| from typing import Any, Dict, List, Optional | |
| import cv2 | |
| import gradio | |
| import facefusion.globals | |
| from facefusion import wording | |
| from facefusion.core import conditional_set_face_reference | |
| from facefusion.face_cache import clear_faces_cache | |
| from facefusion.typing import Frame, Face | |
| from facefusion.vision import get_video_frame, count_video_frame_total, normalize_frame_color, resize_frame_dimension, read_static_image | |
| from facefusion.face_analyser import get_one_face, clear_face_analyser | |
| from facefusion.face_reference import get_face_reference, clear_face_reference | |
| from facefusion.content_analyser import analyse_frame | |
| from facefusion.processors.frame.core import load_frame_processor_module | |
| from facefusion.utilities import is_video, is_image | |
| from facefusion.uis.typing import ComponentName | |
| from facefusion.uis.core import get_ui_component, register_ui_component | |
| PREVIEW_IMAGE : Optional[gradio.Image] = None | |
| PREVIEW_FRAME_SLIDER : Optional[gradio.Slider] = None | |
| def render() -> None: | |
| global PREVIEW_IMAGE | |
| global PREVIEW_FRAME_SLIDER | |
| preview_image_args: Dict[str, Any] =\ | |
| { | |
| 'label': wording.get('preview_image_label'), | |
| 'interactive': False | |
| } | |
| preview_frame_slider_args: Dict[str, Any] =\ | |
| { | |
| 'label': wording.get('preview_frame_slider_label'), | |
| 'step': 1, | |
| 'minimum': 0, | |
| 'maximum': 100, | |
| 'visible': False | |
| } | |
| conditional_set_face_reference() | |
| source_face = get_one_face(read_static_image(facefusion.globals.source_path)) | |
| reference_face = get_face_reference() if 'reference' in facefusion.globals.face_selector_mode else None | |
| if is_image(facefusion.globals.target_path): | |
| target_frame = read_static_image(facefusion.globals.target_path) | |
| preview_frame = process_preview_frame(source_face, reference_face, target_frame) | |
| preview_image_args['value'] = normalize_frame_color(preview_frame) | |
| if is_video(facefusion.globals.target_path): | |
| temp_frame = get_video_frame(facefusion.globals.target_path, facefusion.globals.reference_frame_number) | |
| preview_frame = process_preview_frame(source_face, reference_face, temp_frame) | |
| preview_image_args['value'] = normalize_frame_color(preview_frame) | |
| preview_image_args['visible'] = True | |
| preview_frame_slider_args['value'] = facefusion.globals.reference_frame_number | |
| preview_frame_slider_args['maximum'] = count_video_frame_total(facefusion.globals.target_path) | |
| preview_frame_slider_args['visible'] = True | |
| PREVIEW_IMAGE = gradio.Image(**preview_image_args) | |
| PREVIEW_FRAME_SLIDER = gradio.Slider(**preview_frame_slider_args) | |
| register_ui_component('preview_frame_slider', PREVIEW_FRAME_SLIDER) | |
| def listen() -> None: | |
| PREVIEW_FRAME_SLIDER.change(update_preview_image, inputs = PREVIEW_FRAME_SLIDER, outputs = PREVIEW_IMAGE) | |
| multi_one_component_names : List[ComponentName] =\ | |
| [ | |
| 'source_image', | |
| 'target_image', | |
| 'target_video' | |
| ] | |
| for component_name in multi_one_component_names: | |
| component = get_ui_component(component_name) | |
| if component: | |
| for method in [ 'upload', 'change', 'clear' ]: | |
| getattr(component, method)(update_preview_image, inputs = PREVIEW_FRAME_SLIDER, outputs = PREVIEW_IMAGE) | |
| multi_two_component_names : List[ComponentName] =\ | |
| [ | |
| 'target_image', | |
| 'target_video' | |
| ] | |
| for component_name in multi_two_component_names: | |
| component = get_ui_component(component_name) | |
| if component: | |
| for method in [ 'upload', 'change', 'clear' ]: | |
| getattr(component, method)(update_preview_frame_slider, outputs = PREVIEW_FRAME_SLIDER) | |
| select_component_names : List[ComponentName] =\ | |
| [ | |
| 'reference_face_position_gallery', | |
| 'face_analyser_order_dropdown', | |
| 'face_analyser_age_dropdown', | |
| 'face_analyser_gender_dropdown' | |
| ] | |
| for component_name in select_component_names: | |
| component = get_ui_component(component_name) | |
| if component: | |
| component.select(update_preview_image, inputs = PREVIEW_FRAME_SLIDER, outputs = PREVIEW_IMAGE) | |
| change_one_component_names : List[ComponentName] =\ | |
| [ | |
| 'frame_processors_checkbox_group', | |
| 'face_debugger_items_checkbox_group', | |
| 'face_enhancer_model_dropdown', | |
| 'face_enhancer_blend_slider', | |
| 'frame_enhancer_model_dropdown', | |
| 'frame_enhancer_blend_slider', | |
| 'face_selector_mode_dropdown', | |
| 'reference_face_distance_slider', | |
| 'face_mask_blur_slider', | |
| 'face_mask_padding_top_slider', | |
| 'face_mask_padding_bottom_slider', | |
| 'face_mask_padding_left_slider', | |
| 'face_mask_padding_right_slider' | |
| ] | |
| for component_name in change_one_component_names: | |
| component = get_ui_component(component_name) | |
| if component: | |
| component.change(update_preview_image, inputs = PREVIEW_FRAME_SLIDER, outputs = PREVIEW_IMAGE) | |
| change_two_component_names : List[ComponentName] =\ | |
| [ | |
| 'face_swapper_model_dropdown', | |
| 'face_detector_model_dropdown', | |
| 'face_detector_size_dropdown', | |
| 'face_detector_score_slider' | |
| ] | |
| for component_name in change_two_component_names: | |
| component = get_ui_component(component_name) | |
| if component: | |
| component.change(clear_and_update_preview_image, inputs = PREVIEW_FRAME_SLIDER, outputs = PREVIEW_IMAGE) | |
| def clear_and_update_preview_image(frame_number : int = 0) -> gradio.Image: | |
| clear_face_analyser() | |
| clear_face_reference() | |
| clear_faces_cache() | |
| return update_preview_image(frame_number) | |
| def update_preview_image(frame_number : int = 0) -> gradio.Image: | |
| conditional_set_face_reference() | |
| source_face = get_one_face(read_static_image(facefusion.globals.source_path)) | |
| reference_face = get_face_reference() if 'reference' in facefusion.globals.face_selector_mode else None | |
| if is_image(facefusion.globals.target_path): | |
| target_frame = read_static_image(facefusion.globals.target_path) | |
| preview_frame = process_preview_frame(source_face, reference_face, target_frame) | |
| preview_frame = normalize_frame_color(preview_frame) | |
| return gradio.Image(value = preview_frame) | |
| if is_video(facefusion.globals.target_path): | |
| temp_frame = get_video_frame(facefusion.globals.target_path, frame_number) | |
| preview_frame = process_preview_frame(source_face, reference_face, temp_frame) | |
| preview_frame = normalize_frame_color(preview_frame) | |
| return gradio.Image(value = preview_frame) | |
| return gradio.Image(value = None) | |
| def update_preview_frame_slider() -> gradio.Slider: | |
| if is_video(facefusion.globals.target_path): | |
| video_frame_total = count_video_frame_total(facefusion.globals.target_path) | |
| return gradio.Slider(maximum = video_frame_total, visible = True) | |
| return gradio.Slider(value = None, maximum = None, visible = False) | |
| def process_preview_frame(source_face : Face, reference_face : Face, temp_frame : Frame) -> Frame: | |
| temp_frame = resize_frame_dimension(temp_frame, 640, 640) | |
| if analyse_frame(temp_frame): | |
| return cv2.GaussianBlur(temp_frame, (99, 99), 0) | |
| for frame_processor in facefusion.globals.frame_processors: | |
| frame_processor_module = load_frame_processor_module(frame_processor) | |
| if frame_processor_module.pre_process('preview'): | |
| temp_frame = frame_processor_module.process_frame( | |
| source_face, | |
| reference_face, | |
| temp_frame | |
| ) | |
| return temp_frame | |