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Remove everything source face related from enhancer
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4a04d2a66a
commit
912e3c5391
@ -6,7 +6,7 @@ import gfpgan
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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.face_analyser import get_one_face
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from roop.utilities import conditional_download, resolve_relative_path, is_image, is_video
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FACE_ENHANCER = None
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@ -35,53 +35,40 @@ def get_face_enhancer() -> None:
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if FACE_ENHANCER is None:
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model_path = resolve_relative_path('../models/GFPGANv1.3.pth')
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# todo: set models path https://github.com/TencentARC/GFPGAN/issues/399
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FACE_ENHANCER = gfpgan.GFPGANer(
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model_path=model_path,
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channel_multiplier=2
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)
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FACE_ENHANCER = gfpgan.GFPGANer(model_path=model_path)
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return FACE_ENHANCER
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def enhance_face(source_face: Any, target_face: Any, temp_frame: Any) -> Any:
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THREAD_SEMAPHORE.acquire()
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if target_face:
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def enhance_face(temp_frame: Any) -> Any:
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with THREAD_SEMAPHORE:
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_, _, temp_frame = get_face_enhancer().enhance(
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temp_frame,
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paste_back=True
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)
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THREAD_SEMAPHORE.release()
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return temp_frame
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def process_frame(source_face: Any, temp_frame: Any) -> Any:
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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 = enhance_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 = enhance_face(source_face, target_face, temp_frame)
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target_face = get_one_face(temp_frame)
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if target_face:
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temp_frame = enhance_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], progress=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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result = process_frame(None, temp_frame)
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cv2.imwrite(temp_frame_path, result)
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if progress:
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progress.update(1)
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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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result = process_frame(None, 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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roop.processors.frame.core.process_video(None, temp_frame_paths, process_frames)
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@ -44,9 +44,7 @@ def get_face_swapper() -> None:
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def swap_face(source_face: Any, target_face: Any, temp_frame: Any) -> Any:
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if target_face:
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return get_face_swapper().get(temp_frame, target_face, source_face, paste_back=True)
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return temp_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: Any, temp_frame: Any) -> Any:
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