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from typing import List, Optional, Tuple
import gradio
from gradio_rangeslider import RangeSlider
import facefusion.choices
from facefusion import state_manager, wording
from facefusion.common_helper import calc_float_step, calc_int_step
from facefusion.face_analyser import get_many_faces
from facefusion.face_selector import sort_and_filter_faces
from facefusion.face_store import clear_reference_faces, clear_static_faces
from facefusion.filesystem import is_image, is_video
from facefusion.typing import FaceSelectorMode, FaceSelectorOrder, Gender, Race, VisionFrame
from facefusion.uis.core import get_ui_component, get_ui_components, register_ui_component
from facefusion.uis.typing import ComponentOptions
from facefusion.uis.ui_helper import convert_str_none
from facefusion.vision import get_video_frame, normalize_frame_color, read_static_image
FACE_SELECTOR_MODE_DROPDOWN : Optional[gradio.Dropdown] = None
FACE_SELECTOR_ORDER_DROPDOWN : Optional[gradio.Dropdown] = None
FACE_SELECTOR_GENDER_DROPDOWN : Optional[gradio.Dropdown] = None
FACE_SELECTOR_RACE_DROPDOWN : Optional[gradio.Dropdown] = None
FACE_SELECTOR_AGE_RANGE_SLIDER : Optional[RangeSlider] = 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 FACE_SELECTOR_ORDER_DROPDOWN
global FACE_SELECTOR_GENDER_DROPDOWN
global FACE_SELECTOR_RACE_DROPDOWN
global FACE_SELECTOR_AGE_RANGE_SLIDER
global REFERENCE_FACE_POSITION_GALLERY
global REFERENCE_FACE_DISTANCE_SLIDER
reference_face_gallery_options : ComponentOptions =\
{
'label': wording.get('uis.reference_face_gallery'),
'object_fit': 'cover',
'columns': 8,
'allow_preview': False,
'visible': 'reference' in state_manager.get_item('face_selector_mode')
}
if is_image(state_manager.get_item('target_path')):
reference_frame = read_static_image(state_manager.get_item('target_path'))
reference_face_gallery_options['value'] = extract_gallery_frames(reference_frame)
if is_video(state_manager.get_item('target_path')):
reference_frame = get_video_frame(state_manager.get_item('target_path'), state_manager.get_item('reference_frame_number'))
reference_face_gallery_options['value'] = extract_gallery_frames(reference_frame)
FACE_SELECTOR_MODE_DROPDOWN = gradio.Dropdown(
label = wording.get('uis.face_selector_mode_dropdown'),
choices = facefusion.choices.face_selector_modes,
value = state_manager.get_item('face_selector_mode')
)
REFERENCE_FACE_POSITION_GALLERY = gradio.Gallery(**reference_face_gallery_options)
with gradio.Group():
with gradio.Row():
FACE_SELECTOR_ORDER_DROPDOWN = gradio.Dropdown(
label = wording.get('uis.face_selector_order_dropdown'),
choices = facefusion.choices.face_selector_orders,
value = state_manager.get_item('face_selector_order')
)
FACE_SELECTOR_GENDER_DROPDOWN = gradio.Dropdown(
label = wording.get('uis.face_selector_gender_dropdown'),
choices = [ 'none' ] + facefusion.choices.face_selector_genders,
value = state_manager.get_item('face_selector_gender') or 'none'
)
FACE_SELECTOR_RACE_DROPDOWN = gradio.Dropdown(
label = wording.get('uis.face_selector_race_dropdown'),
choices = ['none'] + facefusion.choices.face_selector_races,
value = state_manager.get_item('face_selector_race') or 'none'
)
with gradio.Row():
face_selector_age_start = state_manager.get_item('face_selector_age_start') or facefusion.choices.face_selector_age_range[0]
face_selector_age_end = state_manager.get_item('face_selector_age_end') or facefusion.choices.face_selector_age_range[-1]
FACE_SELECTOR_AGE_RANGE_SLIDER = RangeSlider(
label = wording.get('uis.face_selector_age_range_slider'),
minimum = facefusion.choices.face_selector_age_range[0],
maximum = facefusion.choices.face_selector_age_range[-1],
value = (face_selector_age_start, face_selector_age_end),
step = calc_int_step(facefusion.choices.face_selector_age_range)
)
REFERENCE_FACE_DISTANCE_SLIDER = gradio.Slider(
label = wording.get('uis.reference_face_distance_slider'),
value = state_manager.get_item('reference_face_distance'),
step = calc_float_step(facefusion.choices.reference_face_distance_range),
minimum = facefusion.choices.reference_face_distance_range[0],
maximum = facefusion.choices.reference_face_distance_range[-1],
visible = 'reference' in state_manager.get_item('face_selector_mode')
)
register_ui_component('face_selector_mode_dropdown', FACE_SELECTOR_MODE_DROPDOWN)
register_ui_component('face_selector_order_dropdown', FACE_SELECTOR_ORDER_DROPDOWN)
register_ui_component('face_selector_gender_dropdown', FACE_SELECTOR_GENDER_DROPDOWN)
register_ui_component('face_selector_race_dropdown', FACE_SELECTOR_RACE_DROPDOWN)
register_ui_component('face_selector_age_range_slider', FACE_SELECTOR_AGE_RANGE_SLIDER)
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.change(update_face_selector_mode, inputs = FACE_SELECTOR_MODE_DROPDOWN, outputs = [ REFERENCE_FACE_POSITION_GALLERY, REFERENCE_FACE_DISTANCE_SLIDER ])
FACE_SELECTOR_ORDER_DROPDOWN.change(update_face_selector_order, inputs = FACE_SELECTOR_ORDER_DROPDOWN, outputs = REFERENCE_FACE_POSITION_GALLERY)
FACE_SELECTOR_GENDER_DROPDOWN.change(update_face_selector_gender, inputs = FACE_SELECTOR_GENDER_DROPDOWN, outputs = REFERENCE_FACE_POSITION_GALLERY)
FACE_SELECTOR_RACE_DROPDOWN.change(update_face_selector_race, inputs = FACE_SELECTOR_RACE_DROPDOWN, outputs = REFERENCE_FACE_POSITION_GALLERY)
FACE_SELECTOR_AGE_RANGE_SLIDER.release(update_face_selector_age_range, inputs = FACE_SELECTOR_AGE_RANGE_SLIDER, outputs = REFERENCE_FACE_POSITION_GALLERY)
REFERENCE_FACE_POSITION_GALLERY.select(clear_and_update_reference_face_position)
REFERENCE_FACE_DISTANCE_SLIDER.release(update_reference_face_distance, inputs = REFERENCE_FACE_DISTANCE_SLIDER)
for ui_component in get_ui_components(
[
'target_image',
'target_video'
]):
for method in [ 'upload', 'change', 'clear' ]:
getattr(ui_component, method)(update_reference_face_position)
getattr(ui_component, method)(update_reference_position_gallery, outputs = REFERENCE_FACE_POSITION_GALLERY)
for ui_component in get_ui_components(
[
'face_detector_model_dropdown',
'face_detector_size_dropdown',
'face_detector_angles_checkbox_group'
]):
ui_component.change(clear_and_update_reference_position_gallery, outputs = REFERENCE_FACE_POSITION_GALLERY)
face_detector_score_slider = get_ui_component('face_detector_score_slider')
if face_detector_score_slider:
face_detector_score_slider.release(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.release(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]:
state_manager.set_item('face_selector_mode', face_selector_mode)
if face_selector_mode == 'many':
return gradio.Gallery(visible = False), gradio.Slider(visible = False)
if face_selector_mode == 'one':
return gradio.Gallery(visible = False), gradio.Slider(visible = False)
if face_selector_mode == 'reference':
return gradio.Gallery(visible = True), gradio.Slider(visible = True)
def update_face_selector_order(face_analyser_order : FaceSelectorOrder) -> gradio.Gallery:
state_manager.set_item('face_selector_order', convert_str_none(face_analyser_order))
return update_reference_position_gallery()
def update_face_selector_gender(face_selector_gender : Gender) -> gradio.Gallery:
state_manager.set_item('face_selector_gender', convert_str_none(face_selector_gender))
return update_reference_position_gallery()
def update_face_selector_race(face_selector_race : Race) -> gradio.Gallery:
state_manager.set_item('face_selector_race', convert_str_none(face_selector_race))
return update_reference_position_gallery()
def update_face_selector_age_range(face_selector_age_range : Tuple[float, float]) -> gradio.Gallery:
face_selector_age_start, face_selector_age_end = face_selector_age_range
state_manager.set_item('face_selector_age_start', int(face_selector_age_start))
state_manager.set_item('face_selector_age_end', int(face_selector_age_end))
return update_reference_position_gallery()
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:
state_manager.set_item('reference_face_position', reference_face_position)
def update_reference_face_distance(reference_face_distance : float) -> None:
state_manager.set_item('reference_face_distance', reference_face_distance)
def update_reference_frame_number(reference_frame_number : int) -> None:
state_manager.set_item('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_vision_frames = []
if is_image(state_manager.get_item('target_path')):
temp_vision_frame = read_static_image(state_manager.get_item('target_path'))
gallery_vision_frames = extract_gallery_frames(temp_vision_frame)
if is_video(state_manager.get_item('target_path')):
temp_vision_frame = get_video_frame(state_manager.get_item('target_path'), state_manager.get_item('reference_frame_number'))
gallery_vision_frames = extract_gallery_frames(temp_vision_frame)
if gallery_vision_frames:
return gradio.Gallery(value = gallery_vision_frames)
return gradio.Gallery(value = None)
def extract_gallery_frames(temp_vision_frame : VisionFrame) -> List[VisionFrame]:
gallery_vision_frames = []
faces = sort_and_filter_faces(get_many_faces([ temp_vision_frame ]))
for face in faces:
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 = temp_vision_frame[start_y:end_y, start_x:end_x]
crop_vision_frame = normalize_frame_color(crop_vision_frame)
gallery_vision_frames.append(crop_vision_frame)
return gallery_vision_frames