ValueError: setting an array element with a sequence

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Groundseeker
Posts: 1
Joined: Sat Jan 09, 2021 4:54 pm

ValueError: setting an array element with a sequence

Post by Groundseeker »

Hello everyone,
after a long time i wanted to start some new tests.
I recently got a Problem in a new Project where i could not start my training.
I think i narrowed it down to the Mask Type.
I couldn't start with Unet-Dfl getting an Error. (attached log file)
As for Vgg-Obstructed it was possible to start training.
I wanted to find out how the "learn mask" Option Impacts and in my Opinion the the unet-dfl showed better relsults than the vgg. So im not sure if that makes a difference for the learning process.
Maybe some can find the Problem, i already checked for newer updates.

Code: Select all

09/18/2021 12:28:44 MainProcess     _training_0                    config          get                            DEBUG    Getting config item: (section: 'trainer.original', option: 'color_clahe_max_size')
09/18/2021 12:28:44 MainProcess     _training_0                    config          get                            DEBUG    Returning item: (type: <class 'int'>, value: 4)
09/18/2021 12:28:44 MainProcess     _training_0                    _base           add_session_batchsize          DEBUG    Adding session batch size: 8
09/18/2021 12:28:44 MainProcess     _training_0                    _base           __init__                       DEBUG    Initializing _Feeder: num_images: 2, batch_size: 8, config: {'centering': 'face', 'coverage': 85.0, 'icnr_init': False, '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': 4, 'mouth_multiplier': 4, 'penalized_mask_loss': True, 'mask_type': 'unet-dfl', 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': True, 'preview_images': 12, '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})
09/18/2021 12:28:44 MainProcess     _training_0                    _base           _load_generator                DEBUG    Loading generator
09/18/2021 12:28:44 MainProcess     _training_0                    _base           _load_generator                DEBUG    input_size: 64, output_shapes: [(384, 384, 3), (384, 384, 1)]
09/18/2021 12:28:44 MainProcess     _training_0                    generator       __init__                       DEBUG    Initializing TrainingDataGenerator: (model_input_size: 64, model_output_shapes: [(384, 384, 3), (384, 384, 1)], coverage_ratio: 0.85, color_order: bgr, augment_color: True, no_flip: False, no_warp: False, warp_to_landmarks: False, config: {'centering': 'face', 'coverage': 85.0, 'icnr_init': False, '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': 4, 'mouth_multiplier': 4, 'penalized_mask_loss': True, 'mask_type': 'unet-dfl', 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': True, 'preview_images': 12, '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})
09/18/2021 12:28:44 MainProcess     _training_0                    generator       __init__                       DEBUG    Initialized TrainingDataGenerator
09/18/2021 12:28:44 MainProcess     _training_0                    generator       minibatch_ab                   DEBUG    Queue batches: (image_count: 3812, batchsize: 8, side: 'a', do_shuffle: True, is_preview, False, is_timelapse: False)
09/18/2021 12:28:44 MainProcess     _training_0                    generator       _get_cache                     DEBUG    Creating cache. Side: a
09/18/2021 12:28:44 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Initializing ImageAugmentation: (batchsize: 8, is_display: False, input_size: 64, output_shapes: [(384, 384, 3), (384, 384, 1)], coverage_ratio: 0.85, config: {'centering': 'face', 'coverage': 85.0, 'icnr_init': False, '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': 4, 'mouth_multiplier': 4, 'penalized_mask_loss': True, 'mask_type': 'unet-dfl', 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': True, 'preview_images': 12, '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})
09/18/2021 12:28:44 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Output sizes: [384]
09/18/2021 12:28:44 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Initialized ImageAugmentation
09/18/2021 12:28:44 MainProcess     _training_0                    multithreading  __init__                       DEBUG    Initializing BackgroundGenerator: (target: '_run', thread_count: 2)
09/18/2021 12:28:44 MainProcess     _training_0                    multithreading  __init__                       DEBUG    Initialized BackgroundGenerator: '_run'
09/18/2021 12:28:44 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread(s): '_run'
09/18/2021 12:28:44 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread 1 of 2: '_run_0'
09/18/2021 12:28:44 MainProcess     _run_0                         generator       _minibatch                     DEBUG    Loading minibatch generator: (image_count: 3812, side: 'a', do_shuffle: True)
09/18/2021 12:28:44 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread 2 of 2: '_run_1'
09/18/2021 12:28:44 MainProcess     _run_1                         generator       _minibatch                     DEBUG    Loading minibatch generator: (image_count: 3812, side: 'a', do_shuffle: True)
09/18/2021 12:28:44 MainProcess     _training_0                    multithreading  start                          DEBUG    Started all threads '_run': 2
09/18/2021 12:28:44 MainProcess     _training_0                    _base           _load_generator                DEBUG    Loading generator
09/18/2021 12:28:44 MainProcess     _training_0                    _base           _load_generator                DEBUG    input_size: 64, output_shapes: [(384, 384, 3), (384, 384, 1)]
09/18/2021 12:28:44 MainProcess     _training_0                    generator       __init__                       DEBUG    Initializing TrainingDataGenerator: (model_input_size: 64, model_output_shapes: [(384, 384, 3), (384, 384, 1)], coverage_ratio: 0.85, color_order: bgr, augment_color: True, no_flip: False, no_warp: False, warp_to_landmarks: False, config: {'centering': 'face', 'coverage': 85.0, 'icnr_init': False, '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': 4, 'mouth_multiplier': 4, 'penalized_mask_loss': True, 'mask_type': 'unet-dfl', 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': True, 'preview_images': 12, '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})
09/18/2021 12:28:44 MainProcess     _training_0                    generator       __init__                       DEBUG    Initialized TrainingDataGenerator
09/18/2021 12:28:44 MainProcess     _training_0                    generator       minibatch_ab                   DEBUG    Queue batches: (image_count: 106, batchsize: 8, side: 'b', do_shuffle: True, is_preview, False, is_timelapse: False)
09/18/2021 12:28:44 MainProcess     _training_0                    generator       _get_cache                     DEBUG    Creating cache. Side: b
09/18/2021 12:28:44 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Initializing ImageAugmentation: (batchsize: 8, is_display: False, input_size: 64, output_shapes: [(384, 384, 3), (384, 384, 1)], coverage_ratio: 0.85, config: {'centering': 'face', 'coverage': 85.0, 'icnr_init': False, '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': 4, 'mouth_multiplier': 4, 'penalized_mask_loss': True, 'mask_type': 'unet-dfl', 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': True, 'preview_images': 12, '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})
09/18/2021 12:28:44 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Output sizes: [384]
09/18/2021 12:28:44 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Initialized ImageAugmentation
09/18/2021 12:28:44 MainProcess     _training_0                    multithreading  __init__                       DEBUG    Initializing BackgroundGenerator: (target: '_run', thread_count: 2)
09/18/2021 12:28:44 MainProcess     _training_0                    multithreading  __init__                       DEBUG    Initialized BackgroundGenerator: '_run'
09/18/2021 12:28:44 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread(s): '_run'
09/18/2021 12:28:44 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread 1 of 2: '_run_0'
09/18/2021 12:28:44 MainProcess     _run_0                         generator       _minibatch                     DEBUG    Loading minibatch generator: (image_count: 106, side: 'b', do_shuffle: True)
09/18/2021 12:28:44 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread 2 of 2: '_run_1'
09/18/2021 12:28:44 MainProcess     _run_1                         generator       _minibatch                     DEBUG    Loading minibatch generator: (image_count: 106, side: 'b', do_shuffle: True)
09/18/2021 12:28:44 MainProcess     _training_0                    multithreading  start                          DEBUG    Started all threads '_run': 2
09/18/2021 12:28:44 MainProcess     _training_0                    _base           _set_preview_feed              DEBUG    Setting preview feed: (side: 'a')
09/18/2021 12:28:44 MainProcess     _training_0                    _base           _load_generator                DEBUG    Loading generator
09/18/2021 12:28:44 MainProcess     _training_0                    _base           _load_generator                DEBUG    input_size: 64, output_shapes: [(384, 384, 3), (384, 384, 1)]
09/18/2021 12:28:44 MainProcess     _training_0                    generator       __init__                       DEBUG    Initializing TrainingDataGenerator: (model_input_size: 64, model_output_shapes: [(384, 384, 3), (384, 384, 1)], coverage_ratio: 0.85, color_order: bgr, augment_color: True, no_flip: False, no_warp: False, warp_to_landmarks: False, config: {'centering': 'face', 'coverage': 85.0, 'icnr_init': False, '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': 4, 'mouth_multiplier': 4, 'penalized_mask_loss': True, 'mask_type': 'unet-dfl', 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': True, 'preview_images': 12, '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})
09/18/2021 12:28:44 MainProcess     _training_0                    generator       __init__                       DEBUG    Initialized TrainingDataGenerator
09/18/2021 12:28:44 MainProcess     _training_0                    generator       minibatch_ab                   DEBUG    Queue batches: (image_count: 3812, batchsize: 12, side: 'a', do_shuffle: True, is_preview, True, is_timelapse: False)
09/18/2021 12:28:44 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Initializing ImageAugmentation: (batchsize: 12, is_display: True, input_size: 64, output_shapes: [(384, 384, 3), (384, 384, 1)], coverage_ratio: 0.85, config: {'centering': 'face', 'coverage': 85.0, 'icnr_init': False, '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': 4, 'mouth_multiplier': 4, 'penalized_mask_loss': True, 'mask_type': 'unet-dfl', 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': True, 'preview_images': 12, '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})
09/18/2021 12:28:44 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Output sizes: [384]
09/18/2021 12:28:44 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Initialized ImageAugmentation
09/18/2021 12:28:44 MainProcess     _training_0                    multithreading  __init__                       DEBUG    Initializing BackgroundGenerator: (target: '_run', thread_count: 2)
09/18/2021 12:28:44 MainProcess     _training_0                    multithreading  __init__                       DEBUG    Initialized BackgroundGenerator: '_run'
09/18/2021 12:28:44 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread(s): '_run'
09/18/2021 12:28:44 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread 1 of 2: '_run_0'
09/18/2021 12:28:44 MainProcess     _run_0                         generator       _minibatch                     DEBUG    Loading minibatch generator: (image_count: 3812, side: 'a', do_shuffle: True)
09/18/2021 12:28:44 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread 2 of 2: '_run_1'
09/18/2021 12:28:44 MainProcess     _run_1                         generator       _minibatch                     DEBUG    Loading minibatch generator: (image_count: 3812, side: 'a', do_shuffle: True)
09/18/2021 12:28:44 MainProcess     _training_0                    multithreading  start                          DEBUG    Started all threads '_run': 2
09/18/2021 12:28:44 MainProcess     _training_0                    _base           _set_preview_feed              DEBUG    Setting preview feed: (side: 'b')
09/18/2021 12:28:44 MainProcess     _training_0                    _base           _load_generator                DEBUG    Loading generator
09/18/2021 12:28:44 MainProcess     _training_0                    _base           _load_generator                DEBUG    input_size: 64, output_shapes: [(384, 384, 3), (384, 384, 1)]
09/18/2021 12:28:44 MainProcess     _training_0                    generator       __init__                       DEBUG    Initializing TrainingDataGenerator: (model_input_size: 64, model_output_shapes: [(384, 384, 3), (384, 384, 1)], coverage_ratio: 0.85, color_order: bgr, augment_color: True, no_flip: False, no_warp: False, warp_to_landmarks: False, config: {'centering': 'face', 'coverage': 85.0, 'icnr_init': False, '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': 4, 'mouth_multiplier': 4, 'penalized_mask_loss': True, 'mask_type': 'unet-dfl', 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': True, 'preview_images': 12, '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})
09/18/2021 12:28:44 MainProcess     _training_0                    generator       __init__                       DEBUG    Initialized TrainingDataGenerator
09/18/2021 12:28:44 MainProcess     _training_0                    generator       minibatch_ab                   DEBUG    Queue batches: (image_count: 106, batchsize: 12, side: 'b', do_shuffle: True, is_preview, True, is_timelapse: False)
09/18/2021 12:28:44 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Initializing ImageAugmentation: (batchsize: 12, is_display: True, input_size: 64, output_shapes: [(384, 384, 3), (384, 384, 1)], coverage_ratio: 0.85, config: {'centering': 'face', 'coverage': 85.0, 'icnr_init': False, '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': 4, 'mouth_multiplier': 4, 'penalized_mask_loss': True, 'mask_type': 'unet-dfl', 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': True, 'preview_images': 12, '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})
09/18/2021 12:28:44 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Output sizes: [384]
09/18/2021 12:28:44 MainProcess     _training_0                    augmentation    __init__                       DEBUG    Initialized ImageAugmentation
09/18/2021 12:28:44 MainProcess     _training_0                    multithreading  __init__                       DEBUG    Initializing BackgroundGenerator: (target: '_run', thread_count: 2)
09/18/2021 12:28:44 MainProcess     _training_0                    multithreading  __init__                       DEBUG    Initialized BackgroundGenerator: '_run'
09/18/2021 12:28:44 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread(s): '_run'
09/18/2021 12:28:44 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread 1 of 2: '_run_0'
09/18/2021 12:28:44 MainProcess     _run_0                         generator       _minibatch                     DEBUG    Loading minibatch generator: (image_count: 106, side: 'b', do_shuffle: True)
09/18/2021 12:28:44 MainProcess     _training_0                    multithreading  start                          DEBUG    Starting thread 2 of 2: '_run_1'
09/18/2021 12:28:44 MainProcess     _run_1                         generator       _minibatch                     DEBUG    Loading minibatch generator: (image_count: 106, side: 'b', do_shuffle: True)
09/18/2021 12:28:44 MainProcess     _training_0                    multithreading  start                          DEBUG    Started all threads '_run': 2
09/18/2021 12:28:44 MainProcess     _training_0                    _base           _set_preview_feed              DEBUG    Set preview feed. Batchsize: 12
09/18/2021 12:28:44 MainProcess     _training_0                    _base           __init__                       DEBUG    Initialized _Feeder:
09/18/2021 12:28:44 MainProcess     _training_0                    _base           _set_tensorboard               DEBUG    Enabling TensorBoard Logging
09/18/2021 12:28:44 MainProcess     _training_0                    _base           _set_tensorboard               DEBUG    Setting up TensorBoard Logging
09/18/2021 12:28:44 MainProcess     _training_0                    _base           _set_tensorboard               VERBOSE  Enabled TensorBoard Logging
09/18/2021 12:28:44 MainProcess     _training_0                    _base           __init__                       DEBUG    Initializing _Samples: model: '<plugins.train.model.phaze_a.Model object at 0x0000018246032670>', coverage_ratio: 0.85)
09/18/2021 12:28:44 MainProcess     _training_0                    _base           __init__                       DEBUG    Initialized _Samples
09/18/2021 12:28:44 MainProcess     _training_0                    _base           __init__                       DEBUG    Initializing _Timelapse: model: <plugins.train.model.phaze_a.Model object at 0x0000018246032670>, coverage_ratio: 0.85, image_count: 12, feeder: '<plugins.train.trainer._base._Feeder object at 0x0000018204818700>', image_paths: 2)
09/18/2021 12:28:44 MainProcess     _training_0                    _base           __init__                       DEBUG    Initializing _Samples: model: '<plugins.train.model.phaze_a.Model object at 0x0000018246032670>', coverage_ratio: 0.85)
09/18/2021 12:28:44 MainProcess     _training_0                    _base           __init__                       DEBUG    Initialized _Samples
09/18/2021 12:28:44 MainProcess     _training_0                    _base           __init__                       DEBUG    Initialized _Timelapse
09/18/2021 12:28:44 MainProcess     _training_0                    _base           __init__                       DEBUG    Initialized Trainer
09/18/2021 12:28:44 MainProcess     _training_0                    train           _load_trainer                  DEBUG    Loaded Trainer
09/18/2021 12:28:44 MainProcess     _training_0                    train           _run_training_cycle            DEBUG    Running Training Cycle
09/18/2021 12:28:44 MainProcess     _run_0                         generator       _validate_version              DEBUG    Setting initial extract version: 2.2
09/18/2021 12:28:44 MainProcess     _run_0                         generator       _validate_version              DEBUG    Setting initial extract version: 2.2
09/18/2021 12:28:44 MainProcess     _run_0                         multithreading  run                            DEBUG    Error in thread (_run_0): setting an array element with a sequence.
09/18/2021 12:28:44 MainProcess     _training_0                    multithreading  check_and_raise_error          DEBUG    Thread error caught: [(<class 'ValueError'>, ValueError('setting an array element with a sequence.'), <traceback object at 0x0000018204660E00>)]
09/18/2021 12:28:44 MainProcess     _training_0                    multithreading  run                            DEBUG    Error in thread (_training_0): setting an array element with a sequence.
09/18/2021 12:28:44 MainProcess     _run_0                         augmentation    initialize                     DEBUG    Initializing constants. training_size: 768
09/18/2021 12:28:44 MainProcess     _run_0                         augmentation    initialize                     DEBUG    Initialized constants: {'clahe_base_contrast': 6, 'tgt_slices': slice(58, 710, None), 'warp_mapx': '[[[ 58. 221. 384. 547. 710.]\n  [ 58. 221. 384. 547. 710.]\n  [ 58. 221. 384. 547. 710.]\n  [ 58. 221. 384. 547. 710.]\n  [ 58. 221. 384. 547. 710.]]\n\n [[ 58. 221. 384. 547. 710.]\n  [ 58. 221. 384. 547. 710.]\n  [ 58. 221. 384. 547. 710.]\n  [ 58. 221. 384. 547. 710.]\n  [ 58. 221. 384. 547. 710.]]\n\n [[ 58. 221. 384. 547. 710.]\n  [ 58. 221. 384. 547. 710.]\n  [ 58. 221. 384. 547. 710.]\n  [ 58. 221. 384. 547. 710.]\n  [ 58. 221. 384. 547. 710.]]\n\n [[ 58. 221. 384. 547. 710.]\n  [ 58. 221. 384. 547. 710.]\n  [ 58. 221. 384. 547. 710.]\n  [ 58. 221. 384. 547. 710.]\n  [ 58. 221. 384. 547. 710.]]\n\n [[ 58. 221. 384. 547. 710.]\n  [ 58. 221. 384. 547. 710.]\n  [ 58. 221. 384. 547. 710.]\n  [ 58. 221. 384. 547. 710.]\n  [ 58. 221. 384. 547. 710.]]\n\n [[ 58. 221. 384. 547. 710.]\n  [ 58. 221. 384. 547. 710.]\n  [ 58. 221. 384. 547. 710.]\n  [ 58. 221. 384. 547. 710.]\n  [ 58. 221. 384. 547. 710.]]\n\n [[ 58. 221. 384. 547. 710.]\n  [ 58. 221. 384. 547. 710.]\n  [ 58. 221. 384. 547. 710.]\n  [ 58. 221. 384. 547. 710.]\n  [ 58. 221. 384. 547. 710.]]\n\n [[ 58. 221. 384. 547. 710.]\n  [ 58. 221. 384. 547. 710.]\n  [ 58. 221. 384. 547. 710.]\n  [ 58. 221. 384. 547. 710.]\n  [ 58. 221. 384. 547. 710.]]]', 'warp_mapy': '[[[ 58.  58.  58.  58.  58.]\n  [221. 221. 221. 221. 221.]\n  [384. 384. 384. 384. 384.]\n  [547. 547. 547. 547. 547.]\n  [710. 710. 710. 710. 710.]]\n\n [[ 58.  58.  58.  58.  58.]\n  [221. 221. 221. 221. 221.]\n  [384. 384. 384. 384. 384.]\n  [547. 547. 547. 547. 547.]\n  [710. 710. 710. 710. 710.]]\n\n [[ 58.  58.  58.  58.  58.]\n  [221. 221. 221. 221. 221.]\n  [384. 384. 384. 384. 384.]\n  [547. 547. 547. 547. 547.]\n  [710. 710. 710. 710. 710.]]\n\n [[ 58.  58.  58.  58.  58.]\n  [221. 221. 221. 221. 221.]\n  [384. 384. 384. 384. 384.]\n  [547. 547. 547. 547. 547.]\n  [710. 710. 710. 710. 710.]]\n\n [[ 58.  58.  58.  58.  58.]\n  [221. 221. 221. 221. 221.]\n  [384. 384. 384. 384. 384.]\n  [547. 547. 547. 547. 547.]\n  [710. 710. 710. 710. 710.]]\n\n [[ 58.  58.  58.  58.  58.]\n  [221. 221. 221. 221. 221.]\n  [384. 384. 384. 384. 384.]\n  [547. 547. 547. 547. 547.]\n  [710. 710. 710. 710. 710.]]\n\n [[ 58.  58.  58.  58.  58.]\n  [221. 221. 221. 221. 221.]\n  [384. 384. 384. 384. 384.]\n  [547. 547. 547. 547. 547.]\n  [710. 710. 710. 710. 710.]]\n\n [[ 58.  58.  58.  58.  58.]\n  [221. 221. 221. 221. 221.]\n  [384. 384. 384. 384. 384.]\n  [547. 547. 547. 547. 547.]\n  [710. 710. 710. 710. 710.]]]', 'warp_pad': 80, 'warp_slices': slice(8, -8, None), 'warp_lm_edge_anchors': '[[[  0   0]\n  [  0 767]\n  [767 767]\n  [767   0]\n  [383   0]\n  [383 767]\n  [767 383]\n  [  0 383]]\n\n [[  0   0]\n  [  0 767]\n  [767 767]\n  [767   0]\n  [383   0]\n  [383 767]\n  [767 383]\n  [  0 383]]\n\n [[  0   0]\n  [  0 767]\n  [767 767]\n  [767   0]\n  [383   0]\n  [383 767]\n  [767 383]\n  [  0 383]]\n\n [[  0   0]\n  [  0 767]\n  [767 767]\n  [767   0]\n  [383   0]\n  [383 767]\n  [767 383]\n  [  0 383]]\n\n [[  0   0]\n  [  0 767]\n  [767 767]\n  [767   0]\n  [383   0]\n  [383 767]\n  [767 383]\n  [  0 383]]\n\n [[  0   0]\n  [  0 767]\n  [767 767]\n  [767   0]\n  [383   0]\n  [383 767]\n  [767 383]\n  [  0 383]]\n\n [[  0   0]\n  [  0 767]\n  [767 767]\n  [767   0]\n  [383   0]\n  [383 767]\n  [767 383]\n  [  0 383]]\n\n [[  0   0]\n  [  0 767]\n  [767 767]\n  [767   0]\n  [383   0]\n  [383 767]\n  [767 383]\n  [  0 383]]]', '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  [765. 765. 765. ... 765. 765. 765.]\n  [766. 766. 766. ... 766. 766. 766.]\n  [767. 767. 767. ... 767. 767. 767.]]\n\n [[  0.   1.   2. ... 765. 766. 767.]\n  [  0.   1.   2. ... 765. 766. 767.]\n  [  0.   1.   2. ... 765. 766. 767.]\n  ...\n  [  0.   1.   2. ... 765. 766. 767.]\n  [  0.   1.   2. ... 765. 766. 767.]\n  [  0.   1.   2. ... 765. 766. 767.]]]'}
09/18/2021 12:28:44 MainProcess     MainThread                     train           _monitor                       DEBUG    Thread error detected
09/18/2021 12:28:44 MainProcess     MainThread                     train           _monitor                       DEBUG    Closed Monitor
09/18/2021 12:28:44 MainProcess     MainThread                     train           _end_thread                    DEBUG    Ending Training thread
09/18/2021 12:28:44 MainProcess     MainThread                     train           _end_thread                    CRITICAL Error caught! Exiting...
09/18/2021 12:28:44 MainProcess     MainThread                     multithreading  join                           DEBUG    Joining Threads: '_training'
09/18/2021 12:28:44 MainProcess     MainThread                     multithreading  join                           DEBUG    Joining Thread: '_training_0'
09/18/2021 12:28:44 MainProcess     MainThread                     multithreading  join                           ERROR    Caught exception in thread: '_training_0'
TypeError: only size-1 arrays can be converted to Python scalars

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "C:\Users\Admin\FS\lib\cli\launcher.py", line 182, in execute_script
    process.process()
  File "C:\Users\Admin\FS\scripts\train.py", line 190, in process
    self._end_thread(thread, err)
  File "C:\Users\Admin\FS\scripts\train.py", line 230, in _end_thread
    thread.join()
  File "C:\Users\Admin\FS\lib\multithreading.py", line 121, in join
    raise thread.err[1].with_traceback(thread.err[2])
  File "C:\Users\Admin\FS\lib\multithreading.py", line 37, in run
    self._target(*self._args, **self._kwargs)
  File "C:\Users\Admin\FS\scripts\train.py", line 252, in _training
    raise err
  File "C:\Users\Admin\FS\scripts\train.py", line 242, in _training
    self._run_training_cycle(model, trainer)
  File "C:\Users\Admin\FS\scripts\train.py", line 327, in _run_training_cycle
    trainer.train_one_step(viewer, timelapse)
  File "C:\Users\Admin\FS\plugins\train\trainer\_base.py", line 191, in train_one_step
    model_inputs, model_targets = self._feeder.get_batch()
  File "C:\Users\Admin\FS\plugins\train\trainer\_base.py", line 416, in get_batch
    batch = next(self._feeds[side])
  File "C:\Users\Admin\FS\lib\multithreading.py", line 156, in iterator
    self.check_and_raise_error()
  File "C:\Users\Admin\FS\lib\multithreading.py", line 84, in check_and_raise_error
    raise error[1].with_traceback(error[2])
  File "C:\Users\Admin\FS\lib\multithreading.py", line 37, in run
    self._target(*self._args, **self._kwargs)
  File "C:\Users\Admin\FS\lib\multithreading.py", line 145, in _run
    for item in self.generator(*self._gen_args, **self._gen_kwargs):
  File "C:\Users\Admin\FS\lib\training\generator.py", line 598, in _minibatch
    yield self._process_batch(img_paths, side)
  File "C:\Users\Admin\FS\lib\training\generator.py", line 627, in _process_batch
    batch = self._apply_mask(filenames, cache, batch, side)
  File "C:\Users\Admin\FS\lib\training\generator.py", line 758, in _apply_mask
    masks = np.array([self._get_mask(item[key], size)
ValueError: setting an array element with a sequence.

============ System Information ============
encoding:            cp1252
git_branch:          master
git_commits:         860ccb9 Suppress Tensorflow stderr custom error messages. 24888f6 Suppress ptxas error in GUI on Windows. 15501b1 typofix. 7798a19 bugfix: _requirements_base.txt - Exclude badly versioned nvml. cf4b567 Tensorflow 2.6 Support (#1182)
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: Advanced Micro Devices, Inc. - gfx1030 (experimental)
gpu_devices_active:  GPU_0
gpu_driver:          ['3276.6 (PAL,LC)']
gpu_vram:            GPU_0: 16368MB
os_machine:          AMD64
os_platform:         Windows-10-10.0.19043-SP0
os_release:          10
py_command:          C:\Users\Admin\FS\faceswap.py train -A W:/Temp2/TrainsetA -B W:/Temp2/TrainsetB -m W:/Temp2/Model -t phaze-a -bs 8 -it 1000000 -s 250 -ss 25000 -ps 100 -L INFO -gui
py_conda_version:    conda 4.10.3
py_implementation:   CPython
py_version:          3.8.11
py_virtual_env:      True
sys_cores:           16
sys_processor:       AMD64 Family 23 Model 8 Stepping 2, AuthenticAMD
sys_ram:             Total: 32711MB, Available: 23690MB, Used: 9020MB, Free: 23690MB

=============== Pip Packages ===============
absl-py==0.13.0
astunparse==1.6.3
cachetools==4.2.2
certifi==2021.5.30
cffi==1.14.6
charset-normalizer==2.0.4
cycler==0.10.0
enum34==1.1.10
fastcluster==1.1.26
ffmpy==0.2.3
gast==0.3.3
google-auth==1.35.0
google-auth-oauthlib==0.4.5
google-pasta==0.2.0
grpcio==1.39.0
h5py==2.10.0
idna==3.2
imageio @ file:///tmp/build/80754af9/imageio_1617700267927/work
imageio-ffmpeg==0.4.5
joblib @ file:///tmp/build/80754af9/joblib_1613502643832/work
Keras==2.2.4
Keras-Applications==1.0.8
Keras-Preprocessing==1.1.2
kiwisolver @ file:///C:/ci/kiwisolver_1612282606037/work
Markdown==3.3.4
matplotlib @ file:///C:/ci/matplotlib-base_1592837548929/work
mkl-fft==1.3.0
mkl-random==1.1.1
mkl-service==2.3.0
numpy==1.18.5
nvidia-ml-py==11.470.66
nvidia-ml-py3 @ git+https://github.com/deepfakes/nvidia-ml-py3.git@6fc29ac84b32bad877f078cb4a777c1548a00bf6
oauthlib==3.1.1
olefile==0.46
opencv-python==4.5.3.56
opt-einsum==3.3.0
pathlib==1.0.1
Pillow @ file:///C:/ci/pillow_1625663293593/work
plaidml==0.7.0
plaidml-keras==0.7.0
protobuf==3.17.3
psutil @ file:///C:/ci/psutil_1612298324802/work
pyasn1==0.4.8
pyasn1-modules==0.2.8
pycparser==2.20
pyparsing @ file:///home/linux1/recipes/ci/pyparsing_1610983426697/work
python-dateutil @ file:///tmp/build/80754af9/python-dateutil_1626374649649/work
pywin32==228
PyYAML==5.4.1
requests==2.26.0
requests-oauthlib==1.3.0
rsa==4.7.2
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==2.2.2
tensorboard-plugin-wit==1.8.0
tensorflow==2.2.3
tensorflow-estimator==2.2.0
termcolor==1.1.0
threadpoolctl @ file:///Users/ktietz/demo/mc3/conda-bld/threadpoolctl_1628668762525/work
tornado @ file:///C:/ci/tornado_1606942392901/work
tqdm @ file:///tmp/build/80754af9/tqdm_1629302309755/work
urllib3==1.26.6
Werkzeug==2.0.1
wincertstore==0.2
wrapt==1.12.1

============== Conda Packages ==============
# packages in environment at C:\Users\Admin\MiniConda3\envs\FS-AMD:
#
# Name                    Version                   Build  Channel
absl-py                   0.13.0                   pypi_0    pypi
astunparse                1.6.3                    pypi_0    pypi
blas                      1.0                         mkl  
ca-certificates 2021.7.5 haa95532_1
cachetools 4.2.2 pypi_0 pypi certifi 2021.5.30 py38haa95532_0
cffi 1.14.6 pypi_0 pypi charset-normalizer 2.0.4 pypi_0 pypi cycler 0.10.0 py38_0
enum34 1.1.10 pypi_0 pypi fastcluster 1.1.26 py38h251f6bf_2 conda-forge ffmpy 0.2.3 pypi_0 pypi freetype 2.10.4 hd328e21_0
gast 0.3.3 pypi_0 pypi git 2.32.0 haa95532_1
google-auth 1.35.0 pypi_0 pypi google-auth-oauthlib 0.4.5 pypi_0 pypi google-pasta 0.2.0 pypi_0 pypi grpcio 1.39.0 pypi_0 pypi h5py 2.10.0 pypi_0 pypi icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha925a31_3
idna 3.2 pypi_0 pypi imageio 2.9.0 pyhd3eb1b0_0
imageio-ffmpeg 0.4.5 pypi_0 pypi intel-openmp 2021.3.0 haa95532_3372
joblib 1.0.1 pyhd3eb1b0_0
jpeg 9b hb83a4c4_2
keras 2.2.4 pypi_0 pypi keras-applications 1.0.8 pypi_0 pypi keras-preprocessing 1.1.2 pypi_0 pypi kiwisolver 1.3.1 py38hd77b12b_0
libpng 1.6.37 h2a8f88b_0
libtiff 4.2.0 hd0e1b90_0
lz4-c 1.9.3 h2bbff1b_1
markdown 3.3.4 pypi_0 pypi 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
numpy 1.18.5 pypi_0 pypi nvidia-ml-py 11.470.66 pypi_0 pypi nvidia-ml-py3 7.352.1 pypi_0 pypi oauthlib 3.1.1 pypi_0 pypi 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 pypi_0 pypi pathlib 1.0.1 py_1
pillow 8.3.1 py38h4fa10fc_0
pip 21.0.1 py38haa95532_0
plaidml 0.7.0 pypi_0 pypi plaidml-keras 0.7.0 pypi_0 pypi protobuf 3.17.3 pypi_0 pypi psutil 5.8.0 py38h2bbff1b_1
pyasn1 0.4.8 pypi_0 pypi pyasn1-modules 0.2.8 pypi_0 pypi pycparser 2.20 pypi_0 pypi pyparsing 2.4.7 pyhd3eb1b0_0
pyqt 5.9.2 py38ha925a31_4
python 3.8.11 h6244533_1
python-dateutil 2.8.2 pyhd3eb1b0_0
python_abi 3.8 2_cp38 conda-forge pywin32 228 py38hbaba5e8_1
pyyaml 5.4.1 pypi_0 pypi qt 5.9.7 vc14h73c81de_0
requests 2.26.0 pypi_0 pypi requests-oauthlib 1.3.0 pypi_0 pypi rsa 4.7.2 pypi_0 pypi 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 2.2.2 pypi_0 pypi tensorboard-plugin-wit 1.8.0 pypi_0 pypi tensorflow 2.2.3 pypi_0 pypi tensorflow-estimator 2.2.0 pypi_0 pypi termcolor 1.1.0 pypi_0 pypi threadpoolctl 2.2.0 pyhbf3da8f_0
tk 8.6.10 he774522_0
tornado 6.1 py38h2bbff1b_0
tqdm 4.62.1 pyhd3eb1b0_1
urllib3 1.26.6 pypi_0 pypi vc 14.2 h21ff451_1
vs2015_runtime 14.27.29016 h5e58377_2
werkzeug 2.0.1 pypi_0 pypi wheel 0.37.0 pyhd3eb1b0_0
wincertstore 0.2 py38_0
wrapt 1.12.1 pypi_0 pypi xz 5.2.5 h62dcd97_0
zlib 1.2.11 h62dcd97_4
zstd 1.4.9 h19a0ad4_0 ================= Configs ================== --------- .faceswap --------- backend: amd --------- 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: 6 passes: 4 threshold: 4 erosion: 0.0 [scaling.sharpen] method: unsharp_mask amount: 150 radius: 0.3 threshold: 5.0 [writer.ffmpeg] container: mov codec: libx264 crf: 20 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: 8 [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: 75 batch-size: 4 [mask.bisenet_fp] batch-size: 8 include_ears: False include_hair: False include_glasses: False [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: 85.0 icnr_init: False 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: 4 mouth_multiplier: 4 penalized_mask_loss: True mask_type: unet-dfl mask_blur_kernel: 3 mask_threshold: 4 learn_mask: True [model.dfaker] output_size: 256 [model.dfl_h128] lowmem: False [model.dfl_sae] input_size: 192 clipnorm: False architecture: liae autoencoder_dims: 0 encoder_dims: 42 decoder_dims: 21 multiscale_decoder: False [model.dlight] features: best details: good output_size: 128 [model.original] lowmem: False [model.phaze_a] output_size: 384 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: 256 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: 12 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

Locked