I think it has something to do with tensor flow but I don't know what to do
So this is the report
Code: Select all
10/12/2021 01:27:38 MainProcess MainThread config _load_defaults_from_module DEBUG Importing defaults module: plugins.convert.mask.mask_blend_defaults
10/12/2021 01:27:38 MainProcess MainThread config add_section DEBUG Add section: (title: 'mask.mask_blend', info: 'Options for blending the edges between the mask and the background image')
10/12/2021 01:27:38 MainProcess MainThread config add_item DEBUG Add item: (section: 'mask.mask_blend', title: 'type', datatype: '<class 'str'>', default: 'normalized', info: 'The type of blending to use:\n gaussian: Blend with Gaussian filter. Slower, but often better than Normalized\n normalized: Blend with Normalized box filter. Faster than Gaussian\n none: Don't perform blending', rounding: 'None', min_max: None, choices: ['gaussian', 'normalized', 'none'], gui_radio: True, fixed: True, group: Blending type)
10/12/2021 01:27:38 MainProcess MainThread config add_item DEBUG Add item: (section: 'mask.mask_blend', title: 'kernel_size', datatype: '<class 'int'>', default: '3', info: 'The kernel size dictates how much blending should occur.\nThe size is the diameter of the kernel in pixels (calculated from a 128px mask). This value should be odd, if an even number is passed in then it will be rounded to the next odd number. Higher sizes means more blending.', rounding: '1', min_max: (1, 9), choices: [], gui_radio: False, fixed: True, group: settings)
10/12/2021 01:27:38 MainProcess MainThread config add_item DEBUG Add item: (section: 'mask.mask_blend', title: 'passes', datatype: '<class 'int'>', default: '4', info: 'The number of passes to perform. Additional passes of the blending algorithm can improve smoothing at a time cost. This is more useful for 'box' type blending.\nAdditional passes have exponentially less effect so it's not worth setting this too high.', rounding: '1', min_max: (1, 8), choices: [], gui_radio: False, fixed: True, group: settings)
10/12/2021 01:27:38 MainProcess MainThread config add_item DEBUG Add item: (section: 'mask.mask_blend', title: 'threshold', datatype: '<class 'int'>', default: '4', info: 'Sets pixels that are near white to white and near black to black. Set to 0 for off.', rounding: '1', min_max: (0, 50), choices: [], gui_radio: False, fixed: True, group: settings)
10/12/2021 01:27:38 MainProcess MainThread config add_item DEBUG Add item: (section: 'mask.mask_blend', title: 'erosion', datatype: '<class 'float'>', default: '0.0', info: 'Erosion kernel size as a percentage of the mask radius area.\nPositive values apply erosion which reduces the size of the swapped area.\nNegative values apply dilation which increases the swapped area.', rounding: '1', min_max: (-100.0, 100.0), choices: [], gui_radio: False, fixed: True, group: settings)
10/12/2021 01:27:38 MainProcess MainThread config _load_defaults_from_module DEBUG Added defaults: mask.mask_blend
10/12/2021 01:27:38 MainProcess MainThread config _load_defaults_from_module DEBUG Adding defaults: (filename: sharpen_defaults.py, module_path: plugins.convert.scaling, plugin_type: scaling
10/12/2021 01:27:38 MainProcess MainThread config _load_defaults_from_module DEBUG Importing defaults module: plugins.convert.scaling.sharpen_defaults
10/12/2021 01:27:38 MainProcess MainThread config add_section DEBUG Add section: (title: 'scaling.sharpen', info: 'Options for sharpening the face after placement')
10/12/2021 01:27:38 MainProcess MainThread config add_item DEBUG Add item: (section: 'scaling.sharpen', title: 'method', datatype: '<class 'str'>', default: 'none', info: 'The type of sharpening to use:\n none: Don't perform any sharpening.\n box: Fastest, but weakest method. Uses a box filter to assess edges.\n gaussian: Slower, but better than box. Uses a gaussian filter to assess edges.\n unsharp-mask: Slowest, but most tweakable. Uses the unsharp-mask method to assess edges.', rounding: 'None', min_max: None, choices: ['none', 'box', 'gaussian', 'unsharp_mask'], gui_radio: True, fixed: True, group: sharpen type)
10/12/2021 01:27:38 MainProcess MainThread config add_item DEBUG Add item: (section: 'scaling.sharpen', title: 'amount', datatype: '<class 'int'>', default: '150', info: 'Percentage that controls the magnitude of each overshoot (how much darker and how much lighter the edge borders become).\nThis can also be thought of as how much contrast is added at the edges. It does not affect the width of the edge rims.', rounding: '1', min_max: (100, 500), choices: [], gui_radio: False, fixed: True, group: settings)
10/12/2021 01:27:38 MainProcess MainThread config add_item DEBUG Add item: (section: 'scaling.sharpen', title: 'radius', datatype: '<class 'float'>', default: '0.3', info: 'Affects the size of the edges to be enhanced or how wide the edge rims become, so a smaller radius enhances smaller-scale detail.\nRadius is set as a percentage of the final frame width and rounded to the nearest pixel. E.g for a 1280 width frame, a 0.6 percenatage will give a radius of 8px.\nHigher radius values can cause halos at the edges, a detectable faint light rim around objects. Fine detail needs a smaller radius. \nRadius and amount interact; reducing one allows more of the other.', rounding: '1', min_max: (0.1, 5.0), choices: [], gui_radio: False, fixed: True, group: settings)
10/12/2021 01:27:38 MainProcess MainThread config add_item DEBUG Add item: (section: 'scaling.sharpen', title: 'threshold', datatype: '<class 'float'>', default: '5.0', info: '[unsharp_mask only] Controls the minimal brightness change that will be sharpened or how far apart adjacent tonal values have to be before the filter does anything.\nThis lack of action is important to prevent smooth areas from becoming speckled. The threshold setting can be used to sharpen more pronounced edges, while leaving subtler edges untouched. \nLow values should sharpen more because fewer areas are excluded. \nHigher threshold values exclude areas of lower contrast.', rounding: '1', min_max: (1.0, 10.0), choices: [], gui_radio: False, fixed: True, group: settings)
10/12/2021 01:27:38 MainProcess MainThread config _load_defaults_from_module DEBUG Added defaults: scaling.sharpen
10/12/2021 01:27:38 MainProcess MainThread config _load_defaults_from_module DEBUG Adding defaults: (filename: ffmpeg_defaults.py, module_path: plugins.convert.writer, plugin_type: writer
10/12/2021 01:27:38 MainProcess MainThread config _load_defaults_from_module DEBUG Importing defaults module: plugins.convert.writer.ffmpeg_defaults
10/12/2021 01:27:38 MainProcess MainThread config add_section DEBUG Add section: (title: 'writer.ffmpeg', info: 'Options for encoding converted frames to video.')
10/12/2021 01:27:38 MainProcess MainThread config add_item DEBUG Add item: (section: 'writer.ffmpeg', title: 'container', datatype: '<class 'str'>', default: 'mp4', info: 'Video container to use.', rounding: 'None', min_max: None, choices: ['avi', 'flv', 'mkv', 'mov', 'mp4', 'mpeg', 'webm'], gui_radio: True, fixed: True, group: codec)
10/12/2021 01:27:38 MainProcess MainThread config add_item DEBUG Add item: (section: 'writer.ffmpeg', title: 'codec', datatype: '<class 'str'>', default: 'libx264', info: 'Video codec to use:\n libx264: H.264. A widely supported and commonly used codec.\n libx265: H.265 / HEVC video encoder application library.', rounding: 'None', min_max: None, choices: ['libx264', 'libx265'], gui_radio: True, fixed: True, group: codec)
10/12/2021 01:27:38 MainProcess MainThread config add_item DEBUG Add item: (section: 'writer.ffmpeg', title: 'crf', datatype: '<class 'int'>', default: '23', info: 'Constant Rate Factor: 0 is lossless and 51 is worst quality possible. A lower value generally leads to higher quality, and a subjectively sane range is 17-28. Consider 17 or 18 to be visually lossless or nearly so; it should look the same or nearly the same as the input but it isn't technically lossless.\nThe range is exponential, so increasing the CRF value +6 results in roughly half the bitrate / file size, while -6 leads to roughly twice the bitrate.', rounding: '1', min_max: (0, 51), choices: [], gui_radio: False, fixed: True, group: quality)
10/12/2021 01:27:38 MainProcess MainThread config add_item DEBUG Add item: (section: 'writer.ffmpeg', title: 'preset', datatype: '<class 'str'>', default: 'medium', info: 'A preset is a collection of options that will provide a certain encoding speed to compression ratio.\nA slower preset will provide better compression (compression is quality per filesize).\nUse the slowest preset that you have patience for.', rounding: 'None', min_max: None, choices: ['ultrafast', 'superfast', 'veryfast', 'faster', 'fast', 'medium', 'slow', 'slower', 'veryslow'], gui_radio: True, fixed: True, group: quality)
10/12/2021 01:27:38 MainProcess MainThread config add_item DEBUG Add item: (section: 'writer.ffmpeg', title: 'tune', datatype: '<class 'str'>', default: 'none', info: 'Change settings based upon the specifics of your input:\n none: Don't perform any additional tuning.\n film: [H.264 only] Use for high quality movie content; lowers deblocking.\n animation: [H.264 only] Good for cartoons; uses higher deblocking and more reference frames.\n grain: Preserves the grain structure in old, grainy film material.\n stillimage: [H.264 only] Good for slideshow-like content.\n fastdecode: Allows faster decoding by disabling certain filters.\n zerolatency: Good for fast encoding and low-latency streaming.', rounding: 'None', min_max: None, choices: ['none', 'film', 'animation', 'grain', 'stillimage', 'fastdecode', 'zerolatency'], gui_radio: False, fixed: True, group: settings)
10/12/2021 01:27:38 MainProcess MainThread config add_item DEBUG Add item: (section: 'writer.ffmpeg', title: 'profile', datatype: '<class 'str'>', default: 'auto', info: '[H.264 Only] Limit the output to a specific H.264 profile. Don't change this unless your target device only supports a certain profile.', rounding: 'None', min_max: None, choices: ['auto', 'baseline', 'main', 'high', 'high10', 'high422', 'high444'], gui_radio: False, fixed: True, group: settings)
10/12/2021 01:27:38 MainProcess MainThread config add_item DEBUG Add item: (section: 'writer.ffmpeg', title: 'level', datatype: '<class 'str'>', default: 'auto', info: '[H.264 Only] Set the encoder level, Don't change this unless your target device only supports a certain level.', rounding: 'None', min_max: None, choices: ['auto', '1', '1b', '1.1', '1.2', '1.3', '2', '2.1', '2.2', '3', '3.1', '3.2', '4', '4.1', '4.2', '5', '5.1', '5.2', '6', '6.1', '6.2'], gui_radio: False, fixed: True, group: settings)
10/12/2021 01:27:38 MainProcess MainThread config add_item DEBUG Add item: (section: 'writer.ffmpeg', title: 'skip_mux', datatype: '<class 'bool'>', default: 'False', info: 'Skip muxing audio to the final video output. This will result in a video without an audio track.', rounding: 'None', min_max: None, choices: None, gui_radio: False, fixed: True, group: settings)
10/12/2021 01:27:38 MainProcess MainThread config _load_defaults_from_module DEBUG Added defaults: writer.ffmpeg
10/12/2021 01:27:38 MainProcess MainThread config _load_defaults_from_module DEBUG Adding defaults: (filename: gif_defaults.py, module_path: plugins.convert.writer, plugin_type: writer
10/12/2021 01:27:38 MainProcess MainThread config _load_defaults_from_module DEBUG Importing defaults module: plugins.convert.writer.gif_defaults
10/12/2021 01:27:38 MainProcess MainThread config add_section DEBUG Add section: (title: 'writer.gif', info: 'Options for outputting converted frames to an animated gif.')
10/12/2021 01:27:38 MainProcess MainThread config add_item DEBUG Add item: (section: 'writer.gif', title: 'fps', datatype: '<class 'int'>', default: '25', info: 'Frames per Second.', rounding: '1', min_max: (1, 60), choices: [], gui_radio: False, fixed: True, group: settings)
10/12/2021 01:27:38 MainProcess MainThread config add_item DEBUG Add item: (section: 'writer.gif', title: 'loop', datatype: '<class 'int'>', default: '0', info: 'The number of iterations. Set to 0 to loop indefinitely.', rounding: '1', min_max: (0, 100), choices: [], gui_radio: False, fixed: True, group: settings)
10/12/2021 01:27:38 MainProcess MainThread config add_item DEBUG Add item: (section: 'writer.gif', title: 'palettesize', datatype: '<class 'str'>', default: '256', info: 'The number of colors to quantize the image to. Is rounded to the nearest power of two.', rounding: 'None', min_max: None, choices: ['2', '4', '8', '16', '32', '64', '128', '256'], gui_radio: False, fixed: True, group: settings)
10/12/2021 01:27:38 MainProcess MainThread config add_item DEBUG Add item: (section: 'writer.gif', title: 'subrectangles', datatype: '<class 'bool'>', default: 'False', info: 'If True, will try and optimize the GIF by storing only the rectangular parts of each frame that change with respect to the previous.', rounding: 'None', min_max: None, choices: [], gui_radio: False, fixed: True, group: settings)
10/12/2021 01:27:38 MainProcess MainThread config _load_defaults_from_module DEBUG Added defaults: writer.gif
10/12/2021 01:27:38 MainProcess MainThread config _load_defaults_from_module DEBUG Adding defaults: (filename: opencv_defaults.py, module_path: plugins.convert.writer, plugin_type: writer
10/12/2021 01:27:38 MainProcess MainThread config _load_defaults_from_module DEBUG Importing defaults module: plugins.convert.writer.opencv_defaults
10/12/2021 01:27:38 MainProcess MainThread config add_section DEBUG Add section: (title: 'writer.opencv', info: 'Options for outputting converted frames to a series of images using OpenCV\nOpenCV can be faster than other image writers, but lacks some configuration options and formats.')
10/12/2021 01:27:38 MainProcess MainThread config add_item DEBUG Add item: (section: 'writer.opencv', title: 'format', datatype: '<class 'str'>', default: 'png', info: 'Image format to use:\n bmp: Windows bitmap\n jpg: JPEG format\n jp2: JPEG 2000 format\n png: Portable Network Graphics\n ppm: Portable Pixmap Format', rounding: 'None', min_max: None, choices: ['bmp', 'jpg', 'jp2', 'png', 'ppm'], gui_radio: True, fixed: True, group: format)
10/12/2021 01:27:38 MainProcess MainThread config add_item DEBUG Add item: (section: 'writer.opencv', title: 'draw_transparent', datatype: '<class 'bool'>', default: 'False', info: 'Place the swapped face on a transparent layer rather than the original frame.\nNB: This is only compatible with images saved in png format. If an incompatible format is selected then the image will be saved as a png.', rounding: 'None', min_max: None, choices: [], gui_radio: False, fixed: True, group: format)
10/12/2021 01:27:38 MainProcess MainThread config add_item DEBUG Add item: (section: 'writer.opencv', title: 'jpg_quality', datatype: '<class 'int'>', default: '75', info: '[jpg only] Set the jpg quality. 1 is worst 95 is best. Higher quality leads to larger file sizes.', rounding: '1', min_max: (1, 95), choices: [], gui_radio: False, fixed: True, group: compression)
10/12/2021 01:27:38 MainProcess MainThread config add_item DEBUG Add item: (section: 'writer.opencv', title: 'png_compress_level', datatype: '<class 'int'>', default: '3', info: '[png only] ZLIB compression level, 1 gives best speed, 9 gives best compression, 0 gives no compression at all.', rounding: '1', min_max: (0, 9), choices: [], gui_radio: False, fixed: True, group: compression)
10/12/2021 01:27:38 MainProcess MainThread config _load_defaults_from_module DEBUG Added defaults: writer.opencv
10/12/2021 01:27:38 MainProcess MainThread config _load_defaults_from_module DEBUG Adding defaults: (filename: pillow_defaults.py, module_path: plugins.convert.writer, plugin_type: writer
10/12/2021 01:27:38 MainProcess MainThread config _load_defaults_from_module DEBUG Importing defaults module: plugins.convert.writer.pillow_defaults
10/12/2021 01:27:38 MainProcess MainThread config add_section DEBUG Add section: (title: 'writer.pillow', info: 'Options for outputting converted frames to a series of images using Pillow\nPillow is more feature rich than OpenCV but can be slower.')
10/12/2021 01:27:38 MainProcess MainThread config add_item DEBUG Add item: (section: 'writer.pillow', title: 'format', datatype: '<class 'str'>', default: 'png', info: 'Image format to use:\n bmp: Windows bitmap\n gif: Graphics Interchange Format (NB: Not animated)\n jpg: JPEG format\n jp2: JPEG 2000 format\n png: Portable Network Graphics\n ppm: Portable Pixmap Format\n tif: Tag Image File Format', rounding: 'None', min_max: None, choices: ['bmp', 'gif', 'jpg', 'jp2', 'png', 'ppm', 'tif'], gui_radio: True, fixed: True, group: format)
10/12/2021 01:27:38 MainProcess MainThread config add_item DEBUG Add item: (section: 'writer.pillow', title: 'draw_transparent', datatype: '<class 'bool'>', default: 'False', info: 'Place the swapped face on a transparent layer rather than the original frame.\nNB: This is only compatible with images saved in png or tif format. If an incompatible format is selected then the image will be saved as a png.', rounding: 'None', min_max: None, choices: [], gui_radio: False, fixed: True, group: format)
10/12/2021 01:27:38 MainProcess MainThread config add_item DEBUG Add item: (section: 'writer.pillow', title: 'optimize', datatype: '<class 'bool'>', default: 'False', info: '[gif, jpg and png only] If enabled, indicates that the encoder should make an extra pass over the image in order to select optimal encoder settings.', rounding: 'None', min_max: None, choices: [], gui_radio: False, fixed: True, group: settings)
10/12/2021 01:27:38 MainProcess MainThread config add_item DEBUG Add item: (section: 'writer.pillow', title: 'gif_interlace', datatype: '<class 'bool'>', default: 'True', info: '[gif only] Set whether to save the gif as interlaced or not.', rounding: 'None', min_max: None, choices: [], gui_radio: False, fixed: True, group: settings)
10/12/2021 01:27:38 MainProcess MainThread config add_item DEBUG Add item: (section: 'writer.pillow', title: 'jpg_quality', datatype: '<class 'int'>', default: '75', info: '[jpg only] Set the jpg quality. 1 is worst 95 is best. Higher quality leads to larger file sizes.', rounding: '1', min_max: (1, 95), choices: [], gui_radio: False, fixed: True, group: compression)
10/12/2021 01:27:38 MainProcess MainThread config add_item DEBUG Add item: (section: 'writer.pillow', title: 'png_compress_level', datatype: '<class 'int'>', default: '3', info: '[png only] ZLIB compression level, 1 gives best speed, 9 gives best compression, 0 gives no compression at all. When optimize option is set to True this has no effect (it is set to 9 regardless of a value passed).', rounding: '1', min_max: (0, 9), choices: [], gui_radio: False, fixed: True, group: compression)
10/12/2021 01:27:38 MainProcess MainThread config add_item DEBUG Add item: (section: 'writer.pillow', title: 'tif_compression', datatype: '<class 'str'>', default: 'tiff_deflate', info: '[tif only] The desired compression method for the file.', rounding: 'None', min_max: None, choices: ['none', 'tiff_ccitt', 'group3', 'group4', 'tiff_jpeg', 'tiff_adobe_deflate', 'tiff_thunderscan', 'tiff_deflate', 'tiff_sgilog', 'tiff_sgilog24', 'tiff_raw_16'], gui_radio: False, fixed: True, group: compression)
10/12/2021 01:27:38 MainProcess MainThread config _load_defaults_from_module DEBUG Added defaults: writer.pillow
10/12/2021 01:27:38 MainProcess MainThread config handle_config DEBUG Handling config: (section: scaling.sharpen, configfile: 'C:\Users\Registrar\faceswap\config\convert.ini')
10/12/2021 01:27:38 MainProcess MainThread config check_exists DEBUG Config file exists: 'C:\Users\Registrar\faceswap\config\convert.ini'
10/12/2021 01:27:38 MainProcess MainThread config load_config VERBOSE Loading config: 'C:\Users\Registrar\faceswap\config\convert.ini'
10/12/2021 01:27:38 MainProcess MainThread config validate_config DEBUG Validating config
10/12/2021 01:27:38 MainProcess MainThread config check_config_change DEBUG Default config has not changed
10/12/2021 01:27:38 MainProcess MainThread config check_config_choices DEBUG Checking config choices
10/12/2021 01:27:38 MainProcess MainThread config check_config_choices DEBUG Checked config choices
10/12/2021 01:27:38 MainProcess MainThread config validate_config DEBUG Validated config
10/12/2021 01:27:38 MainProcess MainThread config handle_config DEBUG Handled config
10/12/2021 01:27:38 MainProcess MainThread config __init__ DEBUG Initialized: Config
10/12/2021 01:27:38 MainProcess MainThread config get DEBUG Getting config item: (section: 'scaling.sharpen', option: 'method')
10/12/2021 01:27:38 MainProcess MainThread config get DEBUG Returning item: (type: <class 'str'>, value: None)
10/12/2021 01:27:38 MainProcess MainThread config get DEBUG Getting config item: (section: 'scaling.sharpen', option: 'amount')
10/12/2021 01:27:38 MainProcess MainThread config get DEBUG Returning item: (type: <class 'int'>, value: 150)
10/12/2021 01:27:38 MainProcess MainThread config get DEBUG Getting config item: (section: 'scaling.sharpen', option: 'radius')
10/12/2021 01:27:38 MainProcess MainThread config get DEBUG Returning item: (type: <class 'float'>, value: 0.3)
10/12/2021 01:27:38 MainProcess MainThread config get DEBUG Getting config item: (section: 'scaling.sharpen', option: 'threshold')
10/12/2021 01:27:38 MainProcess MainThread config get DEBUG Returning item: (type: <class 'float'>, value: 5.0)
10/12/2021 01:27:38 MainProcess MainThread _base set_config DEBUG Config: {'method': None, 'amount': 150, 'radius': 0.3, 'threshold': 5.0}
10/12/2021 01:27:38 MainProcess MainThread _base __init__ DEBUG config: {'method': None, 'amount': 150, 'radius': 0.3, 'threshold': 5.0}
10/12/2021 01:27:38 MainProcess MainThread _base __init__ DEBUG Initialized Scaling
10/12/2021 01:27:38 MainProcess MainThread convert _load_plugins DEBUG Loaded plugins: {'box': <plugins.convert.mask.box_blend.Mask object at 0x000001690B148070>, 'mask': <plugins.convert.mask.mask_blend.Mask object at 0x000001690B148250>, 'color': <plugins.convert.color.match_hist.Color object at 0x000001690B128F40>, 'seamless': None, 'sharpening': None}
10/12/2021 01:27:38 MainProcess MainThread convert __init__ DEBUG Initialized Converter
10/12/2021 01:27:38 MainProcess MainThread convert __init__ DEBUG Initialized Convert
10/12/2021 01:27:38 MainProcess MainThread convert process DEBUG Starting Conversion
10/12/2021 01:27:38 MainProcess MainThread convert _convert_images DEBUG Converting images
10/12/2021 01:27:38 MainProcess MainThread queue_manager get_queue DEBUG QueueManager getting: 'convert_out'
10/12/2021 01:27:38 MainProcess MainThread queue_manager get_queue DEBUG QueueManager got: 'convert_out'
10/12/2021 01:27:38 MainProcess MainThread queue_manager get_queue DEBUG QueueManager getting: 'patch'
10/12/2021 01:27:38 MainProcess MainThread queue_manager get_queue DEBUG QueueManager got: 'patch'
10/12/2021 01:27:38 MainProcess MainThread convert _pool_processes DEBUG 1
10/12/2021 01:27:38 MainProcess MainThread multithreading __init__ DEBUG Initializing MultiThread: (target: 'patch', thread_count: 1)
10/12/2021 01:27:38 MainProcess MainThread multithreading __init__ DEBUG Initialized MultiThread: 'patch'
10/12/2021 01:27:38 MainProcess MainThread multithreading start DEBUG Starting thread(s): 'patch'
10/12/2021 01:27:38 MainProcess MainThread multithreading start DEBUG Starting thread 1 of 1: 'patch_0'
10/12/2021 01:27:38 MainProcess patch_0 convert process DEBUG Starting convert process. (in_queue: <queue.Queue object at 0x0000016906B05FD0>, out_queue: <queue.Queue object at 0x0000016906B05F40>)
10/12/2021 01:27:38 MainProcess MainThread multithreading start DEBUG Started all threads 'patch': 1
10/12/2021 01:27:38 MainProcess MainThread multithreading completed DEBUG False
10/12/2021 01:27:38 MainProcess _load_0 pipeline detected_faces DEBUG Running Detection. Phase: '['detect', 'align', 'mask_0']'
10/12/2021 01:27:38 MainProcess _load_0 pipeline detected_faces DEBUG Running Detection. Phase: '['detect', 'align', 'mask_0']'
10/12/2021 01:27:38 MainProcess _predict_faces_0 multithreading run DEBUG Error in thread (_predict_faces_0): in user code:\n\n C:\Users\Registrar\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py:1462 predict_function *\n return step_function(self, iterator)\n C:\Users\Registrar\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py:1452 step_function **\n outputs = model.distribute_strategy.run(run_step, args=(data,))\n C:\Users\Registrar\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\distribute\distribute_lib.py:1211 run\n return self._extended.call_for_each_replica(fn, args=args, kwargs=kwargs)\n C:\Users\Registrar\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\distribute\distribute_lib.py:2585 call_for_each_replica\n return self._call_for_each_replica(fn, args, kwargs)\n C:\Users\Registrar\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\distribute\distribute_lib.py:2945 _call_for_each_replica\n return fn(*args, **kwargs)\n C:\Users\Registrar\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py:1445 run_step **\n outputs = model.predict_step(data)\n C:\Users\Registrar\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py:1418 predict_step\n return self(x, training=False)\n C:\Users\Registrar\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\base_layer.py:985 __call__\n outputs = call_fn(inputs, *args, **kwargs)\n C:\Users\Registrar\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\functional.py:385 call\n return self._run_internal_graph(\n C:\Users\Registrar\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\functional.py:517 _run_internal_graph\n assert x_id in tensor_dict, 'Could not compute output ' + str(x)\n\n AssertionError: Could not compute output Tensor("decoder_b/face_out_b/Sigmoid:0", shape=(None, 64, 64, 3), dtype=float32)\n
10/12/2021 01:27:38 MainProcess _load_0 pipeline detected_faces DEBUG Running Detection. Phase: '['detect', 'align', 'mask_0']'
10/12/2021 01:27:38 MainProcess _load_0 pipeline detected_faces DEBUG Running Detection. Phase: '['detect', 'align', 'mask_0']'
10/12/2021 01:27:38 MainProcess _load_0 pipeline detected_faces DEBUG Running Detection. Phase: '['detect', 'align', 'mask_0']'
10/12/2021 01:27:39 MainProcess MainThread multithreading check_and_raise_error DEBUG Thread error caught: [(<class 'AssertionError'>, AssertionError('in user code:\n\n C:\\Users\\Registrar\\MiniConda3\\envs\\faceswap\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\training.py:1462 predict_function *\n return step_function(self, iterator)\n C:\\Users\\Registrar\\MiniConda3\\envs\\faceswap\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\training.py:1452 step_function **\n outputs = model.distribute_strategy.run(run_step, args=(data,))\n C:\\Users\\Registrar\\MiniConda3\\envs\\faceswap\\lib\\site-packages\\tensorflow\\python\\distribute\\distribute_lib.py:1211 run\n return self._extended.call_for_each_replica(fn, args=args, kwargs=kwargs)\n C:\\Users\\Registrar\\MiniConda3\\envs\\faceswap\\lib\\site-packages\\tensorflow\\python\\distribute\\distribute_lib.py:2585 call_for_each_replica\n return self._call_for_each_replica(fn, args, kwargs)\n C:\\Users\\Registrar\\MiniConda3\\envs\\faceswap\\lib\\site-packages\\tensorflow\\python\\distribute\\distribute_lib.py:2945 _call_for_each_replica\n return fn(*args, **kwargs)\n C:\\Users\\Registrar\\MiniConda3\\envs\\faceswap\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\training.py:1445 run_step **\n outputs = model.predict_step(data)\n C:\\Users\\Registrar\\MiniConda3\\envs\\faceswap\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\training.py:1418 predict_step\n return self(x, training=False)\n C:\\Users\\Registrar\\MiniConda3\\envs\\faceswap\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\base_layer.py:985 __call__\n outputs = call_fn(inputs, *args, **kwargs)\n C:\\Users\\Registrar\\MiniConda3\\envs\\faceswap\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\functional.py:385 call\n return self._run_internal_graph(\n C:\\Users\\Registrar\\MiniConda3\\envs\\faceswap\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\functional.py:517 _run_internal_graph\n assert x_id in tensor_dict, \'Could not compute output \' + str(x)\n\n AssertionError: Could not compute output Tensor("decoder_b/face_out_b/Sigmoid:0", shape=(None, 64, 64, 3), dtype=float32)\n'), <traceback object at 0x00000169085F2640>)]
Traceback (most recent call last):
File "C:\Users\Registrar\faceswap\lib\cli\launcher.py", line 182, in execute_script
process.process()
File "C:\Users\Registrar\faceswap\scripts\convert.py", line 171, in process
self._convert_images()
File "C:\Users\Registrar\faceswap\scripts\convert.py", line 198, in _convert_images
self._check_thread_error()
File "C:\Users\Registrar\faceswap\scripts\convert.py", line 218, in _check_thread_error
thread.check_and_raise_error()
File "C:\Users\Registrar\faceswap\lib\multithreading.py", line 84, in check_and_raise_error
raise error[1].with_traceback(error[2])
File "C:\Users\Registrar\faceswap\lib\multithreading.py", line 37, in run
self._target(*self._args, **self._kwargs)
File "C:\Users\Registrar\faceswap\scripts\convert.py", line 885, in _predict_faces
predicted = self._predict(feed_faces, batch_size)
File "C:\Users\Registrar\faceswap\scripts\convert.py", line 982, in _predict
predicted = self._model.model.predict(feed, batch_size=batch_size)
File "C:\Users\Registrar\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py", line 130, in _method_wrapper
return method(self, *args, **kwargs)
File "C:\Users\Registrar\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py", line 1599, in predict
tmp_batch_outputs = predict_function(iterator)
File "C:\Users\Registrar\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\eager\def_function.py", line 780, in __call__
result = self._call(*args, **kwds)
File "C:\Users\Registrar\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\eager\def_function.py", line 823, in _call
self._initialize(args, kwds, add_initializers_to=initializers)
File "C:\Users\Registrar\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\eager\def_function.py", line 696, in _initialize
self._stateful_fn._get_concrete_function_internal_garbage_collected( # pylint: disable=protected-access
File "C:\Users\Registrar\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\eager\function.py", line 2855, in _get_concrete_function_internal_garbage_collected
graph_function, _, _ = self._maybe_define_function(args, kwargs)
File "C:\Users\Registrar\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\eager\function.py", line 3213, in _maybe_define_function
graph_function = self._create_graph_function(args, kwargs)
File "C:\Users\Registrar\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\eager\function.py", line 3065, in _create_graph_function
func_graph_module.func_graph_from_py_func(
File "C:\Users\Registrar\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\framework\func_graph.py", line 986, in func_graph_from_py_func
func_outputs = python_func(*func_args, **func_kwargs)
File "C:\Users\Registrar\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\eager\def_function.py", line 600, in wrapped_fn
return weak_wrapped_fn().__wrapped__(*args, **kwds)
File "C:\Users\Registrar\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\framework\func_graph.py", line 973, in wrapper
raise e.ag_error_metadata.to_exception(e)
AssertionError: in user code:
C:\Users\Registrar\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py:1462 predict_function *
return step_function(self, iterator)
C:\Users\Registrar\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py:1452 step_function **
outputs = model.distribute_strategy.run(run_step, args=(data,))
C:\Users\Registrar\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\distribute\distribute_lib.py:1211 run
return self._extended.call_for_each_replica(fn, args=args, kwargs=kwargs)
C:\Users\Registrar\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\distribute\distribute_lib.py:2585 call_for_each_replica
return self._call_for_each_replica(fn, args, kwargs)
C:\Users\Registrar\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\distribute\distribute_lib.py:2945 _call_for_each_replica
return fn(*args, **kwargs)
C:\Users\Registrar\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py:1445 run_step **
outputs = model.predict_step(data)
C:\Users\Registrar\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py:1418 predict_step
return self(x, training=False)
C:\Users\Registrar\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\base_layer.py:985 __call__
outputs = call_fn(inputs, *args, **kwargs)
C:\Users\Registrar\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\functional.py:385 call
return self._run_internal_graph(
C:\Users\Registrar\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\functional.py:517 _run_internal_graph
assert x_id in tensor_dict, 'Could not compute output ' + str(x)
AssertionError: Could not compute output Tensor("decoder_b/face_out_b/Sigmoid:0", shape=(None, 64, 64, 3), dtype=float32)
============ System Information ============
encoding: cp1252
git_branch: master
git_commits: 860ccb9 Suppress Tensorflow stderr custom error messages
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_devices_active:
gpu_driver: No Nvidia driver found
gpu_vram:
os_machine: AMD64
os_platform: Windows-10-10.0.19042-SP0
os_release: 10
py_command: C:\Users\Registrar\faceswap\faceswap.py convert -i C:/Users/Registrar/Music/Eya/Video thangs/Spaghetti/Boil/final_61646532e93e0200364f78b6_244604.mp4 -o C:/Users/Registrar/Music/1 -m C:/Users/Registrar/Music/Eya/Video thangs/Model AB/original_logs -c match-hist -M extended -w gif -osc 25 -l 0.4 -j 0 -t original -otf -sp -L INFO -gui
py_conda_version: conda 4.10.3
py_implementation: CPython
py_version: 3.8.11
py_virtual_env: True
sys_cores: 4
sys_processor: Intel64 Family 6 Model 158 Stepping 9, GenuineIntel
sys_ram: Total: 3982MB, Available: 597MB, Used: 3384MB, Free: 597MB
=============== Pip Packages ===============
absl-py @ file:///C:/ci/absl-py_1623867339542/work
aiohttp @ file:///C:/ci/aiohttp_1614361024229/work
astor==0.8.1
astunparse==1.6.3
async-timeout==3.0.1
attrs @ file:///tmp/build/80754af9/attrs_1620827162558/work
blinker==1.4
brotlipy==0.7.0
cachetools @ file:///tmp/build/80754af9/cachetools_1619597386817/work
certifi==2021.5.30
cffi @ file:///C:/ci/cffi_1625831749120/work
chardet @ file:///C:/ci/chardet_1605303225733/work
charset-normalizer @ file:///tmp/build/80754af9/charset-normalizer_1630003229654/work
click @ file:///tmp/build/80754af9/click_1621604852318/work
coverage @ file:///C:/ci/coverage_1614615074147/work
cryptography @ file:///C:/ci/cryptography_1616769344312/work
cycler==0.10.0
Cython @ file:///C:/ci/cython_1626257071357/work
fastcluster==1.1.26
ffmpy==0.2.3
gast @ file:///Users/ktietz/demo/mc3/conda-bld/gast_1628588903283/work
google-auth @ file:///tmp/build/80754af9/google-auth_1626320605116/work
google-auth-oauthlib @ file:///tmp/build/80754af9/google-auth-oauthlib_1617120569401/work
google-pasta @ file:///Users/ktietz/demo/mc3/conda-bld/google-pasta_1630577991354/work
grpcio @ file:///C:/ci/grpcio_1614884412260/work
h5py==2.10.0
idna @ file:///tmp/build/80754af9/idna_1622654382723/work
imageio @ file:///tmp/build/80754af9/imageio_1617700267927/work
imageio-ffmpeg==0.4.5
importlib-metadata @ file:///C:/ci/importlib-metadata_1631916848487/work
joblib @ file:///tmp/build/80754af9/joblib_1613502643832/work
Keras-Applications @ file:///tmp/build/80754af9/keras-applications_1594366238411/work
Keras-Preprocessing @ file:///tmp/build/80754af9/keras-preprocessing_1612283640596/work
kiwisolver @ file:///C:/ci/kiwisolver_1612282606037/work
Markdown @ file:///C:/ci/markdown_1614364121613/work
matplotlib @ file:///C:/ci/matplotlib-base_1592837548929/work
mkl-fft==1.3.0
mkl-random==1.1.1
mkl-service==2.3.0
multidict @ file:///C:/ci/multidict_1607362065515/work
numpy @ file:///C:/ci/numpy_and_numpy_base_1603466732592/work
nvidia-ml-py==11.470.66
oauthlib @ file:///tmp/build/80754af9/oauthlib_1623060228408/work
olefile @ file:///Users/ktietz/demo/mc3/conda-bld/olefile_1629805411829/work
opencv-python==4.5.3.56
opt-einsum @ file:///tmp/build/80754af9/opt_einsum_1621500238896/work
Pillow @ file:///C:/ci/pillow_1625663293593/work
protobuf==3.17.2
psutil @ file:///C:/ci/psutil_1612298324802/work
pyasn1 @ file:///Users/ktietz/demo/mc3/conda-bld/pyasn1_1629708007385/work
pyasn1-modules==0.2.8
pycparser @ file:///tmp/build/80754af9/pycparser_1594388511720/work
PyJWT @ file:///C:/ci/pyjwt_1619651841937/work
pyOpenSSL @ file:///tmp/build/80754af9/pyopenssl_1608057966937/work
pyparsing @ file:///home/linux1/recipes/ci/pyparsing_1610983426697/work
pyreadline==2.1
PySocks @ file:///C:/ci/pysocks_1605287845585/work
python-dateutil @ file:///tmp/build/80754af9/python-dateutil_1626374649649/work
pywin32==228
requests @ file:///tmp/build/80754af9/requests_1629994808627/work
requests-oauthlib==1.3.0
rsa @ file:///tmp/build/80754af9/rsa_1614366226499/work
scikit-learn @ file:///C:/ci/scikit-learn_1622739500535/work
scipy @ file:///C:/ci/scipy_1616703433439/work
sip==4.19.13
six @ file:///tmp/build/80754af9/six_1623709665295/work
tensorboard @ file:///home/builder/ktietz/aggregate/tensorflow_recipes/ci_te/tensorboard_1614593728657/work/tmp_pip_dir
tensorboard-plugin-wit==1.6.0
tensorflow==2.3.0
tensorflow-estimator @ file:///home/builder/adipietro/tf/tensorflow-estimator_1630508970172/work/tensorflow_estimator-2.6.0-py2.py3-none-any.whl
termcolor==1.1.0
threadpoolctl @ file:///Users/ktietz/demo/mc3/conda-bld/threadpoolctl_1629802263681/work
tornado @ file:///C:/ci/tornado_1606942392901/work
tqdm @ file:///tmp/build/80754af9/tqdm_1631818572807/work
typing-extensions @ file:///tmp/build/80754af9/typing_extensions_1631814937681/work
urllib3 @ file:///tmp/build/80754af9/urllib3_1625084269274/work
Werkzeug @ file:///tmp/build/80754af9/werkzeug_1631818832573/work
win-inet-pton @ file:///C:/ci/win_inet_pton_1605306167264/work
wincertstore==0.2
wrapt==1.12.1
yarl @ file:///C:/ci/yarl_1606940076464/work
zipp @ file:///tmp/build/80754af9/zipp_1625570634446/work
============== Conda Packages ==============
# packages in environment at C:\Users\Registrar\MiniConda3\envs\faceswap:
#
# Name Version Build Channel
_tflow_select 2.3.0 eigen
absl-py 0.13.0 py38haa95532_0
aiohttp 3.7.4 py38h2bbff1b_1
astor 0.8.1 py38haa95532_0
astunparse 1.6.3 py_0
async-timeout 3.0.1 py38haa95532_0
attrs 21.2.0 pyhd3eb1b0_0
blas 1.0 mkl
blinker 1.4 py38haa95532_0
brotlipy 0.7.0 py38h2bbff1b_1003
ca-certificates 2021.7.5 haa95532_1
cachetools 4.2.2 pyhd3eb1b0_0
certifi 2021.5.30 py38haa95532_0
cffi 1.14.6 py38h2bbff1b_0
chardet 3.0.4 py38haa95532_1003
charset-normalizer 2.0.4 pyhd3eb1b0_0
click 8.0.1 pyhd3eb1b0_0
coverage 5.5 py38h2bbff1b_2
cryptography 3.4.7 py38h71e12ea_0
cycler 0.10.0 py38_0
cython 0.29.24 py38hd77b12b_0
dataclasses 0.8 pyh6d0b6a4_7
fastcluster 1.1.26 py38h251f6bf_2 conda-forge
ffmpy 0.2.3 pypi_0 pypi
freetype 2.10.4 hd328e21_0
gast 0.4.0 pyhd3eb1b0_0
git 2.32.0 haa95532_1
google-auth 1.33.0 pyhd3eb1b0_0
google-auth-oauthlib 0.4.4 pyhd3eb1b0_0
google-pasta 0.2.0 pyhd3eb1b0_0
grpcio 1.36.1 py38hc60d5dd_1
h5py 2.10.0 py38h5e291fa_0
hdf5 1.10.4 h7ebc959_0
icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha925a31_3
idna 3.2 pyhd3eb1b0_0
imageio 2.9.0 pyhd3eb1b0_0
imageio-ffmpeg 0.4.5 pypi_0 pypi
importlib-metadata 4.8.1 py38haa95532_0
intel-openmp 2021.3.0 haa95532_3372
joblib 1.0.1 pyhd3eb1b0_0
jpeg 9d h2bbff1b_0
keras-applications 1.0.8 py_1
keras-preprocessing 1.1.2 pyhd3eb1b0_0
kiwisolver 1.3.1 py38hd77b12b_0
libpng 1.6.37 h2a8f88b_0
libprotobuf 3.17.2 h23ce68f_1
libtiff 4.2.0 hd0e1b90_0
lz4-c 1.9.3 h2bbff1b_1
markdown 3.3.4 py38haa95532_0
matplotlib 3.2.2 0
matplotlib-base 3.2.2 py38h64f37c6_0
mkl 2020.2 256
mkl-service 2.3.0 py38h196d8e1_0
mkl_fft 1.3.0 py38h46781fe_0
mkl_random 1.1.1 py38h47e9c7a_0
multidict 5.1.0 py38h2bbff1b_2
numpy 1.19.2 py38hadc3359_0
numpy-base 1.19.2 py38ha3acd2a_0
nvidia-ml-py 11.470.66 pypi_0 pypi
oauthlib 3.1.1 pyhd3eb1b0_0
olefile 0.46 pyhd3eb1b0_0
opencv-python 4.5.3.56 pypi_0 pypi
openssl 1.1.1l h2bbff1b_0
opt_einsum 3.3.0 pyhd3eb1b0_1
pillow 8.3.1 py38h4fa10fc_0
pip 21.0.1 py38haa95532_0
protobuf 3.17.2 py38hd77b12b_0
psutil 5.8.0 py38h2bbff1b_1
pyasn1 0.4.8 pyhd3eb1b0_0
pyasn1-modules 0.2.8 py_0
pycparser 2.20 py_2
pyjwt 2.1.0 py38haa95532_0
pyopenssl 20.0.1 pyhd3eb1b0_1
pyparsing 2.4.7 pyhd3eb1b0_0
pyqt 5.9.2 py38ha925a31_4
pyreadline 2.1 py38_1
pysocks 1.7.1 py38haa95532_0
python 3.8.11 h6244533_1
python-dateutil 2.8.2 pyhd3eb1b0_0
python_abi 3.8 2_cp38 conda-forge
pywin32 228 py38hbaba5e8_1
qt 5.9.7 vc14h73c81de_0
requests 2.26.0 pyhd3eb1b0_0
requests-oauthlib 1.3.0 py_0
rsa 4.7.2 pyhd3eb1b0_1
scikit-learn 0.24.2 py38hf11a4ad_1
scipy 1.6.2 py38h14eb087_0
setuptools 58.0.4 py38haa95532_0
sip 4.19.13 py38ha925a31_0
six 1.16.0 pyhd3eb1b0_0
sqlite 3.36.0 h2bbff1b_0
tensorboard 2.4.0 pyhc547734_0
tensorboard-plugin-wit 1.6.0 py_0
tensorflow 2.3.0 mkl_py38h8c0d9a2_0
tensorflow-base 2.3.0 eigen_py38h75a453f_0
tensorflow-estimator 2.6.0 pyh7b7c402_0
termcolor 1.1.0 py38haa95532_1
threadpoolctl 2.2.0 pyh0d69192_0
tk 8.6.10 he774522_0
tornado 6.1 py38h2bbff1b_0
tqdm 4.62.2 pyhd3eb1b0_1
typing-extensions 3.10.0.2 hd3eb1b0_0
typing_extensions 3.10.0.2 pyh06a4308_0
urllib3 1.26.6 pyhd3eb1b0_1
vc 14.2 h21ff451_1
vs2015_runtime 14.27.29016 h5e58377_2
werkzeug 2.0.1 pyhd3eb1b0_0
wheel 0.37.0 pyhd3eb1b0_1
win_inet_pton 1.1.0 py38haa95532_0
wincertstore 0.2 py38_0
wrapt 1.12.1 py38he774522_1
xz 5.2.5 h62dcd97_0
yarl 1.6.3 py38h2bbff1b_0
zipp 3.5.0 pyhd3eb1b0_0
zlib 1.2.11 h62dcd97_4
zstd 1.4.9 h19a0ad4_0
================= 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.box_blend]
type: gaussian
distance: 11.0
radius: 5.0
passes: 1
[mask.mask_blend]
type: normalized
kernel_size: 3
passes: 4
threshold: 4
erosion: 0.0
[scaling.sharpen]
method: none
amount: 150
radius: 0.3
threshold: 5.0
[writer.ffmpeg]
container: mp4
codec: libx264
crf: 23
preset: medium
tune: none
profile: auto
level: auto
skip_mux: False
[writer.gif]
fps: 25
loop: 0
palettesize: 256
subrectangles: False
[writer.opencv]
format: png
draw_transparent: False
jpg_quality: 75
png_compress_level: 3
[writer.pillow]
format: png
draw_transparent: False
optimize: False
gif_interlace: True
jpg_quality: 75
png_compress_level: 3
tif_compression: tiff_deflate
--------- extract.ini ---------
[global]
allow_growth: False
[align.fan]
batch-size: 12
[detect.cv2_dnn]
confidence: 50
[detect.mtcnn]
minsize: 20
scalefactor: 0.709
batch-size: 8
threshold_1: 0.6
threshold_2: 0.7
threshold_3: 0.7
[detect.s3fd]
confidence: 70
batch-size: 4
[mask.bisenet_fp]
batch-size: 8
include_ears: False
include_hair: False
include_glasses: True
[mask.unet_dfl]
batch-size: 8
[mask.vgg_clear]
batch-size: 6
[mask.vgg_obstructed]
batch-size: 2
--------- gui.ini ---------
[global]
fullscreen: False
tab: extract
options_panel_width: 30
console_panel_height: 20
icon_size: 14
font: default
font_size: 9
autosave_last_session: prompt
timeout: 120
auto_load_model_stats: True
--------- train.ini ---------
[global]
centering: face
coverage: 87.5
icnr_init: False
conv_aware_init: False
optimizer: adam
learning_rate: 5e-05
epsilon_exponent: -7
reflect_padding: False
allow_growth: False
mixed_precision: False
nan_protection: True
convert_batchsize: 16
[global.loss]
loss_function: ssim
mask_loss_function: mse
l2_reg_term: 100
eye_multiplier: 3
mouth_multiplier: 2
penalized_mask_loss: True
mask_type: extended
mask_blur_kernel: 3
mask_threshold: 4
learn_mask: False
[model.dfaker]
output_size: 128
[model.dfl_h128]
lowmem: False
[model.dfl_sae]
input_size: 128
clipnorm: True
architecture: df
autoencoder_dims: 0
encoder_dims: 42
decoder_dims: 21
multiscale_decoder: False
[model.dlight]
features: best
details: good
output_size: 256
[model.original]
lowmem: False
[model.phaze_a]
output_size: 128
shared_fc: none
enable_gblock: True
split_fc: True
split_gblock: False
split_decoders: False
enc_architecture: fs_original
enc_scaling: 40
enc_load_weights: True
bottleneck_type: dense
bottleneck_norm: none
bottleneck_size: 1024
bottleneck_in_encoder: True
fc_depth: 1
fc_min_filters: 1024
fc_max_filters: 1024
fc_dimensions: 4
fc_filter_slope: -0.5
fc_dropout: 0.0
fc_upsampler: upsample2d
fc_upsamples: 1
fc_upsample_filters: 512
fc_gblock_depth: 3
fc_gblock_min_nodes: 512
fc_gblock_max_nodes: 512
fc_gblock_filter_slope: -0.5
fc_gblock_dropout: 0.0
dec_upscale_method: subpixel
dec_norm: none
dec_min_filters: 64
dec_max_filters: 512
dec_filter_slope: -0.45
dec_res_blocks: 1
dec_output_kernel: 5
dec_gaussian: True
dec_skip_last_residual: True
freeze_layers: keras_encoder
load_layers: encoder
fs_original_depth: 4
fs_original_min_filters: 128
fs_original_max_filters: 1024
mobilenet_width: 1.0
mobilenet_depth: 1
mobilenet_dropout: 0.001
[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
color_lightness: 30
color_ab: 8
color_clahe_chance: 50
color_clahe_max_size: 4