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from typing import Any, List, Callable |
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import cv2 |
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import insightface |
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import threading |
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import roop.globals |
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import roop.processors.frame.core |
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from roop.core import update_status |
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from roop.face_analyser import get_one_face, get_many_faces |
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from roop.typing import Face, Frame |
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from roop.utilities import conditional_download, resolve_relative_path, is_image, is_video |
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FACE_SWAPPER = None |
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THREAD_LOCK = threading.Lock() |
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NAME = 'ROOP.FACE-SWAPPER' |
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def get_face_swapper() -> Any: |
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global FACE_SWAPPER |
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with THREAD_LOCK: |
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if FACE_SWAPPER is None: |
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model_path = resolve_relative_path('../models/inswapper_128.onnx') |
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FACE_SWAPPER = insightface.model_zoo.get_model(model_path, providers=roop.globals.execution_providers) |
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return FACE_SWAPPER |
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def pre_check() -> bool: |
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download_directory_path = resolve_relative_path('../models') |
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conditional_download(download_directory_path, ['https://huggingface.co/talhaty/inswapper128/resolve/main/inswapper_128.onnx']) |
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return True |
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def pre_start() -> bool: |
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if not is_image(roop.globals.source_path): |
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update_status('Select an image for source path.', NAME) |
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return False |
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elif not get_one_face(cv2.imread(roop.globals.source_path)): |
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update_status('No face in source path detected.', NAME) |
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return False |
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if not is_image(roop.globals.target_path) and not is_video(roop.globals.target_path): |
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update_status('Select an image or video for target path.', NAME) |
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return False |
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return True |
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def post_process() -> None: |
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global FACE_SWAPPER |
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FACE_SWAPPER = None |
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def swap_face(source_face: Face, target_face: Face, temp_frame: Frame) -> Frame: |
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return get_face_swapper().get(temp_frame, target_face, source_face, paste_back=True) |
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def process_frame(source_face: Face, temp_frame: Frame) -> Frame: |
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if roop.globals.many_faces: |
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many_faces = get_many_faces(temp_frame) |
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if many_faces: |
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for target_face in many_faces: |
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temp_frame = swap_face(source_face, target_face, temp_frame) |
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else: |
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target_face = get_one_face(temp_frame) |
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if target_face: |
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temp_frame = swap_face(source_face, target_face, temp_frame) |
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return temp_frame |
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def process_frames(source_path: str, temp_frame_paths: List[str], update: Callable[[], None]) -> None: |
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source_face = get_one_face(cv2.imread(source_path)) |
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for temp_frame_path in temp_frame_paths: |
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temp_frame = cv2.imread(temp_frame_path) |
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result = process_frame(source_face, temp_frame) |
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cv2.imwrite(temp_frame_path, result) |
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if update: |
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update() |
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def process_image(source_path: str, target_path: str, output_path: str) -> None: |
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source_face = get_one_face(cv2.imread(source_path)) |
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target_frame = cv2.imread(target_path) |
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result = process_frame(source_face, target_frame) |
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cv2.imwrite(output_path, result) |
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def process_video(source_path: str, temp_frame_paths: List[str]) -> None: |
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roop.processors.frame.core.process_video(source_path, temp_frame_paths, process_frames) |
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