mirror of
https://github.com/zebrajr/faceswap.git
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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
49 lines
1.5 KiB
Python
Executable File
49 lines
1.5 KiB
Python
Executable File
#!/usr/bin/env python3
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""" The master tools.py script """
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import gettext
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import os
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import sys
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from importlib import import_module
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# Importing the various tools
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from lib.cli.args import FullHelpArgumentParser
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# LOCALES
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_LANG = gettext.translation("tools", localedir="locales", fallback=True)
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_ = _LANG.gettext
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# Python version check
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if sys.version_info < (3, 11):
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raise ValueError("This program requires at least python 3.11")
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def bad_args(*args): # pylint:disable=unused-argument
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""" Print help on bad arguments """
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PARSER.print_help()
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sys.exit(0)
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def _get_cli_opts():
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""" Optain the subparsers and cli options for available tools """
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base_path = os.path.realpath(os.path.dirname(sys.argv[0]))
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tools_dir = os.path.join(base_path, "tools")
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for tool_name in sorted(os.listdir(tools_dir)):
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cli_file = os.path.join(tools_dir, tool_name, "cli.py")
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if os.path.exists(cli_file):
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mod = ".".join(("tools", tool_name, "cli"))
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module = import_module(mod)
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cliarg_class = getattr(module, f"{tool_name.title()}Args")
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help_text = getattr(module, "_HELPTEXT")
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yield tool_name, help_text, cliarg_class
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if __name__ == "__main__":
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PARSER = FullHelpArgumentParser()
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SUBPARSER = PARSER.add_subparsers()
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for tool, helptext, cli_args in _get_cli_opts():
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cli_args(SUBPARSER, tool, helptext)
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PARSER.set_defaults(func=bad_args)
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ARGUMENTS = PARSER.parse_args()
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ARGUMENTS.func(ARGUMENTS)
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