From 4bc35458355e9e895abb7ec84bd51d80533983c0 Mon Sep 17 00:00:00 2001 From: baudneo <86508179+baudneo@users.noreply.github.com> Date: Fri, 1 Aug 2025 17:30:15 -0600 Subject: [PATCH] pass face recognition config instead of whole config --- frigate/data_processing/common/face/model.py | 2 +- frigate/embeddings/onnx/face_embedding.py | 6 +++--- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/frigate/data_processing/common/face/model.py b/frigate/data_processing/common/face/model.py index 0897f53d5..21de37768 100644 --- a/frigate/data_processing/common/face/model.py +++ b/frigate/data_processing/common/face/model.py @@ -269,7 +269,7 @@ class ArcFaceRecognizer(FaceRecognizer): def __init__(self, config: FrigateConfig): super().__init__(config) self.mean_embs: dict[int, np.ndarray] = {} - self.face_embedder: ArcfaceEmbedding = ArcfaceEmbedding(config) + self.face_embedder: ArcfaceEmbedding = ArcfaceEmbedding(config.face_recognition) self.model_builder_queue: queue.Queue | None = None def clear(self) -> None: diff --git a/frigate/embeddings/onnx/face_embedding.py b/frigate/embeddings/onnx/face_embedding.py index 057b95ee7..6e047139c 100644 --- a/frigate/embeddings/onnx/face_embedding.py +++ b/frigate/embeddings/onnx/face_embedding.py @@ -11,7 +11,7 @@ from frigate.util.downloader import ModelDownloader from .base_embedding import BaseEmbedding from .runner import ONNXModelRunner -from ...config import FrigateConfig +from ...config import FaceRecognitionConfig try: from tflite_runtime.interpreter import Interpreter @@ -112,7 +112,7 @@ class FaceNetEmbedding(BaseEmbedding): class ArcfaceEmbedding(BaseEmbedding): - def __init__(self, config: FrigateConfig): + def __init__(self, config: FaceRecognitionConfig): super().__init__( model_name="facedet", model_file="arcface.onnx", @@ -150,7 +150,7 @@ class ArcfaceEmbedding(BaseEmbedding): self.runner = ONNXModelRunner( os.path.join(self.download_path, self.model_file), - device=self.config.face_recognition.device or "GPU", + device=self.config.device or "GPU", ) def _preprocess_inputs(self, raw_inputs):