Critical Unexpected Crash: Custommaskwarning:

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Balmmaker
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Critical Unexpected Crash: Custommaskwarning:

Post by Balmmaker »

I am trying to kick off a training session but it crashes straight away. I am wondering if it has to do with tensorflow or python being the wrong version number? But I am kinda out of my league on this one. The extraction used VGG-obstructed and the global config for training also had VGG-obstructed selected, basically using the default values. Any suggestions?

Code: Select all

C:\Users\Bean\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\keras\utils\generic_utils.py:494: CustomMaskWarning: Custom mask layers require a config and must override get_config. When loading, the custom mask layer must be passed to the custom_objects argument.
warnings.warn('Custom mask layers require a config and must override '
12/04/2021 02:35:17 CRITICAL Error caught! Exiting...
12/04/2021 02:35:17 ERROR    Caught exception in thread: '_training_0'
12/04/2021 02:35:20 ERROR    Got Exception on main handler:
Traceback (most recent call last):
  File "F:\Programs\faceswap\lib\cli\launcher.py", line 182, in execute_script
    process.process()
  File "F:\Programs\faceswap\scripts\train.py", line 190, in process
    self._end_thread(thread, err)
  File "F:\Programs\faceswap\scripts\train.py", line 230, in _end_thread
    thread.join()
  File "F:\Programs\faceswap\lib\multithreading.py", line 121, in join
    raise thread.err[1].with_traceback(thread.err[2])
  File "F:\Programs\faceswap\lib\multithreading.py", line 37, in run
    self._target(*self._args, **self._kwargs)
  File "F:\Programs\faceswap\scripts\train.py", line 252, in _training
    raise err
  File "F:\Programs\faceswap\scripts\train.py", line 242, in _training
    self._run_training_cycle(model, trainer)
  File "F:\Programs\faceswap\scripts\train.py", line 327, in _run_training_cycle
    trainer.train_one_step(viewer, timelapse)
  File "F:\Programs\faceswap\plugins\train\trainer\_base.py", line 191, in train_one_step
    model_inputs, model_targets = self._feeder.get_batch()
  File "F:\Programs\faceswap\plugins\train\trainer\_base.py", line 416, in get_batch
    batch = next(self._feeds[side])
  File "F:\Programs\faceswap\lib\multithreading.py", line 156, in iterator
    self.check_and_raise_error()
  File "F:\Programs\faceswap\lib\multithreading.py", line 84, in check_and_raise_error
    raise error[1].with_traceback(error[2])
  File "F:\Programs\faceswap\lib\multithreading.py", line 37, in run
    self._target(*self._args, **self._kwargs)
  File "F:\Programs\faceswap\lib\multithreading.py", line 145, in _run
    for item in self.generator(*self._gen_args, **self._gen_kwargs):
  File "F:\Programs\faceswap\lib\training\generator.py", line 598, in _minibatch
    yield self._process_batch(img_paths, side)
  File "F:\Programs\faceswap\lib\training\generator.py", line 643, in _process_batch
    batch[..., :3] = self._processing.color_adjust(batch[..., :3])
  File "F:\Programs\faceswap\lib\training\augmentation.py", line 225, in color_adjust
    batch = self._random_clahe(batch)
  File "F:\Programs\faceswap\lib\training\augmentation.py", line 252, in _random_clahe
    batch[idx, :, :, 0] = clahe.apply(batch[idx, :, :, 0])
cv2.error: Unknown C++ exception from OpenCV code
12/04/2021 02:35:20 CRITICAL An unexpected crash has occurred. Crash report written to 'F:\Programs\faceswap\crash_report.2021.12.04.023517516205.log'. You MUST provide this file if seeking assistance. Please verify you are running the latest version of faceswap before reporting
Process exited.
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torzdf
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Re: Critical Unexpected Crash: Custommaskwarning:

Post by torzdf »

The custom mask warning is irrelevant and should be ignored (it is internal to tf.keras, but does not impact us in anyway).

The actual problem is to do with your openCV install:

Code: Select all

cv2.error: Unknown C++ exception from OpenCV code

However, ignoring this instruction means I cannot assist further:

Code: Select all

12/04/2021 02:35:20 CRITICAL An unexpected crash has occurred. Crash report written to 'F:\Programs\faceswap\crash_report.2021.12.04.023517516205.log'. You MUST provide this file if seeking assistance. Please verify you are running the latest version of faceswap before reporting
Process exited.

My word is final

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Balmmaker
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Re: Critical Unexpected Crash: Custommaskwarning:

Post by Balmmaker »

Fair enough. Here is the crash log. Ty for your patience as I really should have attached this log.

Code: Select all

12/04/2021 02:35:16 MainProcess     _training_0                    generator       __init__                       DEBUG    Initializing TrainingDataGenerator: (model_input_size: 128, model_output_shapes: [(256, 256, 3)], coverage_ratio: 0.875, color_order: bgr, augment_color: True, no_flip: False, no_warp: False, warp_to_landmarks: False, config: {'centering': 'face', 'coverage': 87.5, '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': 'vgg-obstructed', '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})
12/04/2021 02:35:16 MainProcess     _training_0                    generator       __init__                       DEBUG    Initialized TrainingDataGenerator
12/04/2021 02:35:16 MainProcess     _training_0                    generator       minibatch_ab                   DEBUG    Queue batches: (image_count: 558, batchsize: 16, side: 'a', do_shuffle: True, is_preview, False, is_timelapse: False)
12/04/2021 02:35:16 MainProcess     _training_0                    generator       _get_cache                     DEBUG    Creating cache. Side: a
12/04/2021 02:35:16 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Initializing ImageAugmentation: (batchsize: 16, is_display: False, input_size: 128, output_shapes: [(256, 256, 3)], coverage_ratio: 0.875, config: {'centering': 'face', 'coverage': 87.5, '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': 'vgg-obstructed', '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})
12/04/2021 02:35:16 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Output sizes: [256]
12/04/2021 02:35:16 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Initialized ImageAugmentation
12/04/2021 02:35:16 MainProcess     _training_0                    multithreading  __init__                       DEBUG    Initializing BackgroundGenerator: (target: '_run', thread_count: 2)
12/04/2021 02:35:16 MainProcess     _training_0                    multithreading  __init__                       DEBUG    Initialized BackgroundGenerator: '_run'
12/04/2021 02:35:16 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread(s): '_run'
12/04/2021 02:35:16 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread 1 of 2: '_run_0'
12/04/2021 02:35:16 MainProcess     _run_0                         generator       _minibatch                     DEBUG    Loading minibatch generator: (image_count: 558, side: 'a', do_shuffle: True)
12/04/2021 02:35:16 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread 2 of 2: '_run_1'
12/04/2021 02:35:16 MainProcess     _run_1                         generator       _minibatch                     DEBUG    Loading minibatch generator: (image_count: 558, side: 'a', do_shuffle: True)
12/04/2021 02:35:16 MainProcess     _training_0                    multithreading  start                          DEBUG    Started all threads '_run': 2
12/04/2021 02:35:16 MainProcess     _training_0                    _base           _load_generator                DEBUG    Loading generator
12/04/2021 02:35:16 MainProcess     _training_0                    _base           _load_generator                DEBUG    input_size: 128, output_shapes: [(256, 256, 3)]
12/04/2021 02:35:16 MainProcess     _training_0                    generator       __init__                       DEBUG    Initializing TrainingDataGenerator: (model_input_size: 128, model_output_shapes: [(256, 256, 3)], coverage_ratio: 0.875, color_order: bgr, augment_color: True, no_flip: False, no_warp: False, warp_to_landmarks: False, config: {'centering': 'face', 'coverage': 87.5, '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': 'vgg-obstructed', '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})
12/04/2021 02:35:16 MainProcess     _training_0                    generator       __init__                       DEBUG    Initialized TrainingDataGenerator
12/04/2021 02:35:16 MainProcess     _training_0                    generator       minibatch_ab                   DEBUG    Queue batches: (image_count: 6059, batchsize: 16, side: 'b', do_shuffle: True, is_preview, False, is_timelapse: False)
12/04/2021 02:35:16 MainProcess     _training_0                    generator       _get_cache                     DEBUG    Creating cache. Side: b
12/04/2021 02:35:16 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Initializing ImageAugmentation: (batchsize: 16, is_display: False, input_size: 128, output_shapes: [(256, 256, 3)], coverage_ratio: 0.875, config: {'centering': 'face', 'coverage': 87.5, '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': 'vgg-obstructed', '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})
12/04/2021 02:35:16 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Output sizes: [256]
12/04/2021 02:35:16 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Initialized ImageAugmentation
12/04/2021 02:35:16 MainProcess     _training_0                    multithreading  __init__                       DEBUG    Initializing BackgroundGenerator: (target: '_run', thread_count: 2)
12/04/2021 02:35:16 MainProcess     _training_0                    multithreading  __init__                       DEBUG    Initialized BackgroundGenerator: '_run'
12/04/2021 02:35:16 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread(s): '_run'
12/04/2021 02:35:16 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread 1 of 2: '_run_0'
12/04/2021 02:35:16 MainProcess     _run_0                         generator       _minibatch                     DEBUG    Loading minibatch generator: (image_count: 6059, side: 'b', do_shuffle: True)
12/04/2021 02:35:16 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread 2 of 2: '_run_1'
12/04/2021 02:35:16 MainProcess     _run_1                         generator       _minibatch                     DEBUG    Loading minibatch generator: (image_count: 6059, side: 'b', do_shuffle: True)
12/04/2021 02:35:16 MainProcess     _training_0                    multithreading  start                          DEBUG    Started all threads '_run': 2
12/04/2021 02:35:16 MainProcess     _training_0                    _base           _set_preview_feed              DEBUG    Setting preview feed: (side: 'a')
12/04/2021 02:35:16 MainProcess     _training_0                    _base           _load_generator                DEBUG    Loading generator
12/04/2021 02:35:16 MainProcess     _training_0                    _base           _load_generator                DEBUG    input_size: 128, output_shapes: [(256, 256, 3)]
12/04/2021 02:35:16 MainProcess     _training_0                    generator       __init__                       DEBUG    Initializing TrainingDataGenerator: (model_input_size: 128, model_output_shapes: [(256, 256, 3)], coverage_ratio: 0.875, color_order: bgr, augment_color: True, no_flip: False, no_warp: False, warp_to_landmarks: False, config: {'centering': 'face', 'coverage': 87.5, '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': 'vgg-obstructed', '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})
12/04/2021 02:35:16 MainProcess     _training_0                    generator       __init__                       DEBUG    Initialized TrainingDataGenerator
12/04/2021 02:35:16 MainProcess     _training_0                    generator       minibatch_ab                   DEBUG    Queue batches: (image_count: 558, batchsize: 14, side: 'a', do_shuffle: True, is_preview, True, is_timelapse: False)
12/04/2021 02:35:16 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Initializing ImageAugmentation: (batchsize: 14, is_display: True, input_size: 128, output_shapes: [(256, 256, 3)], coverage_ratio: 0.875, config: {'centering': 'face', 'coverage': 87.5, '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': 'vgg-obstructed', '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})
12/04/2021 02:35:16 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Output sizes: [256]
12/04/2021 02:35:16 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Initialized ImageAugmentation
12/04/2021 02:35:16 MainProcess     _training_0                    multithreading  __init__                       DEBUG    Initializing BackgroundGenerator: (target: '_run', thread_count: 2)
12/04/2021 02:35:16 MainProcess     _training_0                    multithreading  __init__                       DEBUG    Initialized BackgroundGenerator: '_run'
12/04/2021 02:35:16 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread(s): '_run'
12/04/2021 02:35:16 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread 1 of 2: '_run_0'
12/04/2021 02:35:16 MainProcess     _run_0                         generator       _minibatch                     DEBUG    Loading minibatch generator: (image_count: 558, side: 'a', do_shuffle: True)
12/04/2021 02:35:16 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread 2 of 2: '_run_1'
12/04/2021 02:35:16 MainProcess     _run_1                         generator       _minibatch                     DEBUG    Loading minibatch generator: (image_count: 558, side: 'a', do_shuffle: True)
12/04/2021 02:35:16 MainProcess     _training_0                    multithreading  start                          DEBUG    Started all threads '_run': 2
12/04/2021 02:35:16 MainProcess     _training_0                    _base           _set_preview_feed              DEBUG    Setting preview feed: (side: 'b')
12/04/2021 02:35:16 MainProcess     _training_0                    _base           _load_generator                DEBUG    Loading generator
12/04/2021 02:35:16 MainProcess     _training_0                    _base           _load_generator                DEBUG    input_size: 128, output_shapes: [(256, 256, 3)]
12/04/2021 02:35:16 MainProcess     _training_0                    generator       __init__                       DEBUG    Initializing TrainingDataGenerator: (model_input_size: 128, model_output_shapes: [(256, 256, 3)], coverage_ratio: 0.875, color_order: bgr, augment_color: True, no_flip: False, no_warp: False, warp_to_landmarks: False, config: {'centering': 'face', 'coverage': 87.5, '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': 'vgg-obstructed', '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})
12/04/2021 02:35:16 MainProcess     _training_0                    generator       __init__                       DEBUG    Initialized TrainingDataGenerator
12/04/2021 02:35:16 MainProcess     _training_0                    generator       minibatch_ab                   DEBUG    Queue batches: (image_count: 6059, batchsize: 14, side: 'b', do_shuffle: True, is_preview, True, is_timelapse: False)
12/04/2021 02:35:16 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Initializing ImageAugmentation: (batchsize: 14, is_display: True, input_size: 128, output_shapes: [(256, 256, 3)], coverage_ratio: 0.875, config: {'centering': 'face', 'coverage': 87.5, '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': 'vgg-obstructed', '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})
12/04/2021 02:35:16 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Output sizes: [256]
12/04/2021 02:35:16 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Initialized ImageAugmentation
12/04/2021 02:35:16 MainProcess     _training_0                    multithreading  __init__                       DEBUG    Initializing BackgroundGenerator: (target: '_run', thread_count: 2)
12/04/2021 02:35:16 MainProcess     _training_0                    multithreading  __init__                       DEBUG    Initialized BackgroundGenerator: '_run'
12/04/2021 02:35:16 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread(s): '_run'
12/04/2021 02:35:16 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread 1 of 2: '_run_0'
12/04/2021 02:35:16 MainProcess     _run_0                         generator       _minibatch                     DEBUG    Loading minibatch generator: (image_count: 6059, side: 'b', do_shuffle: True)
12/04/2021 02:35:16 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread 2 of 2: '_run_1'
12/04/2021 02:35:16 MainProcess     _run_1                         generator       _minibatch                     DEBUG    Loading minibatch generator: (image_count: 6059, side: 'b', do_shuffle: True)
12/04/2021 02:35:16 MainProcess     _training_0                    multithreading  start                          DEBUG    Started all threads '_run': 2
12/04/2021 02:35:16 MainProcess     _training_0                    _base           _set_preview_feed              DEBUG    Set preview feed. Batchsize: 14
12/04/2021 02:35:16 MainProcess     _training_0                    _base           __init__                       DEBUG    Initialized _Feeder:
12/04/2021 02:35:16 MainProcess     _training_0                    _base           _set_tensorboard               DEBUG    Enabling TensorBoard Logging
12/04/2021 02:35:16 MainProcess     _training_0                    _base           _set_tensorboard               DEBUG    Setting up TensorBoard Logging
12/04/2021 02:35:16 MainProcess     _run_0                         generator       _validate_version              DEBUG    Setting initial extract version: 2.2
12/04/2021 02:35:16 MainProcess     _run_0                         augmentation    initialize                     DEBUG    Initializing constants. training_size: 96
12/04/2021 02:35:16 MainProcess     _run_0                         augmentation    initialize                     DEBUG    Initialized constants: {'clahe_base_contrast': 0, 'tgt_slices': slice(6, 90, None), 'warp_mapx': '[[[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]\n\n [[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]\n\n [[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]\n\n [[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]\n\n [[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]\n\n [[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]\n\n [[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]\n\n [[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]\n\n [[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]\n\n [[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]\n\n [[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]\n\n [[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]\n\n [[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]\n\n [[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]\n\n [[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]\n\n [[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]]', 'warp_mapy': '[[[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]\n\n [[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]\n\n [[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]\n\n [[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]\n\n [[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]\n\n [[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]\n\n [[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]\n\n [[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]\n\n [[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]\n\n [[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]\n\n [[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]\n\n [[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]\n\n [[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]\n\n [[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]\n\n [[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]\n\n [[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]]', 'warp_pad': 160, 'warp_slices': slice(16, -16, None), 'warp_lm_edge_anchors': '[[[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]\n\n [[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]\n\n [[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]\n\n [[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]\n\n [[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]\n\n [[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]\n\n [[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]\n\n [[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]\n\n [[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]\n\n [[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]\n\n [[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]\n\n [[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]\n\n [[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]\n\n [[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]\n\n [[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]\n\n [[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]]', '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  [93. 93. 93. ... 93. 93. 93.]\n  [94. 94. 94. ... 94. 94. 94.]\n  [95. 95. 95. ... 95. 95. 95.]]\n\n [[ 0.  1.  2. ... 93. 94. 95.]\n  [ 0.  1.  2. ... 93. 94. 95.]\n  [ 0.  1.  2. ... 93. 94. 95.]\n  ...\n  [ 0.  1.  2. ... 93. 94. 95.]\n  [ 0.  1.  2. ... 93. 94. 95.]\n  [ 0.  1.  2. ... 93. 94. 95.]]]'}
12/04/2021 02:35:16 MainProcess     _run_0                         generator       _validate_version              DEBUG    Setting initial extract version: 2.2
12/04/2021 02:35:17 MainProcess     _run_0                         augmentation    initialize                     DEBUG    Initializing constants. training_size: 96
12/04/2021 02:35:17 MainProcess     _run_0                         augmentation    initialize                     DEBUG    Initialized constants: {'clahe_base_contrast': 0, 'tgt_slices': slice(6, 90, None), 'warp_mapx': '[[[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]\n\n [[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]\n\n [[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]\n\n [[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]\n\n [[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]\n\n [[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]\n\n [[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]\n\n [[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]\n\n [[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]\n\n [[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]\n\n [[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]\n\n [[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]\n\n [[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]\n\n [[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]\n\n [[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]\n\n [[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]]', 'warp_mapy': '[[[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]\n\n [[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]\n\n [[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]\n\n [[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]\n\n [[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]\n\n [[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]\n\n [[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]\n\n [[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]\n\n [[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]\n\n [[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]\n\n [[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]\n\n [[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]\n\n [[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]\n\n [[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]\n\n [[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]\n\n [[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]]', 'warp_pad': 160, 'warp_slices': slice(16, -16, None), 'warp_lm_edge_anchors': '[[[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]\n\n [[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]\n\n [[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]\n\n [[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]\n\n [[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]\n\n [[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]\n\n [[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]\n\n [[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]\n\n [[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]\n\n [[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]\n\n [[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]\n\n [[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]\n\n [[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]\n\n [[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]\n\n [[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]\n\n [[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]]', '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  [93. 93. 93. ... 93. 93. 93.]\n  [94. 94. 94. ... 94. 94. 94.]\n  [95. 95. 95. ... 95. 95. 95.]]\n\n [[ 0.  1.  2. ... 93. 94. 95.]\n  [ 0.  1.  2. ... 93. 94. 95.]\n  [ 0.  1.  2. ... 93. 94. 95.]\n  ...\n  [ 0.  1.  2. ... 93. 94. 95.]\n  [ 0.  1.  2. ... 93. 94. 95.]\n  [ 0.  1.  2. ... 93. 94. 95.]]]'}
12/04/2021 02:35:17 MainProcess     _run_0                         multithreading  run                            DEBUG    Error in thread (_run_0): Unknown C++ exception from OpenCV code
12/04/2021 02:35:17 MainProcess     _run_0                         multithreading  run                            DEBUG    Error in thread (_run_0): Unknown C++ exception from OpenCV code
12/04/2021 02:35:17 MainProcess     _training_0                    _base           _set_tensorboard               VERBOSE  Enabled TensorBoard Logging
12/04/2021 02:35:17 MainProcess     _training_0                    _base           __init__                       DEBUG    Initializing _Samples: model: '<plugins.train.model.realface.Model object at 0x0000014668C0E310>', coverage_ratio: 0.875)
12/04/2021 02:35:17 MainProcess     _training_0                    _base           __init__                       DEBUG    Initialized _Samples
12/04/2021 02:35:17 MainProcess     _training_0                    _base           __init__                       DEBUG    Initializing _Timelapse: model: <plugins.train.model.realface.Model object at 0x0000014668C0E310>, coverage_ratio: 0.875, image_count: 14, feeder: '<plugins.train.trainer._base._Feeder object at 0x000001460914C8E0>', image_paths: 2)
12/04/2021 02:35:17 MainProcess     _training_0                    _base           __init__                       DEBUG    Initializing _Samples: model: '<plugins.train.model.realface.Model object at 0x0000014668C0E310>', coverage_ratio: 0.875)
12/04/2021 02:35:17 MainProcess     _training_0                    _base           __init__                       DEBUG    Initialized _Samples
12/04/2021 02:35:17 MainProcess     _training_0                    _base           __init__                       DEBUG    Initialized _Timelapse
12/04/2021 02:35:17 MainProcess     _training_0                    _base           __init__                       DEBUG    Initialized Trainer
12/04/2021 02:35:17 MainProcess     _training_0                    train           _load_trainer                  DEBUG    Loaded Trainer
12/04/2021 02:35:17 MainProcess     _training_0                    train           _run_training_cycle            DEBUG    Running Training Cycle
12/04/2021 02:35:17 MainProcess     _training_0                    multithreading  check_and_raise_error          DEBUG    Thread error caught: [(<class 'cv2.error'>, error('Unknown C++ exception from OpenCV code'), <traceback object at 0x000001465CE58840>)]
12/04/2021 02:35:17 MainProcess     _training_0                    multithreading  run                            DEBUG    Error in thread (_training_0): Unknown C++ exception from OpenCV code
12/04/2021 02:35:17 MainProcess     _run_1                         multithreading  run                            DEBUG    Error in thread (_run_1): Unknown C++ exception from OpenCV code
12/04/2021 02:35:17 MainProcess     _run_0                         augmentation    initialize                     DEBUG    Initializing constants. training_size: 96
12/04/2021 02:35:17 MainProcess     _run_0                         augmentation    initialize                     DEBUG    Initialized constants: {'clahe_base_contrast': 0, 'tgt_slices': slice(6, 90, None), 'warp_mapx': '[[[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]\n\n [[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]\n\n [[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]\n\n [[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]\n\n [[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]\n\n [[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]\n\n [[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]\n\n [[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]\n\n [[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]\n\n [[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]\n\n [[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]\n\n [[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]\n\n [[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]\n\n [[ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]\n  [ 6. 27. 48. 69. 90.]]]', 'warp_mapy': '[[[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]\n\n [[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]\n\n [[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]\n\n [[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]\n\n [[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]\n\n [[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]\n\n [[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]\n\n [[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]\n\n [[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]\n\n [[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]\n\n [[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]\n\n [[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]\n\n [[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]\n\n [[ 6.  6.  6.  6.  6.]\n  [27. 27. 27. 27. 27.]\n  [48. 48. 48. 48. 48.]\n  [69. 69. 69. 69. 69.]\n  [90. 90. 90. 90. 90.]]]', 'warp_pad': 160, 'warp_slices': slice(16, -16, None), 'warp_lm_edge_anchors': '[[[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]\n\n [[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]\n\n [[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]\n\n [[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]\n\n [[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]\n\n [[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]\n\n [[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]\n\n [[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]\n\n [[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]\n\n [[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]\n\n [[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]\n\n [[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]\n\n [[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]\n\n [[ 0  0]\n  [ 0 95]\n  [95 95]\n  [95  0]\n  [47  0]\n  [47 95]\n  [95 47]\n  [ 0 47]]]', '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  [93. 93. 93. ... 93. 93. 93.]\n  [94. 94. 94. ... 94. 94. 94.]\n  [95. 95. 95. ... 95. 95. 95.]]\n\n [[ 0.  1.  2. ... 93. 94. 95.]\n  [ 0.  1.  2. ... 93. 94. 95.]\n  [ 0.  1.  2. ... 93. 94. 95.]\n  ...\n  [ 0.  1.  2. ... 93. 94. 95.]\n  [ 0.  1.  2. ... 93. 94. 95.]\n  [ 0.  1.  2. ... 93. 94. 95.]]]'}
12/04/2021 02:35:17 MainProcess     MainThread                     train           _monitor                       DEBUG    Thread error detected
12/04/2021 02:35:17 MainProcess     MainThread                     train           _monitor                       DEBUG    Closed Monitor
12/04/2021 02:35:17 MainProcess     MainThread                     train           _end_thread                    DEBUG    Ending Training thread
12/04/2021 02:35:17 MainProcess     MainThread                     train           _end_thread                    CRITICAL Error caught! Exiting...
12/04/2021 02:35:17 MainProcess     MainThread                     multithreading  join                           DEBUG    Joining Threads: '_training'
12/04/2021 02:35:17 MainProcess     MainThread                     multithreading  join                           DEBUG    Joining Thread: '_training_0'
12/04/2021 02:35:17 MainProcess     MainThread                     multithreading  join                           ERROR    Caught exception in thread: '_training_0'
Traceback (most recent call last):
  File "F:\Programs\faceswap\lib\cli\launcher.py", line 182, in execute_script
    process.process()
  File "F:\Programs\faceswap\scripts\train.py", line 190, in process
    self._end_thread(thread, err)
  File "F:\Programs\faceswap\scripts\train.py", line 230, in _end_thread
    thread.join()
  File "F:\Programs\faceswap\lib\multithreading.py", line 121, in join
    raise thread.err[1].with_traceback(thread.err[2])
  File "F:\Programs\faceswap\lib\multithreading.py", line 37, in run
    self._target(*self._args, **self._kwargs)
  File "F:\Programs\faceswap\scripts\train.py", line 252, in _training
    raise err
  File "F:\Programs\faceswap\scripts\train.py", line 242, in _training
    self._run_training_cycle(model, trainer)
  File "F:\Programs\faceswap\scripts\train.py", line 327, in _run_training_cycle
    trainer.train_one_step(viewer, timelapse)
  File "F:\Programs\faceswap\plugins\train\trainer\_base.py", line 191, in train_one_step
    model_inputs, model_targets = self._feeder.get_batch()
  File "F:\Programs\faceswap\plugins\train\trainer\_base.py", line 416, in get_batch
    batch = next(self._feeds[side])
  File "F:\Programs\faceswap\lib\multithreading.py", line 156, in iterator
    self.check_and_raise_error()
  File "F:\Programs\faceswap\lib\multithreading.py", line 84, in check_and_raise_error
    raise error[1].with_traceback(error[2])
  File "F:\Programs\faceswap\lib\multithreading.py", line 37, in run
    self._target(*self._args, **self._kwargs)
  File "F:\Programs\faceswap\lib\multithreading.py", line 145, in _run
    for item in self.generator(*self._gen_args, **self._gen_kwargs):
  File "F:\Programs\faceswap\lib\training\generator.py", line 598, in _minibatch
    yield self._process_batch(img_paths, side)
  File "F:\Programs\faceswap\lib\training\generator.py", line 643, in _process_batch
    batch[..., :3] = self._processing.color_adjust(batch[..., :3])
  File "F:\Programs\faceswap\lib\training\augmentation.py", line 225, in color_adjust
    batch = self._random_clahe(batch)
  File "F:\Programs\faceswap\lib\training\augmentation.py", line 252, in _random_clahe
    batch[idx, :, :, 0] = clahe.apply(batch[idx, :, :, 0])
cv2.error: Unknown C++ exception from OpenCV code

============ System Information ============
encoding:            cp1252
git_branch:          master
git_commits:         8b7b125 Revert "Bugfix -Weights freezing/loading for dfl-sae"
gpu_cuda:            No global version found. Check Conda packages for Conda Cuda
gpu_cudnn:           No global version found. Check Conda packages for Conda cuDNN
gpu_devices:         GPU_0: NVIDIA GeForce RTX 2080
gpu_devices_active:  GPU_0
gpu_driver:          496.76
gpu_vram:            GPU_0: 8192MB
os_machine:          AMD64
os_platform:         Windows-10-10.0.19042-SP0
os_release:          10
py_command:          F:\Programs\faceswap\faceswap.py train -A F:/Media/Faceswap/Extract Output/Melena 128 Training -B F:/Media/Faceswap/Extract Output/Sandra 128 -m F:/Media/Faceswap/Extract Output/Training Data/128 Melena to Sandra -t realface -bs 16 -it 1000000 -s 150 -ss 25000 -ps 100 -L INFO -gui
py_conda_version:    conda 4.10.3
py_implementation:   CPython
py_version:          3.8.12
py_virtual_env:      True
sys_cores:           16
sys_processor:       AMD64 Family 23 Model 8 Stepping 2, AuthenticAMD
sys_ram:             Total: 32714MB, Available: 18160MB, Used: 14554MB, Free: 18160MB

=============== Pip Packages ===============
absl-py==0.15.0
astunparse==1.6.3
cachetools==4.2.4
certifi==2021.10.8
charset-normalizer==2.0.7
clang==5.0
cycler==0.10.0
fastcluster==1.1.26
ffmpy==0.2.3
flatbuffers==1.12
gast==0.4.0
google-auth==1.35.0
google-auth-oauthlib==0.4.6
google-pasta==0.2.0
grpcio==1.41.1
h5py==3.1.0
idna==3.3
imageio @ file:///tmp/build/80754af9/imageio_1617700267927/work
imageio-ffmpeg @ file:///home/conda/feedstock_root/build_artifacts/imageio-ffmpeg_1629987409325/work
joblib @ file:///tmp/build/80754af9/joblib_1635411271373/work
keras==2.6.0
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-py==11.495.46
oauthlib==3.1.1
olefile @ file:///Users/ktietz/demo/mc3/conda-bld/olefile_1629805411829/work
opencv-python==4.5.4.58
opt-einsum==3.3.0
Pillow==8.4.0
protobuf==3.19.1
psutil @ file:///C:/ci/psutil_1612298324802/work
pyasn1==0.4.8
pyasn1-modules==0.2.8
pyparsing @ file:///tmp/build/80754af9/pyparsing_1635766073266/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_1635188126022/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==2.6.0
tensorflow-gpu==2.6.2
termcolor==1.1.0
threadpoolctl @ file:///Users/ktietz/demo/mc3/conda-bld/threadpoolctl_1629802263681/work
tornado @ file:///C:/ci/tornado_1606942392901/work
tqdm @ file:///tmp/build/80754af9/tqdm_1635330843403/work
typing-extensions==3.7.4.3
urllib3==1.26.7
Werkzeug==2.0.2
wincertstore==0.2
wrapt==1.12.1

============== Conda Packages ==============
# packages in environment at C:\Users\Bean\MiniConda3\envs\faceswap:
#
# Name                    Version                   Build  Channel
absl-py                   0.15.0                   pypi_0    pypi
astunparse                1.6.3                    pypi_0    pypi
blas                      1.0                         mkl  
ca-certificates 2021.10.8 h5b45459_0 conda-forge cachetools 4.2.4 pypi_0 pypi certifi 2021.10.8 py38haa244fe_1 conda-forge charset-normalizer 2.0.7 pypi_0 pypi clang 5.0 pypi_0 pypi cudatoolkit 11.2.2 h933977f_9 conda-forge cudnn 8.1.0.77 h3e0f4f4_0 conda-forge cycler 0.10.0 py38_0
fastcluster 1.1.26 py38h251f6bf_2 conda-forge ffmpeg 4.3.1 ha925a31_0 conda-forge ffmpy 0.2.3 pypi_0 pypi flatbuffers 1.12 pypi_0 pypi freetype 2.10.4 hd328e21_0
gast 0.4.0 pypi_0 pypi git 2.32.0 haa95532_1
google-auth 1.35.0 pypi_0 pypi google-auth-oauthlib 0.4.6 pypi_0 pypi google-pasta 0.2.0 pypi_0 pypi grpcio 1.41.1 pypi_0 pypi h5py 3.1.0 pypi_0 pypi icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha925a31_3
idna 3.3 pypi_0 pypi imageio 2.9.0 pyhd3eb1b0_0
imageio-ffmpeg 0.4.5 pyhd8ed1ab_0 conda-forge intel-openmp 2021.4.0 haa95532_3556
joblib 1.1.0 pyhd3eb1b0_0
jpeg 9d h2bbff1b_0
keras 2.6.0 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
libwebp 1.2.0 h2bbff1b_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-py 11.495.46 pypi_0 pypi oauthlib 3.1.1 pypi_0 pypi olefile 0.46 pyhd3eb1b0_0
opencv-python 4.5.4.58 pypi_0 pypi openssl 1.1.1l h8ffe710_0 conda-forge opt-einsum 3.3.0 pypi_0 pypi pillow 8.4.0 py38hd45dc43_0
pip 21.0.1 py38haa95532_0
protobuf 3.19.1 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 3.0.4 pyhd3eb1b0_0
pyqt 5.9.2 py38ha925a31_4
python 3.8.12 h6244533_0
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 1.0.1 py38hf11a4ad_0
scipy 1.6.2 py38h14eb087_0
setuptools 58.0.4 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 2.6.0 pypi_0 pypi tensorflow-gpu 2.6.2 pypi_0 pypi termcolor 1.1.0 pypi_0 pypi threadpoolctl 2.2.0 pyh0d69192_0
tk 8.6.11 h2bbff1b_0
tornado 6.1 py38h2bbff1b_0
tqdm 4.62.3 pyhd3eb1b0_1
typing-extensions 3.7.4.3 pypi_0 pypi urllib3 1.26.7 pypi_0 pypi vc 14.2 h21ff451_1
vs2015_runtime 14.27.29016 h5e58377_2
werkzeug 2.0.2 pypi_0 pypi wheel 0.37.0 pyhd3eb1b0_1
wincertstore 0.2 py38haa95532_2
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: True [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: 87.5 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: vgg-obstructed 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: 128 output_size: 256 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
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torzdf
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Re: Critical Unexpected Crash: Custommaskwarning:

Post by torzdf »

Ok, on the face of it there is no obvious issue with your setup....

The problem is an internal openCV error (application we use for Computer Vision) relating to color augmentation whilst training. I have a vague recollection of someone having this issue before in our Discord server. Unfortunately I do not have a solution to this issue, I only have a workaround, and that is to disable CLAHE augmentation.

You can do this by setting the following setting to 0:

Screenshot_20211206_131939.png
Screenshot_20211206_131939.png (75.89 KiB) Viewed 2435 times

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Balmmaker
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Re: Critical Unexpected Crash: Custommaskwarning:

Post by Balmmaker »

You are waaaay smarter than the average bear, boo boo! That seemed to work and the training is now running! TY TY!

(How you remembered that was awesome.) Thanks again.

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