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from typing import List, Optional, Tuple
import cv2
import gradio
import numpy
from facefusion import logger, process_manager, state_manager, translator
from facefusion.audio import create_empty_audio_frame, get_voice_frame
from facefusion.common_helper import get_first, get_middle
from facefusion.content_analyser import analyse_frame
from facefusion.face_creator import get_one_face
from facefusion.face_selector import select_faces
from facefusion.face_store import clear_faces
from facefusion.filesystem import filter_audio_paths, is_image, is_video
from facefusion.processors.core import get_processors_modules
from facefusion.types import AudioFrame, Face, Mask, VisionFrame
from facefusion.uis import choices as uis_choices
from facefusion.uis.core import get_ui_component, get_ui_components, register_ui_component
from facefusion.uis.types import ComponentOptions, PreviewMode
from facefusion.vision import detect_frame_orientation, extract_vision_mask, fit_cover_frame, is_vision_frame, merge_vision_mask, obscure_frame, read_static_image, read_static_images, read_video_frame, restrict_frame, select_video_frames, unpack_resolution
PREVIEW_IMAGE : Optional[gradio.Image] = None
def render() -> None:
global PREVIEW_IMAGE
preview_image_options : ComponentOptions =\
{
'label': translator.get('uis.preview_image')
}
source_vision_frames = read_static_images(state_manager.get_item('source_paths'))
source_audio_path = get_first(filter_audio_paths(state_manager.get_item('source_paths')))
source_audio_frame = create_empty_audio_frame()
source_voice_frame = create_empty_audio_frame()
if source_audio_path and state_manager.get_item('output_video_fps'):
temp_voice_frame = get_voice_frame(source_audio_path, state_manager.get_item('output_video_fps'), state_manager.get_item('reference_frame_number'))
if numpy.any(temp_voice_frame):
source_voice_frame = temp_voice_frame
if is_image(state_manager.get_item('target_path')):
target_vision_frame = read_static_image(state_manager.get_item('target_path'))
reference_vision_frame = read_static_image(state_manager.get_item('target_path'))
preview_vision_frame = process_preview_frame(reference_vision_frame, source_vision_frames, source_audio_frame, source_voice_frame, [ target_vision_frame ], uis_choices.preview_modes[0], uis_choices.preview_resolutions[-1])
preview_image_options['value'] = cv2.cvtColor(preview_vision_frame, cv2.COLOR_BGR2RGB)
preview_image_options['elem_classes'] = [ 'image-preview', 'is-' + detect_frame_orientation(preview_vision_frame) ]
if is_video(state_manager.get_item('target_path')):
reference_vision_frame = read_video_frame(state_manager.get_item('target_path'), state_manager.get_item('reference_frame_number'))
target_vision_frames = select_video_frames(state_manager.get_item('target_path'), state_manager.get_item('reference_frame_number'), state_manager.get_item('target_frame_amount'))
preview_vision_frame = process_preview_frame(reference_vision_frame, source_vision_frames, source_audio_frame, source_voice_frame, target_vision_frames, uis_choices.preview_modes[0], uis_choices.preview_resolutions[-1])
preview_image_options['value'] = cv2.cvtColor(preview_vision_frame, cv2.COLOR_BGR2RGB)
preview_image_options['elem_classes'] = [ 'image-preview', 'is-' + detect_frame_orientation(preview_vision_frame) ]
preview_image_options['visible'] = True
PREVIEW_IMAGE = gradio.Image(**preview_image_options)
register_ui_component('preview_image', PREVIEW_IMAGE)
def listen() -> None:
preview_frame_slider = get_ui_component('preview_frame_slider')
preview_mode_dropdown = get_ui_component('preview_mode_dropdown')
preview_resolution_dropdown = get_ui_component('preview_resolution_dropdown')
if preview_mode_dropdown:
preview_mode_dropdown.change(update_preview_image, inputs = [ preview_mode_dropdown, preview_resolution_dropdown, preview_frame_slider ], outputs = PREVIEW_IMAGE)
if preview_resolution_dropdown:
preview_resolution_dropdown.change(update_preview_image, inputs = [ preview_mode_dropdown, preview_resolution_dropdown, preview_frame_slider ], outputs = PREVIEW_IMAGE)
if preview_frame_slider:
preview_frame_slider.release(update_preview_image, inputs = [ preview_mode_dropdown, preview_resolution_dropdown, preview_frame_slider ], outputs = PREVIEW_IMAGE, show_progress = 'hidden')
preview_frame_slider.change(update_preview_image, inputs = [ preview_mode_dropdown, preview_resolution_dropdown, preview_frame_slider ], outputs = PREVIEW_IMAGE, show_progress = 'hidden', trigger_mode = 'once')
reference_face_position_gallery = get_ui_component('reference_face_position_gallery')
if reference_face_position_gallery:
reference_face_position_gallery.select(clear_and_update_preview_image, inputs = [ preview_mode_dropdown, preview_resolution_dropdown, preview_frame_slider ], outputs = PREVIEW_IMAGE)
for ui_component in get_ui_components(
[
'source_audio',
'source_image',
'target_image',
'target_video'
]):
for method in [ 'change', 'clear' ]:
getattr(ui_component, method)(update_preview_image, inputs = [ preview_mode_dropdown, preview_resolution_dropdown, preview_frame_slider ], outputs = PREVIEW_IMAGE)
for ui_component in get_ui_components(
[
'background_remover_fill_color_red_number',
'background_remover_fill_color_green_number',
'background_remover_fill_color_blue_number',
'background_remover_fill_color_alpha_number',
'background_remover_despill_color_red_number',
'background_remover_despill_color_green_number',
'background_remover_despill_color_blue_number',
'background_remover_despill_color_alpha_number',
'face_debugger_items_checkbox_group',
'frame_colorizer_size_dropdown',
'face_mask_types_checkbox_group',
'face_mask_areas_checkbox_group',
'face_mask_regions_checkbox_group',
'expression_restorer_areas_checkbox_group'
]):
ui_component.change(update_preview_image, inputs = [ preview_mode_dropdown, preview_resolution_dropdown, preview_frame_slider ], outputs = PREVIEW_IMAGE)
for ui_component in get_ui_components(
[
'age_modifier_direction_slider',
'deep_swapper_morph_slider',
'expression_restorer_factor_slider',
'face_editor_eyebrow_direction_slider',
'face_editor_eye_gaze_horizontal_slider',
'face_editor_eye_gaze_vertical_slider',
'face_editor_eye_open_ratio_slider',
'face_editor_lip_open_ratio_slider',
'face_editor_mouth_grim_slider',
'face_editor_mouth_pout_slider',
'face_editor_mouth_purse_slider',
'face_editor_mouth_smile_slider',
'face_editor_mouth_position_horizontal_slider',
'face_editor_mouth_position_vertical_slider',
'face_editor_head_pitch_slider',
'face_editor_head_yaw_slider',
'face_editor_head_roll_slider',
'face_enhancer_blend_slider',
'face_enhancer_weight_slider',
'face_swapper_weight_slider',
'frame_colorizer_blend_slider',
'frame_enhancer_blend_slider',
'lip_syncer_weight_slider',
'reference_face_distance_slider',
'face_selector_age_range_slider',
'face_tracker_score_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',
'output_video_fps_slider'
]):
ui_component.release(update_preview_image, inputs = [ preview_mode_dropdown, preview_resolution_dropdown, preview_frame_slider ], outputs = PREVIEW_IMAGE)
for ui_component in get_ui_components(
[
'age_modifier_model_dropdown',
'background_remover_model_dropdown',
'deep_swapper_model_dropdown',
'expression_restorer_model_dropdown',
'processors_checkbox_group',
'face_editor_model_dropdown',
'face_enhancer_model_dropdown',
'face_swapper_model_dropdown',
'face_swapper_pixel_boost_dropdown',
'frame_colorizer_model_dropdown',
'frame_enhancer_model_dropdown',
'lip_syncer_model_dropdown',
'face_selector_mode_dropdown',
'face_selector_order_dropdown',
'face_selector_gender_dropdown',
'face_selector_race_dropdown',
'face_detector_model_dropdown',
'face_detector_size_dropdown',
'face_detector_angles_checkbox_group',
'face_landmarker_model_dropdown',
'face_occluder_model_dropdown',
'face_parser_model_dropdown',
'voice_extractor_model_dropdown'
]):
ui_component.change(clear_and_update_preview_image, inputs = [ preview_mode_dropdown, preview_resolution_dropdown, preview_frame_slider ], outputs = PREVIEW_IMAGE)
for ui_component in get_ui_components(
[
'face_detector_margin_slider',
'face_detector_score_slider',
'face_landmarker_score_slider'
]):
ui_component.release(clear_and_update_preview_image, inputs = [ preview_mode_dropdown, preview_resolution_dropdown, preview_frame_slider ], outputs = PREVIEW_IMAGE)
def update_preview_image(preview_mode : PreviewMode, preview_resolution : str, frame_number : int = 0) -> gradio.Image:
while process_manager.is_checking():
sleep(0.5)
source_vision_frames = read_static_images(state_manager.get_item('source_paths'))
source_audio_path = get_first(filter_audio_paths(state_manager.get_item('source_paths')))
source_audio_frame = create_empty_audio_frame()
source_voice_frame = create_empty_audio_frame()
if source_audio_path and state_manager.get_item('output_video_fps'):
audio_frame_number = frame_number
if state_manager.get_item('trim_frame_start'):
audio_frame_number -= state_manager.get_item('trim_frame_start')
temp_voice_frame = get_voice_frame(source_audio_path, state_manager.get_item('output_video_fps'), audio_frame_number)
if numpy.any(temp_voice_frame):
source_voice_frame = temp_voice_frame
if is_image(state_manager.get_item('target_path')):
reference_vision_frame = read_static_image(state_manager.get_item('target_path'))
target_vision_frame = read_static_image(state_manager.get_item('target_path'), 'rgba')
preview_vision_frame = process_preview_frame(reference_vision_frame, source_vision_frames, source_audio_frame, source_voice_frame, [ target_vision_frame ], preview_mode, preview_resolution)
preview_vision_frame = cv2.cvtColor(preview_vision_frame, cv2.COLOR_BGRA2RGBA)
return gradio.Image(value = preview_vision_frame, elem_classes = [ 'image-preview', 'is-' + detect_frame_orientation(preview_vision_frame) ])
if is_video(state_manager.get_item('target_path')):
reference_vision_frame = read_video_frame(state_manager.get_item('target_path'), state_manager.get_item('reference_frame_number'))
target_vision_frames = select_video_frames(state_manager.get_item('target_path'), frame_number, state_manager.get_item('target_frame_amount'))
preview_vision_frame = process_preview_frame(reference_vision_frame, source_vision_frames, source_audio_frame, source_voice_frame, target_vision_frames, preview_mode, preview_resolution)
preview_vision_frame = cv2.cvtColor(preview_vision_frame, cv2.COLOR_BGRA2RGBA)
return gradio.Image(value = preview_vision_frame, elem_classes = [ 'image-preview', 'is-' + detect_frame_orientation(preview_vision_frame) ])
return gradio.Image(value = None, elem_classes = None)
def clear_and_update_preview_image(preview_mode : PreviewMode, preview_resolution : str, frame_number : int = 0) -> gradio.Image:
clear_faces()
return update_preview_image(preview_mode, preview_resolution, frame_number)
def process_preview_frame(reference_vision_frame : VisionFrame, source_vision_frames : List[VisionFrame], source_audio_frame : AudioFrame, source_voice_frame : AudioFrame, target_vision_frames : List[VisionFrame], preview_mode : PreviewMode, preview_resolution : str) -> VisionFrame:
target_vision_frame = get_middle(target_vision_frames)
target_vision_frame = restrict_frame(target_vision_frame, unpack_resolution(preview_resolution))
temp_vision_mask = extract_vision_mask(target_vision_frame)
target_vision_frame = merge_vision_mask(target_vision_frame, temp_vision_mask)
target_vision_frames = [ restrict_frame(vision_frame, unpack_resolution(preview_resolution))[:, :, :3] for vision_frame in target_vision_frames ]
temp_vision_frame = target_vision_frame.copy()
if analyse_frame(target_vision_frame[:, :, :3]):
if preview_mode == 'frame-by-frame':
temp_vision_frame = obscure_frame(temp_vision_frame[:, :, :3])
return numpy.hstack((temp_vision_frame, temp_vision_frame))
if preview_mode == 'face-by-face':
target_crop_vision_frame, output_crop_vision_frame = create_face_by_face(reference_vision_frame, source_vision_frames, target_vision_frame[:, :, :3], temp_vision_frame[:, :, :3])
target_crop_vision_frame = obscure_frame(target_crop_vision_frame)
output_crop_vision_frame = obscure_frame(output_crop_vision_frame)
return numpy.hstack((target_crop_vision_frame, output_crop_vision_frame))
temp_vision_frame = obscure_frame(temp_vision_frame)
return temp_vision_frame
for processor_module in get_processors_modules(state_manager.get_item('processors')):
logger.disable()
if processor_module.pre_process('preview'):
logger.enable()
temp_vision_frame, temp_vision_mask = processor_module.process_frame(
{
'reference_vision_frame': reference_vision_frame,
'source_audio_frame': source_audio_frame,
'source_voice_frame': source_voice_frame,
'source_vision_frames': source_vision_frames,
'target_vision_frames': target_vision_frames,
'temp_vision_frame': temp_vision_frame[:, :, :3],
'temp_vision_mask': temp_vision_mask
})
logger.enable()
temp_vision_frame = prepare_output_frame(target_vision_frame, temp_vision_frame, temp_vision_mask)
if preview_mode == 'frame-by-frame':
return numpy.hstack((target_vision_frame, temp_vision_frame))
if preview_mode == 'face-by-face':
target_crop_vision_frame, output_crop_vision_frame = create_face_by_face(reference_vision_frame, source_vision_frames, target_vision_frame, temp_vision_frame)
return numpy.hstack((target_crop_vision_frame, output_crop_vision_frame))
return temp_vision_frame
def create_face_by_face(reference_vision_frame : VisionFrame, source_vision_frames : List[VisionFrame], target_vision_frame : VisionFrame, temp_vision_frame : VisionFrame) -> Tuple[VisionFrame, VisionFrame]:
target_faces = select_faces(reference_vision_frame[:, :, :3], source_vision_frames, [ target_vision_frame[:, :, :3] ])
target_face = get_one_face(target_faces)
if target_face:
target_crop_vision_frame = extract_crop_frame(target_vision_frame, target_face)
output_crop_vision_frame = extract_crop_frame(temp_vision_frame, target_face)
if is_vision_frame(target_crop_vision_frame) and is_vision_frame(output_crop_vision_frame):
target_crop_dimension = min(target_crop_vision_frame.shape[:2])
target_crop_vision_frame = fit_cover_frame(target_crop_vision_frame, (target_crop_dimension, target_crop_dimension))
output_crop_vision_frame = fit_cover_frame(output_crop_vision_frame, (target_crop_dimension, target_crop_dimension))
return target_crop_vision_frame, output_crop_vision_frame
empty_vision_frame = numpy.zeros((512, 512, 4), dtype = numpy.uint8)
return empty_vision_frame, empty_vision_frame
def extract_crop_frame(vision_frame : VisionFrame, face : Face) -> Optional[VisionFrame]:
start_x, start_y, end_x, end_y = map(int, face.bounding_box)
padding_x = int((end_x - start_x) * 0.25)
padding_y = int((end_y - start_y) * 0.25)
start_x = max(0, start_x - padding_x)
start_y = max(0, start_y - padding_y)
end_x = max(0, end_x + padding_x)
end_y = max(0, end_y + padding_y)
crop_vision_frame = vision_frame[start_y:end_y, start_x:end_x]
return crop_vision_frame
def prepare_output_frame(target_vision_frame : VisionFrame, temp_vision_frame : VisionFrame, temp_vision_mask : Mask) -> VisionFrame:
temp_vision_mask = temp_vision_mask.clip(state_manager.get_item('background_remover_fill_color')[-1], 255)
temp_vision_frame = merge_vision_mask(temp_vision_frame, temp_vision_mask)
temp_vision_frame = cv2.resize(temp_vision_frame, target_vision_frame.shape[1::-1])
return temp_vision_frame
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