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Code Issues Actions 3 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/stats/util.py
+83 -72
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@@ -136,6 +136,86 @@ def get_detector_stats(
return detector_stats
def embeddings_stats(
config: FrigateConfig, embeddings_metrics: DataProcessorMetrics | None
) -> dict[str, Any]:
"""Enrichment speed metrics plus the device each enrichment loaded on."""
stats: dict[str, Any] = {}
if not embeddings_metrics:
return stats
# Add metrics based on what's enabled
if config.semantic_search.enabled:
stats.update(
{
"image_embedding_speed": round(
embeddings_metrics.image_embeddings_speed.value * 1000, 2
),
"image_embedding": round(
embeddings_metrics.image_embeddings_eps.value, 2
),
"text_embedding_speed": round(
embeddings_metrics.text_embeddings_speed.value * 1000, 2
),
"text_embedding": round(
embeddings_metrics.text_embeddings_eps.value, 2
),
}
)
if config.face_recognition.enabled:
stats["face_recognition_speed"] = round(
embeddings_metrics.face_rec_speed.value * 1000, 2
)
stats["face_recognition"] = round(embeddings_metrics.face_rec_fps.value, 2)
if config.lpr.enabled:
stats["plate_recognition_speed"] = round(
embeddings_metrics.alpr_speed.value * 1000, 2
)
stats["plate_recognition"] = round(embeddings_metrics.alpr_pps.value, 2)
if embeddings_metrics.yolov9_lpr_pps.value > 0.0:
stats["yolov9_plate_detection_speed"] = round(
embeddings_metrics.yolov9_lpr_speed.value * 1000, 2
)
stats["yolov9_plate_detection"] = round(
embeddings_metrics.yolov9_lpr_pps.value, 2
)
if embeddings_metrics.review_desc_speed.value > 0.0:
stats["review_description_speed"] = round(
embeddings_metrics.review_desc_speed.value * 1000, 2
)
stats["review_description_events_per_second"] = round(
embeddings_metrics.review_desc_dps.value, 2
)
if embeddings_metrics.object_desc_speed.value > 0.0:
stats["object_description_speed"] = round(
embeddings_metrics.object_desc_speed.value * 1000, 2
)
stats["object_description_events_per_second"] = round(
embeddings_metrics.object_desc_dps.value, 2
)
for key in embeddings_metrics.classification_speeds.keys():
stats[f"{key}_classification_speed"] = round(
embeddings_metrics.classification_speeds[key].value * 1000, 2
)
stats[f"{key}_classification_events_per_second"] = round(
embeddings_metrics.classification_cps[key].value, 2
)
devices = dict(embeddings_metrics.runtime_devices)
if devices:
stats["devices"] = devices
return stats
def stats_snapshot(
config: FrigateConfig,
stats_tracking: StatsTrackingTypes,
@@ -209,78 +289,9 @@ def stats_snapshot(
stats["skipped_fps"] = round(total_skipped_fps, 2)
stats["detection_fps"] = round(total_detection_fps, 2)
stats["embeddings"] = {}
# Get metrics if available
embeddings_metrics = stats_tracking.get("embeddings_metrics")
if embeddings_metrics:
# Add metrics based on what's enabled
if config.semantic_search.enabled:
stats["embeddings"].update(
{
"image_embedding_speed": round(
embeddings_metrics.image_embeddings_speed.value * 1000, 2
),
"image_embedding": round(
embeddings_metrics.image_embeddings_eps.value, 2
),
"text_embedding_speed": round(
embeddings_metrics.text_embeddings_speed.value * 1000, 2
),
"text_embedding": round(
embeddings_metrics.text_embeddings_eps.value, 2
),
}
)
if config.face_recognition.enabled:
stats["embeddings"]["face_recognition_speed"] = round(
embeddings_metrics.face_rec_speed.value * 1000, 2
)
stats["embeddings"]["face_recognition"] = round(
embeddings_metrics.face_rec_fps.value, 2
)
if config.lpr.enabled:
stats["embeddings"]["plate_recognition_speed"] = round(
embeddings_metrics.alpr_speed.value * 1000, 2
)
stats["embeddings"]["plate_recognition"] = round(
embeddings_metrics.alpr_pps.value, 2
)
if embeddings_metrics.yolov9_lpr_pps.value > 0.0:
stats["embeddings"]["yolov9_plate_detection_speed"] = round(
embeddings_metrics.yolov9_lpr_speed.value * 1000, 2
)
stats["embeddings"]["yolov9_plate_detection"] = round(
embeddings_metrics.yolov9_lpr_pps.value, 2
)
if embeddings_metrics.review_desc_speed.value > 0.0:
stats["embeddings"]["review_description_speed"] = round(
embeddings_metrics.review_desc_speed.value * 1000, 2
)
stats["embeddings"]["review_description_events_per_second"] = round(
embeddings_metrics.review_desc_dps.value, 2
)
if embeddings_metrics.object_desc_speed.value > 0.0:
stats["embeddings"]["object_description_speed"] = round(
embeddings_metrics.object_desc_speed.value * 1000, 2
)
stats["embeddings"]["object_description_events_per_second"] = round(
embeddings_metrics.object_desc_dps.value, 2
)
for key in embeddings_metrics.classification_speeds.keys():
stats["embeddings"][f"{key}_classification_speed"] = round(
embeddings_metrics.classification_speeds[key].value * 1000, 2
)
stats["embeddings"][f"{key}_classification_events_per_second"] = round(
embeddings_metrics.classification_cps[key].value, 2
)
stats["embeddings"] = embeddings_stats(
config, stats_tracking.get("embeddings_metrics")
)
hardware_stats.update_stats(stats)