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837bc2d51d
* FaceSwap 3 (#1515) * Update extract pipeline * Update requirements + setup for nvidia * Remove allow-growth option * tf.keras to keras updates * lib.model.losses - Port + fix all loss functions for Keras3 * lib.model - port initializers, layers. normalization to Keras3 * lib.model.autoclip to Keras 3 * Update mixed precision layer storage * model file to .keras format * Restructure nn_blocks to initialize layers in __init__ * Tensorboard - Trainer: Add Torch compatible Tensorboard callbacks - GUI event reader remove TF dependency * Loss logging - Flush TB logs on save - Replace TB live iterator for GUI * Backup models on total loss drop rather than per side * Update all models to Keras3 Compat * Remove lib.model.session * Update clip ViT to Keras 3 * plugins.extract.mask.unet-dfl - Fix for Keras3/Torch backend * Port AdaBelief to Keras 3 * setup.py: - Add --dev flag for dev tool install * Fix Keras 3 syntax * Fix LR Finder for Keras 3 * Fix mixed precision switching for Keras 3 * Add more optimizers + open up config setting * train: Remove updating FS1 weights to FS2 models * Alignments: Remove support for legacy .json files * tools.model: - Remove TF Saved Format saving - Fix Backup/Restore + Nan-Scan * Fix inference model creation for Keras 3 * Preview tool: Fix for Keras3 * setup.py: Configure keras backend * train: Migration of FS2 models to FS3 * Training: Default coverage to 100% * Remove DirectML backend * Update setup for MacOS * GUI: Force line reading to UTF-8 * Remove redundant Tensorflow references * Remove redundant code * Legacy model loading: Fix TFLamdaOp scalar ops and DepthwiseConv2D * Add vertical offset option for training * Github actions: Add more python versions * Add python version to workflow names * Github workflow: Exclude Python 3.12 for macOS * Implement custom training loop * Fs3 - Add RTX5xxx and ROCm 6.1-6.4 support (#1511) * setup.py: Add Cuda/ROCm version select options * bump minimum python version to 3.11 * Switch from setup.cgf to pyproject.toml * Documentation: Update all docs to use automodapi * Allow sysinfo to run with missing packages + correctly install tk under Linux * Bugfix: dot naming convention in clip models * lib.config: Centralise globally rather than passing as object - Add torch DataParallel for multi-gpu training - GUI: Group switches together when generating cli args - CLI: Remove deprecated multi-character argparse args - Refactor: - Centralise tensorboard reading/writing + unit tests - Create trainer plugin interfaces + add original + distributed * Update installers
168 lines
6.0 KiB
Python
Executable File
168 lines
6.0 KiB
Python
Executable File
#!/usr/bin/env python3
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""" The default options for the faceswap patch Writer plugin.
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Defaults files should be named `<plugin_name>_defaults.py`
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Any qualifying items placed into this file will automatically get added to the relevant config
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.ini files within the faceswap/config folder and added to the relevant GUI settings page.
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The following variable should be defined:
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Parameters
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----------
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HELPTEXT: str
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A string describing what this plugin does
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Further plugin configuration options are assigned using:
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>>> <config_item> = ConfigItem(...)
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where <config_item> is the name of the configuration option to be added (lower-case, alpha-numeric
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+ underscore only) and ConfigItem(...) is the [`~lib.config.objects.ConfigItem`] data for the
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option.
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See the docstring/ReadtheDocs documentation required parameters for the ConfigItem object.
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Items will be grouped together as per their `group` parameter, but otherwise will be processed in
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the order that they are added to this module.
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from lib.config import ConfigItem
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"""
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from lib.config import ConfigItem
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HELPTEXT = (
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"Options for outputting the raw converted face patches from faceswap\n"
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"The raw face patches are output along with the transformation matrix, per face, to "
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"transform the face back into the original frame in external tools"
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)
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start_index = ConfigItem(
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default="0",
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info="The starting frame number for the first output frame.",
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datatype=str,
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choices=["0", "1"],
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group="file_naming",
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gui_radio=True)
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index_offset = ConfigItem(
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default=0,
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datatype=int,
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group="file_naming",
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info="How much to offset the frame numbering by.",
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rounding=1,
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min_max=(0, 1000))
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number_padding = ConfigItem(
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datatype=int,
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default=6,
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group="file_naming",
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info="Length to pad the frame numbers by.",
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rounding=6,
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min_max=(0, 10))
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include_filename = ConfigItem(
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datatype=bool,
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default=True,
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group="file_naming",
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info="Prefix the filename of the original frame to each face patch's output filename.")
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face_index_location = ConfigItem(
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datatype=str,
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default="before",
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group="file_naming",
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info="For frames that contain multiple faces, where the face index should appear in "
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"the filename:"
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"\n\t before: places the face index before the frame number."
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"\n\t after: places the face index after the frame number.",
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choices=["before", "after"],
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gui_radio=True)
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origin = ConfigItem(
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datatype=str,
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default="bottom-left",
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group="output",
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info="The origin (0, 0) location of the software that patches will be imported into. "
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"This impacts the transformation matrix that is supplied with the image patch. "
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"Setting the correct origin here will make importing into the external tool "
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"simpler."
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"\n\t top-left: The origin (0, 0) of the external canvas is at the top left "
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"corner."
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"\n\t bottom-left: The origin (0, 0) of the external canvas is at the bottom "
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"left corner."
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"\n\t top-right: The origin (0, 0) of the external canvas is at the top right "
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"corner."
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"\n\t bottom-right: The origin (0, 0) of the external canvas is at the bottom "
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"right corner.",
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choices=["top-left", "bottom-left", "top-right", "bottom-right"],
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gui_radio=True)
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empty_frames = ConfigItem(
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datatype=str,
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group="output",
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default="blank",
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info="How to handle the output of frames without faces:"
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"\n\t skip: skips any frames that do not have a face within it. This will lead to "
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"gaps within the final image sequence."
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"\n\t blank: outputs a blank (empty) face patch for any frames without faces. "
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"There will be no gaps within the final image sequence, as those gaps will be "
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"padded with empty face patches",
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choices=["skip", "blank"],
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gui_radio=True)
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json_output = ConfigItem(
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datatype=bool,
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default=False,
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group="output",
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info="The transformation matrix, and other associated metadata, is output within the "
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"face images EXIF fields. Some external tools can read this data, others cannot."
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"enable this option to output a json file which contains this same metadata "
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"mapped to each output face patch's filename.")
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separate_mask = ConfigItem(
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datatype=bool,
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default=False,
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group="output",
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info="Seperate the mask into its own single channel patch. If enabled, the RGB image "
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"will be saved into the selected output folder whilst the masks will be saved "
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"into a sub-folder named `masks`. If not enabled then the mask will be included "
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"in the alpha-channel of the RGBA output.")
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bit_depth = ConfigItem(
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datatype=str,
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default="16",
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group="format",
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info="The bit-depth for the output images:"
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"\n\t 8: 8-bit unsigned - Supported by all formats."
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"\n\t 16: 16-bit unsigned - Supported by all formats."
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"\n\t 32: 32-bit float - Supported by Tiff only.",
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choices=["8", "16", "32"],
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gui_radio=True)
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format = ConfigItem( # pylint:disable=redefined-builtin
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datatype=str,
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default="png",
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group="format",
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info="File format to save as."
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"\n\t png: PNG file format. Transformation matrix is written to the custom iTxt "
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"header field 'faceswap'"
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"\n\t tiff: TIFF file format. Transformation matrix is written to the "
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"'image_description' header field",
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choices=["png", "tiff"],
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gui_radio=True)
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png_compress_level = ConfigItem(
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datatype=int,
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default=3,
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group="format",
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info="ZLIB compression level, 1 gives best speed, 9 gives best compression, 0 gives no "
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"compression at all.",
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rounding=1,
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min_max=(0, 9))
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tiff_compression_method = ConfigItem(
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datatype=str,
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default="lzw",
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group="format",
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info="The compression method to use for Tiff files. Note: For 32bit output, SGILOG "
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"compression will always be used regardless of what is selected here.",
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choices=["none", "lzw", "deflate"],
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gui_radio=True)
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