search

deepfakes / faceswap

Deepfakes Software For All
https://www.faceswap.dev
GNU General Public License v3.0
52.18k stars 13.2k forks source link

ValueError: not enough values to unpack (expected 2, got 0) #870

Closed rknightion closed 5 years ago

rknightion commented 5 years ago

Describe the bug When trying to run a train with Original, I get "not enough values to unpack" error/crash

This is on the Windows GUI build

Crash report:


09/14/2019 21:16:09 MainProcess     _run_1          training_data   minibatch                 DEBUG    Loading minibatch generator: (image_count: 644, side: 'b', is_display: False, do_shuffle: True)
09/14/2019 21:16:09 MainProcess     training_0      multithreading  start                     DEBUG    Started all threads '_run': 2
09/14/2019 21:16:09 MainProcess     training_0      _base           set_tensorboard           DEBUG    Enabling TensorBoard Logging
09/14/2019 21:16:09 MainProcess     training_0      _base           set_tensorboard           DEBUG    Setting up TensorBoard Logging. Side: a
09/14/2019 21:16:09 MainProcess     training_0      _base           name                      DEBUG    model name: 'original'
09/14/2019 21:16:09 MainProcess     training_0      _base           tensorboard_kwargs        DEBUG    Tensorflow version: [1, 14, 0]
09/14/2019 21:16:09 MainProcess     training_0      _base           tensorboard_kwargs        DEBUG    {'histogram_freq': 0, 'batch_size': 64, 'write_graph': True, 'write_grads': True, 'update_freq': 'batch', 'profile_batch': 0}
09/14/2019 21:16:11 MainProcess     training_0      _base           set_tensorboard           DEBUG    Setting up TensorBoard Logging. Side: b
09/14/2019 21:16:11 MainProcess     training_0      _base           name                      DEBUG    model name: 'original'
09/14/2019 21:16:11 MainProcess     training_0      _base           tensorboard_kwargs        DEBUG    Tensorflow version: [1, 14, 0]
09/14/2019 21:16:11 MainProcess     training_0      _base           tensorboard_kwargs        DEBUG    {'histogram_freq': 0, 'batch_size': 64, 'write_graph': True, 'write_grads': True, 'update_freq': 'batch', 'profile_batch': 0}
09/14/2019 21:16:12 MainProcess     training_0      _base           set_tensorboard           INFO     Enabled TensorBoard Logging
09/14/2019 21:16:12 MainProcess     training_0      _base           use_mask                  DEBUG    False
09/14/2019 21:16:12 MainProcess     training_0      _base           __init__                  DEBUG    Initializing Samples: model: '<plugins.train.model.original.Model object at 0x000002B964163C88>', use_mask: False, coverage_ratio: 0.6875)
09/14/2019 21:16:12 MainProcess     training_0      _base           __init__                  DEBUG    Initialized Samples
09/14/2019 21:16:12 MainProcess     training_0      _base           use_mask                  DEBUG    False
09/14/2019 21:16:12 MainProcess     training_0      _base           __init__                  DEBUG    Initializing Timelapse: model: <plugins.train.model.original.Model object at 0x000002B964163C88>, use_mask: False, coverage_ratio: 0.6875, preview_images: 14, batchers: '{'a': <plugins.train.trainer._base.Batcher object at 0x000002B921FA2AC8>, 'b': <plugins.train.trainer._base.Batcher object at 0x000002B9222574A8>}')
09/14/2019 21:16:12 MainProcess     training_0      _base           __init__                  DEBUG    Initializing Samples: model: '<plugins.train.model.original.Model object at 0x000002B964163C88>', use_mask: False, coverage_ratio: 0.6875)
09/14/2019 21:16:12 MainProcess     training_0      _base           __init__                  DEBUG    Initialized Samples
09/14/2019 21:16:12 MainProcess     training_0      _base           __init__                  DEBUG    Initialized Timelapse
09/14/2019 21:16:12 MainProcess     training_0      _base           __init__                  DEBUG    Initialized Trainer
09/14/2019 21:16:12 MainProcess     training_0      train           load_trainer              DEBUG    Loaded Trainer
09/14/2019 21:16:12 MainProcess     training_0      train           run_training_cycle        DEBUG    Running Training Cycle
09/14/2019 21:16:13 MainProcess     training_0      _base           generate_preview          DEBUG    Generating preview
09/14/2019 21:16:13 MainProcess     training_0      _base           set_preview_feed          DEBUG    Setting preview feed: (side: 'a')
09/14/2019 21:16:13 MainProcess     training_0      _base           load_generator            DEBUG    Loading generator: a
09/14/2019 21:16:13 MainProcess     training_0      _base           load_generator            DEBUG    input_size: 64, output_shapes: [(64, 64, 3)]
09/14/2019 21:16:13 MainProcess     training_0      training_data   __init__                  DEBUG    Initializing TrainingDataGenerator: (model_input_size: 64, model_output_shapes: [(64, 64, 3)], training_opts: {'alignments': {'a': 'C:\\Users\\Administrator\\Documents\\fs\\fs\\craigex\\craig_alignments.json', 'b': 'C:\\Users\\Administrator\\Documents\\fs\\fs\\robex\\rob_alignments.json'}, 'preview_scaling': 0.5, 'warp_to_landmarks': False, 'augment_color': True, 'no_flip': False, 'pingpong': False, 'snapshot_interval': 25000, 'training_size': 256, 'no_logs': False, 'mask_type': None, 'coverage_ratio': 0.6875}, landmarks: False, config: {'coverage': 68.75, 'mask_type': None, 'mask_blur': False, 'icnr_init': False, 'conv_aware_init': False, 'subpixel_upscaling': False, 'reflect_padding': False, 'penalized_mask_loss': True, 'loss_function': 'mae', 'learning_rate': 5e-05, '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})
09/14/2019 21:16:13 MainProcess     training_0      training_data   set_mask_class            DEBUG    Mask class: None
09/14/2019 21:16:13 MainProcess     training_0      training_data   __init__                  DEBUG    Initializing ImageManipulation: (input_size: 64, output_shapes: [(64, 64, 3)], coverage_ratio: 0.6875, config: {'coverage': 68.75, 'mask_type': None, 'mask_blur': False, 'icnr_init': False, 'conv_aware_init': False, 'subpixel_upscaling': False, 'reflect_padding': False, 'penalized_mask_loss': True, 'loss_function': 'mae', 'learning_rate': 5e-05, '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})
09/14/2019 21:16:13 MainProcess     training_0      training_data   __init__                  DEBUG    Output sizes: [64]
09/14/2019 21:16:13 MainProcess     training_0      training_data   __init__                  DEBUG    Initialized ImageManipulation
09/14/2019 21:16:13 MainProcess     training_0      training_data   __init__                  DEBUG    Initialized TrainingDataGenerator
09/14/2019 21:16:13 MainProcess     training_0      training_data   minibatch_ab              DEBUG    Queue batches: (image_count: 586, batchsize: 14, side: 'a', do_shuffle: True, is_preview, True, is_timelapse: False)
09/14/2019 21:16:13 MainProcess     training_0      multithreading  __init__                  DEBUG    Initializing BackgroundGenerator: (target: '_run', thread_count: 2)
09/14/2019 21:16:13 MainProcess     training_0      multithreading  __init__                  DEBUG    Initialized BackgroundGenerator: '_run'
09/14/2019 21:16:13 MainProcess     training_0      multithreading  start                     DEBUG    Starting thread(s): '_run'
09/14/2019 21:16:13 MainProcess     training_0      multithreading  start                     DEBUG    Starting thread 1 of 2: '_run_0'
09/14/2019 21:16:13 MainProcess     _run_0          training_data   minibatch                 DEBUG    Loading minibatch generator: (image_count: 586, side: 'a', is_display: True, do_shuffle: True)
09/14/2019 21:16:13 MainProcess     training_0      multithreading  start                     DEBUG    Starting thread 2 of 2: '_run_1'
09/14/2019 21:16:13 MainProcess     _run_1          training_data   minibatch                 DEBUG    Loading minibatch generator: (image_count: 586, side: 'a', is_display: True, do_shuffle: True)
09/14/2019 21:16:13 MainProcess     training_0      multithreading  start                     DEBUG    Started all threads '_run': 2
09/14/2019 21:16:13 MainProcess     training_0      _base           set_preview_feed          DEBUG    Set preview feed. Batchsize: 14
09/14/2019 21:16:14 MainProcess     training_0      _base           largest_face_index        DEBUG    0
09/14/2019 21:16:24 MainProcess     training_0      _base           compile_sample            DEBUG    Compiling samples: (side: 'a', samples: 14)
09/14/2019 21:16:24 MainProcess     training_0      _base           get_sample                DEBUG    Getting timelapse samples: 'a'
09/14/2019 21:16:24 MainProcess     training_0      _base           setup                     DEBUG    Setting up timelapse
09/14/2019 21:16:24 MainProcess     training_0      _base           setup                     DEBUG    Timelapse output set to 'C:\Users\Administrator\Documents\fs\fs\tl'
09/14/2019 21:16:24 MainProcess     training_0      utils           get_image_paths           DEBUG    Scanned Folder contains 0 files
09/14/2019 21:16:24 MainProcess     training_0      utils           get_image_paths           DEBUG    Returning 0 images
09/14/2019 21:16:24 MainProcess     training_0      utils           get_image_paths           DEBUG    Scanned Folder contains 0 files
09/14/2019 21:16:24 MainProcess     training_0      utils           get_image_paths           DEBUG    Returning 0 images
09/14/2019 21:16:24 MainProcess     training_0      _base           set_timelapse_feed        DEBUG    Setting timelapse feed: (side: 'a', input_images: '[]', batchsize: 0)
09/14/2019 21:16:24 MainProcess     training_0      _base           load_generator            DEBUG    Loading generator: a
09/14/2019 21:16:24 MainProcess     training_0      _base           load_generator            DEBUG    input_size: 64, output_shapes: [(64, 64, 3)]
09/14/2019 21:16:24 MainProcess     training_0      training_data   __init__                  DEBUG    Initializing TrainingDataGenerator: (model_input_size: 64, model_output_shapes: [(64, 64, 3)], training_opts: {'alignments': {'a': 'C:\\Users\\Administrator\\Documents\\fs\\fs\\craigex\\craig_alignments.json', 'b': 'C:\\Users\\Administrator\\Documents\\fs\\fs\\robex\\rob_alignments.json'}, 'preview_scaling': 0.5, 'warp_to_landmarks': False, 'augment_color': True, 'no_flip': False, 'pingpong': False, 'snapshot_interval': 25000, 'training_size': 256, 'no_logs': False, 'mask_type': None, 'coverage_ratio': 0.6875}, landmarks: False, config: {'coverage': 68.75, 'mask_type': None, 'mask_blur': False, 'icnr_init': False, 'conv_aware_init': False, 'subpixel_upscaling': False, 'reflect_padding': False, 'penalized_mask_loss': True, 'loss_function': 'mae', 'learning_rate': 5e-05, '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})
09/14/2019 21:16:24 MainProcess     training_0      training_data   set_mask_class            DEBUG    Mask class: None
09/14/2019 21:16:24 MainProcess     training_0      training_data   __init__                  DEBUG    Initializing ImageManipulation: (input_size: 64, output_shapes: [(64, 64, 3)], coverage_ratio: 0.6875, config: {'coverage': 68.75, 'mask_type': None, 'mask_blur': False, 'icnr_init': False, 'conv_aware_init': False, 'subpixel_upscaling': False, 'reflect_padding': False, 'penalized_mask_loss': True, 'loss_function': 'mae', 'learning_rate': 5e-05, '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})
09/14/2019 21:16:24 MainProcess     training_0      training_data   __init__                  DEBUG    Output sizes: [64]
09/14/2019 21:16:24 MainProcess     training_0      training_data   __init__                  DEBUG    Initialized ImageManipulation
09/14/2019 21:16:24 MainProcess     training_0      training_data   __init__                  DEBUG    Initialized TrainingDataGenerator
09/14/2019 21:16:24 MainProcess     training_0      training_data   minibatch_ab              DEBUG    Queue batches: (image_count: 0, batchsize: 0, side: 'a', do_shuffle: False, is_preview, False, is_timelapse: True)
09/14/2019 21:16:24 MainProcess     training_0      multithreading  __init__                  DEBUG    Initializing BackgroundGenerator: (target: '_run', thread_count: 2)
09/14/2019 21:16:24 MainProcess     training_0      multithreading  __init__                  DEBUG    Initialized BackgroundGenerator: '_run'
09/14/2019 21:16:24 MainProcess     training_0      multithreading  start                     DEBUG    Starting thread(s): '_run'
09/14/2019 21:16:24 MainProcess     training_0      multithreading  start                     DEBUG    Starting thread 1 of 2: '_run_0'
09/14/2019 21:16:24 MainProcess     _run_0          training_data   minibatch                 DEBUG    Loading minibatch generator: (image_count: 0, side: 'a', is_display: True, do_shuffle: False)
09/14/2019 21:16:24 MainProcess     training_0      multithreading  start                     DEBUG    Starting thread 2 of 2: '_run_1'
09/14/2019 21:16:24 MainProcess     _run_1          training_data   minibatch                 DEBUG    Loading minibatch generator: (image_count: 0, side: 'a', is_display: True, do_shuffle: False)
09/14/2019 21:16:24 MainProcess     training_0      multithreading  start                     DEBUG    Started all threads '_run': 2
09/14/2019 21:16:24 MainProcess     training_0      _base           set_timelapse_feed        DEBUG    Set timelapse feed
09/14/2019 21:16:24 MainProcess     training_0      _base           set_timelapse_feed        DEBUG    Setting timelapse feed: (side: 'b', input_images: '[]', batchsize: 0)
09/14/2019 21:16:24 MainProcess     training_0      _base           load_generator            DEBUG    Loading generator: b
09/14/2019 21:16:24 MainProcess     training_0      _base           load_generator            DEBUG    input_size: 64, output_shapes: [(64, 64, 3)]
09/14/2019 21:16:24 MainProcess     training_0      training_data   __init__                  DEBUG    Initializing TrainingDataGenerator: (model_input_size: 64, model_output_shapes: [(64, 64, 3)], training_opts: {'alignments': {'a': 'C:\\Users\\Administrator\\Documents\\fs\\fs\\craigex\\craig_alignments.json', 'b': 'C:\\Users\\Administrator\\Documents\\fs\\fs\\robex\\rob_alignments.json'}, 'preview_scaling': 0.5, 'warp_to_landmarks': False, 'augment_color': True, 'no_flip': False, 'pingpong': False, 'snapshot_interval': 25000, 'training_size': 256, 'no_logs': False, 'mask_type': None, 'coverage_ratio': 0.6875}, landmarks: False, config: {'coverage': 68.75, 'mask_type': None, 'mask_blur': False, 'icnr_init': False, 'conv_aware_init': False, 'subpixel_upscaling': False, 'reflect_padding': False, 'penalized_mask_loss': True, 'loss_function': 'mae', 'learning_rate': 5e-05, '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})
09/14/2019 21:16:24 MainProcess     training_0      training_data   set_mask_class            DEBUG    Mask class: None
09/14/2019 21:16:24 MainProcess     training_0      training_data   __init__                  DEBUG    Initializing ImageManipulation: (input_size: 64, output_shapes: [(64, 64, 3)], coverage_ratio: 0.6875, config: {'coverage': 68.75, 'mask_type': None, 'mask_blur': False, 'icnr_init': False, 'conv_aware_init': False, 'subpixel_upscaling': False, 'reflect_padding': False, 'penalized_mask_loss': True, 'loss_function': 'mae', 'learning_rate': 5e-05, '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})
09/14/2019 21:16:24 MainProcess     training_0      training_data   __init__                  DEBUG    Output sizes: [64]
09/14/2019 21:16:24 MainProcess     training_0      training_data   __init__                  DEBUG    Initialized ImageManipulation
09/14/2019 21:16:24 MainProcess     training_0      training_data   __init__                  DEBUG    Initialized TrainingDataGenerator
09/14/2019 21:16:24 MainProcess     training_0      training_data   minibatch_ab              DEBUG    Queue batches: (image_count: 0, batchsize: 0, side: 'b', do_shuffle: False, is_preview, False, is_timelapse: True)
09/14/2019 21:16:24 MainProcess     training_0      multithreading  __init__                  DEBUG    Initializing BackgroundGenerator: (target: '_run', thread_count: 2)
09/14/2019 21:16:24 MainProcess     training_0      multithreading  __init__                  DEBUG    Initialized BackgroundGenerator: '_run'
09/14/2019 21:16:24 MainProcess     training_0      multithreading  start                     DEBUG    Starting thread(s): '_run'
09/14/2019 21:16:24 MainProcess     training_0      multithreading  start                     DEBUG    Starting thread 1 of 2: '_run_0'
09/14/2019 21:16:24 MainProcess     _run_0          training_data   minibatch                 DEBUG    Loading minibatch generator: (image_count: 0, side: 'b', is_display: True, do_shuffle: False)
09/14/2019 21:16:24 MainProcess     training_0      multithreading  start                     DEBUG    Starting thread 2 of 2: '_run_1'
09/14/2019 21:16:24 MainProcess     _run_1          training_data   minibatch                 DEBUG    Loading minibatch generator: (image_count: 0, side: 'b', is_display: True, do_shuffle: False)
09/14/2019 21:16:24 MainProcess     training_0      multithreading  start                     DEBUG    Started all threads '_run': 2
09/14/2019 21:16:24 MainProcess     training_0      _base           set_timelapse_feed        DEBUG    Set timelapse feed
09/14/2019 21:16:24 MainProcess     training_0      _base           setup                     DEBUG    Set up timelapse
09/14/2019 21:16:24 MainProcess     training_0      multithreading  run                       DEBUG    Error in thread (training_0): not enough values to unpack (expected 2, got 0)
09/14/2019 21:16:25 MainProcess     MainThread      train           monitor                   DEBUG    Thread error detected
09/14/2019 21:16:25 MainProcess     MainThread      train           monitor                   DEBUG    Closed Monitor
09/14/2019 21:16:25 MainProcess     MainThread      train           end_thread                DEBUG    Ending Training thread
09/14/2019 21:16:25 MainProcess     MainThread      train           end_thread                CRITICAL Error caught! Exiting...
09/14/2019 21:16:25 MainProcess     MainThread      multithreading  join                      DEBUG    Joining Threads: 'training'
09/14/2019 21:16:25 MainProcess     MainThread      multithreading  join                      DEBUG    Joining Thread: 'training_0'
09/14/2019 21:16:25 MainProcess     MainThread      multithreading  join                      ERROR    Caught exception in thread: 'training_0'
Traceback (most recent call last):
  File "C:\Users\Administrator\faceswap\lib\cli.py", line 128, in execute_script
    process.process()
  File "C:\Users\Administrator\faceswap\scripts\train.py", line 98, in process
    self.end_thread(thread, err)
  File "C:\Users\Administrator\faceswap\scripts\train.py", line 124, in end_thread
    thread.join()
  File "C:\Users\Administrator\faceswap\lib\multithreading.py", line 216, in join
    raise thread.err[1].with_traceback(thread.err[2])
  File "C:\Users\Administrator\faceswap\lib\multithreading.py", line 147, in run
    self._target(*self._args, **self._kwargs)
  File "C:\Users\Administrator\faceswap\scripts\train.py", line 149, in training
    raise err
  File "C:\Users\Administrator\faceswap\scripts\train.py", line 139, in training
    self.run_training_cycle(model, trainer)
  File "C:\Users\Administrator\faceswap\scripts\train.py", line 221, in run_training_cycle
    trainer.train_one_step(viewer, timelapse)
  File "C:\Users\Administrator\faceswap\plugins\train\trainer\_base.py", line 211, in train_one_step
    raise err
  File "C:\Users\Administrator\faceswap\plugins\train\trainer\_base.py", line 185, in train_one_step
    self.timelapse.get_sample(side, timelapse_kwargs)
  File "C:\Users\Administrator\faceswap\plugins\train\trainer\_base.py", line 614, in get_sample
    self.samples.images[side] = self.batchers[side].compile_timelapse_sample()
  File "C:\Users\Administrator\faceswap\plugins\train\trainer\_base.py", line 350, in compile_timelapse_sample
    samples, feed = batch[:2]
ValueError: not enough values to unpack (expected 2, got 0)

============ System Information ============
encoding:            cp1252
git_branch:          master
git_commits:         f8e0190 update opencv-python
gpu_cuda:            8.0
gpu_cudnn:           6.0.21
gpu_devices:         GPU_0: Tesla V100-SXM2-16GB
gpu_devices_active:  GPU_0
gpu_driver:          425.25
gpu_vram:            GPU_0: 16258MB
os_machine:          AMD64
os_platform:         Windows-10-10.0.14393-SP0
os_release:          10
py_command:          C:\Users\Administrator\faceswap\faceswap.py train -A C:/Users/Administrator/Documents/fs/fs/craigex -ala C:/Users/Administrator/Documents/fs/fs/craigex/craig_alignments.json -B C:/Users/Administrator/Documents/fs/fs/robex -alb C:/Users/Administrator/Documents/fs/fs/robex/rob_alignments.json -m C:/Users/Administrator/Documents/fs/fs/model -t original -bs 96 -it 1000000 -g 1 -s 100 -ss 25000 -tia C:/Users/Administrator/Documents/fs/fs/tl-a -tib C:/Users/Administrator/Documents/fs/fs/tl-b -to C:/Users/Administrator/Documents/fs/fs/tl -ps 50 -L INFO -gui
py_conda_version:    conda 4.7.11
py_implementation:   CPython
py_version:          3.6.9
py_virtual_env:      True
sys_cores:           8
sys_processor:       Intel64 Family 6 Model 79 Stepping 1, GenuineIntel
sys_ram:             Total: 62463MB, Available: 54533MB, Used: 7929MB, Free: 54533MB

=============== Pip Packages ===============
absl-py==0.7.1
astor==0.8.0
certifi==2019.6.16
cloudpickle==1.2.2
cycler==0.10.0
cytoolz==0.10.0
dask==2.3.0
decorator==4.4.0
fastcluster==1.1.25
ffmpy==0.2.2
gast==0.2.2
grpcio==1.16.1
h5py==2.9.0
imageio==2.5.0
imageio-ffmpeg==0.3.0
joblib==0.13.2
Keras==2.2.4
Keras-Applications==1.0.8
Keras-Preprocessing==1.1.0
kiwisolver==1.1.0
Markdown==3.1.1
matplotlib==2.2.2
mkl-fft==1.0.14
mkl-random==1.0.2
mkl-service==2.3.0
networkx==2.3
numpy==1.16.2
nvidia-ml-py3==7.352.1
olefile==0.46
opencv-python==4.1.1.26
pathlib==1.0.1
Pillow==6.1.0
protobuf==3.8.0
psutil==5.6.3
pyparsing==2.4.2
pyreadline==2.1
python-dateutil==2.8.0
pytz==2019.2
PyWavelets==1.0.3
pywin32==223
PyYAML==5.1.2
scikit-image==0.15.0
scikit-learn==0.21.2
scipy==1.3.1
six==1.12.0
tensorboard==1.14.0
tensorflow==1.14.0
tensorflow-estimator==1.14.0
termcolor==1.1.0
toolz==0.10.0
toposort==1.5
tornado==6.0.3
tqdm==4.32.1
Werkzeug==0.15.5
wincertstore==0.2
wrapt==1.11.2

============== Conda Packages ==============
# packages in environment at C:\ProgramData\Miniconda3\envs\faceswap:
#
# Name                    Version                   Build  Channel
_tflow_select             2.1.0                       gpu  
absl-py                   0.7.1                    py36_0  
astor                     0.8.0                    py36_0  
blas                      1.0                         mkl  
ca-certificates           2019.5.15                     1  
certifi                   2019.6.16                py36_1  
cloudpickle               1.2.2                      py_0  
cudatoolkit               10.0.130                      0  
cudnn                     7.6.0                cuda10.0_0  
cycler                    0.10.0           py36h009560c_0  
cytoolz                   0.10.0           py36he774522_0  
dask-core                 2.3.0                      py_0  
decorator                 4.4.0                    py36_1  
fastcluster               1.1.25          py36h830ac7b_1000    conda-forge
ffmpeg                    4.2                  h6538335_0    conda-forge
ffmpy                     0.2.2                    pypi_0    pypi
freetype                  2.9.1                ha9979f8_1  
gast                      0.2.2                    py36_0  
grpcio                    1.16.1           py36h351948d_1  
h5py                      2.9.0            py36h5e291fa_0  
hdf5                      1.10.4               h7ebc959_0  
icc_rt                    2019.0.0             h0cc432a_1  
icu                       58.2                 ha66f8fd_1  
imageio                   2.5.0                    py36_0  
imageio-ffmpeg            0.3.0                      py_0    conda-forge
intel-openmp              2019.4                      245  
joblib                    0.13.2                   py36_0  
jpeg                      9b                   hb83a4c4_2  
keras                     2.2.4                         0  
keras-applications        1.0.8                      py_0  
keras-base                2.2.4                    py36_0  
keras-preprocessing       1.1.0                      py_1  
kiwisolver                1.1.0            py36ha925a31_0  
libmklml                  2019.0.5                      0  
libpng                    1.6.37               h2a8f88b_0  
libprotobuf               3.8.0                h7bd577a_0  
libtiff                   4.0.10               hb898794_2  
markdown                  3.1.1                    py36_0  
matplotlib                2.2.2            py36had4c4a9_2  
mkl                       2019.4                      245  
mkl-service               2.3.0            py36hb782905_0  
mkl_fft                   1.0.14           py36h14836fe_0  
mkl_random                1.0.2            py36h343c172_0  
networkx                  2.3                        py_0  
numpy                     1.16.2           py36h19fb1c0_0  
numpy-base                1.16.2           py36hc3f5095_0  
nvidia-ml-py3             7.352.1                  pypi_0    pypi
olefile                   0.46                     py36_0  
opencv-python             4.1.1.26                 pypi_0    pypi
openssl                   1.1.1d               he774522_0  
pathlib                   1.0.1                    py36_1  
pillow                    6.1.0            py36hdc69c19_0  
pip                       19.2.2                   py36_0  
protobuf                  3.8.0            py36h33f27b4_0  
psutil                    5.6.3            py36he774522_0  
pyparsing                 2.4.2                      py_0  
pyqt                      5.9.2            py36h6538335_2  
pyreadline                2.1                      py36_1  
python                    3.6.9                h5500b2f_0  
python-dateutil           2.8.0                    py36_0  
pytz                      2019.2                     py_0  
pywavelets                1.0.3            py36h8c2d366_1  
pywin32                   223              py36hfa6e2cd_1  
pyyaml                    5.1.2            py36he774522_0  
qt                        5.9.7            vc14h73c81de_0  
scikit-image              0.15.0           py36ha925a31_0  
scikit-learn              0.21.2           py36h6288b17_0  
scipy                     1.3.1            py36h29ff71c_0  
setuptools                41.0.1                   py36_0  
sip                       4.19.8           py36h6538335_0  
six                       1.12.0                   py36_0  
sqlite                    3.29.0               he774522_0  
tensorboard               1.14.0           py36he3c9ec2_0  
tensorflow                1.14.0          gpu_py36h305fd99_0  
tensorflow-base           1.14.0          gpu_py36h55fc52a_0  
tensorflow-estimator      1.14.0                     py_0  
tensorflow-gpu            1.14.0               h0d30ee6_0  
termcolor                 1.1.0                    py36_1  
tk                        8.6.8                hfa6e2cd_0  
toolz                     0.10.0                     py_0  
toposort                  1.5                        py_3    conda-forge
tornado                   6.0.3            py36he774522_0  
tqdm                      4.32.1                     py_0  
vc                        14.1                 h0510ff6_4  
vs2015_runtime            14.16.27012          hf0eaf9b_0  
werkzeug                  0.15.5                     py_0  
wheel                     0.33.4                   py36_0  
wincertstore              0.2              py36h7fe50ca_0  
wrapt                     1.11.2           py36he774522_0  
xz                        5.2.4                h2fa13f4_4  
yaml                      0.1.7                hc54c509_2  
zlib                      1.2.11               h62dcd97_3  
zstd                      1.3.7                h508b16e_0  

================= Configs ==================
--------- .faceswap ---------
backend:                  nvidia

--------- convert.ini ---------

[color.color_transfer]
clip:                     True
preserve_paper:           True

[color.manual_balance]
colorspace:               HSV
balance_1:                0.0
balance_2:                0.0
balance_3:                0.0
contrast:                 0.0
brightness:               0.0

[color.match_hist]
threshold:                99.0

[mask.box_blend]
type:                     gaussian
distance:                 11.0
radius:                   5.0
passes:                   1

[mask.mask_blend]
type:                     normalized
radius:                   3.0
passes:                   4
erosion:                  0.0

[scaling.sharpen]
method:                   unsharp_mask
amount:                   150
radius:                   0.3
threshold:                5.0

[writer.ffmpeg]
container:                mp4
codec:                    libx264
crf:                      23
preset:                   medium
tune:                     none
profile:                  auto
level:                    auto

[writer.gif]
fps:                      25
loop:                     0
palettesize:              256
subrectangles:            False

[writer.opencv]
format:                   png
draw_transparent:         False
jpg_quality:              75
png_compress_level:       3

[writer.pillow]
format:                   png
draw_transparent:         False
optimize:                 False
gif_interlace:            True
jpg_quality:              75
png_compress_level:       3
tif_compression:          tiff_deflate

--------- extract.ini ---------

[detect.cv2_dnn]
confidence:               50

[detect.mtcnn]
minsize:                  20
threshold_1:              0.6
threshold_2:              0.7
threshold_3:              0.7
scalefactor:              0.709

[detect.s3fd_amd]
confidence:               50
batch-size:               8

[detect.s3fd]
confidence:               50

--------- gui.ini ---------

[global]
fullscreen:               False
tab:                      extract
options_panel_width:      30
console_panel_height:     20
font:                     default
font_size:                9

--------- train.ini ---------

[global]
coverage:                 68.75
mask_type:                none
mask_blur:                False
icnr_init:                False
conv_aware_init:          False
subpixel_upscaling:       False
reflect_padding:          False
penalized_mask_loss:      True
loss_function:            mae
learning_rate:            5e-05

[model.dfl_h128]
lowmem:                   False

[model.dfl_sae]
input_size:               128
clipnorm:                 True
architecture:             df
autoencoder_dims:         0
encoder_dims:             42
decoder_dims:             21
multiscale_decoder:       False

[model.original]
lowmem:                   False

[model.realface]
input_size:               64
output_size:              128
dense_nodes:              1536
complexity_encoder:       128
complexity_decoder:       512

[model.unbalanced]
input_size:               128
lowmem:                   False
clipnorm:                 True
nodes:                    1024
complexity_encoder:       128
complexity_decoder_a:     384
complexity_decoder_b:     512

[model.villain]
lowmem:                   False

[trainer.original]
preview_images:           14
zoom_amount:              5
rotation_range:           10
shift_range:              5
flip_chance:              50
color_lightness:          30
color_ab:                 8
color_clahe_chance:       50
color_clahe_max_size:     4```
torzdf commented 5 years ago

You've set inputs for timelapse, and nothing exists in those folders.

Setting timelapse feed: (side: 'b', input_images: '[]', batchsize: 0)