mirror of
https://github.com/facefusion/facefusion.git
synced 2026-07-15 22:47:25 +02:00
Henry Ruhs
3a5fe2a602
* Operating system specific installer options * Update dependencies * Sorting before NMS according to the standard * Minor typing fix * Change the wording * Update preview.py (#222) Added a release listener to the preview frame slider, this will update the frame preview with the latest frame * Combine preview slider listener * Remove change listener * Introduce multi source (#223) * Implement multi source * Adjust face enhancer and face debugger to multi source * Implement multi source to UI * Implement multi source to UI part2 * Implement multi source to UI part3 * Implement multi source to UI part4 * Some cleanup * Add face occluder (#225) (#226) * Add face occluder (#225) * add face-occluder (commandline only) * review 1 * Update face_masker.py * Update face_masker.py * Add gui & fix typing * Minor naming cleanup * Minor naming cleanup part2 --------- Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com> * Update usage information * Fix averaged normed_embedding * Remove blur from face occluder, enable accelerators * Switch to RANSAC with 100 threshold * Update face_enhancer.py (#229) * Update face_debugger.py (#230) * Split utilities (#232) * Split utilities * Split utilities part2 * Split utilities part3 * Split utilities part4 * Some cleanup * Implement log level support (#233) * Implement log level support * Fix testing * Implement debug logger * Implement debug logger * Fix alignment offset (#235) * Update face_helper.py * fix 2 * Enforce virtual environment via installer * Enforce virtual environment via installer * Enforce virtual environment via installer * Enforce virtual environment via installer * Feat/multi process reference faces (#239) * Multi processing aware reference faces * First clean up and joining of files * Finalize the face store * Reduce similar face detection to one set, use __name__ for scopes in logger * Rename to face_occluder * Introduce ModelSet type * Improve webcam error handling * Prevent null pointer on is_image() and is_video() * Prevent null pointer on is_image() and is_video() * Fix find similar faces * Fix find similar faces * Fix process_images for face enhancer * Bunch of minor improvements * onnxruntime for ROCM under linux * Improve mask related naming * Fix falsy import * Fix typo * Feat/face parser refactoring (#247) * Face parser update (#244) * face-parser * Update face_masker.py * update debugger * Update globals.py * Update face_masker.py * Refactor code to split occlusion from region * fix (#246) * fix * fix debugger resolution * flip input to horizontal * Clean up UI * Reduce the regions to inside face only * Reduce the regions to inside face only --------- Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com> * Fix enhancer, remove useless dest in add_argument() * Prevent unselect of the face_mask_regions via UI * Prepare next release * Shorten arguments that have choices and nargs * Add missing clear to face debugger --------- Co-authored-by: Mathias <github@feroc.de> Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com>
56 lines
2.1 KiB
Python
56 lines
2.1 KiB
Python
from typing import Optional, Tuple
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import gradio
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import facefusion.globals
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import facefusion.choices
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from facefusion import wording
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from facefusion.typing import TempFrameFormat
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from facefusion.filesystem import is_video
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from facefusion.uis.core import get_ui_component
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TEMP_FRAME_FORMAT_DROPDOWN : Optional[gradio.Dropdown] = None
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TEMP_FRAME_QUALITY_SLIDER : Optional[gradio.Slider] = None
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def render() -> None:
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global TEMP_FRAME_FORMAT_DROPDOWN
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global TEMP_FRAME_QUALITY_SLIDER
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TEMP_FRAME_FORMAT_DROPDOWN = gradio.Dropdown(
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label = wording.get('temp_frame_format_dropdown_label'),
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choices = facefusion.choices.temp_frame_formats,
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value = facefusion.globals.temp_frame_format,
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visible = is_video(facefusion.globals.target_path)
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)
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TEMP_FRAME_QUALITY_SLIDER = gradio.Slider(
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label = wording.get('temp_frame_quality_slider_label'),
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value = facefusion.globals.temp_frame_quality,
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step = facefusion.choices.temp_frame_quality_range[1] - facefusion.choices.temp_frame_quality_range[0],
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minimum = facefusion.choices.temp_frame_quality_range[0],
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maximum = facefusion.choices.temp_frame_quality_range[-1],
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visible = is_video(facefusion.globals.target_path)
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)
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def listen() -> None:
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TEMP_FRAME_FORMAT_DROPDOWN.select(update_temp_frame_format, inputs = TEMP_FRAME_FORMAT_DROPDOWN)
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TEMP_FRAME_QUALITY_SLIDER.change(update_temp_frame_quality, inputs = TEMP_FRAME_QUALITY_SLIDER)
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target_video = get_ui_component('target_video')
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if target_video:
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for method in [ 'upload', 'change', 'clear' ]:
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getattr(target_video, method)(remote_update, outputs = [ TEMP_FRAME_FORMAT_DROPDOWN, TEMP_FRAME_QUALITY_SLIDER ])
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def remote_update() -> Tuple[gradio.Dropdown, gradio.Slider]:
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if is_video(facefusion.globals.target_path):
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return gradio.Dropdown(visible = True), gradio.Slider(visible = True)
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return gradio.Dropdown(visible = False), gradio.Slider(visible = False)
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def update_temp_frame_format(temp_frame_format : TempFrameFormat) -> None:
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facefusion.globals.temp_frame_format = temp_frame_format
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def update_temp_frame_quality(temp_frame_quality : int) -> None:
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facefusion.globals.temp_frame_quality = temp_frame_quality
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