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from typing import List, Optional, Tuple, Any, Dict
import gradio
import facefusion.globals
import facefusion.choices
from facefusion import wording
from facefusion.face_store import clear_static_faces, clear_reference_faces
from facefusion.vision import get_video_frame, read_static_image, normalize_frame_color
from facefusion.face_analyser import get_many_faces
from facefusion.typing import Frame, FaceSelectorMode
from facefusion.filesystem import is_image, is_video
from facefusion.uis.core import get_ui_component, register_ui_component
from facefusion.uis.typing import ComponentName
FACE_SELECTOR_MODE_DROPDOWN : Optional[gradio.Dropdown] = None
REFERENCE_FACE_POSITION_GALLERY : Optional[gradio.Gallery] = None
REFERENCE_FACE_DISTANCE_SLIDER : Optional[gradio.Slider] = None
def render() -> None:
global FACE_SELECTOR_MODE_DROPDOWN
global REFERENCE_FACE_POSITION_GALLERY
global REFERENCE_FACE_DISTANCE_SLIDER
reference_face_gallery_args: Dict[str, Any] =\
{
'label': wording.get('reference_face_gallery_label'),
'object_fit': 'cover',
'columns': 8,
'allow_preview': False,
'visible': 'reference' in facefusion.globals.face_selector_mode
}
if is_image(facefusion.globals.target_path):
reference_frame = read_static_image(facefusion.globals.target_path)
reference_face_gallery_args['value'] = extract_gallery_frames(reference_frame)
if is_video(facefusion.globals.target_path):
reference_frame = get_video_frame(facefusion.globals.target_path, facefusion.globals.reference_frame_number)
reference_face_gallery_args['value'] = extract_gallery_frames(reference_frame)
FACE_SELECTOR_MODE_DROPDOWN = gradio.Dropdown(
label = wording.get('face_selector_mode_dropdown_label'),
choices = facefusion.choices.face_selector_modes,
value = facefusion.globals.face_selector_mode
)
REFERENCE_FACE_POSITION_GALLERY = gradio.Gallery(**reference_face_gallery_args)
REFERENCE_FACE_DISTANCE_SLIDER = gradio.Slider(
label = wording.get('reference_face_distance_slider_label'),
value = facefusion.globals.reference_face_distance,
step = facefusion.choices.reference_face_distance_range[1] - facefusion.choices.reference_face_distance_range[0],
minimum = facefusion.choices.reference_face_distance_range[0],
maximum = facefusion.choices.reference_face_distance_range[-1],
visible = 'reference' in facefusion.globals.face_selector_mode
)
register_ui_component('face_selector_mode_dropdown', FACE_SELECTOR_MODE_DROPDOWN)
register_ui_component('reference_face_position_gallery', REFERENCE_FACE_POSITION_GALLERY)
register_ui_component('reference_face_distance_slider', REFERENCE_FACE_DISTANCE_SLIDER)
def listen() -> None:
FACE_SELECTOR_MODE_DROPDOWN.select(update_face_selector_mode, inputs = FACE_SELECTOR_MODE_DROPDOWN, outputs = [ REFERENCE_FACE_POSITION_GALLERY, REFERENCE_FACE_DISTANCE_SLIDER ])
REFERENCE_FACE_POSITION_GALLERY.select(clear_and_update_reference_face_position)
REFERENCE_FACE_DISTANCE_SLIDER.change(update_reference_face_distance, inputs = REFERENCE_FACE_DISTANCE_SLIDER)
multi_component_names : List[ComponentName] =\
[
'target_image',
'target_video'
]
for component_name in multi_component_names:
component = get_ui_component(component_name)
if component:
for method in [ 'upload', 'change', 'clear' ]:
getattr(component, method)(update_reference_face_position)
getattr(component, method)(update_reference_position_gallery, outputs = REFERENCE_FACE_POSITION_GALLERY)
change_one_component_names : List[ComponentName] =\
[
'face_analyser_order_dropdown',
'face_analyser_age_dropdown',
'face_analyser_gender_dropdown'
]
for component_name in change_one_component_names:
component = get_ui_component(component_name)
if component:
component.change(update_reference_position_gallery, outputs = REFERENCE_FACE_POSITION_GALLERY)
change_two_component_names : List[ComponentName] =\
[
'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_reference_position_gallery, outputs = REFERENCE_FACE_POSITION_GALLERY)
preview_frame_slider = get_ui_component('preview_frame_slider')
if preview_frame_slider:
preview_frame_slider.change(update_reference_frame_number, inputs = preview_frame_slider)
preview_frame_slider.release(update_reference_position_gallery, outputs = REFERENCE_FACE_POSITION_GALLERY)
def update_face_selector_mode(face_selector_mode : FaceSelectorMode) -> Tuple[gradio.Gallery, gradio.Slider]:
if face_selector_mode == 'reference':
facefusion.globals.face_selector_mode = face_selector_mode
return gradio.Gallery(visible = True), gradio.Slider(visible = True)
if face_selector_mode == 'one':
facefusion.globals.face_selector_mode = face_selector_mode
return gradio.Gallery(visible = False), gradio.Slider(visible = False)
if face_selector_mode == 'many':
facefusion.globals.face_selector_mode = face_selector_mode
return gradio.Gallery(visible = False), gradio.Slider(visible = False)
def clear_and_update_reference_face_position(event : gradio.SelectData) -> gradio.Gallery:
clear_reference_faces()
clear_static_faces()
update_reference_face_position(event.index)
return update_reference_position_gallery()
def update_reference_face_position(reference_face_position : int = 0) -> None:
facefusion.globals.reference_face_position = reference_face_position
def update_reference_face_distance(reference_face_distance : float) -> None:
facefusion.globals.reference_face_distance = reference_face_distance
def update_reference_frame_number(reference_frame_number : int) -> None:
facefusion.globals.reference_frame_number = reference_frame_number
def clear_and_update_reference_position_gallery() -> gradio.Gallery:
clear_reference_faces()
clear_static_faces()
return update_reference_position_gallery()
def update_reference_position_gallery() -> gradio.Gallery:
gallery_frames = []
if is_image(facefusion.globals.target_path):
reference_frame = read_static_image(facefusion.globals.target_path)
gallery_frames = extract_gallery_frames(reference_frame)
if is_video(facefusion.globals.target_path):
reference_frame = get_video_frame(facefusion.globals.target_path, facefusion.globals.reference_frame_number)
gallery_frames = extract_gallery_frames(reference_frame)
if gallery_frames:
return gradio.Gallery(value = gallery_frames)
return gradio.Gallery(value = None)
def extract_gallery_frames(reference_frame : Frame) -> List[Frame]:
crop_frames = []
faces = get_many_faces(reference_frame)
for face in faces:
start_x, start_y, end_x, end_y = map(int, face.bbox)
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_frame = reference_frame[start_y:end_y, start_x:end_x]
crop_frame = normalize_frame_color(crop_frame)
crop_frames.append(crop_frame)
return crop_frames
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