TypeError: 'builtin_function_or_method' object is not iterable

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Nafigond
Posts: 2
Joined: Sun Apr 18, 2021 8:47 pm

TypeError: 'builtin_function_or_method' object is not iterable

Post by Nafigond »

I‘ve extracted 2 faces already.But when I tried to traning the model,it always showed this error:

ERROR Caught exception in thread: '_training_0'
ERROR Got Exception on main handler:
TypeError: 'builtin_function_or_method' object is not iterable

And my Faceswap is already updated...What could be wrong?And there is a log of the crash in my documents,how can I upload it and report it?
Thanks for the helping

User avatar
Nafigond
Posts: 2
Joined: Sun Apr 18, 2021 8:47 pm

Re: TypeError: 'builtin_function_or_method' object is not iterable

Post by Nafigond »

Code: Select all

04/19/2021 11:32:06 MainProcess     _training_0                    config          get                            DEBUG    Returning item: (type: <class 'int'>, value: 50)
04/19/2021 11:32:06 MainProcess     _training_0                    config          get                            DEBUG    Getting config item: (section: 'trainer.original', option: 'color_lightness')
04/19/2021 11:32:06 MainProcess     _training_0                    config          get                            DEBUG    Returning item: (type: <class 'int'>, value: 30)
04/19/2021 11:32:06 MainProcess     _training_0                    config          get                            DEBUG    Getting config item: (section: 'trainer.original', option: 'color_ab')
04/19/2021 11:32:06 MainProcess     _training_0                    config          get                            DEBUG    Returning item: (type: <class 'int'>, value: 8)
04/19/2021 11:32:06 MainProcess     _training_0                    config          get                            DEBUG    Getting config item: (section: 'trainer.original', option: 'color_clahe_chance')
04/19/2021 11:32:06 MainProcess     _training_0                    config          get                            DEBUG    Returning item: (type: <class 'int'>, value: 50)
04/19/2021 11:32:06 MainProcess     _training_0                    config          get                            DEBUG    Getting config item: (section: 'trainer.original', option: 'color_clahe_max_size')
04/19/2021 11:32:06 MainProcess     _training_0                    config          get                            DEBUG    Returning item: (type: <class 'int'>, value: 4)
04/19/2021 11:32:06 MainProcess     _training_0                    _base           add_session_batchsize          DEBUG    Adding session batch size: 16
04/19/2021 11:32:06 MainProcess     _training_0                    _base           __init__                       DEBUG    Initializing _Feeder: num_images: 2, batch_size: 16, config: {'centering': 'legacy', 'coverage': 68.75, 'icnr_init': True, 'conv_aware_init': True, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'reflect_padding': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'mask_loss_function': 'mse', 'l2_reg_term': 100, 'eye_multiplier': 3, 'mouth_multiplier': 2, 'penalized_mask_loss': True, 'mask_type': 'vgg-clear', '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})
04/19/2021 11:32:06 MainProcess     _training_0                    _base           _load_generator                DEBUG    Loading generator
04/19/2021 11:32:06 MainProcess     _training_0                    _base           _load_generator                DEBUG    input_size: 64, output_shapes: [(64, 64, 3)]
04/19/2021 11:32:06 MainProcess     _training_0                    generator       __init__                       DEBUG    Initializing TrainingDataGenerator: (model_input_size: 64, model_output_shapes: [(64, 64, 3)], coverage_ratio: 0.6875, color_order: bgr, augment_color: True, no_flip: False, no_warp: False, warp_to_landmarks: False, config: {'centering': 'legacy', 'coverage': 68.75, 'icnr_init': True, 'conv_aware_init': True, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'reflect_padding': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'mask_loss_function': 'mse', 'l2_reg_term': 100, 'eye_multiplier': 3, 'mouth_multiplier': 2, 'penalized_mask_loss': True, 'mask_type': 'vgg-clear', '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})
04/19/2021 11:32:06 MainProcess     _training_0                    generator       __init__                       DEBUG    Initialized TrainingDataGenerator
04/19/2021 11:32:06 MainProcess     _training_0                    generator       minibatch_ab                   DEBUG    Queue batches: (image_count: 378, batchsize: 16, side: 'a', do_shuffle: True, is_preview, False, is_timelapse: False)
04/19/2021 11:32:06 MainProcess     _training_0                    generator       _get_cache                     DEBUG    Creating cache. Side: a
04/19/2021 11:32:06 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Initializing ImageAugmentation: (batchsize: 16, is_display: False, input_size: 64, output_shapes: [(64, 64, 3)], coverage_ratio: 0.6875, config: {'centering': 'legacy', 'coverage': 68.75, 'icnr_init': True, 'conv_aware_init': True, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'reflect_padding': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'mask_loss_function': 'mse', 'l2_reg_term': 100, 'eye_multiplier': 3, 'mouth_multiplier': 2, 'penalized_mask_loss': True, 'mask_type': 'vgg-clear', '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})
04/19/2021 11:32:06 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Output sizes: [64]
04/19/2021 11:32:06 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Initialized ImageAugmentation
04/19/2021 11:32:06 MainProcess     _training_0                    multithreading  __init__                       DEBUG    Initializing BackgroundGenerator: (target: '_run', thread_count: 2)
04/19/2021 11:32:06 MainProcess     _training_0                    multithreading  __init__                       DEBUG    Initialized BackgroundGenerator: '_run'
04/19/2021 11:32:06 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread(s): '_run'
04/19/2021 11:32:06 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread 1 of 2: '_run_0'
04/19/2021 11:32:06 MainProcess     _run_0                         generator       _minibatch                     DEBUG    Loading minibatch generator: (image_count: 378, side: 'a', do_shuffle: True)
04/19/2021 11:32:06 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread 2 of 2: '_run_1'
04/19/2021 11:32:06 MainProcess     _run_1                         generator       _minibatch                     DEBUG    Loading minibatch generator: (image_count: 378, side: 'a', do_shuffle: True)
04/19/2021 11:32:06 MainProcess     _training_0                    multithreading  start                          DEBUG    Started all threads '_run': 2
04/19/2021 11:32:06 MainProcess     _training_0                    _base           _load_generator                DEBUG    Loading generator
04/19/2021 11:32:06 MainProcess     _training_0                    _base           _load_generator                DEBUG    input_size: 64, output_shapes: [(64, 64, 3)]
04/19/2021 11:32:06 MainProcess     _training_0                    generator       __init__                       DEBUG    Initializing TrainingDataGenerator: (model_input_size: 64, model_output_shapes: [(64, 64, 3)], coverage_ratio: 0.6875, color_order: bgr, augment_color: True, no_flip: False, no_warp: False, warp_to_landmarks: False, config: {'centering': 'legacy', 'coverage': 68.75, 'icnr_init': True, 'conv_aware_init': True, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'reflect_padding': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'mask_loss_function': 'mse', 'l2_reg_term': 100, 'eye_multiplier': 3, 'mouth_multiplier': 2, 'penalized_mask_loss': True, 'mask_type': 'vgg-clear', '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})
04/19/2021 11:32:06 MainProcess     _training_0                    generator       __init__                       DEBUG    Initialized TrainingDataGenerator
04/19/2021 11:32:06 MainProcess     _training_0                    generator       minibatch_ab                   DEBUG    Queue batches: (image_count: 641, batchsize: 16, side: 'b', do_shuffle: True, is_preview, False, is_timelapse: False)
04/19/2021 11:32:06 MainProcess     _training_0                    generator       _get_cache                     DEBUG    Creating cache. Side: b
04/19/2021 11:32:06 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Initializing ImageAugmentation: (batchsize: 16, is_display: False, input_size: 64, output_shapes: [(64, 64, 3)], coverage_ratio: 0.6875, config: {'centering': 'legacy', 'coverage': 68.75, 'icnr_init': True, 'conv_aware_init': True, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'reflect_padding': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'mask_loss_function': 'mse', 'l2_reg_term': 100, 'eye_multiplier': 3, 'mouth_multiplier': 2, 'penalized_mask_loss': True, 'mask_type': 'vgg-clear', '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})
04/19/2021 11:32:06 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Output sizes: [64]
04/19/2021 11:32:06 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Initialized ImageAugmentation
04/19/2021 11:32:06 MainProcess     _training_0                    multithreading  __init__                       DEBUG    Initializing BackgroundGenerator: (target: '_run', thread_count: 2)
04/19/2021 11:32:06 MainProcess     _training_0                    multithreading  __init__                       DEBUG    Initialized BackgroundGenerator: '_run'
04/19/2021 11:32:06 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread(s): '_run'
04/19/2021 11:32:06 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread 1 of 2: '_run_0'
04/19/2021 11:32:06 MainProcess     _run_0                         generator       _minibatch                     DEBUG    Loading minibatch generator: (image_count: 641, side: 'b', do_shuffle: True)
04/19/2021 11:32:06 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread 2 of 2: '_run_1'
04/19/2021 11:32:06 MainProcess     _run_1                         generator       _minibatch                     DEBUG    Loading minibatch generator: (image_count: 641, side: 'b', do_shuffle: True)
04/19/2021 11:32:06 MainProcess     _training_0                    multithreading  start                          DEBUG    Started all threads '_run': 2
04/19/2021 11:32:06 MainProcess     _training_0                    _base           _set_preview_feed              DEBUG    Setting preview feed: (side: 'a')
04/19/2021 11:32:06 MainProcess     _training_0                    _base           _load_generator                DEBUG    Loading generator
04/19/2021 11:32:06 MainProcess     _training_0                    _base           _load_generator                DEBUG    input_size: 64, output_shapes: [(64, 64, 3)]
04/19/2021 11:32:06 MainProcess     _training_0                    generator       __init__                       DEBUG    Initializing TrainingDataGenerator: (model_input_size: 64, model_output_shapes: [(64, 64, 3)], coverage_ratio: 0.6875, color_order: bgr, augment_color: True, no_flip: False, no_warp: False, warp_to_landmarks: False, config: {'centering': 'legacy', 'coverage': 68.75, 'icnr_init': True, 'conv_aware_init': True, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'reflect_padding': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'mask_loss_function': 'mse', 'l2_reg_term': 100, 'eye_multiplier': 3, 'mouth_multiplier': 2, 'penalized_mask_loss': True, 'mask_type': 'vgg-clear', '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})
04/19/2021 11:32:06 MainProcess     _training_0                    generator       __init__                       DEBUG    Initialized TrainingDataGenerator
04/19/2021 11:32:06 MainProcess     _training_0                    generator       minibatch_ab                   DEBUG    Queue batches: (image_count: 378, batchsize: 14, side: 'a', do_shuffle: True, is_preview, True, is_timelapse: False)
04/19/2021 11:32:06 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Initializing ImageAugmentation: (batchsize: 14, is_display: True, input_size: 64, output_shapes: [(64, 64, 3)], coverage_ratio: 0.6875, config: {'centering': 'legacy', 'coverage': 68.75, 'icnr_init': True, 'conv_aware_init': True, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'reflect_padding': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'mask_loss_function': 'mse', 'l2_reg_term': 100, 'eye_multiplier': 3, 'mouth_multiplier': 2, 'penalized_mask_loss': True, 'mask_type': 'vgg-clear', '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})
04/19/2021 11:32:06 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Output sizes: [64]
04/19/2021 11:32:06 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Initialized ImageAugmentation
04/19/2021 11:32:06 MainProcess     _training_0                    multithreading  __init__                       DEBUG    Initializing BackgroundGenerator: (target: '_run', thread_count: 2)
04/19/2021 11:32:06 MainProcess     _training_0                    multithreading  __init__                       DEBUG    Initialized BackgroundGenerator: '_run'
04/19/2021 11:32:06 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread(s): '_run'
04/19/2021 11:32:06 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread 1 of 2: '_run_0'
04/19/2021 11:32:06 MainProcess     _run_0                         generator       _minibatch                     DEBUG    Loading minibatch generator: (image_count: 378, side: 'a', do_shuffle: True)
04/19/2021 11:32:06 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread 2 of 2: '_run_1'
04/19/2021 11:32:06 MainProcess     _run_1                         generator       _minibatch                     DEBUG    Loading minibatch generator: (image_count: 378, side: 'a', do_shuffle: True)
04/19/2021 11:32:06 MainProcess     _training_0                    multithreading  start                          DEBUG    Started all threads '_run': 2
04/19/2021 11:32:06 MainProcess     _training_0                    _base           _set_preview_feed              DEBUG    Setting preview feed: (side: 'b')
04/19/2021 11:32:06 MainProcess     _training_0                    _base           _load_generator                DEBUG    Loading generator
04/19/2021 11:32:06 MainProcess     _training_0                    _base           _load_generator                DEBUG    input_size: 64, output_shapes: [(64, 64, 3)]
04/19/2021 11:32:06 MainProcess     _training_0                    generator       __init__                       DEBUG    Initializing TrainingDataGenerator: (model_input_size: 64, model_output_shapes: [(64, 64, 3)], coverage_ratio: 0.6875, color_order: bgr, augment_color: True, no_flip: False, no_warp: False, warp_to_landmarks: False, config: {'centering': 'legacy', 'coverage': 68.75, 'icnr_init': True, 'conv_aware_init': True, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'reflect_padding': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'mask_loss_function': 'mse', 'l2_reg_term': 100, 'eye_multiplier': 3, 'mouth_multiplier': 2, 'penalized_mask_loss': True, 'mask_type': 'vgg-clear', '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})
04/19/2021 11:32:06 MainProcess     _training_0                    generator       __init__                       DEBUG    Initialized TrainingDataGenerator
04/19/2021 11:32:06 MainProcess     _training_0                    generator       minibatch_ab                   DEBUG    Queue batches: (image_count: 641, batchsize: 14, side: 'b', do_shuffle: True, is_preview, True, is_timelapse: False)
04/19/2021 11:32:06 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Initializing ImageAugmentation: (batchsize: 14, is_display: True, input_size: 64, output_shapes: [(64, 64, 3)], coverage_ratio: 0.6875, config: {'centering': 'legacy', 'coverage': 68.75, 'icnr_init': True, 'conv_aware_init': True, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'reflect_padding': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'mask_loss_function': 'mse', 'l2_reg_term': 100, 'eye_multiplier': 3, 'mouth_multiplier': 2, 'penalized_mask_loss': True, 'mask_type': 'vgg-clear', '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})
04/19/2021 11:32:06 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Output sizes: [64]
04/19/2021 11:32:06 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Initialized ImageAugmentation
04/19/2021 11:32:06 MainProcess     _training_0                    multithreading  __init__                       DEBUG    Initializing BackgroundGenerator: (target: '_run', thread_count: 2)
04/19/2021 11:32:06 MainProcess     _training_0                    multithreading  __init__                       DEBUG    Initialized BackgroundGenerator: '_run'
04/19/2021 11:32:06 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread(s): '_run'
04/19/2021 11:32:06 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread 1 of 2: '_run_0'
04/19/2021 11:32:06 MainProcess     _run_0                         generator       _minibatch                     DEBUG    Loading minibatch generator: (image_count: 641, side: 'b', do_shuffle: True)
04/19/2021 11:32:06 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread 2 of 2: '_run_1'
04/19/2021 11:32:06 MainProcess     _run_1                         generator       _minibatch                     DEBUG    Loading minibatch generator: (image_count: 641, side: 'b', do_shuffle: True)
04/19/2021 11:32:06 MainProcess     _training_0                    multithreading  start                          DEBUG    Started all threads '_run': 2
04/19/2021 11:32:06 MainProcess     _training_0                    _base           _set_preview_feed              DEBUG    Set preview feed. Batchsize: 14
04/19/2021 11:32:06 MainProcess     _training_0                    _base           __init__                       DEBUG    Initialized _Feeder:
04/19/2021 11:32:06 MainProcess     _training_0                    _base           _set_tensorboard               DEBUG    Enabling TensorBoard Logging
04/19/2021 11:32:06 MainProcess     _training_0                    _base           _set_tensorboard               DEBUG    Setting up TensorBoard Logging
04/19/2021 11:32:06 MainProcess     _training_0                    _base           _set_tensorboard               VERBOSE  Enabled TensorBoard Logging
04/19/2021 11:32:06 MainProcess     _training_0                    _base           __init__                       DEBUG    Initializing _Samples: model: '<plugins.train.model.original.Model object at 0x0000014A408BF190>', coverage_ratio: 0.6875)
04/19/2021 11:32:06 MainProcess     _training_0                    _base           __init__                       DEBUG    Initialized _Samples
04/19/2021 11:32:06 MainProcess     _training_0                    _base           __init__                       DEBUG    Initializing _Timelapse: model: <plugins.train.model.original.Model object at 0x0000014A408BF190>, coverage_ratio: 0.6875, image_count: 14, feeder: '<plugins.train.trainer._base._Feeder object at 0x0000014A409C06A0>', image_paths: 2)
04/19/2021 11:32:06 MainProcess     _training_0                    _base           __init__                       DEBUG    Initializing _Samples: model: '<plugins.train.model.original.Model object at 0x0000014A408BF190>', coverage_ratio: 0.6875)
04/19/2021 11:32:06 MainProcess     _training_0                    _base           __init__                       DEBUG    Initialized _Samples
04/19/2021 11:32:06 MainProcess     _training_0                    _base           __init__                       DEBUG    Initialized _Timelapse
04/19/2021 11:32:06 MainProcess     _training_0                    _base           __init__                       DEBUG    Initialized Trainer
04/19/2021 11:32:06 MainProcess     _training_0                    train           _load_trainer                  DEBUG    Loaded Trainer
04/19/2021 11:32:06 MainProcess     _training_0                    train           _run_training_cycle            DEBUG    Running Training Cycle
04/19/2021 11:32:06 MainProcess     _run_0                         generator       _validate_version              DEBUG    Setting initial extract version: 2.1
04/19/2021 11:32:06 MainProcess     _run_0                         multithreading  run                            DEBUG    Error in thread (_run_0): 'builtin_function_or_method' object is not iterable
04/19/2021 11:32:06 MainProcess     _training_0                    multithreading  check_and_raise_error          DEBUG    Thread error caught: [(<class 'TypeError'>, TypeError("'builtin_function_or_method' object is not iterable"), <traceback object at 0x0000014A4B45DA40>)]
04/19/2021 11:32:06 MainProcess     _training_0                    multithreading  run                            DEBUG    Error in thread (_training_0): 'builtin_function_or_method' object is not iterable
04/19/2021 11:32:06 MainProcess     MainThread                     multithreading  join                           ERROR    Caught exception in thread: '_training_0'
04/19/2021 11:32:06 MainProcess     _run_0                         generator       _validate_version              DEBUG    Setting initial extract version: 2.1
04/19/2021 11:32:06 MainProcess     _run_0                         multithreading  run                            DEBUG    Error in thread (_run_0): 'builtin_function_or_method' object is not iterable
Traceback (most recent call last):
  File "C:\Users\DAVID\faceswap\lib\cli\launcher.py", line 182, in execute_script
    process.process()
  File "C:\Users\DAVID\faceswap\scripts\train.py", line 187, in process
    self._end_thread(thread, err)
  File "C:\Users\DAVID\faceswap\scripts\train.py", line 227, in _end_thread
    thread.join()
  File "C:\Users\DAVID\faceswap\lib\multithreading.py", line 121, in join
    raise thread.err[1].with_traceback(thread.err[2])
  File "C:\Users\DAVID\faceswap\lib\multithreading.py", line 37, in run
    self._target(*self._args, **self._kwargs)
  File "C:\Users\DAVID\faceswap\scripts\train.py", line 249, in _training
    raise err
  File "C:\Users\DAVID\faceswap\scripts\train.py", line 239, in _training
    self._run_training_cycle(model, trainer)
  File "C:\Users\DAVID\faceswap\scripts\train.py", line 319, in _run_training_cycle
    trainer.train_one_step(viewer, timelapse)
  File "C:\Users\DAVID\faceswap\plugins\train\trainer\_base.py", line 187, in train_one_step
    model_inputs, model_targets = self._feeder.get_batch()
  File "C:\Users\DAVID\faceswap\plugins\train\trainer\_base.py", line 411, in get_batch
    batch = next(self._feeds[side])
  File "C:\Users\DAVID\faceswap\lib\multithreading.py", line 156, in iterator
    self.check_and_raise_error()
  File "C:\Users\DAVID\faceswap\lib\multithreading.py", line 84, in check_and_raise_error
    raise error[1].with_traceback(error[2])
  File "C:\Users\DAVID\faceswap\lib\multithreading.py", line 37, in run
    self._target(*self._args, **self._kwargs)
  File "C:\Users\DAVID\faceswap\lib\multithreading.py", line 145, in _run
    for item in self.generator(*self._gen_args, **self._gen_kwargs):
  File "C:\Users\DAVID\faceswap\lib\training\generator.py", line 589, in _minibatch
    yield self._process_batch(img_paths, side)
  File "C:\Users\DAVID\faceswap\lib\training\generator.py", line 612, in _process_batch
    batch = self._face_cache.cache_metadata(filenames)
  File "C:\Users\DAVID\faceswap\lib\training\generator.py", line 226, in cache_metadata
    self._add_mask(filename, detected_face)
  File "C:\Users\DAVID\faceswap\lib\training\generator.py", line 380, in _add_mask
    self._config["mask_type"], filename, list(detected_face.mask.keys)))
TypeError: 'builtin_function_or_method' object is not iterable

============ System Information ============
encoding:            cp1252
git_branch:          master
git_commits:         c900036 GUI - Analysis Bugfix    - Get correct length of loss labels when carrying over raw data
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 MX250
gpu_devices_active:  GPU_0
gpu_driver:          466.11
gpu_vram:            GPU_0: 2048MB
os_machine:          AMD64
os_platform:         Windows-10-10.0.19041-SP0
os_release:          10
py_command:          C:\Users\DAVID\faceswap\faceswap.py train -A D:/xyw -B C:/Users/DAVID/Desktop/新建文件夹/新建文件夹 (2)/新建文件夹 (3) -m C:/Users/DAVID/Desktop/新建文件夹/新建文件夹 (2)/mod -t original -bs 16 -it 1000000 -s 100 -ss 25000 -ps 50 -L INFO -gui
py_conda_version:    conda 4.10.1
py_implementation:   CPython
py_version:          3.8.8
py_virtual_env:      True
sys_cores:           8
sys_processor:       Intel64 Family 6 Model 142 Stepping 11, GenuineIntel
sys_ram:             Total: 8037MB, Available: 3339MB, Used: 4698MB, Free: 3339MB

=============== Pip Packages ===============
absl-py @ file:///C:/ci/absl-py_1615411229697/work
aiohttp @ file:///C:/ci/aiohttp_1614361024229/work
astunparse==1.6.3
async-timeout==3.0.1
attrs @ file:///tmp/build/80754af9/attrs_1604765588209/work
blinker==1.4
brotlipy==0.7.0
cachetools @ file:///tmp/build/80754af9/cachetools_1611600262290/work
certifi==2020.12.5
cffi @ file:///C:/ci/cffi_1613247279197/work
chardet @ file:///C:/ci/chardet_1605303225733/work
click @ file:///home/linux1/recipes/ci/click_1610990599742/work
coverage @ file:///C:/ci/coverage_1614615074147/work
cryptography @ file:///C:/ci/cryptography_1616769344312/work
cycler==0.10.0
Cython @ file:///C:/ci/cython_1618435363327/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_1617985782425/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 @ file:///home/conda/feedstock_root/build_artifacts/imageio-ffmpeg_1609799311556/work
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==3.1.0
olefile==0.46
opencv-python==4.5.1.48
opt-einsum==3.1.0
pathlib==1.0.1
Pillow @ file:///C:/ci/pillow_1617386341487/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==1.7.1
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:///home/ktietz/src/ci/python-dateutil_1611928101742/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_1614446896245/work
scipy @ file:///C:/ci/scipy_1616703433439/work
sip==4.19.13
six @ file:///C:/ci/six_1605187374963/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:///tmp/build/80754af9/tensorflow-estimator_1599136169057/work/whl_temp/tensorflow_estimator-2.3.0-py2.py3-none-any.whl
termcolor==1.1.0
threadpoolctl @ file:///tmp/tmp9twdgx9k/threadpoolctl-2.1.0-py3-none-any.whl
tornado @ file:///C:/ci/tornado_1606942392901/work
tqdm @ file:///tmp/build/80754af9/tqdm_1615925068909/work
typing-extensions @ file:///tmp/build/80754af9/typing_extensions_1611751222202/work
urllib3 @ file:///tmp/build/80754af9/urllib3_1615837158687/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_1615904174917/work

============== Conda Packages ==============
# packages in environment at C:\Users\DAVID\MiniConda3\envs\faceswap:
#
# Name                    Version                   Build  Channel
_tflow_select             2.3.0                       gpu  
absl-py 0.12.0 py38haa95532_0
aiohttp 3.7.4 py38h2bbff1b_1
astunparse 1.6.3 py_0
async-timeout 3.0.1 py38haa95532_0
attrs 20.3.0 pyhd3eb1b0_0
blas 1.0 mkl
blinker 1.4 py38haa95532_0
brotlipy 0.7.0 py38h2bbff1b_1003
ca-certificates 2021.4.13 haa95532_1
cachetools 4.2.1 pyhd3eb1b0_0
certifi 2020.12.5 py38haa95532_0
cffi 1.14.5 py38hcd4344a_0
chardet 3.0.4 py38haa95532_1003
click 7.1.2 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 0.29.23 py38hd77b12b_0
fastcluster 1.1.26 py38h251f6bf_2 conda-forge ffmpeg 4.3.1 ha925a31_0 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 1.28.1 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 0.4.3 pyhd8ed1ab_0 conda-forge importlib-metadata 3.10.0 py38haa95532_0
intel-openmp 2020.2 254
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 4.1.0 h56a325e_1
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 3.1.0 py_0
olefile 0.46 py_0
opencv-python 4.5.1.48 pypi_0 pypi openssl 1.1.1k h2bbff1b_0
opt_einsum 3.1.0 py_0
pathlib 1.0.1 py_1
pillow 8.2.0 py38h4fa10fc_0
pip 21.0.1 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 1.7.1 py38_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 3.8.8 hdbf39b2_5
python-dateutil 2.8.1 pyhd3eb1b0_0
python_abi 3.8 1_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 0.24.1 py38hf11a4ad_0
scipy 1.6.2 py38h14eb087_0
setuptools 52.0.0 py38haa95532_0
sip 4.19.13 py38ha925a31_0
six 1.15.0 py38haa95532_0
sqlite 3.35.4 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 2.3.0 pyheb71bc4_0
tensorflow-gpu 2.3.0 he13fc11_0
termcolor 1.1.0 py38haa95532_1
threadpoolctl 2.1.0 pyh5ca1d4c_0
tk 8.6.10 he774522_0
tornado 6.1 py38h2bbff1b_0
tqdm 4.59.0 pyhd3eb1b0_1
typing-extensions 3.7.4.3 hd3eb1b0_0
typing_extensions 3.7.4.3 pyh06a4308_0
urllib3 1.26.4 pyhd3eb1b0_0
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 3.4.1 pyhd3eb1b0_0
zlib 1.2.11 h62dcd97_4
zstd 1.4.9 h19a0ad4_0 ================= Configs ================== --------- .faceswap --------- backend: nvidia --------- convert.ini --------- [color.color_transfer] clip: True preserve_paper: True [color.manual_balance] colorspace: HSV balance_1: 0.0 balance_2: 0.0 balance_3: 0.0 contrast: 0.0 brightness: 0.0 [color.match_hist] threshold: 99.0 [mask.box_blend] type: gaussian distance: 11.0 radius: 5.0 passes: 1 [mask.mask_blend] type: normalized kernel_size: 3 passes: 4 threshold: 4 erosion: 0.0 [scaling.sharpen] method: none amount: 150 radius: 0.3 threshold: 5.0 [writer.ffmpeg] container: mp4 codec: libx264 crf: 23 preset: medium tune: none profile: auto level: auto skip_mux: False [writer.gif] fps: 25 loop: 0 palettesize: 256 subrectangles: False [writer.opencv] format: png draw_transparent: False jpg_quality: 75 png_compress_level: 3 [writer.pillow] format: png draw_transparent: False optimize: False gif_interlace: True jpg_quality: 75 png_compress_level: 3 tif_compression: tiff_deflate --------- extract.ini --------- [global] allow_growth: 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.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: legacy coverage: 68.75 icnr_init: True conv_aware_init: True optimizer: adam learning_rate: 5e-05 epsilon_exponent: -7 reflect_padding: False allow_growth: False mixed_precision: False nan_protection: True convert_batchsize: 16 [global.loss] loss_function: ssim mask_loss_function: mse l2_reg_term: 100 eye_multiplier: 3 mouth_multiplier: 2 penalized_mask_loss: True mask_type: vgg-clear 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.realface] input_size: 64 output_size: 128 dense_nodes: 1536 complexity_encoder: 128 complexity_decoder: 512 [model.unbalanced] input_size: 128 lowmem: False clipnorm: True nodes: 1024 complexity_encoder: 128 complexity_decoder_a: 384 complexity_decoder_b: 512 [model.villain] lowmem: False [trainer.original] preview_images: 14 zoom_amount: 5 rotation_range: 10 shift_range: 5 flip_chance: 50 color_lightness: 30 color_ab: 8 color_clahe_chance: 50 color_clahe_max_size: 4
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torzdf
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Re: TypeError: 'builtin_function_or_method' object is not iterable

Post by torzdf »

This bug has been fixed. Please update and try again

My word is final

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