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Don't assume landmark file is downloaded

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This commit is contained in:
Nicolas Mowen 2025-03-26 07:59:31 -06:00
parent e3d4b84803
commit 2b1fc069eb
1 changed files with 10 additions and 4 deletions
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14
frigate/data_processing/common/face/model.py
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@ -18,10 +18,7 @@ class FaceRecognizer(ABC):
def __init__(self, config: FrigateConfig) -> None:
self.config = config
self.landmark_detector = cv2.face.createFacemarkLBF()
self.landmark_detector.loadModel(
os.path.join(MODEL_CACHE_DIR, "facedet/landmarkdet.yaml")
)
self.init_landmark_detector()
@abstractmethod
def build(self) -> None:
@ -37,6 +34,13 @@ class FaceRecognizer(ABC):
def classify(self, face_image: np.ndarray) -> tuple[str, float] | None:
pass
def init_landmark_detector(self) -> None:
landmark_model = os.path.join(MODEL_CACHE_DIR, "facedet/landmarkdet.yaml")
if os.path.exists(landmark_model):
self.landmark_detector = cv2.face.createFacemarkLBF()
self.landmark_detector.loadModel(landmark_model)
def align_face(
self,
image: np.ndarray,
@ -130,6 +134,7 @@ class LBPHRecognizer(FaceRecognizer):
def build(self):
if not self.landmark_detector:
self.init_landmark_detector()
return None
labels = []
@ -207,6 +212,7 @@ class ArcFaceRecognizer(FaceRecognizer):
def build(self):
if not self.landmark_detector:
self.init_landmark_detector()
return None
face_embeddings_map: dict[str, list[np.ndarray]] = {}