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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)
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