CRITICAL Error caught! Exiting...ERROR Caught exception in thread: '_training_0'

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darkfs516
Posts: 1
Joined: Fri Jul 16, 2021 1:41 pm

CRITICAL Error caught! Exiting...ERROR Caught exception in thread: '_training_0'

Post by darkfs516 »

Specs :
Processor: AMD Ryzen 7 3700X with NVIDIA GeForce RTX2070 SUPER

Error message :
.
.
.
07/16/2021 21:57:22 INFO Loading Trainer from Original plugin...
07/16/2021 21:57:24 CRITICAL Error caught! Exiting...
07/16/2021 21:57:24 ERROR Caught exception in thread: '_training_0'
07/16/2021 21:57:26 ERROR Got Exception on main handler:
.

.

Code: Select all

07/16/2021 21:57:22 MainProcess     _training_0                    generator       __init__                       DEBUG    Initialized TrainingDataGenerator
07/16/2021 21:57:22 MainProcess     _training_0                    generator       minibatch_ab                   DEBUG    Queue batches: (image_count: 556, batchsize: 12, side: 'a', do_shuffle: True, is_preview, False, is_timelapse: False)
07/16/2021 21:57:22 MainProcess     _training_0                    generator       _get_cache                     DEBUG    Creating cache. Side: a
07/16/2021 21:57:22 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Initializing ImageAugmentation: (batchsize: 12, is_display: False, input_size: 64, output_shapes: [(64, 64, 3)], coverage_ratio: 0.8234999999999999, config: {'centering': 'face', 'coverage': 82.35, 'icnr_init': False, 'conv_aware_init': False, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'reflect_padding': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'mask_loss_function': 'mse', 'l2_reg_term': 100, 'eye_multiplier': 3, 'mouth_multiplier': 2, 'penalized_mask_loss': True, 'mask_type': 'extended', 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': False, 'preview_images': 14, 'zoom_amount': 5, 'rotation_range': 10, 'shift_range': 5, 'flip_chance': 50, 'color_lightness': 30, 'color_ab': 8, 'color_clahe_chance': 50, 'color_clahe_max_size': 4})
07/16/2021 21:57:22 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Output sizes: [64]
07/16/2021 21:57:22 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Initialized ImageAugmentation
07/16/2021 21:57:22 MainProcess     _training_0                    multithreading  __init__                       DEBUG    Initializing BackgroundGenerator: (target: '_run', thread_count: 2)
07/16/2021 21:57:22 MainProcess     _training_0                    multithreading  __init__                       DEBUG    Initialized BackgroundGenerator: '_run'
07/16/2021 21:57:22 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread(s): '_run'
07/16/2021 21:57:22 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread 1 of 2: '_run_0'
07/16/2021 21:57:22 MainProcess     _run_0                         generator       _minibatch                     DEBUG    Loading minibatch generator: (image_count: 556, side: 'a', do_shuffle: True)
07/16/2021 21:57:22 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread 2 of 2: '_run_1'
07/16/2021 21:57:22 MainProcess     _run_1                         generator       _minibatch                     DEBUG    Loading minibatch generator: (image_count: 556, side: 'a', do_shuffle: True)
07/16/2021 21:57:22 MainProcess     _training_0                    multithreading  start                          DEBUG    Started all threads '_run': 2
07/16/2021 21:57:22 MainProcess     _training_0                    _base           _load_generator                DEBUG    Loading generator
07/16/2021 21:57:22 MainProcess     _training_0                    _base           _load_generator                DEBUG    input_size: 64, output_shapes: [(64, 64, 3)]
07/16/2021 21:57:22 MainProcess     _training_0                    generator       __init__                       DEBUG    Initializing TrainingDataGenerator: (model_input_size: 64, model_output_shapes: [(64, 64, 3)], coverage_ratio: 0.8234999999999999, color_order: bgr, augment_color: True, no_flip: False, no_warp: False, warp_to_landmarks: False, config: {'centering': 'face', 'coverage': 82.35, 'icnr_init': False, 'conv_aware_init': False, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'reflect_padding': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'mask_loss_function': 'mse', 'l2_reg_term': 100, 'eye_multiplier': 3, 'mouth_multiplier': 2, 'penalized_mask_loss': True, 'mask_type': 'extended', 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': False, 'preview_images': 14, 'zoom_amount': 5, 'rotation_range': 10, 'shift_range': 5, 'flip_chance': 50, 'color_lightness': 30, 'color_ab': 8, 'color_clahe_chance': 50, 'color_clahe_max_size': 4})
07/16/2021 21:57:22 MainProcess     _training_0                    generator       __init__                       DEBUG    Initialized TrainingDataGenerator
07/16/2021 21:57:22 MainProcess     _training_0                    generator       minibatch_ab                   DEBUG    Queue batches: (image_count: 179, batchsize: 12, side: 'b', do_shuffle: True, is_preview, False, is_timelapse: False)
07/16/2021 21:57:22 MainProcess     _training_0                    generator       _get_cache                     DEBUG    Creating cache. Side: b
07/16/2021 21:57:22 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Initializing ImageAugmentation: (batchsize: 12, is_display: False, input_size: 64, output_shapes: [(64, 64, 3)], coverage_ratio: 0.8234999999999999, config: {'centering': 'face', 'coverage': 82.35, 'icnr_init': False, 'conv_aware_init': False, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'reflect_padding': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'mask_loss_function': 'mse', 'l2_reg_term': 100, 'eye_multiplier': 3, 'mouth_multiplier': 2, 'penalized_mask_loss': True, 'mask_type': 'extended', 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': False, 'preview_images': 14, 'zoom_amount': 5, 'rotation_range': 10, 'shift_range': 5, 'flip_chance': 50, 'color_lightness': 30, 'color_ab': 8, 'color_clahe_chance': 50, 'color_clahe_max_size': 4})
07/16/2021 21:57:22 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Output sizes: [64]
07/16/2021 21:57:22 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Initialized ImageAugmentation
07/16/2021 21:57:22 MainProcess     _training_0                    multithreading  __init__                       DEBUG    Initializing BackgroundGenerator: (target: '_run', thread_count: 2)
07/16/2021 21:57:22 MainProcess     _training_0                    multithreading  __init__                       DEBUG    Initialized BackgroundGenerator: '_run'
07/16/2021 21:57:22 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread(s): '_run'
07/16/2021 21:57:22 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread 1 of 2: '_run_0'
07/16/2021 21:57:22 MainProcess     _run_0                         generator       _minibatch                     DEBUG    Loading minibatch generator: (image_count: 179, side: 'b', do_shuffle: True)
07/16/2021 21:57:22 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread 2 of 2: '_run_1'
07/16/2021 21:57:22 MainProcess     _run_1                         generator       _minibatch                     DEBUG    Loading minibatch generator: (image_count: 179, side: 'b', do_shuffle: True)
07/16/2021 21:57:22 MainProcess     _training_0                    multithreading  start                          DEBUG    Started all threads '_run': 2
07/16/2021 21:57:22 MainProcess     _training_0                    _base           _set_preview_feed              DEBUG    Setting preview feed: (side: 'a')
07/16/2021 21:57:22 MainProcess     _training_0                    _base           _load_generator                DEBUG    Loading generator
07/16/2021 21:57:22 MainProcess     _training_0                    _base           _load_generator                DEBUG    input_size: 64, output_shapes: [(64, 64, 3)]
07/16/2021 21:57:22 MainProcess     _training_0                    generator       __init__                       DEBUG    Initializing TrainingDataGenerator: (model_input_size: 64, model_output_shapes: [(64, 64, 3)], coverage_ratio: 0.8234999999999999, color_order: bgr, augment_color: True, no_flip: False, no_warp: False, warp_to_landmarks: False, config: {'centering': 'face', 'coverage': 82.35, 'icnr_init': False, 'conv_aware_init': False, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'reflect_padding': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'mask_loss_function': 'mse', 'l2_reg_term': 100, 'eye_multiplier': 3, 'mouth_multiplier': 2, 'penalized_mask_loss': True, 'mask_type': 'extended', 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': False, 'preview_images': 14, 'zoom_amount': 5, 'rotation_range': 10, 'shift_range': 5, 'flip_chance': 50, 'color_lightness': 30, 'color_ab': 8, 'color_clahe_chance': 50, 'color_clahe_max_size': 4})
07/16/2021 21:57:22 MainProcess     _training_0                    generator       __init__                       DEBUG    Initialized TrainingDataGenerator
07/16/2021 21:57:22 MainProcess     _training_0                    generator       minibatch_ab                   DEBUG    Queue batches: (image_count: 556, batchsize: 14, side: 'a', do_shuffle: True, is_preview, True, is_timelapse: False)
07/16/2021 21:57:22 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Initializing ImageAugmentation: (batchsize: 14, is_display: True, input_size: 64, output_shapes: [(64, 64, 3)], coverage_ratio: 0.8234999999999999, config: {'centering': 'face', 'coverage': 82.35, 'icnr_init': False, 'conv_aware_init': False, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'reflect_padding': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'mask_loss_function': 'mse', 'l2_reg_term': 100, 'eye_multiplier': 3, 'mouth_multiplier': 2, 'penalized_mask_loss': True, 'mask_type': 'extended', 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': False, 'preview_images': 14, 'zoom_amount': 5, 'rotation_range': 10, 'shift_range': 5, 'flip_chance': 50, 'color_lightness': 30, 'color_ab': 8, 'color_clahe_chance': 50, 'color_clahe_max_size': 4})
07/16/2021 21:57:22 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Output sizes: [64]
07/16/2021 21:57:22 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Initialized ImageAugmentation
07/16/2021 21:57:22 MainProcess     _training_0                    multithreading  __init__                       DEBUG    Initializing BackgroundGenerator: (target: '_run', thread_count: 2)
07/16/2021 21:57:22 MainProcess     _training_0                    multithreading  __init__                       DEBUG    Initialized BackgroundGenerator: '_run'
07/16/2021 21:57:22 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread(s): '_run'
07/16/2021 21:57:22 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread 1 of 2: '_run_0'
07/16/2021 21:57:22 MainProcess     _run_0                         generator       _minibatch                     DEBUG    Loading minibatch generator: (image_count: 556, side: 'a', do_shuffle: True)
07/16/2021 21:57:22 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread 2 of 2: '_run_1'
07/16/2021 21:57:22 MainProcess     _run_1                         generator       _minibatch                     DEBUG    Loading minibatch generator: (image_count: 556, side: 'a', do_shuffle: True)
07/16/2021 21:57:22 MainProcess     _training_0                    multithreading  start                          DEBUG    Started all threads '_run': 2
07/16/2021 21:57:22 MainProcess     _training_0                    _base           _set_preview_feed              DEBUG    Setting preview feed: (side: 'b')
07/16/2021 21:57:22 MainProcess     _training_0                    _base           _load_generator                DEBUG    Loading generator
07/16/2021 21:57:22 MainProcess     _training_0                    _base           _load_generator                DEBUG    input_size: 64, output_shapes: [(64, 64, 3)]
07/16/2021 21:57:22 MainProcess     _training_0                    generator       __init__                       DEBUG    Initializing TrainingDataGenerator: (model_input_size: 64, model_output_shapes: [(64, 64, 3)], coverage_ratio: 0.8234999999999999, color_order: bgr, augment_color: True, no_flip: False, no_warp: False, warp_to_landmarks: False, config: {'centering': 'face', 'coverage': 82.35, 'icnr_init': False, 'conv_aware_init': False, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'reflect_padding': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'mask_loss_function': 'mse', 'l2_reg_term': 100, 'eye_multiplier': 3, 'mouth_multiplier': 2, 'penalized_mask_loss': True, 'mask_type': 'extended', 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': False, 'preview_images': 14, 'zoom_amount': 5, 'rotation_range': 10, 'shift_range': 5, 'flip_chance': 50, 'color_lightness': 30, 'color_ab': 8, 'color_clahe_chance': 50, 'color_clahe_max_size': 4})
07/16/2021 21:57:22 MainProcess     _training_0                    generator       __init__                       DEBUG    Initialized TrainingDataGenerator
07/16/2021 21:57:22 MainProcess     _training_0                    generator       minibatch_ab                   DEBUG    Queue batches: (image_count: 179, batchsize: 14, side: 'b', do_shuffle: True, is_preview, True, is_timelapse: False)
07/16/2021 21:57:22 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Initializing ImageAugmentation: (batchsize: 14, is_display: True, input_size: 64, output_shapes: [(64, 64, 3)], coverage_ratio: 0.8234999999999999, config: {'centering': 'face', 'coverage': 82.35, 'icnr_init': False, 'conv_aware_init': False, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'reflect_padding': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'mask_loss_function': 'mse', 'l2_reg_term': 100, 'eye_multiplier': 3, 'mouth_multiplier': 2, 'penalized_mask_loss': True, 'mask_type': 'extended', 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': False, 'preview_images': 14, 'zoom_amount': 5, 'rotation_range': 10, 'shift_range': 5, 'flip_chance': 50, 'color_lightness': 30, 'color_ab': 8, 'color_clahe_chance': 50, 'color_clahe_max_size': 4})
07/16/2021 21:57:22 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Output sizes: [64]
07/16/2021 21:57:22 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Initialized ImageAugmentation
07/16/2021 21:57:22 MainProcess     _training_0                    multithreading  __init__                       DEBUG    Initializing BackgroundGenerator: (target: '_run', thread_count: 2)
07/16/2021 21:57:22 MainProcess     _training_0                    multithreading  __init__                       DEBUG    Initialized BackgroundGenerator: '_run'
07/16/2021 21:57:22 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread(s): '_run'
07/16/2021 21:57:22 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread 1 of 2: '_run_0'
07/16/2021 21:57:22 MainProcess     _run_0                         generator       _minibatch                     DEBUG    Loading minibatch generator: (image_count: 179, side: 'b', do_shuffle: True)
07/16/2021 21:57:22 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread 2 of 2: '_run_1'
07/16/2021 21:57:22 MainProcess     _run_1                         generator       _minibatch                     DEBUG    Loading minibatch generator: (image_count: 179, side: 'b', do_shuffle: True)
07/16/2021 21:57:22 MainProcess     _training_0                    multithreading  start                          DEBUG    Started all threads '_run': 2
07/16/2021 21:57:22 MainProcess     _training_0                    _base           _set_preview_feed              DEBUG    Set preview feed. Batchsize: 14
07/16/2021 21:57:22 MainProcess     _training_0                    _base           __init__                       DEBUG    Initialized _Feeder:
07/16/2021 21:57:22 MainProcess     _training_0                    _base           _set_tensorboard               DEBUG    Enabling TensorBoard Logging
07/16/2021 21:57:22 MainProcess     _training_0                    _base           _set_tensorboard               DEBUG    Setting up TensorBoard Logging
07/16/2021 21:57:22 MainProcess     _run_0                         generator       _validate_version              DEBUG    Setting initial extract version: 2.2
07/16/2021 21:57:22 MainProcess     _run_0                         generator       _validate_version              DEBUG    Setting initial extract version: 2.2
07/16/2021 21:57:23 MainProcess     _training_0                    _base           _set_tensorboard               VERBOSE  Enabled TensorBoard Logging
07/16/2021 21:57:23 MainProcess     _training_0                    _base           __init__                       DEBUG    Initializing _Samples: model: '<plugins.train.model.original.Model object at 0x0000024C14547040>', coverage_ratio: 0.8234999999999999)
07/16/2021 21:57:23 MainProcess     _training_0                    _base           __init__                       DEBUG    Initialized _Samples
07/16/2021 21:57:23 MainProcess     _training_0                    _base           __init__                       DEBUG    Initializing _Timelapse: model: <plugins.train.model.original.Model object at 0x0000024C14547040>, coverage_ratio: 0.8234999999999999, image_count: 14, feeder: '<plugins.train.trainer._base._Feeder object at 0x0000024C1AE99C40>', image_paths: 2)
07/16/2021 21:57:23 MainProcess     _training_0                    _base           __init__                       DEBUG    Initializing _Samples: model: '<plugins.train.model.original.Model object at 0x0000024C14547040>', coverage_ratio: 0.8234999999999999)
07/16/2021 21:57:23 MainProcess     _training_0                    _base           __init__                       DEBUG    Initialized _Samples
07/16/2021 21:57:23 MainProcess     _training_0                    _base           __init__                       DEBUG    Initialized _Timelapse
07/16/2021 21:57:23 MainProcess     _training_0                    _base           __init__                       DEBUG    Initialized Trainer
07/16/2021 21:57:23 MainProcess     _training_0                    train           _load_trainer                  DEBUG    Loaded Trainer
07/16/2021 21:57:23 MainProcess     _training_0                    train           _run_training_cycle            DEBUG    Running Training Cycle
07/16/2021 21:57:23 MainProcess     _run_0                         augmentation    initialize                     DEBUG    Initializing constants. training_size: 384
07/16/2021 21:57:23 MainProcess     _run_0                         augmentation    initialize                     DEBUG    Initialized constants: {'clahe_base_contrast': 3, 'tgt_slices': slice(34, 350, None), 'warp_mapx': '[[[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]]', 'warp_mapy': '[[[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]]', 'warp_pad': 80, 'warp_slices': slice(8, -8, None), 'warp_lm_edge_anchors': '[[[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]]', 'warp_lm_grids': '[[[  0.   0.   0. ...   0.   0.   0.]\n  [  1.   1.   1. ...   1.   1.   1.]\n  [  2.   2.   2. ...   2.   2.   2.]\n  ...\n  [381. 381. 381. ... 381. 381. 381.]\n  [382. 382. 382. ... 382. 382. 382.]\n  [383. 383. 383. ... 383. 383. 383.]]\n\n [[  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]\n  ...\n  [  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]]]'}
07/16/2021 21:57:23 MainProcess     _run_0                         augmentation    initialize                     DEBUG    Initializing constants. training_size: 384
07/16/2021 21:57:23 MainProcess     _run_0                         augmentation    initialize                     DEBUG    Initialized constants: {'clahe_base_contrast': 3, 'tgt_slices': slice(34, 350, None), 'warp_mapx': '[[[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]]', 'warp_mapy': '[[[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]]', 'warp_pad': 80, 'warp_slices': slice(8, -8, None), 'warp_lm_edge_anchors': '[[[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]]', 'warp_lm_grids': '[[[  0.   0.   0. ...   0.   0.   0.]\n  [  1.   1.   1. ...   1.   1.   1.]\n  [  2.   2.   2. ...   2.   2.   2.]\n  ...\n  [381. 381. 381. ... 381. 381. 381.]\n  [382. 382. 382. ... 382. 382. 382.]\n  [383. 383. 383. ... 383. 383. 383.]]\n\n [[  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]\n  ...\n  [  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]]]'}
07/16/2021 21:57:23 MainProcess     _run_1                         multithreading  run                            DEBUG    Error in thread (_run_1): 'NoneType' object is not subscriptable
07/16/2021 21:57:23 MainProcess     _run_0                         augmentation    initialize                     DEBUG    Initializing constants. training_size: 384
07/16/2021 21:57:23 MainProcess     _run_0                         augmentation    initialize                     DEBUG    Initialized constants: {'clahe_base_contrast': 3, 'tgt_slices': slice(34, 350, None), 'warp_mapx': '[[[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]]', 'warp_mapy': '[[[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]]', 'warp_pad': 80, 'warp_slices': slice(8, -8, None), 'warp_lm_edge_anchors': '[[[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]]', 'warp_lm_grids': '[[[  0.   0.   0. ...   0.   0.   0.]\n  [  1.   1.   1. ...   1.   1.   1.]\n  [  2.   2.   2. ...   2.   2.   2.]\n  ...\n  [381. 381. 381. ... 381. 381. 381.]\n  [382. 382. 382. ... 382. 382. 382.]\n  [383. 383. 383. ... 383. 383. 383.]]\n\n [[  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]\n  ...\n  [  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]]]'}
07/16/2021 21:57:23 MainProcess     _training_0                    multithreading  check_and_raise_error          DEBUG    Thread error caught: [(<class 'TypeError'>, TypeError("'NoneType' object is not subscriptable"), <traceback object at 0x0000024C14992040>)]
07/16/2021 21:57:23 MainProcess     _training_0                    multithreading  run                            DEBUG    Error in thread (_training_0): 'NoneType' object is not subscriptable
07/16/2021 21:57:23 MainProcess     _run_0                         augmentation    initialize                     DEBUG    Initializing constants. training_size: 384
07/16/2021 21:57:23 MainProcess     _run_0                         augmentation    initialize                     DEBUG    Initialized constants: {'clahe_base_contrast': 3, 'tgt_slices': slice(34, 350, None), 'warp_mapx': '[[[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]\n\n [[ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]\n  [ 34. 113. 192. 271. 350.]]]', 'warp_mapy': '[[[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]\n\n [[ 34.  34.  34.  34.  34.]\n  [113. 113. 113. 113. 113.]\n  [192. 192. 192. 192. 192.]\n  [271. 271. 271. 271. 271.]\n  [350. 350. 350. 350. 350.]]]', 'warp_pad': 80, 'warp_slices': slice(8, -8, None), 'warp_lm_edge_anchors': '[[[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]\n\n [[  0   0]\n  [  0 383]\n  [383 383]\n  [383   0]\n  [191   0]\n  [191 383]\n  [383 191]\n  [  0 191]]]', 'warp_lm_grids': '[[[  0.   0.   0. ...   0.   0.   0.]\n  [  1.   1.   1. ...   1.   1.   1.]\n  [  2.   2.   2. ...   2.   2.   2.]\n  ...\n  [381. 381. 381. ... 381. 381. 381.]\n  [382. 382. 382. ... 382. 382. 382.]\n  [383. 383. 383. ... 383. 383. 383.]]\n\n [[  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]\n  ...\n  [  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]\n  [  0.   1.   2. ... 381. 382. 383.]]]'}
07/16/2021 21:57:24 MainProcess     _run_1                         generator       cache_metadata                 DEBUG    All metadata already cached for: ['1_003345_0.png', '1_003176_0.png', '1_001922_0.png', '1_001379_0.png', '1_001380_0.png', '1_003313_0.png', '1_003180_0.png', '1_003320_0.png', '1_003289_0.png', '1_003286_0.png', '1_001869_0.png', '1_000919_0.png']
07/16/2021 21:57:24 MainProcess     MainThread                     train           _monitor                       DEBUG    Thread error detected
07/16/2021 21:57:24 MainProcess     MainThread                     train           _monitor                       DEBUG    Closed Monitor
07/16/2021 21:57:24 MainProcess     MainThread                     train           _end_thread                    DEBUG    Ending Training thread
07/16/2021 21:57:24 MainProcess     MainThread                     train           _end_thread                    CRITICAL Error caught! Exiting...
07/16/2021 21:57:24 MainProcess     MainThread                     multithreading  join                           DEBUG    Joining Threads: '_training'
07/16/2021 21:57:24 MainProcess     MainThread                     multithreading  join                           DEBUG    Joining Thread: '_training_0'
07/16/2021 21:57:24 MainProcess     MainThread                     multithreading  join                           ERROR    Caught exception in thread: '_training_0'
Traceback (most recent call last):
  File "E:\faceswap\lib\cli\launcher.py", line 182, in execute_script
    process.process()
  File "E:\faceswap\scripts\train.py", line 190, in process
    self._end_thread(thread, err)
  File "E:\faceswap\scripts\train.py", line 230, in _end_thread
    thread.join()
  File "E:\faceswap\lib\multithreading.py", line 121, in join
    raise thread.err[1].with_traceback(thread.err[2])
  File "E:\faceswap\lib\multithreading.py", line 37, in run
    self._target(*self._args, **self._kwargs)
  File "E:\faceswap\scripts\train.py", line 252, in _training
    raise err
  File "E:\faceswap\scripts\train.py", line 242, in _training
    self._run_training_cycle(model, trainer)
  File "E:\faceswap\scripts\train.py", line 327, in _run_training_cycle
    trainer.train_one_step(viewer, timelapse)
  File "E:\faceswap\plugins\train\trainer\_base.py", line 191, in train_one_step
    model_inputs, model_targets = self._feeder.get_batch()
  File "E:\faceswap\plugins\train\trainer\_base.py", line 416, in get_batch
    batch = next(self._feeds[side])
  File "E:\faceswap\lib\multithreading.py", line 156, in iterator
    self.check_and_raise_error()
  File "E:\faceswap\lib\multithreading.py", line 84, in check_and_raise_error
    raise error[1].with_traceback(error[2])
  File "E:\faceswap\lib\multithreading.py", line 37, in run
    self._target(*self._args, **self._kwargs)
  File "E:\faceswap\lib\multithreading.py", line 145, in _run
    for item in self.generator(*self._gen_args, **self._gen_kwargs):
  File "E:\faceswap\lib\training\generator.py", line 598, in _minibatch
    yield self._process_batch(img_paths, side)
  File "E:\faceswap\lib\training\generator.py", line 621, in _process_batch
    batch = self._face_cache.cache_metadata(filenames)
  File "E:\faceswap\lib\training\generator.py", line 224, in cache_metadata
    self._validate_version(meta, filename)
  File "E:\faceswap\lib\training\generator.py", line 287, in _validate_version
    alignment_version = png_meta["source"]["alignments_version"]
TypeError: 'NoneType' object is not subscriptable

============ System Information ============
encoding:            cp936
git_branch:          master
git_commits:         55bb723 New Model: Phaze-A
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 2070 SUPER
gpu_devices_active:  GPU_0
gpu_driver:          466.77
gpu_vram:            GPU_0: 8192MB
os_machine:          AMD64
os_platform:         Windows-10-10.0.19041-SP0
os_release:          10
py_command:          E:\faceswap\faceswap.py train -A E:/Program Files (x86)/shuchu/1 -B E:/Program Files (x86)/shuchu/xh -m E:/Program Files (x86)/shuchu/2 -t original -bs 12 -it 1000000 -s 250 -ss 25000 -tia E:/Program Files (x86)/shuchu/1 -tib E:/Program Files (x86)/shuchu/xh -to E:/Program Files (x86)/shuchu/22 -ps 100 -L INFO -gui
py_conda_version:    conda 4.10.3
py_implementation:   CPython
py_version:          3.8.10
py_virtual_env:      True
sys_cores:           16
sys_processor:       AMD64 Family 23 Model 113 Stepping 0, AuthenticAMD
sys_ram:             Total: 16309MB, Available: 9178MB, Used: 7131MB, Free: 9178MB

=============== Pip Packages ===============
absl-py @ file:///C:/ci/absl-py_1623867339542/work
aiohttp @ file:///C:/ci/aiohttp_1614361024229/work
astor==0.8.1
astunparse==1.6.3
async-timeout==3.0.1
attrs @ file:///tmp/build/80754af9/attrs_1620827162558/work
blinker==1.4
brotlipy==0.7.0
cachetools @ file:///tmp/build/80754af9/cachetools_1619597386817/work
certifi==2021.5.30
cffi @ file:///C:/ci/cffi_1625831749120/work
chardet @ file:///C:/ci/chardet_1605303225733/work
click @ file:///tmp/build/80754af9/click_1621604852318/work
coverage @ file:///C:/ci/coverage_1614615074147/work
cryptography @ file:///C:/ci/cryptography_1616769344312/work
cycler==0.10.0
Cython @ file:///C:/ci/cython_1626257071357/work
fastcluster==1.1.26
ffmpy==0.2.3
gast @ file:///tmp/build/80754af9/gast_1597433534803/work
google-auth @ file:///tmp/build/80754af9/google-auth_1625743431937/work
google-auth-oauthlib @ file:///tmp/build/80754af9/google-auth-oauthlib_1617120569401/work
google-pasta==0.2.0
grpcio @ file:///C:/ci/grpcio_1614884412260/work
h5py==2.10.0
idna @ file:///home/linux1/recipes/ci/idna_1610986105248/work
imageio @ file:///tmp/build/80754af9/imageio_1617700267927/work
imageio-ffmpeg==0.4.4
importlib-metadata @ file:///C:/ci/importlib-metadata_1617877484576/work
joblib @ file:///tmp/build/80754af9/joblib_1613502643832/work
Keras-Applications @ file:///tmp/build/80754af9/keras-applications_1594366238411/work
Keras-Preprocessing @ file:///tmp/build/80754af9/keras-preprocessing_1612283640596/work
kiwisolver @ file:///C:/ci/kiwisolver_1612282606037/work
Markdown @ file:///C:/ci/markdown_1614364121613/work
matplotlib @ file:///C:/ci/matplotlib-base_1592837548929/work
mkl-fft==1.3.0
mkl-random==1.1.1
mkl-service==2.3.0
multidict @ file:///C:/ci/multidict_1607362065515/work
numpy @ file:///C:/ci/numpy_and_numpy_base_1603466732592/work
nvidia-ml-py3 @ git+https://github.com/deepfakes/nvidia-ml-py3.git@6fc29ac84b32bad877f078cb4a777c1548a00bf6
oauthlib @ file:///tmp/build/80754af9/oauthlib_1623060228408/work
olefile==0.46
opencv-python==4.5.3.56
opt-einsum @ file:///tmp/build/80754af9/opt_einsum_1621500238896/work
pathlib==1.0.1
Pillow @ file:///C:/ci/pillow_1625663293593/work
protobuf==3.14.0
psutil @ file:///C:/ci/psutil_1612298324802/work
pyasn1==0.4.8
pyasn1-modules==0.2.8
pycparser @ file:///tmp/build/80754af9/pycparser_1594388511720/work
PyJWT @ file:///C:/ci/pyjwt_1619651841937/work
pyOpenSSL @ file:///tmp/build/80754af9/pyopenssl_1608057966937/work
pyparsing @ file:///home/linux1/recipes/ci/pyparsing_1610983426697/work
pyreadline==2.1
PySocks @ file:///C:/ci/pysocks_1605287845585/work
python-dateutil @ file:///tmp/build/80754af9/python-dateutil_1626374649649/work
pywin32==227
requests @ file:///tmp/build/80754af9/requests_1608241421344/work
requests-oauthlib==1.3.0
rsa @ file:///tmp/build/80754af9/rsa_1614366226499/work
scikit-learn @ file:///C:/ci/scikit-learn_1622739500535/work
scipy @ file:///C:/ci/scipy_1616703433439/work
sip==4.19.13
six @ file:///tmp/build/80754af9/six_1623709665295/work
tensorboard @ file:///home/builder/ktietz/aggregate/tensorflow_recipes/ci_te/tensorboard_1614593728657/work/tmp_pip_dir
tensorboard-plugin-wit==1.6.0
tensorflow==2.3.0
tensorflow-estimator @ file:///home/builder/ktietz/aggregate/tensorflow_recipes/ci_baze37/tensorflow-estimator_1622026529081/work/tensorflow_estimator-2.5.0-py2.py3-none-any.whl
termcolor==1.1.0
threadpoolctl @ file:///tmp/build/80754af9/threadpoolctl_1626115094421/work
tornado @ file:///C:/ci/tornado_1606942392901/work
tqdm @ file:///tmp/build/80754af9/tqdm_1625563689033/work
typing-extensions @ file:///tmp/build/80754af9/typing_extensions_1624965014186/work
urllib3 @ file:///tmp/build/80754af9/urllib3_1625084269274/work
Werkzeug @ file:///home/ktietz/src/ci/werkzeug_1611932622770/work
win-inet-pton @ file:///C:/ci/win_inet_pton_1605306167264/work
wincertstore==0.2
wrapt==1.12.1
yarl @ file:///C:/ci/yarl_1606940076464/work
zipp @ file:///tmp/build/80754af9/zipp_1625570634446/work

============== Conda Packages ==============
# packages in environment at C:\Users\Dra\MiniConda3\envs\faceswap:
#
# Name                    Version                   Build  Channel
_tflow_select             2.3.0                       gpu  
absl-py                   0.13.0           py38haa95532_0  
aiohttp                   3.7.4            py38h2bbff1b_1  
astor                     0.8.1            py38haa95532_0  
astunparse                1.6.3                      py_0  
async-timeout             3.0.1            py38haa95532_0  
attrs                     21.2.0             pyhd3eb1b0_0  
blas                      1.0                         mkl  
blinker                   1.4              py38haa95532_0  
brotlipy                  0.7.0           py38h2bbff1b_1003  
ca-certificates           2021.7.5             haa95532_1  
cachetools                4.2.2              pyhd3eb1b0_0  
certifi                   2021.5.30        py38haa95532_0  
cffi                      1.14.6           py38h2bbff1b_0  
chardet                   3.0.4           py38haa95532_1003  
click                     8.0.1              pyhd3eb1b0_0  
coverage                  5.5              py38h2bbff1b_2  
cryptography              3.4.7            py38h71e12ea_0  
cudatoolkit               10.1.243             h74a9793_0  
cudnn                     7.6.5                cuda10.1_0  
cycler                    0.10.0                   py38_0  
cython                    0.29.24          py38hd77b12b_0  
fastcluster               1.1.26           py38h251f6bf_2    conda-forge
ffmpy                     0.2.3                    pypi_0    pypi
freetype                  2.10.4               hd328e21_0  
gast                      0.4.0                      py_0  
git                       2.23.0               h6bb4b03_0  
google-auth               1.32.1             pyhd3eb1b0_0  
google-auth-oauthlib      0.4.4              pyhd3eb1b0_0  
google-pasta              0.2.0                      py_0  
grpcio                    1.36.1           py38hc60d5dd_1  
h5py                      2.10.0           py38h5e291fa_0  
hdf5                      1.10.4               h7ebc959_0  
icc_rt                    2019.0.0             h0cc432a_1  
icu                       58.2                 ha925a31_3  
idna                      2.10               pyhd3eb1b0_0  
imageio                   2.9.0              pyhd3eb1b0_0  
imageio-ffmpeg            0.4.4                    pypi_0    pypi
importlib-metadata        3.10.0           py38haa95532_0  
intel-openmp              2021.3.0          haa95532_3372  
joblib                    1.0.1              pyhd3eb1b0_0  
jpeg                      9b                   hb83a4c4_2  
keras-applications        1.0.8                      py_1  
keras-preprocessing       1.1.2              pyhd3eb1b0_0  
kiwisolver                1.3.1            py38hd77b12b_0  
libpng                    1.6.37               h2a8f88b_0  
libprotobuf               3.14.0               h23ce68f_0  
libtiff                   4.2.0                hd0e1b90_0  
lz4-c                     1.9.3                h2bbff1b_0  
markdown                  3.3.4            py38haa95532_0  
matplotlib                3.2.2                         0  
matplotlib-base           3.2.2            py38h64f37c6_0  
mkl                       2020.2                      256  
mkl-service               2.3.0            py38h196d8e1_0  
mkl_fft                   1.3.0            py38h46781fe_0  
mkl_random                1.1.1            py38h47e9c7a_0  
multidict                 5.1.0            py38h2bbff1b_2  
numpy                     1.19.2           py38hadc3359_0  
numpy-base                1.19.2           py38ha3acd2a_0  
nvidia-ml-py3             7.352.1                  pypi_0    pypi
oauthlib                  3.1.1              pyhd3eb1b0_0  
olefile                   0.46                       py_0  
opencv-python             4.5.3.56                 pypi_0    pypi
openssl                   1.1.1k               h2bbff1b_0  
opt_einsum                3.3.0              pyhd3eb1b0_1  
pathlib                   1.0.1                      py_1  
pillow                    8.3.1            py38h4fa10fc_0  
pip                       21.1.3           py38haa95532_0  
protobuf                  3.14.0           py38hd77b12b_1  
psutil                    5.8.0            py38h2bbff1b_1  
pyasn1                    0.4.8                      py_0  
pyasn1-modules            0.2.8                      py_0  
pycparser                 2.20                       py_2  
pyjwt                     2.1.0            py38haa95532_0  
pyopenssl                 20.0.1             pyhd3eb1b0_1  
pyparsing                 2.4.7              pyhd3eb1b0_0  
pyqt                      5.9.2            py38ha925a31_4  
pyreadline                2.1                      py38_1  
pysocks                   1.7.1            py38haa95532_0  
python                    3.8.10               hdbf39b2_7  
python-dateutil           2.8.2              pyhd3eb1b0_0  
python_abi                3.8                      2_cp38    conda-forge
pywin32                   227              py38he774522_1  
qt                        5.9.7            vc14h73c81de_0  
requests                  2.25.1             pyhd3eb1b0_0  
requests-oauthlib         1.3.0                      py_0  
rsa                       4.7.2              pyhd3eb1b0_1  
scikit-learn              0.24.2           py38hf11a4ad_1  
scipy                     1.6.2            py38h14eb087_0  
setuptools                52.0.0           py38haa95532_0  
sip                       4.19.13          py38ha925a31_0  
six                       1.16.0             pyhd3eb1b0_0  
sqlite                    3.36.0               h2bbff1b_0  
tensorboard               2.4.0              pyhc547734_0  
tensorboard-plugin-wit    1.6.0                      py_0  
tensorflow                2.3.0           mkl_py38h1fcfbd6_0  
tensorflow-base           2.3.0           gpu_py38h7339f5a_0  
tensorflow-estimator      2.5.0              pyh7b7c402_0  
tensorflow-gpu            2.3.0                he13fc11_0  
termcolor                 1.1.0            py38haa95532_1  
threadpoolctl             2.2.0              pyhb85f177_0  
tk                        8.6.10               he774522_0  
tornado                   6.1              py38h2bbff1b_0  
tqdm                      4.61.2             pyhd3eb1b0_1  
typing-extensions         3.10.0.0             hd3eb1b0_0  
typing_extensions         3.10.0.0           pyh06a4308_0  
urllib3                   1.26.6             pyhd3eb1b0_1  
vc                        14.2                 h21ff451_1  
vs2015_runtime            14.27.29016          h5e58377_2  
werkzeug                  1.0.1              pyhd3eb1b0_0  
wheel                     0.36.2             pyhd3eb1b0_0  
win_inet_pton             1.1.0            py38haa95532_0  
wincertstore              0.2                      py38_0  
wrapt                     1.12.1           py38he774522_1  
xz                        5.2.5                h62dcd97_0  
yarl                      1.6.3            py38h2bbff1b_0  
zipp                      3.5.0              pyhd3eb1b0_0  
zlib                      1.2.11               h62dcd97_4  
zstd                      1.4.9                h19a0ad4_0  

=============== State File =================
{
  "name": "original",
  "sessions": {
    "1": {
      "timestamp": 1626442260.8452864,
      "no_logs": false,
      "loss_names": [
        "total",
        "face_a",
        "face_b"
      ],
      "batchsize": 12,
      "iterations": 1,
      "config": {
        "learning_rate": 5e-05,
        "epsilon_exponent": -7,
        "allow_growth": false,
        "nan_protection": true,
        "convert_batchsize": 16,
        "eye_multiplier": 3,
        "mouth_multiplier": 2
      }
    },
    "2": {
      "timestamp": 1626442356.3110113,
      "no_logs": false,
      "loss_names": [
        "total",
        "face_a",
        "face_b"
      ],
      "batchsize": 12,
      "iterations": 1,
      "config": {
        "learning_rate": 5e-05,
        "epsilon_exponent": -7,
        "allow_growth": false,
        "nan_protection": true,
        "convert_batchsize": 16,
        "eye_multiplier": 3,
        "mouth_multiplier": 2
      }
    },
    "3": {
      "timestamp": 1626443115.7019246,
      "no_logs": false,
      "loss_names": [
        "total",
        "face_a",
        "face_b"
      ],
      "batchsize": 12,
      "iterations": 1,
      "config": {
        "learning_rate": 5e-05,
        "epsilon_exponent": -7,
        "allow_growth": false,
        "nan_protection": true,
        "convert_batchsize": 16,
        "eye_multiplier": 3,
        "mouth_multiplier": 2
      }
    },
    "4": {
      "timestamp": 1626443794.5468602,
      "no_logs": false,
      "loss_names": [
        "total",
        "face_a",
        "face_b"
      ],
      "batchsize": 12,
      "iterations": 1,
      "config": {
        "learning_rate": 5e-05,
        "epsilon_exponent": -7,
        "allow_growth": false,
        "nan_protection": true,
        "convert_batchsize": 16,
        "eye_multiplier": 3,
        "mouth_multiplier": 2
      }
    },
    "5": {
      "timestamp": 1626443818.290565,
      "no_logs": false,
      "loss_names": [
        "total",
        "face_a",
        "face_b"
      ],
      "batchsize": 12,
      "iterations": 1,
      "config": {
        "learning_rate": 5e-05,
        "epsilon_exponent": -7,
        "allow_growth": false,
        "nan_protection": true,
        "convert_batchsize": 16,
        "eye_multiplier": 3,
        "mouth_multiplier": 2
      }
    }
  },
  "lowest_avg_loss": {
    "a": 0.2580637037754059,
    "b": 0.21342462301254272
  },
  "iterations": 5,
  "config": {
    "centering": "face",
    "coverage": 82.35,
    "optimizer": "adam",
    "learning_rate": 5e-05,
    "epsilon_exponent": -7,
    "allow_growth": false,
    "mixed_precision": false,
    "nan_protection": true,
    "convert_batchsize": 16,
    "loss_function": "ssim",
    "mask_loss_function": "mse",
    "l2_reg_term": 100,
    "eye_multiplier": 3,
    "mouth_multiplier": 2,
    "penalized_mask_loss": true,
    "mask_type": "extended",
    "mask_blur_kernel": 3,
    "mask_threshold": 4,
    "learn_mask": false,
    "lowmem": false
  }
}

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

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

[color.color_transfer]
clip:                     True
preserve_paper:           True

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

[color.match_hist]
threshold:                99.0

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

[mask.mask_blend]
type:                     normalized
kernel_size:              3
passes:                   4
threshold:                4
erosion:                  0.0

[scaling.sharpen]
method:                   none
amount:                   150
radius:                   0.3
threshold:                5.0

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

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

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

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

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

[global]
allow_growth:             False

[align.fan]
batch-size:               12

[detect.cv2_dnn]
confidence:               50

[detect.mtcnn]
minsize:                  20
scalefactor:              0.709
batch-size:               8
threshold_1:              0.6
threshold_2:              0.7
threshold_3:              0.7

[detect.s3fd]
confidence:               70
batch-size:               4

[mask.bisenet_fp]
batch-size:               8
include_ears:             False
include_hair:             False
include_glasses:          True

[mask.unet_dfl]
batch-size:               8

[mask.vgg_clear]
batch-size:               6

[mask.vgg_obstructed]
batch-size:               2

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

[global]
fullscreen:               False
tab:                      extract
options_panel_width:      30
console_panel_height:     20
icon_size:                14
font:                     default
font_size:                9
autosave_last_session:    prompt
timeout:                  120
auto_load_model_stats:    True

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

[global]
centering:                face
coverage:                 82.35
icnr_init:                False
conv_aware_init:          False
optimizer:                adam
learning_rate:            5e-05
epsilon_exponent:         -7
reflect_padding:          False
allow_growth:             False
mixed_precision:          False
nan_protection:           True
convert_batchsize:        16

[global.loss]
loss_function:            ssim
mask_loss_function:       mse
l2_reg_term:              100
eye_multiplier:           3
mouth_multiplier:         2
penalized_mask_loss:      True
mask_type:                extended
mask_blur_kernel:         3
mask_threshold:           4
learn_mask:               False

[model.dfaker]
output_size:              128

[model.dfl_h128]
lowmem:                   False

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

[model.dlight]
features:                 best
details:                  good
output_size:              256

[model.original]
lowmem:                   False

[model.phaze_a]
output_size:              128
shared_fc:                None
enable_gblock:            True
split_fc:                 True
split_gblock:             False
split_decoders:           False
enc_architecture:         fs_original
enc_scaling:              40
enc_load_weights:         True
bottleneck_type:          dense
bottleneck_norm:          None
bottleneck_size:          1024
bottleneck_in_encoder:    True
fc_depth:                 1
fc_min_filters:           1024
fc_max_filters:           1024
fc_dimensions:            4
fc_filter_slope:          -0.5
fc_dropout:               0.0
fc_upsampler:             upsample2d
fc_upsamples:             1
fc_upsample_filters:      512
fc_gblock_depth:          3
fc_gblock_min_nodes:      512
fc_gblock_max_nodes:      512
fc_gblock_filter_slope:   -0.5
fc_gblock_dropout:        0.0
dec_upscale_method:       subpixel
dec_norm:                 None
dec_min_filters:          64
dec_max_filters:          512
dec_filter_slope:         -0.45
dec_res_blocks:           1
dec_output_kernel:        5
dec_gaussian:             True
dec_skip_last_residual:   True
freeze_layers:            keras_encoder
load_layers:              encoder
fs_original_depth:        4
fs_original_min_filters:  128
fs_original_max_filters:  1024
mobilenet_width:          1.0
mobilenet_depth:          1
mobilenet_dropout:        0.001

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

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

[model.villain]
lowmem:                   False

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

User avatar
torzdf
Posts: 1433
Joined: Fri Jul 12, 2019 12:53 am
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Re: CRITICAL Error caught! Exiting...ERROR Caught exception in thread: '_training_0'

Post by torzdf »

That looks like a problem with (at least) one of your training images not being an extracted faceswap face

My word is final


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