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8bf9170577
* Mark as NEXT * Reduce caching to avoid RAM explosion * Reduce caching to avoid RAM explosion * Update dependencies * add face-detector-pad-factor * update facefusion.ini * fix test * change pad to margin * fix order * add prepare margin * use 50% max margin * Minor fixes part2 * Minor fixes part3 * Minor fixes part4 * Minor fixes part1 * Downgrade onnxruntime as of BiRefNet broken on CPU add test update update facefusion.ini add birefnet * rename models add more models * Fix versions * Add .claude to gitignore * add normalize color add 4 channel add colors * worflows * cleanup * cleanup * cleanup * cleanup * add more models (#961) * Fix naming * changes * Fix style and mock Gradio * Fix style and mock Gradio * Fix style and mock Gradio * apply clamp * remove clamp * Add normalizer test * Introduce sanitizer for the rescue (#963) * Introduce sanitizer for the rescue * Introduce sanitizer for the rescue * Introduce sanitizer for the rescue * prepare ffmpeg for alpha support * Some cleanup * Some cleanup * Fix CI * List as TypeAlias is not allowed (#967) * List as TypeAlias is not allowed * List as TypeAlias is not allowed * List as TypeAlias is not allowed * List as TypeAlias is not allowed * Add mpeg and mxf support (#968) * Add mpeg support * Add mxf support * Adjust fix_xxx_encoder for the new formats * Extend output pattern for batch-run (#969) * Extend output pattern for batch-run * Add {target_extension} to allowed mixed files * Catch invalid output pattern keys * alpha support * cleanup * cleanup * add ProcessorOutputs type * fix preview and streamer, support alpha for background_remover * Refactor/open close processors (#972) * Introduce open/close processors * Add locales for translator * Introduce __autoload__ for translator * More cleanup * Fix import issues * Resolve the scope situation for locals * Fix installer by not using translator * Fixes after merge * Fixes after merge * Fix translator keys in ui * Use LOCALS in installer * Update and partial fix DirectML * Use latest onnxruntime * Fix performance * Fix lint issues * fix mask * fix lint * fix lint * Remove default from translator.get() * remove 'framerate=' * fix test * Rename and reorder models * Align naming * add alpha preview * fix frame-by-frame * Add alpha effect via css * preview support alpha channel * fix preview modes * Use official assets repositories * Add support for u2net_cloth * fix naming * Add more models * Add vendor, license and year direct to the models * Add vendor, license and year direct to the models * Update dependencies, Minor CSS adjustment * Ready for 3.5.0 * Fix naming * Update about messages * Fix return * Use groups to show/hide * Update preview * Conditional merge mask * Conditional merge mask * Fix import order --------- Co-authored-by: harisreedhar <h4harisreedhar.s.s@gmail.com> Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com>
45 lines
1.2 KiB
Python
45 lines
1.2 KiB
Python
import importlib
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from types import ModuleType
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from typing import Any, List
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from facefusion import logger, translator
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from facefusion.exit_helper import hard_exit
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PROCESSORS_METHODS =\
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[
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'get_inference_pool',
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'clear_inference_pool',
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'register_args',
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'apply_args',
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'pre_check',
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'pre_process',
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'post_process',
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'process_frame'
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]
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def load_processor_module(processor : str) -> Any:
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try:
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processor_module = importlib.import_module('facefusion.processors.modules.' + processor + '.core')
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for method_name in PROCESSORS_METHODS:
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if not hasattr(processor_module, method_name):
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raise NotImplementedError
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except ModuleNotFoundError as exception:
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logger.error(translator.get('processor_not_loaded').format(processor = processor), __name__)
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logger.debug(exception.msg, __name__)
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hard_exit(1)
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except NotImplementedError:
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logger.error(translator.get('processor_not_implemented').format(processor = processor), __name__)
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hard_exit(1)
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return processor_module
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def get_processors_modules(processors : List[str]) -> List[ModuleType]:
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processor_modules = []
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for processor in processors:
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processor_module = load_processor_module(processor)
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processor_modules.append(processor_module)
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return processor_modules
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