mirror of
https://github.com/facefusion/facefusion.git
synced 2026-07-28 21:08:54 +02:00
Henry RuhsandGitHub
aba04180ed
* remove todo * sort out workflow, to match upcoming v4 * remove look ahead * remove core namespace again
61 lines
2.8 KiB
Python
61 lines
2.8 KiB
Python
from facefusion import content_analyser, ffmpeg, logger, process_manager, state_manager, translator
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from facefusion.filesystem import is_image
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from facefusion.processors.core import get_processors_modules
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from facefusion.temp_helper import get_temp_file_path
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from facefusion.time_helper import calculate_end_time
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from facefusion.types import ErrorCode
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from facefusion.vision import detect_image_resolution, pack_resolution, read_static_image, restrict_image_resolution, scale_resolution, write_image
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from facefusion.workflows.core import conditional_get_target_vision_frames, is_process_stopping, process_temp_frame
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def analyse_image() -> ErrorCode:
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if content_analyser.analyse_image(state_manager.get_item('target_path')):
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return 3
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return 0
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def prepare_image() -> ErrorCode:
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output_image_resolution = scale_resolution(detect_image_resolution(state_manager.get_item('target_path')), state_manager.get_item('output_image_scale'))
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temp_image_resolution = restrict_image_resolution(state_manager.get_item('target_path'), output_image_resolution)
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logger.info(translator.get('copying_image').format(resolution = pack_resolution(temp_image_resolution)), __name__)
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if ffmpeg.copy_image(state_manager.get_item('target_path'), temp_image_resolution):
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logger.debug(translator.get('copying_image_succeeded'), __name__)
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else:
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logger.error(translator.get('copying_image_failed'), __name__)
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process_manager.end()
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return 1
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return 0
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def process_image() -> ErrorCode:
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temp_image_path = get_temp_file_path(state_manager.get_item('target_path'))
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target_vision_frames = conditional_get_target_vision_frames(0)
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temp_vision_frame = read_static_image(temp_image_path, 'rgba')
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temp_vision_frame = process_temp_frame(target_vision_frames, temp_vision_frame, 0)
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write_image(temp_image_path, temp_vision_frame)
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for processor_module in get_processors_modules(state_manager.get_item('processors')):
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processor_module.post_process()
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if is_process_stopping():
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return 4
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return 0
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def finalize_image(start_time : float) -> ErrorCode:
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output_image_resolution = scale_resolution(detect_image_resolution(state_manager.get_item('target_path')), state_manager.get_item('output_image_scale'))
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logger.info(translator.get('finalizing_image').format(resolution = pack_resolution(output_image_resolution)), __name__)
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if ffmpeg.finalize_image(state_manager.get_item('target_path'), state_manager.get_item('output_path'), output_image_resolution):
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logger.debug(translator.get('finalizing_image_succeeded'), __name__)
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else:
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logger.warn(translator.get('finalizing_image_skipped'), __name__)
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if is_image(state_manager.get_item('output_path')):
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logger.info(translator.get('processing_image_succeeded').format(seconds = calculate_end_time(start_time)), __name__)
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else:
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logger.error(translator.get('processing_image_failed'), __name__)
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return 1
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return 0
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