ValueError: setting an array element with a sequence
Posted: Sat Sep 18, 2021 11:10 am
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