File size: 3,081 Bytes
3e8dd94 fcfd44c 3e8dd94 fd99d07 3e8dd94 fcfd44c 3e8dd94 fcfd44c 3e8dd94 fcfd44c 3e8dd94 fcfd44c 3e8dd94 fcfd44c 3e8dd94 fcfd44c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 |
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
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 pre_check() -> bool:
download_directory_path = resolve_relative_path('../models')
conditional_download(download_directory_path, ['https://huggingface.co/Apex-X/inswapper_128.onnx/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:
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) |