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Code Issues Actions 2 Packages Projects Releases Wiki Activity

Improve System Health pane (#24188)

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* build out system health pane

* tweaks

* fixes

* fix notice link so it opens the correct camera

* tweak language
This commit is contained in:
Josh Hawkins
2026-09-12 07:30:04 -06:00
committed by Nicolas Mowen
parent 6d33b31bc6
commit 70ce193e09
57 changed files with 3965 additions and 464 deletions
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frigate/embeddings/onnx/face_embedding.py
+13 -5
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@@ -6,7 +6,10 @@ import os
import numpy as np
from frigate.const import MODEL_CACHE_DIR
from frigate.detectors.detection_runners import get_optimized_runner
from frigate.detectors.detection_runners import (
get_optimized_runner,
record_loaded_device,
)
from frigate.embeddings.types import EnrichmentModelTypeEnum
from frigate.log import suppress_stderr_during
from frigate.util.downloader import ModelDownloader
@@ -62,13 +65,18 @@ class FaceNetEmbedding(BaseEmbedding):
if self.downloader:
self.downloader.wait_for_download()
model_path = os.path.join(MODEL_CACHE_DIR, "facedet/facenet.tflite")
# Suppress TFLite delegate creation messages that bypass Python logging
with suppress_stderr_during("tflite_interpreter_init"):
self.runner = Interpreter(
model_path=os.path.join(MODEL_CACHE_DIR, "facedet/facenet.tflite"),
num_threads=2,
)
self.runner = Interpreter(model_path=model_path, num_threads=2)
self.runner.allocate_tensors()
# tflite never goes through get_optimized_runner, so the small face
# model would otherwise never report a device
record_loaded_device(
model_path, EnrichmentModelTypeEnum.facenet.value, "CPU"
)
self.tensor_input_details = self.runner.get_input_details()
self.tensor_output_details = self.runner.get_output_details()