vnyash
166 lines
6.8 KiB
Python
166 lines
6.8 KiB
Python
from typing import List, Optional, Tuple, Any, Dict
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import gradio
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import deepfuze.globals
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import deepfuze.choices
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from deepfuze import wording
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from deepfuze.face_store import clear_static_faces, clear_reference_faces
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from deepfuze.vision import get_video_frame, read_static_image, normalize_frame_color
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from deepfuze.filesystem import is_image, is_video
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from deepfuze.face_analyser import get_many_faces
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from deepfuze.typing import VisionFrame, FaceSelectorMode
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from deepfuze.uis.core import get_ui_component, get_ui_components, register_ui_component
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FACE_SELECTOR_MODE_DROPDOWN : Optional[gradio.Dropdown] = None
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REFERENCE_FACE_POSITION_GALLERY : Optional[gradio.Gallery] = None
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REFERENCE_FACE_DISTANCE_SLIDER : Optional[gradio.Slider] = None
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def render() -> None:
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global FACE_SELECTOR_MODE_DROPDOWN
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global REFERENCE_FACE_POSITION_GALLERY
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global REFERENCE_FACE_DISTANCE_SLIDER
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reference_face_gallery_args : Dict[str, Any] =\
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{
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'label': wording.get('uis.reference_face_gallery'),
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'object_fit': 'cover',
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'columns': 8,
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'allow_preview': False,
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'visible': 'reference' in deepfuze.globals.face_selector_mode
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}
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if is_image(deepfuze.globals.target_path):
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reference_frame = read_static_image(deepfuze.globals.target_path)
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reference_face_gallery_args['value'] = extract_gallery_frames(reference_frame)
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if is_video(deepfuze.globals.target_path):
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reference_frame = get_video_frame(deepfuze.globals.target_path, deepfuze.globals.reference_frame_number)
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reference_face_gallery_args['value'] = extract_gallery_frames(reference_frame)
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FACE_SELECTOR_MODE_DROPDOWN = gradio.Dropdown(
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label = wording.get('uis.face_selector_mode_dropdown'),
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choices = deepfuze.choices.face_selector_modes,
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value = deepfuze.globals.face_selector_mode
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)
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REFERENCE_FACE_POSITION_GALLERY = gradio.Gallery(**reference_face_gallery_args)
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REFERENCE_FACE_DISTANCE_SLIDER = gradio.Slider(
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label = wording.get('uis.reference_face_distance_slider'),
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value = deepfuze.globals.reference_face_distance,
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step = deepfuze.choices.reference_face_distance_range[1] - deepfuze.choices.reference_face_distance_range[0],
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minimum = deepfuze.choices.reference_face_distance_range[0],
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maximum = deepfuze.choices.reference_face_distance_range[-1],
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visible = 'reference' in deepfuze.globals.face_selector_mode
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)
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register_ui_component('face_selector_mode_dropdown', FACE_SELECTOR_MODE_DROPDOWN)
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register_ui_component('reference_face_position_gallery', REFERENCE_FACE_POSITION_GALLERY)
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register_ui_component('reference_face_distance_slider', REFERENCE_FACE_DISTANCE_SLIDER)
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def listen() -> None:
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FACE_SELECTOR_MODE_DROPDOWN.change(update_face_selector_mode, inputs = FACE_SELECTOR_MODE_DROPDOWN, outputs = [ REFERENCE_FACE_POSITION_GALLERY, REFERENCE_FACE_DISTANCE_SLIDER ])
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REFERENCE_FACE_POSITION_GALLERY.select(clear_and_update_reference_face_position)
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REFERENCE_FACE_DISTANCE_SLIDER.release(update_reference_face_distance, inputs = REFERENCE_FACE_DISTANCE_SLIDER)
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for ui_component in get_ui_components(
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[
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'target_image',
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'target_video'
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]):
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for method in [ 'upload', 'change', 'clear' ]:
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getattr(ui_component, method)(update_reference_face_position)
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getattr(ui_component, method)(update_reference_position_gallery, outputs = REFERENCE_FACE_POSITION_GALLERY)
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for ui_component in get_ui_components(
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[
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'face_analyser_order_dropdown',
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'face_analyser_age_dropdown',
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'face_analyser_gender_dropdown'
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]):
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ui_component.change(update_reference_position_gallery, outputs = REFERENCE_FACE_POSITION_GALLERY)
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for ui_component in get_ui_components(
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[
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'face_detector_model_dropdown',
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'face_detector_size_dropdown'
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]):
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ui_component.change(clear_and_update_reference_position_gallery, outputs = REFERENCE_FACE_POSITION_GALLERY)
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for ui_component in get_ui_components(
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[
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'face_detector_score_slider',
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'face_landmarker_score_slider'
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]):
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ui_component.release(clear_and_update_reference_position_gallery, outputs=REFERENCE_FACE_POSITION_GALLERY)
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preview_frame_slider = get_ui_component('preview_frame_slider')
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if preview_frame_slider:
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preview_frame_slider.change(update_reference_frame_number, inputs = preview_frame_slider)
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preview_frame_slider.release(update_reference_position_gallery, outputs = REFERENCE_FACE_POSITION_GALLERY)
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def update_face_selector_mode(face_selector_mode : FaceSelectorMode) -> Tuple[gradio.Gallery, gradio.Slider]:
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if face_selector_mode == 'many':
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deepfuze.globals.face_selector_mode = face_selector_mode
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return gradio.Gallery(visible = False), gradio.Slider(visible = False)
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if face_selector_mode == 'one':
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deepfuze.globals.face_selector_mode = face_selector_mode
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return gradio.Gallery(visible = False), gradio.Slider(visible = False)
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if face_selector_mode == 'reference':
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deepfuze.globals.face_selector_mode = face_selector_mode
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return gradio.Gallery(visible = True), gradio.Slider(visible = True)
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def clear_and_update_reference_face_position(event : gradio.SelectData) -> gradio.Gallery:
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clear_reference_faces()
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clear_static_faces()
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update_reference_face_position(event.index)
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return update_reference_position_gallery()
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def update_reference_face_position(reference_face_position : int = 0) -> None:
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deepfuze.globals.reference_face_position = reference_face_position
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def update_reference_face_distance(reference_face_distance : float) -> None:
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deepfuze.globals.reference_face_distance = reference_face_distance
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def update_reference_frame_number(reference_frame_number : int) -> None:
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deepfuze.globals.reference_frame_number = reference_frame_number
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def clear_and_update_reference_position_gallery() -> gradio.Gallery:
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clear_reference_faces()
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clear_static_faces()
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return update_reference_position_gallery()
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def update_reference_position_gallery() -> gradio.Gallery:
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gallery_vision_frames = []
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if is_image(deepfuze.globals.target_path):
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temp_vision_frame = read_static_image(deepfuze.globals.target_path)
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gallery_vision_frames = extract_gallery_frames(temp_vision_frame)
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if is_video(deepfuze.globals.target_path):
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temp_vision_frame = get_video_frame(deepfuze.globals.target_path, deepfuze.globals.reference_frame_number)
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gallery_vision_frames = extract_gallery_frames(temp_vision_frame)
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if gallery_vision_frames:
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return gradio.Gallery(value = gallery_vision_frames)
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return gradio.Gallery(value = None)
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def extract_gallery_frames(temp_vision_frame : VisionFrame) -> List[VisionFrame]:
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gallery_vision_frames = []
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faces = get_many_faces(temp_vision_frame)
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for face in faces:
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start_x, start_y, end_x, end_y = map(int, face.bounding_box)
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padding_x = int((end_x - start_x) * 0.25)
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padding_y = int((end_y - start_y) * 0.25)
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start_x = max(0, start_x - padding_x)
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start_y = max(0, start_y - padding_y)
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end_x = max(0, end_x + padding_x)
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end_y = max(0, end_y + padding_y)
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crop_vision_frame = temp_vision_frame[start_y:end_y, start_x:end_x]
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crop_vision_frame = normalize_frame_color(crop_vision_frame)
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gallery_vision_frames.append(crop_vision_frame)
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return gallery_vision_frames
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