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Deep-Live-Cam
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Update face_swapper.py

KRSHH 2024-10-03 18:33:57 +05:30 committed by GitHub
parent 91d9f8a536
commit b6d6cfa2ee
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1 changed files with 87 additions and 32 deletions
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modules/processors/frame/face_swapper.py
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@ -8,29 +8,41 @@ import modules.processors.frame.core
from modules.core import update_status from modules.core import update_status
from modules.face_analyser import get_one_face, get_many_faces, default_source_face from modules.face_analyser import get_one_face, get_many_faces, default_source_face
from modules.typing import Face, Frame 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 from modules.cluster_analysis import find_closest_centroid
FACE_SWAPPER = None FACE_SWAPPER = None
THREAD_LOCK = threading.Lock() THREAD_LOCK = threading.Lock()
NAME = 'DLC.FACE-SWAPPER' NAME = "DLC.FACE-SWAPPER"
def pre_check() -> bool: def pre_check() -> bool:
download_directory_path = resolve_relative_path('../models') download_directory_path = resolve_relative_path("../models")
conditional_download(download_directory_path, ['https://huggingface.co/hacksider/deep-live-cam/blob/main/inswapper_128.onnx']) conditional_download(
download_directory_path,
["https://huggingface.co/hacksider/deep-live-cam/blob/main/inswapper_128.onnx"],
)
return True return True
def pre_start() -> bool: def pre_start() -> bool:
if not modules.globals.map_faces and not is_image(modules.globals.source_path): 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 return False
elif not modules.globals.map_faces and not get_one_face(cv2.imread(modules.globals.source_path)): elif not modules.globals.map_faces and not get_one_face(
update_status('No face in source path detected.', NAME) cv2.imread(modules.globals.source_path)
):
update_status("No face in source path detected.", NAME)
return False return False
if not is_image(modules.globals.target_path) and not is_video(modules.globals.target_path): if not is_image(modules.globals.target_path) and not is_video(
update_status('Select an image or video for target path.', NAME) modules.globals.target_path
):
update_status("Select an image or video for target path.", NAME)
return False return False
return True return True
@ -40,20 +52,28 @@ def get_face_swapper() -> Any:
with THREAD_LOCK: with THREAD_LOCK:
if FACE_SWAPPER is None: if FACE_SWAPPER is None:
model_path = resolve_relative_path('../models/inswapper_128.onnx') model_path = resolve_relative_path("../models/inswapper_128.onnx")
FACE_SWAPPER = insightface.model_zoo.get_model(model_path, providers=modules.globals.execution_providers) FACE_SWAPPER = insightface.model_zoo.get_model(
model_path, providers=modules.globals.execution_providers
)
return FACE_SWAPPER return FACE_SWAPPER
def swap_face(source_face: Face, target_face: Face, temp_frame: Frame) -> Frame: 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: def process_frame(source_face: Face, temp_frame: Frame) -> Frame:
# Ensure the frame is in RGB format if color correction is enabled # Ensure the frame is in RGB format if color correction is enabled
if modules.globals.color_correction: if modules.globals.color_correction:
temp_frame = cv2.cvtColor(temp_frame, cv2.COLOR_BGR2RGB) temp_frame = cv2.cvtColor(temp_frame, cv2.COLOR_BGR2RGB)
if modules.globals.many_faces: if modules.globals.many_faces:
many_faces = get_many_faces(temp_frame) many_faces = get_many_faces(temp_frame)
if many_faces: if many_faces:
@ -71,34 +91,42 @@ def process_frame_v2(temp_frame: Frame, temp_frame_path: str = "") -> Frame:
if modules.globals.many_faces: if modules.globals.many_faces:
source_face = default_source_face() source_face = default_source_face()
for map in modules.globals.souce_target_map: 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) temp_frame = swap_face(source_face, target_face, temp_frame)
elif not modules.globals.many_faces: elif not modules.globals.many_faces:
for map in modules.globals.souce_target_map: for map in modules.globals.souce_target_map:
if "source" in map: if "source" in map:
source_face = map['source']['face'] source_face = map["source"]["face"]
target_face = map['target']['face'] target_face = map["target"]["face"]
temp_frame = swap_face(source_face, target_face, temp_frame) temp_frame = swap_face(source_face, target_face, temp_frame)
elif is_video(modules.globals.target_path): elif is_video(modules.globals.target_path):
if modules.globals.many_faces: if modules.globals.many_faces:
source_face = default_source_face() source_face = default_source_face()
for map in modules.globals.souce_target_map: 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 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) temp_frame = swap_face(source_face, target_face, temp_frame)
elif not modules.globals.many_faces: elif not modules.globals.many_faces:
for map in modules.globals.souce_target_map: for map in modules.globals.souce_target_map:
if "source" in map: if "source" in map:
target_frame = [f for f in map['target_faces_in_frame'] if f['location'] == temp_frame_path] target_frame = [
source_face = map['source']['face'] 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 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) temp_frame = swap_face(source_face, target_face, temp_frame)
else: else:
detected_faces = get_many_faces(temp_frame) 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: elif not modules.globals.many_faces:
if detected_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: 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: else:
detected_faces_centroids = [] detected_faces_centroids = []
for face in detected_faces: for face in detected_faces:
detected_faces_centroids.append(face.normed_embedding) detected_faces_centroids.append(face.normed_embedding)
i = 0 i = 0
for target_embedding in modules.globals.simple_map['target_embeddings']: for target_embedding in modules.globals.simple_map[
closest_centroid_index, _ = find_closest_centroid(detected_faces_centroids, target_embedding) "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 i += 1
return temp_frame 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: if not modules.globals.map_faces:
source_face = get_one_face(cv2.imread(source_path)) source_face = get_one_face(cv2.imread(source_path))
for temp_frame_path in temp_frame_paths: 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) cv2.imwrite(output_path, result)
else: else:
if modules.globals.many_faces: 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) target_frame = cv2.imread(output_path)
result = process_frame_v2(target_frame) result = process_frame_v2(target_frame)
cv2.imwrite(output_path, result) 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: def process_video(source_path: str, temp_frame_paths: List[str]) -> None:
if modules.globals.map_faces and modules.globals.many_faces: if modules.globals.map_faces and modules.globals.many_faces:
update_status('Many faces enabled. Using first source image. Progressing...', NAME) update_status(
modules.processors.frame.core.process_video(source_path, temp_frame_paths, process_frames) "Many faces enabled. Using first source image. Progressing...", NAME
)
modules.processors.frame.core.process_video(
source_path, temp_frame_paths, process_frames
)