Merge b13fa77edd into c08ec9652f

docs/docs/configuration/reference.md

@@ -1052,6 +1052,12 @@ ui:
   # Optional: Set the unit system to either "imperial" or "metric" (default: metric)
   # Used in the UI and in MQTT topics
   unit_system: metric
+  # Optional: Thresholds in ms for detector inference speed warnings in the UI
+  inference_threshold:
+    # Optional: Inference speed in ms above which a warning is shown (default: shown below)
+    warning: 50
+    # Optional: Inference speed in ms above which an error is shown (default: shown below)
+    error: 100
 
 # Optional: Telemetry configuration
 telemetry:

frigate/config/ui.py

@@ -5,7 +5,13 @@ from pydantic import Field
 
 from .base import FrigateBaseModel
 
-__all__ = ["TimeFormatEnum", "DateTimeStyleEnum", "UnitSystemEnum", "UIConfig"]
+__all__ = [
+    "TimeFormatEnum",
+    "DateTimeStyleEnum",
+    "UnitSystemEnum",
+    "InferenceThresholdConfig",
+    "UIConfig",
+]
 
 
 class TimeFormatEnum(str, Enum):
@@ -26,6 +32,19 @@ class UnitSystemEnum(str, Enum):
     metric = "metric"
 
 
+class InferenceThresholdConfig(FrigateBaseModel):
+    warning: int = Field(
+        default=50,
+        title="Warning threshold (ms)",
+        description="Inference speed in ms above which a warning is shown in the UI.",
+    )
+    error: int = Field(
+        default=100,
+        title="Error threshold (ms)",
+        description="Inference speed in ms above which an error is shown in the UI.",
+    )
+
+
 class UIConfig(FrigateBaseModel):
     timezone: Optional[str] = Field(
         default=None,
@@ -52,3 +71,8 @@ class UIConfig(FrigateBaseModel):
         title="Unit system",
         description="Unit system for display (metric or imperial) used in the UI and MQTT.",
     )
+    inference_threshold: InferenceThresholdConfig = Field(
+        default_factory=InferenceThresholdConfig,
+        title="Inference threshold",
+        description="Thresholds for detector inference speed warnings in the UI.",
+    )

web/src/hooks/use-stats.ts

@@ -50,8 +50,14 @@ export default function useStats(stats: FrigateStats | undefined) {
     }
 
     // check detectors for high inference speeds
+    const inferenceThreshold = {
+      warning:
+        config?.ui?.inference_threshold?.warning ?? InferenceThreshold.warning,
+      error:
+        config?.ui?.inference_threshold?.error ?? InferenceThreshold.error,
+    };
     Object.entries(memoizedStats["detectors"]).forEach(([key, det]) => {
-      if (det["inference_speed"] > InferenceThreshold.error) {
+      if (det["inference_speed"] > inferenceThreshold.error) {
         problems.push({
           text: t("stats.detectIsVerySlow", {
             detect: capitalizeFirstLetter(key),
@@ -60,7 +66,7 @@ export default function useStats(stats: FrigateStats | undefined) {
           color: "text-danger",
           relevantLink: "/system#general",
         });
-      } else if (det["inference_speed"] > InferenceThreshold.warning) {
+      } else if (det["inference_speed"] > inferenceThreshold.warning) {
         problems.push({
           text: t("stats.detectIsSlow", {
             detect: capitalizeFirstLetter(key),

web/src/types/frigateConfig.ts

@@ -9,6 +9,10 @@ export interface UiConfig {
   dashboard: boolean;
   order: number;
   unit_system?: "metric" | "imperial";
+  inference_threshold?: {
+    warning: number;
+    error: number;
+  };
 }
 
 export interface BirdseyeConfig {

web/src/views/system/GeneralMetrics.tsx

@@ -1,4 +1,5 @@
 import useSWR from "swr";
+import { FrigateConfig } from "@/types/frigateConfig";
 import { FrigateStats, GpuInfo } from "@/types/stats";
 import { useEffect, useMemo, useState } from "react";
 import { useFrigateStats } from "@/api/ws";
@@ -34,6 +35,12 @@ export default function GeneralMetrics({
   // extra info
   const { t } = useTranslation(["views/system"]);
   const [showVainfo, setShowVainfo] = useState(false);
+  const { data: config } = useSWR<FrigateConfig>("config");
+  const inferenceThreshold = {
+    warning:
+      config?.ui?.inference_threshold?.warning ?? InferenceThreshold.warning,
+    error: config?.ui?.inference_threshold?.error ?? InferenceThreshold.error,
+  };
 
   // stats
 
@@ -626,7 +633,7 @@ export default function GeneralMetrics({
                   graphId={`${series.name}-inference`}
                   name={series.name}
                   unit="ms"
-                  threshold={InferenceThreshold}
+                  threshold={inferenceThreshold}
                   updateTimes={updateTimes}
                   data={[series]}
                 />