mirror of
https://github.com/blakeblackshear/frigate.git
synced 2026-04-03 05:44:52 +03:00
Compare commits
5 Commits
44c92e84cd
...
a2639b54bd
| Author | SHA1 | Date | |
|---|---|---|---|
|
|
a2639b54bd | ||
|
|
1114c9c903 | ||
|
|
c79f1a9038 | ||
|
|
c5c7a08c4d | ||
|
|
97ba7a6b78 |
@ -374,9 +374,19 @@ Use `match_distance` to allow small character mismatches. Alternatively, define
|
||||
|
||||
Start with ["Why isn't my license plate being detected and recognized?"](#why-isnt-my-license-plate-being-detected-and-recognized). If you are still having issues, work through these steps.
|
||||
|
||||
1. Enable debug logs to see exactly what Frigate is doing.
|
||||
1. Start with a simplified LPR config.
|
||||
|
||||
- Enable debug logs for LPR by adding `frigate.data_processing.common.license_plate: debug` to your `logger` configuration. These logs are _very_ verbose, so only keep this enabled when necessary.
|
||||
- Remove or comment out everything in your LPR config, including `min_area`, `min_plate_length`, `format`, `known_plates`, or `enhancement` values so that the only values left are `enabled` and `debug_save_plates`. This will run LPR with Frigate's default values.
|
||||
|
||||
```yaml
|
||||
lpr:
|
||||
enabled: true
|
||||
debug_save_plates: true
|
||||
```
|
||||
|
||||
2. Enable debug logs to see exactly what Frigate is doing.
|
||||
|
||||
- Enable debug logs for LPR by adding `frigate.data_processing.common.license_plate: debug` to your `logger` configuration. These logs are _very_ verbose, so only keep this enabled when necessary. Restart Frigate after this change.
|
||||
|
||||
```yaml
|
||||
logger:
|
||||
@ -385,7 +395,7 @@ Start with ["Why isn't my license plate being detected and recognized?"](#why-is
|
||||
frigate.data_processing.common.license_plate: debug
|
||||
```
|
||||
|
||||
2. Ensure your plates are being _detected_.
|
||||
3. Ensure your plates are being _detected_.
|
||||
|
||||
If you are using a Frigate+ or `license_plate` detecting model:
|
||||
|
||||
@ -398,7 +408,7 @@ Start with ["Why isn't my license plate being detected and recognized?"](#why-is
|
||||
- Watch the debug logs for messages from the YOLOv9 plate detector.
|
||||
- You may need to adjust your `detection_threshold` if your plates are not being detected.
|
||||
|
||||
3. Ensure the characters on detected plates are being _recognized_.
|
||||
4. Ensure the characters on detected plates are being _recognized_.
|
||||
|
||||
- Enable `debug_save_plates` to save images of detected text on plates to the clips directory (`/media/frigate/clips/lpr`). Ensure these images are readable and the text is clear.
|
||||
- Watch the debug view to see plates recognized in real-time. For non-dedicated LPR cameras, the `car` or `motorcycle` label will change to the recognized plate when LPR is enabled and working.
|
||||
|
||||
@ -135,6 +135,7 @@ Finally, configure [hardware object detection](/configuration/object_detectors#h
|
||||
### MemryX MX3
|
||||
|
||||
The MemryX MX3 Accelerator is available in the M.2 2280 form factor (like an NVMe SSD), and supports a variety of configurations:
|
||||
|
||||
- x86 (Intel/AMD) PCs
|
||||
- Raspberry Pi 5
|
||||
- Orange Pi 5 Plus/Max
|
||||
@ -142,7 +143,6 @@ The MemryX MX3 Accelerator is available in the M.2 2280 form factor (like an NVM
|
||||
|
||||
#### Configuration
|
||||
|
||||
|
||||
#### Installation
|
||||
|
||||
To get started with MX3 hardware setup for your system, refer to the [Hardware Setup Guide](https://developer.memryx.com/get_started/hardware_setup.html).
|
||||
@ -156,7 +156,7 @@ Then follow these steps for installing the correct driver/runtime configuration:
|
||||
|
||||
#### Setup
|
||||
|
||||
To set up Frigate, follow the default installation instructions, for example: `ghcr.io/blakeblackshear/frigate:stable`
|
||||
To set up Frigate, follow the default installation instructions, for example: `ghcr.io/blakeblackshear/frigate:stable`
|
||||
|
||||
Next, grant Docker permissions to access your hardware by adding the following lines to your `docker-compose.yml` file:
|
||||
|
||||
@ -173,7 +173,7 @@ In your `docker-compose.yml`, also add:
|
||||
privileged: true
|
||||
|
||||
volumes:
|
||||
/run/mxa_manager:/run/mxa_manager
|
||||
- /run/mxa_manager:/run/mxa_manager
|
||||
```
|
||||
|
||||
If you can't use Docker Compose, you can run the container with something similar to this:
|
||||
@ -411,7 +411,7 @@ To install make sure you have the [community app plugin here](https://forums.unr
|
||||
|
||||
## Proxmox
|
||||
|
||||
[According to Proxmox documentation](https://pve.proxmox.com/pve-docs/pve-admin-guide.html#chapter_pct) it is recommended that you run application containers like Frigate inside a Proxmox QEMU VM. This will give you all the advantages of application containerization, while also providing the benefits that VMs offer, such as strong isolation from the host and the ability to live-migrate, which otherwise isn’t possible with containers.
|
||||
[According to Proxmox documentation](https://pve.proxmox.com/pve-docs/pve-admin-guide.html#chapter_pct) it is recommended that you run application containers like Frigate inside a Proxmox QEMU VM. This will give you all the advantages of application containerization, while also providing the benefits that VMs offer, such as strong isolation from the host and the ability to live-migrate, which otherwise isn’t possible with containers. Ensure that ballooning is **disabled**, especially if you are passing through a GPU to the VM.
|
||||
|
||||
:::warning
|
||||
|
||||
|
||||
@ -52,6 +52,7 @@
|
||||
},
|
||||
"selected_one": "{{count}} selected",
|
||||
"selected_other": "{{count}} selected",
|
||||
"select_all": "All",
|
||||
"camera": "Camera",
|
||||
"detected": "detected",
|
||||
"normalActivity": "Normal",
|
||||
|
||||
@ -29,6 +29,7 @@
|
||||
},
|
||||
"train": {
|
||||
"title": "Recent Recognitions",
|
||||
"titleShort": "Recent",
|
||||
"aria": "Select recent recognitions",
|
||||
"empty": "There are no recent face recognition attempts"
|
||||
},
|
||||
|
||||
@ -7,7 +7,7 @@ import {
|
||||
} from "@/types/classification";
|
||||
import { Event } from "@/types/event";
|
||||
import { forwardRef, useMemo, useRef, useState } from "react";
|
||||
import { isDesktop, isMobile, isMobileOnly } from "react-device-detect";
|
||||
import { isDesktop, isIOS, isMobile, isMobileOnly } from "react-device-detect";
|
||||
import { useTranslation } from "react-i18next";
|
||||
import TimeAgo from "../dynamic/TimeAgo";
|
||||
import { Tooltip, TooltipContent, TooltipTrigger } from "../ui/tooltip";
|
||||
@ -127,6 +127,15 @@ export const ClassificationCard = forwardRef<
|
||||
imgClassName,
|
||||
isMobile && "w-full",
|
||||
)}
|
||||
style={
|
||||
isIOS
|
||||
? {
|
||||
WebkitUserSelect: "none",
|
||||
WebkitTouchCallout: "none",
|
||||
}
|
||||
: undefined
|
||||
}
|
||||
draggable={false}
|
||||
loading="lazy"
|
||||
onLoad={() => setImageLoaded(true)}
|
||||
src={`${baseUrl}${data.filepath}`}
|
||||
|
||||
@ -22,11 +22,15 @@ type SearchActionGroupProps = {
|
||||
selectedObjects: string[];
|
||||
setSelectedObjects: (ids: string[]) => void;
|
||||
pullLatestData: () => void;
|
||||
onSelectAllObjects: () => void;
|
||||
totalItems: number;
|
||||
};
|
||||
export default function SearchActionGroup({
|
||||
selectedObjects,
|
||||
setSelectedObjects,
|
||||
pullLatestData,
|
||||
onSelectAllObjects,
|
||||
totalItems,
|
||||
}: SearchActionGroupProps) {
|
||||
const { t } = useTranslation(["components/filter"]);
|
||||
const isAdmin = useIsAdmin();
|
||||
@ -124,6 +128,17 @@ export default function SearchActionGroup({
|
||||
>
|
||||
{t("button.unselect", { ns: "common" })}
|
||||
</div>
|
||||
{selectedObjects.length < totalItems && (
|
||||
<>
|
||||
<div className="p-1">{"|"}</div>
|
||||
<div
|
||||
className="cursor-pointer p-2 text-primary hover:rounded-lg hover:bg-secondary"
|
||||
onClick={onSelectAllObjects}
|
||||
>
|
||||
{t("select_all", { ns: "views/events" })}
|
||||
</div>
|
||||
</>
|
||||
)}
|
||||
</div>
|
||||
{isAdmin && (
|
||||
<div className="flex items-center gap-1 md:gap-2">
|
||||
|
||||
@ -52,7 +52,7 @@ import {
|
||||
useRef,
|
||||
useState,
|
||||
} from "react";
|
||||
import { isDesktop } from "react-device-detect";
|
||||
import { isDesktop, isMobileOnly } from "react-device-detect";
|
||||
import { Trans, useTranslation } from "react-i18next";
|
||||
import {
|
||||
LuFolderCheck,
|
||||
@ -370,10 +370,10 @@ export default function FaceLibrary() {
|
||||
/>
|
||||
{selectedFaces?.length > 0 ? (
|
||||
<div className="flex items-center justify-center gap-2">
|
||||
<div className="mx-1 flex w-48 items-center justify-center text-sm text-muted-foreground">
|
||||
<div className="mx-1 flex w-auto items-center justify-center text-sm text-muted-foreground">
|
||||
<div className="p-1">
|
||||
{t("selected", {
|
||||
ns: "views/event",
|
||||
ns: "views/events",
|
||||
count: selectedFaces.length,
|
||||
})}
|
||||
</div>
|
||||
@ -384,6 +384,24 @@ export default function FaceLibrary() {
|
||||
>
|
||||
{t("button.unselect", { ns: "common" })}
|
||||
</div>
|
||||
{selectedFaces.length <
|
||||
(pageToggle === "train"
|
||||
? trainImages.length
|
||||
: faceImages.length) && (
|
||||
<>
|
||||
<div className="p-1">{"|"}</div>
|
||||
<div
|
||||
className="cursor-pointer p-2 text-primary hover:rounded-lg hover:bg-secondary"
|
||||
onClick={() =>
|
||||
setSelectedFaces([
|
||||
...(pageToggle === "train" ? trainImages : faceImages),
|
||||
])
|
||||
}
|
||||
>
|
||||
{t("select_all", { ns: "views/events" })}
|
||||
</div>
|
||||
</>
|
||||
)}
|
||||
</div>
|
||||
<Button
|
||||
className="flex gap-2"
|
||||
@ -482,6 +500,18 @@ function LibrarySelector({
|
||||
[renameFace],
|
||||
);
|
||||
|
||||
const pageTitle = useMemo(() => {
|
||||
if (pageToggle != "train") {
|
||||
return pageToggle;
|
||||
}
|
||||
|
||||
if (isMobileOnly) {
|
||||
return t("train.titleShort");
|
||||
}
|
||||
|
||||
return t("train.title");
|
||||
}, [pageToggle, t]);
|
||||
|
||||
return (
|
||||
<>
|
||||
<Dialog
|
||||
@ -532,7 +562,7 @@ function LibrarySelector({
|
||||
<DropdownMenu modal={false}>
|
||||
<DropdownMenuTrigger asChild>
|
||||
<Button className="flex justify-between smart-capitalize">
|
||||
{pageToggle == "train" ? t("train.title") : pageToggle}
|
||||
{pageTitle}
|
||||
<span className="ml-2 text-primary-variant">
|
||||
({(pageToggle && faceData?.[pageToggle]?.length) || 0})
|
||||
</span>
|
||||
|
||||
@ -421,10 +421,10 @@ export default function ModelTrainingView({ model }: ModelTrainingViewProps) {
|
||||
isMobileOnly && "justify-between",
|
||||
)}
|
||||
>
|
||||
<div className="flex w-48 items-center justify-center text-sm text-muted-foreground">
|
||||
<div className="flex w-auto items-center justify-center text-sm text-muted-foreground md:w-auto">
|
||||
<div className="p-1">
|
||||
{t("selected", {
|
||||
ns: "views/event",
|
||||
ns: "views/events",
|
||||
count: selectedImages.length,
|
||||
})}
|
||||
</div>
|
||||
@ -435,6 +435,26 @@ export default function ModelTrainingView({ model }: ModelTrainingViewProps) {
|
||||
>
|
||||
{t("button.unselect", { ns: "common" })}
|
||||
</div>
|
||||
{selectedImages.length <
|
||||
(pageToggle === "train"
|
||||
? trainImages?.length || 0
|
||||
: dataset?.[pageToggle]?.length || 0) && (
|
||||
<>
|
||||
<div className="p-1">{"|"}</div>
|
||||
<div
|
||||
className="cursor-pointer p-2 text-primary hover:rounded-lg hover:bg-secondary"
|
||||
onClick={() =>
|
||||
setSelectedImages([
|
||||
...(pageToggle === "train"
|
||||
? trainImages || []
|
||||
: dataset?.[pageToggle] || []),
|
||||
])
|
||||
}
|
||||
>
|
||||
{t("select_all", { ns: "views/events" })}
|
||||
</div>
|
||||
</>
|
||||
)}
|
||||
</div>
|
||||
<Button
|
||||
className="flex gap-2"
|
||||
|
||||
@ -572,6 +572,8 @@ export default function SearchView({
|
||||
selectedObjects={selectedObjects}
|
||||
setSelectedObjects={setSelectedObjects}
|
||||
pullLatestData={refresh}
|
||||
onSelectAllObjects={onSelectAllObjects}
|
||||
totalItems={uniqueResults.length}
|
||||
/>
|
||||
</div>
|
||||
)}
|
||||
|
||||
Loading…
Reference in New Issue
Block a user