da0da3a4b4
* Rename calcXXX to calculateXXX * Add migraphx support * Add migraphx support * Add migraphx support * Add migraphx support * Add migraphx support * Add migraphx support * Use True for the flags * Add migraphx support * add face-swapper-weight * add face-swapper-weight to facefusion.ini * changes * change choice * Fix typing for xxxWeight * Feat/log inference session (#906) * Log inference session, Introduce time helper * Log inference session, Introduce time helper * Log inference session, Introduce time helper * Log inference session, Introduce time helper * Mark as NEXT * Follow industry standard x1, x2, y1 and y2 * Follow industry standard x1, x2, y1 and y2 * Follow industry standard in terms of naming (#908) * Follow industry standard in terms of naming * Improve xxx_embedding naming * Fix norm vs. norms * Reduce timeout to 5 * Sort out voice_extractor once again * changes * Introduce many to the occlusion mask (#910) * Introduce many to the occlusion mask * Then we use minimum * Add support for wmv * Run platform tests before has_execution_provider (#911) * Add support for wmv * Introduce benchmark mode (#912) * Honestly makes no difference to me * Honestly makes no difference to me * Fix wording * Bring back YuNet (#922) * Reintroduce YuNet without cv2 dependency * Fix variable naming * Avoid RGB to YUV colorshift using libx264rgb * Avoid RGB to YUV colorshift using libx264rgb * Make libx264 the default again * Make libx264 the default again * Fix types in ffmpeg builder * Fix quality stuff in ffmpeg builder * Fix quality stuff in ffmpeg builder * Add libx264rgb to test * Revamp Processors (#923) * Introduce new concept of pure target frames * Radical refactoring of process flow * Introduce new concept of pure target frames * Fix webcam * Minor improvements * Minor improvements * Use deque for video processing * Use deque for video processing * Extend the video manager * Polish deque * Polish deque * Deque is not even used * Improve speed with multiple futures * Fix temp frame mutation and * Fix RAM usage * Remove old types and manage method * Remove execution_queue_count * Use init_state for benchmarker to avoid issues * add voice extractor option * Change the order of voice extractor in code * Use official download urls * Use official download urls * add gui * fix preview * Add remote updates for voice extractor * fix crash on headless-run * update test_job_helper.py * Fix it for good * Remove pointless method * Fix types and unused imports * Revamp reference (#925) * Initial revamp of face references * Initial revamp of face references * Initial revamp of face references * Terminate find_similar_faces * Improve find mutant faces * Improve find mutant faces * Move sort where it belongs * Forward reference vision frame * Forward reference vision frame also in preview * Fix reference selection * Use static video frame * Fix CI * Remove reference type from frame processors * Improve some naming * Fix types and unused imports * Fix find mutant faces * Fix find mutant faces * Fix imports * Correct naming * Correct naming * simplify pad * Improve webcam performance on highres * Camera manager (#932) * Introduce webcam manager * Fix order * Rename to camera manager, improve video manager * Fix CI * Remove optional * Fix naming in webcam options * Avoid using temp faces (#933) * output video scale * Fix imports * output image scale * upscale fix (not limiter) * add unit test scale_resolution & remove unused methods * fix and add test * fix * change pack_resolution * fix tests * Simplify output scale testing * Fix benchmark UI * Fix benchmark UI * Update dependencies * Introduce REAL multi gpu support using multi dimensional inference pool (#935) * Introduce REAL multi gpu support using multi dimensional inference pool * Remove the MULTI:GPU flag * Restore "processing stop" * Restore "processing stop" * Remove old templates * Go fill in with caching * add expression restorer areas * re-arrange * rename method * Fix stop for extract frames and merge video * Replace arcface_converter models with latest crossface models * Replace arcface_converter models with latest crossface models * Move module logs to debug mode * Refactor/streamer (#938) * Introduce webcam manager * Fix order * Rename to camera manager, improve video manager * Fix CI * Fix naming in webcam options * Move logic over to streamer * Fix streamer, improve webcam experience * Improve webcam experience * Revert method * Revert method * Improve webcam again * Use release on capture instead * Only forward valid frames * Fix resolution logging * Add AVIF support * Add AVIF support * Limit avif to unix systems * Drop avif * Drop avif * Drop avif * Default to Documents in the UI if output path is not set * Update wording.py (#939) "succeed" is grammatically incorrect in the given context. To succeed is the infinitive form of the verb. Correct would be either "succeeded" or alternatively a form involving the noun "success". * Fix more grammar issue * Fix more grammar issue * Sort out caching * Move webcam choices back to UI * Move preview options to own file (#940) * Fix Migraphx execution provider * Fix benchmark * Reuse blend frame method * Fix CI * Fix CI * Fix CI * Hotfix missing check in face debugger, Enable logger for preview * Fix reference selection (#942) * Fix reference selection * Fix reference selection * Fix reference selection * Fix reference selection * Side by side preview (#941) * Initial side by side preview * More work on preview, remove UI only stuff from vision.py * Improve more * Use fit frame * Add different fit methods for vision * Improve preview part2 * Improve preview part3 * Improve preview part4 * Remove none as choice * Remove useless methods * Fix CI * Fix naming * use 1024 as preview resolution default * Fix fit_cover_frame * Uniform fit_xxx_frame methods * Add back disabled logger * Use ui choices alias * Extract select face logic from processors (#943) * Extract select face logic from processors to use it for face by face in preview * Fix order * Remove old code * Merge methods * Refactor face debugger (#944) * Refactor huge method of face debugger * Remove text metrics from face debugger * Remove useless copy of temp frame * Resort methods * Fix spacing * Remove old method * Fix hard exit to work without signals * Prevent upscaling for face-by-face * Switch to version * Improve exiting --------- Co-authored-by: harisreedhar <h4harisreedhar.s.s@gmail.com> Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com> Co-authored-by: Rafael Tappe Maestro <rafael@tappemaestro.com>
86 lines
4.3 KiB
Python
86 lines
4.3 KiB
Python
from typing import Optional, Sequence, Tuple
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import gradio
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import facefusion.choices
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from facefusion import face_detector, state_manager, wording
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from facefusion.common_helper import calculate_float_step, get_last
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from facefusion.types import Angle, FaceDetectorModel, Score
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from facefusion.uis.core import register_ui_component
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from facefusion.uis.types import ComponentOptions
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FACE_DETECTOR_MODEL_DROPDOWN : Optional[gradio.Dropdown] = None
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FACE_DETECTOR_SIZE_DROPDOWN : Optional[gradio.Dropdown] = None
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FACE_DETECTOR_ANGLES_CHECKBOX_GROUP : Optional[gradio.CheckboxGroup] = None
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FACE_DETECTOR_SCORE_SLIDER : Optional[gradio.Slider] = None
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def render() -> None:
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global FACE_DETECTOR_MODEL_DROPDOWN
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global FACE_DETECTOR_SIZE_DROPDOWN
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global FACE_DETECTOR_ANGLES_CHECKBOX_GROUP
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global FACE_DETECTOR_SCORE_SLIDER
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face_detector_size_dropdown_options : ComponentOptions =\
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{
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'label': wording.get('uis.face_detector_size_dropdown'),
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'value': state_manager.get_item('face_detector_size')
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}
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if state_manager.get_item('face_detector_size') in facefusion.choices.face_detector_set[state_manager.get_item('face_detector_model')]:
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face_detector_size_dropdown_options['choices'] = facefusion.choices.face_detector_set[state_manager.get_item('face_detector_model')]
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with gradio.Row():
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FACE_DETECTOR_MODEL_DROPDOWN = gradio.Dropdown(
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label = wording.get('uis.face_detector_model_dropdown'),
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choices = facefusion.choices.face_detector_models,
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value = state_manager.get_item('face_detector_model')
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)
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FACE_DETECTOR_SIZE_DROPDOWN = gradio.Dropdown(**face_detector_size_dropdown_options)
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FACE_DETECTOR_ANGLES_CHECKBOX_GROUP = gradio.CheckboxGroup(
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label = wording.get('uis.face_detector_angles_checkbox_group'),
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choices = facefusion.choices.face_detector_angles,
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value = state_manager.get_item('face_detector_angles')
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)
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FACE_DETECTOR_SCORE_SLIDER = gradio.Slider(
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label = wording.get('uis.face_detector_score_slider'),
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value = state_manager.get_item('face_detector_score'),
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step = calculate_float_step(facefusion.choices.face_detector_score_range),
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minimum = facefusion.choices.face_detector_score_range[0],
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maximum = facefusion.choices.face_detector_score_range[-1]
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)
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register_ui_component('face_detector_model_dropdown', FACE_DETECTOR_MODEL_DROPDOWN)
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register_ui_component('face_detector_size_dropdown', FACE_DETECTOR_SIZE_DROPDOWN)
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register_ui_component('face_detector_angles_checkbox_group', FACE_DETECTOR_ANGLES_CHECKBOX_GROUP)
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register_ui_component('face_detector_score_slider', FACE_DETECTOR_SCORE_SLIDER)
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def listen() -> None:
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FACE_DETECTOR_MODEL_DROPDOWN.change(update_face_detector_model, inputs = FACE_DETECTOR_MODEL_DROPDOWN, outputs = [ FACE_DETECTOR_MODEL_DROPDOWN, FACE_DETECTOR_SIZE_DROPDOWN ])
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FACE_DETECTOR_SIZE_DROPDOWN.change(update_face_detector_size, inputs = FACE_DETECTOR_SIZE_DROPDOWN)
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FACE_DETECTOR_ANGLES_CHECKBOX_GROUP.change(update_face_detector_angles, inputs = FACE_DETECTOR_ANGLES_CHECKBOX_GROUP, outputs = FACE_DETECTOR_ANGLES_CHECKBOX_GROUP)
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FACE_DETECTOR_SCORE_SLIDER.release(update_face_detector_score, inputs = FACE_DETECTOR_SCORE_SLIDER)
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def update_face_detector_model(face_detector_model : FaceDetectorModel) -> Tuple[gradio.Dropdown, gradio.Dropdown]:
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face_detector.clear_inference_pool()
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state_manager.set_item('face_detector_model', face_detector_model)
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if face_detector.pre_check():
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face_detector_size_choices = facefusion.choices.face_detector_set.get(state_manager.get_item('face_detector_model'))
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state_manager.set_item('face_detector_size', get_last(face_detector_size_choices))
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return gradio.Dropdown(value = state_manager.get_item('face_detector_model')), gradio.Dropdown(value = state_manager.get_item('face_detector_size'), choices = face_detector_size_choices)
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return gradio.Dropdown(), gradio.Dropdown()
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def update_face_detector_size(face_detector_size : str) -> None:
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state_manager.set_item('face_detector_size', face_detector_size)
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def update_face_detector_angles(face_detector_angles : Sequence[Angle]) -> gradio.CheckboxGroup:
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face_detector_angles = face_detector_angles or facefusion.choices.face_detector_angles
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state_manager.set_item('face_detector_angles', face_detector_angles)
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return gradio.CheckboxGroup(value = state_manager.get_item('face_detector_angles'))
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def update_face_detector_score(face_detector_score : Score) -> None:
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state_manager.set_item('face_detector_score', face_detector_score)
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