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Correctly download model

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This commit is contained in:
Nicolas Mowen 2024-12-24 06:57:24 -07:00
parent 960115cbcf
commit bc8b52b55e
2 changed files with 13 additions and 1 deletions
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12
frigate/embeddings/embeddings.py
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@ -123,6 +123,18 @@ class Embeddings:
device="GPU" if config.semantic_search.model_size == "large" else "CPU",
)
if self.config.face_recognition.enabled:
self.face_embedding = GenericONNXEmbedding(
model_name="facedet",
model_file="facedet.onnx",
download_urls={
"facedet.onnx": "https://github.com/NickM-27/facenet-onnx/releases/download/v1.0/facedet.onnx",
"landmarkdet.yaml": "https://github.com/NickM-27/facenet-onnx/releases/download/v1.0/landmarkdet.yaml",
},
model_type=ModelTypeEnum.face,
requestor=self.requestor,
)
self.lpr_detection_model = None
self.lpr_classification_model = None
self.lpr_recognition_model = None

2
frigate/util/model.py
View File

@ -163,7 +163,7 @@ class FaceClassificationModel:
self.config = config
self.db = db
self.landmark_detector = cv2.face.createFacemarkLBF()
self.landmark_detector.loadModel("/config/model_cache/facenet/lbfmodel.yaml")
self.landmark_detector.loadModel("/config/model_cache/facenet/landmarkdet.yaml")
self.recognizer: cv2.face.LBPHFaceRecognizer = (
cv2.face.LBPHFaceRecognizer_create(
radius=2, threshold=(1 - config.threshold) * 1000