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- 07/25/2023 22:19:53 MainProcess _training model add_session_batchsize DEBUG Adding session batch size: 10
- 07/25/2023 22:19:53 MainProcess _training _base __init__ DEBUG Initializing _Feeder: num_images: {'a': 334, 'b': 25}, batch_size: 10, config: {'centering': 'face', 'coverage': 87.5, 'icnr_init': False, 'conv_aware_init': False, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'save_optimizer': 'exit', 'autoclip': False, 'reflect_padding': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'loss_function_2': 'mse', 'loss_weight_2': 100, 'loss_function_3': None, 'loss_weight_3': 0, 'loss_function_4': None, 'loss_weight_4': 0, 'mask_loss_function': 'mse', '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, 'mask_opacity': 30, 'mask_color': '#ff0000', '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})
- 07/25/2023 22:19:53 MainProcess _training _base _load_generator DEBUG Loading generator, side: a, is_display: False, batch_size: None
- 07/25/2023 22:19:53 MainProcess _training generator __init__ DEBUG Initializing TrainingDataGenerator: (model: original, side: a, images: 334 , batch_size: 10, config: {'centering': 'face', 'coverage': 87.5, 'icnr_init': False, 'conv_aware_init': False, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'save_optimizer': 'exit', 'autoclip': False, 'reflect_padding': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'loss_function_2': 'mse', 'loss_weight_2': 100, 'loss_function_3': None, 'loss_weight_3': 0, 'loss_function_4': None, 'loss_weight_4': 0, 'mask_loss_function': 'mse', '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, 'mask_opacity': 30, 'mask_color': '#ff0000', '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})
- 07/25/2023 22:19:53 MainProcess _training generator _get_output_sizes DEBUG side: a, model output shapes: [(None, 64, 64, 3), (None, 64, 64, 3)], output sizes: [64]
- 07/25/2023 22:19:53 MainProcess _training cache __init__ DEBUG Initializing: RingBuffer (batch_size: 10, image_shape: (64, 64, 6), buffer_size: 2, dtype: uint8
- 07/25/2023 22:19:53 MainProcess _training cache __init__ DEBUG Initialized: RingBuffer
- 07/25/2023 22:19:53 MainProcess _training cache get_cache DEBUG Creating cache. side: a, size: 64, coverage_ratio: 0.875
- 07/25/2023 22:19:53 MainProcess _training cache __init__ DEBUG Initializing: _Cache (filenames: 334, size: 64, coverage_ratio: 0.875)
- 07/25/2023 22:19:53 MainProcess _training cache __init__ DEBUG Initialized: _Cache
- 07/25/2023 22:19:53 MainProcess _training generator __init__ DEBUG Initialized TrainingDataGenerator
- 07/25/2023 22:19:53 MainProcess _training augmentation __init__ DEBUG Initializing ImageAugmentation: (batchsize: 10, processing_size: 64, config: {'centering': 'face', 'coverage': 87.5, 'icnr_init': False, 'conv_aware_init': False, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'save_optimizer': 'exit', 'autoclip': False, 'reflect_padding': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'loss_function_2': 'mse', 'loss_weight_2': 100, 'loss_function_3': None, 'loss_weight_3': 0, 'loss_function_4': None, 'loss_weight_4': 0, 'mask_loss_function': 'mse', '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, 'mask_opacity': 30, 'mask_color': '#ff0000', '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})
- 07/25/2023 22:19:53 MainProcess _training augmentation _get_constants DEBUG Initializing constants.
- 07/25/2023 22:19:53 MainProcess _training augmentation _get_constants DEBUG Initialized constants: AugConstants(clahe_base_contrast=2, clahe_chance=0.5, clahe_max_size=4, lab_adjust=array([0.3 , 0.08, 0.08], dtype=float32), transform_rotation=10, transform_zoom=0.05, transform_shift=3.2, warp_maps=array([[[[ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.]],nn [[ 0., 0., 0., 0., 0.],n [16., 16., 16., 16., 16.],n [32., 32., 32., 32., 32.],n [48., 48., 48., 48., 48.],n [64., 64., 64., 64., 64.]]],nnn [[[ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.]],nn [[ 0., 0., 0., 0., 0.],n [16., 16., 16., 16., 16.],n [32., 32., 32., 32., 32.],n [48., 48., 48., 48., 48.],n [64., 64., 64., 64., 64.]]],nnn [[[ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.]],nn [[ 0., 0., 0., 0., 0.],n [16., 16., 16., 16., 16.],n [32., 32., 32., 32., 32.],n [48., 48., 48., 48., 48.],n [64., 64., 64., 64., 64.]]],nnn [[[ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.]],nn [[ 0., 0., 0., 0., 0.],n [16., 16., 16., 16., 16.],n [32., 32., 32., 32., 32.],n [48., 48., 48., 48., 48.],n [64., 64., 64., 64., 64.]]],nnn [[[ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.]],nn [[ 0., 0., 0., 0., 0.],n [16., 16., 16., 16., 16.],n [32., 32., 32., 32., 32.],n [48., 48., 48., 48., 48.],n [64., 64., 64., 64., 64.]]],nnn [[[ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.]],nn [[ 0., 0., 0., 0., 0.],n [16., 16., 16., 16., 16.],n [32., 32., 32., 32., 32.],n [48., 48., 48., 48., 48.],n [64., 64., 64., 64., 64.]]],nnn [[[ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.]],nn [[ 0., 0., 0., 0., 0.],n [16., 16., 16., 16., 16.],n [32., 32., 32., 32., 32.],n [48., 48., 48., 48., 48.],n [64., 64., 64., 64., 64.]]],nnn [[[ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.]],nn [[ 0., 0., 0., 0., 0.],n [16., 16., 16., 16., 16.],n [32., 32., 32., 32., 32.],n [48., 48., 48., 48., 48.],n [64., 64., 64., 64., 64.]]],nnn [[[ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.]],nn [[ 0., 0., 0., 0., 0.],n [16., 16., 16., 16., 16.],n [32., 32., 32., 32., 32.],n [48., 48., 48., 48., 48.],n [64., 64., 64., 64., 64.]]],nnn [[[ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.]],nn [[ 0., 0., 0., 0., 0.],n [16., 16., 16., 16., 16.],n [32., 32., 32., 32., 32.],n [48., 48., 48., 48., 48.],n [64., 64., 64., 64., 64.]]]], dtype=float32), warp_pad=(80, 80), warp_slices=slice(8, -8, None), warp_lm_edge_anchors=array([[[ 0, 0],n [ 0, 63],n [63, 63],n [63, 0],n [31, 0],n [31, 63],n [63, 31],n [ 0, 31]],nn [[ 0, 0],n [ 0, 63],n [63, 63],n [63, 0],n [31, 0],n [31, 63],n [63, 31],n [ 0, 31]],nn [[ 0, 0],n [ 0, 63],n [63, 63],n [63, 0],n [31, 0],n [31, 63],n [63, 31],n [ 0, 31]],nn [[ 0, 0],n [ 0, 63],n [63, 63],n [63, 0],n [31, 0],n [31, 63],n [63, 31],n [ 0, 31]],nn [[ 0, 0],n [ 0, 63],n [63, 63],n [63, 0],n [31, 0],n [31, 63],n [63, 31],n [ 0, 31]],nn [[ 0, 0],n [ 0, 63],n [63, 63],n [63, 0],n [31, 0],n [31, 63],n [63, 31],n [ 0, 31]],nn [[ 0, 0],n [ 0, 63],n [63, 63],n [63, 0],n [31, 0],n [31, 63],n [63, 31],n [ 0, 31]],nn [[ 0, 0],n [ 0, 63],n [63, 63],n [63, 0],n [31, 0],n [31, 63],n [63, 31],n [ 0, 31]],nn [[ 0, 0],n [ 0, 63],n [63, 63],n [63, 0],n [31, 0],n [31, 63],n [63, 31],n [ 0, 31]],nn [[ 0, 0],n [ 0, 63],n [63, 63],n [63, 0],n [31, 0],n [31, 63],n [63, 31],n [ 0, 31]]]), warp_lm_grids=array([[[ 0., 0., 0., ..., 0., 0., 0.],n [ 1., 1., 1., ..., 1., 1., 1.],n [ 2., 2., 2., ..., 2., 2., 2.],n ...,n [61., 61., 61., ..., 61., 61., 61.],n [62., 62., 62., ..., 62., 62., 62.],n [63., 63., 63., ..., 63., 63., 63.]],nn [[ 0., 1., 2., ..., 61., 62., 63.],n [ 0., 1., 2., ..., 61., 62., 63.],n [ 0., 1., 2., ..., 61., 62., 63.],n ...,n [ 0., 1., 2., ..., 61., 62., 63.],n [ 0., 1., 2., ..., 61., 62., 63.],n [ 0., 1., 2., ..., 61., 62., 63.]]]))
- 07/25/2023 22:19:53 MainProcess _training augmentation __init__ DEBUG Initialized ImageAugmentation
- 07/25/2023 22:19:53 MainProcess _training generator __init__ DEBUG Initialized TrainingDataGenerator
- 07/25/2023 22:19:53 MainProcess _training generator minibatch_ab DEBUG do_shuffle: True
- 07/25/2023 22:19:53 MainProcess _training multithreading __init__ DEBUG Initializing BackgroundGenerator: (target: '_run', thread_count: 1)
- 07/25/2023 22:19:53 MainProcess _training multithreading __init__ DEBUG Initialized BackgroundGenerator: '_run'
- 07/25/2023 22:19:53 MainProcess _training multithreading start DEBUG Starting thread(s): '_run'
- 07/25/2023 22:19:53 MainProcess _training multithreading start DEBUG Starting thread 1 of 1: '_run'
- 07/25/2023 22:19:53 MainProcess _run generator _minibatch DEBUG Loading minibatch generator: (image_count: 334, do_shuffle: True)
- 07/25/2023 22:19:53 MainProcess _training multithreading start DEBUG Started all threads '_run': 1
- 07/25/2023 22:19:53 MainProcess _training _base _load_generator DEBUG Loading generator, side: b, is_display: False, batch_size: None
- 07/25/2023 22:19:53 MainProcess _training generator __init__ DEBUG Initializing TrainingDataGenerator: (model: original, side: b, images: 25 , batch_size: 10, config: {'centering': 'face', 'coverage': 87.5, 'icnr_init': False, 'conv_aware_init': False, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'save_optimizer': 'exit', 'autoclip': False, 'reflect_padding': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'loss_function_2': 'mse', 'loss_weight_2': 100, 'loss_function_3': None, 'loss_weight_3': 0, 'loss_function_4': None, 'loss_weight_4': 0, 'mask_loss_function': 'mse', '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, 'mask_opacity': 30, 'mask_color': '#ff0000', '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})
- 07/25/2023 22:19:53 MainProcess _training generator _get_output_sizes DEBUG side: b, model output shapes: [(None, 64, 64, 3), (None, 64, 64, 3)], output sizes: [64]
- 07/25/2023 22:19:53 MainProcess _training cache __init__ DEBUG Initializing: RingBuffer (batch_size: 10, image_shape: (64, 64, 6), buffer_size: 2, dtype: uint8
- 07/25/2023 22:19:53 MainProcess _training cache __init__ DEBUG Initialized: RingBuffer
- 07/25/2023 22:19:53 MainProcess _training cache get_cache DEBUG Creating cache. side: b, size: 64, coverage_ratio: 0.875
- 07/25/2023 22:19:53 MainProcess _training cache __init__ DEBUG Initializing: _Cache (filenames: 25, size: 64, coverage_ratio: 0.875)
- 07/25/2023 22:19:53 MainProcess _training cache __init__ DEBUG Initialized: _Cache
- 07/25/2023 22:19:53 MainProcess _training generator __init__ DEBUG Initialized TrainingDataGenerator
- 07/25/2023 22:19:53 MainProcess _training augmentation __init__ DEBUG Initializing ImageAugmentation: (batchsize: 10, processing_size: 64, config: {'centering': 'face', 'coverage': 87.5, 'icnr_init': False, 'conv_aware_init': False, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'save_optimizer': 'exit', 'autoclip': False, 'reflect_padding': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'loss_function_2': 'mse', 'loss_weight_2': 100, 'loss_function_3': None, 'loss_weight_3': 0, 'loss_function_4': None, 'loss_weight_4': 0, 'mask_loss_function': 'mse', '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, 'mask_opacity': 30, 'mask_color': '#ff0000', '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})
- 07/25/2023 22:19:53 MainProcess _training augmentation _get_constants DEBUG Initializing constants.
- 07/25/2023 22:19:53 MainProcess _training augmentation _get_constants DEBUG Initialized constants: AugConstants(clahe_base_contrast=2, clahe_chance=0.5, clahe_max_size=4, lab_adjust=array([0.3 , 0.08, 0.08], dtype=float32), transform_rotation=10, transform_zoom=0.05, transform_shift=3.2, warp_maps=array([[[[ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.]],nn [[ 0., 0., 0., 0., 0.],n [16., 16., 16., 16., 16.],n [32., 32., 32., 32., 32.],n [48., 48., 48., 48., 48.],n [64., 64., 64., 64., 64.]]],nnn [[[ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.]],nn [[ 0., 0., 0., 0., 0.],n [16., 16., 16., 16., 16.],n [32., 32., 32., 32., 32.],n [48., 48., 48., 48., 48.],n [64., 64., 64., 64., 64.]]],nnn [[[ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.]],nn [[ 0., 0., 0., 0., 0.],n [16., 16., 16., 16., 16.],n [32., 32., 32., 32., 32.],n [48., 48., 48., 48., 48.],n [64., 64., 64., 64., 64.]]],nnn [[[ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.]],nn [[ 0., 0., 0., 0., 0.],n [16., 16., 16., 16., 16.],n [32., 32., 32., 32., 32.],n [48., 48., 48., 48., 48.],n [64., 64., 64., 64., 64.]]],nnn [[[ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.]],nn [[ 0., 0., 0., 0., 0.],n [16., 16., 16., 16., 16.],n [32., 32., 32., 32., 32.],n [48., 48., 48., 48., 48.],n [64., 64., 64., 64., 64.]]],nnn [[[ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.]],nn [[ 0., 0., 0., 0., 0.],n [16., 16., 16., 16., 16.],n [32., 32., 32., 32., 32.],n [48., 48., 48., 48., 48.],n [64., 64., 64., 64., 64.]]],nnn [[[ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.]],nn [[ 0., 0., 0., 0., 0.],n [16., 16., 16., 16., 16.],n [32., 32., 32., 32., 32.],n [48., 48., 48., 48., 48.],n [64., 64., 64., 64., 64.]]],nnn [[[ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.]],nn [[ 0., 0., 0., 0., 0.],n [16., 16., 16., 16., 16.],n [32., 32., 32., 32., 32.],n [48., 48., 48., 48., 48.],n [64., 64., 64., 64., 64.]]],nnn [[[ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.]],nn [[ 0., 0., 0., 0., 0.],n [16., 16., 16., 16., 16.],n [32., 32., 32., 32., 32.],n [48., 48., 48., 48., 48.],n [64., 64., 64., 64., 64.]]],nnn [[[ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.],n [ 0., 16., 32., 48., 64.]],nn [[ 0., 0., 0., 0., 0.],n [16., 16., 16., 16., 16.],n [32., 32., 32., 32., 32.],n [48., 48., 48., 48., 48.],n [64., 64., 64., 64., 64.]]]], dtype=float32), warp_pad=(80, 80), warp_slices=slice(8, -8, None), warp_lm_edge_anchors=array([[[ 0, 0],n [ 0, 63],n [63, 63],n [63, 0],n [31, 0],n [31, 63],n [63, 31],n [ 0, 31]],nn [[ 0, 0],n [ 0, 63],n [63, 63],n [63, 0],n [31, 0],n [31, 63],n [63, 31],n [ 0, 31]],nn [[ 0, 0],n [ 0, 63],n [63, 63],n [63, 0],n [31, 0],n [31, 63],n [63, 31],n [ 0, 31]],nn [[ 0, 0],n [ 0, 63],n [63, 63],n [63, 0],n [31, 0],n [31, 63],n [63, 31],n [ 0, 31]],nn [[ 0, 0],n [ 0, 63],n [63, 63],n [63, 0],n [31, 0],n [31, 63],n [63, 31],n [ 0, 31]],nn [[ 0, 0],n [ 0, 63],n [63, 63],n [63, 0],n [31, 0],n [31, 63],n [63, 31],n [ 0, 31]],nn [[ 0, 0],n [ 0, 63],n [63, 63],n [63, 0],n [31, 0],n [31, 63],n [63, 31],n [ 0, 31]],nn [[ 0, 0],n [ 0, 63],n [63, 63],n [63, 0],n [31, 0],n [31, 63],n [63, 31],n [ 0, 31]],nn [[ 0, 0],n [ 0, 63],n [63, 63],n [63, 0],n [31, 0],n [31, 63],n [63, 31],n [ 0, 31]],nn [[ 0, 0],n [ 0, 63],n [63, 63],n [63, 0],n [31, 0],n [31, 63],n [63, 31],n [ 0, 31]]]), warp_lm_grids=array([[[ 0., 0., 0., ..., 0., 0., 0.],n [ 1., 1., 1., ..., 1., 1., 1.],n [ 2., 2., 2., ..., 2., 2., 2.],n ...,n [61., 61., 61., ..., 61., 61., 61.],n [62., 62., 62., ..., 62., 62., 62.],n [63., 63., 63., ..., 63., 63., 63.]],nn [[ 0., 1., 2., ..., 61., 62., 63.],n [ 0., 1., 2., ..., 61., 62., 63.],n [ 0., 1., 2., ..., 61., 62., 63.],n ...,n [ 0., 1., 2., ..., 61., 62., 63.],n [ 0., 1., 2., ..., 61., 62., 63.],n [ 0., 1., 2., ..., 61., 62., 63.]]]))
- 07/25/2023 22:19:53 MainProcess _training augmentation __init__ DEBUG Initialized ImageAugmentation
- 07/25/2023 22:19:53 MainProcess _training generator __init__ DEBUG Initialized TrainingDataGenerator
- 07/25/2023 22:19:53 MainProcess _training generator minibatch_ab DEBUG do_shuffle: True
- 07/25/2023 22:19:53 MainProcess _training multithreading __init__ DEBUG Initializing BackgroundGenerator: (target: '_run_0', thread_count: 1)
- 07/25/2023 22:19:53 MainProcess _training multithreading __init__ DEBUG Initialized BackgroundGenerator: '_run_0'
- 07/25/2023 22:19:53 MainProcess _training multithreading start DEBUG Starting thread(s): '_run_0'
- 07/25/2023 22:19:53 MainProcess _training multithreading start DEBUG Starting thread 1 of 1: '_run_0'
- 07/25/2023 22:19:53 MainProcess _run_0 generator _minibatch DEBUG Loading minibatch generator: (image_count: 25, do_shuffle: True)
- 07/25/2023 22:19:53 MainProcess _training multithreading start DEBUG Started all threads '_run_0': 1
- 07/25/2023 22:19:53 MainProcess _training _base _set_preview_feed DEBUG Setting preview feed: (side: 'a')
- 07/25/2023 22:19:53 MainProcess _training _base _load_generator DEBUG Loading generator, side: a, is_display: True, batch_size: 14
- 07/25/2023 22:19:53 MainProcess _training generator __init__ DEBUG Initializing PreviewDataGenerator: (model: original, side: a, images: 334 , batch_size: 14, config: {'centering': 'face', 'coverage': 87.5, 'icnr_init': False, 'conv_aware_init': False, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'save_optimizer': 'exit', 'autoclip': False, 'reflect_padding': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'loss_function_2': 'mse', 'loss_weight_2': 100, 'loss_function_3': None, 'loss_weight_3': 0, 'loss_function_4': None, 'loss_weight_4': 0, 'mask_loss_function': 'mse', '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, 'mask_opacity': 30, 'mask_color': '#ff0000', '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})
- 07/25/2023 22:19:53 MainProcess _training generator _get_output_sizes DEBUG side: a, model output shapes: [(None, 64, 64, 3), (None, 64, 64, 3)], output sizes: [64]
- 07/25/2023 22:19:53 MainProcess _training cache __init__ DEBUG Initializing: RingBuffer (batch_size: 14, image_shape: (64, 64, 6), buffer_size: 2, dtype: uint8
- 07/25/2023 22:19:53 MainProcess _training cache __init__ DEBUG Initialized: RingBuffer
- 07/25/2023 22:19:53 MainProcess _training generator __init__ DEBUG Initialized PreviewDataGenerator
- 07/25/2023 22:19:53 MainProcess _training generator minibatch_ab DEBUG do_shuffle: True
- 07/25/2023 22:19:53 MainProcess _training multithreading __init__ DEBUG Initializing BackgroundGenerator: (target: '_run_1', thread_count: 1)
- 07/25/2023 22:19:53 MainProcess _training multithreading __init__ DEBUG Initialized BackgroundGenerator: '_run_1'
- 07/25/2023 22:19:53 MainProcess _training multithreading start DEBUG Starting thread(s): '_run_1'
- 07/25/2023 22:19:53 MainProcess _training multithreading start DEBUG Starting thread 1 of 1: '_run_1'
- 07/25/2023 22:19:53 MainProcess _run_1 generator _minibatch DEBUG Loading minibatch generator: (image_count: 334, do_shuffle: True)
- 07/25/2023 22:19:53 MainProcess _training multithreading start DEBUG Started all threads '_run_1': 1
- 07/25/2023 22:19:53 MainProcess _training _base _set_preview_feed DEBUG Setting preview feed: (side: 'b')
- 07/25/2023 22:19:53 MainProcess _training _base _load_generator DEBUG Loading generator, side: b, is_display: True, batch_size: 14
- 07/25/2023 22:19:53 MainProcess _training generator __init__ DEBUG Initializing PreviewDataGenerator: (model: original, side: b, images: 25 , batch_size: 14, config: {'centering': 'face', 'coverage': 87.5, 'icnr_init': False, 'conv_aware_init': False, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'save_optimizer': 'exit', 'autoclip': False, 'reflect_padding': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'loss_function_2': 'mse', 'loss_weight_2': 100, 'loss_function_3': None, 'loss_weight_3': 0, 'loss_function_4': None, 'loss_weight_4': 0, 'mask_loss_function': 'mse', '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, 'mask_opacity': 30, 'mask_color': '#ff0000', '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})
- 07/25/2023 22:19:53 MainProcess _training generator _get_output_sizes DEBUG side: b, model output shapes: [(None, 64, 64, 3), (None, 64, 64, 3)], output sizes: [64]
- 07/25/2023 22:19:53 MainProcess _training cache __init__ DEBUG Initializing: RingBuffer (batch_size: 14, image_shape: (64, 64, 6), buffer_size: 2, dtype: uint8
- 07/25/2023 22:19:53 MainProcess _training cache __init__ DEBUG Initialized: RingBuffer
- 07/25/2023 22:19:53 MainProcess _training generator __init__ DEBUG Initialized PreviewDataGenerator
- 07/25/2023 22:19:53 MainProcess _training generator minibatch_ab DEBUG do_shuffle: True
- 07/25/2023 22:19:53 MainProcess _training multithreading __init__ DEBUG Initializing BackgroundGenerator: (target: '_run_2', thread_count: 1)
- 07/25/2023 22:19:53 MainProcess _training multithreading __init__ DEBUG Initialized BackgroundGenerator: '_run_2'
- 07/25/2023 22:19:53 MainProcess _training multithreading start DEBUG Starting thread(s): '_run_2'
- 07/25/2023 22:19:53 MainProcess _training multithreading start DEBUG Starting thread 1 of 1: '_run_2'
- 07/25/2023 22:19:53 MainProcess _run_2 generator _minibatch DEBUG Loading minibatch generator: (image_count: 25, do_shuffle: True)
- 07/25/2023 22:19:53 MainProcess _training multithreading start DEBUG Started all threads '_run_2': 1
- 07/25/2023 22:19:53 MainProcess _training _base __init__ DEBUG Initialized _Feeder:
- 07/25/2023 22:19:53 MainProcess _training _base _set_tensorboard DEBUG Enabling TensorBoard Logging
- 07/25/2023 22:19:53 MainProcess _training _base _set_tensorboard DEBUG Setting up TensorBoard Logging
- 07/25/2023 22:19:53 MainProcess _training _base _set_tensorboard VERBOSE Enabled TensorBoard Logging
- 07/25/2023 22:19:53 MainProcess _training _base __init__ DEBUG Initializing _Samples: model: '<plugins.train.model.original.Model object at 0x000002493E25B910>', coverage_ratio: 0.875, mask_opacity: 30, mask_color: #ff0000)
- 07/25/2023 22:19:53 MainProcess _training _base __init__ DEBUG Initialized _Samples
- 07/25/2023 22:19:53 MainProcess _training _base __init__ DEBUG Initializing _Timelapse: model: <plugins.train.model.original.Model object at 0x000002493E25B910>, coverage_ratio: 0.875, image_count: 14, mask_opacity: 30, mask_color: #ff0000, feeder: <plugins.train.trainer._base._Feeder object at 0x000002493E25B7F0>, image_paths: 2)
- 07/25/2023 22:19:53 MainProcess _training _base __init__ DEBUG Initializing _Samples: model: '<plugins.train.model.original.Model object at 0x000002493E25B910>', coverage_ratio: 0.875, mask_opacity: 30, mask_color: #ff0000)
- 07/25/2023 22:19:53 MainProcess _training _base __init__ DEBUG Initialized _Samples
- 07/25/2023 22:19:53 MainProcess _training _base __init__ DEBUG Initialized _Timelapse
- 07/25/2023 22:19:53 MainProcess _training _base __init__ DEBUG Initialized Trainer
- 07/25/2023 22:19:53 MainProcess _training train _load_trainer DEBUG Loaded Trainer
- 07/25/2023 22:19:53 MainProcess _training train _run_training_cycle DEBUG Running Training Cycle
- 07/25/2023 22:19:53 MainProcess _run_0 multithreading run DEBUG Error in thread (_run_0): setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (10,) + inhomogeneous part.
- 07/25/2023 22:19:53 MainProcess _run cache _validate_version DEBUG Setting initial extract version: 2.3
- 07/25/2023 22:19:53 MainProcess preview preview_cv _launch DEBUG Waiting for preview image
- 07/25/2023 22:19:53 MainProcess _run_2 multithreading run DEBUG Error in thread (_run_2): setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (14,) + inhomogeneous part.
- 07/25/2023 22:19:54 MainProcess _training multithreading check_and_raise_error DEBUG Thread error caught: [(<class 'ValueError'>, ValueError('setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (10,) + inhomogeneous part.'), <traceback object at 0x000002490784B180>)]
- 07/25/2023 22:19:54 MainProcess _training multithreading run DEBUG Error in thread (_training): setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (10,) + inhomogeneous part.
- 07/25/2023 22:19:54 MainProcess preview preview_cv _launch DEBUG Waiting for preview image
- 07/25/2023 22:19:54 MainProcess MainThread train _monitor DEBUG Thread error detected
- 07/25/2023 22:19:54 MainProcess MainThread train shutdown DEBUG Sending shutdown to preview viewer
- 07/25/2023 22:19:54 MainProcess MainThread train _monitor DEBUG Closed Monitor
- 07/25/2023 22:19:54 MainProcess MainThread train _end_thread DEBUG Ending Training thread
- 07/25/2023 22:19:54 MainProcess MainThread train _end_thread CRITICAL Error caught! Exiting...
- 07/25/2023 22:19:54 MainProcess MainThread multithreading join DEBUG Joining Threads: '_training'
- 07/25/2023 22:19:54 MainProcess MainThread multithreading join DEBUG Joining Thread: '_training'
- 07/25/2023 22:19:54 MainProcess MainThread multithreading join ERROR Caught exception in thread: '_training'
- Traceback (most recent call last):
- File "C:Usersmaxfaceswaplibclilauncher.py", line 225, in execute_script
- process.process()
- File "C:Usersmaxfaceswapscriptstrain.py", line 209, in process
- self._end_thread(thread, err)
- File "C:Usersmaxfaceswapscriptstrain.py", line 249, in _end_thread
- thread.join()
- File "C:Usersmaxfaceswaplibmultithreading.py", line 224, in join
- raise thread.err[1].with_traceback(thread.err[2])
- File "C:Usersmaxfaceswaplibmultithreading.py", line 100, in run
- self._target(*self._args, **self._kwargs)
- File "C:Usersmaxfaceswapscriptstrain.py", line 271, in _training
- raise err
- File "C:Usersmaxfaceswapscriptstrain.py", line 261, in _training
- self._run_training_cycle(model, trainer)
- File "C:Usersmaxfaceswapscriptstrain.py", line 349, in _run_training_cycle
- trainer.train_one_step(viewer, timelapse)
- File "C:Usersmaxfaceswappluginstraintrainer_base.py", line 211, in train_one_step
- model_inputs, model_targets = self._feeder.get_batch()
- File "C:Usersmaxfaceswappluginstraintrainer_base.py", line 457, in get_batch
- side_feed, side_targets = next(self._feeds[side])
- File "C:Usersmaxfaceswaplibmultithreading.py", line 296, in iterator
- self.check_and_raise_error()
- File "C:Usersmaxfaceswaplibmultithreading.py", line 173, in check_and_raise_error
- raise error[1].with_traceback(error[2])
- File "C:Usersmaxfaceswaplibmultithreading.py", line 100, in run
- self._target(*self._args, **self._kwargs)
- File "C:Usersmaxfaceswaplibmultithreading.py", line 279, in _run
- for item in self.generator(*self._gen_args, **self._gen_kwargs):
- File "C:Usersmaxfaceswaplibtraininggenerator.py", line 217, in _minibatch
- retval = self._process_batch(img_paths)
- File "C:Usersmaxfaceswaplibtraininggenerator.py", line 330, in _process_batch
- raw_faces, detected_faces = self._get_images_with_meta(filenames)
- File "C:Usersmaxfaceswaplibtraininggenerator.py", line 241, in _get_images_with_meta
- raw_faces = self._face_cache.cache_metadata(filenames)
- File "C:Usersmaxfaceswaplibtrainingcache.py", line 228, in cache_metadata
- batch, metadata = read_image_batch(filenames, with_metadata=True)
- File "C:Usersmaxfaceswaplibimage.py", line 378, in read_image_batch
- batch = np.array(batch)
- ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (10,) + inhomogeneous part.
- ============ System Information ============
- backend: nvidia
- encoding: cp1252
- git_branch: master
- git_commits: 81e3bf5 Merge pull request #1331 from torzdf/macos
- 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 4090
- gpu_devices_active: GPU_0
- gpu_driver: 536.67
- gpu_vram: GPU_0: 24564MB (903MB free)
- os_machine: AMD64
- os_platform: Windows-10-10.0.22621-SP0
- os_release: 10
- py_command: C:Usersmaxfaceswapfaceswap.py train -A C:/Users/max/Downloads/New Deepfake Project/Face A -B C:/Users/max/Downloads/New Deepfake Project/Face B -m C:/Users/max/Downloads/New Deepfake Project/Model -t original -bs 10 -it 1000000 -D default -s 250 -ss 25000 -tia C:/Users/max/Downloads/New Deepfake Project/Face A -tib C:/Users/max/Downloads/New Deepfake Project/Face B -to C:/Users/max/Downloads/New Deepfake Project/Timelapse -p -L INFO -gui
- py_conda_version: conda 23.5.2
- py_implementation: CPython
- py_version: 3.10.12
- py_virtual_env: True
- sys_cores: 32
- sys_processor: Intel64 Family 6 Model 183 Stepping 1, GenuineIntel
- sys_ram: Total: 32532MB, Available: 17221MB, Used: 15311MB, Free: 17221MB
- =============== Pip Packages ===============
- absl-py==1.4.0
- appdirs==1.4.4
- astunparse==1.6.3
- brotlipy==0.7.0
- cachetools==5.3.1
- certifi==2023.7.22
- cffi @ file:///C:/b/abs_49n3v2hyhr/croot/cffi_1670423218144/work
- charset-normalizer @ file:///tmp/build/80754af9/charset-normalizer_1630003229654/work
- colorama @ file:///C:/b/abs_a9ozq0l032/croot/colorama_1672387194846/work
- contourpy @ file:///C:/b/abs_d5rpy288vc/croots/recipe/contourpy_1663827418189/work
- cryptography @ file:///C:/b/abs_13590mi9q9/croot/cryptography_1689373706078/work
- cycler @ file:///tmp/build/80754af9/cycler_1637851556182/work
- fastcluster @ file:///D:/bld/fastcluster_1667859055985/work
- ffmpy @ file:///home/conda/feedstock_root/build_artifacts/ffmpy_1659474992694/work
- flatbuffers==23.5.26
- fonttools==4.25.0
- gast==0.4.0
- google-auth==2.22.0
- google-auth-oauthlib==0.4.6
- google-pasta==0.2.0
- grpcio==1.56.2
- h5py==3.9.0
- idna @ file:///C:/b/abs_bdhbebrioa/croot/idna_1666125572046/work
- imageio @ file:///C:/b/abs_27kq2gy1us/croot/imageio_1677879918708/work
- imageio-ffmpeg @ file:///home/conda/feedstock_root/build_artifacts/imageio-ffmpeg_1673483481485/work
- joblib @ file:///C:/b/abs_1anqjntpan/croot/joblib_1685113317150/work
- keras==2.10.0
- Keras-Preprocessing==1.1.2
- kiwisolver @ file:///C:/b/abs_88mdhvtahm/croot/kiwisolver_1672387921783/work
- libclang==16.0.6
- Markdown==3.4.4
- MarkupSafe==2.1.3
- matplotlib @ file:///C:/b/abs_49b2acwxd4/croot/matplotlib-suite_1679593486357/work
- mkl-fft==1.3.6
- mkl-random @ file:///C:/Users/dev-admin/mkl/mkl_random_1682977971003/work
- mkl-service==2.4.0
- munkres==1.1.4
- numexpr @ file:///C:/b/abs_afm0oewmmt/croot/numexpr_1683221839116/work
- numpy @ file:///C:/b/abs_5akk51tu0f/croot/numpy_and_numpy_base_1687466253743/work
- nvidia-ml-py @ file:///home/conda/feedstock_root/build_artifacts/nvidia-ml-py_1688681764027/work
- oauthlib==3.2.2
- opencv-python==4.8.0.74
- opt-einsum==3.3.0
- packaging @ file:///C:/b/abs_ed_kb9w6g4/croot/packaging_1678965418855/work
- Pillow==9.4.0
- ply==3.11
- pooch @ file:///tmp/build/80754af9/pooch_1623324770023/work
- protobuf==3.19.6
- psutil @ file:///C:/Windows/Temp/abs_b2c2fd7f-9fd5-4756-95ea-8aed74d0039flsd9qufz/croots/recipe/psutil_1656431277748/work
- pyasn1==0.5.0
- pyasn1-modules==0.3.0
- pycparser @ file:///tmp/build/80754af9/pycparser_1636541352034/work
- pyOpenSSL @ file:///C:/b/abs_08f38zyck4/croot/pyopenssl_1690225407403/work
- pyparsing @ file:///C:/Users/BUILDE~1/AppData/Local/Temp/abs_7f_7lba6rl/croots/recipe/pyparsing_1661452540662/work
- PyQt5==5.15.7
- PyQt5-sip @ file:///C:/Windows/Temp/abs_d7gmd2jg8i/croots/recipe/pyqt-split_1659273064801/work/pyqt_sip
- PySocks @ file:///C:/ci_310/pysocks_1642089375450/work
- python-dateutil @ file:///tmp/build/80754af9/python-dateutil_1626374649649/work
- pywin32==305.1
- pywinpty @ file:///C:/ci_310/pywinpty_1644230983541/work/target/wheels/pywinpty-2.0.2-cp310-none-win_amd64.whl
- requests @ file:///C:/b/abs_41owkd5ymz/croot/requests_1682607524657/work
- requests-oauthlib==1.3.1
- rsa==4.9
- scikit-learn @ file:///C:/b/abs_38k7ridbgr/croot/scikit-learn_1684954723009/work
- scipy==1.10.1
- sip @ file:///C:/Windows/Temp/abs_b8fxd17m2u/croots/recipe/sip_1659012372737/work
- six @ file:///tmp/build/80754af9/six_1644875935023/work
- tensorboard==2.10.1
- tensorboard-data-server==0.6.1
- tensorboard-plugin-wit==1.8.1
- tensorflow==2.10.1
- tensorflow-estimator==2.10.0
- tensorflow-io-gcs-filesystem==0.31.0
- termcolor==2.3.0
- threadpoolctl @ file:///Users/ktietz/demo/mc3/conda-bld/threadpoolctl_1629802263681/work
- toml @ file:///tmp/build/80754af9/toml_1616166611790/work
- tornado @ file:///C:/ci/tornado_1662476985533/work
- tqdm @ file:///C:/b/abs_f76j9hg7pv/croot/tqdm_1679561871187/work
- typing_extensions==4.7.1
- urllib3 @ file:///C:/b/abs_889_loyqv4/croot/urllib3_1686163174463/work
- Werkzeug==2.3.6
- win-inet-pton @ file:///C:/ci_310/win_inet_pton_1642658466512/work
- wrapt==1.15.0
- ============== Conda Packages ==============
- # packages in environment at C:UsersmaxMiniConda3envsfaceswap:
- #
- # Name Version Build Channel
- absl-py 1.4.0 pypi_0 pypi
- appdirs 1.4.4 pyhd3eb1b0_0
- astunparse 1.6.3 pypi_0 pypi
- blas 1.0 mkl
- brotli 1.0.9 h2bbff1b_7
- brotli-bin 1.0.9 h2bbff1b_7
- brotlipy 0.7.0 py310h2bbff1b_1002
- bzip2 1.0.8 he774522_0
- ca-certificates 2023.7.22 h56e8100_0 conda-forge
- cachetools 5.3.1 pypi_0 pypi
- certifi 2023.7.22 pyhd8ed1ab_0 conda-forge
- cffi 1.15.1 py310h2bbff1b_3
- charset-normalizer 2.0.4 pyhd3eb1b0_0
- colorama 0.4.6 py310haa95532_0
- contourpy 1.0.5 py310h59b6b97_0
- cryptography 41.0.2 py310h31511bf_0
- cudatoolkit 11.8.0 hd77b12b_0
- cudnn 8.9.2.26 cuda11_0
- cycler 0.11.0 pyhd3eb1b0_0
- fastcluster 1.2.6 py310h1c4a608_2 conda-forge
- ffmpeg 4.3.1 ha925a31_0 conda-forge
- ffmpy 0.3.0 pyhb6f538c_0 conda-forge
- flatbuffers 23.5.26 pypi_0 pypi
- fonttools 4.25.0 pyhd3eb1b0_0
- freetype 2.12.1 ha860e81_0
- gast 0.4.0 pypi_0 pypi
- giflib 5.2.1 h8cc25b3_3
- git 2.40.1 haa95532_1
- glib 2.69.1 h5dc1a3c_2
- google-auth 2.22.0 pypi_0 pypi
- google-auth-oauthlib 0.4.6 pypi_0 pypi
- google-pasta 0.2.0 pypi_0 pypi
- grpcio 1.56.2 pypi_0 pypi
- gst-plugins-base 1.18.5 h9e645db_0
- gstreamer 1.18.5 hd78058f_0
- h5py 3.9.0 pypi_0 pypi
- icc_rt 2022.1.0 h6049295_2
- icu 58.2 ha925a31_3
- idna 3.4 py310haa95532_0
- imageio 2.26.0 py310haa95532_0
- imageio-ffmpeg 0.4.8 pyhd8ed1ab_0 conda-forge
- intel-openmp 2023.1.0 h59b6b97_46319
- joblib 1.2.0 py310haa95532_0
- jpeg 9e h2bbff1b_1
- keras 2.10.0 pypi_0 pypi
- keras-preprocessing 1.1.2 pypi_0 pypi
- kiwisolver 1.4.4 py310hd77b12b_0
- krb5 1.19.4 h5b6d351_0
- lerc 3.0 hd77b12b_0
- libbrotlicommon 1.0.9 h2bbff1b_7
- libbrotlidec 1.0.9 h2bbff1b_7
- libbrotlienc 1.0.9 h2bbff1b_7
- libclang 16.0.6 pypi_0 pypi
- libclang13 14.0.6 default_h8e68704_1
- libdeflate 1.17 h2bbff1b_0
- libffi 3.4.4 hd77b12b_0
- libiconv 1.16 h2bbff1b_2
- libogg 1.3.5 h2bbff1b_1
- libpng 1.6.39 h8cc25b3_0
- libtiff 4.5.0 h6c2663c_2
- libvorbis 1.3.7 he774522_0
- libwebp 1.2.4 hbc33d0d_1
- libwebp-base 1.2.4 h2bbff1b_1
- libxml2 2.10.3 h0ad7f3c_0
- libxslt 1.1.37 h2bbff1b_0
- libzlib 1.2.13 hcfcfb64_5 conda-forge
- libzlib-wapi 1.2.13 hcfcfb64_5 conda-forge
- lz4-c 1.9.4 h2bbff1b_0
- markdown 3.4.4 pypi_0 pypi
- markupsafe 2.1.3 pypi_0 pypi
- matplotlib 3.7.1 py310haa95532_1
- matplotlib-base 3.7.1 py310h4ed8f06_1
- mkl 2023.1.0 h8bd8f75_46356
- mkl-service 2.4.0 py310h2bbff1b_1
- mkl_fft 1.3.6 py310h4ed8f06_1
- mkl_random 1.2.2 py310h4ed8f06_1
- munkres 1.1.4 py_0
- numexpr 2.8.4 py310h2cd9be0_1
- numpy 1.25.0 py310h055cbcc_0
- numpy-base 1.25.0 py310h65a83cf_0
- nvidia-ml-py 12.535.77 pyhd8ed1ab_0 conda-forge
- oauthlib 3.2.2 pypi_0 pypi
- opencv-python 4.8.0.74 pypi_0 pypi
- openssl 1.1.1u hcfcfb64_0 conda-forge
- opt-einsum 3.3.0 pypi_0 pypi
- packaging 23.0 py310haa95532_0
- pcre 8.45 hd77b12b_0
- pillow 9.4.0 py310hd77b12b_0
- pip 23.2.1 py310haa95532_0
- ply 3.11 py310haa95532_0
- pooch 1.4.0 pyhd3eb1b0_0
- protobuf 3.19.6 pypi_0 pypi
- psutil 5.9.0 py310h2bbff1b_0
- pyasn1 0.5.0 pypi_0 pypi
- pyasn1-modules 0.3.0 pypi_0 pypi
- pycparser 2.21 pyhd3eb1b0_0
- pyopenssl 23.2.0 py310haa95532_0
- pyparsing 3.0.9 py310haa95532_0
- pyqt 5.15.7 py310hd77b12b_0
- pyqt5-sip 12.11.0 py310hd77b12b_0
- pysocks 1.7.1 py310haa95532_0
- python 3.10.12 h966fe2a_0
- python-dateutil 2.8.2 pyhd3eb1b0_0
- python_abi 3.10 2_cp310 conda-forge
- pywin32 305 py310h2bbff1b_0
- pywinpty 2.0.2 py310h5da7b33_0
- qt-main 5.15.2 he8e5bd7_8
- qt-webengine 5.15.9 hb9a9bb5_5
- qtwebkit 5.212 h2bbfb41_5
- requests 2.29.0 py310haa95532_0
- requests-oauthlib 1.3.1 pypi_0 pypi
- rsa 4.9 pypi_0 pypi
- scikit-learn 1.2.2 py310hd77b12b_1
- scipy 1.10.1 py310h309d312_1
- setuptools 68.0.0 py310haa95532_0
- sip 6.6.2 py310hd77b12b_0
- six 1.16.0 pyhd3eb1b0_1
- sqlite 3.41.2 h2bbff1b_0
- tbb 2021.8.0 h59b6b97_0
- tensorboard 2.10.1 pypi_0 pypi
- tensorboard-data-server 0.6.1 pypi_0 pypi
- tensorboard-plugin-wit 1.8.1 pypi_0 pypi
- tensorflow 2.10.1 pypi_0 pypi
- tensorflow-estimator 2.10.0 pypi_0 pypi
- tensorflow-io-gcs-filesystem 0.31.0 pypi_0 pypi
- termcolor 2.3.0 pypi_0 pypi
- threadpoolctl 2.2.0 pyh0d69192_0
- tk 8.6.12 h2bbff1b_0
- toml 0.10.2 pyhd3eb1b0_0
- tornado 6.2 py310h2bbff1b_0
- tqdm 4.65.0 py310h9909e9c_0
- typing-extensions 4.7.1 pypi_0 pypi
- tzdata 2023c h04d1e81_0
- ucrt 10.0.22621.0 h57928b3_0 conda-forge
- urllib3 1.26.16 py310haa95532_0
- vc 14.2 h21ff451_1
- vc14_runtime 14.36.32532 hfdfe4a8_17 conda-forge
- vs2015_runtime 14.36.32532 h05e6639_17 conda-forge
- werkzeug 2.3.6 pypi_0 pypi
- wheel 0.38.4 py310haa95532_0
- win_inet_pton 1.1.0 py310haa95532_0
- winpty 0.4.3 4
- wrapt 1.15.0 pypi_0 pypi
- xz 5.4.2 h8cc25b3_0
- zlib 1.2.13 hcfcfb64_5 conda-forge
- zlib-wapi 1.2.13 hcfcfb64_5 conda-forge
- zstd 1.5.5 hd43e919_0
- =============== State File =================
- {
- "name": "original",
- "sessions": {
- "1": {
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- "no_logs": false,
- "loss_names": [
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- "face_b"
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- "batchsize": 3,
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- "config": {
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- "epsilon_exponent": -7,
- "save_optimizer": "exit",
- "autoclip": false,
- "allow_growth": false,
- "mixed_precision": false,
- "nan_protection": true,
- "convert_batchsize": 16,
- "loss_function": "ssim",
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- "loss_weight_3": 0,
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- "loss_weight_4": 0,
- "mask_loss_function": "mse",
- "eye_multiplier": 3,
- "mouth_multiplier": 2
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- "2": {
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- "loss_names": [
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- "batchsize": 10,
- "iterations": 1,
- "config": {
- "learning_rate": 5e-05,
- "epsilon_exponent": -7,
- "save_optimizer": "exit",
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- "nan_protection": true,
- "convert_batchsize": 16,
- "loss_function": "ssim",
- "loss_function_2": "mse",
- "loss_weight_2": 100,
- "loss_function_3": null,
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- "loss_weight_4": 0,
- "mask_loss_function": "mse",
- "eye_multiplier": 3,
- "mouth_multiplier": 2
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- "3": {
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- "no_logs": false,
- "loss_names": [
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- "face_a",
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- "nan_protection": true,
- "convert_batchsize": 16,
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- "batchsize": 1,
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- "epsilon_exponent": -7,
- "save_optimizer": "exit",
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- "mixed_precision": false,
- "nan_protection": true,
- "convert_batchsize": 16,
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- "loss_weight_2": 100,
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- "mask_loss_function": "mse",
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- "5": {
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- "loss_names": [
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- "batchsize": 1,
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- "config": {
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- "epsilon_exponent": -7,
- "save_optimizer": "exit",
- "autoclip": false,
- "allow_growth": false,
- "mixed_precision": false,
- "nan_protection": true,
- "convert_batchsize": 16,
- "loss_function": "ssim",
- "loss_function_2": "mse",
- "loss_weight_2": 100,
- "loss_function_3": null,
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- "loss_weight_4": 0,
- "mask_loss_function": "mse",
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- "mouth_multiplier": 2
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- "6": {
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- "loss_names": [
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- "batchsize": 1,
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- "config": {
- "learning_rate": 5e-05,
- "epsilon_exponent": -7,
- "save_optimizer": "exit",
- "autoclip": false,
- "allow_growth": false,
- "mixed_precision": false,
- "nan_protection": true,
- "convert_batchsize": 16,
- "loss_function": "ssim",
- "loss_function_2": "mse",
- "loss_weight_2": 100,
- "loss_function_3": null,
- "loss_weight_3": 0,
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- "loss_weight_4": 0,
- "mask_loss_function": "mse",
- "eye_multiplier": 3,
- "mouth_multiplier": 2
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- "7": {
- "timestamp": 1690335553.027847,
- "no_logs": false,
- "loss_names": [
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- "face_a",
- "face_b"
- ],
- "batchsize": 1,
- "iterations": 1,
- "config": {
- "learning_rate": 5e-05,
- "epsilon_exponent": -7,
- "save_optimizer": "exit",
- "autoclip": false,
- "allow_growth": false,
- "mixed_precision": false,
- "nan_protection": true,
- "convert_batchsize": 16,
- "loss_function": "ssim",
- "loss_function_2": "mse",
- "loss_weight_2": 100,
- "loss_function_3": null,
- "loss_weight_3": 0,
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- "loss_weight_4": 0,
- "mask_loss_function": "mse",
- "eye_multiplier": 3,
- "mouth_multiplier": 2
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- },
- "lowest_avg_loss": {
- "a": 0.29112768173217773,
- "b": 0.24843554198741913
- },
- "iterations": 7,
- "mixed_precision_layers": [
- "conv_128_0_conv2d",
- "conv_128_0_leakyrelu",
- "conv_256_0_conv2d",
- "conv_256_0_leakyrelu",
- "conv_512_0_conv2d",
- "conv_512_0_leakyrelu",
- "conv_1024_0_conv2d",
- "conv_1024_0_leakyrelu",
- "flatten",
- "dense",
- "dense_1",
- "reshape",
- "upscale_512_0_conv2d_conv2d",
- "upscale_512_0_conv2d_leakyrelu",
- "upscale_512_0_pixelshuffler",
- "upscale_256_0_conv2d_conv2d",
- "upscale_256_0_conv2d_leakyrelu",
- "upscale_256_0_pixelshuffler",
- "upscale_128_0_conv2d_conv2d",
- "upscale_128_0_conv2d_leakyrelu",
- "upscale_128_0_pixelshuffler",
- "upscale_64_0_conv2d_conv2d",
- "upscale_64_0_conv2d_leakyrelu",
- "upscale_64_0_pixelshuffler",
- "face_out_a_0_conv2d",
- "upscale_256_1_conv2d_conv2d",
- "upscale_256_1_conv2d_leakyrelu",
- "upscale_256_1_pixelshuffler",
- "upscale_128_1_conv2d_conv2d",
- "upscale_128_1_conv2d_leakyrelu",
- "upscale_128_1_pixelshuffler",
- "upscale_64_1_conv2d_conv2d",
- "upscale_64_1_conv2d_leakyrelu",
- "upscale_64_1_pixelshuffler",
- "face_out_b_0_conv2d"
- ],
- "config": {
- "centering": "face",
- "coverage": 87.5,
- "optimizer": "adam",
- "learning_rate": 5e-05,
- "epsilon_exponent": -7,
- "save_optimizer": "exit",
- "autoclip": false,
- "allow_growth": false,
- "mixed_precision": false,
- "nan_protection": true,
- "convert_batchsize": 16,
- "loss_function": "ssim",
- "loss_function_2": "mse",
- "loss_weight_2": 100,
- "loss_function_3": null,
- "loss_weight_3": 0,
- "loss_function_4": null,
- "loss_weight_4": 0,
- "mask_loss_function": "mse",
- "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.mask_blend]
- type: normalized
- kernel_size: 3
- passes: 4
- threshold: 4
- erosion: 0.0
- erosion_top: 0.0
- erosion_bottom: 0.0
- erosion_left: 0.0
- erosion_right: 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
- separate_mask: False
- jpg_quality: 75
- png_compress_level: 3
- [writer.pillow]
- format: png
- draw_transparent: False
- separate_mask: False
- optimize: False
- gif_interlace: True
- jpg_quality: 75
- png_compress_level: 3
- tif_compression: tiff_deflate
- --------- extract.ini ---------
- [global]
- allow_growth: False
- aligner_min_scale: 0.07
- aligner_max_scale: 2.0
- aligner_distance: 22.5
- aligner_roll: 45.0
- aligner_features: True
- filter_refeed: True
- save_filtered: False
- realign_refeeds: True
- filter_realign: True
- [align.fan]
- batch-size: 12
- [detect.cv2_dnn]
- confidence: 50
- [detect.mtcnn]
- minsize: 20
- scalefactor: 0.709
- batch-size: 8
- cpu: True
- 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
- cpu: False
- weights: faceswap
- include_ears: False
- include_hair: False
- include_glasses: True
- [mask.custom]
- batch-size: 8
- centering: face
- fill: False
- [mask.unet_dfl]
- batch-size: 8
- [mask.vgg_clear]
- batch-size: 6
- [mask.vgg_obstructed]
- batch-size: 2
- [recognition.vgg_face2]
- batch-size: 16
- cpu: False
- --------- gui.ini ---------
- [global]
- fullscreen: False
- tab: extract
- options_panel_width: 30
- console_panel_height: 20
- icon_size: 14
- font: default
- font_size: 9
- autosave_last_session: prompt
- timeout: 120
- auto_load_model_stats: True
- --------- train.ini ---------
- [global]
- centering: face
- coverage: 87.5
- icnr_init: False
- conv_aware_init: False
- optimizer: adam
- learning_rate: 5e-05
- epsilon_exponent: -7
- save_optimizer: exit
- autoclip: False
- reflect_padding: False
- allow_growth: False
- mixed_precision: False
- nan_protection: True
- convert_batchsize: 16
- [global.loss]
- loss_function: ssim
- loss_function_2: mse
- loss_weight_2: 100
- loss_function_3: none
- loss_weight_3: 0
- loss_function_4: none
- loss_weight_4: 0
- mask_loss_function: mse
- 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
- 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: 7
- 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_upscales_in_fc: 0
- dec_norm: none
- dec_min_filters: 64
- dec_max_filters: 512
- dec_slope_mode: full
- 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
- fs_original_use_alt: False
- mobilenet_width: 1.0
- mobilenet_depth: 1
- mobilenet_dropout: 0.001
- mobilenet_minimalistic: False
- [model.realface]
- input_size: 64
- output_size: 128
- dense_nodes: 1536
- complexity_encoder: 128
- complexity_decoder: 512
- [model.unbalanced]
- input_size: 128
- lowmem: False
- nodes: 1024
- complexity_encoder: 128
- complexity_decoder_a: 384
- complexity_decoder_b: 512
- [model.villain]
- lowmem: False
- [trainer.original]
- preview_images: 14
- mask_opacity: 30
- mask_color: #ff0000
- 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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