Update face_swapper.py
KRSHH
GitHub
parent
91d9f8a536
commit
b6d6cfa2ee
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@ -8,29 +8,41 @@ import modules.processors.frame.core
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from modules.core import update_status
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from modules.face_analyser import get_one_face, get_many_faces, default_source_face
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from modules.typing import Face, Frame
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from modules.utilities import conditional_download, resolve_relative_path, is_image, is_video
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from modules.utilities import (
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conditional_download,
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resolve_relative_path,
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is_image,
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is_video,
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)
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from modules.cluster_analysis import find_closest_centroid
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FACE_SWAPPER = None
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THREAD_LOCK = threading.Lock()
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NAME = 'DLC.FACE-SWAPPER'
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NAME = "DLC.FACE-SWAPPER"
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def pre_check() -> bool:
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download_directory_path = resolve_relative_path('../models')
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conditional_download(download_directory_path, ['https://huggingface.co/hacksider/deep-live-cam/blob/main/inswapper_128.onnx'])
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download_directory_path = resolve_relative_path("../models")
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conditional_download(
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download_directory_path,
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["https://huggingface.co/hacksider/deep-live-cam/blob/main/inswapper_128.onnx"],
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)
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return True
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def pre_start() -> bool:
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if not modules.globals.map_faces and not is_image(modules.globals.source_path):
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update_status('Select an image for source path.', NAME)
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update_status("Select an image for source path.", NAME)
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return False
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elif not modules.globals.map_faces and not get_one_face(cv2.imread(modules.globals.source_path)):
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update_status('No face in source path detected.', NAME)
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elif not modules.globals.map_faces and not get_one_face(
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cv2.imread(modules.globals.source_path)
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):
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update_status("No face in source path detected.", NAME)
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return False
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if not is_image(modules.globals.target_path) and not is_video(modules.globals.target_path):
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update_status('Select an image or video for target path.', NAME)
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if not is_image(modules.globals.target_path) and not is_video(
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modules.globals.target_path
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):
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update_status("Select an image or video for target path.", NAME)
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return False
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return True
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@ -40,20 +52,28 @@ def get_face_swapper() -> Any:
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with THREAD_LOCK:
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if FACE_SWAPPER is None:
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model_path = resolve_relative_path('../models/inswapper_128.onnx')
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FACE_SWAPPER = insightface.model_zoo.get_model(model_path, providers=modules.globals.execution_providers)
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model_path = resolve_relative_path("../models/inswapper_128.onnx")
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FACE_SWAPPER = insightface.model_zoo.get_model(
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model_path, providers=modules.globals.execution_providers
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)
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return FACE_SWAPPER
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def swap_face(source_face: Face, target_face: Face, temp_frame: Frame) -> Frame:
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return get_face_swapper().get(temp_frame, target_face, source_face, paste_back=True)
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swapped_face = get_face_swapper().get(
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temp_frame, target_face, source_face, paste_back=True
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)
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# Apply opacity after swapping
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opacity = modules.globals.face_opacity / 100
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return cv2.addWeighted(swapped_face, opacity, temp_frame, 1 - opacity, 0)
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def process_frame(source_face: Face, temp_frame: Frame) -> Frame:
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# Ensure the frame is in RGB format if color correction is enabled
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if modules.globals.color_correction:
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temp_frame = cv2.cvtColor(temp_frame, cv2.COLOR_BGR2RGB)
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if modules.globals.many_faces:
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many_faces = get_many_faces(temp_frame)
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if many_faces:
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@ -71,34 +91,42 @@ def process_frame_v2(temp_frame: Frame, temp_frame_path: str = "") -> Frame:
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if modules.globals.many_faces:
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source_face = default_source_face()
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for map in modules.globals.souce_target_map:
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target_face = map['target']['face']
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target_face = map["target"]["face"]
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temp_frame = swap_face(source_face, target_face, temp_frame)
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elif not modules.globals.many_faces:
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for map in modules.globals.souce_target_map:
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if "source" in map:
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source_face = map['source']['face']
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target_face = map['target']['face']
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source_face = map["source"]["face"]
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target_face = map["target"]["face"]
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temp_frame = swap_face(source_face, target_face, temp_frame)
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elif is_video(modules.globals.target_path):
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if modules.globals.many_faces:
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source_face = default_source_face()
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for map in modules.globals.souce_target_map:
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target_frame = [f for f in map['target_faces_in_frame'] if f['location'] == temp_frame_path]
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target_frame = [
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f
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for f in map["target_faces_in_frame"]
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if f["location"] == temp_frame_path
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]
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for frame in target_frame:
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for target_face in frame['faces']:
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for target_face in frame["faces"]:
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temp_frame = swap_face(source_face, target_face, temp_frame)
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elif not modules.globals.many_faces:
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for map in modules.globals.souce_target_map:
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if "source" in map:
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target_frame = [f for f in map['target_faces_in_frame'] if f['location'] == temp_frame_path]
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source_face = map['source']['face']
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target_frame = [
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f
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for f in map["target_faces_in_frame"]
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if f["location"] == temp_frame_path
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]
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source_face = map["source"]["face"]
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for frame in target_frame:
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for target_face in frame['faces']:
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for target_face in frame["faces"]:
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temp_frame = swap_face(source_face, target_face, temp_frame)
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else:
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detected_faces = get_many_faces(temp_frame)
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@ -110,25 +138,46 @@ def process_frame_v2(temp_frame: Frame, temp_frame_path: str = "") -> Frame:
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elif not modules.globals.many_faces:
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if detected_faces:
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if len(detected_faces) <= len(modules.globals.simple_map['target_embeddings']):
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if len(detected_faces) <= len(
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modules.globals.simple_map["target_embeddings"]
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):
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for detected_face in detected_faces:
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closest_centroid_index, _ = find_closest_centroid(modules.globals.simple_map['target_embeddings'], detected_face.normed_embedding)
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closest_centroid_index, _ = find_closest_centroid(
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modules.globals.simple_map["target_embeddings"],
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detected_face.normed_embedding,
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)
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temp_frame = swap_face(modules.globals.simple_map['source_faces'][closest_centroid_index], detected_face, temp_frame)
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temp_frame = swap_face(
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modules.globals.simple_map["source_faces"][
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closest_centroid_index
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],
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detected_face,
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temp_frame,
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)
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else:
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detected_faces_centroids = []
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for face in detected_faces:
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detected_faces_centroids.append(face.normed_embedding)
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detected_faces_centroids.append(face.normed_embedding)
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i = 0
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for target_embedding in modules.globals.simple_map['target_embeddings']:
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closest_centroid_index, _ = find_closest_centroid(detected_faces_centroids, target_embedding)
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for target_embedding in modules.globals.simple_map[
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"target_embeddings"
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]:
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closest_centroid_index, _ = find_closest_centroid(
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detected_faces_centroids, target_embedding
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)
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temp_frame = swap_face(modules.globals.simple_map['source_faces'][i], detected_faces[closest_centroid_index], temp_frame)
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temp_frame = swap_face(
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modules.globals.simple_map["source_faces"][i],
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detected_faces[closest_centroid_index],
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temp_frame,
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)
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i += 1
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return temp_frame
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def process_frames(source_path: str, temp_frame_paths: List[str], progress: Any = None) -> None:
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def process_frames(
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source_path: str, temp_frame_paths: List[str], progress: Any = None
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) -> None:
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if not modules.globals.map_faces:
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source_face = get_one_face(cv2.imread(source_path))
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for temp_frame_path in temp_frame_paths:
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@ -162,7 +211,9 @@ def process_image(source_path: str, target_path: str, output_path: str) -> None:
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cv2.imwrite(output_path, result)
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else:
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if modules.globals.many_faces:
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update_status('Many faces enabled. Using first source image. Progressing...', NAME)
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update_status(
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"Many faces enabled. Using first source image. Progressing...", NAME
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)
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target_frame = cv2.imread(output_path)
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result = process_frame_v2(target_frame)
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cv2.imwrite(output_path, result)
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@ -170,5 +221,9 @@ def process_image(source_path: str, target_path: str, output_path: str) -> None:
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def process_video(source_path: str, temp_frame_paths: List[str]) -> None:
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if modules.globals.map_faces and modules.globals.many_faces:
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update_status('Many faces enabled. Using first source image. Progressing...', NAME)
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modules.processors.frame.core.process_video(source_path, temp_frame_paths, process_frames)
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update_status(
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"Many faces enabled. Using first source image. Progressing...", NAME
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)
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modules.processors.frame.core.process_video(
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source_path, temp_frame_paths, process_frames
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)
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