Forum help me plz!!!
the software told me
Code: Select all
06/07/2022 13:18:07 INFO Loading Trainer from Original plugin...
06/07/2022 13:18:10 CRITICAL Error caught! Exiting...
06/07/2022 13:18:10 ERROR Caught exception in thread: '_training_0'
06/07/2022 13:18:13 ERROR Got Exception on main handler:
Traceback (most recent call last):
File "C:\Users\Administrator\faceswap\lib\cli\launcher.py", line 182, in execute_script
process.process()
File "C:\Users\Administrator\faceswap\scripts\train.py", line 190, in process
self._end_thread(thread, err)
File "C:\Users\Administrator\faceswap\scripts\train.py", line 230, in _end_thread
thread.join()
File "C:\Users\Administrator\faceswap\lib\multithreading.py", line 121, in join
raise thread.err[1].with_traceback(thread.err[2])
File "C:\Users\Administrator\faceswap\lib\multithreading.py", line 37, in run
self._target(*self._args, **self._kwargs)
File "C:\Users\Administrator\faceswap\scripts\train.py", line 252, in _training
raise err
File "C:\Users\Administrator\faceswap\scripts\train.py", line 242, in _training
self._run_training_cycle(model, trainer)
File "C:\Users\Administrator\faceswap\scripts\train.py", line 327, in _run_training_cycle
trainer.train_one_step(viewer, timelapse)
File "C:\Users\Administrator\faceswap\plugins\train\trainer\_base.py", line 194, in train_one_step
loss = self._model.model.train_on_batch(model_inputs, y=model_targets)
File "D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py", line 1695, in train_on_batch
logs = train_function(iterator)
File "D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\eager\def_function.py", line 780, in __call__
result = self._call(*args, **kwds)
File "D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\eager\def_function.py", line 823, in _call
self._initialize(args, kwds, add_initializers_to=initializers)
File "D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\eager\def_function.py", line 696, in _initialize
self._stateful_fn._get_concrete_function_internal_garbage_collected( # pylint: disable=protected-access
File "D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\eager\function.py", line 2855, in _get_concrete_function_internal_garbage_collected
graph_function, _, _ = self._maybe_define_function(args, kwargs)
File "D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\eager\function.py", line 3213, in _maybe_define_function
graph_function = self._create_graph_function(args, kwargs)
File "D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\eager\function.py", line 3065, in _create_graph_function
func_graph_module.func_graph_from_py_func(
File "D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\framework\func_graph.py", line 986, in func_graph_from_py_func
func_outputs = python_func(*func_args, **func_kwargs)
File "D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\eager\def_function.py", line 600, in wrapped_fn
return weak_wrapped_fn().__wrapped__(*args, **kwds)
File "D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\framework\func_graph.py", line 973, in wrapper
raise e.ag_error_metadata.to_exception(e)
AttributeError: in user code:
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py:806 train_function *
return step_function(self, iterator)
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py:796 step_function **
outputs = model.distribute_strategy.run(run_step, args=(data,))
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\distribute\distribute_lib.py:1211 run
return self._extended.call_for_each_replica(fn, args=args, kwargs=kwargs)
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\distribute\distribute_lib.py:2585 call_for_each_replica
return self._call_for_each_replica(fn, args, kwargs)
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\distribute\distribute_lib.py:2945 _call_for_each_replica
return fn(*args, **kwargs)
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py:789 run_step **
outputs = model.train_step(data)
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py:748 train_step
loss = self.compiled_loss(
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\compile_utils.py:187 __call__
self.build(y_pred)
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\compile_utils.py:140 build
self._losses = nest.map_structure(self._get_loss_object, self._losses)
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\util\nest.py:635 map_structure
structure[0], [func(*x) for x in entries],
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\util\nest.py:635 <listcomp>
structure[0], [func(*x) for x in entries],
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\compile_utils.py:265 _get_loss_object
loss_name = loss.__name__
AttributeError: 'LossWrapper' object has no attribute '__name__'
06/07/2022 13:18:13 CRITICAL An unexpected crash has occurred. Crash report written to 'C:\Users\Administrator\faceswap\crash_report.2022.06.07.131810556838.log'. You MUST provide this file if seeking assistance. Please verify you are running the latest version of faceswap before reporting
Process exited.[/quote]
and there is the crush report in the following text
[quote]06/07/2022 13:18:07 MainProcess _training_0 _base _load_generator DEBUG Loading generator
06/07/2022 13:18:07 MainProcess _training_0 _base _load_generator DEBUG input_size: 64, output_shapes: [(64, 64, 3)]
06/07/2022 13:18:07 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': 'face', 'coverage': 68.75, 'icnr_init': False, 'conv_aware_init': False, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'reflect_padding': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'mask_loss_function': 'mse', 'l2_reg_term': 100, 'eye_multiplier': 3, 'mouth_multiplier': 2, 'penalized_mask_loss': True, 'mask_type': 'extended', 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': False, 'preview_images': 14, 'zoom_amount': 5, 'rotation_range': 10, 'shift_range': 5, 'flip_chance': 50, 'color_lightness': 30, 'color_ab': 8, 'color_clahe_chance': 50, 'color_clahe_max_size': 4})
06/07/2022 13:18:07 MainProcess _training_0 generator __init__ DEBUG Initialized TrainingDataGenerator
06/07/2022 13:18:07 MainProcess _training_0 generator minibatch_ab DEBUG Queue batches: (image_count: 5449, batchsize: 64, side: 'a', do_shuffle: True, is_preview, False, is_timelapse: False)
06/07/2022 13:18:07 MainProcess _training_0 generator _get_cache DEBUG Creating cache. Side: a
06/07/2022 13:18:07 MainProcess _training_0 augmentation __init__ DEBUG Initializing ImageAugmentation: (batchsize: 64, is_display: False, input_size: 64, output_shapes: [(64, 64, 3)], coverage_ratio: 0.6875, config: {'centering': 'face', 'coverage': 68.75, 'icnr_init': False, 'conv_aware_init': False, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'reflect_padding': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'mask_loss_function': 'mse', 'l2_reg_term': 100, 'eye_multiplier': 3, 'mouth_multiplier': 2, 'penalized_mask_loss': True, 'mask_type': 'extended', 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': False, 'preview_images': 14, 'zoom_amount': 5, 'rotation_range': 10, 'shift_range': 5, 'flip_chance': 50, 'color_lightness': 30, 'color_ab': 8, 'color_clahe_chance': 50, 'color_clahe_max_size': 4})
06/07/2022 13:18:07 MainProcess _training_0 augmentation __init__ DEBUG Output sizes: [64]
06/07/2022 13:18:07 MainProcess _training_0 augmentation __init__ DEBUG Initialized ImageAugmentation
06/07/2022 13:18:07 MainProcess _training_0 multithreading __init__ DEBUG Initializing BackgroundGenerator: (target: '_run', thread_count: 2)
06/07/2022 13:18:07 MainProcess _training_0 multithreading __init__ DEBUG Initialized BackgroundGenerator: '_run'
06/07/2022 13:18:07 MainProcess _training_0 multithreading start DEBUG Starting thread(s): '_run'
06/07/2022 13:18:07 MainProcess _training_0 multithreading start DEBUG Starting thread 1 of 2: '_run_0'
06/07/2022 13:18:07 MainProcess _run_0 generator _minibatch DEBUG Loading minibatch generator: (image_count: 5449, side: 'a', do_shuffle: True)
06/07/2022 13:18:07 MainProcess _training_0 multithreading start DEBUG Starting thread 2 of 2: '_run_1'
06/07/2022 13:18:07 MainProcess _run_1 generator _minibatch DEBUG Loading minibatch generator: (image_count: 5449, side: 'a', do_shuffle: True)
06/07/2022 13:18:07 MainProcess _training_0 multithreading start DEBUG Started all threads '_run': 2
06/07/2022 13:18:07 MainProcess _training_0 _base _load_generator DEBUG Loading generator
06/07/2022 13:18:07 MainProcess _training_0 _base _load_generator DEBUG input_size: 64, output_shapes: [(64, 64, 3)]
06/07/2022 13:18:07 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': 'face', 'coverage': 68.75, 'icnr_init': False, 'conv_aware_init': False, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'reflect_padding': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'mask_loss_function': 'mse', 'l2_reg_term': 100, 'eye_multiplier': 3, 'mouth_multiplier': 2, 'penalized_mask_loss': True, 'mask_type': 'extended', 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': False, 'preview_images': 14, 'zoom_amount': 5, 'rotation_range': 10, 'shift_range': 5, 'flip_chance': 50, 'color_lightness': 30, 'color_ab': 8, 'color_clahe_chance': 50, 'color_clahe_max_size': 4})
06/07/2022 13:18:07 MainProcess _training_0 generator __init__ DEBUG Initialized TrainingDataGenerator
06/07/2022 13:18:07 MainProcess _training_0 generator minibatch_ab DEBUG Queue batches: (image_count: 5743, batchsize: 64, side: 'b', do_shuffle: True, is_preview, False, is_timelapse: False)
06/07/2022 13:18:07 MainProcess _training_0 generator _get_cache DEBUG Creating cache. Side: b
06/07/2022 13:18:07 MainProcess _training_0 augmentation __init__ DEBUG Initializing ImageAugmentation: (batchsize: 64, is_display: False, input_size: 64, output_shapes: [(64, 64, 3)], coverage_ratio: 0.6875, config: {'centering': 'face', 'coverage': 68.75, 'icnr_init': False, 'conv_aware_init': False, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'reflect_padding': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'mask_loss_function': 'mse', 'l2_reg_term': 100, 'eye_multiplier': 3, 'mouth_multiplier': 2, 'penalized_mask_loss': True, 'mask_type': 'extended', 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': False, 'preview_images': 14, 'zoom_amount': 5, 'rotation_range': 10, 'shift_range': 5, 'flip_chance': 50, 'color_lightness': 30, 'color_ab': 8, 'color_clahe_chance': 50, 'color_clahe_max_size': 4})
06/07/2022 13:18:07 MainProcess _training_0 augmentation __init__ DEBUG Output sizes: [64]
06/07/2022 13:18:07 MainProcess _training_0 augmentation __init__ DEBUG Initialized ImageAugmentation
06/07/2022 13:18:07 MainProcess _training_0 multithreading __init__ DEBUG Initializing BackgroundGenerator: (target: '_run', thread_count: 2)
06/07/2022 13:18:07 MainProcess _training_0 multithreading __init__ DEBUG Initialized BackgroundGenerator: '_run'
06/07/2022 13:18:07 MainProcess _training_0 multithreading start DEBUG Starting thread(s): '_run'
06/07/2022 13:18:07 MainProcess _training_0 multithreading start DEBUG Starting thread 1 of 2: '_run_0'
06/07/2022 13:18:07 MainProcess _run_0 generator _minibatch DEBUG Loading minibatch generator: (image_count: 5743, side: 'b', do_shuffle: True)
06/07/2022 13:18:07 MainProcess _training_0 multithreading start DEBUG Starting thread 2 of 2: '_run_1'
06/07/2022 13:18:07 MainProcess _run_1 generator _minibatch DEBUG Loading minibatch generator: (image_count: 5743, side: 'b', do_shuffle: True)
06/07/2022 13:18:07 MainProcess _training_0 multithreading start DEBUG Started all threads '_run': 2
06/07/2022 13:18:07 MainProcess _training_0 _base _set_preview_feed DEBUG Setting preview feed: (side: 'a')
06/07/2022 13:18:07 MainProcess _training_0 _base _load_generator DEBUG Loading generator
06/07/2022 13:18:07 MainProcess _training_0 _base _load_generator DEBUG input_size: 64, output_shapes: [(64, 64, 3)]
06/07/2022 13:18:07 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': 'face', 'coverage': 68.75, 'icnr_init': False, 'conv_aware_init': False, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'reflect_padding': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'mask_loss_function': 'mse', 'l2_reg_term': 100, 'eye_multiplier': 3, 'mouth_multiplier': 2, 'penalized_mask_loss': True, 'mask_type': 'extended', 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': False, 'preview_images': 14, 'zoom_amount': 5, 'rotation_range': 10, 'shift_range': 5, 'flip_chance': 50, 'color_lightness': 30, 'color_ab': 8, 'color_clahe_chance': 50, 'color_clahe_max_size': 4})
06/07/2022 13:18:07 MainProcess _training_0 generator __init__ DEBUG Initialized TrainingDataGenerator
06/07/2022 13:18:07 MainProcess _training_0 generator minibatch_ab DEBUG Queue batches: (image_count: 5449, batchsize: 14, side: 'a', do_shuffle: True, is_preview, True, is_timelapse: False)
06/07/2022 13:18:07 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': 'face', 'coverage': 68.75, 'icnr_init': False, 'conv_aware_init': False, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'reflect_padding': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'mask_loss_function': 'mse', 'l2_reg_term': 100, 'eye_multiplier': 3, 'mouth_multiplier': 2, 'penalized_mask_loss': True, 'mask_type': 'extended', 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': False, 'preview_images': 14, 'zoom_amount': 5, 'rotation_range': 10, 'shift_range': 5, 'flip_chance': 50, 'color_lightness': 30, 'color_ab': 8, 'color_clahe_chance': 50, 'color_clahe_max_size': 4})
06/07/2022 13:18:07 MainProcess _training_0 augmentation __init__ DEBUG Output sizes: [64]
06/07/2022 13:18:07 MainProcess _training_0 augmentation __init__ DEBUG Initialized ImageAugmentation
06/07/2022 13:18:07 MainProcess _training_0 multithreading __init__ DEBUG Initializing BackgroundGenerator: (target: '_run', thread_count: 2)
06/07/2022 13:18:07 MainProcess _training_0 multithreading __init__ DEBUG Initialized BackgroundGenerator: '_run'
06/07/2022 13:18:07 MainProcess _training_0 multithreading start DEBUG Starting thread(s): '_run'
06/07/2022 13:18:07 MainProcess _training_0 multithreading start DEBUG Starting thread 1 of 2: '_run_0'
06/07/2022 13:18:07 MainProcess _run_0 generator _minibatch DEBUG Loading minibatch generator: (image_count: 5449, side: 'a', do_shuffle: True)
06/07/2022 13:18:07 MainProcess _training_0 multithreading start DEBUG Starting thread 2 of 2: '_run_1'
06/07/2022 13:18:07 MainProcess _run_1 generator _minibatch DEBUG Loading minibatch generator: (image_count: 5449, side: 'a', do_shuffle: True)
06/07/2022 13:18:07 MainProcess _training_0 multithreading start DEBUG Started all threads '_run': 2
06/07/2022 13:18:07 MainProcess _training_0 _base _set_preview_feed DEBUG Setting preview feed: (side: 'b')
06/07/2022 13:18:07 MainProcess _training_0 _base _load_generator DEBUG Loading generator
06/07/2022 13:18:07 MainProcess _training_0 _base _load_generator DEBUG input_size: 64, output_shapes: [(64, 64, 3)]
06/07/2022 13:18:07 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': 'face', 'coverage': 68.75, 'icnr_init': False, 'conv_aware_init': False, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'reflect_padding': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'mask_loss_function': 'mse', 'l2_reg_term': 100, 'eye_multiplier': 3, 'mouth_multiplier': 2, 'penalized_mask_loss': True, 'mask_type': 'extended', 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': False, 'preview_images': 14, 'zoom_amount': 5, 'rotation_range': 10, 'shift_range': 5, 'flip_chance': 50, 'color_lightness': 30, 'color_ab': 8, 'color_clahe_chance': 50, 'color_clahe_max_size': 4})
06/07/2022 13:18:07 MainProcess _training_0 generator __init__ DEBUG Initialized TrainingDataGenerator
06/07/2022 13:18:07 MainProcess _training_0 generator minibatch_ab DEBUG Queue batches: (image_count: 5743, batchsize: 14, side: 'b', do_shuffle: True, is_preview, True, is_timelapse: False)
06/07/2022 13:18:07 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': 'face', 'coverage': 68.75, 'icnr_init': False, 'conv_aware_init': False, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'reflect_padding': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'mask_loss_function': 'mse', 'l2_reg_term': 100, 'eye_multiplier': 3, 'mouth_multiplier': 2, 'penalized_mask_loss': True, 'mask_type': 'extended', 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': False, 'preview_images': 14, 'zoom_amount': 5, 'rotation_range': 10, 'shift_range': 5, 'flip_chance': 50, 'color_lightness': 30, 'color_ab': 8, 'color_clahe_chance': 50, 'color_clahe_max_size': 4})
06/07/2022 13:18:07 MainProcess _training_0 augmentation __init__ DEBUG Output sizes: [64]
06/07/2022 13:18:07 MainProcess _training_0 augmentation __init__ DEBUG Initialized ImageAugmentation
06/07/2022 13:18:07 MainProcess _training_0 multithreading __init__ DEBUG Initializing BackgroundGenerator: (target: '_run', thread_count: 2)
06/07/2022 13:18:07 MainProcess _training_0 multithreading __init__ DEBUG Initialized BackgroundGenerator: '_run'
06/07/2022 13:18:07 MainProcess _training_0 multithreading start DEBUG Starting thread(s): '_run'
06/07/2022 13:18:07 MainProcess _training_0 multithreading start DEBUG Starting thread 1 of 2: '_run_0'
06/07/2022 13:18:07 MainProcess _run_0 generator _minibatch DEBUG Loading minibatch generator: (image_count: 5743, side: 'b', do_shuffle: True)
06/07/2022 13:18:07 MainProcess _training_0 multithreading start DEBUG Starting thread 2 of 2: '_run_1'
06/07/2022 13:18:07 MainProcess _run_1 generator _minibatch DEBUG Loading minibatch generator: (image_count: 5743, side: 'b', do_shuffle: True)
06/07/2022 13:18:07 MainProcess _training_0 multithreading start DEBUG Started all threads '_run': 2
06/07/2022 13:18:07 MainProcess _training_0 _base _set_preview_feed DEBUG Set preview feed. Batchsize: 14
06/07/2022 13:18:07 MainProcess _training_0 _base __init__ DEBUG Initialized _Feeder:
06/07/2022 13:18:07 MainProcess _training_0 _base _set_tensorboard DEBUG Enabling TensorBoard Logging
06/07/2022 13:18:07 MainProcess _training_0 _base _set_tensorboard DEBUG Setting up TensorBoard Logging
06/07/2022 13:18:07 MainProcess _training_0 _base _set_tensorboard VERBOSE Enabled TensorBoard Logging
06/07/2022 13:18:07 MainProcess _training_0 _base __init__ DEBUG Initializing _Samples: model: '<plugins.train.model.original.Model object at 0x000001C034E0C340>', coverage_ratio: 0.6875)
06/07/2022 13:18:07 MainProcess _training_0 _base __init__ DEBUG Initialized _Samples
06/07/2022 13:18:07 MainProcess _training_0 _base __init__ DEBUG Initializing _Timelapse: model: <plugins.train.model.original.Model object at 0x000001C034E0C340>, coverage_ratio: 0.6875, image_count: 14, feeder: '<plugins.train.trainer._base._Feeder object at 0x000001C034E8EC70>', image_paths: 2)
06/07/2022 13:18:07 MainProcess _training_0 _base __init__ DEBUG Initializing _Samples: model: '<plugins.train.model.original.Model object at 0x000001C034E0C340>', coverage_ratio: 0.6875)
06/07/2022 13:18:07 MainProcess _training_0 _base __init__ DEBUG Initialized _Samples
06/07/2022 13:18:07 MainProcess _training_0 _base __init__ DEBUG Initialized _Timelapse
06/07/2022 13:18:07 MainProcess _training_0 _base __init__ DEBUG Initialized Trainer
06/07/2022 13:18:07 MainProcess _training_0 train _load_trainer DEBUG Loaded Trainer
06/07/2022 13:18:07 MainProcess _training_0 train _run_training_cycle DEBUG Running Training Cycle
06/07/2022 13:18:07 MainProcess _run_0 generator _validate_version DEBUG Setting initial extract version: 2.2
06/07/2022 13:18:07 MainProcess _run_0 generator _validate_version DEBUG Setting initial extract version: 2.2
06/07/2022 13:18:08 MainProcess _run_0 augmentation initialize DEBUG Initializing constants. training_size: 384
06/07/2022 13:18:08 MainProcess _run_0 augmentation initialize DEBUG Initializing constants. training_size: 384
06/07/2022 13:18:08 MainProcess _run_0 augmentation initialize DEBUG Initialized constants: {'clahe_base_contrast': 3, 'tgt_slices': slice(60, 324, None), 'warp_mapx': '[[[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n ...\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]]', 'warp_mapy': '[[[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n ...\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]]', 'warp_pad': 80, 'warp_slices': slice(8, -8, None), 'warp_lm_edge_anchors': '[[[ 0 0]\n [ 0 383]\n [383 383]\n ...\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n ...\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n ...\n [191 383]\n [383 191]\n [ 0 191]]\n\n ...\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n ...\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n ...\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n ...\n [191 383]\n [383 191]\n [ 0 191]]]', 'warp_lm_grids': '[[[ 0. 0. 0. ... 0. 0. 0.]\n [ 1. 1. 1. ... 1. 1. 1.]\n [ 2. 2. 2. ... 2. 2. 2.]\n ...\n [381. 381. 381. ... 381. 381. 381.]\n [382. 382. 382. ... 382. 382. 382.]\n [383. 383. 383. ... 383. 383. 383.]]\n\n [[ 0. 1. 2. ... 381. 382. 383.]\n [ 0. 1. 2. ... 381. 382. 383.]\n [ 0. 1. 2. ... 381. 382. 383.]\n ...\n [ 0. 1. 2. ... 381. 382. 383.]\n [ 0. 1. 2. ... 381. 382. 383.]\n [ 0. 1. 2. ... 381. 382. 383.]]]'}
06/07/2022 13:18:08 MainProcess _run_0 augmentation initialize DEBUG Initialized constants: {'clahe_base_contrast': 3, 'tgt_slices': slice(60, 324, None), 'warp_mapx': '[[[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n ...\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]]', 'warp_mapy': '[[[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n ...\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]]', 'warp_pad': 80, 'warp_slices': slice(8, -8, None), 'warp_lm_edge_anchors': '[[[ 0 0]\n [ 0 383]\n [383 383]\n ...\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n ...\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n ...\n [191 383]\n [383 191]\n [ 0 191]]\n\n ...\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n ...\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n ...\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n ...\n [191 383]\n [383 191]\n [ 0 191]]]', 'warp_lm_grids': '[[[ 0. 0. 0. ... 0. 0. 0.]\n [ 1. 1. 1. ... 1. 1. 1.]\n [ 2. 2. 2. ... 2. 2. 2.]\n ...\n [381. 381. 381. ... 381. 381. 381.]\n [382. 382. 382. ... 382. 382. 382.]\n [383. 383. 383. ... 383. 383. 383.]]\n\n [[ 0. 1. 2. ... 381. 382. 383.]\n [ 0. 1. 2. ... 381. 382. 383.]\n [ 0. 1. 2. ... 381. 382. 383.]\n ...\n [ 0. 1. 2. ... 381. 382. 383.]\n [ 0. 1. 2. ... 381. 382. 383.]\n [ 0. 1. 2. ... 381. 382. 383.]]]'}
06/07/2022 13:18:09 MainProcess _run_0 augmentation initialize DEBUG Initializing constants. training_size: 384
06/07/2022 13:18:09 MainProcess _run_0 augmentation initialize DEBUG Initializing constants. training_size: 384
06/07/2022 13:18:09 MainProcess _run_0 augmentation initialize DEBUG Initialized constants: {'clahe_base_contrast': 3, 'tgt_slices': slice(60, 324, None), 'warp_mapx': '[[[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]]', 'warp_mapy': '[[[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]]', 'warp_pad': 80, 'warp_slices': slice(8, -8, None), 'warp_lm_edge_anchors': '[[[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]]', 'warp_lm_grids': '[[[ 0. 0. 0. ... 0. 0. 0.]\n [ 1. 1. 1. ... 1. 1. 1.]\n [ 2. 2. 2. ... 2. 2. 2.]\n ...\n [381. 381. 381. ... 381. 381. 381.]\n [382. 382. 382. ... 382. 382. 382.]\n [383. 383. 383. ... 383. 383. 383.]]\n\n [[ 0. 1. 2. ... 381. 382. 383.]\n [ 0. 1. 2. ... 381. 382. 383.]\n [ 0. 1. 2. ... 381. 382. 383.]\n ...\n [ 0. 1. 2. ... 381. 382. 383.]\n [ 0. 1. 2. ... 381. 382. 383.]\n [ 0. 1. 2. ... 381. 382. 383.]]]'}
06/07/2022 13:18:09 MainProcess _run_0 augmentation initialize DEBUG Initialized constants: {'clahe_base_contrast': 3, 'tgt_slices': slice(60, 324, None), 'warp_mapx': '[[[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]]', 'warp_mapy': '[[[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]]', 'warp_pad': 80, 'warp_slices': slice(8, -8, None), 'warp_lm_edge_anchors': '[[[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]]', 'warp_lm_grids': '[[[ 0. 0. 0. ... 0. 0. 0.]\n [ 1. 1. 1. ... 1. 1. 1.]\n [ 2. 2. 2. ... 2. 2. 2.]\n ...\n [381. 381. 381. ... 381. 381. 381.]\n [382. 382. 382. ... 382. 382. 382.]\n [383. 383. 383. ... 383. 383. 383.]]\n\n [[ 0. 1. 2. ... 381. 382. 383.]\n [ 0. 1. 2. ... 381. 382. 383.]\n [ 0. 1. 2. ... 381. 382. 383.]\n ...\n [ 0. 1. 2. ... 381. 382. 383.]\n [ 0. 1. 2. ... 381. 382. 383.]\n [ 0. 1. 2. ... 381. 382. 383.]]]'}
06/07/2022 13:18:10 MainProcess _training_0 multithreading run DEBUG Error in thread (_training_0): in user code:\n\n D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py:806 train_function *\n return step_function(self, iterator)\n D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py:796 step_function **\n outputs = model.distribute_strategy.run(run_step, args=(data,))\n D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\distribute\distribute_lib.py:1211 run\n return self._extended.call_for_each_replica(fn, args=args, kwargs=kwargs)\n D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\distribute\distribute_lib.py:2585 call_for_each_replica\n return self._call_for_each_replica(fn, args, kwargs)\n D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\distribute\distribute_lib.py:2945 _call_for_each_replica\n return fn(*args, **kwargs)\n D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py:789 run_step **\n outputs = model.train_step(data)\n D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py:748 train_step\n loss = self.compiled_loss(\n D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\compile_utils.py:187 __call__\n self.build(y_pred)\n D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\compile_utils.py:140 build\n self._losses = nest.map_structure(self._get_loss_object, self._losses)\n D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\util\nest.py:635 map_structure\n structure[0], [func(*x) for x in entries],\n D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\util\nest.py:635 <listcomp>\n structure[0], [func(*x) for x in entries],\n D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\compile_utils.py:265 _get_loss_object\n loss_name = loss.__name__\n\n AttributeError: 'LossWrapper' object has no attribute '__name__'\n
06/07/2022 13:18:10 MainProcess MainThread train _monitor DEBUG Thread error detected
06/07/2022 13:18:10 MainProcess MainThread train _monitor DEBUG Closed Monitor
06/07/2022 13:18:10 MainProcess MainThread train _end_thread DEBUG Ending Training thread
06/07/2022 13:18:10 MainProcess MainThread train _end_thread CRITICAL Error caught! Exiting...
06/07/2022 13:18:10 MainProcess MainThread multithreading join DEBUG Joining Threads: '_training'
06/07/2022 13:18:10 MainProcess MainThread multithreading join DEBUG Joining Thread: '_training_0'
06/07/2022 13:18:10 MainProcess MainThread multithreading join ERROR Caught exception in thread: '_training_0'
Traceback (most recent call last):
File "C:\Users\Administrator\faceswap\lib\cli\launcher.py", line 182, in execute_script
process.process()
File "C:\Users\Administrator\faceswap\scripts\train.py", line 190, in process
self._end_thread(thread, err)
File "C:\Users\Administrator\faceswap\scripts\train.py", line 230, in _end_thread
thread.join()
File "C:\Users\Administrator\faceswap\lib\multithreading.py", line 121, in join
raise thread.err[1].with_traceback(thread.err[2])
File "C:\Users\Administrator\faceswap\lib\multithreading.py", line 37, in run
self._target(*self._args, **self._kwargs)
File "C:\Users\Administrator\faceswap\scripts\train.py", line 252, in _training
raise err
File "C:\Users\Administrator\faceswap\scripts\train.py", line 242, in _training
self._run_training_cycle(model, trainer)
File "C:\Users\Administrator\faceswap\scripts\train.py", line 327, in _run_training_cycle
trainer.train_one_step(viewer, timelapse)
File "C:\Users\Administrator\faceswap\plugins\train\trainer\_base.py", line 194, in train_one_step
loss = self._model.model.train_on_batch(model_inputs, y=model_targets)
File "D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py", line 1695, in train_on_batch
logs = train_function(iterator)
File "D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\eager\def_function.py", line 780, in __call__
result = self._call(*args, **kwds)
File "D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\eager\def_function.py", line 823, in _call
self._initialize(args, kwds, add_initializers_to=initializers)
File "D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\eager\def_function.py", line 696, in _initialize
self._stateful_fn._get_concrete_function_internal_garbage_collected( # pylint: disable=protected-access
File "D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\eager\function.py", line 2855, in _get_concrete_function_internal_garbage_collected
graph_function, _, _ = self._maybe_define_function(args, kwargs)
File "D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\eager\function.py", line 3213, in _maybe_define_function
graph_function = self._create_graph_function(args, kwargs)
File "D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\eager\function.py", line 3065, in _create_graph_function
func_graph_module.func_graph_from_py_func(
File "D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\framework\func_graph.py", line 986, in func_graph_from_py_func
func_outputs = python_func(*func_args, **func_kwargs)
File "D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\eager\def_function.py", line 600, in wrapped_fn
return weak_wrapped_fn().__wrapped__(*args, **kwds)
File "D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\framework\func_graph.py", line 973, in wrapper
raise e.ag_error_metadata.to_exception(e)
AttributeError: in user code:
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py:806 train_function *
return step_function(self, iterator)
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py:796 step_function **
outputs = model.distribute_strategy.run(run_step, args=(data,))
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\distribute\distribute_lib.py:1211 run
return self._extended.call_for_each_replica(fn, args=args, kwargs=kwargs)
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\distribute\distribute_lib.py:2585 call_for_each_replica
return self._call_for_each_replica(fn, args, kwargs)
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\distribute\distribute_lib.py:2945 _call_for_each_replica
return fn(*args, **kwargs)
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py:789 run_step **
outputs = model.train_step(data)
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py:748 train_step
loss = self.compiled_loss(
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\compile_utils.py:187 __call__
self.build(y_pred)
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\compile_utils.py:140 build
self._losses = nest.map_structure(self._get_loss_object, self._losses)
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\util\nest.py:635 map_structure
structure[0], [func(*x) for x in entries],
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\util\nest.py:635 <listcomp>
structure[0], [func(*x) for x in entries],
D:\Anaconda\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\compile_utils.py:265 _get_loss_object
loss_name = loss.__name__
AttributeError: 'LossWrapper' object has no attribute '__name__'
============ System Information ============
encoding: cp936
git_branch: master
git_commits: a2b8e32 bugfix: distibuted training with dssim. f848e8a bugfix - typing for python < 3.9. 6437cd7 alignments tool - Add from-faces job - Allows user to regenerate alignments file(s) from a folder of extracted faces. a9908b4 Alignments tool - Replace 'extract-large' with 'min-size'. c2595c4 bugfix - add missing mask key to alignments on legacy update
gpu_cuda: 11.1
gpu_cudnn: No global version found. Check Conda packages for Conda cuDNN
gpu_devices: GPU_0: NVIDIA GeForce RTX 2060
gpu_devices_active: GPU_0
gpu_driver: 472.12
gpu_vram: GPU_0: 6144MB
os_machine: AMD64
os_platform: Windows-10-10.0.19041-SP0
os_release: 10
py_command: C:\Users\Administrator\faceswap\faceswap.py train -A D:/FACESWAP/zik/j2 -B D:/FACESWAP/zik/p2 -m D:/FACESWAP/zik/ModelAB -t original -bs 64 -it 1000000 -s 250 -ss 25000 -tia D:/FACESWAP/zik/j2 -tib D:/FACESWAP/zik/p2 -to D:/FACESWAP/zik/TimelapseAB -ps 100 -L INFO -gui
py_conda_version: conda 4.10.1
py_implementation: CPython
py_version: 3.8.8
py_virtual_env: True
sys_cores: 16
sys_processor: Intel64 Family 6 Model 165 Stepping 5, GenuineIntel
sys_ram: Total: 16296MB, Available: 9951MB, Used: 6345MB, Free: 9951MB
=============== 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_1619597386817/work
certifi==2022.5.18.1
cffi @ file:///C:/ci/cffi_1613247279197/work
chardet @ file:///C:/ci/chardet_1605303225733/work
click @ file:///home/linux1/recipes/ci/click_1610990599742/work
colorama @ file:///tmp/build/80754af9/colorama_1607707115595/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 @ file:///D:/bld/fastcluster_1646149187286/work
ffmpy==0.2.3
fonttools==4.25.0
gast @ file:///tmp/build/80754af9/gast_1597433534803/work
google-auth @ file:///tmp/build/80754af9/google-auth_1619477128713/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_1649960641006/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-suite_1647423638658/work
mkl-fft==1.3.0
mkl-random==1.1.1
mkl-service==2.3.0
multidict @ file:///C:/ci/multidict_1607362065515/work
munkres==1.1.4
numpy @ file:///C:/ci/numpy_and_numpy_base_1603466732592/work
nvidia-ml-py==11.495.46
nvidia-ml-py3 @ git+https://github.com/deepfakes/nvidia-ml-py3.git@6fc29ac84b32bad877f078cb4a777c1548a00bf6
oauthlib==3.1.0
olefile==0.46
opencv-python==4.5.5.62
opt-einsum==3.1.0
packaging @ file:///tmp/build/80754af9/packaging_1637314298585/work
pathlib==1.0.1
Pillow @ file:///C:/ci/pillow_1625663293593/work
protobuf==3.14.0
psutil @ file:///C:/ci/psutil_1612298324802/work
pyasn1==0.4.8
pyasn1-modules==0.2.8
pycparser @ file:///tmp/build/80754af9/pycparser_1594388511720/work
PyJWT==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==228
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_1642599125707/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:///C:/ci/tqdm_1650618053064/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 D:\Anaconda\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
brotli 1.0.9 ha925a31_2
brotlipy 0.7.0 py38h2bbff1b_1003
ca-certificates 2022.5.18.1 h5b45459_0 conda-forge
cachetools 4.2.2 pyhd3eb1b0_0
certifi 2022.5.18.1 py38haa244fe_0 conda-forge
cffi 1.14.5 py38hcd4344a_0
chardet 3.0.4 py38haa95532_1003
click 7.1.2 pyhd3eb1b0_0
colorama 0.4.4 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 1.2.6 py38h5d928e2_0 conda-forge
ffmpeg 4.3.1 ha925a31_0 conda-forge
ffmpy 0.2.3 pypi_0 pypi
fonttools 4.25.0 pyhd3eb1b0_0
freetype 2.10.4 hd328e21_0
gast 0.4.0 py_0
google-auth 1.30.0 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 0.4.7 pyhd8ed1ab_0 conda-forge
importlib-metadata 3.10.0 py38haa95532_0
intel-openmp 2021.2.0 haa95532_616
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
libopencv 4.0.1 hbb9e17c_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 3.5.1 py38haa95532_1
matplotlib-base 3.5.1 py38hd77b12b_1
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
munkres 1.1.4 py_0
numpy 1.19.2 py38hadc3359_0
numpy-base 1.19.2 py38ha3acd2a_0
nvidia-ml-py 11.495.46 pypi_0 pypi
nvidia-ml-py3 7.352.1 pypi_0 pypi
oauthlib 3.1.0 py_0
olefile 0.46 py_0
opencv 4.0.1 py38h2a7c758_0
opencv-python 4.5.5.62 pypi_0 pypi
openssl 1.1.1o h8ffe710_0 conda-forge
opt_einsum 3.1.0 py_0
packaging 21.3 pyhd3eb1b0_0
pathlib 1.0.1 py_1
pillow 8.3.1 py38h4fa10fc_0
pip 21.0.1 py38haa95532_0
protobuf 3.14.0 py38hd77b12b_1
psutil 5.8.0 py38h2bbff1b_1
py-opencv 4.0.1 py38he44ac1e_0
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 228 py38hbaba5e8_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 1.0.2 py38hf11a4ad_1
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 4.64.0 py38haa95532_0
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.bisenet_fp]
batch-size: 8
weights: faceswap
include_ears: False
include_hair: False
include_glasses: True
[mask.unet_dfl]
batch-size: 8
[mask.vgg_clear]
batch-size: 6
[mask.vgg_obstructed]
batch-size: 2
--------- gui.ini ---------
[global]
fullscreen: False
tab: extract
options_panel_width: 30
console_panel_height: 20
icon_size: 14
font: default
font_size: 9
autosave_last_session: prompt
timeout: 120
auto_load_model_stats: True
--------- train.ini ---------
[global]
centering: face
coverage: 68.75
icnr_init: False
conv_aware_init: False
optimizer: adam
learning_rate: 5e-05
epsilon_exponent: -7
reflect_padding: False
allow_growth: False
mixed_precision: False
nan_protection: True
convert_batchsize: 16
[global.loss]
loss_function: ssim
mask_loss_function: mse
l2_reg_term: 100
eye_multiplier: 3
mouth_multiplier: 2
penalized_mask_loss: True
mask_type: extended
mask_blur_kernel: 3
mask_threshold: 4
learn_mask: False
[model.dfaker]
output_size: 128
[model.dfl_h128]
lowmem: False
[model.dfl_sae]
input_size: 128
clipnorm: True
architecture: df
autoencoder_dims: 0
encoder_dims: 42
decoder_dims: 21
multiscale_decoder: False
[model.dlight]
features: best
details: good
output_size: 256
[model.original]
lowmem: False
[model.phaze_a]
output_size: 128
shared_fc: none
enable_gblock: True
split_fc: True
split_gblock: False
split_decoders: False
enc_architecture: fs_original
enc_scaling: 40
enc_load_weights: True
bottleneck_type: dense
bottleneck_norm: none
bottleneck_size: 1024
bottleneck_in_encoder: True
fc_depth: 1
fc_min_filters: 1024
fc_max_filters: 1024
fc_dimensions: 4
fc_filter_slope: -0.5
fc_dropout: 0.0
fc_upsampler: upsample2d
fc_upsamples: 1
fc_upsample_filters: 512
fc_gblock_depth: 3
fc_gblock_min_nodes: 512
fc_gblock_max_nodes: 512
fc_gblock_filter_slope: -0.5
fc_gblock_dropout: 0.0
dec_upscale_method: subpixel
dec_norm: none
dec_min_filters: 64
dec_max_filters: 512
dec_filter_slope: -0.45
dec_res_blocks: 1
dec_output_kernel: 5
dec_gaussian: True
dec_skip_last_residual: True
freeze_layers: keras_encoder
load_layers: encoder
fs_original_depth: 4
fs_original_min_filters: 128
fs_original_max_filters: 1024
mobilenet_width: 1.0
mobilenet_depth: 1
mobilenet_dropout: 0.001
mobilenet_minimalistic: False
[model.realface]
input_size: 64
output_size: 128
dense_nodes: 1536
complexity_encoder: 128
complexity_decoder: 512
[model.unbalanced]
input_size: 128
lowmem: False
clipnorm: True
nodes: 1024
complexity_encoder: 128
complexity_decoder_a: 384
complexity_decoder_b: 512
[model.villain]
lowmem: 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