vnyash
49 lines
1.2 KiB
Python
49 lines
1.2 KiB
Python
from typing import Optional, List
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import hashlib
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import numpy
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from deepfuze.typing import VisionFrame, Face, FaceStore, FaceSet
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FACE_STORE: FaceStore =\
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{
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'static_faces': {},
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'reference_faces': {}
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}
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def get_static_faces(vision_frame : VisionFrame) -> Optional[List[Face]]:
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frame_hash = create_frame_hash(vision_frame)
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if frame_hash in FACE_STORE['static_faces']:
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return FACE_STORE['static_faces'][frame_hash]
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return None
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def set_static_faces(vision_frame : VisionFrame, faces : List[Face]) -> None:
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frame_hash = create_frame_hash(vision_frame)
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if frame_hash:
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FACE_STORE['static_faces'][frame_hash] = faces
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def clear_static_faces() -> None:
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FACE_STORE['static_faces'] = {}
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def create_frame_hash(vision_frame : VisionFrame) -> Optional[str]:
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return hashlib.sha1(vision_frame.tobytes()).hexdigest() if numpy.any(vision_frame) else None
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def get_reference_faces() -> Optional[FaceSet]:
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if FACE_STORE['reference_faces']:
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return FACE_STORE['reference_faces']
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return None
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def append_reference_face(name : str, face : Face) -> None:
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if name not in FACE_STORE['reference_faces']:
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FACE_STORE['reference_faces'][name] = []
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FACE_STORE['reference_faces'][name].append(face)
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def clear_reference_faces() -> None:
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FACE_STORE['reference_faces'] = {}
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