Hi,
I keep getting this error when trying to do a convert.
I've trained a model and everything seems ready for a conversion, but when I initialized a convert I get "CRITICAL An unexpected crash has occurred"
Covert
-Target video is selected
-Alignement file created just for that target, is selected
-Trained model directory is selected
Crash.
Also get the same error using extracted images with a correspondeing alignment file instead of a target video.
Also get the same error trying to use the preview function in tools.
Am I doing something wrong? TIA
Crash Report Log
Code: Select all
12/16/2020 17:00:59 MainProcess MainThread config add_item DEBUG Add item: (section: 'model.dfl_sae', title: 'encoder_dims', datatype: '<class 'int'>', default: '42', info: 'Encoder dimensions per channel. Higher number of encoder dimensions will help the model to recognize more facial features, but will require more VRAM.', rounding: '1', min_max: (21, 85), choices: None, gui_radio: False, fixed: True, group: network)
12/16/2020 17:00:59 MainProcess MainThread config add_item DEBUG Add item: (section: 'model.dfl_sae', title: 'decoder_dims', datatype: '<class 'int'>', default: '21', info: 'Decoder dimensions per channel. Higher number of decoder dimensions will help the model to improve details, but will require more VRAM.', rounding: '1', min_max: (10, 85), choices: None, gui_radio: False, fixed: True, group: network)
12/16/2020 17:00:59 MainProcess MainThread config add_item DEBUG Add item: (section: 'model.dfl_sae', title: 'multiscale_decoder', datatype: '<class 'bool'>', default: 'False', info: 'Multiscale decoder can help to obtain better details.', rounding: 'None', min_max: None, choices: None, gui_radio: False, fixed: True, group: network)
12/16/2020 17:00:59 MainProcess MainThread _config load_module DEBUG Added defaults: model.dfl_sae
12/16/2020 17:00:59 MainProcess MainThread _config load_module DEBUG Adding defaults: (filename: dlight_defaults.py, module_path: plugins.train.model, plugin_type: model
12/16/2020 17:00:59 MainProcess MainThread _config load_module DEBUG Importing defaults module: plugins.train.model.dlight_defaults
12/16/2020 17:00:59 MainProcess MainThread config add_section DEBUG Add section: (title: 'model.dlight', info: 'A lightweight, high resolution Dfaker variant (Adapted from https://github.com/dfaker/df)\nNB: Unless specifically stated, values changed here will only take effect when creating a new model.')
12/16/2020 17:00:59 MainProcess MainThread config add_item DEBUG Add item: (section: 'model.dlight', title: 'features', datatype: '<class 'str'>', default: 'best', info: 'Higher settings will allow learning more features such as tatoos, piercing,\nand wrinkles.\nStrongly affects VRAM usage.', rounding: 'None', min_max: None, choices: ['lowmem', 'fair', 'best'], gui_radio: True, fixed: True, group: None)
12/16/2020 17:00:59 MainProcess MainThread config add_item DEBUG Add item: (section: 'model.dlight', title: 'details', datatype: '<class 'str'>', default: 'good', info: 'Defines detail fidelity. Lower setting can appear 'rugged' while 'good' might take onger time to train.\nAffects VRAM usage.', rounding: 'None', min_max: None, choices: ['fast', 'good'], gui_radio: True, fixed: True, group: None)
12/16/2020 17:00:59 MainProcess MainThread config add_item DEBUG Add item: (section: 'model.dlight', title: 'output_size', datatype: '<class 'int'>', default: '256', info: 'Output image resolution (in pixels).\nBe aware that larger resolution will increase VRAM requirements.\nNB: Must be either 128, 256, or 384.', rounding: '128', min_max: (128, 384), choices: [], gui_radio: False, fixed: True, group: None)
12/16/2020 17:00:59 MainProcess MainThread _config load_module DEBUG Added defaults: model.dlight
12/16/2020 17:00:59 MainProcess MainThread _config load_module DEBUG Adding defaults: (filename: original_defaults.py, module_path: plugins.train.model, plugin_type: model
12/16/2020 17:00:59 MainProcess MainThread _config load_module DEBUG Importing defaults module: plugins.train.model.original_defaults
12/16/2020 17:00:59 MainProcess MainThread config add_section DEBUG Add section: (title: 'model.original', info: 'Original Faceswap Model.\nNB: Unless specifically stated, values changed here will only take effect when creating a new model.')
12/16/2020 17:00:59 MainProcess MainThread config add_item DEBUG Add item: (section: 'model.original', title: 'lowmem', datatype: '<class 'bool'>', default: 'False', info: 'Lower memory mode. Set to 'True' if having issues with VRAM useage.\nNB: Models with a changed lowmem mode are not compatible with each other.', rounding: 'None', min_max: None, choices: [], gui_radio: False, fixed: True, group: settings)
12/16/2020 17:00:59 MainProcess MainThread _config load_module DEBUG Added defaults: model.original
12/16/2020 17:00:59 MainProcess MainThread _config load_module DEBUG Adding defaults: (filename: realface_defaults.py, module_path: plugins.train.model, plugin_type: model
12/16/2020 17:00:59 MainProcess MainThread _config load_module DEBUG Importing defaults module: plugins.train.model.realface_defaults
12/16/2020 17:00:59 MainProcess MainThread config add_section DEBUG Add section: (title: 'model.realface', info: 'An extra detailed variant of Original model.\nIncorporates ideas from Bryanlyon and inspiration from the Villain model.\nRequires about 6GB-8GB of VRAM (batchsize 8-16).\n\nNB: Unless specifically stated, values changed here will only take effect when creating a new model.')
12/16/2020 17:00:59 MainProcess MainThread config add_item DEBUG Add item: (section: 'model.realface', title: 'input_size', datatype: '<class 'int'>', default: '64', info: 'Resolution (in pixels) of the input image to train on.\nBE AWARE Larger resolution will dramatically increase VRAM requirements.\nHigher resolutions may increase prediction accuracy, but does not effect the resulting output size.\nMust be between 64 and 128 and be divisible by 16.', rounding: '16', min_max: (64, 128), choices: [], gui_radio: False, fixed: True, group: size)
12/16/2020 17:00:59 MainProcess MainThread config add_item DEBUG Add item: (section: 'model.realface', title: 'output_size', datatype: '<class 'int'>', default: '128', info: 'Output image resolution (in pixels).\nBe aware that larger resolution will increase VRAM requirements.\nNB: Must be between 64 and 256 and be divisible by 16.', rounding: '16', min_max: (64, 256), choices: [], gui_radio: False, fixed: True, group: size)
12/16/2020 17:00:59 MainProcess MainThread config add_item DEBUG Add item: (section: 'model.realface', title: 'dense_nodes', datatype: '<class 'int'>', default: '1536', info: 'Number of nodes for decoder. Might affect your model's ability to learn in general.\nNote that: Lower values will affect the ability to predict details.', rounding: '64', min_max: (768, 2048), choices: [], gui_radio: False, fixed: True, group: network)
12/16/2020 17:00:59 MainProcess MainThread config add_item DEBUG Add item: (section: 'model.realface', title: 'complexity_encoder', datatype: '<class 'int'>', default: '128', info: 'Encoder Convolution Layer Complexity. sensible ranges: 128 to 150.', rounding: '4', min_max: (96, 160), choices: [], gui_radio: False, fixed: True, group: network)
12/16/2020 17:00:59 MainProcess MainThread config add_item DEBUG Add item: (section: 'model.realface', title: 'complexity_decoder', datatype: '<class 'int'>', default: '512', info: 'Decoder Complexity.', rounding: '4', min_max: (512, 544), choices: [], gui_radio: False, fixed: True, group: network)
12/16/2020 17:00:59 MainProcess MainThread _config load_module DEBUG Added defaults: model.realface
12/16/2020 17:00:59 MainProcess MainThread _config load_module DEBUG Adding defaults: (filename: unbalanced_defaults.py, module_path: plugins.train.model, plugin_type: model
12/16/2020 17:00:59 MainProcess MainThread _config load_module DEBUG Importing defaults module: plugins.train.model.unbalanced_defaults
12/16/2020 17:00:59 MainProcess MainThread config add_section DEBUG Add section: (title: 'model.unbalanced', info: 'An unbalanced model with adjustable input size options.\nThis is an unbalanced model so b>a swaps may not work well\n\nNB: Unless specifically stated, values changed here will only take effect when creating a new model.')
12/16/2020 17:00:59 MainProcess MainThread config add_item DEBUG Add item: (section: 'model.unbalanced', title: 'input_size', datatype: '<class 'int'>', default: '128', info: 'Resolution (in pixels) of the image to train on.\nBE AWARE Larger resolution will dramatically increaseVRAM requirements.\nMake sure your resolution is divisible by 64 (e.g. 64, 128, 256 etc.).\nNB: Your faceset must be at least 1.6x larger than your required input size.\n(e.g. 160 is the maximum input size for a 256x256 faceset).', rounding: '64', min_max: (64, 512), choices: [], gui_radio: False, fixed: True, group: size)
12/16/2020 17:00:59 MainProcess MainThread config add_item DEBUG Add item: (section: 'model.unbalanced', title: 'lowmem', datatype: '<class 'bool'>', default: 'False', info: 'Lower memory mode. Set to 'True' if having issues with VRAM useage.\nNB: Models with a changed lowmem mode are not compatible with each other.\nNB: lowmem will override cutom nodes and complexity settings.', rounding: 'None', min_max: None, choices: [], gui_radio: False, fixed: True, group: settings)
12/16/2020 17:00:59 MainProcess MainThread config add_item DEBUG Add item: (section: 'model.unbalanced', title: 'clipnorm', datatype: '<class 'bool'>', default: 'True', info: 'Controls gradient clipping of the optimizer. Can prevent model corruption at the expense of VRAM.', rounding: 'None', min_max: None, choices: [], gui_radio: False, fixed: True, group: settings)
12/16/2020 17:00:59 MainProcess MainThread config add_item DEBUG Add item: (section: 'model.unbalanced', title: 'nodes', datatype: '<class 'int'>', default: '1024', info: 'Number of nodes for decoder. Don't change this unless you know what you are doing!', rounding: '64', min_max: (512, 4096), choices: [], gui_radio: False, fixed: True, group: network)
12/16/2020 17:00:59 MainProcess MainThread config add_item DEBUG Add item: (section: 'model.unbalanced', title: 'complexity_encoder', datatype: '<class 'int'>', default: '128', info: 'Encoder Convolution Layer Complexity. sensible ranges: 128 to 160.', rounding: '16', min_max: (64, 1024), choices: [], gui_radio: False, fixed: True, group: network)
12/16/2020 17:00:59 MainProcess MainThread config add_item DEBUG Add item: (section: 'model.unbalanced', title: 'complexity_decoder_a', datatype: '<class 'int'>', default: '384', info: 'Decoder A Complexity.', rounding: '16', min_max: (64, 1024), choices: [], gui_radio: False, fixed: True, group: network)
12/16/2020 17:00:59 MainProcess MainThread config add_item DEBUG Add item: (section: 'model.unbalanced', title: 'complexity_decoder_b', datatype: '<class 'int'>', default: '512', info: 'Decoder B Complexity.', rounding: '16', min_max: (64, 1024), choices: [], gui_radio: False, fixed: True, group: network)
12/16/2020 17:00:59 MainProcess MainThread _config load_module DEBUG Added defaults: model.unbalanced
12/16/2020 17:00:59 MainProcess MainThread _config load_module DEBUG Adding defaults: (filename: villain_defaults.py, module_path: plugins.train.model, plugin_type: model
12/16/2020 17:00:59 MainProcess MainThread _config load_module DEBUG Importing defaults module: plugins.train.model.villain_defaults
12/16/2020 17:00:59 MainProcess MainThread config add_section DEBUG Add section: (title: 'model.villain', info: 'A Higher resolution version of the Original Model by VillainGuy.\nExtremely VRAM heavy. Don't try to run this if you have a small GPU.\n\nNB: Unless specifically stated, values changed here will only take effect when creating a new model.')
12/16/2020 17:00:59 MainProcess MainThread config add_item DEBUG Add item: (section: 'model.villain', title: 'lowmem', datatype: '<class 'bool'>', default: 'False', info: 'Lower memory mode. Set to 'True' if having issues with VRAM useage.\nNB: Models with a changed lowmem mode are not compatible with each other.', rounding: 'None', min_max: None, choices: [], gui_radio: False, fixed: True, group: settings)
12/16/2020 17:00:59 MainProcess MainThread _config load_module DEBUG Added defaults: model.villain
12/16/2020 17:00:59 MainProcess MainThread _config load_module DEBUG Adding defaults: (filename: original_defaults.py, module_path: plugins.train.trainer, plugin_type: trainer
12/16/2020 17:00:59 MainProcess MainThread _config load_module DEBUG Importing defaults module: plugins.train.trainer.original_defaults
12/16/2020 17:00:59 MainProcess MainThread config add_section DEBUG Add section: (title: 'trainer.original', info: 'Original Trainer Options.\nWARNING: The defaults for augmentation will be fine for 99.9% of use cases. Only change them if you absolutely know what you are doing!')
12/16/2020 17:00:59 MainProcess MainThread config add_item DEBUG Add item: (section: 'trainer.original', title: 'preview_images', datatype: '<class 'int'>', default: '14', info: 'Number of sample faces to display for each side in the preview when training.', rounding: '2', min_max: (2, 16), choices: None, gui_radio: False, fixed: True, group: evaluation)
12/16/2020 17:00:59 MainProcess MainThread config add_item DEBUG Add item: (section: 'trainer.original', title: 'zoom_amount', datatype: '<class 'int'>', default: '5', info: 'Percentage amount to randomly zoom each training image in and out.', rounding: '1', min_max: (0, 25), choices: None, gui_radio: False, fixed: True, group: image augmentation)
12/16/2020 17:00:59 MainProcess MainThread config add_item DEBUG Add item: (section: 'trainer.original', title: 'rotation_range', datatype: '<class 'int'>', default: '10', info: 'Percentage amount to randomly rotate each training image.', rounding: '1', min_max: (0, 25), choices: None, gui_radio: False, fixed: True, group: image augmentation)
12/16/2020 17:00:59 MainProcess MainThread config add_item DEBUG Add item: (section: 'trainer.original', title: 'shift_range', datatype: '<class 'int'>', default: '5', info: 'Percentage amount to randomly shift each training image horizontally and vertically.', rounding: '1', min_max: (0, 25), choices: None, gui_radio: False, fixed: True, group: image augmentation)
12/16/2020 17:00:59 MainProcess MainThread config add_item DEBUG Add item: (section: 'trainer.original', title: 'flip_chance', datatype: '<class 'int'>', default: '50', info: 'Percentage chance to randomly flip each training image horizontally.\nNB: This is ignored if the 'no-flip' option is enabled', rounding: '1', min_max: (0, 75), choices: None, gui_radio: False, fixed: True, group: image augmentation)
12/16/2020 17:00:59 MainProcess MainThread config add_item DEBUG Add item: (section: 'trainer.original', title: 'disable_warp', datatype: '<class 'bool'>', default: 'False', info: 'Disable warp augmentation. Warping is integral to the Neural Network training. If you decide to disable warping, you should only do so towards the end of a model's training session.', rounding: 'None', min_max: None, choices: None, gui_radio: False, fixed: False, group: image augmentation)
12/16/2020 17:00:59 MainProcess MainThread config add_item DEBUG Add item: (section: 'trainer.original', title: 'color_lightness', datatype: '<class 'int'>', default: '30', info: 'Percentage amount to randomly alter the lightness of each training image.\nNB: This is ignored if the 'no-flip' option is enabled', rounding: '1', min_max: (0, 75), choices: None, gui_radio: False, fixed: True, group: color augmentation)
12/16/2020 17:00:59 MainProcess MainThread config add_item DEBUG Add item: (section: 'trainer.original', title: 'color_ab', datatype: '<class 'int'>', default: '8', info: 'Percentage amount to randomly alter the 'a' and 'b' colors of the L*a*b* color space of each training image.\nNB: This is ignored if the 'no-flip' option is enabled', rounding: '1', min_max: (0, 50), choices: None, gui_radio: False, fixed: True, group: color augmentation)
12/16/2020 17:00:59 MainProcess MainThread config add_item DEBUG Add item: (section: 'trainer.original', title: 'color_clahe_chance', datatype: '<class 'int'>', default: '50', info: 'Percentage chance to perform Contrast Limited Adaptive Histogram Equalization on each training image.\nNB: This is ignored if the 'no-augment-color' option is enabled', rounding: '1', min_max: (0, 75), choices: None, gui_radio: False, fixed: False, group: color augmentation)
12/16/2020 17:00:59 MainProcess MainThread config add_item DEBUG Add item: (section: 'trainer.original', title: 'color_clahe_max_size', datatype: '<class 'int'>', default: '4', info: 'The grid size dictates how much Contrast Limited Adaptive Histogram Equalization is performed on any training image selected for clahe. Contrast will be applied randomly with a gridsize of 0 up to the maximum. This value is a multiplier calculated from the training image size.\nNB: This is ignored if the 'no-augment-color' option is enabled', rounding: '1', min_max: (1, 8), choices: None, gui_radio: False, fixed: True, group: color augmentation)
12/16/2020 17:00:59 MainProcess MainThread _config load_module DEBUG Added defaults: trainer.original
12/16/2020 17:00:59 MainProcess MainThread config handle_config DEBUG Handling config
12/16/2020 17:00:59 MainProcess MainThread config check_exists DEBUG Config file exists: 'C:\Users\clano\faceswap\config\train.ini'
12/16/2020 17:00:59 MainProcess MainThread config load_config VERBOSE Loading config: 'C:\Users\clano\faceswap\config\train.ini'
12/16/2020 17:00:59 MainProcess MainThread config validate_config DEBUG Validating config
12/16/2020 17:00:59 MainProcess MainThread config check_config_change DEBUG Default config has not changed
12/16/2020 17:00:59 MainProcess MainThread config check_config_choices DEBUG Checking config choices
12/16/2020 17:00:59 MainProcess MainThread config check_config_choices DEBUG Checked config choices
12/16/2020 17:00:59 MainProcess MainThread config validate_config DEBUG Validated config
12/16/2020 17:00:59 MainProcess MainThread config handle_config DEBUG Handled config
12/16/2020 17:00:59 MainProcess MainThread config __init__ DEBUG Initialized: Config
12/16/2020 17:00:59 MainProcess MainThread config get DEBUG Getting config item: (section: 'global', option: 'learning_rate')
12/16/2020 17:00:59 MainProcess MainThread config get DEBUG Returning item: (type: <class 'float'>, value: 5e-05)
12/16/2020 17:00:59 MainProcess MainThread config get DEBUG Getting config item: (section: 'global', option: 'allow_growth')
12/16/2020 17:00:59 MainProcess MainThread config get DEBUG Returning item: (type: <class 'bool'>, value: False)
12/16/2020 17:00:59 MainProcess MainThread config get DEBUG Getting config item: (section: 'global', option: 'convert_batchsize')
12/16/2020 17:00:59 MainProcess MainThread config get DEBUG Returning item: (type: <class 'int'>, value: 16)
12/16/2020 17:00:59 MainProcess MainThread config changeable_items DEBUG Alterable for existing models: {'learning_rate': 5e-05, 'allow_growth': False, 'convert_batchsize': 16}
12/16/2020 17:00:59 MainProcess MainThread _base __init__ DEBUG Initializing State: (model_dir: 'D:\Desktop\New folder (2)\Faceswap 2\ModelAB', model_name: 'original', config_changeable_items: '{'learning_rate': 5e-05, 'allow_growth': False, 'convert_batchsize': 16}', no_logs: False, training_image_size: '256'
12/16/2020 17:00:59 MainProcess MainThread serializer get_serializer DEBUG <lib.serializer._JSONSerializer object at 0x0000025537355E50>
12/16/2020 17:00:59 MainProcess MainThread _base _load DEBUG Loading State
12/16/2020 17:00:59 MainProcess MainThread serializer load DEBUG filename: D:\Desktop\New folder (2)\Faceswap 2\ModelAB\original_state.json
12/16/2020 17:00:59 MainProcess MainThread serializer load DEBUG stored data type: <class 'bytes'>
12/16/2020 17:00:59 MainProcess MainThread serializer unmarshal DEBUG data type: <class 'bytes'>
12/16/2020 17:00:59 MainProcess MainThread serializer unmarshal DEBUG returned data type: <class 'dict'>
12/16/2020 17:00:59 MainProcess MainThread serializer load DEBUG data type: <class 'dict'>
12/16/2020 17:00:59 MainProcess MainThread _base _load DEBUG Loaded state: {'name': 'original', 'sessions': {'1': {'timestamp': 1608043835.2072837, 'no_logs': False, 'loss_names': ['total', 'face_a', 'face_b'], 'batchsize': 16, 'iterations': 107, 'config': {'learning_rate': 5e-05, 'allow_growth': False, 'convert_batchsize': 16}}}, 'lowest_avg_loss': {'a': 0.2235737937801289, 'b': 0.20095931963538224}, 'iterations': 107, 'training_size': 256, 'config': {'coverage': 68.75, 'optimizer': 'adam', 'learning_rate': 5e-05, 'allow_growth': False, 'mixed_precision': False, '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, 'lowmem': False}}
12/16/2020 17:00:59 MainProcess MainThread _base _update_legacy_config DEBUG Checking for legacy state file update
12/16/2020 17:00:59 MainProcess MainThread _base _update_legacy_config DEBUG Legacy item 'dssim_loss' not in config. Skipping update
12/16/2020 17:00:59 MainProcess MainThread _base _update_legacy_config DEBUG State file updated for legacy config: False
12/16/2020 17:00:59 MainProcess MainThread _base _replace_config DEBUG Replacing config. Old config: {'coverage': 68.75, 'optimizer': 'adam', 'learning_rate': 5e-05, 'allow_growth': False, 'mixed_precision': False, '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, 'lowmem': False}
12/16/2020 17:00:59 MainProcess MainThread _base _replace_config DEBUG Replaced config. New config: {'coverage': 68.75, 'optimizer': 'adam', 'learning_rate': 5e-05, 'allow_growth': False, 'mixed_precision': False, '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, 'lowmem': False}
12/16/2020 17:00:59 MainProcess MainThread _base _replace_config INFO Using configuration saved in state file
12/16/2020 17:00:59 MainProcess MainThread _base _new_session_id DEBUG 2
12/16/2020 17:00:59 MainProcess MainThread _base _create_new_session DEBUG Creating new session. id: 2
12/16/2020 17:00:59 MainProcess MainThread _base __init__ DEBUG Initialized State:
12/16/2020 17:00:59 MainProcess MainThread _base __init__ DEBUG Initializing _Settings: (arguments: Namespace(alignments_path=None, colab=False, color_adjustment='avg-color', configfile=None, distributed=False, exclude_gpus=None, filter=None, frame_ranges=None, func=<bound method ScriptExecutor.execute_script of <lib.cli.launcher.ScriptExecutor object at 0x00000255190B1D00>>, input_aligned_dir=None, input_dir='D:\\Desktop\\New folder (2)\\Faceswap 2\\Target A.mp4', jobs=0, keep_unchanged=False, logfile=None, loglevel='INFO', mask_type='extended', model_dir='D:\\Desktop\\New folder (2)\\Faceswap 2\\ModelAB', nfilter=None, on_the_fly=True, output_dir='D:\\Desktop\\New folder (2)\\Faceswap 2', output_scale=100, redirect_gui=True, ref_threshold=0.4, reference_video=None, singleprocess=False, swap_model=False, trainer=None, writer='ffmpeg'), mixed_precision: False, allow_growth: False, is_predict: True)
12/16/2020 17:00:59 MainProcess MainThread _base _set_keras_mixed_precision DEBUG use_mixed_precision: False, skip_check: False
12/16/2020 17:00:59 MainProcess MainThread _base _set_keras_mixed_precision DEBUG Not enabling 'mixed_precision' (backend: amd, use_mixed_precision: False)
12/16/2020 17:00:59 MainProcess MainThread _base _get_strategy DEBUG Using strategy: None
12/16/2020 17:00:59 MainProcess MainThread _base __init__ DEBUG Initialized _Settings
12/16/2020 17:00:59 MainProcess MainThread _base __init__ DEBUG Initializing _Loss
12/16/2020 17:00:59 MainProcess MainThread _base __init__ DEBUG Initialized: _Loss
12/16/2020 17:00:59 MainProcess MainThread _base __init__ DEBUG Initialized ModelBase (Model)
12/16/2020 17:00:59 MainProcess MainThread _base strategy_scope DEBUG Using strategy scope: <contextlib.nullcontext object at 0x0000025537355C10>
12/16/2020 17:00:59 MainProcess MainThread _base _load DEBUG Loading model: D:\Desktop\New folder (2)\Faceswap 2\ModelAB\original.h5
Traceback (most recent call last):
File "C:\Users\clano\faceswap\lib\cli\launcher.py", line 181, in execute_script
process = script(arguments)
File "C:\Users\clano\faceswap\scripts\convert.py", line 60, in __init__
self._predictor = Predict(self._disk_io.load_queue, self._queue_size, arguments)
File "C:\Users\clano\faceswap\scripts\convert.py", line 655, in __init__
self._model = self._load_model()
File "C:\Users\clano\faceswap\scripts\convert.py", line 734, in _load_model
model.build()
File "C:\Users\clano\faceswap\plugins\train\model\_base.py", line 260, in build
model = self._io._load() # pylint:disable=protected-access
File "C:\Users\clano\faceswap\plugins\train\model\_base.py", line 521, in _load
model = load_model(self._filename, compile=False)
File "C:\Users\clano\MiniConda3\envs\faceswap\lib\site-packages\keras\engine\saving.py", line 419, in load_model
model = _deserialize_model(f, custom_objects, compile)
File "C:\Users\clano\MiniConda3\envs\faceswap\lib\site-packages\keras\engine\saving.py", line 225, in _deserialize_model
model = model_from_config(model_config, custom_objects=custom_objects)
File "C:\Users\clano\MiniConda3\envs\faceswap\lib\site-packages\keras\engine\saving.py", line 458, in model_from_config
return deserialize(config, custom_objects=custom_objects)
File "C:\Users\clano\MiniConda3\envs\faceswap\lib\site-packages\keras\layers\__init__.py", line 52, in deserialize
return deserialize_keras_object(config,
File "C:\Users\clano\MiniConda3\envs\faceswap\lib\site-packages\keras\utils\generic_utils.py", line 142, in deserialize_keras_object
return cls.from_config(
File "C:\Users\clano\MiniConda3\envs\faceswap\lib\site-packages\keras\engine\network.py", line 1022, in from_config
process_layer(layer_data)
File "C:\Users\clano\MiniConda3\envs\faceswap\lib\site-packages\keras\engine\network.py", line 1007, in process_layer
layer = deserialize_layer(layer_data,
File "C:\Users\clano\MiniConda3\envs\faceswap\lib\site-packages\keras\layers\__init__.py", line 52, in deserialize
return deserialize_keras_object(config,
File "C:\Users\clano\MiniConda3\envs\faceswap\lib\site-packages\keras\utils\generic_utils.py", line 147, in deserialize_keras_object
return cls.from_config(config['config'])
File "C:\Users\clano\MiniConda3\envs\faceswap\lib\site-packages\keras\engine\base_layer.py", line 1109, in from_config
return cls(**config)
File "C:\Users\clano\MiniConda3\envs\faceswap\lib\site-packages\keras\legacy\interfaces.py", line 91, in wrapper
return func(*args, **kwargs)
TypeError: __init__() got an unexpected keyword argument 'ragged'
============ System Information ============
encoding: cp1252
git_branch: Not Found
git_commits: Not Found
gpu_cuda: No global version found. Check Conda packages for Conda Cuda
gpu_cudnn: No global version found. Check Conda packages for Conda cuDNN
gpu_devices: GPU_0: Advanced Micro Devices, Inc. - Ellesmere (experimental), GPU_1: Advanced Micro Devices, Inc. - Ellesmere (supported)
gpu_devices_active: GPU_0, GPU_1
gpu_driver: ['3110.7', '3110.7']
gpu_vram: GPU_0: 4096MB, GPU_1: 4096MB
os_machine: AMD64
os_platform: Windows-10-10.0.18362-SP0
os_release: 10
py_command: C:\Users\clano\faceswap\faceswap.py convert -i D:/Desktop/New folder (2)/Faceswap 2/Target A.mp4 -o D:/Desktop/New folder (2)/Faceswap 2 -m D:/Desktop/New folder (2)/Faceswap 2/ModelAB -c avg-color -M extended -w ffmpeg -osc 100 -l 0.4 -j 0 -otf -L INFO -gui
py_conda_version: conda 4.9.2
py_implementation: CPython
py_version: 3.8.5
py_virtual_env: True
sys_cores: 16
sys_processor: AMD64 Family 23 Model 113 Stepping 0, AuthenticAMD
sys_ram: Total: 32699MB, Available: 16669MB, Used: 16029MB, Free: 16669MB
=============== Pip Packages ===============
absl-py==0.11.0
astunparse==1.6.3
cachetools==4.2.0
certifi==2020.12.5
cffi==1.14.4
chardet==3.0.4
cycler==0.10.0
enum34==1.1.10
fastcluster==1.1.26
ffmpy==0.2.3
gast==0.3.3
google-auth==1.24.0
google-auth-oauthlib==0.4.2
google-pasta==0.2.0
grpcio==1.34.0
h5py==2.10.0
idna==2.10
imageio @ file:///tmp/build/80754af9/imageio_1594161405741/work
imageio-ffmpeg @ file:///home/conda/feedstock_root/build_artifacts/imageio-ffmpeg_1589202782679/work
joblib @ file:///tmp/build/80754af9/joblib_1607970656719/work
Keras==2.2.4
Keras-Applications==1.0.8
Keras-Preprocessing==1.1.2
kiwisolver @ file:///C:/ci/kiwisolver_1604014703538/work
Markdown==3.3.3
matplotlib @ file:///C:/ci/matplotlib-base_1592837548929/work
mkl-fft==1.2.0
mkl-random==1.1.1
mkl-service==2.3.0
numpy==1.18.5
nvidia-ml-py3 @ git+https://github.com/deepfakes/nvidia-ml-py3.git@6fc29ac84b32bad877f078cb4a777c1548a00bf6
oauthlib==3.1.0
olefile==0.46
opencv-python==4.4.0.46
opt-einsum==3.3.0
pathlib==1.0.1
Pillow @ file:///C:/ci/pillow_1603823068645/work
plaidml==0.7.0
plaidml-keras==0.7.0
protobuf==3.14.0
psutil @ file:///C:/ci/psutil_1598370330503/work
pyasn1==0.4.8
pyasn1-modules==0.2.8
pycparser==2.20
pyparsing==2.4.7
python-dateutil==2.8.1
pywin32==227
PyYAML==5.3.1
requests==2.25.0
requests-oauthlib==1.3.0
rsa==4.6
scikit-learn @ file:///C:/ci/scikit-learn_1598377018496/work
scipy @ file:///C:/ci/scipy_1604596260408/work
sip==4.19.13
six @ file:///C:/ci/six_1605187374963/work
tensorboard==2.2.2
tensorboard-plugin-wit==1.7.0
tensorflow==2.2.1
tensorflow-estimator==2.2.0
termcolor==1.1.0
threadpoolctl @ file:///tmp/tmp9twdgx9k/threadpoolctl-2.1.0-py3-none-any.whl
tornado @ file:///C:/ci/tornado_1606942392901/work
tqdm @ file:///tmp/build/80754af9/tqdm_1607369919789/work
urllib3==1.26.2
Werkzeug==1.0.1
wincertstore==0.2
wrapt==1.12.1
============== Conda Packages ==============
# packages in environment at C:\Users\clano\MiniConda3\envs\faceswap:
#
# Name Version Build Channel
absl-py 0.11.0 pypi_0 pypi
astunparse 1.6.3 pypi_0 pypi
blas 1.0 mkl
ca-certificates 2020.12.8 haa95532_0
cachetools 4.2.0 pypi_0 pypi
certifi 2020.12.5 py38haa95532_0
cffi 1.14.4 pypi_0 pypi
chardet 3.0.4 pypi_0 pypi
cycler 0.10.0 py38_0
enum34 1.1.10 pypi_0 pypi
fastcluster 1.1.26 py38h251f6bf_2 conda-forge
ffmpeg 4.3.1 ha925a31_0 conda-forge
ffmpy 0.2.3 pypi_0 pypi
freetype 2.10.4 hd328e21_0
gast 0.3.3 pypi_0 pypi
git 2.23.0 h6bb4b03_0
google-auth 1.24.0 pypi_0 pypi
google-auth-oauthlib 0.4.2 pypi_0 pypi
google-pasta 0.2.0 pypi_0 pypi
grpcio 1.34.0 pypi_0 pypi
h5py 2.10.0 pypi_0 pypi
icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha925a31_3
idna 2.10 pypi_0 pypi
imageio 2.9.0 py_0
imageio-ffmpeg 0.4.2 py_0 conda-forge
intel-openmp 2020.2 254
joblib 1.0.0 pyhd3eb1b0_0
jpeg 9b hb83a4c4_2
keras 2.2.4 pypi_0 pypi
keras-applications 1.0.8 pypi_0 pypi
keras-preprocessing 1.1.2 pypi_0 pypi
kiwisolver 1.3.0 py38hd77b12b_0
libpng 1.6.37 h2a8f88b_0
libtiff 4.1.0 h56a325e_1
lz4-c 1.9.2 hf4a77e7_3
markdown 3.3.3 pypi_0 pypi
matplotlib 3.2.2 0
matplotlib-base 3.2.2 py38h64f37c6_0
mkl 2020.2 256
mkl-service 2.3.0 py38h196d8e1_0
mkl_fft 1.2.0 py38h45dec08_0
mkl_random 1.1.1 py38h47e9c7a_0
numpy 1.18.5 pypi_0 pypi
nvidia-ml-py3 7.352.1 pypi_0 pypi
oauthlib 3.1.0 pypi_0 pypi
olefile 0.46 py_0
opencv-python 4.4.0.46 pypi_0 pypi
openssl 1.1.1i h2bbff1b_0
opt-einsum 3.3.0 pypi_0 pypi
pathlib 1.0.1 py_1
pillow 8.0.1 py38h4fa10fc_0
pip 20.3.1 py38haa95532_0
plaidml 0.7.0 pypi_0 pypi
plaidml-keras 0.7.0 pypi_0 pypi
protobuf 3.14.0 pypi_0 pypi
psutil 5.7.2 py38he774522_0
pyasn1 0.4.8 pypi_0 pypi
pyasn1-modules 0.2.8 pypi_0 pypi
pycparser 2.20 pypi_0 pypi
pyparsing 2.4.7 py_0
pyqt 5.9.2 py38ha925a31_4
python 3.8.5 h5fd99cc_1
python-dateutil 2.8.1 py_0
python_abi 3.8 1_cp38 conda-forge
pywin32 227 py38he774522_1
pyyaml 5.3.1 pypi_0 pypi
qt 5.9.7 vc14h73c81de_0
requests 2.25.0 pypi_0 pypi
requests-oauthlib 1.3.0 pypi_0 pypi
rsa 4.6 pypi_0 pypi
scikit-learn 0.23.2 py38h47e9c7a_0
scipy 1.5.2 py38h14eb087_0
setuptools 51.0.0 py38haa95532_2
sip 4.19.13 py38ha925a31_0
six 1.15.0 py38haa95532_0
sqlite 3.33.0 h2a8f88b_0
tensorboard 2.2.2 pypi_0 pypi
tensorboard-plugin-wit 1.7.0 pypi_0 pypi
tensorflow 2.2.1 pypi_0 pypi
tensorflow-estimator 2.2.0 pypi_0 pypi
termcolor 1.1.0 pypi_0 pypi
threadpoolctl 2.1.0 pyh5ca1d4c_0
tk 8.6.10 he774522_0
tornado 6.1 py38h2bbff1b_0
tqdm 4.54.1 pyhd3eb1b0_0
urllib3 1.26.2 pypi_0 pypi
vc 14.2 h21ff451_1
vs2015_runtime 14.27.29016 h5e58377_2
werkzeug 1.0.1 pypi_0 pypi
wheel 0.36.2 pyhd3eb1b0_0
wincertstore 0.2 py38_0
wrapt 1.12.1 pypi_0 pypi
xz 5.2.5 h62dcd97_0
zlib 1.2.11 h62dcd97_4
zstd 1.4.5 h04227a9_0
================= Configs ==================
--------- .faceswap ---------
backend: amd
--------- convert.ini ---------
[color.color_transfer]
clip: True
preserve_paper: True
[color.manual_balance]
colorspace: HSV
balance_1: 0.0
balance_2: 0.0
balance_3: 0.0
contrast: 0.0
brightness: 0.0
[color.match_hist]
threshold: 99.0
[mask.box_blend]
type: gaussian
distance: 11.0
radius: 5.0
passes: 1
[mask.mask_blend]
type: normalized
kernel_size: 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
threshold_1: 0.6
threshold_2: 0.7
threshold_3: 0.7
scalefactor: 0.709
batch-size: 8
[detect.s3fd]
confidence: 70
batch-size: 4
[mask.unet_dfl]
batch-size: 8
[mask.vgg_clear]
batch-size: 6
[mask.vgg_obstructed]
batch-size: 2
--------- gui.ini ---------
[global]
fullscreen: False
tab: extract
options_panel_width: 30
console_panel_height: 20
icon_size: 14
font: default
font_size: 9
autosave_last_session: prompt
timeout: 120
auto_load_model_stats: True
--------- train.ini ---------
[global]
coverage: 68.75
icnr_init: False
conv_aware_init: False
optimizer: adam
learning_rate: 5e-05
reflect_padding: False
allow_growth: False
mixed_precision: False
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.dfl_h128]
lowmem: False
[model.dfl_sae]
input_size: 128
clipnorm: True
architecture: df
autoencoder_dims: 0
encoder_dims: 42
decoder_dims: 21
multiscale_decoder: False
[model.dlight]
features: best
details: good
output_size: 256
[model.original]
lowmem: False
[model.realface]
input_size: 64
output_size: 128
dense_nodes: 1536
complexity_encoder: 128
complexity_decoder: 512
[model.unbalanced]
input_size: 128
lowmem: False
clipnorm: True
nodes: 1024
complexity_encoder: 128
complexity_decoder_a: 384
complexity_decoder_b: 512
[model.villain]
lowmem: False
[trainer.original]
preview_images: 14
zoom_amount: 5
rotation_range: 10
shift_range: 5
flip_chance: 50
disable_warp: False
color_lightness: 30
color_ab: 8
color_clahe_chance: 50
color_clahe_max_size: 4