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from typing import Any, List, Callable
import cv2
import insightface
import threading
from huggingface_hub import hf_hub_download # Thêm import này
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
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'
frame_name = 'face_swapper'
# Thay 'your_token' bằng token mà bạn đã sao chép
token = os.getenv('HF_TOKEN')
def get_face_swapper() -> Any:
global FACE_SWAPPER
with THREAD_LOCK:
if FACE_SWAPPER is None:
# Tải model từ Hugging Face Hub với filename
filename = "inswapper_128.fp16.onnx" # Thay thế bằng tên tệp chính xác
model_path = hf_hub_download(repo_id="Arrcttacsrks/inswapper_128", filename=filename, token=token)
FACE_SWAPPER = insightface.model_zoo.get_model(model_path, providers=roop.globals.execution_providers)
return FACE_SWAPPER
def pre_check() -> bool:
download_directory_path = resolve_relative_path('../models')
# Không cần điều kiện download nữa vì đã tải mô hình trực tiếp từ Hugging Face Hub
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:
global FACE_SWAPPER
FACE_SWAPPER = None
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:
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 = get_one_face(temp_frame)
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))
for temp_frame_path in temp_frame_paths:
temp_frame = cv2.imread(temp_frame_path)
result = process_frame(source_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)
result = process_frame(source_face, target_frame)
cv2.imwrite(output_path, result)
def process_video(source_path: str, temp_frame_paths: List[str]) -> None:
roop.processors.frame.core.process_video(source_path, temp_frame_paths, process_frames)
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