Classification train updates (#19173)

* Improve model train button

* Add filters for classification

* Cleanup

* Don't run classification on false positives

* Cleanup filter

* Fix icon color

frigate/data_processing/real_time/custom_classification.py

@@ -225,6 +225,9 @@ class CustomObjectClassificationProcessor(RealTimeProcessorApi):
             self.model_config.name
         ].value = self.classifications_per_second.eps()
 
+        if obj_data["false_positive"]:
+            return
+
         if obj_data["label"] not in self.model_config.object_config.objects:
             return
 

web/public/locales/en/components/filter.json

@@ -1,5 +1,11 @@
 {
   "filter": "Filter",
+  "classes": {
+    "label": "Classes",
+    "all": { "title": "All Classes" },
+    "count_one": "{{count}} Class",
+    "count_other": "{{count}} Classes"
+  },
   "labels": {
     "label": "Labels",
     "all": {

web/public/locales/en/views/classificationModel.json

@@ -3,7 +3,8 @@
     "deleteClassificationAttempts": "Delete Classification Images",
     "renameCategory": "Rename Class",
     "deleteCategory": "Delete Class",
-    "deleteImages": "Delete Images"
+    "deleteImages": "Delete Images",
+    "trainModel": "Train Model"
   },
   "toast": {
     "success": {

web/src/components/overlay/dialog/TrainFilterDialog.tsx

@@ -0,0 +1,262 @@
+import { FaFilter } from "react-icons/fa";
+
+import { useEffect, useMemo, useState } from "react";
+import { PlatformAwareSheet } from "./PlatformAwareDialog";
+import { Button } from "@/components/ui/button";
+import { isDesktop, isMobile } from "react-device-detect";
+import FilterSwitch from "@/components/filter/FilterSwitch";
+import { Switch } from "@/components/ui/switch";
+import { Label } from "@/components/ui/label";
+import { DropdownMenuSeparator } from "@/components/ui/dropdown-menu";
+import { cn } from "@/lib/utils";
+import { DualThumbSlider } from "@/components/ui/slider";
+import { Input } from "@/components/ui/input";
+import { useTranslation } from "react-i18next";
+import { TrainFilter } from "@/types/classification";
+
+type TrainFilterDialogProps = {
+  filter?: TrainFilter;
+  filterValues: {
+    classes: string[];
+  };
+  onUpdateFilter: (filter: TrainFilter) => void;
+};
+export default function TrainFilterDialog({
+  filter,
+  filterValues,
+  onUpdateFilter,
+}: TrainFilterDialogProps) {
+  // data
+  const { t } = useTranslation(["components/filter"]);
+  const [currentFilter, setCurrentFilter] = useState(filter ?? {});
+
+  useEffect(() => {
+    if (filter) {
+      setCurrentFilter(filter);
+    }
+  }, [filter]);
+
+  // state
+
+  const [open, setOpen] = useState(false);
+
+  const moreFiltersSelected = useMemo(
+    () =>
+      currentFilter &&
+      (currentFilter.classes ||
+        (currentFilter.min_score ?? 0) > 0.5 ||
+        (currentFilter.max_score ?? 1) < 1),
+    [currentFilter],
+  );
+
+  const trigger = (
+    <Button
+      className="flex items-center gap-2"
+      aria-label={t("more")}
+      variant={moreFiltersSelected ? "select" : "default"}
+    >
+      <FaFilter
+        className={cn(
+          moreFiltersSelected ? "text-white" : "text-secondary-foreground",
+        )}
+      />
+      {t("more")}
+    </Button>
+  );
+  const content = (
+    <div className="space-y-3">
+      <ClassFilterContent
+        allClasses={filterValues.classes}
+        classes={currentFilter.classes}
+        updateClasses={(newClasses) =>
+          setCurrentFilter({ ...currentFilter, classes: newClasses })
+        }
+      />
+      <ScoreFilterContent
+        minScore={currentFilter.min_score}
+        maxScore={currentFilter.max_score}
+        setScoreRange={(min, max) =>
+          setCurrentFilter({ ...currentFilter, min_score: min, max_score: max })
+        }
+      />
+      {isDesktop && <DropdownMenuSeparator />}
+      <div className="flex items-center justify-evenly p-2">
+        <Button
+          variant="select"
+          aria-label={t("button.apply", { ns: "common" })}
+          onClick={() => {
+            if (currentFilter != filter) {
+              onUpdateFilter(currentFilter);
+            }
+
+            setOpen(false);
+          }}
+        >
+          {t("button.apply", { ns: "common" })}
+        </Button>
+        <Button
+          aria-label={t("reset.label")}
+          onClick={() => {
+            setCurrentFilter((prevFilter) => ({
+              ...prevFilter,
+              time_range: undefined,
+              zones: undefined,
+              sub_labels: undefined,
+              search_type: undefined,
+              min_score: undefined,
+              max_score: undefined,
+              min_speed: undefined,
+              max_speed: undefined,
+              has_snapshot: undefined,
+              has_clip: undefined,
+              recognized_license_plate: undefined,
+            }));
+          }}
+        >
+          {t("button.reset", { ns: "common" })}
+        </Button>
+      </div>
+    </div>
+  );
+
+  return (
+    <PlatformAwareSheet
+      trigger={trigger}
+      title={t("more")}
+      content={content}
+      contentClassName={cn(
+        "w-auto lg:min-w-[275px] scrollbar-container h-full overflow-auto px-4",
+        isMobile && "pb-20",
+      )}
+      open={open}
+      onOpenChange={(open) => {
+        if (!open) {
+          setCurrentFilter(filter ?? {});
+        }
+
+        setOpen(open);
+      }}
+    />
+  );
+}
+
+type ClassFilterContentProps = {
+  allClasses?: string[];
+  classes?: string[];
+  updateClasses: (classes: string[] | undefined) => void;
+};
+export function ClassFilterContent({
+  allClasses,
+  classes,
+  updateClasses,
+}: ClassFilterContentProps) {
+  const { t } = useTranslation(["components/filter"]);
+  return (
+    <>
+      <div className="overflow-x-hidden">
+        <DropdownMenuSeparator className="mb-3" />
+        <div className="text-lg">{t("classes.label")}</div>
+        {allClasses && (
+          <>
+            <div className="mb-5 mt-2.5 flex items-center justify-between">
+              <Label
+                className="mx-2 cursor-pointer text-primary"
+                htmlFor="allClasses"
+              >
+                {t("classes.all.title")}
+              </Label>
+              <Switch
+                className="ml-1"
+                id="allClasses"
+                checked={classes == undefined}
+                onCheckedChange={(isChecked) => {
+                  if (isChecked) {
+                    updateClasses(undefined);
+                  }
+                }}
+              />
+            </div>
+            <div className="mt-2.5 flex flex-col gap-2.5">
+              {allClasses.map((item) => (
+                <FilterSwitch
+                  key={item}
+                  label={item.replaceAll("_", " ")}
+                  isChecked={classes?.includes(item) ?? false}
+                  onCheckedChange={(isChecked) => {
+                    if (isChecked) {
+                      const updatedClasses = classes ? [...classes] : [];
+
+                      updatedClasses.push(item);
+                      updateClasses(updatedClasses);
+                    } else {
+                      const updatedClasses = classes ? [...classes] : [];
+
+                      // can not deselect the last item
+                      if (updatedClasses.length > 1) {
+                        updatedClasses.splice(updatedClasses.indexOf(item), 1);
+                        updateClasses(updatedClasses);
+                      }
+                    }
+                  }}
+                />
+              ))}
+            </div>
+          </>
+        )}
+      </div>
+    </>
+  );
+}
+
+type ScoreFilterContentProps = {
+  minScore: number | undefined;
+  maxScore: number | undefined;
+  setScoreRange: (min: number | undefined, max: number | undefined) => void;
+};
+export function ScoreFilterContent({
+  minScore,
+  maxScore,
+  setScoreRange,
+}: ScoreFilterContentProps) {
+  const { t } = useTranslation(["components/filter"]);
+  return (
+    <div className="overflow-x-hidden">
+      <DropdownMenuSeparator className="mb-3" />
+      <div className="mb-3 text-lg">{t("score")}</div>
+      <div className="flex items-center gap-1">
+        <Input
+          className="w-14 text-center"
+          inputMode="numeric"
+          value={Math.round((minScore ?? 0.5) * 100)}
+          onChange={(e) => {
+            const value = e.target.value;
+
+            if (value) {
+              setScoreRange(parseInt(value) / 100.0, maxScore ?? 1.0);
+            }
+          }}
+        />
+        <DualThumbSlider
+          className="mx-2 w-full"
+          min={0.5}
+          max={1.0}
+          step={0.01}
+          value={[minScore ?? 0.5, maxScore ?? 1.0]}
+          onValueChange={([min, max]) => setScoreRange(min, max)}
+        />
+        <Input
+          className="w-14 text-center"
+          inputMode="numeric"
+          value={Math.round((maxScore ?? 1.0) * 100)}
+          onChange={(e) => {
+            const value = e.target.value;
+
+            if (value) {
+              setScoreRange(minScore ?? 0.5, parseInt(value) / 100.0);
+            }
+          }}
+        />
+      </div>
+    </div>
+  );
+}

web/src/types/classification.ts

@@ -0,0 +1,8 @@
+const TRAIN_FILTERS = ["class", "score"] as const;
+export type TrainFilters = (typeof TRAIN_FILTERS)[number];
+
+export type TrainFilter = {
+  classes?: string[];
+  min_score?: number;
+  max_score?: number;
+};

web/src/views/classification/ModelTrainingView.tsx

@@ -50,6 +50,10 @@ import { ModelState } from "@/types/ws";
 import ActivityIndicator from "@/components/indicators/activity-indicator";
 import { useNavigate } from "react-router-dom";
 import { IoMdArrowRoundBack } from "react-icons/io";
+import { MdAutoFixHigh } from "react-icons/md";
+import TrainFilterDialog from "@/components/overlay/dialog/TrainFilterDialog";
+import useApiFilter from "@/hooks/use-api-filter";
+import { TrainFilter } from "@/types/classification";
 
 type ModelTrainingViewProps = {
   model: CustomClassificationModelConfig;
@@ -96,6 +100,8 @@ export default function ModelTrainingView({ model }: ModelTrainingViewProps) {
     [id: string]: string[];
   }>(`classification/${model.name}/dataset`);
 
+  const [trainFilter, setTrainFilter] = useApiFilter<TrainFilter>();
+
   // image multiselect
 
   const [selectedImages, setSelectedImages] = useState<string[]>([]);
@@ -340,14 +346,25 @@ export default function ModelTrainingView({ model }: ModelTrainingViewProps) {
             </Button>
           </div>
         ) : (
-          <Button
-            className="flex justify-center gap-2"
-            onClick={trainModel}
-            disabled={modelState != "complete"}
-          >
-            Train Model
-            {modelState == "training" && <ActivityIndicator size={20} />}
-          </Button>
+          <div className="flex flex-row gap-2">
+            <TrainFilterDialog
+              filter={trainFilter}
+              filterValues={{ classes: Object.keys(dataset || {}) }}
+              onUpdateFilter={setTrainFilter}
+            />
+            <Button
+              className="flex justify-center gap-2"
+              onClick={trainModel}
+              disabled={modelState != "complete"}
+            >
+              {modelState == "training" ? (
+                <ActivityIndicator size={20} />
+              ) : (
+                <MdAutoFixHigh className="text-secondary-foreground" />
+              )}
+              {t("button.trainModel")}
+            </Button>
+          </div>
         )}
       </div>
       {pageToggle == "train" ? (
@@ -355,6 +372,7 @@ export default function ModelTrainingView({ model }: ModelTrainingViewProps) {
           model={model}
           classes={Object.keys(dataset || {})}
           trainImages={trainImages || []}
+          trainFilter={trainFilter}
           selectedImages={selectedImages}
           onRefresh={refreshTrain}
           onClickImages={onClickImages}
@@ -642,6 +660,7 @@ type TrainGridProps = {
   model: CustomClassificationModelConfig;
   classes: string[];
   trainImages: string[];
+  trainFilter?: TrainFilter;
   selectedImages: string[];
   onClickImages: (images: string[], ctrl: boolean) => void;
   onRefresh: () => void;
@@ -651,6 +670,7 @@ function TrainGrid({
   model,
   classes,
   trainImages,
+  trainFilter,
   selectedImages,
   onClickImages,
   onRefresh,
@@ -672,8 +692,36 @@ function TrainGrid({
             truePositive: rawScore >= model.threshold,
           };
         })
+        .filter((data) => {
+          if (!trainFilter) {
+            return true;
+          }
+
+          if (
+            trainFilter.classes &&
+            !trainFilter.classes.includes(data.label)
+          ) {
+            return false;
+          }
+
+          if (
+            trainFilter.min_score &&
+            trainFilter.min_score > data.score / 100.0
+          ) {
+            return false;
+          }
+
+          if (
+            trainFilter.max_score &&
+            trainFilter.max_score <= data.score / 100.0
+          ) {
+            return false;
+          }
+
+          return true;
+        })
         .sort((a, b) => b.timestamp.localeCompare(a.timestamp)),
-    [model, trainImages],
+    [model, trainImages, trainFilter],
   );
 
   return (