Critical error whenever I try to convert - Could not compute output Tensor

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RandomMann
Posts: 1
Joined: Mon Oct 11, 2021 5:07 pm

Critical error whenever I try to convert - Could not compute output Tensor

Post by RandomMann »

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
User avatar
torzdf
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Re: Critical error whenever I try to convert - Could not compute output Tensor

Post by torzdf »

I have not seen this before, however, a couple of things...

1) This is not your model folder C:/Users/Registrar/Music/Eya/Video thangs/Model AB/original_logs it's your logs folder. Your model folder is C:/Users/Registrar/Music/Eya/Video thangs/Model AB

2) I notice no GPU is detected. Are you attempting to convert on a different machine than you trained on? If so, this should be ok (as long as you are not switching AMD<>Nvidia), but the TF versions on both machines must be identical.

My word is final

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