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| from typing import Any, List | |
| import cv2 | |
| import insightface | |
| import threading | |
| import modules.globals | |
| import modules.processors.frame.core | |
| from modules.core import update_status | |
| from modules.face_analyser import get_one_face, get_many_faces, default_source_face | |
| from modules.typing import Face, Frame | |
| from modules.utilities import conditional_download, resolve_relative_path, is_image, is_video | |
| from modules.cluster_analysis import find_closest_centroid | |
| FACE_SWAPPER = None | |
| THREAD_LOCK = threading.Lock() | |
| NAME = 'DLC.FACE-SWAPPER' | |
| def pre_check() -> bool: | |
| download_directory_path = resolve_relative_path('../models') | |
| conditional_download(download_directory_path, ['https://huggingface.co/hacksider/deep-live-cam/blob/main/inswapper_128.onnx']) | |
| return True | |
| def pre_start() -> bool: | |
| if not modules.globals.map_faces and not is_image(modules.globals.source_path): | |
| update_status('Select an image for source path.', NAME) | |
| return False | |
| elif not modules.globals.map_faces and not get_one_face(cv2.imread(modules.globals.source_path)): | |
| update_status('No face in source path detected.', NAME) | |
| return False | |
| if not is_image(modules.globals.target_path) and not is_video(modules.globals.target_path): | |
| update_status('Select an image or video for target path.', NAME) | |
| return False | |
| return True | |
| def get_face_swapper() -> Any: | |
| global FACE_SWAPPER | |
| with THREAD_LOCK: | |
| if FACE_SWAPPER is None: | |
| model_path = resolve_relative_path('../models/inswapper_128.onnx') | |
| FACE_SWAPPER = insightface.model_zoo.get_model(model_path, providers=modules.globals.execution_providers) | |
| return FACE_SWAPPER | |
| def swap_face(source_face: Face, target_face: Face, temp_frame: Frame) -> Frame: | |
| return get_face_swapper().get(temp_frame, target_face, source_face, paste_back=True) | |
| def process_frame(source_face: Face, temp_frame: Frame) -> Frame: | |
| # Ensure the frame is in RGB format if color correction is enabled | |
| if modules.globals.color_correction: | |
| temp_frame = cv2.cvtColor(temp_frame, cv2.COLOR_BGR2RGB) | |
| if modules.globals.many_faces: | |
| 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) | |
| else: | |
| target_face = get_one_face(temp_frame) | |
| if target_face: | |
| temp_frame = swap_face(source_face, target_face, temp_frame) | |
| return temp_frame | |
| def process_frame_v2(temp_frame: Frame, temp_frame_path: str = "") -> Frame: | |
| if is_image(modules.globals.target_path): | |
| if modules.globals.many_faces: | |
| source_face = default_source_face() | |
| for map in modules.globals.souce_target_map: | |
| target_face = map['target']['face'] | |
| temp_frame = swap_face(source_face, target_face, temp_frame) | |
| elif not modules.globals.many_faces: | |
| for map in modules.globals.souce_target_map: | |
| if "source" in map: | |
| source_face = map['source']['face'] | |
| target_face = map['target']['face'] | |
| temp_frame = swap_face(source_face, target_face, temp_frame) | |
| elif is_video(modules.globals.target_path): | |
| if modules.globals.many_faces: | |
| source_face = default_source_face() | |
| for map in modules.globals.souce_target_map: | |
| target_frame = [f for f in map['target_faces_in_frame'] if f['location'] == temp_frame_path] | |
| for frame in target_frame: | |
| for target_face in frame['faces']: | |
| temp_frame = swap_face(source_face, target_face, temp_frame) | |
| elif not modules.globals.many_faces: | |
| for map in modules.globals.souce_target_map: | |
| if "source" in map: | |
| target_frame = [f for f in map['target_faces_in_frame'] if f['location'] == temp_frame_path] | |
| source_face = map['source']['face'] | |
| for frame in target_frame: | |
| for target_face in frame['faces']: | |
| temp_frame = swap_face(source_face, target_face, temp_frame) | |
| else: | |
| detected_faces = get_many_faces(temp_frame) | |
| if modules.globals.many_faces: | |
| if detected_faces: | |
| source_face = default_source_face() | |
| for target_face in detected_faces: | |
| temp_frame = swap_face(source_face, target_face, temp_frame) | |
| elif not modules.globals.many_faces: | |
| if detected_faces: | |
| if len(detected_faces) <= len(modules.globals.simple_map['target_embeddings']): | |
| for detected_face in detected_faces: | |
| closest_centroid_index, _ = find_closest_centroid(modules.globals.simple_map['target_embeddings'], detected_face.normed_embedding) | |
| temp_frame = swap_face(modules.globals.simple_map['source_faces'][closest_centroid_index], detected_face, temp_frame) | |
| else: | |
| detected_faces_centroids = [] | |
| for face in detected_faces: | |
| detected_faces_centroids.append(face.normed_embedding) | |
| i = 0 | |
| for target_embedding in modules.globals.simple_map['target_embeddings']: | |
| closest_centroid_index, _ = find_closest_centroid(detected_faces_centroids, target_embedding) | |
| temp_frame = swap_face(modules.globals.simple_map['source_faces'][i], detected_faces[closest_centroid_index], temp_frame) | |
| i += 1 | |
| return temp_frame | |
| def process_frames(source_path: str, temp_frame_paths: List[str], progress: Any = None) -> None: | |
| if not modules.globals.map_faces: | |
| source_face = get_one_face(cv2.imread(source_path)) | |
| for temp_frame_path in temp_frame_paths: | |
| temp_frame = cv2.imread(temp_frame_path) | |
| try: | |
| result = process_frame(source_face, temp_frame) | |
| cv2.imwrite(temp_frame_path, result) | |
| except Exception as exception: | |
| print(exception) | |
| pass | |
| if progress: | |
| progress.update(1) | |
| else: | |
| for temp_frame_path in temp_frame_paths: | |
| temp_frame = cv2.imread(temp_frame_path) | |
| try: | |
| result = process_frame_v2(temp_frame, temp_frame_path) | |
| cv2.imwrite(temp_frame_path, result) | |
| except Exception as exception: | |
| print(exception) | |
| pass | |
| if progress: | |
| progress.update(1) | |
| def process_image(source_path: str, target_path: str, output_path: str) -> None: | |
| if not modules.globals.map_faces: | |
| source_face = get_one_face(cv2.imread(source_path)) | |
| target_frame = cv2.imread(target_path) | |
| result = process_frame(source_face, target_frame) | |
| cv2.imwrite(output_path, result) | |
| else: | |
| if modules.globals.many_faces: | |
| update_status('Many faces enabled. Using first source image. Progressing...', NAME) | |
| target_frame = cv2.imread(output_path) | |
| result = process_frame_v2(target_frame) | |
| cv2.imwrite(output_path, result) | |
| def process_video(source_path: str, temp_frame_paths: List[str]) -> None: | |
| if modules.globals.map_faces and modules.globals.many_faces: | |
| update_status('Many faces enabled. Using first source image. Progressing...', NAME) | |
| modules.processors.frame.core.process_video(source_path, temp_frame_paths, process_frames) | |