from typing import Any, List, Callable import cv2 import insightface import threading import DeepFakeAI.globals import DeepFakeAI.processors.frame.core as frame_processors from DeepFakeAI import wording from DeepFakeAI.core import update_status from DeepFakeAI.face_analyser import get_one_face, get_many_faces, find_similar_faces from DeepFakeAI.face_reference import get_face_reference, set_face_reference from DeepFakeAI.typing import Face, Frame from DeepFakeAI.utilities import conditional_download, resolve_relative_path, is_image, is_video FRAME_PROCESSOR = None THREAD_LOCK = threading.Lock() NAME = 'FACEFUSION.FRAME_PROCESSOR.FACE_SWAPPER' def get_frame_processor() -> Any: global FRAME_PROCESSOR with THREAD_LOCK: if FRAME_PROCESSOR is None: model_path = resolve_relative_path('../.assets/models/inswapper_128.onnx') FRAME_PROCESSOR = insightface.model_zoo.get_model(model_path, providers = DeepFakeAI.globals.execution_providers) return FRAME_PROCESSOR def clear_frame_processor() -> None: global FRAME_PROCESSOR FRAME_PROCESSOR = None def pre_check() -> bool: download_directory_path = resolve_relative_path('../.assets/models') conditional_download(download_directory_path, ['https://github.com/DeepFakeAI/DeepFakeAI-assets/releases/download/models/inswapper_128.onnx']) return True def pre_process() -> bool: if not is_image(DeepFakeAI.globals.source_path): update_status(wording.get('select_image_source') + wording.get('exclamation_mark'), NAME) return False elif not get_one_face(cv2.imread(DeepFakeAI.globals.source_path)): update_status(wording.get('no_source_face_detected') + wording.get('exclamation_mark'), NAME) return False if not is_image(DeepFakeAI.globals.target_path) and not is_video(DeepFakeAI.globals.target_path): update_status(wording.get('select_image_or_video_target') + wording.get('exclamation_mark'), NAME) return False return True def post_process() -> None: clear_frame_processor() def swap_face(source_face : Face, target_face : Face, temp_frame : Frame) -> Frame: return get_frame_processor().get(temp_frame, target_face, source_face, paste_back = True) def process_frame(source_face : Face, reference_face : Face, temp_frame : Frame) -> Frame: if 'reference' in DeepFakeAI.globals.face_recognition: similar_faces = find_similar_faces(temp_frame, reference_face, DeepFakeAI.globals.reference_face_distance) if similar_faces: for similar_face in similar_faces: temp_frame = swap_face(source_face, similar_face, temp_frame) if 'many' in DeepFakeAI.globals.face_recognition: many_faces = get_many_faces(temp_frame) if many_faces: for target_face in many_faces: temp_frame = swap_face(source_face, target_face, temp_frame) return temp_frame def process_frames(source_path : str, temp_frame_paths : List[str], update: Callable[[], None]) -> None: source_face = get_one_face(cv2.imread(source_path)) reference_face = get_face_reference() if 'reference' in DeepFakeAI.globals.face_recognition else None for temp_frame_path in temp_frame_paths: temp_frame = cv2.imread(temp_frame_path) result_frame = process_frame(source_face, reference_face, temp_frame) cv2.imwrite(temp_frame_path, result_frame) if update: update() def process_image(source_path : str, target_path : str, output_path : str) -> None: source_face = get_one_face(cv2.imread(source_path)) target_frame = cv2.imread(target_path) reference_face = get_one_face(target_frame, DeepFakeAI.globals.reference_face_position) if 'reference' in DeepFakeAI.globals.face_recognition else None result_frame = process_frame(source_face, reference_face, target_frame) cv2.imwrite(output_path, result_frame) def process_video(source_path : str, temp_frame_paths : List[str]) -> None: conditional_set_face_reference(temp_frame_paths) frame_processors.process_video(source_path, temp_frame_paths, process_frames) def conditional_set_face_reference(temp_frame_paths : List[str]) -> None: if 'reference' in DeepFakeAI.globals.face_recognition and not get_face_reference(): reference_frame = cv2.imread(temp_frame_paths[DeepFakeAI.globals.reference_frame_number]) reference_face = get_one_face(reference_frame, DeepFakeAI.globals.reference_face_position) set_face_reference(reference_face)