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
39 lines
999 B
Python
39 lines
999 B
Python
#!/usr/bin/env python3
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""" Installs any required third party libs for faceswap.py
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Checks for installed Conda / Pip packages and updates accordingly
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"""
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import logging
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import os
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import sys
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from lib.logger import log_setup
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from lib.utils import get_module_objects
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from setup import Environment, Install
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logger = logging.getLogger(__name__)
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def main(is_gui=False) -> None:
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""" Check for and update dependencies
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Parameters
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----------
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is_gui: bool, optional
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``True`` if being called by the GUI. Prevents the updater from outputting progress bars
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which get scrambled in the GUI
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"""
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logger.info("Updating dependencies...")
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update = Environment(updater=True)
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Install(update, is_gui=is_gui)
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logger.info("Dependencies updated")
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if __name__ == "__main__":
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logfile = os.path.join(os.path.dirname(os.path.realpath(sys.argv[0])), "faceswap_update.log")
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log_setup("INFO", logfile, "setup")
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main()
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__all__ = get_module_objects(__name__)
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