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
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opencv-python 4.5.3.56 pypi_0 pypi openssl 1.1.1k h2bbff1b_0
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pillow 8.3.1 py38h4fa10fc_0
pip 21.1.3 py38haa95532_0
protobuf 3.14.0 py38hd77b12b_1
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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
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torzdf
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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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