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cac2adde31
| Author | SHA1 | Date | |
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cac2adde31 | ||
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6baf43ddca | ||
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cbf78e2070 | ||
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72896f4631 | ||
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cb9dd09929 | ||
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8aa260c5cb | ||
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5064a817c2 |
@@ -35,6 +35,10 @@ except ModuleNotFoundError:
|
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logger = logging.getLogger(__name__)
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MAX_CLASSIFICATION_VERIFICATION_ATTEMPTS = 6
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MAX_CLASSIFICATION_ATTEMPTS = 12
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|
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|
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class CustomStateClassificationProcessor(RealTimeProcessorApi):
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def __init__(
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self,
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@@ -264,6 +268,26 @@ class CustomObjectClassificationProcessor(RealTimeProcessorApi):
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if obj_data["label"] not in self.model_config.object_config.objects:
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return
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if (
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obj_data["id"] in self.detected_objects
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and len(self.detected_objects[obj_data["id"]])
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>= MAX_CLASSIFICATION_VERIFICATION_ATTEMPTS
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):
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# if we are at max attempts after rec and we have a rec
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if obj_data.get("sub_label"):
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logger.debug(
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"Not processing due to hitting max attempts after true recognition."
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)
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return
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|
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# if we don't have a rec and are at max attempts
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if (
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len(self.detected_objects[obj_data["id"]])
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>= MAX_CLASSIFICATION_ATTEMPTS
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):
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logger.debug("Not processing due to hitting max rec attempts.")
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return
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|
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now = datetime.datetime.now().timestamp()
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x, y, x2, y2 = calculate_region(
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frame.shape,
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|
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@@ -41,8 +41,8 @@
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"invalidName": "Invalid name. Names can only include letters, numbers, spaces, apostrophes, underscores, and hyphens."
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},
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"train": {
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"title": "Train",
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"aria": "Select Train"
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"title": "Recent Classifications",
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"aria": "Select Recent Classifications"
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},
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"categories": "Classes",
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"createCategory": {
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||||
|
||||
@@ -72,59 +72,62 @@ export function ClassificationCard({
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}, [showArea, imageLoaded]);
|
||||
|
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return (
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<>
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<div
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<div
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className={cn(
|
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"relative flex size-48 cursor-pointer flex-col overflow-hidden rounded-lg outline outline-[3px]",
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||||
selected
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? "shadow-selected outline-selected"
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: "outline-transparent duration-500",
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)}
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>
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<img
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ref={imgRef}
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className={cn(
|
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"relative flex cursor-pointer flex-col rounded-lg outline outline-[3px]",
|
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className,
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selected
|
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? "shadow-selected outline-selected"
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: "outline-transparent duration-500",
|
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"absolute bottom-0 left-0 right-0 top-0 size-full",
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imgClassName,
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isMobile && "w-full",
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)}
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>
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<div className="relative w-full select-none overflow-hidden rounded-lg">
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<img
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ref={imgRef}
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onLoad={() => setImageLoaded(true)}
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className={cn("size-44", imgClassName, isMobile && "w-full")}
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src={`${baseUrl}${data.filepath}`}
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onClick={(e) => {
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e.stopPropagation();
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onClick(data, e.metaKey || e.ctrlKey);
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||||
}}
|
||||
/>
|
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{imageArea != undefined && (
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<div className="absolute bottom-1 right-1 z-10 rounded-lg bg-black/50 px-2 py-1 text-xs text-white">
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{t("information.pixels", { ns: "common", area: imageArea })}
|
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onLoad={() => setImageLoaded(true)}
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src={`${baseUrl}${data.filepath}`}
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onClick={(e) => {
|
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e.stopPropagation();
|
||||
onClick(data, e.metaKey || e.ctrlKey);
|
||||
}}
|
||||
/>
|
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{false && imageArea != undefined && (
|
||||
<div className="absolute bottom-1 right-1 z-10 rounded-lg bg-black/50 px-2 py-1 text-xs text-white">
|
||||
{t("information.pixels", { ns: "common", area: imageArea })}
|
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</div>
|
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)}
|
||||
<div className="absolute bottom-0 left-0 right-0 h-[50%] bg-gradient-to-t from-black/60 to-transparent" />
|
||||
<div className="absolute bottom-0 flex w-full select-none flex-row items-center justify-between gap-2 p-2">
|
||||
<div
|
||||
className={cn(
|
||||
"flex flex-col items-start text-white",
|
||||
data.score ? "text-xs" : "text-sm",
|
||||
)}
|
||||
>
|
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<div className="smart-capitalize">
|
||||
{data.name == "unknown" ? t("details.unknown") : data.name}
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</div>
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{data.score && (
|
||||
<div
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||||
className={cn(
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||||
"",
|
||||
scoreStatus == "match" && "text-success",
|
||||
scoreStatus == "potential" && "text-orange-400",
|
||||
scoreStatus == "unknown" && "text-danger",
|
||||
)}
|
||||
>
|
||||
{Math.round(data.score * 100)}%
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</div>
|
||||
)}
|
||||
</div>
|
||||
<div className="select-none p-2">
|
||||
<div className="flex w-full flex-row items-center justify-between gap-2">
|
||||
<div className="flex flex-col items-start text-xs text-primary-variant">
|
||||
<div className="smart-capitalize">
|
||||
{data.name == "unknown" ? t("details.unknown") : data.name}
|
||||
</div>
|
||||
{data.score && (
|
||||
<div
|
||||
className={cn(
|
||||
"",
|
||||
scoreStatus == "match" && "text-success",
|
||||
scoreStatus == "potential" && "text-orange-400",
|
||||
scoreStatus == "unknown" && "text-danger",
|
||||
)}
|
||||
>
|
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{Math.round(data.score * 100)}%
|
||||
</div>
|
||||
)}
|
||||
</div>
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||||
<div className="flex flex-row items-start justify-end gap-5 md:gap-4">
|
||||
{children}
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||||
</div>
|
||||
</div>
|
||||
<div className="flex flex-row items-start justify-end gap-5 md:gap-2">
|
||||
{children}
|
||||
</div>
|
||||
</div>
|
||||
</>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
|
||||
@@ -20,15 +20,14 @@ import {
|
||||
TooltipTrigger,
|
||||
} from "@/components/ui/tooltip";
|
||||
import { isDesktop, isMobile } from "react-device-detect";
|
||||
import { LuPlus } from "react-icons/lu";
|
||||
import { useTranslation } from "react-i18next";
|
||||
import { cn } from "@/lib/utils";
|
||||
import React, { ReactNode, useCallback, useMemo, useState } from "react";
|
||||
import TextEntryDialog from "./dialog/TextEntryDialog";
|
||||
import { Button } from "../ui/button";
|
||||
import { MdCategory } from "react-icons/md";
|
||||
import axios from "axios";
|
||||
import { toast } from "sonner";
|
||||
import { Separator } from "../ui/separator";
|
||||
|
||||
type ClassificationSelectionDialogProps = {
|
||||
className?: string;
|
||||
@@ -97,7 +96,7 @@ export default function ClassificationSelectionDialog({
|
||||
);
|
||||
|
||||
return (
|
||||
<div className={className ?? ""}>
|
||||
<div className={className ?? "flex"}>
|
||||
{newClass && (
|
||||
<TextEntryDialog
|
||||
open={true}
|
||||
@@ -128,23 +127,22 @@ export default function ClassificationSelectionDialog({
|
||||
isMobile && "gap-2 pb-4",
|
||||
)}
|
||||
>
|
||||
<SelectorItem
|
||||
className="flex cursor-pointer gap-2 smart-capitalize"
|
||||
onClick={() => setNewClass(true)}
|
||||
>
|
||||
<LuPlus />
|
||||
{t("createCategory.new")}
|
||||
</SelectorItem>
|
||||
{classes.sort().map((category) => (
|
||||
<SelectorItem
|
||||
key={category}
|
||||
className="flex cursor-pointer gap-2 smart-capitalize"
|
||||
onClick={() => onCategorizeImage(category)}
|
||||
>
|
||||
<MdCategory />
|
||||
{category.replaceAll("_", " ")}
|
||||
</SelectorItem>
|
||||
))}
|
||||
<Separator />
|
||||
<SelectorItem
|
||||
className="flex cursor-pointer gap-2 smart-capitalize"
|
||||
onClick={() => setNewClass(true)}
|
||||
>
|
||||
{t("createCategory.new")}
|
||||
</SelectorItem>
|
||||
</div>
|
||||
</SelectorContent>
|
||||
</Selector>
|
||||
|
||||
@@ -62,7 +62,7 @@ export default function FaceSelectionDialog({
|
||||
);
|
||||
|
||||
return (
|
||||
<div className={className ?? ""}>
|
||||
<div className={className ?? "flex"}>
|
||||
{newFace && (
|
||||
<TextEntryDialog
|
||||
open={true}
|
||||
|
||||
@@ -60,7 +60,7 @@ export default function TrainFilterDialog({
|
||||
moreFiltersSelected ? "text-white" : "text-secondary-foreground",
|
||||
)}
|
||||
/>
|
||||
{isDesktop && t("more")}
|
||||
{isDesktop && t("filter")}
|
||||
</Button>
|
||||
);
|
||||
const content = (
|
||||
@@ -122,7 +122,7 @@ export default function TrainFilterDialog({
|
||||
return (
|
||||
<PlatformAwareSheet
|
||||
trigger={trigger}
|
||||
title={t("more")}
|
||||
title={t("filter")}
|
||||
content={content}
|
||||
contentClassName={cn(
|
||||
"w-auto lg:min-w-[275px] scrollbar-container h-full overflow-auto px-4",
|
||||
|
||||
@@ -881,12 +881,12 @@ function FaceAttemptGroup({
|
||||
faceNames={faceNames}
|
||||
onTrainAttempt={(name) => onTrainAttempt(data, name)}
|
||||
>
|
||||
<AddFaceIcon className="size-5 cursor-pointer text-primary-variant hover:text-primary" />
|
||||
<AddFaceIcon className="size-7 cursor-pointer p-1 text-gray-200 hover:rounded-full hover:bg-primary-foreground" />
|
||||
</FaceSelectionDialog>
|
||||
<Tooltip>
|
||||
<TooltipTrigger>
|
||||
<LuRefreshCw
|
||||
className="size-5 cursor-pointer text-primary-variant hover:text-primary"
|
||||
className="size-7 cursor-pointer p-1 text-gray-200 hover:rounded-full hover:bg-primary-foreground"
|
||||
onClick={() => onReprocess(data)}
|
||||
/>
|
||||
</TooltipTrigger>
|
||||
@@ -954,7 +954,7 @@ function FaceGrid({
|
||||
<Tooltip>
|
||||
<TooltipTrigger>
|
||||
<LuTrash2
|
||||
className="size-5 cursor-pointer text-primary-variant hover:text-primary"
|
||||
className="size-5 cursor-pointer text-gray-200 hover:text-danger"
|
||||
onClick={(e) => {
|
||||
e.stopPropagation();
|
||||
onDelete(pageToggle, [image]);
|
||||
|
||||
@@ -1,31 +1,56 @@
|
||||
import { baseUrl } from "@/api/baseUrl";
|
||||
import ActivityIndicator from "@/components/indicators/activity-indicator";
|
||||
import { Button } from "@/components/ui/button";
|
||||
import { ToggleGroup, ToggleGroupItem } from "@/components/ui/toggle-group";
|
||||
import useOptimisticState from "@/hooks/use-optimistic-state";
|
||||
import { cn } from "@/lib/utils";
|
||||
import {
|
||||
CustomClassificationModelConfig,
|
||||
FrigateConfig,
|
||||
} from "@/types/frigateConfig";
|
||||
import { useMemo } from "react";
|
||||
import { useMemo, useState } from "react";
|
||||
import { isMobile } from "react-device-detect";
|
||||
import { useTranslation } from "react-i18next";
|
||||
import { FaFolderPlus } from "react-icons/fa";
|
||||
import useSWR from "swr";
|
||||
|
||||
const allModelTypes = ["objects", "states"] as const;
|
||||
type ModelType = (typeof allModelTypes)[number];
|
||||
|
||||
type ModelSelectionViewProps = {
|
||||
onClick: (model: CustomClassificationModelConfig) => void;
|
||||
};
|
||||
export default function ModelSelectionView({
|
||||
onClick,
|
||||
}: ModelSelectionViewProps) {
|
||||
const { t } = useTranslation(["views/classificationModel"]);
|
||||
const [page, setPage] = useState<ModelType>("objects");
|
||||
const [pageToggle, setPageToggle] = useOptimisticState(page, setPage, 100);
|
||||
const { data: config } = useSWR<FrigateConfig>("config", {
|
||||
revalidateOnFocus: false,
|
||||
});
|
||||
|
||||
// data
|
||||
|
||||
const classificationConfigs = useMemo(() => {
|
||||
if (!config) {
|
||||
return [];
|
||||
}
|
||||
|
||||
return Object.values(config.classification.custom);
|
||||
}, [config]);
|
||||
const allModels = Object.values(config.classification.custom);
|
||||
|
||||
return allModels.filter((model) => {
|
||||
if (pageToggle == "objects" && model.object_config != undefined) {
|
||||
return true;
|
||||
}
|
||||
|
||||
if (pageToggle == "states" && model.state_config != undefined) {
|
||||
return true;
|
||||
}
|
||||
|
||||
return false;
|
||||
});
|
||||
}, [config, pageToggle]);
|
||||
|
||||
if (!config) {
|
||||
return <ActivityIndicator />;
|
||||
@@ -36,14 +61,53 @@ export default function ModelSelectionView({
|
||||
}
|
||||
|
||||
return (
|
||||
<div className="flex size-full gap-2 p-2">
|
||||
{classificationConfigs.map((config) => (
|
||||
<ModelCard
|
||||
key={config.name}
|
||||
config={config}
|
||||
onClick={() => onClick(config)}
|
||||
/>
|
||||
))}
|
||||
<div className="flex size-full flex-col p-2">
|
||||
<div className="flex h-12 w-full items-center justify-between">
|
||||
<div className="flex flex-row items-center">
|
||||
<ToggleGroup
|
||||
className="*:rounded-md *:px-3 *:py-4"
|
||||
type="single"
|
||||
size="sm"
|
||||
value={pageToggle}
|
||||
onValueChange={(value: ModelType) => {
|
||||
if (value) {
|
||||
// Restrict viewer navigation
|
||||
setPageToggle(value);
|
||||
}
|
||||
}}
|
||||
>
|
||||
{allModelTypes.map((item) => (
|
||||
<ToggleGroupItem
|
||||
key={item}
|
||||
className={`flex scroll-mx-10 items-center justify-between gap-2 ${pageToggle == item ? "" : "*:text-muted-foreground"}`}
|
||||
value={item}
|
||||
data-nav-item={item}
|
||||
aria-label={t("selectItem", {
|
||||
ns: "common",
|
||||
item: t("menu." + item),
|
||||
})}
|
||||
>
|
||||
<div className="smart-capitalize">{t("menu." + item)}</div>
|
||||
</ToggleGroupItem>
|
||||
))}
|
||||
</ToggleGroup>
|
||||
</div>
|
||||
<div className="flex flex-row items-center">
|
||||
<Button className="flex flex-row items-center gap-2" variant="select">
|
||||
<FaFolderPlus />
|
||||
Add Classification
|
||||
</Button>
|
||||
</div>
|
||||
</div>
|
||||
<div className="flex size-full gap-2 p-2">
|
||||
{classificationConfigs.map((config) => (
|
||||
<ModelCard
|
||||
key={config.name}
|
||||
config={config}
|
||||
onClick={() => onClick(config)}
|
||||
/>
|
||||
))}
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
@@ -57,46 +121,37 @@ function ModelCard({ config, onClick }: ModelCardProps) {
|
||||
[id: string]: string[];
|
||||
}>(`classification/${config.name}/dataset`, { revalidateOnFocus: false });
|
||||
|
||||
const coverImages = useMemo(() => {
|
||||
const coverImage = useMemo(() => {
|
||||
if (!dataset) {
|
||||
return {};
|
||||
return undefined;
|
||||
}
|
||||
|
||||
const imageMap: { [key: string]: string } = {};
|
||||
const keys = Object.keys(dataset).filter((key) => key != "none");
|
||||
const selectedKey = keys[0];
|
||||
|
||||
for (const [key, imageList] of Object.entries(dataset)) {
|
||||
if (imageList.length > 0) {
|
||||
imageMap[key] = imageList[0];
|
||||
}
|
||||
}
|
||||
|
||||
return imageMap;
|
||||
return {
|
||||
name: selectedKey,
|
||||
img: dataset[selectedKey][0],
|
||||
};
|
||||
}, [dataset]);
|
||||
|
||||
return (
|
||||
<div
|
||||
key={config.name}
|
||||
className={cn(
|
||||
"flex h-60 cursor-pointer flex-col items-center gap-2 rounded-lg bg-card p-2 outline outline-[3px]",
|
||||
"relative size-60 cursor-pointer overflow-hidden rounded-lg",
|
||||
"outline-transparent duration-500",
|
||||
isMobile && "w-full",
|
||||
)}
|
||||
onClick={() => onClick()}
|
||||
>
|
||||
<div
|
||||
className={cn("grid size-48 grid-cols-2 gap-2", isMobile && "w-full")}
|
||||
>
|
||||
{Object.entries(coverImages).map(([key, image]) => (
|
||||
<img
|
||||
key={key}
|
||||
className=""
|
||||
src={`${baseUrl}clips/${config.name}/dataset/${key}/${image}`}
|
||||
/>
|
||||
))}
|
||||
</div>
|
||||
<div className="smart-capitalize">
|
||||
{config.name} ({config.state_config != null ? "State" : "Object"}{" "}
|
||||
Classification)
|
||||
<img
|
||||
className={cn("size-full", isMobile && "w-full")}
|
||||
src={`${baseUrl}clips/${config.name}/dataset/${coverImage?.name}/${coverImage?.img}`}
|
||||
/>
|
||||
<div className="absolute bottom-0 h-[50%] w-full bg-gradient-to-t from-black/60 to-transparent" />
|
||||
<div className="absolute bottom-2 left-3 text-lg smart-capitalize">
|
||||
{config.name}
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
|
||||
@@ -56,7 +56,6 @@ 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 { ClassificationItemData, TrainFilter } from "@/types/classification";
|
||||
@@ -69,6 +68,7 @@ import SearchDetailDialog, {
|
||||
SearchTab,
|
||||
} from "@/components/overlay/detail/SearchDetailDialog";
|
||||
import { SearchResult } from "@/types/search";
|
||||
import { HiSparkles } from "react-icons/hi";
|
||||
|
||||
type ModelTrainingViewProps = {
|
||||
model: CustomClassificationModelConfig;
|
||||
@@ -378,12 +378,13 @@ export default function ModelTrainingView({ model }: ModelTrainingViewProps) {
|
||||
<Button
|
||||
className="flex justify-center gap-2"
|
||||
onClick={trainModel}
|
||||
variant="select"
|
||||
disabled={modelState != "complete"}
|
||||
>
|
||||
{modelState == "training" ? (
|
||||
<ActivityIndicator size={20} />
|
||||
) : (
|
||||
<MdAutoFixHigh className="text-secondary-foreground" />
|
||||
<HiSparkles className="text-white" />
|
||||
)}
|
||||
{isDesktop && t("button.trainModel")}
|
||||
</Button>
|
||||
@@ -650,7 +651,7 @@ function DatasetGrid({
|
||||
<Tooltip>
|
||||
<TooltipTrigger>
|
||||
<LuTrash2
|
||||
className="size-5 cursor-pointer text-primary-variant hover:text-primary"
|
||||
className="size-5 cursor-pointer text-primary-variant hover:text-danger"
|
||||
onClick={(e) => {
|
||||
e.stopPropagation();
|
||||
onDelete([image]);
|
||||
@@ -757,7 +758,6 @@ function TrainGrid({
|
||||
selectedImages={selectedImages}
|
||||
onClickImages={onClickImages}
|
||||
onRefresh={onRefresh}
|
||||
onDelete={onDelete}
|
||||
/>
|
||||
);
|
||||
}
|
||||
@@ -780,10 +780,7 @@ function StateTrainGrid({
|
||||
selectedImages,
|
||||
onClickImages,
|
||||
onRefresh,
|
||||
onDelete,
|
||||
}: StateTrainGridProps) {
|
||||
const { t } = useTranslation(["views/classificationModel"]);
|
||||
|
||||
const threshold = useMemo(() => {
|
||||
return {
|
||||
recognition: model.threshold,
|
||||
@@ -817,22 +814,8 @@ function StateTrainGrid({
|
||||
image={data.filename}
|
||||
onRefresh={onRefresh}
|
||||
>
|
||||
<TbCategoryPlus className="size-5 cursor-pointer text-primary-variant hover:text-primary" />
|
||||
<TbCategoryPlus className="size-7 cursor-pointer p-1 text-gray-200 hover:rounded-full hover:bg-primary-foreground" />
|
||||
</ClassificationSelectionDialog>
|
||||
<Tooltip>
|
||||
<TooltipTrigger>
|
||||
<LuTrash2
|
||||
className="size-5 cursor-pointer text-primary-variant hover:text-primary"
|
||||
onClick={(e) => {
|
||||
e.stopPropagation();
|
||||
onDelete([data.filename]);
|
||||
}}
|
||||
/>
|
||||
</TooltipTrigger>
|
||||
<TooltipContent>
|
||||
{t("button.deleteClassificationAttempts")}
|
||||
</TooltipContent>
|
||||
</Tooltip>
|
||||
</ClassificationCard>
|
||||
))}
|
||||
</div>
|
||||
@@ -847,7 +830,6 @@ type ObjectTrainGridProps = {
|
||||
selectedImages: string[];
|
||||
onClickImages: (images: string[], ctrl: boolean) => void;
|
||||
onRefresh: () => void;
|
||||
onDelete: (ids: string[]) => void;
|
||||
};
|
||||
function ObjectTrainGrid({
|
||||
model,
|
||||
@@ -857,10 +839,7 @@ function ObjectTrainGrid({
|
||||
selectedImages,
|
||||
onClickImages,
|
||||
onRefresh,
|
||||
onDelete,
|
||||
}: ObjectTrainGridProps) {
|
||||
const { t } = useTranslation(["views/classificationModel"]);
|
||||
|
||||
// item data
|
||||
|
||||
const groups = useMemo(() => {
|
||||
@@ -980,22 +959,8 @@ function ObjectTrainGrid({
|
||||
image={data.filename}
|
||||
onRefresh={onRefresh}
|
||||
>
|
||||
<TbCategoryPlus className="size-5 cursor-pointer text-primary-variant hover:text-primary" />
|
||||
<TbCategoryPlus className="size-7 cursor-pointer p-1 text-gray-200 hover:rounded-full hover:bg-primary-foreground" />
|
||||
</ClassificationSelectionDialog>
|
||||
<Tooltip>
|
||||
<TooltipTrigger>
|
||||
<LuTrash2
|
||||
className="size-5 cursor-pointer text-primary-variant hover:text-primary"
|
||||
onClick={(e) => {
|
||||
e.stopPropagation();
|
||||
onDelete([data.filename]);
|
||||
}}
|
||||
/>
|
||||
</TooltipTrigger>
|
||||
<TooltipContent>
|
||||
{t("button.deleteClassificationAttempts")}
|
||||
</TooltipContent>
|
||||
</Tooltip>
|
||||
</>
|
||||
)}
|
||||
</GroupedClassificationCard>
|
||||
|
||||
Reference in New Issue
Block a user