from typing import Any, List
import cv2
import insightface
import threading
import numpy as np
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,
is_image,
is_video,
)
from modules.cluster_analysis import find_closest_centroid
from modules.processors.frame.face_masking import (
create_face_mask,
create_lower_mouth_mask,
create_eyes_mask,
create_eyebrows_mask,
apply_mask_area,
draw_mask_visualization
)
import os
FACE_SWAPPER = None
THREAD_LOCK = threading.Lock()
NAME = "DLC.FACE-SWAPPER"
abs_dir = os.path.dirname(os.path.abspath(__file__))
models_dir = os.path.join(
os.path.dirname(os.path.dirname(os.path.dirname(abs_dir))), "models"
)
def pre_check() -> bool:
download_directory_path = abs_dir
conditional_download(
download_directory_path,
[
"https://huggingface.co/hacksider/deep-live-cam/blob/main/inswapper_128_fp16.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 = os.path.join(models_dir, "inswapper_128_fp16.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:
face_swapper = get_face_swapper()
# Apply the face swap
swapped_frame = face_swapper.get(
temp_frame, target_face, source_face, paste_back=True
)
# Create face mask for both mouth and eyes masking
face_mask = create_face_mask(target_face, temp_frame)
if modules.globals.mouth_mask:
# Create and apply mouth mask
mouth_mask_data = create_lower_mouth_mask(target_face, temp_frame)
swapped_frame = apply_mask_area(
swapped_frame,
mouth_mask_data[1], # mouth_cutout
mouth_mask_data[2], # mouth_box
face_mask,
mouth_mask_data[3] # mouth_polygon
)
if modules.globals.show_mouth_mask_box:
swapped_frame = draw_mask_visualization(
swapped_frame,
mouth_mask_data,
"Lower Mouth Mask"
)
if modules.globals.eyes_mask:
# Create and apply eyes mask
eyes_mask_data = create_eyes_mask(target_face, temp_frame)
swapped_frame = apply_mask_area(
swapped_frame,
eyes_mask_data[1], # eyes_cutout
eyes_mask_data[2], # eyes_box
face_mask,
eyes_mask_data[3] # eyes_polygon
)
if modules.globals.show_eyes_mask_box:
swapped_frame = draw_mask_visualization(
swapped_frame,
eyes_mask_data,
"Eyes Mask",
draw_method="ellipse"
)
if modules.globals.eyebrows_mask:
# Create and apply eyebrows mask
eyebrows_mask_data = create_eyebrows_mask(target_face, temp_frame)
swapped_frame = apply_mask_area(
swapped_frame,
eyebrows_mask_data[1], # eyebrows_cutout
eyebrows_mask_data[2], # eyebrows_box
face_mask,
eyebrows_mask_data[3] # eyebrows_polygon
)
if modules.globals.show_eyebrows_mask_box:
swapped_frame = draw_mask_visualization(
swapped_frame,
eyebrows_mask_data,
"Eyebrows Mask"
)
return swapped_frame
def process_frame(source_face: Face, temp_frame: Frame) -> Frame:
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
)