diff --git a/modules/processors/frame/face_swapper.py b/modules/processors/frame/face_swapper.py index 35a4090..e1209dc 100644 --- a/modules/processors/frame/face_swapper.py +++ b/modules/processors/frame/face_swapper.py @@ -8,29 +8,41 @@ 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.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' +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']) + 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) + 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) + 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) + 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 @@ -40,20 +52,28 @@ def get_face_swapper() -> Any: 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) + 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) + swapped_face = get_face_swapper().get( + temp_frame, target_face, source_face, paste_back=True + ) + + # Apply opacity after swapping + opacity = modules.globals.face_opacity / 100 + return cv2.addWeighted(swapped_face, opacity, temp_frame, 1 - opacity, 0) 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: @@ -71,34 +91,42 @@ def process_frame_v2(temp_frame: Frame, temp_frame_path: str = "") -> Frame: if modules.globals.many_faces: source_face = default_source_face() for map in modules.globals.souce_target_map: - target_face = map['target']['face'] + 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'] + 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] + 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']: + 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'] + 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']: + for target_face in frame["faces"]: temp_frame = swap_face(source_face, target_face, temp_frame) else: detected_faces = get_many_faces(temp_frame) @@ -110,25 +138,46 @@ def process_frame_v2(temp_frame: Frame, temp_frame_path: str = "") -> Frame: elif not modules.globals.many_faces: if detected_faces: - if len(detected_faces) <= len(modules.globals.simple_map['target_embeddings']): + 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) + 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) + 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) + 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) + 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) + 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: +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: @@ -162,7 +211,9 @@ def process_image(source_path: str, target_path: str, output_path: str) -> None: cv2.imwrite(output_path, result) else: if modules.globals.many_faces: - update_status('Many faces enabled. Using first source image. Progressing...', NAME) + 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) @@ -170,5 +221,9 @@ def process_image(source_path: str, target_path: str, output_path: str) -> None: 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) + update_status( + "Many faces enabled. Using first source image. Progressing...", NAME + ) + modules.processors.frame.core.process_video( + source_path, temp_frame_paths, process_frames + )