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