Faceswap Forum

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02/01/2023 21:53:30 MainProcess     MainThread                     logger          log_setup                      INFO     Log level set to: INFO
02/01/2023 21:53:30 MainProcess     MainThread                     launcher        _configure_backend             DEBUG    Adding missing exclude gpus argument to namespace
02/01/2023 21:53:30 MainProcess     MainThread                     launcher        _set_environment_variables     DEBUG    Setting `KMP_DUPLICATE_LIB_OK` environment variable to `TRUE`
02/01/2023 21:53:33 MainProcess     MainThread                     tpu_cluster_resolver <module>                       DEBUG    Falling back to TensorFlow client; we recommended you install the Cloud TPU client directly with pip install cloud-tpu-client.
02/01/2023 21:53:34 MainProcess     MainThread                     __init__        <module>                       DEBUG    Creating converter from 7 to 5
02/01/2023 21:53:34 MainProcess     MainThread                     __init__        <module>                       DEBUG    Creating converter from 5 to 7
02/01/2023 21:53:34 MainProcess     MainThread                     __init__        <module>                       DEBUG    Creating converter from 7 to 5
02/01/2023 21:53:34 MainProcess     MainThread                     __init__        <module>                       DEBUG    Creating converter from 5 to 7
02/01/2023 21:53:36 MainProcess     MainThread                     launcher        _test_for_tf_version           DEBUG    Installed Tensorflow Version: (2, 10)
02/01/2023 21:53:37 MainProcess     MainThread                     __init__        wrapper                        DEBUG    matplotlib data path: C:\ProgramData\Anaconda3\envs\faceswap\lib\site-packages\matplotlib\mpl-data
02/01/2023 21:53:37 MainProcess     MainThread                     __init__        wrapper                        DEBUG    CONFIGDIR=C:\Users\Administrator\.matplotlib
02/01/2023 21:53:37 MainProcess     MainThread                     __init__        <module>                       DEBUG    interactive is False
02/01/2023 21:53:37 MainProcess     MainThread                     __init__        <module>                       DEBUG    platform is win32
02/01/2023 21:53:37 MainProcess     MainThread                     __init__        <module>                       DEBUG    loaded modules: ['sys', 'builtins', '_frozen_importlib', '_imp', '_thread', '_warnings', '_weakref', '_io', 'marshal', 'nt', 'winreg', '_frozen_importlib_external', 'time', 'zipimport', '_codecs', 'codecs', 'encodings.aliases', 'encodings', 'encodings.utf_8', '_codecs_cn', '_multibytecodec', 'encodings.gbk', '_signal', 'encodings.latin_1', '_abc', 'abc', 'io', '__main__', '_stat', 'stat', '_collections_abc', 'genericpath', 'ntpath', 'os.path', 'os', '_sitebuiltins', '_locale', '_bootlocale', '_distutils_hack', 'types', 'importlib._bootstrap', 'importlib._bootstrap_external', 'warnings', 'importlib', 'importlib.machinery', '_heapq', 'heapq', 'itertools', 'keyword', '_operator', 'operator', 'reprlib', '_collections', 'collections', 'collections.abc', '_functools', 'functools', 'contextlib', 'enum', '_sre', 'sre_constants', 'sre_parse', 'sre_compile', 'copyreg', 're', 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'keras.layers.pooling.base_global_pooling2d', 'keras.layers.pooling.global_average_pooling2d', 'keras.layers.pooling.base_global_pooling3d', 'keras.layers.pooling.global_average_pooling3d', 'keras.layers.pooling.global_max_pooling1d', 'keras.layers.pooling.global_max_pooling2d', 'keras.layers.pooling.global_max_pooling3d', 'keras.layers.pooling.max_pooling1d', 'keras.layers.pooling.max_pooling2d', 'keras.layers.pooling.max_pooling3d', 'keras.layers.pooling', 'keras.layers.convolutional', 'keras.layers.locally_connected.locally_connected_utils', 'keras.layers.locally_connected.locally_connected1d', 'keras.layers.locally_connected.locally_connected2d', 'keras.layers.locally_connected', 'keras.layers.merging.base_merge', 'keras.layers.merging.add', 'keras.layers.merging.average', 'keras.layers.merging.concatenate', 'keras.layers.merging.dot', 'keras.layers.merging.maximum', 'keras.layers.merging.minimum', 'keras.layers.merging.multiply', 'keras.layers.merging.subtract', 'keras.layers.merging', 'keras.layers.normalization', 'keras.layers.normalization.batch_normalization', 'keras.layers.normalization.layer_normalization', 'keras.layers.normalization.unit_normalization', 'keras.layers.preprocessing', 'keras.layers.preprocessing.preprocessing_utils', 'keras.layers.preprocessing.category_encoding', 'keras.layers.preprocessing.discretization', 'keras.layers.preprocessing.hashed_crossing', 'keras.layers.preprocessing.hashing', 'keras.layers.preprocessing.image_preprocessing', 'keras.layers.preprocessing.index_lookup', 'keras.layers.preprocessing.integer_lookup', 'keras.layers.preprocessing.normalization', 'keras.layers.preprocessing.string_lookup', 'keras.layers.preprocessing.text_vectorization', 'keras.layers.normalization.batch_normalization_v1', 'keras.layers.kernelized', 'keras.layers.rnn.rnn_utils', 'keras.layers.rnn.abstract_rnn_cell', 'keras.layers.rnn.dropout_rnn_cell_mixin', 'keras.layers.rnn.stacked_rnn_cells', 'keras.layers.rnn.base_rnn', 'keras.layers.rnn.simple_rnn', 'keras.layers.rnn.gru_lstm_utils', 'keras.layers.rnn.gru', 'keras.layers.rnn.gru_v1', 'keras.layers.rnn.lstm', 'keras.layers.rnn.lstm_v1', 'keras.layers.rnn.base_wrapper', 'keras.layers.rnn.bidirectional', 'keras.layers.rnn.cell_wrappers', 'keras.layers.rnn.base_conv_rnn', 'keras.layers.rnn.base_conv_lstm', 'keras.layers.rnn.conv_lstm1d', 'keras.layers.rnn.conv_lstm2d', 'keras.layers.rnn.conv_lstm3d', 'keras.layers.rnn.base_cudnn_rnn', 'keras.layers.rnn.cudnn_gru', 'keras.layers.rnn.cudnn_lstm', 'keras.layers.rnn.time_distributed', 'keras.layers.rnn', 'keras.layers.serialization', 'keras.layers', 'keras.activations', 'keras.metrics.metrics', 'keras.metrics', 'keras.engine.compile_utils', 'keras.saving.model_config', 'keras.saving.hdf5_format', 'keras.saving.saved_model.load_context', 'keras.saving.saved_model.save', 'keras.saving.save', 'keras.saving.pickle_utils', 'keras.saving.saved_model.model_serialization', 'keras.engine.training', 'keras.saving.saved_model.network_serialization', 'keras.engine.functional', 'keras.engine.sequential', 'keras.engine.training_utils_v1', 'keras.distribute.distributed_training_utils_v1', 'keras.engine.training_arrays_v1', 'keras.engine.partial_batch_padding_handler', 'keras.engine.training_distributed_v1', 'keras.engine.training_eager_v1', 'keras.engine.training_generator_v1', 'keras.engine.training_v1', 'keras.models.cloning', 'keras.models.sharpness_aware_minimization', 'keras.models', 'keras', 'tensorflow.python.util.fast_module_type', 'tensorflow.tools.compatibility', 'tensorflow.tools.compatibility.renames_v2', 'tensorflow.tools.compatibility.all_renames_v2', 'tensorflow.python.util.module_wrapper', 'keras.api.keras.__internal__.layers', 'keras.legacy_tf_layers.migration_utils', 'keras.legacy_tf_layers', 'keras.engine.base_layer_v1', 'keras.legacy_tf_layers.variable_scope_shim', 'keras.legacy_tf_layers.base', 'keras.api.keras.__internal__.legacy.layers.experimental', 'keras.legacy_tf_layers.convolutional', 'keras.legacy_tf_layers.core', 'keras.legacy_tf_layers.normalization', 'keras.legacy_tf_layers.pooling', 'keras.api.keras.__internal__.legacy.layers', 'keras.layers.rnn.legacy_cells', 'keras.layers.rnn.legacy_cell_wrappers', 'keras.api.keras.__internal__.legacy.rnn_cell', 'keras.api.keras.__internal__.legacy', 'keras.api.keras.__internal__', 'keras.api.keras.activations', 'keras.applications.imagenet_utils', 'keras.applications.convnext', 'keras.applications.densenet', 'keras.applications.efficientnet', 'keras.applications.efficientnet_v2', 'keras.applications.inception_resnet_v2', 'keras.applications.inception_v3', 'keras.applications.mobilenet', 'keras.applications.mobilenet_v2', 'keras.applications.mobilenet_v3', 'keras.applications.nasnet', 'keras.applications.resnet', 'keras.applications.resnet_rs', 'keras.applications.resnet_v2', 'keras.applications.vgg16', 'keras.applications.vgg19', 'keras.applications.xception', 'keras.applications', 'keras.api.keras.applications.convnext', 'keras.api.keras.applications.densenet', 'keras.api.keras.applications.efficientnet', 'keras.api.keras.applications.efficientnet_v2', 'keras.api.keras.applications.imagenet_utils', 'keras.api.keras.applications.inception_resnet_v2', 'keras.api.keras.applications.inception_v3', 'keras.api.keras.applications.mobilenet', 'keras.api.keras.applications.mobilenet_v2', 'keras.api.keras.applications.mobilenet_v3', 'keras.api.keras.applications.nasnet', 'keras.applications.regnet', 'keras.api.keras.applications.regnet', 'keras.api.keras.applications.resnet', 'keras.api.keras.applications.resnet50', 'keras.api.keras.applications.resnet_rs', 'keras.api.keras.applications.resnet_v2', 'keras.api.keras.applications.vgg16', 'keras.api.keras.applications.vgg19', 'keras.api.keras.applications.xception', 'keras.api.keras.applications', 'keras.api.keras.backend', 'keras.callbacks_v1', 'keras.api.keras.callbacks', 'keras.api.keras.constraints', 'keras.datasets', 'keras.datasets.boston_housing', 'keras.api.keras.datasets.boston_housing', 'keras.datasets.cifar', 'keras.datasets.cifar10', 'keras.api.keras.datasets.cifar10', 'keras.datasets.cifar100', 'keras.api.keras.datasets.cifar100', 'keras.datasets.fashion_mnist', 'keras.api.keras.datasets.fashion_mnist', 'scipy.ndimage._ni_support', 'scipy.ndimage._nd_image', 'scipy._lib.doccer', 'scipy.ndimage._ni_docstrings', 'scipy.ndimage._filters', 'scipy.ndimage._fourier', 'scipy.special._sf_error', 'scipy.special._ufuncs_cxx', 'scipy.special._ufuncs', 'scipy.special._specfun', 'scipy.special._comb', 'scipy.special._basic', 'scipy.special._logsumexp', 'scipy.special._orthogonal', 'scipy.special._spfun_stats', 'scipy.special._ellip_harm_2', 'scipy.special._ellip_harm', 'scipy.special._lambertw', 'scipy.special._spherical_bessel', 'scipy.special._add_newdocs', 'scipy.special.add_newdocs', 'scipy.special.basic', 'scipy.special.orthogonal', 'scipy.special.specfun', 'scipy.special.sf_error', 'scipy.special.spfun_stats', 'scipy.special', 'scipy.ndimage._interpolation', '_ni_label', 'scipy.ndimage._ni_label', 'scipy.ndimage._morphology', 'scipy.ndimage._measurements', 'scipy.ndimage.filters', 'scipy.ndimage.fourier', 'scipy.ndimage.interpolation', 'scipy.ndimage.measurements', 'scipy.ndimage.morphology', 'scipy.ndimage', 'PIL.ImageFilter', 'PIL.ImageStat', 'PIL.ImageEnhance', 'keras.preprocessing.image', 'keras.preprocessing.sequence', 'keras.preprocessing.text', 'keras.preprocessing', 'keras.datasets.imdb', 'keras.api.keras.datasets.imdb', 'keras.datasets.mnist', 'keras.api.keras.datasets.mnist', 'keras.datasets.reuters', 'keras.api.keras.datasets.reuters', 'keras.api.keras.datasets', 'keras.estimator', 'keras.api.keras.estimator', 'keras.feature_column', 'keras.feature_column.base_feature_layer', 'keras.feature_column.sequence_feature_column', 'keras.premade_models.linear', 'keras.premade_models.wide_deep', 'keras.premade_models', 'keras.saving.utils_v1.unexported_constants', 'keras.saving.utils_v1.signature_def_utils', 'keras.saving.utils_v1.export_output', 'keras.saving.utils_v1.mode_keys', 'keras.saving.utils_v1.export_utils', 'keras.saving.utils_v1', 'keras.saving.saved_model_experimental', 'keras.api.keras.experimental', 'keras.api.keras.initializers', 'keras.api.keras.layers.experimental.preprocessing', 'keras.api.keras.layers.experimental', 'keras.feature_column.dense_features', 'keras.api.keras.layers', 'keras.api.keras.losses', 'keras.api.keras.metrics', 'keras.api.keras.mixed_precision', 'keras.api.keras.models', 'keras.api.keras.optimizers.legacy', 'keras.api.keras.optimizers.schedules', 'keras.api.keras.optimizers', 'keras.api.keras.preprocessing.image', 'keras.api.keras.preprocessing.sequence', 'keras.api.keras.preprocessing.text', 'keras.api.keras.preprocessing', 'keras.api.keras.regularizers', 'keras.api.keras.utils', 'keras.wrappers', 'keras.wrappers.scikit_learn', 'keras.api.keras.wrappers.scikit_learn', 'keras.api.keras.wrappers', 'keras.api.keras', 'keras.api', 'keras.api._v2.keras.__internal__.backend', 'keras.api._v2.keras.__internal__.layers', 'keras.api._v2.keras.__internal__.losses', 'keras.api._v2.keras.__internal__.models', 'keras.testing_infra', 'keras.testing_infra.test_utils', 'keras.api._v2.keras.__internal__.utils', 'keras.api._v2.keras.__internal__', 'keras.api._v2.keras.activations', 'keras.api._v2.keras.applications.convnext', 'keras.api._v2.keras.applications.densenet', 'keras.api._v2.keras.applications.efficientnet', 'keras.api._v2.keras.applications.efficientnet_v2', 'keras.api._v2.keras.applications.imagenet_utils', 'keras.api._v2.keras.applications.inception_resnet_v2', 'keras.api._v2.keras.applications.inception_v3', 'keras.api._v2.keras.applications.mobilenet', 'keras.api._v2.keras.applications.mobilenet_v2', 'keras.api._v2.keras.applications.mobilenet_v3', 'keras.api._v2.keras.applications.nasnet', 'keras.api._v2.keras.applications.regnet', 'keras.api._v2.keras.applications.resnet', 'keras.api._v2.keras.applications.resnet50', 'keras.api._v2.keras.applications.resnet_rs', 'keras.api._v2.keras.applications.resnet_v2', 'keras.api._v2.keras.applications.vgg16', 'keras.api._v2.keras.applications.vgg19', 'keras.api._v2.keras.applications.xception', 'keras.api._v2.keras.applications', 'keras.api._v2.keras.backend.experimental', 'keras.api._v2.keras.backend', 'keras.api._v2.keras.callbacks.experimental', 'keras.api._v2.keras.callbacks', 'keras.api._v2.keras.constraints', 'keras.api._v2.keras.datasets.boston_housing', 'keras.api._v2.keras.datasets.cifar10', 'keras.api._v2.keras.datasets.cifar100', 'keras.api._v2.keras.datasets.fashion_mnist', 'keras.api._v2.keras.datasets.imdb', 'keras.api._v2.keras.datasets.mnist', 'keras.api._v2.keras.datasets.reuters', 'keras.api._v2.keras.datasets', 'keras.dtensor.optimizers', 'keras.api._v2.keras.dtensor.experimental.optimizers', 'keras.api._v2.keras.dtensor.experimental', 'keras.api._v2.keras.dtensor', 'keras.api._v2.keras.estimator', 'keras.api._v2.keras.experimental', 'keras.api._v2.keras.initializers', 'keras.api._v2.keras.layers.experimental.preprocessing', 'keras.api._v2.keras.layers.experimental', 'keras.feature_column.dense_features_v2', 'keras.api._v2.keras.layers', 'keras.api._v2.keras.losses', 'keras.api._v2.keras.metrics', 'keras.api._v2.keras.mixed_precision', 'keras.api._v2.keras.models.experimental', 'keras.api._v2.keras.models', 'keras.api._v2.keras.optimizers.experimental', 'keras.api._v2.keras.optimizers.legacy', 'keras.api._v2.keras.optimizers.schedules', 'keras.api._v2.keras.optimizers', 'keras.api._v2.keras.preprocessing.image', 'keras.api._v2.keras.preprocessing.sequence', 'keras.api._v2.keras.preprocessing.text', 'keras.api._v2.keras.preprocessing', 'keras.api._v2.keras.regularizers', 'keras.api._v2.keras.utils.experimental', 'keras.api._v2.keras.utils', 'keras.api._v2.keras.wrappers.scikit_learn', 'keras.api._v2.keras.wrappers', 'keras.api._v2.keras', 'keras.api._v2', 'tensorflow', 'scripts', 'scripts.train', 'cv2.load_config_py3', 'cv2.version', 'cv2.Error', 'cv2.aruco', 'cv2.cuda', 'cv2.detail', 'cv2.dnn', 'cv2.fisheye', 'cv2.flann', 'cv2.gapi.core', 'cv2.gapi.core.cpu', 'cv2.gapi.core.fluid', 'cv2.gapi.core.ocl', 'cv2.gapi.ie', 'cv2.gapi.ie.detail', 'cv2.gapi.oak', 'cv2.gapi.onnx', 'cv2.gapi.own', 'cv2.gapi.own.detail', 'cv2.gapi.render', 'cv2.gapi.render.ocv', 'cv2.gapi.streaming', 'cv2.gapi.video', 'cv2.gapi.wip', 'cv2.gapi.wip.draw', 'cv2.gapi.wip.gst', 'cv2.gapi.wip.onevpl', 'cv2.ipp', 'cv2.ml', 'cv2.ocl', 'cv2.ogl', 'cv2.parallel', 'cv2.samples', 'cv2.segmentation', 'cv2.utils.fs', 'cv2.utils.nested', 'cv2.videoio_registry', 'cv2.data', 'cv2.gapi', 'cv2.mat_wrapper', 'cv2.misc.version', 'cv2.misc', 'cv2.utils', 'cv2', 'lib.gui', 'lib.gui.command', 'tkinter.ttk', 'lib.gui.control_helper', 'tkinter.commondialog', 'tkinter.colorchooser', 'lib.gui.custom_widgets', 'lib.gui.utils', 'lib.gui.utils.config', 'lib.gui._config', 'tkinter.font', 'matplotlib', 'matplotlib._api.deprecation', 'matplotlib._api', 'matplotlib._version', 'matplotlib._c_internal_utils', 'matplotlib.cbook', 'matplotlib.docstring', 'PIL.ImageChops', 'PIL.ImageFile', 'PIL.GimpGradientFile', 'PIL.GimpPaletteFile', 'PIL.ImageColor', 'PIL.PaletteFile', 'PIL.ImagePalette', 'PIL.ImageSequence', 'PIL.PngImagePlugin', 'matplotlib._path', 'matplotlib.bezier', 'matplotlib.path', 'matplotlib.transforms', 'matplotlib.ticker', 'matplotlib.scale', 'matplotlib._color_data', 'matplotlib.colors', 'pyparsing.util', 'pyparsing.unicode', 'pyparsing.exceptions', 'pyparsing.actions', 'pyparsing.results', 'pyparsing.core', 'pyparsing.helpers', 'pyparsing.testing', 'pyparsing.common', 'pyparsing', 'matplotlib.fontconfig_pattern', 'matplotlib._enums', 'cycler', 'matplotlib.rcsetup', 'matplotlib.ft2font', 'dateutil._version', 'dateutil', 'kiwisolver._cext', 'kiwisolver']
02/01/2023 21:53:37 MainProcess     MainThread                     __init__        wrapper                        DEBUG    CACHEDIR=C:\Users\Administrator\.matplotlib
02/01/2023 21:53:37 MainProcess     MainThread                     font_manager    _load_fontmanager              DEBUG    Using fontManager instance from C:\Users\Administrator\.matplotlib\fontlist-v330.json
02/01/2023 21:53:37 MainProcess     MainThread                     queue_manager   __init__                       DEBUG    Initializing _QueueManager
02/01/2023 21:53:37 MainProcess     MainThread                     queue_manager   __init__                       DEBUG    Initialized _QueueManager
02/01/2023 21:53:38 MainProcess     MainThread                     stats           __init__                       DEBUG    Initializing GlobalSession
02/01/2023 21:53:38 MainProcess     MainThread                     stats           __init__                       DEBUG    Initialized GlobalSession
02/01/2023 21:53:38 MainProcess     MainThread                     train           __init__                       DEBUG    Initializing Train: (args: Namespace(func=<bound method ScriptExecutor.execute_script of <lib.cli.launcher.ScriptExecutor object at 0x000002F2751A2490>>, configfile=None, loglevel='INFO', logfile=None, redirect_gui=True, colab=False, input_a='E:\\train\\ybysorted', input_b='E:\\train\\syt2', model_dir='E:\\train\\model', load_weights=None, trainer='original', summary=False, freeze_weights=False, batch_size=16, iterations=1000000, distribution_strategy='default', save_interval=250, snapshot_interval=25000, timelapse_input_a=None, timelapse_input_b=None, timelapse_output=None, preview=False, write_image=False, no_logs=False, warp_to_landmarks=False, no_flip=False, no_augment_color=False, no_warp=False, exclude_gpus=None)
02/01/2023 21:53:38 MainProcess     MainThread                     train           _get_images                    DEBUG    Getting image paths
02/01/2023 21:53:38 MainProcess     MainThread                     utils           get_image_paths                DEBUG    Scanned Folder contains 4554 files
02/01/2023 21:53:38 MainProcess     MainThread                     utils           get_image_paths                DEBUG    Returning 4554 images
02/01/2023 21:53:38 MainProcess     MainThread                     train           _get_images                    DEBUG    Test file: (filename: E:\train\ybysorted\000000_VID_20221228_130942_002077_0.png, metadata: {'width': 512, 'height': 512, 'itxt': {'alignments': {'x': 84, 'w': 510, 'y': 615, 'h': 696, 'landmarks_xy': [[82.91827392578125, 971.2828369140625], [82.91827392578125, 1038.9271240234375], [82.91827392578125, 1096.907958984375], [102.24517822265625, 1164.5521240234375], [131.23556518554688, 1232.1962890625], [160.2259521484375, 1280.513671875], [179.55288696289062, 1309.5040283203125], [208.54327392578125, 1328.8309326171875], [266.5240478515625, 1338.494384765625], [353.49517822265625, 1319.16748046875], [440.46636962890625, 1290.1771240234375], [508.110595703125, 1261.186767578125], [556.4279174804688, 1212.869384765625], [595.0817260742188, 1145.22509765625], [614.4086303710938, 1077.5809326171875], [624.0721435546875, 1000.2732543945312], [633.735595703125, 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02/01/2023 21:53:38 MainProcess     MainThread                     train           _get_images                    INFO     Model A Directory: 'E:\train\ybysorted' (4554 images)
02/01/2023 21:53:39 MainProcess     MainThread                     utils           get_image_paths                DEBUG    Scanned Folder contains 12343 files
02/01/2023 21:53:39 MainProcess     MainThread                     utils           get_image_paths                DEBUG    Returning 12343 images
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{'alignments_version': 2.3, 'original_filename': 'VID_20230126_173829_001117_0.png', 'face_index': 0, 'source_filename': 'VID_20230126_173829_001117.png', 'source_is_video': True, 'source_frame_dims': (1920, 1080)}}})
02/01/2023 21:53:39 MainProcess     MainThread                     train           _get_images                    INFO     Model B Directory: 'E:\train\syt2' (12343 images)
02/01/2023 21:53:39 MainProcess     MainThread                     train           _get_images                    DEBUG    Got image paths: [('a', '4554 images'), ('b', '12343 images')]
02/01/2023 21:53:39 MainProcess     MainThread                     preview_cv      __init__                       DEBUG    Initializing: PreviewBuffer
02/01/2023 21:53:39 MainProcess     MainThread                     preview_cv      __init__                       DEBUG    Initialized: PreviewBuffer
02/01/2023 21:53:39 MainProcess     MainThread                     train           __init__                       DEBUG    Initialized Train
02/01/2023 21:53:39 MainProcess     MainThread                     train           process                        DEBUG    Starting Training Process
02/01/2023 21:53:39 MainProcess     MainThread                     train           process                        INFO     Training data directory: E:\train\model
02/01/2023 21:53:39 MainProcess     MainThread                     train           _start_thread                  DEBUG    Launching Trainer thread
02/01/2023 21:53:39 MainProcess     MainThread                     multithreading  __init__                       DEBUG    Initializing MultiThread: (target: '_training', thread_count: 1)
02/01/2023 21:53:39 MainProcess     MainThread                     multithreading  __init__                       DEBUG    Initialized MultiThread: '_training'
02/01/2023 21:53:39 MainProcess     MainThread                     multithreading  start                          DEBUG    Starting thread(s): '_training'
02/01/2023 21:53:39 MainProcess     MainThread                     multithreading  start                          DEBUG    Starting thread 1 of 1: '_training'
02/01/2023 21:53:39 MainProcess     MainThread                     multithreading  start                          DEBUG    Started all threads '_training': 1
02/01/2023 21:53:39 MainProcess     MainThread                     train           _start_thread                  DEBUG    Launched Trainer thread
02/01/2023 21:53:39 MainProcess     MainThread                     train           _output_startup_info           DEBUG    Launching Monitor
02/01/2023 21:53:39 MainProcess     MainThread                     train           _output_startup_info           INFO     ===================================================
02/01/2023 21:53:39 MainProcess     MainThread                     train           _output_startup_info           INFO       Starting
02/01/2023 21:53:39 MainProcess     MainThread                     train           _output_startup_info           INFO     ===================================================
02/01/2023 21:53:40 MainProcess     _training                      train           _training                      DEBUG    Commencing Training
02/01/2023 21:53:40 MainProcess     _training                      train           _training                      INFO     Loading data, this may take a while...
02/01/2023 21:53:40 MainProcess     _training                      train           _load_model                    DEBUG    Loading Model
02/01/2023 21:53:40 MainProcess     _training                      utils           get_folder                     DEBUG    Requested path: 'E:\train\model'
02/01/2023 21:53:40 MainProcess     _training                      utils           get_folder                     DEBUG    Returning: 'E:\train\model'
02/01/2023 21:53:40 MainProcess     _training                      plugin_loader   _import                        INFO     Loading Model from Original plugin...
02/01/2023 21:53:40 MainProcess     _training                      multithreading  run                            DEBUG    Error in thread (_training): module 'numpy' has no attribute 'bool'
02/01/2023 21:53:40 MainProcess     MainThread                     train           _monitor                       DEBUG    Thread error detected
02/01/2023 21:53:40 MainProcess     MainThread                     train           _monitor                       DEBUG    Closed Monitor
02/01/2023 21:53:40 MainProcess     MainThread                     train           _end_thread                    DEBUG    Ending Training thread
02/01/2023 21:53:40 MainProcess     MainThread                     train           _end_thread                    CRITICAL Error caught! Exiting...
02/01/2023 21:53:40 MainProcess     MainThread                     multithreading  join                           DEBUG    Joining Threads: '_training'
02/01/2023 21:53:40 MainProcess     MainThread                     multithreading  join                           DEBUG    Joining Thread: '_training'
02/01/2023 21:53:40 MainProcess     MainThread                     multithreading  join                           ERROR    Caught exception in thread: '_training'
Traceback (most recent call last):
  File "E:\faceswap\lib\cli\launcher.py", line 230, in execute_script
    process.process()
  File "E:\faceswap\scripts\train.py", line 213, in process
    self._end_thread(thread, err)
  File "E:\faceswap\scripts\train.py", line 253, in _end_thread
    thread.join()
  File "E:\faceswap\lib\multithreading.py", line 217, in join
    raise thread.err[1].with_traceback(thread.err[2])
  File "E:\faceswap\lib\multithreading.py", line 96, in run
    self._target(*self._args, **self._kwargs)
  File "E:\faceswap\scripts\train.py", line 275, in _training
    raise err
  File "E:\faceswap\scripts\train.py", line 263, in _training
    model = self._load_model()
  File "E:\faceswap\scripts\train.py", line 287, in _load_model
    model: "ModelBase" = PluginLoader.get_model(self._args.trainer)(
  File "E:\faceswap\plugins\plugin_loader.py", line 131, in get_model
    return PluginLoader._import("train.model", name, disable_logging)
  File "E:\faceswap\plugins\plugin_loader.py", line 197, in _import
    module = import_module(mod)
  File "C:\ProgramData\Anaconda3\envs\faceswap\lib\importlib\__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
  File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
  File "<frozen importlib._bootstrap>", line 986, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 680, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 850, in exec_module
  File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
  File "E:\faceswap\plugins\train\model\original.py", line 11, in <module>
    from ._base import KerasModel, ModelBase
  File "E:\faceswap\plugins\train\model\_base\__init__.py", line 4, in <module>
    from .model import get_all_sub_models, KerasModel, ModelBase  # noqa
  File "E:\faceswap\plugins\train\model\_base\model.py", line 23, in <module>
    from .settings import Loss, Optimizer, Settings
  File "E:\faceswap\plugins\train\model\_base\settings.py", line 37, in <module>
    from lib.model.autoclip import AutoClipper  # pylint:disable=ungrouped-imports
  File "E:\faceswap\lib\model\autoclip.py", line 8, in <module>
    import tensorflow_probability as tfp
  File "C:\ProgramData\Anaconda3\envs\faceswap\lib\site-packages\tensorflow_probability\__init__.py", line 75, in <module>
    from tensorflow_probability.python import *  # pylint: disable=wildcard-import
  File "C:\ProgramData\Anaconda3\envs\faceswap\lib\site-packages\tensorflow_probability\python\__init__.py", line 28, in <module>
    from tensorflow_probability.python import mcmc
  File "C:\ProgramData\Anaconda3\envs\faceswap\lib\site-packages\tensorflow_probability\python\mcmc\__init__.py", line 40, in <module>
    from tensorflow_probability.python.mcmc.sample_halton_sequence import sample_halton_sequence
  File "C:\ProgramData\Anaconda3\envs\faceswap\lib\site-packages\tensorflow_probability\python\mcmc\sample_halton_sequence.py", line 385, in <module>
    _PRIMES = _primes_less_than(7919 + 1)
  File "C:\ProgramData\Anaconda3\envs\faceswap\lib\site-packages\tensorflow_probability\python\mcmc\sample_halton_sequence.py", line 374, in _primes_less_than
    sieve = np.ones(n // 3 + (n % 6 == 2), dtype=np.bool)
  File "C:\ProgramData\Anaconda3\envs\faceswap\lib\site-packages\numpy\__init__.py", line 284, in __getattr__
    raise AttributeError("module {!r} has no attribute "
AttributeError: module 'numpy' has no attribute 'bool'

============ System Information ============
backend:             cpu
encoding:            cp936
git_branch:          Not Found
git_commits:         Not Found
gpu_cuda:            9.0
gpu_cudnn:           No global version found. Check Conda packages for Conda cuDNN
gpu_devices:         
gpu_devices_active:  
gpu_driver:          
gpu_vram:            
os_machine:          AMD64
os_platform:         Windows-10-10.0.19044-SP0
os_release:          10
py_command:          E:\faceswap\faceswap.py train -A E:/train/ybysorted -B E:/train/syt2 -m E:/train/model -t original -bs 16 -it 1000000 -s 250 -ss 25000 -L INFO -gui
py_conda_version:    conda 4.10.3
py_implementation:   CPython
py_version:          3.9.15
py_virtual_env:      True
sys_cores:           16
sys_processor:       Intel64 Family 6 Model 45 Stepping 7, GenuineIntel
sys_ram:             Total: 32692MB, Available: 23836MB, Used: 8855MB, Free: 23836MB

=============== Pip Packages ===============
absl-py==1.4.0
appdirs @ file:///home/conda/feedstock_root/build_artifacts/appdirs_1603108395799/work
astunparse==1.6.3
brotlipy @ file:///D:/bld/brotlipy_1666764815687/work
cachetools==5.3.0
certifi==2022.12.7
cffi @ file:///D:/bld/cffi_1671179514672/work
charset-normalizer @ file:///home/conda/feedstock_root/build_artifacts/charset-normalizer_1661170624537/work
cloudpickle==2.2.1
colorama @ file:///home/conda/feedstock_root/build_artifacts/colorama_1666700638685/work
cryptography @ file:///D:/bld/cryptography-split_1672674330068/work
cycler @ file:///home/conda/feedstock_root/build_artifacts/cycler_1635519461629/work
decorator==5.1.1
fastcluster @ file:///D:/bld/fastcluster_1667859058636/work
ffmpy @ file:///home/conda/feedstock_root/build_artifacts/ffmpy_1659474992694/work
flatbuffers==23.1.21
fonttools @ file:///D:/bld/fonttools_1666827219016/work
gast==0.4.0
google-auth==2.16.0
google-auth-oauthlib==0.4.6
google-pasta==0.2.0
grpcio==1.51.1
h5py==3.8.0
idna @ file:///home/conda/feedstock_root/build_artifacts/idna_1663625384323/work
imageio @ file:///home/conda/feedstock_root/build_artifacts/imageio_1674460904928/work
imageio-ffmpeg @ file:///home/conda/feedstock_root/build_artifacts/imageio-ffmpeg_1673483481485/work
importlib-metadata==6.0.0
joblib @ file:///home/conda/feedstock_root/build_artifacts/joblib_1663332044897/work
keras==2.10.0
Keras-Preprocessing==1.1.2
kiwisolver @ file:///D:/bld/kiwisolver_1666805897768/work
libclang==15.0.6.1
Markdown==3.4.1
MarkupSafe==2.1.2
matplotlib @ file:///D:/bld/matplotlib-suite_1661439961257/work
munkres==1.1.4
numexpr @ file:///D:/bld/numexpr_1666816820577/work
numpy @ file:///D:/bld/numpy_1672415944144/work
nvidia-ml-py @ file:///home/conda/feedstock_root/build_artifacts/nvidia-ml-py_1673472441120/work
oauthlib==3.2.2
opencv-python==4.7.0.68
opt-einsum==3.3.0
packaging @ file:///home/conda/feedstock_root/build_artifacts/packaging_1673482170163/work
Pillow @ file:///D:/bld/pillow_1672675426820/work
ply==3.11
pooch @ file:///home/conda/feedstock_root/build_artifacts/pooch_1643032624649/work
protobuf==3.19.6
psutil @ file:///D:/bld/psutil_1667886042967/work
pyasn1==0.4.8
pyasn1-modules==0.2.8
pycparser @ file:///home/conda/feedstock_root/build_artifacts/pycparser_1636257122734/work
pyOpenSSL @ file:///home/conda/feedstock_root/build_artifacts/pyopenssl_1672659226110/work
pyparsing @ file:///home/conda/feedstock_root/build_artifacts/pyparsing_1652235407899/work
PyQt5==5.15.7
PyQt5-sip @ file:///D:/bld/pyqt-split_1674666735227/work/pyqt_sip
PySocks @ file:///D:/bld/pysocks_1661604991356/work
python-dateutil @ file:///home/conda/feedstock_root/build_artifacts/python-dateutil_1626286286081/work
pywin32==304
pywinpty @ file:///D:/bld/pywinpty_1643992546220/work/target/wheels/pywinpty-2.0.2-cp39-none-win_amd64.whl
requests @ file:///home/conda/feedstock_root/build_artifacts/requests_1673863902341/work
requests-oauthlib==1.3.1
rsa==4.9
scikit-learn @ file:///D:/bld/scikit-learn_1674599162048/work
scipy==1.10.0
sip @ file:///D:/bld/sip_1674928908843/work
six @ file:///home/conda/feedstock_root/build_artifacts/six_1620240208055/work
tensorboard==2.10.1
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.1
tensorflow-cpu==2.10.0
tensorflow-estimator==2.10.0
tensorflow-io-gcs-filesystem==0.30.0
tensorflow-probability==0.7.0
tensorflow_intel==2.10.0
termcolor==2.2.0
threadpoolctl @ file:///home/conda/feedstock_root/build_artifacts/threadpoolctl_1643647933166/work
toml @ file:///home/conda/feedstock_root/build_artifacts/toml_1604308577558/work
tornado @ file:///D:/bld/tornado_1666788767305/work
tqdm @ file:///home/conda/feedstock_root/build_artifacts/tqdm_1662214488106/work
typing_extensions @ file:///home/conda/feedstock_root/build_artifacts/typing_extensions_1665144421445/work
unicodedata2 @ file:///D:/bld/unicodedata2_1667240049903/work
urllib3 @ file:///home/conda/feedstock_root/build_artifacts/urllib3_1673452138552/work
Werkzeug==2.2.2
win-inet-pton @ file:///D:/bld/win_inet_pton_1667051142467/work
wrapt==1.14.1
zipp==3.12.0

============== Conda Packages ==============
# packages in environment at C:\ProgramData\Anaconda3\envs\faceswap:
#
# Name                    Version                   Build  Channel
absl-py                   1.4.0                    pypi_0    pypi
aom                       3.5.0                h63175ca_0    conda-forge
appdirs                   1.4.4              pyh9f0ad1d_0    conda-forge
astunparse                1.6.3                    pypi_0    pypi
brotli                    1.0.9                hcfcfb64_8    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
brotli-bin                1.0.9                hcfcfb64_8    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
brotlipy                  0.7.0           py39ha55989b_1005    conda-forge
bzip2                     1.0.8                h8ffe710_4    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
ca-certificates           2022.12.7            h5b45459_0    conda-forge
cachetools                5.3.0                    pypi_0    pypi
certifi                   2022.12.7          pyhd8ed1ab_0    conda-forge
cffi                      1.15.1           py39h68f70e3_3    conda-forge
charset-normalizer        2.1.1              pyhd8ed1ab_0    conda-forge
cloudpickle               2.2.1                    pypi_0    pypi
colorama                  0.4.6              pyhd8ed1ab_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
cryptography              39.0.0           py39hb6bd5e6_0    conda-forge
cycler                    0.11.0             pyhd8ed1ab_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
decorator                 5.1.1                    pypi_0    pypi
expat                     2.5.0                h1537add_0    conda-forge
fastcluster               1.2.6            py39h2ba5b7c_2    conda-forge
ffmpeg                    5.1.2           gpl_h5b1d025_106    conda-forge
ffmpy                     0.3.0              pyhb6f538c_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
flatbuffers               23.1.21                  pypi_0    pypi
font-ttf-dejavu-sans-mono 2.37                 hab24e00_0    conda-forge
font-ttf-inconsolata      3.000                h77eed37_0    conda-forge
font-ttf-source-code-pro  2.038                h77eed37_0    conda-forge
font-ttf-ubuntu           0.83                 hab24e00_0    conda-forge
fontconfig                2.14.2               hbde0cde_0    conda-forge
fonts-conda-ecosystem     1                             0    conda-forge
fonts-conda-forge         1                             0    conda-forge
fonttools                 4.38.0           py39ha55989b_1    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
freetype                  2.12.1               h546665d_1    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
gast                      0.4.0                    pypi_0    pypi
gettext                   0.21.1               h5728263_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
git                       2.39.1               h57928b3_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
glib                      2.74.1               h12be248_1    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
glib-tools                2.74.1               h12be248_1    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
google-auth               2.16.0                   pypi_0    pypi
google-auth-oauthlib      0.4.6                    pypi_0    pypi
google-pasta              0.2.0                    pypi_0    pypi
grpcio                    1.51.1                   pypi_0    pypi
gst-plugins-base          1.21.3               h001b923_1    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
gstreamer                 1.21.3               h6b5321d_1    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
h5py                      3.8.0                    pypi_0    pypi
icu                       70.1                 h0e60522_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
idna                      3.4                pyhd8ed1ab_0    conda-forge
imageio                   2.25.0             pyh24c5eb1_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
imageio-ffmpeg            0.4.8              pyhd8ed1ab_0    conda-forge
importlib-metadata        6.0.0                    pypi_0    pypi
intel-openmp              2023.0.0         h57928b3_25922    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
joblib                    1.2.0              pyhd8ed1ab_0    conda-forge
jpeg                      9e                   h8ffe710_2    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
keras                     2.10.0                   pypi_0    pypi
keras-preprocessing       1.1.2                    pypi_0    pypi
kiwisolver                1.4.4            py39h1f6ef14_1    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
krb5                      1.20.1               heb0366b_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
lcms2                     2.14                 ha5c8aab_1    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
lerc                      4.0.0                h63175ca_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
libblas                   3.9.0              16_win64_mkl    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
libbrotlicommon           1.0.9                hcfcfb64_8    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
libbrotlidec              1.0.9                hcfcfb64_8    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
libbrotlienc              1.0.9                hcfcfb64_8    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
libcblas                  3.9.0              16_win64_mkl    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
libclang                  15.0.6.1                 pypi_0    pypi
libclang13                15.0.7          default_h77d9078_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
libdeflate                1.17                 hcfcfb64_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
libffi                    3.4.2                h8ffe710_5    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
libglib                   2.74.1               he8f3873_1    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
libhwloc                  2.8.0                h039e092_1    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
libiconv                  1.17                 h8ffe710_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
libjpeg-turbo             2.1.4                hcfcfb64_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
liblapack                 3.9.0              16_win64_mkl    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
libogg                    1.3.4                h8ffe710_1    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
libopus                   1.3.1                h8ffe710_1    conda-forge
libpng                    1.6.39               h19919ed_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
libsqlite                 3.40.0               hcfcfb64_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
libtiff                   4.5.0                hf8721a0_2    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
libvorbis                 1.3.7                h0e60522_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
libwebp-base              1.2.4                h8ffe710_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
libxcb                    1.13              hcd874cb_1004    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
libxml2                   2.10.3               hc3477c8_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
libzlib                   1.2.13               hcfcfb64_4    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
m2w64-gcc-libgfortran     5.3.0                         6    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
m2w64-gcc-libs            5.3.0                         7    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
m2w64-gcc-libs-core       5.3.0                         7    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
m2w64-gmp                 6.1.0                         2    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
m2w64-libwinpthread-git   5.0.0.4634.697f757               2    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
markdown                  3.4.1                    pypi_0    pypi
markupsafe                2.1.2                    pypi_0    pypi
matplotlib                3.5.3            py39hcbf5309_2    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
matplotlib-base           3.5.3            py39he03a255_2    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
mkl                       2022.1.0           h6a75c08_874    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
msys2-conda-epoch         20160418                      1    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
munkres                   1.1.4              pyh9f0ad1d_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
numexpr                   2.8.3           mkl_py39h013c7a2_1    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
numpy                     1.24.1           py39hbccbffa_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
nvidia-ml-py              11.525.84          pyhd8ed1ab_2    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
oauthlib                  3.2.2                    pypi_0    pypi
opencv-python             4.7.0.68                 pypi_0    pypi
openh264                  2.3.1                h63175ca_1    conda-forge
openjpeg                  2.5.0                ha2aaf27_2    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
openssl                   3.0.7                hcfcfb64_2    conda-forge
opt-einsum                3.3.0                    pypi_0    pypi
packaging                 23.0               pyhd8ed1ab_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
pcre2                     10.40                h17e33f8_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
pillow                    9.4.0            py39h9767c21_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
pip                       22.3.1             pyhd8ed1ab_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
ply                       3.11                       py_1    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
pooch                     1.6.0              pyhd8ed1ab_0    conda-forge
protobuf                  3.19.6                   pypi_0    pypi
psutil                    5.9.4            py39ha55989b_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
pthread-stubs             0.4               hcd874cb_1001    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
pthreads-win32            2.9.1                hfa6e2cd_3    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
pyasn1                    0.4.8                    pypi_0    pypi
pyasn1-modules            0.2.8                    pypi_0    pypi
pycparser                 2.21               pyhd8ed1ab_0    conda-forge
pyopenssl                 23.0.0             pyhd8ed1ab_0    conda-forge
pyparsing                 3.0.9              pyhd8ed1ab_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
pyqt                      5.15.7           py39hb77abff_3    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
pyqt5-sip                 12.11.0          py39h99910a6_3    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
pysocks                   1.7.1              pyh0701188_6    conda-forge
python                    3.9.15          h4de0772_0_cpython    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
python-dateutil           2.8.2              pyhd8ed1ab_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
python_abi                3.9                      3_cp39    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
pywin32                   304              py39h99910a6_2    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
pywinpty                  2.0.2            py39h99910a6_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
qt-main                   5.15.6               h9580fe5_6    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
requests                  2.28.2             pyhd8ed1ab_0    conda-forge
requests-oauthlib         1.3.1                    pypi_0    pypi
rsa                       4.9                      pypi_0    pypi
scikit-learn              1.2.1            py39h6fe01c0_0    conda-forge
scipy                     1.10.0           py39hfbf2dce_0    conda-forge
setuptools                66.1.1             pyhd8ed1ab_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
sip                       6.7.6            py39h99910a6_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
six                       1.16.0             pyh6c4a22f_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
svt-av1                   1.4.1                h63175ca_0    conda-forge
tbb                       2021.7.0             h91493d7_1    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
tensorboard               2.10.1                   pypi_0    pypi
tensorboard-data-server   0.6.1                    pypi_0    pypi
tensorboard-plugin-wit    1.8.1                    pypi_0    pypi
tensorflow-cpu            2.10.0                   pypi_0    pypi
tensorflow-estimator      2.10.0                   pypi_0    pypi
tensorflow-intel          2.10.0                   pypi_0    pypi
tensorflow-io-gcs-filesystem 0.30.0                   pypi_0    pypi
tensorflow-probability    0.7                        py_1    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
termcolor                 2.2.0                    pypi_0    pypi
threadpoolctl             3.1.0              pyh8a188c0_0    conda-forge
tk                        8.6.12               h8ffe710_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
toml                      0.10.2             pyhd8ed1ab_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
tornado                   6.2              py39ha55989b_1    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
tqdm                      4.64.1             pyhd8ed1ab_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
typing-extensions         4.4.0                hd8ed1ab_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
typing_extensions         4.4.0              pyha770c72_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
tzdata                    2022g                h191b570_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
ucrt                      10.0.22621.0         h57928b3_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
unicodedata2              15.0.0           py39ha55989b_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
urllib3                   1.26.14            pyhd8ed1ab_0    conda-forge
vc                        14.3                hb6edc58_10    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
vs2015_runtime            14.34.31931         h4c5c07a_10    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
werkzeug                  2.2.2                    pypi_0    pypi
wheel                     0.38.4             pyhd8ed1ab_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
win_inet_pton             1.1.0              pyhd8ed1ab_6    conda-forge
winpty                    0.4.3                         4    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
wrapt                     1.14.1                   pypi_0    pypi
x264                      1!164.3095           h8ffe710_2    conda-forge
x265                      3.5                  h2d74725_3    conda-forge
xorg-libxau               1.0.9                hcd874cb_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
xorg-libxdmcp             1.1.3                hcd874cb_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
xz                        5.2.6                h8d14728_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
zipp                      3.12.0                   pypi_0    pypi
zstd                      1.5.2                h12be248_6    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge

================= Configs ==================
--------- .faceswap ---------
backend:                  cpu

--------- convert.ini ---------

[color.color_transfer]
clip:                     True
preserve_paper:           True

[color.manual_balance]
colorspace:               HSV
balance_1:                0.0
balance_2:                0.0
balance_3:                0.0
contrast:                 0.0
brightness:               0.0

[color.match_hist]
threshold:                99.0

[mask.mask_blend]
type:                     normalized
kernel_size:              3
passes:                   4
threshold:                4
erosion:                  0.0
erosion_top:              0.0
erosion_bottom:           0.0
erosion_left:             0.0
erosion_right:            0.0

[scaling.sharpen]
method:                   none
amount:                   150
radius:                   0.3
threshold:                5.0

[writer.ffmpeg]
container:                mp4
codec:                    libx264
crf:                      23
preset:                   medium
tune:                     none
profile:                  auto
level:                    auto
skip_mux:                 False

[writer.gif]
fps:                      25
loop:                     0
palettesize:              256
subrectangles:            False

[writer.opencv]
format:                   png
draw_transparent:         False
separate_mask:            False
jpg_quality:              75
png_compress_level:       3

[writer.pillow]
format:                   png
draw_transparent:         False
separate_mask:            False
optimize:                 False
gif_interlace:            True
jpg_quality:              75
png_compress_level:       3
tif_compression:          tiff_deflate

--------- extract.ini ---------

[global]
allow_growth:             False
aligner_min_scale:        0.07
aligner_max_scale:        2.0
aligner_distance:         22.5
aligner_roll:             45.0
aligner_features:         True
filter_refeed:            True
save_filtered:            False
realign_refeeds:          True
filter_realign:           True

[align.fan]
batch-size:               12

[detect.cv2_dnn]
confidence:               50

[detect.mtcnn]
minsize:                  20
scalefactor:              0.709
batch-size:               8
cpu:                      True
threshold_1:              0.6
threshold_2:              0.7
threshold_3:              0.7

[detect.s3fd]
confidence:               70
batch-size:               4

[mask.bisenet_fp]
batch-size:               8
cpu:                      False
weights:                  faceswap
include_ears:             False
include_hair:             False
include_glasses:          True

[mask.custom]
batch-size:               8
centering:                face
fill:                     False

[mask.unet_dfl]
batch-size:               8

[mask.vgg_clear]
batch-size:               6

[mask.vgg_obstructed]
batch-size:               2

[recognition.vgg_face2]
batch-size:               16
cpu:                      False

--------- gui.ini ---------

[global]
fullscreen:               False
tab:                      extract
options_panel_width:      30
console_panel_height:     20
icon_size:                14
font:                     default
font_size:                9
autosave_last_session:    prompt
timeout:                  120
auto_load_model_stats:    True

--------- train.ini ---------

[global]
centering:                face
coverage:                 87.5
icnr_init:                False
conv_aware_init:          False
optimizer:                adam
learning_rate:            5e-05
epsilon_exponent:         -7
autoclip:                 False
reflect_padding:          False
allow_growth:             False
mixed_precision:          False
nan_protection:           True
convert_batchsize:        16

[global.loss]
loss_function:            ssim
loss_function_2:          mse
loss_weight_2:            100
loss_function_3:          none
loss_weight_3:            0
loss_function_4:          none
loss_weight_4:            0
mask_loss_function:       mse
eye_multiplier:           3
mouth_multiplier:         2
penalized_mask_loss:      True
mask_type:                extended
mask_blur_kernel:         3
mask_threshold:           4
learn_mask:               False

[model.dfaker]
output_size:              128

[model.dfl_h128]
lowmem:                   False

[model.dfl_sae]
input_size:               128
architecture:             df
autoencoder_dims:         0
encoder_dims:             42
decoder_dims:             21
multiscale_decoder:       False

[model.dlight]
features:                 best
details:                  good
output_size:              256

[model.original]
lowmem:                   False

[model.phaze_a]
output_size:              128
shared_fc:                none
enable_gblock:            True
split_fc:                 True
split_gblock:             False
split_decoders:           False
enc_architecture:         fs_original
enc_scaling:              7
enc_load_weights:         True
bottleneck_type:          dense
bottleneck_norm:          none
bottleneck_size:          1024
bottleneck_in_encoder:    True
fc_depth:                 1
fc_min_filters:           1024
fc_max_filters:           1024
fc_dimensions:            4
fc_filter_slope:          -0.5
fc_dropout:               0.0
fc_upsampler:             upsample2d
fc_upsamples:             1
fc_upsample_filters:      512
fc_gblock_depth:          3
fc_gblock_min_nodes:      512
fc_gblock_max_nodes:      512
fc_gblock_filter_slope:   -0.5
fc_gblock_dropout:        0.0
dec_upscale_method:       subpixel
dec_upscales_in_fc:       0
dec_norm:                 none
dec_min_filters:          64
dec_max_filters:          512
dec_slope_mode:           full
dec_filter_slope:         -0.45
dec_res_blocks:           1
dec_output_kernel:        5
dec_gaussian:             True
dec_skip_last_residual:   True
freeze_layers:            keras_encoder
load_layers:              encoder
fs_original_depth:        4
fs_original_min_filters:  128
fs_original_max_filters:  1024
fs_original_use_alt:      False
mobilenet_width:          1.0
mobilenet_depth:          1
mobilenet_dropout:        0.001
mobilenet_minimalistic:   False

[model.realface]
input_size:               64
output_size:              128
dense_nodes:              1536
complexity_encoder:       128
complexity_decoder:       512

[model.unbalanced]
input_size:               128
lowmem:                   False
nodes:                    1024
complexity_encoder:       128
complexity_decoder_a:     384
complexity_decoder_b:     512

[model.villain]
lowmem:                   False

[trainer.original]
preview_images:           14
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