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from typing import Any, List, Callable
import cv2
import insightface
import threading
import os
import roop.globals
import roop.processors.frame.core
from roop.core import update_status
from roop.face_analyser import get_one_face, get_many_faces, find_similar_face
from roop.face_reference import get_face_reference, set_face_reference, clear_face_reference
from roop.typing import Face, Frame
from roop.utilities import conditional_download, resolve_relative_path, is_image, is_video
FACE_SWAPPER = None
THREAD_LOCK = threading.Lock()
NAME = "ROOP.FACE-SWAPPER"
def get_face_swapper() -> Any:
global FACE_SWAPPER
with THREAD_LOCK:
if FACE_SWAPPER is None:
# Ưu tiên model_path trong globals, fallback sang models mặc định
model_path = (
roop.globals.model_path
if roop.globals.model_path and os.path.exists(roop.globals.model_path)
else resolve_relative_path("../models/inswapper_128.onnx")
)
print(f"[FACE_SWAPPER] Đang tải mô hình face swapper từ: {model_path}")
try:
providers = (
roop.globals.execution_providers
if roop.globals.execution_providers
else ["CPUExecutionProvider"]
)
FACE_SWAPPER = insightface.model_zoo.get_model(
model_path,
providers=providers
)
print(f"[FACE_SWAPPER] Tải mô hình thành công: {model_path} "
f"với nhà cung cấp: {FACE_SWAPPER.session.get_providers()}")
except Exception as e:
print(f"[FACE_SWAPPER] Lỗi khi tải mô hình {model_path}: {str(e)}")
raise
return FACE_SWAPPER
def clear_face_swapper() -> None:
global FACE_SWAPPER
FACE_SWAPPER = None
def pre_check() -> bool:
download_directory_path = resolve_relative_path("../models/inswapper")
conditional_download(
download_directory_path,
["https://huggingface.co/deepinsight/inswapper/resolve/main/inswapper_128.onnx"]
)
return True
def pre_start() -> bool:
if not is_image(roop.globals.source_path):
update_status("Select an image for source path.", NAME)
return False
elif not get_one_face(cv2.imread(roop.globals.source_path)):
update_status("No face in source path detected.", NAME)
return False
if not is_image(roop.globals.target_path) and not is_video(roop.globals.target_path):
update_status("Select an image or video for target path.", NAME)
return False
return True
def post_process() -> None:
clear_face_swapper()
clear_face_reference()
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, reference_face: Face, temp_frame: Frame) -> Frame:
if roop.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 = find_similar_face(temp_frame, reference_face)
if target_face:
temp_frame = swap_face(source_face, target_face, temp_frame)
return temp_frame
def process_frames(source_path: str, temp_frame_paths: List[str], update: Callable[[], None]) -> None:
source_face = get_one_face(cv2.imread(source_path))
reference_face = None if roop.globals.many_faces else get_face_reference()
for temp_frame_path in temp_frame_paths:
temp_frame = cv2.imread(temp_frame_path)
result = process_frame(source_face, reference_face, temp_frame)
cv2.imwrite(temp_frame_path, result)
if update:
update()
def process_image(source_path: str, target_path: str, output_path: str) -> None:
source_face = get_one_face(cv2.imread(source_path))
target_frame = cv2.imread(target_path)
reference_face = None if roop.globals.many_faces else get_one_face(target_frame, roop.globals.reference_face_position)
result = process_frame(source_face, reference_face, target_frame)
cv2.imwrite(output_path, result)
def process_video(source_path: str, temp_frame_paths: List[str]) -> None:
if not roop.globals.many_faces and not get_face_reference():
reference_frame = cv2.imread(temp_frame_paths[roop.globals.reference_frame_number])
reference_face = get_one_face(reference_frame, roop.globals.reference_face_position)
set_face_reference(reference_face)
roop.processors.frame.core.process_video(source_path, temp_frame_paths, process_frames)
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