Spaces:
Sleeping
Sleeping
from typing import Any, List, Callable | |
import cv2 | |
import insightface | |
import threading | |
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: | |
model_path = resolve_relative_path('../models/inswapper_128.onnx') | |
FACE_SWAPPER = insightface.model_zoo.get_model(model_path, providers=roop.globals.execution_providers) | |
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') | |
conditional_download(download_directory_path, ['https://huggingface.co/CountFloyd/deepfake/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) | |