line 119, in process
    self._run_extraction()
  File "C:\Users\user\faceswap\scripts\extract.py", line 216, in _run_extraction
    for idx, extract_media in enumerate(status_bar):
  File "C:\Users\user\MiniConda3\envs\faceswap\lib\site-packages\tqdm\std.py", line 1185, in __iter__
    for obj in iterable:
  File "C:\Users\user\faceswap\plugins\extract\pipeline.py", line 239, in detected_faces
    if self._check_and_raise_error():
  File "C:\Users\user\faceswap\plugins\extract\pipeline.py", line 662, in _check_and_raise_error
    if plugin.check_and_raise_error():
  File "C:\Users\user\faceswap\plugins\extract\_base.py", line 347, in check_and_raise_error
    err = thread.check_and_raise_error()
  File "C:\Users\user\faceswap\lib\multithreading.py", line 84, in check_and_raise_error
    raise error[1].with_traceback(error[2])
  File "C:\Users\user\faceswap\lib\multithreading.py", line 37, in run
    self._target(*self._args, **self._kwargs)
  File "C:\Users\user\faceswap\plugins\extract\_base.py", line 465, in _thread_process
    batch = function(batch)
  File "C:\Users\user\faceswap\plugins\extract\align\_base.py", line 255, in _process_input
    result = self.process_input(batch)
  File "C:\Users\user\faceswap\plugins\extract\align\fan.py", line 44, in process_input
    faces = self.crop(batch)
  File "C:\Users\user\faceswap\plugins\extract\align\fan.py", line 93, in crop
    new_img[new_y, new_x] = image[old_y, old_x]
ValueError: could not broadcast input array from shape (1059,788,3) into shape (0,788,3)

============ System Information ============
encoding:            cp1252
git_branch:          master
git_commits:         1b78098 Phaze-A - Force AdaInstanceNorm to float32    - Reduce NaN for Mixed Precision training. bfc8517 Bugfix - Correctly parse 'load_layers' configuration parameter
gpu_cuda:            11.4
gpu_cudnn:           No global version found. Check Conda packages for Conda cuDNN
gpu_devices:         GPU_0: NVIDIA GeForce RTX 3060
gpu_devices_active:  GPU_0
gpu_driver:          471.41
gpu_vram:            GPU_0: 12288MB
os_machine:          AMD64
os_platform:         Windows-10-10.0.19043-SP0
os_release:          10
py_command:          C:\Users\user\faceswap\faceswap.py extract -i C:/Users/user/Documents/Deep Fake/Filmes Input/Source png -o C:/Users/user/Documents/Deep Fake/Filmes Output/Teste -D s3fd -A fan -M vgg-clear -nm none -rf 0 -min 0 -l 0.4 -sz 512 -een 1 -si 0 -L INFO -gui
py_conda_version:    conda 4.10.3
py_implementation:   CPython
py_version:          3.8.11
py_virtual_env:      True
sys_cores:           16
sys_processor:       Intel64 Family 6 Model 165 Stepping 5, GenuineIntel
sys_ram:             Total: 16297MB, Available: 8207MB, Used: 8089MB, Free: 8207MB

=============== Pip Packages ===============
absl-py @ file:///C:/ci/absl-py_1623867339542/work
aiohttp @ file:///C:/ci/aiohttp_1614361024229/work
astor==0.8.1
astunparse==1.6.3
async-timeout==3.0.1
attrs @ file:///tmp/build/80754af9/attrs_1620827162558/work
blinker==1.4
brotlipy==0.7.0
cachetools @ file:///tmp/build/80754af9/cachetools_1619597386817/work
certifi==2021.5.30
cffi @ file:///C:/ci/cffi_1625831749120/work
chardet @ file:///C:/ci/chardet_1605303225733/work
click @ file:///tmp/build/80754af9/click_1621604852318/work
coverage @ file:///C:/ci/coverage_1614615074147/work
cryptography @ file:///C:/ci/cryptography_1616769344312/work
cycler==0.10.0
Cython @ file:///C:/ci/cython_1626257071357/work
fastcluster==1.1.26
ffmpy==0.2.3
gast @ file:///tmp/build/80754af9/gast_1597433534803/work
google-auth @ file:///tmp/build/80754af9/google-auth_1626320605116/work
google-auth-oauthlib @ file:///tmp/build/80754af9/google-auth-oauthlib_1617120569401/work
google-pasta==0.2.0
grpcio @ file:///C:/ci/grpcio_1614884412260/work
h5py==2.10.0
idna @ file:///home/linux1/recipes/ci/idna_1610986105248/work
imageio @ file:///tmp/build/80754af9/imageio_1617700267927/work
imageio-ffmpeg @ file:///home/conda/feedstock_root/build_artifacts/imageio-ffmpeg_1621542018480/work
importlib-metadata @ file:///C:/ci/importlib-metadata_1617877484576/work
joblib @ file:///tmp/build/80754af9/joblib_1613502643832/work
Keras-Applications @ file:///tmp/build/80754af9/keras-applications_1594366238411/work
Keras-Preprocessing @ file:///tmp/build/80754af9/keras-preprocessing_1612283640596/work
kiwisolver @ file:///C:/ci/kiwisolver_1612282606037/work
Markdown @ file:///C:/ci/markdown_1614364121613/work
matplotlib @ file:///C:/ci/matplotlib-base_1592837548929/work
mkl-fft==1.3.0
mkl-random==1.1.1
mkl-service==2.3.0
multidict @ file:///C:/ci/multidict_1607362065515/work
numpy @ file:///C:/ci/numpy_and_numpy_base_1603466732592/work
nvidia-ml-py3 @ git+https://github.com/deepfakes/nvidia-ml-py3.git@6fc29ac84b32bad877f078cb4a777c1548a00bf6
oauthlib @ file:///tmp/build/80754af9/oauthlib_1623060228408/work
olefile==0.46
opencv-python==4.5.3.56
opt-einsum @ file:///tmp/build/80754af9/opt_einsum_1621500238896/work
pathlib==1.0.1
Pillow @ file:///C:/ci/pillow_1625663293593/work
protobuf==3.17.2
psutil @ file:///C:/ci/psutil_1612298324802/work
pyasn1==0.4.8
pyasn1-modules==0.2.8
pycparser @ file:///tmp/build/80754af9/pycparser_1594388511720/work
PyJWT @ file:///C:/ci/pyjwt_1619651841937/work
pyOpenSSL @ file:///tmp/build/80754af9/pyopenssl_1608057966937/work
pyparsing @ file:///home/linux1/recipes/ci/pyparsing_1610983426697/work
pyreadline==2.1
PySocks @ file:///C:/ci/pysocks_1605287845585/work
python-dateutil @ file:///tmp/build/80754af9/python-dateutil_1626374649649/work
pywin32==228
requests @ file:///tmp/build/80754af9/requests_1608241421344/work
requests-oauthlib==1.3.0
rsa @ file:///tmp/build/80754af9/rsa_1614366226499/work
scikit-learn @ file:///C:/ci/scikit-learn_1622739500535/work
scipy @ file:///C:/ci/scipy_1616703433439/work
sip==4.19.13
six @ file:///tmp/build/80754af9/six_1623709665295/work
tensorboard @ file:///home/builder/ktietz/aggregate/tensorflow_recipes/ci_te/tensorboard_1614593728657/work/tmp_pip_dir
tensorboard-plugin-wit==1.6.0
tensorflow==2.3.0
tensorflow-estimator @ file:///home/builder/ktietz/aggregate/tensorflow_recipes/ci_baze37/tensorflow-estimator_1622026529081/work/tensorflow_estimator-2.5.0-py2.py3-none-any.whl
termcolor==1.1.0
threadpoolctl @ file:///tmp/build/80754af9/threadpoolctl_1626115094421/work
tornado @ file:///C:/ci/tornado_1606942392901/work
tqdm @ file:///tmp/build/80754af9/tqdm_1625563689033/work
typing-extensions @ file:///tmp/build/80754af9/typing_extensions_1624965014186/work
urllib3 @ file:///tmp/build/80754af9/urllib3_1625084269274/work
Werkzeug @ file:///home/ktietz/src/ci/werkzeug_1611932622770/work
win-inet-pton @ file:///C:/ci/win_inet_pton_1605306167264/work
wincertstore==0.2
wrapt==1.12.1
yarl @ file:///C:/ci/yarl_1606940076464/work
zipp @ file:///tmp/build/80754af9/zipp_1625570634446/work

============== Conda Packages ==============
# packages in environment at C:\Users\user\MiniConda3\envs\faceswap:
#
# Name                    Version                   Build  Channel
_tflow_select             2.3.0                       gpu  
absl-py 0.13.0 py38haa95532_0
aiohttp 3.7.4 py38h2bbff1b_1
astor 0.8.1 py38haa95532_0
astunparse 1.6.3 py_0
async-timeout 3.0.1 py38haa95532_0
attrs 21.2.0 pyhd3eb1b0_0
blas 1.0 mkl
blinker 1.4 py38haa95532_0
brotlipy 0.7.0 py38h2bbff1b_1003
ca-certificates 2021.7.5 haa95532_1
cachetools 4.2.2 pyhd3eb1b0_0
certifi 2021.5.30 py38haa95532_0
cffi 1.14.6 py38h2bbff1b_0
chardet 3.0.4 py38haa95532_1003
click 8.0.1 pyhd3eb1b0_0
coverage 5.5 py38h2bbff1b_2
cryptography 3.4.7 py38h71e12ea_0
cudatoolkit 10.1.243 h74a9793_0
cudnn 7.6.5 cuda10.1_0
cycler 0.10.0 py38_0
cython 0.29.24 py38hd77b12b_0
fastcluster 1.1.26 py38h251f6bf_2 conda-forge ffmpeg 4.3.1 ha925a31_0 conda-forge ffmpy 0.2.3 pypi_0 pypi freetype 2.10.4 hd328e21_0
gast 0.4.0 py_0
git 2.23.0 h6bb4b03_0
google-auth 1.33.0 pyhd3eb1b0_0
google-auth-oauthlib 0.4.4 pyhd3eb1b0_0
google-pasta 0.2.0 py_0
grpcio 1.36.1 py38hc60d5dd_1
h5py 2.10.0 py38h5e291fa_0
hdf5 1.10.4 h7ebc959_0
icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha925a31_3
idna 2.10 pyhd3eb1b0_0
imageio 2.9.0 pyhd3eb1b0_0
imageio-ffmpeg 0.4.4 pyhd8ed1ab_0 conda-forge importlib-metadata 3.10.0 py38haa95532_0
intel-openmp 2021.3.0 haa95532_3372
joblib 1.0.1 pyhd3eb1b0_0
jpeg 9b hb83a4c4_2
keras-applications 1.0.8 py_1
keras-preprocessing 1.1.2 pyhd3eb1b0_0
kiwisolver 1.3.1 py38hd77b12b_0
libpng 1.6.37 h2a8f88b_0
libprotobuf 3.17.2 h23ce68f_1
libtiff 4.2.0 hd0e1b90_0
lz4-c 1.9.3 h2bbff1b_0
markdown 3.3.4 py38haa95532_0
matplotlib 3.2.2 0
matplotlib-base 3.2.2 py38h64f37c6_0
mkl 2020.2 256
mkl-service 2.3.0 py38h196d8e1_0
mkl_fft 1.3.0 py38h46781fe_0
mkl_random 1.1.1 py38h47e9c7a_0
multidict 5.1.0 py38h2bbff1b_2
numpy 1.19.2 py38hadc3359_0
numpy-base 1.19.2 py38ha3acd2a_0
nvidia-ml-py3 7.352.1 pypi_0 pypi oauthlib 3.1.1 pyhd3eb1b0_0
olefile 0.46 py_0
opencv-python 4.5.3.56 pypi_0 pypi openssl 1.1.1k h2bbff1b_0
opt_einsum 3.3.0 pyhd3eb1b0_1
pathlib 1.0.1 py_1
pillow 8.3.1 py38h4fa10fc_0
pip 21.1.3 py38haa95532_0
protobuf 3.17.2 py38hd77b12b_0
psutil 5.8.0 py38h2bbff1b_1
pyasn1 0.4.8 py_0
pyasn1-modules 0.2.8 py_0
pycparser 2.20 py_2
pyjwt 2.1.0 py38haa95532_0
pyopenssl 20.0.1 pyhd3eb1b0_1
pyparsing 2.4.7 pyhd3eb1b0_0
pyqt 5.9.2 py38ha925a31_4
pyreadline 2.1 py38_1
pysocks 1.7.1 py38haa95532_0
python 3.8.11 h6244533_0_cpython
python-dateutil 2.8.2 pyhd3eb1b0_0
python_abi 3.8 2_cp38 conda-forge pywin32 228 py38hbaba5e8_1
qt 5.9.7 vc14h73c81de_0
requests 2.25.1 pyhd3eb1b0_0
requests-oauthlib 1.3.0 py_0
rsa 4.7.2 pyhd3eb1b0_1
scikit-learn 0.24.2 py38hf11a4ad_1
scipy 1.6.2 py38h14eb087_0
setuptools 52.0.0 py38haa95532_0
sip 4.19.13 py38ha925a31_0
six 1.16.0 pyhd3eb1b0_0
sqlite 3.36.0 h2bbff1b_0
tensorboard 2.4.0 pyhc547734_0
tensorboard-plugin-wit 1.6.0 py_0
tensorflow 2.3.0 mkl_py38h1fcfbd6_0
tensorflow-base 2.3.0 gpu_py38h7339f5a_0
tensorflow-estimator 2.5.0 pyh7b7c402_0
tensorflow-gpu 2.3.0 he13fc11_0
termcolor 1.1.0 py38haa95532_1
threadpoolctl 2.2.0 pyhb85f177_0
tk 8.6.10 he774522_0
tornado 6.1 py38h2bbff1b_0
tqdm 4.61.2 pyhd3eb1b0_1
typing-extensions 3.10.0.0 hd3eb1b0_0
typing_extensions 3.10.0.0 pyh06a4308_0
urllib3 1.26.6 pyhd3eb1b0_1
vc 14.2 h21ff451_1
vs2015_runtime 14.27.29016 h5e58377_2
werkzeug 1.0.1 pyhd3eb1b0_0
wheel 0.36.2 pyhd3eb1b0_0
win_inet_pton 1.1.0 py38haa95532_0
wincertstore 0.2 py38_0
wrapt 1.12.1 py38he774522_1
xz 5.2.5 h62dcd97_0
yarl 1.6.3 py38h2bbff1b_0
zipp 3.5.0 pyhd3eb1b0_0
zlib 1.2.11 h62dcd97_4
zstd 1.4.9 h19a0ad4_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: normalized kernel_size: 3 passes: 4 threshold: 4 erosion: 0.0 [scaling.sharpen] method: none amount: 150 radius: 0.3 threshold: 5.0 [writer.ffmpeg] container: mp4 codec: libx264 crf: 23 preset: medium tune: none profile: auto level: auto skip_mux: False [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 scalefactor: 0.709 batch-size: 8 threshold_1: 0.6 threshold_2: 0.7 threshold_3: 0.7 [detect.s3fd] confidence: 70 batch-size: 4 [mask.bisenet_fp] batch-size: 8 include_ears: False include_hair: False include_glasses: True [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] centering: face coverage: 68.75 icnr_init: False conv_aware_init: False optimizer: adam learning_rate: 5e-05 epsilon_exponent: -7 reflect_padding: False allow_growth: False mixed_precision: False nan_protection: True convert_batchsize: 16 [global.loss] loss_function: ssim mask_loss_function: mse l2_reg_term: 100 eye_multiplier: 3 mouth_multiplier: 2 penalized_mask_loss: True mask_type: extended mask_blur_kernel: 3 mask_threshold: 4 learn_mask: False [model.dfaker] output_size: 128 [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.phaze_a] output_size: 128 shared_fc: none enable_gblock: True split_fc: True split_gblock: False split_decoders: False enc_architecture: fs_original enc_scaling: 40 enc_load_weights: True bottleneck_type: dense bottleneck_norm: none bottleneck_size: 1024 bottleneck_in_encoder: True fc_depth: 1 fc_min_filters: 1024 fc_max_filters: 1024 fc_dimensions: 4 fc_filter_slope: -0.5 fc_dropout: 0.0 fc_upsampler: upsample2d fc_upsamples: 1 fc_upsample_filters: 512 fc_gblock_depth: 3 fc_gblock_min_nodes: 512 fc_gblock_max_nodes: 512 fc_gblock_filter_slope: -0.5 fc_gblock_dropout: 0.0 dec_upscale_method: subpixel dec_norm: none dec_min_filters: 64 dec_max_filters: 512 dec_filter_slope: -0.45 dec_res_blocks: 1 dec_output_kernel: 5 dec_gaussian: True dec_skip_last_residual: True freeze_layers: keras_encoder load_layers: encoder fs_original_depth: 4 fs_original_min_filters: 128 fs_original_max_filters: 1024 mobilenet_width: 1.0 mobilenet_depth: 1 mobilenet_dropout: 0.001 [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

Based on similar posts I searched here, I tried to circunvent the error, first shortening the movie, then cropping if to focus on the face, then transforming it in a set of png images... nothing seems to work.

Any hint? Thanks in advance.

User avatar
torzdf
Posts: 2649
Joined: Fri Jul 12, 2019 12:53 am
Answers: 159
Has thanked: 128 times
Been thanked: 622 times

Re: Could not broadcast input array from shape

Post by torzdf »

This is a bug which should have been squashed a long time ago, so I can only assume there is some edge case where this still occurs.

Unfortunately I would only be able to diagnose by recreating the issue. If you are able to share the source you are extracting from, I can try to fix, otherwise there isn't a lot I can do.

My word is final

User avatar
MarcusAgrippa
Posts: 7
Joined: Tue Aug 03, 2021 5:21 pm

Re: Could not broadcast input array from shape

Post by MarcusAgrippa »

Thanks for the quick response.

Since there is no option for file uploading here, which is the best way to submit the source?

User avatar
torzdf
Posts: 2649
Joined: Fri Jul 12, 2019 12:53 am
Answers: 159
Has thanked: 128 times
Been thanked: 622 times

Re: Could not broadcast input array from shape

Post by torzdf »

You can just put it onto something like WeTransfer/GDrive/OneDrive and PM me the link

My word is final

User avatar
MarcusAgrippa
Posts: 7
Joined: Tue Aug 03, 2021 5:21 pm

Re: Could not broadcast input array from shape

Post by MarcusAgrippa »

Just did.

Thank you again.

User avatar
MarcusAgrippa
Posts: 7
Joined: Tue Aug 03, 2021 5:21 pm

Re: Could not broadcast input array from shape

Post by MarcusAgrippa »

Just wonder if you had the time to check the Goggle Drive folder whose link I have sent through PM.

I would appreciate any comments, even if not yet definitive.

User avatar
torzdf
Posts: 2649
Joined: Fri Jul 12, 2019 12:53 am
Answers: 159
Has thanked: 128 times
Been thanked: 622 times

Re: Could not broadcast input array from shape

Post by torzdf »

Ok, this issue looks specific to 30xx cards....

I am pretty sure the version of Cuda/cuDNN is not correct for the version of Tensorflow you have installed. You'll need to fix that up and see if it works. Ultimately, these kind of mismatches can manifest themselves in strange ways, as you are discovering. In the first instance, fix up you Cuda/cuDNN installs to exactly match the versions that Tensorflow was built with.

Ultimately, I have been able to successfully extract from both your video file and your image folder. I will PM you the alignments file generated as I happen to have it.

My word is final

User avatar
MarcusAgrippa
Posts: 7
Joined: Tue Aug 03, 2021 5:21 pm

Re: Could not broadcast input array from shape

Post by MarcusAgrippa »

Thanks for the hint. I will try to fix it and feedback it here.

And thanks for the alignments file.

User avatar
MarcusAgrippa
Posts: 7
Joined: Tue Aug 03, 2021 5:21 pm

Re: Could not broadcast input array from shape

Post by MarcusAgrippa »

Coming back after following your previous instructions, but still finding errors in the extraction phase.

I did have some compatibility issues and reinstalled Cuda/cuDNN to match Tensorflow version. I have Tensorflow 2.3.0 and, according to their website (https://www.tensorflow.org/install/sour ... igurations), should have cuDNN 7.6 and cuda 10.1.

This is my previous and current situation:

----TFlow | Python |-- cuDNN | CUDA
Prev: 2.3.0 | --3.8.11 | NoFound | 11.4
Now: 2.3.0 | --3.8.11 |----7.6.5 | 10.1

I don't know if it is an issue (but think it is worth mentioning that) I have cuDNN files in two folders:
C:\Users\user\MiniConda3\envs\faceswap\Library
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1

Both have the same versions of bin\cudnn64_7.dll, include\cudnn.h and lib\x64\cudnn.lib

Despite (aparently) no compatibility problems, I still couldn't finish extraction. Here the crash report:

Code: Select all

08/21/2021 15:56:40 MainProcess     MainThread                     session         load_model                     VERBOSE  Initializing plugin model: FAN
08/21/2021 16:11:43 MainProcess     detect_s3fd_output_0           multithreading  run                            DEBUG    Error in thread (detect_s3fd_output_0): cannot convert float NaN to integer
08/21/2021 16:11:51 MainProcess     MainThread                     _base           initialize                     INFO     Initialized FAN (Align) with batchsize of 12
08/21/2021 16:11:51 MainProcess     MainThread                     multithreading  start                          DEBUG    Starting thread(s): 'align_fan_input'
08/21/2021 16:11:51 MainProcess     MainThread                     multithreading  start                          DEBUG    Starting thread 1 of 1: 'align_fan_input_0'
08/21/2021 16:11:51 MainProcess     align_fan_input_0              _base           _thread_process                DEBUG    threading: (function: '_process_input')
08/21/2021 16:11:51 MainProcess     MainThread                     multithreading  start                          DEBUG    Started all threads 'align_fan_input': 1
08/21/2021 16:11:51 MainProcess     MainThread                     multithreading  start                          DEBUG    Starting thread(s): 'align_fan_predict'
08/21/2021 16:11:51 MainProcess     MainThread                     multithreading  start                          DEBUG    Starting thread 1 of 1: 'align_fan_predict_0'
08/21/2021 16:11:51 MainProcess     align_fan_predict_0            _base           _thread_process                DEBUG    threading: (function: '_predict')
08/21/2021 16:11:51 MainProcess     MainThread                     multithreading  start                          DEBUG    Started all threads 'align_fan_predict': 1
08/21/2021 16:11:51 MainProcess     MainThread                     multithreading  start                          DEBUG    Starting thread(s): 'align_fan_output'
08/21/2021 16:11:51 MainProcess     MainThread                     multithreading  start                          DEBUG    Starting thread 1 of 1: 'align_fan_output_0'
08/21/2021 16:11:51 MainProcess     align_fan_output_0             _base           _thread_process                DEBUG    threading: (function: '_process_output')
08/21/2021 16:11:51 MainProcess     MainThread                     multithreading  start                          DEBUG    Started all threads 'align_fan_output': 1
08/21/2021 16:11:51 MainProcess     MainThread                     pipeline        _launch_plugin                 DEBUG    Launched align plugin
08/21/2021 16:11:51 MainProcess     MainThread                     pipeline        _launch_plugin                 DEBUG    Launching mask_0 plugin
08/21/2021 16:11:51 MainProcess     MainThread                     pipeline        _launch_plugin                 DEBUG    in_qname: extract0_mask_0_in, out_qname: extract0_mask_1_in
08/21/2021 16:11:51 MainProcess     MainThread                     _base           initialize                     DEBUG    initialize Mask: (args: (), kwargs: {'in_queue': <queue.Queue object at 0x0000027DA6388880>, 'out_queue': <queue.Queue object at 0x0000027DA6388700>})
08/21/2021 16:11:51 MainProcess     MainThread                     _base           initialize                     INFO     Initializing Components (Mask)...
08/21/2021 16:11:51 MainProcess     MainThread                     queue_manager   get_queue                      DEBUG    QueueManager getting: 'mask0_predict_components'
08/21/2021 16:11:51 MainProcess     MainThread                     queue_manager   add_queue                      DEBUG    QueueManager adding: (name: 'mask0_predict_components', maxsize: 1, create_new: False)
08/21/2021 16:11:51 MainProcess     MainThread                     queue_manager   add_queue                      DEBUG    QueueManager added: (name: 'mask0_predict_components')
08/21/2021 16:11:51 MainProcess     MainThread                     queue_manager   get_queue                      DEBUG    QueueManager got: 'mask0_predict_components'
08/21/2021 16:11:51 MainProcess     MainThread                     queue_manager   get_queue                      DEBUG    QueueManager getting: 'mask0_post_components'
08/21/2021 16:11:51 MainProcess     MainThread                     queue_manager   add_queue                      DEBUG    QueueManager adding: (name: 'mask0_post_components', maxsize: 1, create_new: False)
08/21/2021 16:11:51 MainProcess     MainThread                     queue_manager   add_queue                      DEBUG    QueueManager added: (name: 'mask0_post_components')
08/21/2021 16:11:51 MainProcess     MainThread                     queue_manager   get_queue                      DEBUG    QueueManager got: 'mask0_post_components'
08/21/2021 16:11:51 MainProcess     MainThread                     _base           _compile_threads               DEBUG    Compiling mask threads
08/21/2021 16:11:51 MainProcess     MainThread                     _base           _add_thread                    DEBUG    Adding thread: (name: mask_components_input, function: <bound method Extractor._process_input of <plugins.extract.mask.components.Mask object at 0x0000027DA61EF820>>, in_queue: <queue.Queue object at 0x0000027DA6388880>, out_queue: <queue.Queue object at 0x00000280E3BCAE20>)
08/21/2021 16:11:51 MainProcess     MainThread                     multithreading  __init__                       DEBUG    Initializing MultiThread: (target: 'mask_components_input', thread_count: 1)
08/21/2021 16:11:51 MainProcess     MainThread                     multithreading  __init__                       DEBUG    Initialized MultiThread: 'mask_components_input'
08/21/2021 16:11:51 MainProcess     MainThread                     _base           _add_thread                    DEBUG    Added thread: mask_components_input
08/21/2021 16:11:51 MainProcess     MainThread                     _base           _add_thread                    DEBUG    Adding thread: (name: mask_components_predict, function: <bound method Masker._predict of <plugins.extract.mask.components.Mask object at 0x0000027DA61EF820>>, in_queue: <queue.Queue object at 0x00000280E3BCAE20>, out_queue: <queue.Queue object at 0x00000280E3BD3040>)
08/21/2021 16:11:51 MainProcess     MainThread                     multithreading  __init__                       DEBUG    Initializing MultiThread: (target: 'mask_components_predict', thread_count: 1)
08/21/2021 16:11:51 MainProcess     MainThread                     multithreading  __init__                       DEBUG    Initialized MultiThread: 'mask_components_predict'
08/21/2021 16:11:51 MainProcess     MainThread                     _base           _add_thread                    DEBUG    Added thread: mask_components_predict
08/21/2021 16:11:51 MainProcess     MainThread                     _base           _add_thread                    DEBUG    Adding thread: (name: mask_components_output, function: <bound method Extractor._process_output of <plugins.extract.mask.components.Mask object at 0x0000027DA61EF820>>, in_queue: <queue.Queue object at 0x00000280E3BD3040>, out_queue: <queue.Queue object at 0x0000027DA6388700>)
08/21/2021 16:11:51 MainProcess     MainThread                     multithreading  __init__                       DEBUG    Initializing MultiThread: (target: 'mask_components_output', thread_count: 1)
08/21/2021 16:11:51 MainProcess     MainThread                     multithreading  __init__                       DEBUG    Initialized MultiThread: 'mask_components_output'
08/21/2021 16:11:51 MainProcess     MainThread                     _base           _add_thread                    DEBUG    Added thread: mask_components_output
08/21/2021 16:11:51 MainProcess     MainThread                     _base           _compile_threads               DEBUG    Compiled mask threads: [<lib.multithreading.MultiThread object at 0x0000027DB7E6B100>, <lib.multithreading.MultiThread object at 0x00000280E3BD31C0>, <lib.multithreading.MultiThread object at 0x00000280E3BD31F0>]
08/21/2021 16:11:51 MainProcess     MainThread                     components      init_model                     DEBUG    No mask model to initialize
08/21/2021 16:11:51 MainProcess     MainThread                     _base           initialize                     INFO     Initialized Components (Mask) with batchsize of 1
08/21/2021 16:11:51 MainProcess     MainThread                     multithreading  start                          DEBUG    Starting thread(s): 'mask_components_input'
08/21/2021 16:11:51 MainProcess     MainThread                     multithreading  start                          DEBUG    Starting thread 1 of 1: 'mask_components_input_0'
08/21/2021 16:11:51 MainProcess     mask_components_input_0        _base           _thread_process                DEBUG    threading: (function: '_process_input')
08/21/2021 16:11:51 MainProcess     MainThread                     multithreading  start                          DEBUG    Started all threads 'mask_components_input': 1
08/21/2021 16:11:51 MainProcess     MainThread                     multithreading  start                          DEBUG    Starting thread(s): 'mask_components_predict'
08/21/2021 16:11:51 MainProcess     MainThread                     multithreading  start                          DEBUG    Starting thread 1 of 1: 'mask_components_predict_0'
08/21/2021 16:11:51 MainProcess     mask_components_predict_0      _base           _thread_process                DEBUG    threading: (function: '_predict')
08/21/2021 16:11:51 MainProcess     MainThread                     multithreading  start                          DEBUG    Started all threads 'mask_components_predict': 1
08/21/2021 16:11:51 MainProcess     MainThread                     multithreading  start                          DEBUG    Starting thread(s): 'mask_components_output'
08/21/2021 16:11:51 MainProcess     MainThread                     multithreading  start                          DEBUG    Starting thread 1 of 1: 'mask_components_output_0'
08/21/2021 16:11:51 MainProcess     mask_components_output_0       _base           _thread_process                DEBUG    threading: (function: '_process_output')
08/21/2021 16:11:51 MainProcess     MainThread                     multithreading  start                          DEBUG    Started all threads 'mask_components_output': 1
08/21/2021 16:11:51 MainProcess     MainThread                     pipeline        _launch_plugin                 DEBUG    Launched mask_0 plugin
08/21/2021 16:11:51 MainProcess     MainThread                     pipeline        _launch_plugin                 DEBUG    Launching mask_1 plugin
08/21/2021 16:11:51 MainProcess     MainThread                     pipeline        _launch_plugin                 DEBUG    in_qname: extract0_mask_1_in, out_qname: extract0_mask_1_out
08/21/2021 16:11:51 MainProcess     MainThread                     _base           initialize                     DEBUG    initialize Mask: (args: (), kwargs: {'in_queue': <queue.Queue object at 0x0000027DA6388700>, 'out_queue': <queue.Queue object at 0x0000027DA6388100>})
08/21/2021 16:11:51 MainProcess     MainThread                     _base           initialize                     INFO     Initializing Extended (Mask)...
08/21/2021 16:11:51 MainProcess     MainThread                     queue_manager   get_queue                      DEBUG    QueueManager getting: 'mask0_predict_extended'
08/21/2021 16:11:51 MainProcess     MainThread                     queue_manager   add_queue                      DEBUG    QueueManager adding: (name: 'mask0_predict_extended', maxsize: 1, create_new: False)
08/21/2021 16:11:51 MainProcess     MainThread                     queue_manager   add_queue                      DEBUG    QueueManager added: (name: 'mask0_predict_extended')
08/21/2021 16:11:51 MainProcess     MainThread                     queue_manager   get_queue                      DEBUG    QueueManager got: 'mask0_predict_extended'
08/21/2021 16:11:51 MainProcess     MainThread                     queue_manager   get_queue                      DEBUG    QueueManager getting: 'mask0_post_extended'
08/21/2021 16:11:51 MainProcess     MainThread                     queue_manager   add_queue                      DEBUG    QueueManager adding: (name: 'mask0_post_extended', maxsize: 1, create_new: False)
08/21/2021 16:11:51 MainProcess     MainThread                     queue_manager   add_queue                      DEBUG    QueueManager added: (name: 'mask0_post_extended')
08/21/2021 16:11:51 MainProcess     MainThread                     queue_manager   get_queue                      DEBUG    QueueManager got: 'mask0_post_extended'
08/21/2021 16:11:51 MainProcess     MainThread                     _base           _compile_threads               DEBUG    Compiling mask threads
08/21/2021 16:11:51 MainProcess     MainThread                     _base           _add_thread                    DEBUG    Adding thread: (name: mask_extended_input, function: <bound method Extractor._process_input of <plugins.extract.mask.extended.Mask object at 0x0000027DA61EF880>>, in_queue: <queue.Queue object at 0x0000027DA6388700>, out_queue: <queue.Queue object at 0x00000280E3BD39D0>)
08/21/2021 16:11:51 MainProcess     MainThread                     multithreading  __init__                       DEBUG    Initializing MultiThread: (target: 'mask_extended_input', thread_count: 1)
08/21/2021 16:11:51 MainProcess     MainThread                     multithreading  __init__                       DEBUG    Initialized MultiThread: 'mask_extended_input'
08/21/2021 16:11:51 MainProcess     MainThread                     _base           _add_thread                    DEBUG    Added thread: mask_extended_input
08/21/2021 16:11:51 MainProcess     MainThread                     _base           _add_thread                    DEBUG    Adding thread: (name: mask_extended_predict, function: <bound method Masker._predict of <plugins.extract.mask.extended.Mask object at 0x0000027DA61EF880>>, in_queue: <queue.Queue object at 0x00000280E3BD39D0>, out_queue: <queue.Queue object at 0x00000280E3BD3BB0>)
08/21/2021 16:11:51 MainProcess     MainThread                     multithreading  __init__                       DEBUG    Initializing MultiThread: (target: 'mask_extended_predict', thread_count: 1)
08/21/2021 16:11:51 MainProcess     MainThread                     multithreading  __init__                       DEBUG    Initialized MultiThread: 'mask_extended_predict'
08/21/2021 16:11:51 MainProcess     MainThread                     _base           _add_thread                    DEBUG    Added thread: mask_extended_predict
08/21/2021 16:11:51 MainProcess     MainThread                     _base           _add_thread                    DEBUG    Adding thread: (name: mask_extended_output, function: <bound method Extractor._process_output of <plugins.extract.mask.extended.Mask object at 0x0000027DA61EF880>>, in_queue: <queue.Queue object at 0x00000280E3BD3BB0>, out_queue: <queue.Queue object at 0x0000027DA6388100>)
08/21/2021 16:11:51 MainProcess     MainThread                     multithreading  __init__                       DEBUG    Initializing MultiThread: (target: 'mask_extended_output', thread_count: 1)
08/21/2021 16:11:51 MainProcess     MainThread                     multithreading  __init__                       DEBUG    Initialized MultiThread: 'mask_extended_output'
08/21/2021 16:11:51 MainProcess     MainThread                     _base           _add_thread                    DEBUG    Added thread: mask_extended_output
08/21/2021 16:11:51 MainProcess     MainThread                     _base           _compile_threads               DEBUG    Compiled mask threads: [<lib.multithreading.MultiThread object at 0x00000280E3BD3220>, <lib.multithreading.MultiThread object at 0x00000280E3BD3D30>, <lib.multithreading.MultiThread object at 0x00000280E3BD3D60>]
08/21/2021 16:11:51 MainProcess     MainThread                     extended        init_model                     DEBUG    No mask model to initialize
08/21/2021 16:11:51 MainProcess     MainThread                     _base           initialize                     INFO     Initialized Extended (Mask) with batchsize of 1
08/21/2021 16:11:51 MainProcess     MainThread                     multithreading  start                          DEBUG    Starting thread(s): 'mask_extended_input'
08/21/2021 16:11:51 MainProcess     MainThread                     multithreading  start                          DEBUG    Starting thread 1 of 1: 'mask_extended_input_0'
08/21/2021 16:11:51 MainProcess     mask_extended_input_0          _base           _thread_process                DEBUG    threading: (function: '_process_input')
08/21/2021 16:11:51 MainProcess     MainThread                     multithreading  start                          DEBUG    Started all threads 'mask_extended_input': 1
08/21/2021 16:11:51 MainProcess     MainThread                     multithreading  start                          DEBUG    Starting thread(s): 'mask_extended_predict'
08/21/2021 16:11:51 MainProcess     MainThread                     multithreading  start                          DEBUG    Starting thread 1 of 1: 'mask_extended_predict_0'
08/21/2021 16:11:51 MainProcess     mask_extended_predict_0        _base           _thread_process                DEBUG    threading: (function: '_predict')
08/21/2021 16:11:51 MainProcess     MainThread                     multithreading  start                          DEBUG    Started all threads 'mask_extended_predict': 1
08/21/2021 16:11:51 MainProcess     MainThread                     multithreading  start                          DEBUG    Starting thread(s): 'mask_extended_output'
08/21/2021 16:11:51 MainProcess     MainThread                     multithreading  start                          DEBUG    Starting thread 1 of 1: 'mask_extended_output_0'
08/21/2021 16:11:51 MainProcess     mask_extended_output_0         _base           _thread_process                DEBUG    threading: (function: '_process_output')
08/21/2021 16:11:51 MainProcess     MainThread                     multithreading  start                          DEBUG    Started all threads 'mask_extended_output': 1
08/21/2021 16:11:51 MainProcess     MainThread                     pipeline        _launch_plugin                 DEBUG    Launched mask_1 plugin
08/21/2021 16:11:51 MainProcess     MainThread                     pipeline        detected_faces                 DEBUG    Running Detection. Phase: '['detect', 'align', 'mask_0', 'mask_1']'
08/21/2021 16:11:51 MainProcess     MainThread                     multithreading  check_and_raise_error          DEBUG    Thread error caught: [(<class 'ValueError'>, ValueError('cannot convert float NaN to integer'), <traceback object at 0x0000027DADFB0AC0>)]
Traceback (most recent call last):
  File "C:\Users\user\faceswap\lib\cli\launcher.py", line 182, in execute_script
    process.process()
  File "C:\Users\user\faceswap\scripts\extract.py", line 119, in process
    self._run_extraction()
  File "C:\Users\user\faceswap\scripts\extract.py", line 216, in _run_extraction
    for idx, extract_media in enumerate(status_bar):
  File "C:\Users\user\MiniConda3\envs\faceswap\lib\site-packages\tqdm\std.py", line 1185, in __iter__
    for obj in iterable:
  File "C:\Users\user\faceswap\plugins\extract\pipeline.py", line 239, in detected_faces
    if self._check_and_raise_error():
  File "C:\Users\user\faceswap\plugins\extract\pipeline.py", line 662, in _check_and_raise_error
    if plugin.check_and_raise_error():
  File "C:\Users\user\faceswap\plugins\extract\_base.py", line 347, in check_and_raise_error
    err = thread.check_and_raise_error()
  File "C:\Users\user\faceswap\lib\multithreading.py", line 84, in check_and_raise_error
    raise error[1].with_traceback(error[2])
  File "C:\Users\user\faceswap\lib\multithreading.py", line 37, in run
    self._target(*self._args, **self._kwargs)
  File "C:\Users\user\faceswap\plugins\extract\_base.py", line 480, in _thread_process
    for item in self.finalize(batch):
  File "C:\Users\user\faceswap\plugins\extract\detect\_base.py", line 160, in finalize
    batch_faces = [[self.to_detected_face(face[0], face[1], face[2], face[3])
  File "C:\Users\user\faceswap\plugins\extract\detect\_base.py", line 160, in <listcomp>
    batch_faces = [[self.to_detected_face(face[0], face[1], face[2], face[3])
  File "C:\Users\user\faceswap\plugins\extract\detect\_base.py", line 160, in <listcomp>
    batch_faces = [[self.to_detected_face(face[0], face[1], face[2], face[3])
  File "C:\Users\user\faceswap\plugins\extract\detect\_base.py", line 197, in to_detected_face
    return DetectedFace(x=int(round(left)),
ValueError: cannot convert float NaN to integer

============ System Information ============
encoding:            cp1252
git_branch:          master
git_commits:         1b78098 Phaze-A - Force AdaInstanceNorm to float32    - Reduce NaN for Mixed Precision training. bfc8517 Bugfix - Correctly parse 'load_layers' configuration parameter
gpu_cuda:            10.1
gpu_cudnn:           7.6.5
gpu_devices:         GPU_0: NVIDIA GeForce RTX 3060
gpu_devices_active:  GPU_0
gpu_driver:          471.41
gpu_vram:            GPU_0: 12288MB
os_machine:          AMD64
os_platform:         Windows-10-10.0.19043-SP0
os_release:          10
py_command:          C:\Users\user\faceswap\faceswap.py extract -i C:/Users/user/Documents/Deep Fake/Filmes Input/Source png -o C:/Users/user/Documents/Deep Fake/Filmes Output/Teste -D s3fd -A fan -nm none -rf 0 -min 0 -l 0.4 -sz 512 -een 1 -si 0 -L INFO -gui
py_conda_version:    conda 4.10.3
py_implementation:   CPython
py_version:          3.8.11
py_virtual_env:      True
sys_cores:           16
sys_processor:       Intel64 Family 6 Model 165 Stepping 5, GenuineIntel
sys_ram:             Total: 16297MB, Available: 9713MB, Used: 6584MB, Free: 9713MB

=============== Pip Packages ===============
absl-py @ file:///C:/ci/absl-py_1623867339542/work
aiohttp @ file:///C:/ci/aiohttp_1614361024229/work
astor==0.8.1
astunparse==1.6.3
async-timeout==3.0.1
attrs @ file:///tmp/build/80754af9/attrs_1620827162558/work
blinker==1.4
brotlipy==0.7.0
cachetools @ file:///tmp/build/80754af9/cachetools_1619597386817/work
certifi==2021.5.30
cffi @ file:///C:/ci/cffi_1625831749120/work
chardet @ file:///C:/ci/chardet_1605303225733/work
click @ file:///tmp/build/80754af9/click_1621604852318/work
coverage @ file:///C:/ci/coverage_1614615074147/work
cryptography @ file:///C:/ci/cryptography_1616769344312/work
cycler==0.10.0
Cython @ file:///C:/ci/cython_1626257071357/work
fastcluster==1.1.26
ffmpy==0.2.3
gast @ file:///tmp/build/80754af9/gast_1597433534803/work
google-auth @ file:///tmp/build/80754af9/google-auth_1626320605116/work
google-auth-oauthlib @ file:///tmp/build/80754af9/google-auth-oauthlib_1617120569401/work
google-pasta==0.2.0
grpcio @ file:///C:/ci/grpcio_1614884412260/work
h5py==2.10.0
idna @ file:///home/linux1/recipes/ci/idna_1610986105248/work
imageio @ file:///tmp/build/80754af9/imageio_1617700267927/work
imageio-ffmpeg @ file:///home/conda/feedstock_root/build_artifacts/imageio-ffmpeg_1621542018480/work
importlib-metadata @ file:///C:/ci/importlib-metadata_1617877484576/work
joblib @ file:///tmp/build/80754af9/joblib_1613502643832/work
Keras-Applications @ file:///tmp/build/80754af9/keras-applications_1594366238411/work
Keras-Preprocessing @ file:///tmp/build/80754af9/keras-preprocessing_1612283640596/work
kiwisolver @ file:///C:/ci/kiwisolver_1612282606037/work
Markdown @ file:///C:/ci/markdown_1614364121613/work
matplotlib @ file:///C:/ci/matplotlib-base_1592837548929/work
mkl-fft==1.3.0
mkl-random==1.1.1
mkl-service==2.3.0
multidict @ file:///C:/ci/multidict_1607362065515/work
numpy @ file:///C:/ci/numpy_and_numpy_base_1603466732592/work
nvidia-ml-py3 @ git+https://github.com/deepfakes/nvidia-ml-py3.git@6fc29ac84b32bad877f078cb4a777c1548a00bf6
oauthlib @ file:///tmp/build/80754af9/oauthlib_1623060228408/work
olefile==0.46
opencv-python==4.5.3.56
opt-einsum @ file:///tmp/build/80754af9/opt_einsum_1621500238896/work
pathlib==1.0.1
Pillow @ file:///C:/ci/pillow_1625663293593/work
protobuf==3.17.2
psutil @ file:///C:/ci/psutil_1612298324802/work
pyasn1==0.4.8
pyasn1-modules==0.2.8
pycparser @ file:///tmp/build/80754af9/pycparser_1594388511720/work
PyJWT @ file:///C:/ci/pyjwt_1619651841937/work
pyOpenSSL @ file:///tmp/build/80754af9/pyopenssl_1608057966937/work
pyparsing @ file:///home/linux1/recipes/ci/pyparsing_1610983426697/work
pyreadline==2.1
PySocks @ file:///C:/ci/pysocks_1605287845585/work
python-dateutil @ file:///tmp/build/80754af9/python-dateutil_1626374649649/work
pywin32==228
requests @ file:///tmp/build/80754af9/requests_1608241421344/work
requests-oauthlib==1.3.0
rsa @ file:///tmp/build/80754af9/rsa_1614366226499/work
scikit-learn @ file:///C:/ci/scikit-learn_1622739500535/work
scipy @ file:///C:/ci/scipy_1616703433439/work
sip==4.19.13
six @ file:///tmp/build/80754af9/six_1623709665295/work
tensorboard @ file:///home/builder/ktietz/aggregate/tensorflow_recipes/ci_te/tensorboard_1614593728657/work/tmp_pip_dir
tensorboard-plugin-wit==1.6.0
tensorflow==2.3.0
tensorflow-estimator @ file:///home/builder/ktietz/aggregate/tensorflow_recipes/ci_baze37/tensorflow-estimator_1622026529081/work/tensorflow_estimator-2.5.0-py2.py3-none-any.whl
termcolor==1.1.0
threadpoolctl @ file:///tmp/build/80754af9/threadpoolctl_1626115094421/work
tornado @ file:///C:/ci/tornado_1606942392901/work
tqdm @ file:///tmp/build/80754af9/tqdm_1625563689033/work
typing-extensions @ file:///tmp/build/80754af9/typing_extensions_1624965014186/work
urllib3 @ file:///tmp/build/80754af9/urllib3_1625084269274/work
Werkzeug @ file:///home/ktietz/src/ci/werkzeug_1611932622770/work
win-inet-pton @ file:///C:/ci/win_inet_pton_1605306167264/work
wincertstore==0.2
wrapt==1.12.1
yarl @ file:///C:/ci/yarl_1606940076464/work
zipp @ file:///tmp/build/80754af9/zipp_1625570634446/work

============== Conda Packages ==============
# packages in environment at C:\Users\user\MiniConda3\envs\faceswap:
#
# Name                    Version                   Build  Channel
_tflow_select             2.3.0                       gpu  
absl-py 0.13.0 py38haa95532_0
aiohttp 3.7.4 py38h2bbff1b_1
astor 0.8.1 py38haa95532_0
astunparse 1.6.3 py_0
async-timeout 3.0.1 py38haa95532_0
attrs 21.2.0 pyhd3eb1b0_0
blas 1.0 mkl
blinker 1.4 py38haa95532_0
brotlipy 0.7.0 py38h2bbff1b_1003
ca-certificates 2021.7.5 haa95532_1
cachetools 4.2.2 pyhd3eb1b0_0
certifi 2021.5.30 py38haa95532_0
cffi 1.14.6 py38h2bbff1b_0
chardet 3.0.4 py38haa95532_1003
click 8.0.1 pyhd3eb1b0_0
coverage 5.5 py38h2bbff1b_2
cryptography 3.4.7 py38h71e12ea_0
cudatoolkit 10.1.243 h74a9793_0
cudnn 7.6.5 cuda10.1_0
cycler 0.10.0 py38_0
cython 0.29.24 py38hd77b12b_0
fastcluster 1.1.26 py38h251f6bf_2 conda-forge ffmpeg 4.3.1 ha925a31_0 conda-forge ffmpy 0.2.3 pypi_0 pypi freetype 2.10.4 hd328e21_0
gast 0.4.0 py_0
git 2.23.0 h6bb4b03_0
google-auth 1.33.0 pyhd3eb1b0_0
google-auth-oauthlib 0.4.4 pyhd3eb1b0_0
google-pasta 0.2.0 py_0
grpcio 1.36.1 py38hc60d5dd_1
h5py 2.10.0 py38h5e291fa_0
hdf5 1.10.4 h7ebc959_0
icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha925a31_3
idna 2.10 pyhd3eb1b0_0
imageio 2.9.0 pyhd3eb1b0_0
imageio-ffmpeg 0.4.4 pyhd8ed1ab_0 conda-forge importlib-metadata 3.10.0 py38haa95532_0
intel-openmp 2021.3.0 haa95532_3372
joblib 1.0.1 pyhd3eb1b0_0
jpeg 9b hb83a4c4_2
keras-applications 1.0.8 py_1
keras-preprocessing 1.1.2 pyhd3eb1b0_0
kiwisolver 1.3.1 py38hd77b12b_0
libpng 1.6.37 h2a8f88b_0
libprotobuf 3.17.2 h23ce68f_1
libtiff 4.2.0 hd0e1b90_0
lz4-c 1.9.3 h2bbff1b_0
markdown 3.3.4 py38haa95532_0
matplotlib 3.2.2 0
matplotlib-base 3.2.2 py38h64f37c6_0
mkl 2020.2 256
mkl-service 2.3.0 py38h196d8e1_0
mkl_fft 1.3.0 py38h46781fe_0
mkl_random 1.1.1 py38h47e9c7a_0
multidict 5.1.0 py38h2bbff1b_2
numpy 1.19.2 py38hadc3359_0
numpy-base 1.19.2 py38ha3acd2a_0
nvidia-ml-py3 7.352.1 pypi_0 pypi oauthlib 3.1.1 pyhd3eb1b0_0
olefile 0.46 py_0
opencv-python 4.5.3.56 pypi_0 pypi openssl 1.1.1k h2bbff1b_0
opt_einsum 3.3.0 pyhd3eb1b0_1
pathlib 1.0.1 py_1
pillow 8.3.1 py38h4fa10fc_0
pip 21.1.3 py38haa95532_0
protobuf 3.17.2 py38hd77b12b_0
psutil 5.8.0 py38h2bbff1b_1
pyasn1 0.4.8 py_0
pyasn1-modules 0.2.8 py_0
pycparser 2.20 py_2
pyjwt 2.1.0 py38haa95532_0
pyopenssl 20.0.1 pyhd3eb1b0_1
pyparsing 2.4.7 pyhd3eb1b0_0
pyqt 5.9.2 py38ha925a31_4
pyreadline 2.1 py38_1
pysocks 1.7.1 py38haa95532_0
python 3.8.11 h6244533_0_cpython
python-dateutil 2.8.2 pyhd3eb1b0_0
python_abi 3.8 2_cp38 conda-forge pywin32 228 py38hbaba5e8_1
qt 5.9.7 vc14h73c81de_0
requests 2.25.1 pyhd3eb1b0_0
requests-oauthlib 1.3.0 py_0
rsa 4.7.2 pyhd3eb1b0_1
scikit-learn 0.24.2 py38hf11a4ad_1
scipy 1.6.2 py38h14eb087_0
setuptools 52.0.0 py38haa95532_0
sip 4.19.13 py38ha925a31_0
six 1.16.0 pyhd3eb1b0_0
sqlite 3.36.0 h2bbff1b_0
tensorboard 2.4.0 pyhc547734_0
tensorboard-plugin-wit 1.6.0 py_0
tensorflow 2.3.0 mkl_py38h1fcfbd6_0
tensorflow-base 2.3.0 gpu_py38h7339f5a_0
tensorflow-estimator 2.5.0 pyh7b7c402_0
tensorflow-gpu 2.3.0 he13fc11_0
termcolor 1.1.0 py38haa95532_1
threadpoolctl 2.2.0 pyhb85f177_0
tk 8.6.10 he774522_0
tornado 6.1 py38h2bbff1b_0
tqdm 4.61.2 pyhd3eb1b0_1
typing-extensions 3.10.0.0 hd3eb1b0_0
typing_extensions 3.10.0.0 pyh06a4308_0
urllib3 1.26.6 pyhd3eb1b0_1
vc 14.2 h21ff451_1
vs2015_runtime 14.27.29016 h5e58377_2
werkzeug 1.0.1 pyhd3eb1b0_0
wheel 0.36.2 pyhd3eb1b0_0
win_inet_pton 1.1.0 py38haa95532_0
wincertstore 0.2 py38_0
wrapt 1.12.1 py38he774522_1
xz 5.2.5 h62dcd97_0
yarl 1.6.3 py38h2bbff1b_0
zipp 3.5.0 pyhd3eb1b0_0
zlib 1.2.11 h62dcd97_4
zstd 1.4.9 h19a0ad4_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: normalized kernel_size: 3 passes: 4 threshold: 4 erosion: 0.0 [scaling.sharpen] method: none amount: 150 radius: 0.3 threshold: 5.0 [writer.ffmpeg] container: mp4 codec: libx264 crf: 23 preset: medium tune: none profile: auto level: auto skip_mux: False [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 scalefactor: 0.709 batch-size: 8 threshold_1: 0.6 threshold_2: 0.7 threshold_3: 0.7 [detect.s3fd] confidence: 70 batch-size: 4 [mask.bisenet_fp] batch-size: 8 include_ears: False include_hair: False include_glasses: True [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] centering: face coverage: 68.75 icnr_init: False conv_aware_init: False optimizer: adam learning_rate: 5e-05 epsilon_exponent: -7 reflect_padding: False allow_growth: False mixed_precision: False nan_protection: True convert_batchsize: 16 [global.loss] loss_function: ssim mask_loss_function: mse l2_reg_term: 100 eye_multiplier: 3 mouth_multiplier: 2 penalized_mask_loss: True mask_type: extended mask_blur_kernel: 3 mask_threshold: 4 learn_mask: False [model.dfaker] output_size: 128 [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.phaze_a] output_size: 128 shared_fc: none enable_gblock: True split_fc: True split_gblock: False split_decoders: False enc_architecture: fs_original enc_scaling: 40 enc_load_weights: True bottleneck_type: dense bottleneck_norm: none bottleneck_size: 1024 bottleneck_in_encoder: True fc_depth: 1 fc_min_filters: 1024 fc_max_filters: 1024 fc_dimensions: 4 fc_filter_slope: -0.5 fc_dropout: 0.0 fc_upsampler: upsample2d fc_upsamples: 1 fc_upsample_filters: 512 fc_gblock_depth: 3 fc_gblock_min_nodes: 512 fc_gblock_max_nodes: 512 fc_gblock_filter_slope: -0.5 fc_gblock_dropout: 0.0 dec_upscale_method: subpixel dec_norm: none dec_min_filters: 64 dec_max_filters: 512 dec_filter_slope: -0.45 dec_res_blocks: 1 dec_output_kernel: 5 dec_gaussian: True dec_skip_last_residual: True freeze_layers: keras_encoder load_layers: encoder fs_original_depth: 4 fs_original_min_filters: 128 fs_original_max_filters: 1024 mobilenet_width: 1.0 mobilenet_depth: 1 mobilenet_dropout: 0.001 [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

PS: used the png files I sent in my PM.

Any other hint? :cry:

User avatar
torzdf
Posts: 2649
Joined: Fri Jul 12, 2019 12:53 am
Answers: 159
Has thanked: 128 times
Been thanked: 622 times

Re: Could not broadcast input array from shape

Post by torzdf »

Yes. Your GPU does not support that version of Cuda. You must use version 11.x +

Follow the instructions in this thread: viewtopic.php?f=4&t=1226

30xx support will come, but Conda have really screwed the pooch on their TF 2.5 support, so it's going to take me a long time to implement and fix to provide a method that is not going to put me in support hell.

My word is final

User avatar
MarcusAgrippa
Posts: 7
Joined: Tue Aug 03, 2021 5:21 pm

Re: Could not broadcast input array from shape

Post by MarcusAgrippa »

Ok. I followed the instructions and uninstalled/reinstalled the required packages for my RTX 3060: Cuda (11.4), cuDNN (8.2.2) and Tensorflow (2.4).

Voilá! I managed to pass through the extracting phase, but I am now stuck in the training. Got this crash report which suggests, according to my research, a problem similar to this thread:

Re: [Guide] Using Faceswap on Nvidia RTX 30xx cards viewtopic.php?p=5830#p5830
viewtopic.php?p=5830#p5830

Code: Select all

08/22/2021 13:44:12 MainProcess     _training_0                    multithreading  start                          DEBUG    Started all threads '_run': 2
08/22/2021 13:44:12 MainProcess     _training_0                    _base           _set_preview_feed              DEBUG    Setting preview feed: (side: 'b')
08/22/2021 13:44:12 MainProcess     _training_0                    _base           _load_generator                DEBUG    Loading generator
08/22/2021 13:44:12 MainProcess     _training_0                    _base           _load_generator                DEBUG    input_size: 64, output_shapes: [(64, 64, 3)]
08/22/2021 13:44:12 MainProcess     _training_0                    generator       __init__                       DEBUG    Initializing TrainingDataGenerator: (model_input_size: 64, model_output_shapes: [(64, 64, 3)], coverage_ratio: 0.6875, color_order: bgr, augment_color: True, no_flip: False, no_warp: False, warp_to_landmarks: False, config: {'centering': 'face', 'coverage': 68.75, 'icnr_init': False, 'conv_aware_init': False, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'reflect_padding': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'mask_loss_function': 'mse', 'l2_reg_term': 100, 'eye_multiplier': 3, 'mouth_multiplier': 2, 'penalized_mask_loss': True, 'mask_type': 'extended', 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': False, '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})
08/22/2021 13:44:12 MainProcess     _training_0                    generator       __init__                       DEBUG    Initialized TrainingDataGenerator
08/22/2021 13:44:12 MainProcess     _training_0                    generator       minibatch_ab                   DEBUG    Queue batches: (image_count: 300, batchsize: 14, side: 'b', do_shuffle: True, is_preview, True, is_timelapse: False)
08/22/2021 13:44:12 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Initializing ImageAugmentation: (batchsize: 14, is_display: True, input_size: 64, output_shapes: [(64, 64, 3)], coverage_ratio: 0.6875, config: {'centering': 'face', 'coverage': 68.75, 'icnr_init': False, 'conv_aware_init': False, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'reflect_padding': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'mask_loss_function': 'mse', 'l2_reg_term': 100, 'eye_multiplier': 3, 'mouth_multiplier': 2, 'penalized_mask_loss': True, 'mask_type': 'extended', 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': False, '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})
08/22/2021 13:44:12 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Output sizes: [64]
08/22/2021 13:44:12 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Initialized ImageAugmentation
08/22/2021 13:44:12 MainProcess     _training_0                    multithreading  __init__                       DEBUG    Initializing BackgroundGenerator: (target: '_run', thread_count: 2)
08/22/2021 13:44:12 MainProcess     _training_0                    multithreading  __init__                       DEBUG    Initialized BackgroundGenerator: '_run'
08/22/2021 13:44:12 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread(s): '_run'
08/22/2021 13:44:12 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread 1 of 2: '_run_0'
08/22/2021 13:44:12 MainProcess     _run_0                         generator       _minibatch                     DEBUG    Loading minibatch generator: (image_count: 300, side: 'b', do_shuffle: True)
08/22/2021 13:44:12 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread 2 of 2: '_run_1'
08/22/2021 13:44:12 MainProcess     _run_1                         generator       _minibatch                     DEBUG    Loading minibatch generator: (image_count: 300, side: 'b', do_shuffle: True)
08/22/2021 13:44:12 MainProcess     _training_0                    multithreading  start                          DEBUG    Started all threads '_run': 2
08/22/2021 13:44:12 MainProcess     _training_0                    _base           _set_preview_feed              DEBUG    Set preview feed. Batchsize: 14
08/22/2021 13:44:12 MainProcess     _training_0                    _base           __init__                       DEBUG    Initialized _Feeder:
08/22/2021 13:44:12 MainProcess     _training_0                    _base           _set_tensorboard               DEBUG    Enabling TensorBoard Logging
08/22/2021 13:44:12 MainProcess     _training_0                    _base           _set_tensorboard               DEBUG    Setting up TensorBoard Logging
08/22/2021 13:44:12 MainProcess     _training_0                    _base           _set_tensorboard               VERBOSE  Enabled TensorBoard Logging
08/22/2021 13:44:12 MainProcess     _training_0                    _base           __init__                       DEBUG    Initializing _Samples: model: '<plugins.train.model.original.Model object at 0x0000022B2E132160>', coverage_ratio: 0.6875)
08/22/2021 13:44:12 MainProcess     _training_0                    _base           __init__                       DEBUG    Initialized _Samples
08/22/2021 13:44:12 MainProcess     _training_0                    _base           __init__                       DEBUG    Initializing _Timelapse: model: <plugins.train.model.original.Model object at 0x0000022B2E132160>, coverage_ratio: 0.6875, image_count: 14, feeder: '<plugins.train.trainer._base._Feeder object at 0x0000022B2E4B2F40>', image_paths: 2)
08/22/2021 13:44:12 MainProcess     _training_0                    _base           __init__                       DEBUG    Initializing _Samples: model: '<plugins.train.model.original.Model object at 0x0000022B2E132160>', coverage_ratio: 0.6875)
08/22/2021 13:44:12 MainProcess     _training_0                    _base           __init__                       DEBUG    Initialized _Samples
08/22/2021 13:44:12 MainProcess     _training_0                    _base           __init__                       DEBUG    Initialized _Timelapse
08/22/2021 13:44:12 MainProcess     _training_0                    _base           __init__                       DEBUG    Initialized Trainer
08/22/2021 13:44:12 MainProcess     _training_0                    train           _load_trainer                  DEBUG    Loaded Trainer
08/22/2021 13:44:12 MainProcess     _training_0                    train           _run_training_cycle            DEBUG    Running Training Cycle
08/22/2021 13:44:12 MainProcess     _run_0                         generator       _validate_version              DEBUG    Setting initial extract version: 2.2
08/22/2021 13:44:12 MainProcess     _run_0                         generator       _validate_version              DEBUG    Setting initial extract version: 2.2
08/22/2021 13:44:12 MainProcess     _run_0                         augmentation    initialize                     DEBUG    Initializing constants. training_size: 384
08/22/2021 13:44:12 MainProcess     _run_0                         augmentation    initialize                     DEBUG    Initializing constants. training_size: 384
08/22/2021 13:44:12 MainProcess     _run_0                         augmentation    initialize                     DEBUG    Initialized constants: {'clahe_base_contrast': 3, 'tgt_slices': slice(60, 324, None), 'warp_mapx': '[[[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]]', 'warp_mapy': '[[[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]]', 'warp_pad': 80, 'warp_slices': slice(8, -8, None), 'warp_lm_edge_anchors': '[[[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]]', 'warp_lm_grids': '[[[  0.   0.   0. ...   0.   0.   0.]\n  [  1.   1.   1. ...   1.   1.   1.]\n  [  2.   2.   2. ...   2.   2.   2.]\n  ...\n  [381. 381. 381. ... 381. 381. 381.]\n  [382. 382. 382. ... 382. 382. 382.]\n  [383. 383. 383. ... 383. 383. 383.]]\n\n [[  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]\n  ...\n  [  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]]]'}
08/22/2021 13:44:12 MainProcess     _run_0                         augmentation    initialize                     DEBUG    Initialized constants: {'clahe_base_contrast': 3, 'tgt_slices': slice(60, 324, None), 'warp_mapx': '[[[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]]', 'warp_mapy': '[[[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]]', 'warp_pad': 80, 'warp_slices': slice(8, -8, None), 'warp_lm_edge_anchors': '[[[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]]', 'warp_lm_grids': '[[[  0.   0.   0. ...   0.   0.   0.]\n  [  1.   1.   1. ...   1.   1.   1.]\n  [  2.   2.   2. ...   2.   2.   2.]\n  ...\n  [381. 381. 381. ... 381. 381. 381.]\n  [382. 382. 382. ... 382. 382. 382.]\n  [383. 383. 383. ... 383. 383. 383.]]\n\n [[  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]\n  ...\n  [  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]]]'}
08/22/2021 13:44:13 MainProcess     _run_0                         augmentation    initialize                     DEBUG    Initializing constants. training_size: 384
08/22/2021 13:44:13 MainProcess     _run_0                         augmentation    initialize                     DEBUG    Initialized constants: {'clahe_base_contrast': 3, 'tgt_slices': slice(60, 324, None), 'warp_mapx': '[[[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]]', 'warp_mapy': '[[[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]]', 'warp_pad': 80, 'warp_slices': slice(8, -8, None), 'warp_lm_edge_anchors': '[[[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]]', 'warp_lm_grids': '[[[  0.   0.   0. ...   0.   0.   0.]\n  [  1.   1.   1. ...   1.   1.   1.]\n  [  2.   2.   2. ...   2.   2.   2.]\n  ...\n  [381. 381. 381. ... 381. 381. 381.]\n  [382. 382. 382. ... 382. 382. 382.]\n  [383. 383. 383. ... 383. 383. 383.]]\n\n [[  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]\n  ...\n  [  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]]]'}
08/22/2021 13:44:13 MainProcess     _run_0                         augmentation    initialize                     DEBUG    Initializing constants. training_size: 384
08/22/2021 13:44:13 MainProcess     _run_0                         augmentation    initialize                     DEBUG    Initialized constants: {'clahe_base_contrast': 3, 'tgt_slices': slice(60, 324, None), 'warp_mapx': '[[[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]\n  [ 60. 126. 192. 258. 324.]]]', 'warp_mapy': '[[[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]\n\n [[ 60.  60.  60.  60.  60.]\n  [126. 126. 126. 126. 126.]\n  [192. 192. 192. 192. 192.]\n  [258. 258. 258. 258. 258.]\n  [324. 324. 324. 324. 324.]]]', 'warp_pad': 80, 'warp_slices': slice(8, -8, None), 'warp_lm_edge_anchors': '[[[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]]', 'warp_lm_grids': '[[[  0.   0.   0. ...   0.   0.   0.]\n  [  1.   1.   1. ...   1.   1.   1.]\n  [  2.   2.   2. ...   2.   2.   2.]\n  ...\n  [381. 381. 381. ... 381. 381. 381.]\n  [382. 382. 382. ... 382. 382. 382.]\n  [383. 383. 383. ... 383. 383. 383.]]\n\n [[  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]\n  ...\n  [  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]]]'}
08/22/2021 13:44:13 MainProcess     _run_1                         generator       cache_metadata                 DEBUG    All metadata already cached for: ['Teste 001_cortado_000118_0.png', 'Teste 001_cortado_000081_0.png', 'Teste 001_cortado_000229_0.png', 'Teste 001_cortado_000093_0.png', 'Teste 001_cortado_000168_0.png', 'Teste 001_cortado_000198_0.png', 'Teste 001_cortado_000119_0.png', 'Teste 001_cortado_000087_0.png', 'Teste 001_cortado_000096_0.png', 'Teste 001_cortado_000254_0.png', 'Teste 001_cortado_000158_0.png', 'Teste 001_cortado_000238_0.png', 'Teste 001_cortado_000014_0.png', 'Teste 001_cortado_000173_0.png', 'Teste 001_cortado_000205_0.png', 'Teste 001_cortado_000129_0.png']
08/22/2021 13:44:14 MainProcess     _run_1                         generator       cache_metadata                 DEBUG    All metadata already cached for: ['00013_0_0.png', '3_00952_0_0.png', '06955_0_0.png', '2_00037_0_0.png', '2_00030_0_0.png', '04049_0_0.png', '3_00240_0_0.png', '06144_0_0.png', '01555_0_0.png', '3_00764_0_0.png', '04157_0_0.png', '07083_0_0.png', '3_02034_0_0.png', '3_00532_0_0.png', '3_01978_0_0.png', '04512_0_0.png']
08/22/2021 13:44:14 MainProcess     _training_0                    api             converted_call                 DEBUG    Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x0000022B2E52F160>, weight: 1.0, mask_channel: 3)
08/22/2021 13:44:15 MainProcess     _training_0                    api             converted_call                 DEBUG    Applying mask from channel 3
08/22/2021 13:44:15 MainProcess     _training_0                    api             converted_call                 DEBUG    Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x0000022B2E47CE80>, weight: 1.0, mask_channel: 3)
08/22/2021 13:44:15 MainProcess     _training_0                    api             converted_call                 DEBUG    Applying mask from channel 3
08/22/2021 13:44:15 MainProcess     _training_0                    api             converted_call                 DEBUG    Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x0000022B2E47CFD0>, weight: 3.0, mask_channel: 4)
08/22/2021 13:44:15 MainProcess     _training_0                    api             converted_call                 DEBUG    Applying mask from channel 4
08/22/2021 13:44:15 MainProcess     _training_0                    api             converted_call                 DEBUG    Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x0000022B2E47CBE0>, weight: 1.0, mask_channel: 1)
08/22/2021 13:44:15 MainProcess     _training_0                    api             converted_call                 DEBUG    Applying mask from channel 1
08/22/2021 13:44:15 MainProcess     _training_0                    api             converted_call                 DEBUG    Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x0000022B2E55CAF0>, weight: 2.0, mask_channel: 5)
08/22/2021 13:44:15 MainProcess     _training_0                    api             converted_call                 DEBUG    Applying mask from channel 5
08/22/2021 13:44:15 MainProcess     _training_0                    api             converted_call                 DEBUG    Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x0000022B2E55C700>, weight: 1.0, mask_channel: 2)
08/22/2021 13:44:15 MainProcess     _training_0                    api             converted_call                 DEBUG    Applying mask from channel 2
08/22/2021 13:44:15 MainProcess     _training_0                    api             converted_call                 DEBUG    Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x0000022B2E55CEB0>, weight: 1.0, mask_channel: 3)
08/22/2021 13:44:15 MainProcess     _training_0                    api             converted_call                 DEBUG    Applying mask from channel 3
08/22/2021 13:44:15 MainProcess     _training_0                    api             converted_call                 DEBUG    Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x0000022B346D5250>, weight: 1.0, mask_channel: 3)
08/22/2021 13:44:15 MainProcess     _training_0                    api             converted_call                 DEBUG    Applying mask from channel 3
08/22/2021 13:44:15 MainProcess     _training_0                    api             converted_call                 DEBUG    Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x0000022B346D5A30>, weight: 3.0, mask_channel: 4)
08/22/2021 13:44:15 MainProcess     _training_0                    api             converted_call                 DEBUG    Applying mask from channel 4
08/22/2021 13:44:15 MainProcess     _training_0                    api             converted_call                 DEBUG    Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x0000022B346D5B20>, weight: 1.0, mask_channel: 1)
08/22/2021 13:44:15 MainProcess     _training_0                    api             converted_call                 DEBUG    Applying mask from channel 1
08/22/2021 13:44:15 MainProcess     _training_0                    api             converted_call                 DEBUG    Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x0000022B2E4B2D60>, weight: 2.0, mask_channel: 5)
08/22/2021 13:44:15 MainProcess     _training_0                    api             converted_call                 DEBUG    Applying mask from channel 5
08/22/2021 13:44:15 MainProcess     _training_0                    api             converted_call                 DEBUG    Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x0000022B2E4B28B0>, weight: 1.0, mask_channel: 2)
08/22/2021 13:44:15 MainProcess     _training_0                    api             converted_call                 DEBUG    Applying mask from channel 2
08/22/2021 13:44:16 MainProcess     _training_0                    api             converted_call                 DEBUG    Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x0000022B2E52F160>, weight: 1.0, mask_channel: 3)
08/22/2021 13:44:17 MainProcess     _training_0                    api             converted_call                 DEBUG    Applying mask from channel 3
08/22/2021 13:44:17 MainProcess     _training_0                    api             converted_call                 DEBUG    Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x0000022B2E47CE80>, weight: 1.0, mask_channel: 3)
08/22/2021 13:44:17 MainProcess     _training_0                    api             converted_call                 DEBUG    Applying mask from channel 3
08/22/2021 13:44:17 MainProcess     _training_0                    api             converted_call                 DEBUG    Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x0000022B2E47CFD0>, weight: 3.0, mask_channel: 4)
08/22/2021 13:44:17 MainProcess     _training_0                    api             converted_call                 DEBUG    Applying mask from channel 4
08/22/2021 13:44:17 MainProcess     _training_0                    api             converted_call                 DEBUG    Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x0000022B2E47CBE0>, weight: 1.0, mask_channel: 1)
08/22/2021 13:44:17 MainProcess     _training_0                    api             converted_call                 DEBUG    Applying mask from channel 1
08/22/2021 13:44:17 MainProcess     _training_0                    api             converted_call                 DEBUG    Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x0000022B2E55CAF0>, weight: 2.0, mask_channel: 5)
08/22/2021 13:44:17 MainProcess     _training_0                    api             converted_call                 DEBUG    Applying mask from channel 5
08/22/2021 13:44:17 MainProcess     _training_0                    api             converted_call                 DEBUG    Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x0000022B2E55C700>, weight: 1.0, mask_channel: 2)
08/22/2021 13:44:17 MainProcess     _training_0                    api             converted_call                 DEBUG    Applying mask from channel 2
08/22/2021 13:44:17 MainProcess     _training_0                    api             converted_call                 DEBUG    Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x0000022B2E55CEB0>, weight: 1.0, mask_channel: 3)
08/22/2021 13:44:17 MainProcess     _training_0                    api             converted_call                 DEBUG    Applying mask from channel 3
08/22/2021 13:44:17 MainProcess     _training_0                    api             converted_call                 DEBUG    Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x0000022B346D5250>, weight: 1.0, mask_channel: 3)
08/22/2021 13:44:17 MainProcess     _training_0                    api             converted_call                 DEBUG    Applying mask from channel 3
08/22/2021 13:44:17 MainProcess     _training_0                    api             converted_call                 DEBUG    Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x0000022B346D5A30>, weight: 3.0, mask_channel: 4)
08/22/2021 13:44:17 MainProcess     _training_0                    api             converted_call                 DEBUG    Applying mask from channel 4
08/22/2021 13:44:17 MainProcess     _training_0                    api             converted_call                 DEBUG    Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x0000022B346D5B20>, weight: 1.0, mask_channel: 1)
08/22/2021 13:44:17 MainProcess     _training_0                    api             converted_call                 DEBUG    Applying mask from channel 1
08/22/2021 13:44:17 MainProcess     _training_0                    api             converted_call                 DEBUG    Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x0000022B2E4B2D60>, weight: 2.0, mask_channel: 5)
08/22/2021 13:44:17 MainProcess     _training_0                    api             converted_call                 DEBUG    Applying mask from channel 5
08/22/2021 13:44:17 MainProcess     _training_0                    api             converted_call                 DEBUG    Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x0000022B2E4B28B0>, weight: 1.0, mask_channel: 2)
08/22/2021 13:44:17 MainProcess     _training_0                    api             converted_call                 DEBUG    Applying mask from channel 2
08/22/2021 13:44:21 MainProcess     _training_0                    multithreading  run                            DEBUG    Error in thread (_training_0): 2 root error(s) found.\n  (0) Not found:  No algorithm worked!\n	 [[node original/encoder/conv_128_0_conv2d/Conv2D_1 (defined at \faceswap\plugins\train\trainer\_base.py:193) ]]\n	 [[cond_1/then/_10/batch_decoder_a_loss/ReadVariableOp/_58]]\n  (1) Not found:  No algorithm worked!\n	 [[node original/encoder/conv_128_0_conv2d/Conv2D_1 (defined at \faceswap\plugins\train\trainer\_base.py:193) ]]\n0 successful operations.\n0 derived errors ignored. [Op:__inference_train_function_8935]\n\nFunction call stack:\ntrain_function -> train_function\n
08/22/2021 13:44:22 MainProcess     MainThread                     train           _monitor                       DEBUG    Thread error detected
08/22/2021 13:44:22 MainProcess     MainThread                     train           _monitor                       DEBUG    Closed Monitor
08/22/2021 13:44:22 MainProcess     MainThread                     train           _end_thread                    DEBUG    Ending Training thread
08/22/2021 13:44:22 MainProcess     MainThread                     train           _end_thread                    CRITICAL Error caught! Exiting...
08/22/2021 13:44:22 MainProcess     MainThread                     multithreading  join                           DEBUG    Joining Threads: '_training'
08/22/2021 13:44:22 MainProcess     MainThread                     multithreading  join                           DEBUG    Joining Thread: '_training_0'
08/22/2021 13:44:22 MainProcess     MainThread                     multithreading  join                           ERROR    Caught exception in thread: '_training_0'
Traceback (most recent call last):
  File "C:\Users\user\faceswap\lib\cli\launcher.py", line 182, in execute_script
    process.process()
  File "C:\Users\user\faceswap\scripts\train.py", line 190, in process
    self._end_thread(thread, err)
  File "C:\Users\user\faceswap\scripts\train.py", line 230, in _end_thread
    thread.join()
  File "C:\Users\user\faceswap\lib\multithreading.py", line 121, in join
    raise thread.err[1].with_traceback(thread.err[2])
  File "C:\Users\user\faceswap\lib\multithreading.py", line 37, in run
    self._target(*self._args, **self._kwargs)
  File "C:\Users\user\faceswap\scripts\train.py", line 252, in _training
    raise err
  File "C:\Users\user\faceswap\scripts\train.py", line 242, in _training
    self._run_training_cycle(model, trainer)
  File "C:\Users\user\faceswap\scripts\train.py", line 327, in _run_training_cycle
    trainer.train_one_step(viewer, timelapse)
  File "C:\Users\user\faceswap\plugins\train\trainer\_base.py", line 193, in train_one_step
    loss = self._model.model.train_on_batch(model_inputs, y=model_targets)
  File "C:\Users\user\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py", line 1727, in train_on_batch
    logs = self.train_function(iterator)
  File "C:\Users\user\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\eager\def_function.py", line 828, in __call__
    result = self._call(*args, **kwds)
  File "C:\Users\user\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\eager\def_function.py", line 888, in _call
    return self._stateless_fn(*args, **kwds)
  File "C:\Users\user\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\eager\function.py", line 2942, in __call__
    return graph_function._call_flat(
  File "C:\Users\user\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\eager\function.py", line 1918, in _call_flat
    return self._build_call_outputs(self._inference_function.call(
  File "C:\Users\user\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\eager\function.py", line 555, in call
    outputs = execute.execute(
  File "C:\Users\user\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\eager\execute.py", line 59, in quick_execute
    tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,
tensorflow.python.framework.errors_impl.NotFoundError: 2 root error(s) found.
  (0) Not found:  No algorithm worked!
	 [[node original/encoder/conv_128_0_conv2d/Conv2D_1 (defined at \faceswap\plugins\train\trainer\_base.py:193) ]]
	 [[cond_1/then/_10/batch_decoder_a_loss/ReadVariableOp/_58]]
  (1) Not found:  No algorithm worked!
	 [[node original/encoder/conv_128_0_conv2d/Conv2D_1 (defined at \faceswap\plugins\train\trainer\_base.py:193) ]]
0 successful operations.
0 derived errors ignored. [Op:__inference_train_function_8935]

Function call stack:
train_function -> train_function


============ System Information ============
encoding:            cp1252
git_branch:          master
git_commits:         1b78098 Phaze-A - Force AdaInstanceNorm to float32    - Reduce NaN for Mixed Precision training. bfc8517 Bugfix - Correctly parse 'load_layers' configuration parameter
gpu_cuda:            11.4
gpu_cudnn:           8.2.2
gpu_devices:         GPU_0: NVIDIA GeForce RTX 3060
gpu_devices_active:  GPU_0
gpu_driver:          471.41
gpu_vram:            GPU_0: 12288MB
os_machine:          AMD64
os_platform:         Windows-10-10.0.19043-SP0
os_release:          10
py_command:          C:\Users\user\faceswap\faceswap.py train -A C:/Users/user/Documents/Deep Fake/Filmes Output/Teste -B C:/Users/user/Documents/Deep Fake/Filmes Output/teste B -m C:/Users/user/Documents/Deep Fake/Filmes Output/Model -t original -bs 16 -it 1000000 -s 250 -ss 25000 -ps 100 -L INFO -gui
py_conda_version:    conda 4.10.3
py_implementation:   CPython
py_version:          3.8.11
py_virtual_env:      True
sys_cores:           16
sys_processor:       Intel64 Family 6 Model 165 Stepping 5, GenuineIntel
sys_ram:             Total: 16297MB, Available: 8040MB, Used: 8256MB, Free: 8040MB

=============== Pip Packages ===============
absl-py==0.13.0
astunparse==1.6.3
cachetools==4.2.2
certifi==2021.5.30
charset-normalizer==2.0.4
cycler==0.10.0
fastcluster==1.1.26
ffmpy==0.2.3
flatbuffers==1.12
gast==0.3.3
google-auth==1.35.0
google-auth-oauthlib==0.4.5
google-pasta==0.2.0
grpcio==1.32.0
h5py==2.10.0
idna==3.2
imageio @ file:///tmp/build/80754af9/imageio_1617700267927/work
imageio-ffmpeg @ file:///home/conda/feedstock_root/build_artifacts/imageio-ffmpeg_1621542018480/work
joblib @ file:///tmp/build/80754af9/joblib_1613502643832/work
keras-nightly==2.5.0.dev2021032900
Keras-Preprocessing==1.1.2
kiwisolver @ file:///C:/ci/kiwisolver_1612282606037/work
Markdown==3.3.4
matplotlib @ file:///C:/ci/matplotlib-base_1592837548929/work
mkl-fft==1.3.0
mkl-random==1.1.1
mkl-service==2.3.0
numpy @ file:///C:/ci/numpy_and_numpy_base_1603466732592/work
nvidia-ml-py3 @ git+https://github.com/deepfakes/nvidia-ml-py3.git@6fc29ac84b32bad877f078cb4a777c1548a00bf6
oauthlib==3.1.1
olefile==0.46
opencv-python==4.5.3.56
opt-einsum==3.3.0
pathlib==1.0.1
Pillow @ file:///C:/ci/pillow_1625663293593/work
protobuf==3.17.3
psutil @ file:///C:/ci/psutil_1612298324802/work
pyasn1==0.4.8
pyasn1-modules==0.2.8
pyparsing @ file:///home/linux1/recipes/ci/pyparsing_1610983426697/work
python-dateutil @ file:///tmp/build/80754af9/python-dateutil_1626374649649/work
pywin32==228
requests==2.26.0
requests-oauthlib==1.3.0
rsa==4.7.2
scikit-learn @ file:///C:/ci/scikit-learn_1622739500535/work
scipy @ file:///C:/ci/scipy_1616703433439/work
sip==4.19.13
six==1.15.0
tensorboard==2.6.0
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.0
tensorflow-estimator==2.4.0
tensorflow-gpu==2.4.0
termcolor==1.1.0
threadpoolctl @ file:///Users/ktietz/demo/mc3/conda-bld/threadpoolctl_1628668762525/work
tornado @ file:///C:/ci/tornado_1606942392901/work
tqdm @ file:///tmp/build/80754af9/tqdm_1625563689033/work
typing-extensions==3.7.4.3
urllib3==1.26.6
Werkzeug==2.0.1
wincertstore==0.2
wrapt==1.12.1

============== Conda Packages ==============
# packages in environment at C:\Users\user\MiniConda3\envs\faceswap:
#
# Name                    Version                   Build  Channel
absl-py                   0.13.0                   pypi_0    pypi
astunparse                1.6.3                    pypi_0    pypi
blas                      1.0                         mkl  
ca-certificates 2021.7.5 haa95532_1
cachetools 4.2.2 pypi_0 pypi certifi 2021.5.30 py38haa95532_0
charset-normalizer 2.0.4 pypi_0 pypi cudatoolkit 10.1.243 h74a9793_0
cudnn 7.6.5 cuda10.1_0
cycler 0.10.0 py38_0
fastcluster 1.1.26 py38h251f6bf_2 conda-forge ffmpeg 4.2.2 he774522_0
ffmpy 0.2.3 pypi_0 pypi flatbuffers 1.12 pypi_0 pypi freetype 2.10.4 hd328e21_0
gast 0.3.3 pypi_0 pypi git 2.23.0 h6bb4b03_0
google-auth 1.35.0 pypi_0 pypi google-auth-oauthlib 0.4.5 pypi_0 pypi google-pasta 0.2.0 pypi_0 pypi grpcio 1.32.0 pypi_0 pypi h5py 2.10.0 pypi_0 pypi icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha925a31_3
idna 3.2 pypi_0 pypi imageio 2.9.0 pyhd3eb1b0_0
imageio-ffmpeg 0.4.4 pyhd8ed1ab_0 conda-forge intel-openmp 2021.3.0 haa95532_3372
joblib 1.0.1 pyhd3eb1b0_0
jpeg 9b hb83a4c4_2
keras-nightly 2.5.0.dev2021032900 pypi_0 pypi keras-preprocessing 1.1.2 pypi_0 pypi kiwisolver 1.3.1 py38hd77b12b_0
libpng 1.6.37 h2a8f88b_0
libtiff 4.2.0 hd0e1b90_0
lz4-c 1.9.3 h2bbff1b_1
markdown 3.3.4 pypi_0 pypi matplotlib 3.2.2 0
matplotlib-base 3.2.2 py38h64f37c6_0
mkl 2020.2 256
mkl-service 2.3.0 py38h196d8e1_0
mkl_fft 1.3.0 py38h46781fe_0
mkl_random 1.1.1 py38h47e9c7a_0
numpy 1.19.2 py38hadc3359_0
numpy-base 1.19.2 py38ha3acd2a_0
nvidia-ml-py3 7.352.1 pypi_0 pypi oauthlib 3.1.1 pypi_0 pypi olefile 0.46 py_0
opencv-python 4.5.3.56 pypi_0 pypi openssl 1.1.1k h2bbff1b_0
opt-einsum 3.3.0 pypi_0 pypi pathlib 1.0.1 py_1
pillow 8.3.1 py38h4fa10fc_0
pip 21.2.2 py38haa95532_0
protobuf 3.17.3 pypi_0 pypi psutil 5.8.0 py38h2bbff1b_1
pyasn1 0.4.8 pypi_0 pypi pyasn1-modules 0.2.8 pypi_0 pypi pyparsing 2.4.7 pyhd3eb1b0_0
pyqt 5.9.2 py38ha925a31_4
python 3.8.11 h6244533_0_cpython
python-dateutil 2.8.2 pyhd3eb1b0_0
python_abi 3.8 2_cp38 conda-forge pywin32 228 py38hbaba5e8_1
qt 5.9.7 vc14h73c81de_0
requests 2.26.0 pypi_0 pypi requests-oauthlib 1.3.0 pypi_0 pypi rsa 4.7.2 pypi_0 pypi scikit-learn 0.24.2 py38hf11a4ad_1
scipy 1.6.2 py38h14eb087_0
setuptools 52.0.0 py38haa95532_0
sip 4.19.13 py38ha925a31_0
six 1.15.0 pypi_0 pypi sqlite 3.36.0 h2bbff1b_0
tensorboard 2.6.0 pypi_0 pypi tensorboard-data-server 0.6.1 pypi_0 pypi tensorboard-plugin-wit 1.8.0 pypi_0 pypi tensorflow-estimator 2.4.0 pypi_0 pypi tensorflow-gpu 2.4.0 pypi_0 pypi termcolor 1.1.0 pypi_0 pypi threadpoolctl 2.2.0 pyhbf3da8f_0
tk 8.6.10 he774522_0
tornado 6.1 py38h2bbff1b_0
tqdm 4.61.2 pyhd3eb1b0_1
typing-extensions 3.7.4.3 pypi_0 pypi urllib3 1.26.6 pypi_0 pypi vc 14.2 h21ff451_1
vs2015_runtime 14.27.29016 h5e58377_2
werkzeug 2.0.1 pypi_0 pypi wheel 0.37.0 pyhd3eb1b0_0
wincertstore 0.2 py38_0
wrapt 1.12.1 pypi_0 pypi xz 5.2.5 h62dcd97_0
zlib 1.2.11 h62dcd97_4
zstd 1.4.9 h19a0ad4_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: normalized kernel_size: 3 passes: 4 threshold: 4 erosion: 0.0 [scaling.sharpen] method: none amount: 150 radius: 0.3 threshold: 5.0 [writer.ffmpeg] container: mp4 codec: libx264 crf: 23 preset: medium tune: none profile: auto level: auto skip_mux: False [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 scalefactor: 0.709 batch-size: 8 threshold_1: 0.6 threshold_2: 0.7 threshold_3: 0.7 [detect.s3fd] confidence: 70 batch-size: 4 [mask.bisenet_fp] batch-size: 8 include_ears: False include_hair: False include_glasses: True [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] centering: face coverage: 68.75 icnr_init: False conv_aware_init: False optimizer: adam learning_rate: 5e-05 epsilon_exponent: -7 reflect_padding: False allow_growth: False mixed_precision: False nan_protection: True convert_batchsize: 16 [global.loss] loss_function: ssim mask_loss_function: mse l2_reg_term: 100 eye_multiplier: 3 mouth_multiplier: 2 penalized_mask_loss: True mask_type: extended mask_blur_kernel: 3 mask_threshold: 4 learn_mask: False [model.dfaker] output_size: 128 [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.phaze_a] output_size: 128 shared_fc: none enable_gblock: True split_fc: True split_gblock: False split_decoders: False enc_architecture: fs_original enc_scaling: 40 enc_load_weights: True bottleneck_type: dense bottleneck_norm: none bottleneck_size: 1024 bottleneck_in_encoder: True fc_depth: 1 fc_min_filters: 1024 fc_max_filters: 1024 fc_dimensions: 4 fc_filter_slope: -0.5 fc_dropout: 0.0 fc_upsampler: upsample2d fc_upsamples: 1 fc_upsample_filters: 512 fc_gblock_depth: 3 fc_gblock_min_nodes: 512 fc_gblock_max_nodes: 512 fc_gblock_filter_slope: -0.5 fc_gblock_dropout: 0.0 dec_upscale_method: subpixel dec_norm: none dec_min_filters: 64 dec_max_filters: 512 dec_filter_slope: -0.45 dec_res_blocks: 1 dec_output_kernel: 5 dec_gaussian: True dec_skip_last_residual: True freeze_layers: keras_encoder load_layers: encoder fs_original_depth: 4 fs_original_min_filters: 128 fs_original_max_filters: 1024 mobilenet_width: 1.0 mobilenet_depth: 1 mobilenet_dropout: 0.001 [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

Judging by the discussion, I am back to the "tensorflow 2.5 update" issue.

User avatar
torzdf
Posts: 2649
Joined: Fri Jul 12, 2019 12:53 am
Answers: 159
Has thanked: 128 times
Been thanked: 622 times

Re: Could not broadcast input array from shape

Post by torzdf »

This is an out of memory error. Try lowering the batchsize or selecting a smaller model/preset

My word is final

Locked