Merge 8f6e083420 into 47a06c8b30

.cspell/frigate-dictionary.txt

@@ -162,7 +162,6 @@ mpegts
 mqtt
 mse
 msenc
-muxing
 namedtuples
 nbytes
 nchw
@@ -198,8 +197,6 @@ OWASP
 paddleocr
 paho
 passwordless
-PCMA
-PCMU
 popleft
 posthog
 postprocess
@@ -225,9 +222,7 @@ radeontop
 rawvideo
 rcond
 RDONLY
-realmonitor
 rebranded
-recvonly
 referer
 reindex
 Reolink
@@ -244,11 +239,8 @@ rocminfo
 rootfs
 rtmp
 RTSP
-rtsps
-rtspx
 ruamel
 scroller
-sendonly
 setproctitle
 setpts
 shms
@@ -259,7 +251,6 @@ SNDMORE
 socs
 sqliteq
 sqlitevecq
-Srtp
 ssdlite
 statm
 stimeout

.devcontainer/devcontainer.json

@@ -6,19 +6,8 @@
   "initializeCommand": ".devcontainer/initialize.sh",
   "postCreateCommand": ".devcontainer/post_create.sh",
   "overrideCommand": false,
-  "remoteUser": "vscode",
-  "features": {
-    "ghcr.io/devcontainers/features/common-utils:2": {}
-    // Uncomment the following lines to use ONNX Runtime with CUDA support
-    // "ghcr.io/devcontainers/features/nvidia-cuda:1": {
-    //   "installCudnn": true,
-    //   "installNvtx": true,
-    //   "installToolkit": true,
-    //   "cudaVersion": "12.5",
-    //   "cudnnVersion": "9.4.0.58"
-    // },
-    // "./features/onnxruntime-gpu": {}
-  },
+  "remoteUser": "root",
+  "features": {},
   "forwardPorts": [
     8971,
     5000,

.devcontainer/post_create.sh

@@ -13,8 +13,12 @@ fi
 # Frigate normal container runs as root, so it have permission to create
 # the folders. But the devcontainer runs as the host user, so we need to
 # create the folders and give the host user permission to write to them.
-sudo mkdir -p /media/frigate
-sudo chown -R "$(id -u):$(id -g)" /media/frigate
+SUDO=""
+if [[ $EUID -ne 0 ]]; then
+  SUDO="sudo"
+fi
+$SUDO mkdir -p /media/frigate
+$SUDO chown -R "$(id -u):$(id -g)" /media/frigate
 
 # When started as a service, LIBAVFORMAT_VERSION_MAJOR is defined in the
 # s6 service file. For dev, where frigate is started from an interactive

docker/main/Dockerfile

@@ -265,8 +265,8 @@ ENV PATH="/usr/local/go2rtc/bin:/usr/local/tempio/bin:/usr/local/nginx/sbin:${PA
 RUN --mount=type=bind,source=docker/main/install_deps.sh,target=/deps/install_deps.sh \
     /deps/install_deps.sh
 
-ENV DEFAULT_FFMPEG_VERSION="8.0"
-ENV INCLUDED_FFMPEG_VERSIONS="${DEFAULT_FFMPEG_VERSION}:7.0:5.0"
+ENV DEFAULT_FFMPEG_VERSION="7.0"
+ENV INCLUDED_FFMPEG_VERSIONS="${DEFAULT_FFMPEG_VERSION}:5.0"
 
 RUN wget -q https://bootstrap.pypa.io/get-pip.py -O get-pip.py \
     && sed -i 's/args.append("setuptools")/args.append("setuptools==77.0.3")/' get-pip.py \

docker/main/install_deps.sh

@@ -52,13 +52,9 @@ if [[ "${TARGETARCH}" == "amd64" ]]; then
     tar -xf ffmpeg.tar.xz -C /usr/lib/ffmpeg/5.0 --strip-components 1 amd64/bin/ffmpeg amd64/bin/ffprobe
     rm -rf ffmpeg.tar.xz
     mkdir -p /usr/lib/ffmpeg/7.0
-    wget -qO ffmpeg.tar.xz "https://github.com/NickM-27/FFmpeg-Builds/releases/download/autobuild-2024-09-19-12-51/ffmpeg-n7.0.2-18-g3e6cec1286-linux64-gpl-7.0.tar.xz"
+    wget -qO ffmpeg.tar.xz "https://github.com/NickM-27/FFmpeg-Builds/releases/download/autobuild-2026-03-19-13-03/ffmpeg-n7.1.3-43-g5a1f107b4c-linux64-gpl-7.1.tar.xz"
     tar -xf ffmpeg.tar.xz -C /usr/lib/ffmpeg/7.0 --strip-components 1 amd64/bin/ffmpeg amd64/bin/ffprobe
     rm -rf ffmpeg.tar.xz
-    mkdir -p /usr/lib/ffmpeg/8.0
-    wget -qO ffmpeg.tar.xz "https://github.com/NickM-27/FFmpeg-Builds/releases/download/autobuild-2026-06-02-14-20/ffmpeg-n8.1.1-9-g58d4114d36-linux64-gpl-8.1.tar.xz"
-    tar -xf ffmpeg.tar.xz -C /usr/lib/ffmpeg/8.0 --strip-components 1 amd64/bin/ffmpeg amd64/bin/ffprobe
-    rm -rf ffmpeg.tar.xz
 fi
 
 # ffmpeg -> arm64
@@ -68,13 +64,9 @@ if [[ "${TARGETARCH}" == "arm64" ]]; then
     tar -xf ffmpeg.tar.xz -C /usr/lib/ffmpeg/5.0 --strip-components 1 arm64/bin/ffmpeg arm64/bin/ffprobe
     rm -f ffmpeg.tar.xz
     mkdir -p /usr/lib/ffmpeg/7.0
-    wget -qO ffmpeg.tar.xz "https://github.com/NickM-27/FFmpeg-Builds/releases/download/autobuild-2024-09-19-12-51/ffmpeg-n7.0.2-18-g3e6cec1286-linuxarm64-gpl-7.0.tar.xz"
+    wget -qO ffmpeg.tar.xz "https://github.com/NickM-27/FFmpeg-Builds/releases/download/autobuild-2026-03-19-13-03/ffmpeg-n7.1.3-43-g5a1f107b4c-linuxarm64-gpl-7.1.tar.xz"
     tar -xf ffmpeg.tar.xz -C /usr/lib/ffmpeg/7.0 --strip-components 1 arm64/bin/ffmpeg arm64/bin/ffprobe
     rm -f ffmpeg.tar.xz
-    mkdir -p /usr/lib/ffmpeg/8.0
-    wget -qO ffmpeg.tar.xz "https://github.com/NickM-27/FFmpeg-Builds/releases/download/autobuild-2026-06-02-14-20/ffmpeg-n8.1.1-9-g58d4114d36-linuxarm64-gpl-8.1.tar.xz"
-    tar -xf ffmpeg.tar.xz -C /usr/lib/ffmpeg/8.0 --strip-components 1 arm64/bin/ffmpeg arm64/bin/ffprobe
-    rm -f ffmpeg.tar.xz
 fi
 
 # arch specific packages

docker/main/rootfs/usr/local/ffmpeg/get_ffmpeg_path.py

@@ -5,7 +5,11 @@ from typing import Any
 from ruamel.yaml import YAML
 
 sys.path.insert(0, "/opt/frigate")
-from frigate.util.config import find_config_file, resolve_ffmpeg_path
+from frigate.const import (
+    DEFAULT_FFMPEG_VERSION,
+    INCLUDED_FFMPEG_VERSIONS,
+)
+from frigate.util.config import find_config_file
 
 sys.path.remove("/opt/frigate")
 
@@ -25,4 +29,9 @@ except FileNotFoundError:
     config: dict[str, Any] = {}
 
 path = config.get("ffmpeg", {}).get("path", "default")
-print(resolve_ffmpeg_path(path, "ffmpeg"))
+if path == "default":
+    print(f"/usr/lib/ffmpeg/{DEFAULT_FFMPEG_VERSION}/bin/ffmpeg")
+elif path in INCLUDED_FFMPEG_VERSIONS:
+    print(f"/usr/lib/ffmpeg/{path}/bin/ffmpeg")
+else:
+    print(f"{path}/bin/ffmpeg")

docker/main/rootfs/usr/local/go2rtc/create_config.py

@@ -11,10 +11,12 @@ sys.path.insert(0, "/opt/frigate")
 from frigate.config.env import substitute_frigate_vars
 from frigate.const import (
     BIRDSEYE_PIPE,
+    DEFAULT_FFMPEG_VERSION,
+    INCLUDED_FFMPEG_VERSIONS,
     LIBAVFORMAT_VERSION_MAJOR,
 )
 from frigate.ffmpeg_presets import parse_preset_hardware_acceleration_encode
-from frigate.util.config import find_config_file, resolve_ffmpeg_path
+from frigate.util.config import find_config_file
 from frigate.util.services import is_restricted_go2rtc_source
 
 sys.path.remove("/opt/frigate")
@@ -79,7 +81,12 @@ if go2rtc_config.get("rtsp", {}).get("password") is not None:
 
 # ensure ffmpeg path is set correctly
 path = config.get("ffmpeg", {}).get("path", "default")
-ffmpeg_path = resolve_ffmpeg_path(path, "ffmpeg")
+if path == "default":
+    ffmpeg_path = f"/usr/lib/ffmpeg/{DEFAULT_FFMPEG_VERSION}/bin/ffmpeg"
+elif path in INCLUDED_FFMPEG_VERSIONS:
+    ffmpeg_path = f"/usr/lib/ffmpeg/{path}/bin/ffmpeg"
+else:
+    ffmpeg_path = f"{path}/bin/ffmpeg"
 
 if go2rtc_config.get("ffmpeg") is None:
     go2rtc_config["ffmpeg"] = {"bin": ffmpeg_path}

docs/docs/configuration/advanced.md

@@ -1,6 +1,7 @@
 ---
-id: system
-title: System
+id: advanced
+title: Advanced Options
+sidebar_label: Advanced Options
 ---
 
 import ConfigTabs from "@site/src/components/ConfigTabs";
@@ -201,7 +202,7 @@ model:
 
 :::warning
 
-If the labelmap is customized then the labels used for alerts will need to be adjusted as well. See [alert labels](../review.md#restricting-alerts-to-specific-labels) for more info.
+If the labelmap is customized then the labels used for alerts will need to be adjusted as well. See [alert labels](../configuration/review.md#restricting-alerts-to-specific-labels) for more info.
 
 :::
 
@@ -233,16 +234,26 @@ Some labels have special handling and modifications can disable functionality.
 
 ## Network Configuration
 
-Frigate exposes a few networking options. IPv6 and the listen ports are set in the `networking` configuration (or from the Settings UI); more advanced changes require [customizing the bundled Nginx configuration](#customizing-the-nginx-configuration).
+Changes to Frigate's internal network configuration can be made by bind mounting nginx.conf into the container. For example:
+
+```yaml
+services:
+  frigate:
+    container_name: frigate
+    ...
+    volumes:
+      ...
+      - /path/to/your/nginx.conf:/usr/local/nginx/conf/nginx.conf
+```
 
 ### Enabling IPv6
 
-By default Frigate listens on IPv4 only. To also listen on IPv6 — on port `5000`, and on `8971` when TLS is configured — enable it in the `networking` configuration.
+IPv6 is disabled by default. Enable it in the Frigate configuration.
 
 <ConfigTabs>
 <TabItem value="ui">
 
-Navigate to <NavPath path="Settings > System > Networking" /> and enable **IPv6**.
+Navigate to <NavPath path="Settings > System > Networking" /> and expand **IPv6 configuration**, then enable **Enable IPv6**.
 
 </TabItem>
 <TabItem value="yaml">
@@ -250,7 +261,7 @@ Navigate to <NavPath path="Settings > System > Networking" /> and enable **IPv6*
 ```yaml
 networking:
   ipv6:
-    enabled: true
+    enabled: True
 ```
 
 </TabItem>
@@ -289,20 +300,6 @@ This setting is for advanced users. For the majority of use cases it's recommend
 
 :::
 
-### Customizing the Nginx configuration
-
-More advanced changes to Frigate's internal network configuration can be made by bind mounting your own `nginx.conf` into the container. For example:
-
-```yaml
-services:
-  frigate:
-    container_name: frigate
-    ...
-    volumes:
-      ...
-      - /path/to/your/nginx.conf:/usr/local/nginx/conf/nginx.conf
-```
-
 ## Base path
 
 By default, Frigate runs at the root path (`/`). However some setups require to run Frigate under a custom path prefix (e.g. `/frigate`), especially when Frigate is located behind a reverse proxy that requires path-based routing.

docs/docs/configuration/autotracking.md

@@ -167,7 +167,7 @@ A fast [detector](object_detectors.md) is recommended. CPU detectors will not pe
 
 A full-frame zone in `required_zones` is not recommended, especially if you've calibrated your camera and there are `movement_weights` defined in the configuration file. Frigate will continue to autotrack an object that has entered one of the `required_zones`, even if it moves outside of that zone.
 
-Some users have found it helpful to adjust the zone `inertia` value. See the [configuration reference](advanced/reference.md).
+Some users have found it helpful to adjust the zone `inertia` value. See the [configuration reference](index.md).
 
 ## Zooming
 

docs/docs/configuration/cameras.md

@@ -179,7 +179,7 @@ The FeatureList on the [ONVIF Conformant Products Database](https://www.onvif.or
 | Hikvision DS-2DE3A404IWG-E/W |      ✅      |      ✅      |                                                                                                                                                                                                                                                                   |
 | Reolink                      |      ✅      |      ❌      |                                                                                                                                                                                                                                                                   |
 | Speco O8P32X                 |      ✅      |      ❌      |                                                                                                                                                                                                                                                                   |
-| Sunba 405-D20X               |      ✅      |      ❌      | Incomplete ONVIF support reported on original, and 4k models. All models are suspected incompatible.                                                                                                                                                              |
+| Sunba 405-D20X               |      ✅      |      ❌      | Incomplete ONVIF support reported on original, and 4k models. All models are suspected incompatable.                                                                                                                                                              |
 | Tapo                         |      ✅      |      ❌      | Many models supported, ONVIF Service Port: 2020                                                                                                                                                                                                                   |
 | Uniview IPC672LR-AX4DUPK     |      ✅      |      ❌      | Firmware says FOV relative movement is supported, but camera doesn't actually move when sending ONVIF commands                                                                                                                                                    |
 | Uniview IPC6612SR-X33-VG     |      ✅      |      ✅      | Leave `calibrate_on_startup` as `False`. A user has reported that zooming with `absolute` is working.                                                                                                                                                             |

docs/docs/configuration/go2rtc.md

@@ -1,70 +0,0 @@
----
-id: go2rtc
-title: go2rtc
----
-
-import ConfigTabs from "@site/src/components/ConfigTabs";
-import TabItem from "@theme/TabItem";
-import NavPath from "@site/src/components/NavPath";
-
-Frigate uses the bundled go2rtc to power a number of key features:
-
-- WebRTC or MSE for live viewing with audio, higher resolutions and frame rates than the jsmpeg stream which is limited to the detect stream and does not support audio
-- Live stream support for cameras in Home Assistant Integration
-- RTSP relay for use with other consumers to reduce the number of connections to your camera streams
-
-:::tip[Most users no longer need to configure go2rtc by hand]
-
-The **camera setup wizard** is the recommended way to add cameras. Click **Add Camera** in <NavPath path="Settings > Global configuration > Camera management" />, and the wizard probes your camera and writes its configuration for you — including the go2rtc restream and the live stream mapping — so go2rtc is set up automatically.
-
-This guide is mainly useful if you are **upgrading from an older version and have existing cameras that don't yet use go2rtc**, or if you want to fine-tune a stream by hand (for example, to transcode a codec your browser can't play). The [go2rtc troubleshooting guide](/troubleshooting/go2rtc) applies regardless of how your cameras were added.
-
-:::
-
-## Adding a go2rtc stream manually
-
-If you added your cameras with the wizard, go2rtc is already configured — you can skip straight to [troubleshooting](/troubleshooting/go2rtc). The steps below are for upgrading users with existing cameras that aren't using go2rtc yet, or for anyone who prefers to configure a stream by hand.
-
-Configure go2rtc to connect to your camera by adding the stream you want to use for live view. Avoid changing any other parts of your config at this step. Note that go2rtc supports [many different stream types](https://github.com/AlexxIT/go2rtc/tree/v1.9.13#module-streams), not just rtsp.
-
-:::tip
-
-For the best experience, set the stream name under `go2rtc` to match the name of your camera so that Frigate will automatically map it and be able to use better live view options for the camera.
-
-See [the live view docs](/configuration/live#setting-streams-for-live-ui) for more information.
-
-:::
-
-<ConfigTabs>
-<TabItem value="ui">
-
-Navigate to <NavPath path="Settings > System > go2rtc Streams" /> and click **Add stream**. Give the stream a name (use the camera's name so Frigate can auto-map it - for example, if your camera's name is `back`, use `back` as the go2rtc stream name), then paste the camera's stream URL into the **Source** field. Save the section.
-
-</TabItem>
-<TabItem value="yaml">
-
-```yaml
-go2rtc:
-  streams:
-    back:
-      - rtsp://user:password@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2
-```
-
-</TabItem>
-</ConfigTabs>
-
-After adding this to the config, restart Frigate and try to watch the live stream for a single camera by clicking on it from the dashboard. It should look much clearer and more fluent than the original jsmpeg stream.
-
-### Next steps
-
-1. If the stream you added to go2rtc is also used by Frigate for the `record` or `detect` role, you can migrate your config to pull from the RTSP restream to reduce the number of connections to your camera as shown [here](/configuration/restream#reduce-connections-to-camera).
-2. You can [set up WebRTC](/configuration/live#webrtc-extra-configuration) if your camera supports two-way talk. Note that WebRTC only supports specific audio formats and may require opening ports on your router.
-3. If your camera supports two-way talk, you must configure your stream with `#backchannel=0` to prevent go2rtc from blocking other applications from accessing the camera's audio output. See [preventing go2rtc from blocking two-way audio](/configuration/restream#two-way-talk-restream) in the restream documentation.
-
-## Troubleshooting
-
-If your stream won't play, has no audio, uses excessive CPU, or otherwise misbehaves, see the dedicated [go2rtc troubleshooting guide](/troubleshooting/go2rtc). It walks through how to isolate where the problem is and covers the most common issues — unsupported codecs, H.265/HEVC, audio, WebRTC and two-way talk, hardware-accelerated transcoding with FFmpeg 8, and camera-specific quirks.
-
-## Homekit Configuration
-
-To add camera streams to Homekit Frigate must be configured in docker to use `host` networking mode. Once that is done, you can use the go2rtc WebUI (accessed via port 1984, which is disabled by default) to share export a camera to Homekit. Any changes made will automatically be saved to `/config/go2rtc_homekit.yml`.

docs/docs/configuration/hardware_acceleration_video.md

@@ -72,7 +72,7 @@ Frigate can utilize most Intel integrated GPUs and Arc GPUs to accelerate video
 
 :::note
 
-The default driver is `iHD`. You may need to change the driver to `i965` by adding the following environment variable `LIBVA_DRIVER_NAME=i965` to your docker-compose file or [in the `config.yml` for HA App users](advanced/system.md#environment_vars).
+The default driver is `iHD`. You may need to change the driver to `i965` by adding the following environment variable `LIBVA_DRIVER_NAME=i965` to your docker-compose file or [in the `config.yml` for HA App users](advanced.md#environment_vars).
 
 See [The Intel Docs](https://www.intel.com/content/www/us/en/support/articles/000005505/processors.html) to figure out what generation your CPU is.
 
@@ -169,7 +169,7 @@ Frigate can utilize modern AMD integrated GPUs and AMD GPUs to accelerate video
 
 ### Configuring Radeon Driver
 
-You need to change the driver to `radeonsi` by adding the following environment variable `LIBVA_DRIVER_NAME=radeonsi` to your docker-compose file or [in the `config.yml` for HA App users](advanced/system.md#environment_vars).
+You need to change the driver to `radeonsi` by adding the following environment variable `LIBVA_DRIVER_NAME=radeonsi` to your docker-compose file or [in the `config.yml` for HA App users](advanced.md#environment_vars).
 
 ### Via VAAPI
 
@@ -193,7 +193,7 @@ ffmpeg:
 
 ## NVIDIA GPUs
 
-While older GPUs may work, it is recommended to use modern, supported GPUs. NVIDIA provides a [matrix of supported GPUs and features](https://developer.nvidia.com/video-encode-and-decode-gpu-support-matrix-new). If your card is on the list and supports CUVID/NVDEC, it will most likely work with Frigate for decoding. However, you must also use [a driver version that will work with FFmpeg](https://github.com/FFmpeg/nv-codec-headers/blob/master/README). Older driver versions may be missing symbols and fail to work, and older cards are not supported by newer driver versions. The only way around this is to [provide your own FFmpeg](/configuration/advanced/system#custom-ffmpeg-build) that will work with your driver version, but this is unsupported and may not work well if at all.
+While older GPUs may work, it is recommended to use modern, supported GPUs. NVIDIA provides a [matrix of supported GPUs and features](https://developer.nvidia.com/video-encode-and-decode-gpu-support-matrix-new). If your card is on the list and supports CUVID/NVDEC, it will most likely work with Frigate for decoding. However, you must also use [a driver version that will work with FFmpeg](https://github.com/FFmpeg/nv-codec-headers/blob/master/README). Older driver versions may be missing symbols and fail to work, and older cards are not supported by newer driver versions. The only way around this is to [provide your own FFmpeg](/configuration/advanced#custom-ffmpeg-build) that will work with your driver version, but this is unsupported and may not work well if at all.
 
 A more complete list of cards and their compatible drivers is available in the [driver release readme](https://download.nvidia.com/XFree86/Linux-x86_64/525.85.05/README/supportedchips.html).
 

docs/docs/configuration/index.md

@@ -1,5 +1,5 @@
 ---
-id: config
+id: index
 title: Frigate Configuration
 ---
 
@@ -57,7 +57,7 @@ VS Code supports JSON schemas for automatically validating configuration files.
 
 ## Environment Variable Substitution
 
-Frigate supports the use of environment variables starting with `FRIGATE_` **only** where specifically indicated in the [reference config](./advanced/reference.md). For example, the following values can be replaced at runtime by using environment variables:
+Frigate supports the use of environment variables starting with `FRIGATE_` **only** where specifically indicated in the [reference config](./reference.md). For example, the following values can be replaced at runtime by using environment variables:
 
 ```yaml
 mqtt:
@@ -92,7 +92,7 @@ genai:
 
 ## Common configuration examples
 
-Here are some common starter configuration examples. These can be configured through the Settings UI or via YAML. Refer to the [reference config](./advanced/reference.md) for detailed information about all config values.
+Here are some common starter configuration examples. These can be configured through the Settings UI or via YAML. Refer to the [reference config](./reference.md) for detailed information about all config values.
 
 ### Raspberry Pi Home Assistant App with USB Coral
 

docs/docs/configuration/live.md

@@ -11,7 +11,7 @@ Frigate intelligently displays your camera streams on the Live view dashboard. B
 
 ### Live View technologies
 
-Frigate intelligently uses three different streaming technologies to display your camera streams on the dashboard and the single camera view, switching between available modes based on network bandwidth, player errors, or required features like two-way talk. The highest quality and fluency of the Live view requires the bundled `go2rtc` to be [configured](/configuration/go2rtc).
+Frigate intelligently uses three different streaming technologies to display your camera streams on the dashboard and the single camera view, switching between available modes based on network bandwidth, player errors, or required features like two-way talk. The highest quality and fluency of the Live view requires the bundled `go2rtc` to be configured as shown in the [step by step guide](/guides/configuring_go2rtc).
 
 The jsmpeg live view will use more browser and client GPU resources. Using go2rtc is highly recommended and will provide a superior experience.
 

docs/docs/configuration/motion_detection.md

@@ -200,4 +200,4 @@ When the skip threshold is exceeded, **no motion is reported** for that frame, m
 
 ## Reviewing Detected Motion
 
-To review what the detector picked up — or to search past recordings for motion in a specific region — see [Reviewing Motion](/usage/review#reviewing-motion) on the Review page.
+To review what the detector picked up — or to search past recordings for motion in a specific region — see [Reviewing Motion](review.md#reviewing-motion) on the Review page.

docs/docs/configuration/object_detectors.md

@@ -660,7 +660,7 @@ Note that the labelmap uses a subset of the complete COCO label set that has onl
 
 #### RF-DETR
 
-[RF-DETR](https://github.com/roboflow/rf-detr) is a DETR based model. The ONNX exported models are supported, but not included by default. See [the models section](#downloading-rf-detr-model) for more information on downloading the RF-DETR model for use in Frigate.
+[RF-DETR](https://github.com/roboflow/rf-detr) is a DETR based model. The ONNX exported models are supported, but not included by default. See [the models section](#downloading-rf-detr-model) for more informatoin on downloading the RF-DETR model for use in Frigate.
 
 :::warning
 

docs/docs/configuration/objects.md

@@ -158,4 +158,4 @@ Models for both CPU and EdgeTPU (Coral) are bundled in the image. You can use yo
 - EdgeTPU Model: `/edgetpu_model.tflite`
 - Labels: `/labelmap.txt`
 
-You also need to update the [model config](advanced/system.md#model) if they differ from the defaults.
+You also need to update the [model config](advanced.md#model) if they differ from the defaults.

docs/docs/configuration/record.md

@@ -11,12 +11,6 @@ Recordings can be enabled and are stored at `/media/frigate/recordings`. The fol
 
 New recording segments are written from the camera stream to cache, they are only moved to disk if they match the setup recording retention policy.
 
-:::tip
-
-To keep a specific clip beyond your retention window, [export](/usage/exports) it rather than increasing retention for the whole camera. Exports are saved separately and are never removed by retention.
-
-:::
-
 H265 recordings can be viewed in Chrome 108+, Edge and Safari only. All other browsers require recordings to be encoded with H264.
 
 ## Common recording configurations

docs/docs/configuration/reference.md

@@ -147,13 +147,6 @@ auth:
   # NOTE: changing this value will not automatically update password hashes, you
   #       will need to change each user password for it to apply
   hash_iterations: 600000
-  # Optional: Map roles to the list of cameras each role can access (default: none)
-  # NOTE: An empty list grants the role access to all cameras. Roles defined here can be
-  #       referenced by proxy header role mapping or assigned to native users.
-  roles:
-    my_custom_role:
-      - front_door
-      - back_yard
 
 # Optional: model modifications
 # NOTE: The default values are for the EdgeTPU detector.
@@ -173,9 +166,6 @@ model:
   # Required: Object detection model input tensor format
   # Valid values are nhwc or nchw (default: shown below)
   input_tensor: nhwc
-  # Optional: Data type of the model input tensor
-  # Valid values are float, float_denorm, or int (default: shown below)
-  input_dtype: int
   # Required: Object detection model type, currently only used with the OpenVINO detector
   # Valid values are ssd, yolox, yolonas (default: shown below)
   model_type: ssd
@@ -206,8 +196,6 @@ audio:
   #  - 500 - medium sensitivity
   #  - 1000 - low sensitivity
   min_volume: 500
-  # Optional: Number of threads to use for audio detection (default: shown below)
-  num_threads: 2
   # Optional: Types of audio to listen for (default: shown below)
   listen:
     - bark
@@ -269,7 +257,7 @@ birdseye:
 # More information about presets at https://docs.frigate.video/configuration/ffmpeg_presets
 ffmpeg:
   # Optional: ffmpeg binary path (default: shown below)
-  # can also be set to `8.0` or `5.0` to specify one of the included versions
+  # can also be set to `7.0` or `5.0` to specify one of the included versions
   # or can be set to any path that holds `bin/ffmpeg` & `bin/ffprobe`
   path: "default"
   # Optional: global ffmpeg args (default: shown below)
@@ -481,8 +469,6 @@ review:
       - Animals in the garden
     # Optional: Preferred response language (default: English)
     preferred_language: English
-    # Optional: Save thumbnails sent to the GenAI provider for review/debugging purposes (default: shown below)
-    debug_save_thumbnails: False
 
 # Optional: Motion configuration
 # NOTE: Can be overridden at the camera level
@@ -514,8 +500,6 @@ motion:
   #  - 30 - medium sensitivity
   #  - 50 - low sensitivity
   contour_area: 10
-  # Optional: Alpha blending factor used in frame differencing for motion calculation (default: shown below)
-  delta_alpha: 0.2
   # Optional: Alpha value passed to cv2.accumulateWeighted when averaging frames to determine the background (default: shown below)
   # Higher values mean the current frame impacts the average a lot, and a new object will be averaged into the background faster.
   # Low values will cause things like moving shadows to be detected as motion for longer.
@@ -588,8 +572,6 @@ record:
     timelapse_args: "-vf setpts=0.04*PTS -r 30"
     # Optional: Global hardware acceleration settings for timelapse exports. (default: inherit)
     hwaccel_args: auto
-    # Optional: Maximum number of export jobs to process at the same time (default: shown below)
-    max_concurrent: 3
   # Optional: Recording Preview Settings
   preview:
     # Optional: Quality of recording preview (default: shown below).
@@ -656,11 +638,6 @@ snapshots:
   retain:
     # Required: Default retention days (default: shown below)
     default: 10
-    # Optional: Mode for retention. (default: shown below)
-    #   all - save all snapshots regardless of activity
-    #   motion - save snapshots for any detected motion
-    #   active_objects - save snapshots for active/moving objects
-    mode: motion
     # Optional: Per object retention days
     objects:
       person: 15
@@ -737,42 +714,28 @@ lpr:
   enhancement: 0
   # Optional: Save plate images to /media/frigate/clips/lpr for debugging purposes (default: shown below)
   debug_save_plates: False
-  # Optional: List of regex replacement rules to normalize detected plates before matching (default: none)
-  replace_rules:
-    # Required: regex pattern to match in the detected plate
-    - pattern: "O"
-      # Required: string to replace the matched pattern with
-      replacement: "0"
+  # Optional: List of regex replacement rules to normalize detected plates (default: shown below)
+  replace_rules: {}
 
-# Optional: Configuration for AI / LLM providers
+# Optional: Configuration for AI / LLM provider
 # WARNING: Depending on the provider, this will send thumbnails over the internet
 # to Google or OpenAI's LLMs to generate descriptions. GenAI features can be configured at
 # the camera level to enhance privacy for indoor cameras.
-# NOTE: genai is a map of named providers. Each key is a name you choose for the provider,
-#       and each role (chat, descriptions, embeddings) may be assigned to exactly one provider.
 genai:
-  # Required: name of the provider (chosen by you, used to reference it elsewhere)
-  my_provider:
-    # Required: Provider must be one of ollama, openai, azure_openai, gemini, or llamacpp
-    provider: ollama
-    # Required if provider is ollama. May also be used for an OpenAI API compatible backend with the openai provider.
-    base_url: http://localhost::11434
-    # Required if gemini or openai
-    api_key: "{FRIGATE_GENAI_API_KEY}"
-    # Required: The model to use with the provider.
-    model: gemini-1.5-flash
-    # Optional: Roles this provider handles (default: shown below)
-    # Each role (chat, descriptions, embeddings) must be assigned to exactly one provider.
-    roles:
-      - chat
-      - descriptions
-      - embeddings
-    # Optional additional args to pass to the GenAI Provider (default: None)
-    provider_options:
-      keep_alive: -1
-    # Optional: Options to pass during inference calls (default: {})
-    runtime_options:
-      temperature: 0.7
+  # Required: Provider must be one of ollama, gemini, or openai
+  provider: ollama
+  # Required if provider is ollama. May also be used for an OpenAI API compatible backend with the openai provider.
+  base_url: http://localhost::11434
+  # Required if gemini or openai
+  api_key: "{FRIGATE_GENAI_API_KEY}"
+  # Required: The model to use with the provider.
+  model: gemini-1.5-flash
+  # Optional additional args to pass to the GenAI Provider (default: None)
+  provider_options:
+    keep_alive: -1
+  # Optional: Options to pass during inference calls (default: {})
+  runtime_options:
+    temperature: 0.7
 
 # Optional: Configuration for audio transcription
 # NOTE: only the enabled option can be overridden at the camera level
@@ -945,9 +908,6 @@ cameras:
         inertia: 3
         # Optional: Number of seconds that an object must loiter to be considered in the zone (default: shown below)
         loitering_time: 0
-        # Optional: Minimum speed required for an object to be considered present in the zone (default: none)
-        # In real-world units if distances are set. Used for speed-based zone triggers.
-        speed_threshold: 2.5
         # Optional: List of objects that can trigger this zone (default: all tracked objects)
         objects:
           - person
@@ -985,9 +945,6 @@ cameras:
       order: 0
       # Optional: Whether or not to show the camera in the Frigate UI (default: shown below)
       dashboard: True
-      # Optional: Whether this camera is visible in review (the review page and its camera
-      # filter, motion review, and the history view) (default: shown below)
-      review: True
 
     # Optional: connect to ONVIF camera
     # to enable PTZ controls.

docs/docs/configuration/review.md

@@ -133,4 +133,58 @@ Because zones don't apply to audio, audio labels will always be marked as a dete
 
 ## Reviewing Motion
 
-The Review page can also surface periods of motion that didn't produce a tracked object, and lets you search past recordings for motion in a region you draw. See [Reviewing Motion](/usage/review#reviewing-motion) in the Usage docs for how to use **Motion Previews** and **Motion Search**, and [Tuning Motion Detection](motion_detection.md) for configuring the underlying motion detector.
+The Review page also can show periods of motion that didn't produce a tracked object, and provides a way to search past recordings for motion in a specific region. These tools complement the alerts and detections workflow above — see [Tuning Motion Detection](motion_detection.md) for how the underlying motion detector is configured.
+
+### Motion Previews
+
+The Motion Previews pane shows preview clips for periods of significant motion that did not produce a tracked object. It is useful for spotting things that motion detection picked up but object detection did not, which can help validate tuning or catch missed objects.
+
+On the <NavPath path="Review > Motion" /> page, click the kebab menu on a camera and choose **Motion Previews**. Each card represents a continuous range of motion-only activity and plays back the recorded preview for that range. A heatmap overlay dims areas of the frame with no motion so the moving regions stand out.
+
+The pane provides a few controls:
+
+- **Speed** — speeds up or slows down all of the preview clips at once.
+- **Dim** — controls how strongly non-motion areas are darkened by the heatmap overlay. Higher values increase motion area visibility.
+- **Filter** — opens a 16×16 grid overlaid on a snapshot of the camera. Select one or more cells to only show clips with motion in those regions. This is helpful for filtering out motion in areas like a busy street while keeping motion in your driveway.
+
+Clicking a preview clip seeks the recording player to that timestamp so you can review the full footage.
+
+### Motion Search
+
+Motion Search lets you scan recorded footage for changes inside a region of interest you draw on the camera. Unlike Motion Previews, which surfaces what Frigate's motion detector flagged in real time, Motion Search re-analyzes the saved recordings, so it can find changes that were missed (for example, an object that appeared while motion detection was paused by `lightning_threshold`, or in a region that is normally motion-masked).
+
+To start a search, open the Actions menu in History or click the kebab menu on a camera in the <NavPath path="Review > Motion" /> page and choose **Motion Search**. In the dialog:
+
+1. Pick the camera and time range to scan.
+2. Draw a polygon on the camera frame to define the region of interest.
+3. Adjust the search parameters if needed:
+
+| Field                     | Description                                                                                                                                                                                                                                                                                                    |
+| ------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| **Sensitivity Threshold** | Per-pixel luminance change required to count as motion inside the ROI. Behaves like Frigate's motion detection `threshold` setting.                                                                                                                                                                            |
+| **Minimum Change Area**   | Minimum percentage of the region of interest that must change for a frame to be considered significant. Raise it to ignore small movements (leaves, distant motion); lower it when the object you care about only covers a small slice of the ROI.                                                             |
+| **Frame Skip**            | Number of frames to skip between samples — at a camera recording 20 fps, a skip value of 20 takes motion samples roughly once per second. Higher values scan much faster and are usually the right choice; lower it only when you need to catch the exact appearance or disappearance of a fast-moving object. |
+| **Maximum Results**       | Maximum number of matching timestamps to return.                                                                                                                                                                                                                                                               |
+| **Parallel mode**         | Process multiple recording segments in parallel. Speeds up large time ranges at the cost of higher CPU usage.                                                                                                                                                                                                  |
+
+Once running, Frigate scans the recording segments that overlap the time range and reports timestamps where changes were detected inside the polygon, along with the percentage of the ROI that changed. Clicking a result seeks the player to that moment so you can review what happened.
+
+The status panel shows live progress and metrics such as how many segments were scanned, how many were skipped because no motion was recorded for that segment (using the stored motion heatmap), how many frames were decoded, and the total wall-clock time. Segments with no recorded motion in the selected ROI are skipped automatically, which is what makes searching long time ranges practical.
+
+#### Common use cases
+
+Frigate's main use case is to record and surface tracked objects, so Motion Search is most useful for the cases where object detection produced nothing — there is no object to find in Explore, but you suspect something happened.
+
+- **Locating an unattributed change.** You know something appeared, disappeared, or moved in a window of footage — a package now gone, a gate left open — but no detection points to it. A search returns the candidate timestamps instead of scrubbing the timeline by hand.
+- **An object that was never detected.** Something Frigate doesn't have a model label for, an object too small or distant to be detected, or movement in a region where detection isn't running. The activity left no tracked object but did change the pixels, so a search can still find it.
+- **Activity while detection was effectively paused.** Changes that occurred while object detection was disabled, motion was suppressed by `skip_motion_threshold`, or inside an area covered by a motion mask, won't appear as review items or tracked objects but can be recovered by searching the recordings directly.
+
+#### Expected performance
+
+Motion Search analyzes the saved recordings on demand rather than reading a pre-built index, so a search over a long range takes longer than browsing Motion Previews. Cost scales mainly with how much footage has to be examined: segments with no recorded motion in your ROI are skipped using the stored motion heatmap (shown as "segments skipped" in the status panel), so a quiet range finishes quickly while a busy one takes longer.
+
+To increase the speed of searches:
+
+- Draw a tight ROI. Because **Minimum Change Area** is measured as a percentage of the region you draw, a tight ROI around where you expect the change makes the object fill a larger share of the area, so it clears the threshold more easily. A loose ROI makes the same object a small fraction of the region, so it can fall below the threshold and be missed — forcing you to lower Minimum Change Area, which lets in more noise.
+- Keep Frame Skip high. A higher value samples fewer frames and speeds up the search considerably, while still landing within a few seconds of when the motion or object appeared — close enough to seek to in the recording. Only lower it when you need to pinpoint the exact frame something appears or disappears.
+- Use Parallel mode to shorten wall-clock time on multi-core systems, at the cost of higher CPU usage while it runs.

docs/docs/configuration/semantic_search.md

@@ -222,7 +222,12 @@ See the [Hardware Accelerated Enrichments](/configuration/hardware_acceleration_
 
 ## Usage and Best Practices
 
-For tips on getting the best results from Semantic Search — choosing between thumbnail and description search, phrasing queries effectively, and combining search with the other Explore filters — see [Usage and best practices](/usage/explore#usage-and-best-practices) in the Usage docs.
+1. Semantic Search is used in conjunction with the other filters available on the Explore page. Use a combination of traditional filtering and Semantic Search for the best results.
+2. Use the thumbnail search type when searching for particular objects in the scene. Use the description search type when attempting to discern the intent of your object.
+3. Because of how the AI models Frigate uses have been trained, the comparison between text and image embedding distances generally means that with multi-modal (`thumbnail` and `description`) searches, results matching `description` will appear first, even if a `thumbnail` embedding may be a better match. Play with the "Search Type" setting to help find what you are looking for. Note that if you are generating descriptions for specific objects or zones only, this may cause search results to prioritize the objects with descriptions even if the the ones without them are more relevant.
+4. Make your search language and tone closely match exactly what you're looking for. If you are using thumbnail search, **phrase your query as an image caption**. Searching for "red car" may not work as well as "red sedan driving down a residential street on a sunny day".
+5. Semantic search on thumbnails tends to return better results when matching large subjects that take up most of the frame. Small things like "cat" tend to not work well.
+6. Experiment! Find a tracked object you want to test and start typing keywords and phrases to see what works for you.
 
 ## Triggers
 

docs/docs/frigate/installation.md

@@ -600,7 +600,7 @@ There are several variants of the App available:
 
 If you are using hardware acceleration for ffmpeg, you **may** need to use the _Full Access_ variant of the App. This is because the Frigate App runs in a container with limited access to the host system. The _Full Access_ variant allows you to disable _Protection mode_ and give Frigate full access to the host system.
 
-You can also edit the Frigate configuration file through the [VS Code App](https://github.com/hassio-addons/addon-vscode) or similar. In that case, the configuration file will be at `/addon_configs/<addon_directory>/config.yml`, where `<addon_directory>` is specific to the variant of the Frigate App you are running. See the list of directories [here](../configuration/config.md#accessing-app-config-dir).
+You can also edit the Frigate configuration file through the [VS Code App](https://github.com/hassio-addons/addon-vscode) or similar. In that case, the configuration file will be at `/addon_configs/<addon_directory>/config.yml`, where `<addon_directory>` is specific to the variant of the Frigate App you are running. See the list of directories [here](../configuration/index.md#accessing-app-config-dir).
 
 ## Kubernetes
 
@@ -749,7 +749,7 @@ Failure to remap port 5000 on the host will result in the WebUI and all API endp
 
 :::
 
-Docker containers on macOS can be orchestrated by either [Docker Desktop](https://docs.docker.com/desktop/setup/install/mac-install/) or [OrbStack](https://orbstack.dev) (native Swift app). The difference in inference speeds is negligible, however CPU, power consumption and container start times will be lower on OrbStack because it is a native Swift application.
+Docker containers on macOS can be orchestrated by either [Docker Desktop](https://docs.docker.com/desktop/setup/install/mac-install/) or [OrbStack](https://orbstack.dev) (native swift app). The difference in inference speeds is negligable, however CPU, power consumption and container start times will be lower on OrbStack because it is a native Swift application.
 
 To allow Frigate to use the Apple Silicon Neural Engine / Processing Unit (NPU) the host must be running [Apple Silicon Detector](../configuration/object_detectors.md#apple-silicon-detector) on the host (outside Docker)
 
@@ -768,7 +768,7 @@ services:
       - /path/to/your/recordings:/recordings
     ports:
       - "8971:8971"
-      # If exposing on macOS map to a different host port like 5001 or any other port with no conflicts
+      # If exposing on macOS map to a diffent host port like 5001 or any orher port with no conflicts
       # - "5001:5000" # Internal unauthenticated access. Expose carefully.
       - "8554:8554" # RTSP feeds
     extra_hosts:

docs/docs/frigate/network_requirements.md

@@ -32,7 +32,7 @@ The following models are downloaded automatically the first time their associate
 | [License plate recognition](/configuration/license_plate_recognition)                         | PaddleOCR (detection, classification, recognition) + YOLOv9 plate detector | GitHub               |
 | [Bird classification](/configuration/bird_classification)                                     | MobileNetV2 bird model + label map                                         | GitHub               |
 | [Custom classification](/configuration/custom_classification/state_classification) (training) | MobileNetV2 ImageNet base weights (via Keras)                              | Google storage       |
-| [Audio transcription](/configuration/advanced/system)                                                | Whisper or Sherpa-ONNX streaming model                                     | HuggingFace / OpenAI |
+| [Audio transcription](/configuration/advanced)                                                | Whisper or Sherpa-ONNX streaming model                                     | HuggingFace / OpenAI |
 
 ### Hardware-Specific Detector Models
 

docs/docs/guides/configuring_go2rtc.md

@@ -0,0 +1,116 @@
+---
+id: configuring_go2rtc
+title: Configuring go2rtc
+---
+
+Use of the bundled go2rtc is optional. You can still configure FFmpeg to connect directly to your cameras. However, adding go2rtc to your configuration is required for the following features:
+
+- WebRTC or MSE for live viewing with audio, higher resolutions and frame rates than the jsmpeg stream which is limited to the detect stream and does not support audio
+- Live stream support for cameras in Home Assistant Integration
+- RTSP relay for use with other consumers to reduce the number of connections to your camera streams
+
+## Setup a go2rtc stream
+
+First, you will want to configure go2rtc to connect to your camera stream by adding the stream you want to use for live view in your Frigate config file. Avoid changing any other parts of your config at this step. Note that go2rtc supports [many different stream types](https://github.com/AlexxIT/go2rtc/tree/v1.9.13#module-streams), not just rtsp.
+
+:::tip
+
+For the best experience, you should set the stream name under `go2rtc` to match the name of your camera so that Frigate will automatically map it and be able to use better live view options for the camera.
+
+See [the live view docs](../configuration/live.md#setting-streams-for-live-ui) for more information.
+
+:::
+
+```yaml
+go2rtc:
+  streams:
+    back:
+      - rtsp://user:password@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2
+```
+
+After adding this to the config, restart Frigate and try to watch the live stream for a single camera by clicking on it from the dashboard. It should look much clearer and more fluent than the original jsmpeg stream.
+
+### What if my video doesn't play?
+
+- Check Logs:
+  - Access the go2rtc logs in the Frigate UI under Logs in the sidebar.
+  - If go2rtc is having difficulty connecting to your camera, you should see some error messages in the log.
+
+- Check go2rtc Web Interface: if you don't see any errors in the logs, try viewing the camera through go2rtc's web interface.
+  - Navigate to port 1984 in your browser to access go2rtc's web interface.
+    - If using Frigate through Home Assistant, enable the web interface at port 1984.
+    - If using Docker, forward port 1984 before accessing the web interface.
+  - Click `stream` for the specific camera to see if the camera's stream is being received.
+
+- Check Video Codec:
+  - If the camera stream works in go2rtc but not in your browser, the video codec might be unsupported.
+  - If using H265, switch to H264. Refer to [video codec compatibility](https://github.com/AlexxIT/go2rtc/tree/v1.9.13#codecs-madness) in go2rtc documentation.
+  - If unable to switch from H265 to H264, or if the stream format is different (e.g., MJPEG), re-encode the video using [FFmpeg parameters](https://github.com/AlexxIT/go2rtc/tree/v1.9.13#source-ffmpeg). It supports rotating and resizing video feeds and hardware acceleration. Keep in mind that transcoding video from one format to another is a resource intensive task and you may be better off using the built-in jsmpeg view.
+    ```yaml
+    go2rtc:
+      streams:
+        back:
+          - rtsp://user:password@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2
+          - "ffmpeg:back#video=h264#hardware"
+    ```
+
+- Switch to FFmpeg if needed:
+  - Some camera streams may need to use the ffmpeg module in go2rtc. This has the downside of slower startup times, but has compatibility with more stream types.
+
+    ```yaml
+    go2rtc:
+      streams:
+        back:
+          - ffmpeg:rtsp://user:password@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2
+    ```
+
+  - If you can see the video but do not have audio, this is most likely because your camera's audio stream codec is not AAC.
+  - If possible, update your camera's audio settings to AAC in your camera's firmware.
+  - If your cameras do not support AAC audio, you will need to tell go2rtc to re-encode the audio to AAC on demand if you want audio. This will use additional CPU and add some latency. To add AAC audio on demand, you can update your go2rtc config as follows:
+
+    ```yaml
+    go2rtc:
+      streams:
+        back:
+          - rtsp://user:password@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2
+          - "ffmpeg:back#audio=aac"
+    ```
+
+    If you need to convert **both** the audio and video streams, you can use the following:
+
+    ```yaml
+    go2rtc:
+      streams:
+        back:
+          - rtsp://user:password@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2
+          - "ffmpeg:back#video=h264#audio=aac#hardware"
+    ```
+
+    When using the ffmpeg module, you would add AAC audio like this:
+
+    ```yaml
+    go2rtc:
+      streams:
+        back:
+          - "ffmpeg:rtsp://user:password@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2#video=copy#audio=copy#audio=aac#hardware"
+    ```
+
+:::warning
+
+To access the go2rtc stream externally when utilizing the Frigate App (for
+instance through VLC), you must first enable the RTSP Restream port.
+You can do this by visiting the Frigate App configuration page within Home
+Assistant and revealing the hidden options under the "Show disabled ports"
+section.
+
+:::
+
+### Next steps
+
+1. If the stream you added to go2rtc is also used by Frigate for the `record` or `detect` role, you can migrate your config to pull from the RTSP restream to reduce the number of connections to your camera as shown [here](/configuration/restream#reduce-connections-to-camera).
+2. You can [set up WebRTC](/configuration/live#webrtc-extra-configuration) if your camera supports two-way talk. Note that WebRTC only supports specific audio formats and may require opening ports on your router.
+3. If your camera supports two-way talk, you must configure your stream with `#backchannel=0` to prevent go2rtc from blocking other applications from accessing the camera's audio output. See [preventing go2rtc from blocking two-way audio](/configuration/restream#two-way-talk-restream) in the restream documentation.
+
+## Homekit Configuration
+
+To add camera streams to Homekit Frigate must be configured in docker to use `host` networking mode. Once that is done, you can use the go2rtc WebUI (accessed via port 1984, which is disabled by default) to share export a camera to Homekit. Any changes made will automatically be saved to `/config/go2rtc_homekit.yml`.

docs/docs/guides/getting_started.md

@@ -301,7 +301,7 @@ cameras:
 
 More details on available detectors can be found [here](../configuration/object_detectors.md).
 
-Restart Frigate and you should start seeing detections for `person`. If you want to track other objects, they can be configured in <NavPath path="Settings > Global configuration > Objects" /> or via the [configuration file reference](../configuration/advanced/reference.md).
+Restart Frigate and you should start seeing detections for `person`. If you want to track other objects, they can be configured in <NavPath path="Settings > Global configuration > Objects" /> or via the [configuration file reference](../configuration/reference.md).
 
 ### Step 5: Setup motion masks
 
@@ -388,20 +388,21 @@ If you only plan to use Frigate for recording, it is still recommended to define
 
 :::
 
-By default, Frigate will retain video of all tracked objects for 10 days. The full set of options for recording can be found [here](../configuration/advanced/reference.md).
+By default, Frigate will retain video of all tracked objects for 10 days. The full set of options for recording can be found [here](../configuration/reference.md).
 
 ### Step 7: Complete config
 
 At this point you have a complete config with basic functionality.
 
-- View [common configuration examples](../configuration/config.md#common-configuration-examples) for a list of common configuration examples.
-- View [full config reference](../configuration/advanced/reference.md) for a complete list of configuration options.
+- View [common configuration examples](../configuration/index.md#common-configuration-examples) for a list of common configuration examples.
+- View [full config reference](../configuration/reference.md) for a complete list of configuration options.
 
 ### Follow up
 
 Now that you have a working install, you can use the following documentation for additional features:
 
-1. [Zones](../configuration/zones.md)
-2. [Review](../configuration/review.md)
-3. [Masks](../configuration/masks.md)
-4. [Home Assistant Integration](../integrations/home-assistant.md) - Integrate with Home Assistant
+1. [Configuring go2rtc](configuring_go2rtc.md) - Additional live view options and RTSP relay
+2. [Zones](../configuration/zones.md)
+3. [Review](../configuration/review.md)
+4. [Masks](../configuration/masks.md)
+5. [Home Assistant Integration](../integrations/home-assistant.md) - Integrate with Home Assistant

docs/docs/guides/reverse_proxy.md

@@ -12,7 +12,7 @@ Before setting up a reverse proxy, check if any of the built-in functionality in
 |-|-|
 |TLS|Please see the  `tls` [configuration option](../configuration/tls.md)|
 |Authentication|Please see the [authentication](../configuration/authentication.md) documentation|
-|IPv6|[Enabling IPv6](../configuration/advanced/system.md#enabling-ipv6)
+|IPv6|[Enabling IPv6](../configuration/advanced.md#enabling-ipv6)
 
 **Note about TLS**  
 When using a reverse proxy, the TLS session is usually terminated at the proxy, sending the internal request over plain HTTP. If this is the desired behavior, TLS must first be disabled in Frigate, or you will encounter an HTTP 400 error: "The plain HTTP request was sent to HTTPS port."  

docs/docs/troubleshooting/cpu.md

@@ -24,7 +24,7 @@ Video decoding is one of the most CPU-intensive tasks in Frigate. While an AI ac
 
 ### Configuration
 
-Frigate provides preset configurations for common hardware acceleration scenarios. Set up `hwaccel_args` based on your hardware in your [configuration](../configuration/advanced/reference) as described in the [getting started guide](../guides/getting_started).
+Frigate provides preset configurations for common hardware acceleration scenarios. Set up `hwaccel_args` based on your hardware in your [configuration](../configuration/reference) as described in the [getting started guide](../guides/getting_started).
 
 ### Troubleshooting Hardware Acceleration
 

docs/docs/troubleshooting/faqs.md

@@ -55,7 +55,7 @@ If you see repeated "On connect called" messages in your logs, check for another
 
 ### Error: Database Is Locked
 
-SQLite does not work well on a network share, if the `/media` folder is mapped to a network share then [this guide](../configuration/advanced/system.md#database) should be used to move the database to a location on the internal drive.
+SQLite does not work well on a network share, if the `/media` folder is mapped to a network share then [this guide](../configuration/advanced.md#database) should be used to move the database to a location on the internal drive.
 
 ### Unable to publish to MQTT: client is not connected
 

docs/docs/troubleshooting/go2rtc.md

@@ -1,235 +0,0 @@
----
-id: go2rtc
-title: Troubleshooting go2rtc
----
-
-import ConfigTabs from "@site/src/components/ConfigTabs";
-import TabItem from "@theme/TabItem";
-import NavPath from "@site/src/components/NavPath";
-
-This page covers common problems with the bundled [go2rtc](/configuration/go2rtc) and how to resolve them, whether your cameras were added with the setup wizard or configured by hand.
-
-When a stream won't play or behaves oddly, the most important first step is to figure out **where** in the pipeline it breaks. Frigate's live view is a chain — _camera → go2rtc → your browser_ — and each stage fails for different reasons. Work through the checks below in order, then jump to the matching problem category.
-
-## Start by isolating the problem
-
-### 1. Read the go2rtc logs
-
-Access the go2rtc logs in the Frigate UI under <NavPath path="System Logs" /> in the sidebar (select the **go2rtc** tab). If go2rtc cannot connect to your camera you will usually see a clear error here — `401 Unauthorized` (bad or incorrectly encoded credentials), `Connection refused` / `timeout` (wrong IP, port, or the camera is at its connection limit), or `404 Not Found` (wrong RTSP path, or the referenced stream name does not exist).
-
-### 2. Test the stream in the go2rtc web interface
-
-If the logs look clean, open go2rtc's own web interface on port `1984`. This is the single most useful diagnostic, because it takes Frigate's UI out of the equation entirely.
-
-- If using Frigate through Home Assistant, enable the web interface at port `1984` (it is disabled by default — see [Home Assistant ports](#home-assistant-and-port-access)).
-- If using Docker, forward port `1984` before accessing the web interface.
-
-Open the stream page for your camera (`http://<frigate_host>:1984/stream.html?src=back`) and try each player link:
-
-- **If nothing plays here**, the problem is between the camera and go2rtc (codec, credentials, or transport), _not_ your browser. Fix it at the source before touching anything in Frigate.
-- **If a player works here but Frigate's live view does not**, the problem is browser/codec related — compare the **MSE** and **WebRTC** links. Frigate prefers MSE and only attempts WebRTC when MSE fails (or for two-way talk). If `mode=mse` plays but `mode=webrtc` does not, you have a [WebRTC codec problem](#webrtc-and-two-way-talk); if neither plays, your browser cannot decode the codec (commonly H.265 — see [H.265 / HEVC cameras](#h265--hevc-cameras)).
-
-### 3. Inspect the negotiated codecs
-
-You can view detailed stream info — including the exact video and audio codecs go2rtc negotiated with the camera — at `http://frigate_ip:5000/api/go2rtc/streams` (or `http://frigate_ip:5000/api/go2rtc/streams/back` for a single camera). This is the authoritative answer to "what is my camera actually sending?" and is far more reliable than guessing from the camera's web UI. It also shows whether the audio track is `sendonly`/`recvonly`, which matters for [two-way talk](#webrtc-and-two-way-talk).
-
-### 4. Fix the codec with the FFmpeg module
-
-If the camera plays in go2rtc but not in your browser, the video or audio codec is unsupported. Browsers can reliably play **H.264** video and **AAC** audio; many cannot play H.265/HEVC, and some camera audio (G.711/PCM, MJPEG containers, etc.) is not playable at all. The fix is to have go2rtc re-encode the stream on demand using its FFmpeg module.
-
-In the Frigate UI this is the **Use compatibility mode (ffmpeg)** toggle on a stream source; in YAML it is the `ffmpeg:` prefix on the source URL.
-
-<ConfigTabs>
-<TabItem value="ui">
-
-1. Navigate to <NavPath path="Settings > System > go2rtc Streams" /> and expand your camera's stream.
-2. On the source you want to convert, click the **Use compatibility mode (ffmpeg)** button (the sliders icon next to the URL). This routes the source through go2rtc's FFmpeg module and reveals the transcoding options.
-3. Set **Video** to **Transcode to H.264** if your browser can't play the camera's video codec (e.g. H.265). Leave it on **Copy** to pass the video through untouched — this is much cheaper and should be your default whenever only the audio needs converting.
-4. Set **Audio** to **Transcode to AAC** (for MSE) or **Transcode to Opus** (for WebRTC) if the camera's audio codec is unsupported. Leave it on **Copy** to keep the original, or **Exclude** to drop audio entirely.
-5. When transcoding **video**, set **Hardware acceleration** to **Automatic (recommended)** so the encode runs on your GPU instead of the CPU. See [hardware-accelerated transcoding](#hardware-accelerated-transcoding-with-ffmpeg-8) for an important FFmpeg 8 caveat.
-6. **Save** the section, then reload the live view.
-
-</TabItem>
-<TabItem value="yaml">
-
-```yaml
-go2rtc:
-  streams:
-    back:
-      - rtsp://user:password@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2
-      # transcode video to H.264 on the GPU; only needed if the browser can't play the source codec
-      - "ffmpeg:back#video=h264#hardware"
-```
-
-To convert audio only (leaving video untouched), or to convert both:
-
-```yaml
-go2rtc:
-  streams:
-    back:
-      - rtsp://user:password@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2
-      - "ffmpeg:back#audio=aac" # audio only — preferred when the video already plays
-      # or, to convert both video and audio:
-      # - "ffmpeg:back#video=h264#audio=aac#hardware"
-```
-
-</TabItem>
-</ConfigTabs>
-
-:::warning
-
-The `#`-modifiers (`#video=`, `#audio=`, `#hardware`, `#backchannel=0`, …) **only take effect on a source that is prefixed with `ffmpeg:`**. Adding them to a bare `rtsp://…#audio=opus` source does nothing — go2rtc ignores them. Likewise, when a source references another stream by name (e.g. `ffmpeg:back#audio=aac`), the name must match the stream key **exactly** (it is case sensitive), or the transcode is silently never produced. This is the single most common configuration mistake. In the Frigate UI, the **Use compatibility mode (ffmpeg)** toggle adds the `ffmpeg:` prefix for you.
-
-:::
-
-Transcoding video is resource intensive. Always prefer `#video=copy` (the **Copy** option) and only convert the track that is actually unsupported. If you must transcode video and have no hardware encoder available, the built-in jsmpeg view may be the better option.
-
-## Live view is black, buffering, or stuck in "low-bandwidth mode"
-
-When the live view shows a black screen, spins forever, or repeatedly drops to the lower-quality jsmpeg player ("low-bandwidth mode"), the stream almost always contains something the browser cannot decode over MSE — usually H.265 video or a non-AAC audio track. Confirm this in the go2rtc web UI (port `1984`): if MSE won't play there, Frigate can't play it either, since it uses the same pipeline.
-
-The fix is to produce an **H.264 + AAC** stream, either by changing your camera's firmware codecs or by transcoding in go2rtc (see [Fix the codec with the FFmpeg module](#4-fix-the-codec-with-the-ffmpeg-module)). A few other things worth checking:
-
-- **Set the camera's I-frame (keyframe) interval to match its frame rate** (or "1x" on Reolink), and avoid "smart"/"+" codecs like _H.264+_ or _H.265+_. A long keyframe interval delays the first decodable frame past Frigate's startup timeout, which forces the fallback to jsmpeg. See [camera settings recommendations](/configuration/live#camera-settings-recommendations).
-- **A spinner that never clears, even though video plays in VLC**, is often an unplayable _audio_ track stalling playback. Drop or transcode the audio (see below).
-- **Remote/VPN viewing that buffers** while the LAN is fine is usually latency/jitter exceeding MSE's startup buffer — set up [WebRTC](/configuration/live#webrtc-extra-configuration), which drops late frames instead of buffering.
-
-The general live-view behavior (smart streaming, the MSE → WebRTC → jsmpeg fallback chain, and how to read browser console errors) is documented in detail in the [Live view FAQ](/configuration/live#live-view-faq).
-
-## H.265 / HEVC cameras
-
-H.265/HEVC playback in the browser is unreliable and version-dependent. WebRTC does not support H.265 on some browsers, and MSE/HEVC support varies by browser, OS, and whether a hardware decoder is present. An H.265 stream that plays fine in VLC, the go2rtc web UI, and Frigate's recordings can still be blank in a live view.
-
-For dependable live viewing, use **H.264** for the stream the live view consumes:
-
-- Point the live view at the camera's H.264 **substream** and keep the H.265 main stream for recording only, or
-- Transcode H.265 → H.264 in go2rtc with the FFmpeg module and `#hardware` (software HEVC transcoding is very CPU heavy).
-
-Treat browser HEVC playback as best-effort. See also [H.265 cameras via Safari](/configuration/camera_specific#h265-cameras-via-safari).
-
-## No audio in Live view
-
-Live view audio has strict codec requirements that differ by player: **MSE requires AAC, PCMA, or PCMU**, and **WebRTC requires Opus, PCMA, or PCMU**. Many cameras default to a codec outside these sets (or to PCM/G.711), so the player loads video only and no audio control appears.
-
-The most robust approach is to provide both an AAC track (for MSE) and an Opus track (for WebRTC) on the same stream by transcoding audio with the FFmpeg module while copying the video:
-
-<ConfigTabs>
-<TabItem value="ui">
-
-1. Navigate to <NavPath path="Settings > System > go2rtc Streams" /> and expand the camera's stream.
-2. Add a second **Source** that references the stream by name (e.g. the URL `ffmpeg:back`), enable **Use compatibility mode (ffmpeg)**, and set **Audio** to **Transcode to Opus** for WebRTC support.
-3. Keep the original source as **Source 1** so MSE can use the camera's AAC (or transcode the first source's audio to AAC if the camera doesn't provide it).
-4. **Save** the section.
-
-</TabItem>
-<TabItem value="yaml">
-
-```yaml
-go2rtc:
-  streams:
-    back:
-      - rtsp://user:password@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2 # video + AAC for MSE
-      - "ffmpeg:back#audio=opus" # adds an Opus track for WebRTC
-```
-
-If the camera's native audio isn't AAC either, transcode both:
-
-```yaml
-go2rtc:
-  streams:
-    back:
-      - "ffmpeg:rtsp://user:password@10.0.10.10:554/live0#video=copy#audio=aac" # video copy + AAC for MSE
-      - "ffmpeg:back#audio=opus" # Opus for WebRTC
-```
-
-</TabItem>
-</ConfigTabs>
-
-Setting the camera firmware to AAC (and H.264) avoids transcoding entirely and is always preferable when the camera supports it. For more detail and examples, see [Audio Support](/configuration/live#audio-support).
-
-## WebRTC and two-way talk
-
-WebRTC is only attempted when MSE fails or when using a camera's two-way talk feature; the "All Cameras" dashboard never uses it. When it doesn't work, the cause is almost always one of:
-
-- **Codec mismatch** — WebRTC cannot carry H.265 or AAC. The stream backing the WebRTC view must provide Opus (or PCMA/PCMU) audio and H.264 video. Add an `ffmpeg:back#audio=opus` source as shown above.
-- **Port `8555` not reachable, or no candidates set** — WebRTC needs port `8555` (both TCP and UDP) open and a reachable candidate advertised. On Docker installs running on a custom/overlay network, go2rtc may advertise unreachable container IPs as ICE candidates; setting `webrtc.filters.candidates: []` and supplying only your host's LAN IP resolves this. See [WebRTC extra configuration](/configuration/live#webrtc-extra-configuration).
-- **Two-way talk** additionally requires a secure context (HTTPS or the authenticated port `8971`, because browsers block microphone access on plain HTTP). The camera's RTSP backchannel must also be handled correctly — go2rtc seizes the backchannel by default, which blocks two-way audio for other consumers and can inject static. Disable it on the primary stream with `#backchannel=0` and use a separate dedicated stream for talk, as documented in [preventing go2rtc from blocking two-way audio](/configuration/restream#two-way-talk-restream).
-
-## High CPU usage
-
-If go2rtc is using a lot of CPU, it is almost always transcoding in software. An FFmpeg source with a codec modifier like `#video=h264` or `#audio=aac` but **no** `#hardware` re-encodes on the CPU. (Frigate's `ffmpeg.hwaccel_args` only applies to Frigate's own detect/record processes — it does _not_ accelerate go2rtc's transcodes.)
-
-To keep CPU usage down:
-
-- Only transcode the track that is genuinely unsupported, and use `#video=copy` to pass video through untouched whenever possible.
-- When you must transcode video, always add `#hardware` (the **Automatic** hardware option in the UI) so the encode runs on the GPU. Note the [FFmpeg 8 device requirement](#hardware-accelerated-transcoding-with-ffmpeg-8) below.
-- Don't restream a high-resolution main stream just to feed the live view — even with `#video=copy`, muxing a 4K/8MP+ stream is inherently expensive. Use the camera's lower-resolution substream for live and detect, and let Frigate pull the main stream directly for recording.
-
-## Connection, authentication, and complex passwords
-
-If go2rtc logs `401 Unauthorized` for a URL that works in VLC, the password almost certainly contains reserved URL characters. **Frigate URL-encodes passwords for its own `cameras.ffmpeg.inputs`, but it does not touch what you write under `go2rtc.streams`** — go2rtc parses that URL itself. You must URL-encode special characters yourself in the `go2rtc.streams` section (`@` → `%40`, `#` → `%23`, `?` → `%3F`, `%` → `%25`, etc.).
-
-Note the asymmetry: under `cameras.ffmpeg.inputs` you should use the **raw** password (Frigate encodes it for you) — pre-encoding it there causes a double-encode and fails. See [Handling Complex Passwords](/configuration/restream#handling-complex-passwords).
-
-Repeated `401`/`Connection refused` errors can also mean the camera hit its **concurrent connection limit** or triggered a login lockout. Routing all roles through a single [RTSP restream](/configuration/restream#reduce-connections-to-camera) means the camera only ever sees one connection from go2rtc.
-
-## Stream names must match everywhere
-
-A surprising number of "the better live options aren't available" or `404 Not Found` problems come down to a name mismatch. The same string must be used consistently:
-
-- the **go2rtc stream key** (`go2rtc.streams.<name>`),
-- any `ffmpeg:<name>#…` source that references it,
-- the camera's restream input path (`rtsp://127.0.0.1:8554/<name>`), and
-- the camera name itself (so Frigate auto-maps it for MSE/WebRTC) — or an explicit `live -> streams` mapping pointing at the go2rtc stream **name** (never a path).
-
-If you rename or remove a go2rtc stream while experimenting and the live stream selector then shows a blank entry, clear your browser's site data for the Frigate URL — the selected stream is cached per-device in local storage.
-
-## Camera-specific behavior
-
-Several camera brands have well-known quirks with go2rtc. Rather than repeat them here, see the [camera-specific configuration](/configuration/camera_specific) page, which covers them in detail. The highlights:
-
-- **Reolink** — RTSP is unreliable on many models; the **http-flv** stream through the FFmpeg module is recommended, and you must enable HTTP/RTMP in the camera and **reboot** it. 6MP+ models stream H.265 over http-flv-enhanced, which requires FFmpeg 8.0. See [Reolink Cameras](/configuration/camera_specific#reolink-cameras).
-- **TP-Link Tapo** — use go2rtc's native `tapo://` source for stability and two-way audio; a stale RTSP credential can often be revived by clicking play once in the go2rtc web UI.
-- **Ubiquiti/UniFi Protect** — use the `rtspx://` scheme (not `rtsps://…?enableSrtp`).
-- **Amcrest/Dahua** — use the `/cam/realmonitor?channel=1&subtype=N` scheme, where `subtype=0` is the main stream. See [Amcrest & Dahua](/configuration/camera_specific#amcrest--dahua).
-
-## Non-RTSP sources and the FFmpeg module
-
-go2rtc's native zero-copy handling only supports well-formed RTSP H.264/H.265. Anything else — MJPEG, HTTP/HTTP-FLV, RTMP, or unusual codecs — must be handed to the FFmpeg module by prefixing the source with `ffmpeg:`. This is also necessary for some camera streams to be parsed at all, at the cost of slightly slower startup. MJPEG and other non-H.264 sources additionally need `#video=h264` (with `#hardware`) before they can be used for the `record`, `detect`, or restream roles. See [MJPEG Cameras](/configuration/camera_specific#mjpeg-cameras) for a complete example.
-
-## Hardware-accelerated transcoding with FFmpeg 8
-
-Frigate 0.18 ships **FFmpeg 8.0** as the default, and FFmpeg 8 is stricter about hardware-accelerated filtering than earlier versions. Whenever go2rtc transcodes video with hardware acceleration (any source using `#hardware`, `#hardware=vaapi`, or the **Automatic** hardware option in the UI), it builds a filter chain that uploads frames to the GPU with the `hwupload` filter. FFmpeg 8 now refuses to do this unless it is told **which device** to use — earlier versions selected one automatically. The result is that an otherwise-working transcode fails to start, the live view never loads, and go2rtc logs:
-
-```
-[hwupload] A hardware device reference is required to upload frames to.
-[AVFilterGraph] Error initializing filters
-Error opening output files: Invalid argument
-```
-
-The fix is to tell go2rtc's bundled FFmpeg which hardware device to use via the `go2rtc -> ffmpeg -> global` option. For **VAAPI**-based acceleration — which covers most Intel and AMD GPUs, and is what go2rtc selects automatically on that hardware — point it at your render device:
-
-```yaml
-go2rtc:
-  ffmpeg:
-    global: "-vaapi_device /dev/dri/renderD128"
-  streams:
-    back:
-      - "ffmpeg:rtsp://user:password@10.0.10.10:554/live0#video=h264#hardware"
-```
-
-`/dev/dri/renderD128` is the usual render node; on a system with more than one GPU you may need `renderD129` (or higher), and the device must be passed into the container (e.g. `devices: - /dev/dri:/dev/dri` in Docker Compose).
-
-If you use a **different hardware acceleration backend**, you will likely need to specify its device in the same way, using the option that matches that backend instead of `-vaapi_device`. See the [go2rtc FFmpeg source documentation](https://github.com/AlexxIT/go2rtc/tree/v1.9.13#source-ffmpeg) and the upstream report ([go2rtc issue #1984](https://github.com/AlexxIT/go2rtc/issues/1984)) for background and other examples.
-
-:::tip
-
-If you don't transcode in go2rtc with hardware acceleration, this does not affect you. If you want to avoid the change entirely, you can pin Frigate (and the go2rtc it bundles) back to FFmpeg 7.0 by setting `ffmpeg -> path: "7.0"` in your config.
-
-:::
-
-## Home Assistant and port access
-
-When running Frigate as a Home Assistant add-on, the go2rtc API (port `1984`), the RTSP restream (port `8554`), and WebRTC (port `8555`) are **disabled and hidden by default**. To use them — for example to reach the go2rtc web interface for troubleshooting, or to open a go2rtc stream externally in an app like VLC — go to <NavPath path="Settings > Add-ons > Frigate > Configuration > Network" />, click **Show disabled ports**, enable the port you need, and save. Use the host's IP address rather than an mDNS name like `homeassistant.local`.
-
-If live view works in the Frigate UI but not in Home Assistant, the most common cause is the go2rtc stream name not matching the camera name — name the primary go2rtc stream exactly like the camera, or add a `live -> streams` mapping, so the integration can resolve the restream.

docs/docs/usage/explore.md

@@ -1,95 +0,0 @@
----
-id: explore
-title: Explore
----
-
-import NavPath from "@site/src/components/NavPath";
-
-**Explore** is where you browse and search every **tracked object** Frigate has saved. By default it groups recent objects by label; when [Semantic Search](/configuration/semantic_search) is enabled, you can also search by natural-language description or visual similarity. Selecting any object opens a detail pane with its snapshot, lifecycle, and metadata.
-
-This page describes how to _use_ the Explore view. For how the underlying features are _configured_, see [Semantic Search](/configuration/semantic_search) and [Generative AI descriptions](/configuration/genai/genai_objects).
-
-## Browsing tracked objects
-
-The default view shows your most recent tracked objects grouped into rows by label — _Person_, _Car_, _Dog_, and so on — each row labeled with the object type and a count. The arrow at the end of a row opens the full, filterable grid for that label.
-
-Clicking a thumbnail opens its [detail dialog](#tracked-object-details); right-clicking or long-pressing a thumbnail opens an [actions menu](#actions-and-bulk-selection). You can switch to a denser grid layout and adjust the number of columns from the view's settings.
-
-## Searching
-
-When [Semantic Search](/configuration/semantic_search) is enabled, a search bar appears that combines two things in one input:
-
-- **Natural-language search** — type a free-text query and press Enter to run a semantic search over your tracked objects.
-- **Filter tokens** — type a `key:` to get suggestions, then a value, to add a structured filter. Each filter becomes a removable chip, and you can chain several together.
-
-You can save a search with the star icon and reload it later, and clear everything with the clear-search icon. A help popover explains the token syntax, for example:
-
-```
-cameras:front_door label:person before:01012024 time_range:3:00PM-4:00PM
-```
-
-### Filter reference
-
-The most common filter tokens are:
-
-| Filter                       | Description                                                                        |
-| ---------------------------- | ---------------------------------------------------------------------------------- |
-| **Cameras**                  | Limit to one or more cameras.                                                      |
-| **Labels**                   | Object labels (person, car, etc.).                                                 |
-| **Sub Labels**               | Recognized sub labels (e.g. a recognized face or name).                            |
-| **Attributes**               | Classification attributes applied to the object.                                   |
-| **Recognized License Plate** | Match a recognized plate.                                                          |
-| **Zones**                    | Objects that entered specific zones.                                               |
-| **Before / After**           | Restrict to a date range.                                                          |
-| **Time Range**               | Restrict to a time of day (`HH:MM-HH:MM`).                                         |
-| **Min / Max Score**          | Restrict by the object's confidence score.                                         |
-| **Min / Max Speed**          | Restrict by estimated speed (when speed estimation is configured).                 |
-| **Has Snapshot / Has Clip**  | Only objects that saved a snapshot or recording.                                   |
-| **Submitted to Frigate+**    | Only objects already submitted (when Frigate+ is enabled).                         |
-| **Search Type**              | Whether semantic search matches the object's **Thumbnail** or its **Description**. |
-
-### Sorting
-
-When a filter or search is active, a **Sort** control lets you order results by **date**, **object score**, or **estimated speed** (ascending or descending). When a semantic query or similarity search is active, results can also be ordered by **relevance**.
-
-### Thumbnail and description search
-
-- The **Search Type** setting controls whether a text query is matched against each object's **thumbnail** or its **description**. Each result indicates which one it matched and the confidence.
-
-Natural-language search, thumbnail search, and description search all require [Semantic Search](/configuration/semantic_search) to be enabled.
-
-## Tracked Object Details
-
-Selecting an object opens the **Tracked Object Details** dialog. Use the arrows (or the left/right keys) to step to the previous or next object. The dialog has two tabs:
-
-- **Snapshot** or **Thumbnail** — the saved snapshot (or thumbnail).
-- **Tracking Details** — the object's lifecycle, available when the object has a recording. It lists each significant moment (detected, entered a zone, became active or stationary, left, and so on); clicking a moment plays that part of the recording with the bounding box overlaid. A settings popover lets you show all zones and adjust the annotation offset.
-
-The details pane shows the object's **label**, **scores**, **camera**, **timestamp**, estimated **speed**, any **recognized license plate** and **classification attributes**, and its **description**. Admins can edit the sub label, license plate, and attributes inline.
-
-The **description** can be edited by hand, and — when [Generative AI descriptions](/configuration/genai/genai_objects) are enabled and the object's lifecycle has ended — regenerated from the snapshot or from thumbnails. For `speech` objects, a **Transcribe** action is available when audio transcription is enabled. When [Frigate+](/integrations/plus) is enabled, admins can submit a snapshot to improve their model directly from this pane.
-
-## Actions and bulk selection
-
-Right-clicking or long-pressing an object (in the grid or its thumbnail) opens an actions menu with options to **download** the video, snapshot, or a clean snapshot; **view tracking details**; **find similar**; **add a trigger**; **view in History**; and **delete the tracked object**.
-
-:::note
-
-Deleting a tracked object removes its snapshot, embeddings, and tracking-details entries, but the recorded footage of that object in [History](/usage/history) is **not** deleted.
-
-:::
-
-To act on many objects at once, Ctrl/Cmd-click or right-click to start a selection (selected tiles gain a blue ring), then use the toolbar to select all, clear the selection, or delete (admins).
-
-## Semantic Search - Usage and best practices {#usage-and-best-practices}
-
-1. Semantic Search is used in conjunction with the other filters available on the Explore page. Use a combination of traditional filtering and Semantic Search for the best results.
-2. Use the thumbnail search type when searching for particular objects in the scene. Use the description search type when attempting to discern the intent of your object.
-3. Because of how the AI models Frigate uses have been trained, the comparison between text and image embedding distances generally means that with multi-modal (`thumbnail` and `description`) searches, results matching `description` will appear first, even if a `thumbnail` embedding may be a better match. Play with the "Search Type" setting to help find what you are looking for. Note that if you are generating descriptions for specific objects or zones only, this may cause search results to prioritize the objects with descriptions even if the the ones without them are more relevant.
-4. Make your search language and tone closely match exactly what you're looking for. If you are using thumbnail search, **phrase your query as an image caption**. Searching for "red car" may not work as well as "red sedan driving down a residential street on a sunny day".
-5. Semantic search on thumbnails tends to return better results when matching large subjects that take up most of the frame. Small things like "cat" tend to not work well.
-6. Experiment! Find a tracked object you want to test and start typing keywords and phrases to see what works for you.
-
-## Triggers
-
-From an object's actions menu, **Add trigger** sets up a per-camera trigger that uses Semantic Search to automate an action (a notification, sub label, or attribute) whenever a similar object appears. Triggers require Semantic Search and are managed under <NavPath path="Settings > Enrichments > Triggers" />. See [Triggers](/configuration/semantic_search#triggers) for full configuration and best practices.

docs/docs/usage/exports.md

@@ -1,43 +0,0 @@
----
-id: exports
-title: Exports
----
-
-**Exports** are how you keep a specific piece of footage permanently.
-
-Frigate's recordings are governed by your [retention settings](/configuration/record): once footage ages past its retention window — or, depending on your configuration, once it is only kept where motion, alerts, or detections occurred — it is deleted to free up disk space. An **export** saves a copy of a chosen time range to a separate location that is **never removed by retention**, so it stays available until you delete it yourself.
-
-This is the answer to the common question _"how do I stop Frigate from deleting an important clip?"_ Instead of increasing retention for an entire camera (which uses far more storage to protect a single moment), export just the footage you want to keep.
-
-:::tip
-
-Exports are stored under `/media/frigate/exports`, separate from your recordings, and are not counted against or removed by recording retention. They remain on disk until you delete them, so be aware that they accumulate over time.
-
-:::
-
-## Creating an export
-
-There are a few ways to create an export:
-
-- **From Review** — select (right click or long-press) an individual review item directly, and choose Export from the header menu. You can also select multiple review items and export them all at once, optionally grouping them into a [case](#cases).
-- **From History** — open the **Actions** menu and choose **Export**. You can export a preset duration (the last 1, 4, 8, 12, or 24 hours), enter a custom start and end time, or select a range directly on the timeline. A **multi-camera** option lets you export the same time range across several cameras at once.
-
-In every case you can give the export a name. Frigate then saves the footage from your recordings as a single video file. Larger ranges take time to process; the export is marked _in progress_ until it finishes, and you can keep using Frigate while it runs.
-
-## Managing exports
-
-All of your exports live on the **Exports** page, reachable from the main navigation, where you can search for one by name. Each export offers the following actions:
-
-- **Play** it in the browser,
-- **Download** it to save the footage outside of Frigate,
-- **Share** it — copies a direct link to the export (or uses your device's share sheet),
-- **Rename** it, and
-- **Delete** it — deleting is the only way an export is removed.
-
-You can also select multiple exports at once to **delete** them in bulk, or to **add them to** (or **remove them from**) a [case](#cases).
-
-## Cases
-
-A **case** groups related exports together — for example, all the clips from a single incident across multiple cameras. On the **Exports** page you can create a case with a name and description, add existing exports to it (or create a new case while exporting), and **download the entire case as a single archive** to hand off as one package.
-
-Exports that don't belong to a case appear under **Uncategorized Exports**. Deleting a case lets you either keep its exports (they move back to uncategorized) or delete them along with the case.

docs/docs/usage/history.md

@@ -1,69 +0,0 @@
----
-id: history
-title: History
----
-
-import NavPath from "@site/src/components/NavPath";
-
-**History** is Frigate's full-resolution recording viewer. Unlike Live, Review, and Explore, there is no menu item for it — you reach it from within another view, then scrub the timeline, switch cameras, inspect a tracked object's lifecycle, and export or share any moment.
-
-This page describes how to _use_ the History view. For how recordings are _configured_ (retention, pre/post capture), see [Recording](/configuration/record).
-
-## Opening History
-
-You can open History from several places:
-
-- **From [Review](/usage/review):** clicking a review item opens its recording, scrubbed to just before the activity on that camera.
-- **From [Live](/usage/live):** the **History** button in a camera's single-camera view opens that camera about 30 seconds in the past.
-- **From a share link:** opening a shared timestamp link (see [Share Timestamp](#the-actions-menu) below) jumps straight to that camera and moment.
-
-Use the **Back** button to return where you came from, or the **Live** button to jump to the current camera's live view.
-
-## Timeline, Events, and Detail
-
-A toggle (a drawer on mobile) switches the side panel between three modes:
-
-- **Timeline** — a scrubbable vertical timeline of the selected camera, annotated with a motion line, review-item markers, and gaps where no recording exists.
-- **Events** — a scrollable list of the camera's review items for the time range; clicking one seeks the player to it.
-- **Detail** — the [tracking details inspector](#the-detail-view) for the objects in view.
-
-While you are selecting a range to export, the panel temporarily switches to Timeline.
-
-## Scrubbing and previews
-
-Drag the timeline handlebar to move through time; the main player and any secondary camera previews scrub together so everything stays in sync. Press the zoom buttons on the timeline to change its zoom level (from coarse to fine segments). Sections of the timeline with no recordings are shown as gaps.
-
-On desktop, when more than one camera is available, a **row of secondary previews** shows the other cameras at the same moment. Clicking one of them makes it the main camera at the current timestamp, so you can follow activity across cameras without losing your place. On mobile, use the camera drawer to switch cameras.
-
-## Filtering and the calendar
-
-You can filter History by **cameras** and **date**. The calendar behaves the same as it does in [Review](/usage/review#filtering-and-the-calendar): an **underline** under a day means recordings exist for that day, and a **colored dot** (red for unreviewed alerts, orange for unreviewed detections) marks days with unreviewed activity.
-
-## The Detail view
-
-The **Detail** mode turns the side panel into a tracking details inspector. It lists one card per review item, each showing the item's severity, start time, the object labels involved, a count of tracked objects, and the duration. The active card is highlighted as the video plays, and clicking a card seeks to it.
-
-Expanding a card reveals the **lifecycle** of each tracked object — a row for each significant moment (detected, entered a zone, became active, became stationary, left, and so on), with a progress line that follows the current playback position. Hovering a row shows that moment's score, ratio, and area, and clicking a row seeks the video to that exact timestamp.
-
-The **Detail View Settings** at the bottom let you toggle whether the active item's objects expand automatically, and adjust the **annotation offset** — a fine timing correction that aligns the bounding-box overlays with the recorded video when your camera's snapshot and recording timestamps drift. Admins can save the offset to the camera's configuration.
-
-## The Actions menu
-
-On desktop, the **Actions** menu (the film icon) collects the things you can do with the footage you are viewing:
-
-- **Export** — save a clip of a chosen time range so it is never removed by retention. The dialog pre-selects the last hour; adjust the range or drag the timeline handles, then export. See [Exports](/usage/exports) for managing and downloading exports.
-- **Share Timestamp** — generate a link to the current moment (or a custom timestamp) to share with another Frigate user. This is an internal link, not a public share URL.
-- **Motion Search** — scan this camera's recordings for changes in a region you draw. This is the same tool documented under [Reviewing Motion](/usage/review#motion-search).
-- **Debug Replay** (admins) — replay a recorded range back through Frigate's detection pipeline to see how it would be processed.
-
-You can also capture an instant snapshot of the current frame, and submit a frame to [Frigate+](/integrations/plus) directly from the player (admins only).
-
-## AI review summaries
-
-When [Generative AI review](/configuration/genai/genai_review) is configured, Frigate can generate a title, description, and threat classification for review items and surface them as you scrub through History. A review item that has an AI summary exposes its details in a few places:
-
-- **Over the video** — when the item is on screen, a popup appears over the player.
-- **In the Events side panel** — items with a summary show the title below the thumbnail.
-- **In the Detail side panel** — the item's card shows the title alongside its tracking details.
-
-Clicking any of these opens the **AI Analysis** dialog with the generated detail and any flagged concerns for that item.

docs/docs/usage/live.md

@@ -1,118 +0,0 @@
----
-id: live
-title: Live View
----
-
-import NavPath from "@site/src/components/NavPath";
-
-**Live view** is Frigate's real-time dashboard and the page you land on by default. It shows all of your cameras at a glance, streams your most recent alerts across the top, and lets you open any camera in a full-resolution single-camera view with audio, two-way talk, PTZ, and on-demand recording controls.
-
-This page describes how to _use_ the Live view. For how to _configure_ live streaming — go2rtc, stream selection, smart streaming, WebRTC, and audio — see the [Live View configuration](/configuration/live) docs.
-
-## The dashboard at a glance
-
-The default **All Cameras** dashboard shows every camera, with a filmstrip of recent **alerts** scrolling across the top. Clicking an alert opens it in [Review](/usage/review); each card also has a check button to mark it reviewed without leaving the dashboard.
-
-By default Frigate uses **smart streaming**: a camera's image updates roughly once per minute while nothing is happening, and switches to a full live stream the moment activity is detected. This conserves bandwidth and resources. You can change this per camera or per group (see [Streaming settings](#streaming-settings-and-the-right-click-menu) below), and the behavior is explained in detail under [Live view technologies](/configuration/live#live-view-technologies).
-
-On mobile, a toggle in the header switches between a **grid** layout and a single-column **list** layout. On desktop a **fullscreen** button is available in the lower-right corner.
-
-## Switching dashboards and camera groups
-
-The icon rail (top-left on desktop, a horizontal strip on mobile) switches between dashboards:
-
-- The **home** icon is the **All Cameras** dashboard, which shows every camera enabled for the dashboard.
-- Each **camera group** you create appears as its own icon. Selecting a group shows only that group's cameras.
-
-Camera groups are useful for organizing cameras by location (for example, _Front of House_ or _Backyard_) and for giving each group its own dashboard layout and streaming preferences.
-
-You can also view [Birdseye](/configuration/birdseye) on the dashboard, or open it directly at `http://<frigate_host>:5000/#birdseye`. Clicking a camera inside the Birdseye view jumps to that camera's live feed.
-
-## Creating and editing camera groups
-
-Admins can manage groups from the pencil icon next to the group rail, which opens the **Camera Groups** dialog. From there you can add a group, or edit and delete existing ones. When creating a group you choose:
-
-- a **Name** (spaces are converted to underscores),
-- the **cameras** to include — each camera has a toggle and a gear that opens its [streaming settings](#streaming-settings-and-the-right-click-menu), and
-- an **icon** used for the group's button in the rail.
-
-Deleting a group also clears any custom layout you saved for it.
-
-## Rearranging a camera group layout
-
-On desktop and tablet, each camera group has its own freely-arrangeable grid. Enter **Edit Layout** mode from the layout button in the lower-right corner: camera tiles gain a drag handle and corner resize handles. Drag a tile to reposition it and drag a corner to resize it (the aspect ratio is preserved). Exit edit mode to save. The layout is stored in your browser per device, so each device can have its own arrangement.
-
-The default **All Cameras** dashboard is not manually arrangeable — it automatically sizes tiles based on each camera's aspect ratio (wide cameras span two columns, tall cameras span two rows).
-
-## Reading the tile indicators
-
-Each camera tile surfaces its current state with a few overlays:
-
-- A **pulsing red dot** in the corner means **motion is currently detected** on that camera.
-- A **red outline** around the tile means an **active tracked object** is on that camera.
-- A small **label chip** lists the object types currently detected (for example, _Person_, _Car_).
-- A **camera-name label** appears when you have enabled always-on camera names, or when a camera is offline or disabled.
-- A **Stream Offline** or **Camera is off** placeholder appears when no frames are being received or the camera has been turned off.
-
-You can optionally overlay live streaming statistics (stream type, bandwidth, latency, and frame counts) on a tile to diagnose playback issues.
-
-## Streaming settings and the right-click menu
-
-Right-clicking (or long-pressing) a camera tile opens a context menu with quick controls: an **audio volume** control for streams that support audio, **Mute / Unmute all cameras**, **show or hide streaming statistics**, the **debug view**, **notification** options, and — for admins — turning the camera on or off.
-
-A **Low-bandwidth mode** notice may also appear in the context menu with a **Reset** option appears when Frigate has fallen back to the lower-quality jsmpeg stream — see the [Live view FAQ](/configuration/live#live-view-faq) for why this happens.
-
-For non-default groups, the context menu also exposes **Streaming Settings** for that camera, which let you choose:
-
-- the **stream** to display (the dropdown lists the streams you configured under [`live -> streams`](/configuration/live#setting-streams-for-live-ui), and indicates whether audio is available),
-- the **streaming method** — **No Streaming**, **Smart Streaming** (recommended), or **Continuous Streaming** (higher bandwidth), and
-- **compatibility mode**, for devices that have trouble rendering the default player.
-
-These settings are saved per group and per device in your browser, not in your config file.
-
-## The single-camera view
-
-Clicking a camera tile opens its full-resolution single-camera view. The top bar provides:
-
-- **Back** (also the `Esc` key) to return to the dashboard,
-- **History** to jump to the [recordings](/usage/history) for this camera, starting about 30 seconds in the past,
-- **Fullscreen** and **Picture-in-Picture** (if supported by your browser),
-- **Two-way talk** (the microphone button — requires a supported camera and WebRTC; keyboard shortcut `t`), and
-- **Camera audio muting** (the speaker button; keyboard shortcut `m`).
-
-You can pinch or scroll to zoom into the feed. A **settings** gear provides a **stream** selector (with audio and two-way-talk availability indicators), **Play in background**, **Show stats**, and a **Debug view** that overlays Frigate's detection regions and bounding boxes.
-
-:::tip
-
-Two-way talk and camera audio have specific codec and port requirements. See [Audio Support](/configuration/live#audio-support) and [WebRTC](/configuration/live#webrtc-extra-configuration) for setup details.
-
-:::
-
-## Camera controls
-
-Admins get a row of toggles in the single-camera view (a settings drawer on mobile) to turn camera features on and off in real time:
-
-- **Camera** on/off,
-- **Object detection**,
-- **Recording** (only available when recording is enabled in the camera's config),
-- **Snapshots**,
-- **Audio detection**,
-- **Live audio transcription** (when audio detection is enabled), and
-- **Autotracking** (for [autotracking-capable PTZ cameras](/configuration/autotracking)).
-
-These toggles change runtime behavior immediately. Whether a change persists across a restart depends on the feature — see the relevant configuration page.
-
-## On-demand recording and snapshots
-
-The single-camera view can capture footage on demand:
-
-- **Start on-demand recording** begins a manual recording based on the camera's recording retention settings (the button pulses while active). If recording is disabled for the camera, only a snapshot is saved. Use **End on-demand recording** to stop.
-- **Download instant snapshot** saves a still image of the current frame.
-
-See [Recording](/configuration/record) and [Snapshots](/configuration/snapshots) for how retention is configured, and [Exports](/usage/exports) for keeping a clip permanently.
-
-## PTZ controls
-
-For ONVIF cameras that support it, a control panel provides pan/tilt arrows, **zoom**, **focus**, and saved **presets**. You can also enable a **click-to-move / drag-to-zoom** overlay: click a point in the frame to center the camera there, or drag a box to pan and zoom to that area (dragging top-left to bottom-right zooms in, the reverse zooms out).
-
-For continuous, automatic tracking of a moving object, see [Autotracking](/configuration/autotracking).

docs/docs/usage/review.md

@@ -1,140 +0,0 @@
----
-id: review
-title: Review
----
-
-import NavPath from "@site/src/components/NavPath";
-
-**Review** is where you triage what happened on your cameras. It groups activity into **review items** — segments of time on a single camera that bundle together the objects and audio that were active at once — and sorts them into **Alerts**, **Detections**, and **Motion**. From here you can scrub through activity, mark items as reviewed, filter, export, and jump to the full recording in [History](/usage/history).
-
-This page describes how to _use_ the Review view. For how alerts and detections are _configured_ (labels, zones, required zones, retention), see the [Review configuration](/configuration/review) docs.
-
-:::info
-
-Review items are only created for a camera when **recording is enabled** for that camera. See [Recording](/configuration/record).
-
-:::
-
-## Alerts, Detections, and Motion
-
-Not every segment of video captured by Frigate is of the same level of interest. The people who enter your property may be a higher priority than those just walking by on the sidewalk. For this reason, Frigate sorts **review items** by importance into **alerts** and **detections**, with a separate **Motion** category for significant motion.
-
-The toggle at the top of the page switches between these three severities. One is always selected.
-
-| Tab            | Indicator color | What it shows                                                                                                    |
-| -------------- | --------------- | ---------------------------------------------------------------------------------------------------------------- |
-| **Alerts**     | dark red        | The activity you most want to see. By default, all `person` and `car` tracked objects are alerts.                |
-| **Detections** | orange          | Everything else Frigate tracked that wasn't promoted to an alert.                                                |
-| **Motion**     | yellow          | Periods of significant motion, with the ability to filter to periods which did **not** produce a tracked object. |
-
-This same color coding is used for the ring around a selected item and the dots on the calendar. How an object is categorized as an alert vs. a detection — and how required zones refine that — is covered in [Alerts and Detections](/configuration/review#alerts-and-detections).
-
-The **Alerts** and **Detections** tabs show a count next to their label. With **Show Reviewed** turned off (the default), this is the number of items still left to review; with it on, the count reflects every item in the selected time range.
-
-## Marking items as reviewed
-
-Review items are shown as a grid of thumbnail cards next to a vertical activity timeline. Hovering a card (desktop) or swiping to the right (mobile) plays a short preview inline.
-
-- **Clicking** a card opens its recording in [History](/usage/history) and marks the item as reviewed.
-- The object chip on each card is **gray** when the item is unreviewed and turns **green** once it has been reviewed.
-- The **Mark these items as reviewed** button marks everything currently shown as reviewed at once.
-
-Reviewed state is tracked per user, so marking an item reviewed does not hide it for other users.
-
-## Selecting and acting on multiple items
-
-To act on several items at once, start a selection by **Ctrl/Cmd-clicking** a card (desktop) or **long-pressing** one (mobile). Selected cards gain a colored ring matching their severity. Keyboard shortcuts speed this up: `Ctrl+A` selects all, `R` marks the selection reviewed, and `Esc` clears it.
-
-With items selected, an action bar appears with options to:
-
-- **Export** the selected items (a single item exports directly; multiple items open the batch [export](/usage/exports) dialog),
-- **Mark as reviewed** or **Mark as unreviewed**, and
-- **Delete** them (admins only).
-
-## Filtering and the calendar
-
-Use the filter controls in the header to narrow what's shown. The available filters depend on the tab: Alerts and Detections can be filtered by **cameras**, **date**, **labels**, **zones**, and whether items are already reviewed; the Motion tab can be filtered by **cameras**, **date**, and **motion only**.
-
-The **calendar** filter lets you jump to a specific day (it shows **Last 24 Hours** until you pick one). On each day:
-
-- An **underline** under the day number means **recordings exist** for that day. Days without recordings are dimmed.
-- A **colored dot** under the day number means there is **unreviewed activity** that day — a **red dot** for unreviewed alerts, or an **orange dot** for unreviewed detections when there are no unreviewed alerts. Motion is not represented by a dot.
-
-Future dates are disabled, and the week start and time zone follow your configuration.
-
-## Reviewing Motion
-
-The Review page also can show periods of motion that didn't produce a tracked object, and provides a way to search past recordings for motion in a specific region. These tools complement the alerts and detections workflow above — see [Tuning Motion Detection](/configuration/motion_detection) for how the underlying motion detector is configured.
-
-The **Motion** tab itself shows a multi-camera grid scrubbed to a shared point in time, with a draggable timeline and a playback-speed selector. A camera tile gains a colored ring when a review item or significant motion overlaps the current time, and clicking a tile opens that camera's recording at that moment. Each camera's options menu (the kebab in the corner of its tile) is where you open **Motion Previews** and **Motion Search**, described below.
-
-### Motion Previews
-
-The Motion Previews pane shows preview clips for periods of significant motion that did not produce a tracked object. It is useful for spotting things that motion detection picked up but object detection did not, which can help validate tuning or catch missed objects.
-
-On the <NavPath path="Review > Motion" /> page, click the kebab menu on a camera and choose **Motion Previews**. Each card represents a continuous range of motion-only activity and plays back the recorded preview for that range. A heatmap overlay dims areas of the frame with no motion so the moving regions stand out.
-
-The pane provides a few controls:
-
-- **Speed** — speeds up or slows down all of the preview clips at once.
-- **Dim** — controls how strongly non-motion areas are darkened by the heatmap overlay. Higher values increase motion area visibility.
-- **Filter** — opens a 16×16 grid overlaid on a snapshot of the camera. Select one or more cells to only show clips with motion in those regions. This is helpful for filtering out motion in areas like a busy street while keeping motion in your driveway.
-
-Clicking a preview clip seeks the recording player to that timestamp so you can review the full footage.
-
-### Motion Search
-
-Motion Search lets you scan recorded footage for changes inside a region of interest you draw on the camera. Unlike Motion Previews, which surfaces what Frigate's motion detector flagged in real time, Motion Search re-analyzes the saved recordings, so it can find changes that were missed (for example, an object that appeared while motion detection was paused by `lightning_threshold`, or in a region that is normally motion-masked).
-
-To start a search, open the Actions menu in [History](/usage/history) or click the kebab menu on a camera in the <NavPath path="Review > Motion" /> page and choose **Motion Search**. In the dialog:
-
-1. Pick the camera and time range to scan. In the date pickers, days that have recordings available are underlined.
-2. Draw a polygon on the camera frame to define the region of interest.
-3. Adjust the search parameters if needed:
-
-| Field                     | Description                                                                                                                                                                                                                                                                                                                   |
-| ------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
-| **Sensitivity Threshold** | Per-pixel luminance change required to count as motion inside the ROI. Behaves like Frigate's motion detection `threshold` setting.                                                                                                                                                                                           |
-| **Minimum Change Area**   | Minimum size of a single moving region, as a percentage of the ROI, for a frame to count as significant. Raise it to ignore small movements (leaves, distant motion); lower it when your subject covers only a small slice of the ROI. Every result shows the percentage it scored, so you can use those values to tune this. |
-| **Maximum Results**       | Maximum number of matching timestamps to return. The search stops once it reaches this many results, so a lower value finishes sooner while a higher value scans further into the range.                                                                                                                                      |
-| **Parallel mode**         | Decode multiple recording ranges at the same time. Speeds up large time ranges at the cost of higher decoding and CPU usage.                                                                                                                                                                                                  |
-
-Motion Search samples each recording's keyframes automatically, so there is no frame-rate or sampling setting to tune.
-
-Once running, Frigate scans the recording segments that overlap the time range and reports timestamps where changes were detected inside the polygon, along with the percentage of the ROI that changed. Clicking a result seeks the player to that moment so you can review what happened.
-
-The results panel shows the time range being scanned, a live progress bar with the timestamp currently being analyzed, and the running result count. A collapsible **Search Metrics** section reports how many segments were scanned and processed, how many were skipped because no motion was recorded in the ROI (using the stored motion heatmap), how many frames were decoded, and the total search time. Skipping segments with no recorded motion in the selected ROI is what makes searching long time ranges practical.
-
-#### Common use cases
-
-Frigate's main use case is to record and surface tracked objects, so Motion Search is most useful for the cases where object detection produced nothing — there is no object to find in Explore, but you suspect something happened.
-
-- **Locating an unattributed change.** You know something appeared, disappeared, or moved in a window of footage — a package now gone, a gate left open — but no detection points to it. A search returns the candidate timestamps instead of scrubbing the timeline by hand.
-- **An object that was never detected.** Something Frigate doesn't have a model label for, an object too small or distant to be detected, or movement in a region where detection isn't running. The activity left no tracked object but did change the pixels, so a search can still find it.
-- **Activity while detection was effectively paused.** Changes that occurred while object detection was disabled, motion was suppressed by `skip_motion_threshold`, or inside an area covered by a motion mask, won't appear as review items or tracked objects but can be recovered by searching the recordings directly.
-
-#### Examples
-
-These show how to choose the ROI and **Minimum Change Area** for two common goals. Minimum Change Area is the size of a single moving region as a percentage of the ROI you draw, so the right value depends on how much of the ROI your subject — and its movement between samples — covers.
-
-Because samples are a second or more apart, a moving subject usually appears in two places at once in the comparison, so even ordinary motion often scores tens of percent and a low threshold lets in almost everything. The most reliable approach is to **run a search, look at the percentage each result scored, and set Minimum Change Area just below the values for the events you care about.** The default is 20%; the suggestions below are starting points.
-
-- **When did this item first appear (or disappear)?** A package was dropped off, a car parked, or a trash can was moved, and you want the exact moment. Draw a **tight ROI** around the spot the item occupies and **raise Minimum Change Area** (start around 40–60%). Because the item fills most of a tight ROI, its arrival or removal is a large change, while smaller nearby motion (shadows, a passing pedestrian) stays below the threshold. The **earliest result** is when it appeared; if you only care about that moment, a low Maximum Results finishes faster. If you get no hits, the ROI is probably looser than the item — lower the threshold or tighten the ROI.
-- **What's been getting into the garden?** Something has been trampling a flower bed overnight and no object was ever tracked. Draw a **looser ROI** covering the whole bed and use a **lower Minimum Change Area than the case above** — start near the 20% default and lower it (toward 5–10%) only if a small or distant subject is missed, since it covers just a slice of a large region. Expect more results to scan through — step through the timestamps and jump to each to see what triggered it. If wind-blown plants add noise, raise Minimum Change Area or the Sensitivity Threshold.
-
-#### Expected performance
-
-Motion Search analyzes the saved recordings on demand rather than reading a pre-built index, so a search over a long range takes longer than browsing Motion Previews. Cost scales mainly with how much footage has to be examined: segments with no recorded motion in your ROI are skipped using the stored motion heatmap (shown as "segments skipped" in the status panel), so a quiet range finishes quickly while a busy one takes longer.
-
-To increase the speed of searches:
-
-- Draw a tight ROI. Because **Minimum Change Area** is measured as a percentage of the region you draw, a tight ROI around where you expect the change makes the object fill a larger share of the area, so it clears the threshold more easily. A loose ROI makes the same object a small fraction of the region, so it can fall below the threshold and be missed — forcing you to lower Minimum Change Area, which lets in more noise.
-- Narrow the time range to the window you care about, so there is less footage to examine.
-- Lower **Maximum Results** when you only need the first few hits. Because the search stops once it reaches that many results, a smaller value lets a busy range finish early instead of scanning the whole window.
-- Use Parallel mode to shorten wall-clock time on multi-core systems, at the cost of higher decoding and CPU usage while it runs.
-
-## AI review summaries
-
-When [Generative AI review](/configuration/genai/genai_review) is configured, Frigate can generate a title, description, and threat classification for review items and surface them automatically in Review and History. Clicking the summary chip opens an **AI Analysis** dialog with the generated detail and any flagged concerns.
-
-In Review, an additional icon appears on unreviewed items that the AI classified as **suspicious** (Level 1) or **critical** (Level 2), so the activity that most warrants attention stands out before you open it. The icon goes away once the item has been reviewed.

docs/sidebars.ts

@@ -17,126 +17,91 @@ const sidebars: SidebarsConfig = {
     ],
     Guides: [
       "guides/getting_started",
+      "guides/configuring_go2rtc",
       "guides/ha_notifications",
       "guides/ha_network_storage",
       "guides/reverse_proxy",
     ],
-    Usage: [
-      "usage/live",
-      "usage/review",
-      "usage/history",
-      "usage/explore",
-      "usage/exports",
-    ],
-    Configuration: [
-      "configuration/config",
-      {
-        type: "category",
-        label: "Detectors",
-        items: [
-          "configuration/object_detectors",
-          "configuration/audio_detectors",
-        ],
-      },
-      {
-        type: "category",
-        label: "Enrichments",
-        items: [
-          "configuration/semantic_search",
-          "configuration/face_recognition",
-          "configuration/license_plate_recognition",
-          "configuration/bird_classification",
-          {
-            type: "category",
-            label: "Custom Classification",
-            link: {
-              type: "generated-index",
-              title: "Custom Classification",
-              description: "Configuration for custom classification models",
-            },
-            items: [
-              "configuration/custom_classification/state_classification",
-              "configuration/custom_classification/object_classification",
-            ],
+    Configuration: {
+      "Configuration Files": [
+        "configuration/index",
+        "configuration/reference",
+        {
+          type: "link",
+          label: "Go2RTC Configuration Reference",
+          href: "https://github.com/AlexxIT/go2rtc/tree/v1.9.13#configuration",
+        } as PropSidebarItemLink,
+      ],
+      Detectors: [
+        "configuration/object_detectors",
+        "configuration/audio_detectors",
+      ],
+      Enrichments: [
+        "configuration/semantic_search",
+        "configuration/face_recognition",
+        "configuration/license_plate_recognition",
+        "configuration/bird_classification",
+        {
+          type: "category",
+          label: "Custom Classification",
+          link: {
+            type: "generated-index",
+            title: "Custom Classification",
+            description: "Configuration for custom classification models",
           },
-          {
-            type: "category",
-            label: "Generative AI",
-            link: {
-              type: "generated-index",
-              title: "Generative AI",
-              description: "Generative AI Features",
-            },
-            items: [
-              "configuration/genai/genai_config",
-              "configuration/genai/genai_review",
-              "configuration/genai/genai_objects",
-            ],
+          items: [
+            "configuration/custom_classification/state_classification",
+            "configuration/custom_classification/object_classification",
+          ],
+        },
+        {
+          type: "category",
+          label: "Generative AI",
+          link: {
+            type: "generated-index",
+            title: "Generative AI",
+            description: "Generative AI Features",
           },
-        ],
-      },
-      {
-        type: "category",
-        label: "Cameras",
-        items: [
-          "configuration/cameras",
-          "configuration/review",
-          "configuration/record",
-          "configuration/snapshots",
-          "configuration/motion_detection",
-          "configuration/birdseye",
-          "configuration/live",
-          "configuration/restream",
-          "configuration/autotracking",
-          "configuration/camera_specific",
-        ],
-      },
-      {
-        type: "category",
-        label: "Objects",
-        items: [
-          "configuration/object_filters",
-          "configuration/masks",
-          "configuration/zones",
-          "configuration/objects",
-          "configuration/stationary_objects",
-        ],
-      },
-      {
-        type: "category",
-        label: "Hardware Acceleration",
-        items: [
-          "configuration/hardware_acceleration_video",
-          "configuration/hardware_acceleration_enrichments",
-        ],
-      },
-      {
-        type: "category",
-        label: "Extra Configuration",
-        items: [
-          "configuration/authentication",
-          "configuration/notifications",
-          "configuration/profiles",
-          "configuration/go2rtc",
-          "configuration/ffmpeg_presets",
-          "configuration/pwa",
-          "configuration/tls",
-        ],
-      },
-      {
-        type: "category",
-        label: "Advanced Configuration",
-        items: [
-          "configuration/advanced/system",
-          "configuration/advanced/reference",
-          {
-            type: "link",
-            label: "Go2RTC Configuration Reference",
-            href: "https://github.com/AlexxIT/go2rtc/tree/v1.9.13#configuration",
-          } as PropSidebarItemLink,
-        ],
-      },
-    ],
+          items: [
+            "configuration/genai/genai_config",
+            "configuration/genai/genai_review",
+            "configuration/genai/genai_objects",
+          ],
+        },
+      ],
+      Cameras: [
+        "configuration/cameras",
+        "configuration/review",
+        "configuration/record",
+        "configuration/snapshots",
+        "configuration/motion_detection",
+        "configuration/birdseye",
+        "configuration/live",
+        "configuration/restream",
+        "configuration/autotracking",
+        "configuration/camera_specific",
+      ],
+      Objects: [
+        "configuration/object_filters",
+        "configuration/masks",
+        "configuration/zones",
+        "configuration/objects",
+        "configuration/stationary_objects",
+      ],
+      "Hardware Acceleration": [
+        "configuration/hardware_acceleration_video",
+        "configuration/hardware_acceleration_enrichments",
+      ],
+      "Extra Configuration": [
+        "configuration/authentication",
+        "configuration/notifications",
+        "configuration/profiles",
+        "configuration/ffmpeg_presets",
+        "configuration/pwa",
+        "configuration/tls",
+        "configuration/advanced",
+      ],
+    },
     Integrations: [
       "integrations/plus",
       "integrations/home-assistant",
@@ -165,7 +130,6 @@ const sidebars: SidebarsConfig = {
     ],
     Troubleshooting: [
       "troubleshooting/faqs",
-      "troubleshooting/go2rtc",
       "troubleshooting/recordings",
       "troubleshooting/dummy-camera",
       {

docs/static/frigate-api.yaml

@@ -7288,6 +7288,13 @@ components:
           title: Min Area
           description: Minimum change area as a percentage of the ROI
           default: 5
+        frame_skip:
+          type: integer
+          maximum: 30
+          minimum: 1
+          title: Frame Skip
+          description: "Process every Nth frame (1=all frames, 5=every 5th frame)"
+          default: 5
         parallel:
           type: boolean
           title: Parallel
@@ -7373,16 +7380,6 @@ components:
           anyOf:
             - $ref: "#/components/schemas/MotionSearchMetricsResponse"
             - type: "null"
-        scanning_timestamp:
-          anyOf:
-            - type: number
-            - type: "null"
-          title: Scanning Timestamp
-        progress:
-          anyOf:
-            - type: number
-            - type: "null"
-          title: Progress
       type: object
       required:
         - success

frigate/api/motion_search.py

@@ -41,6 +41,12 @@ class MotionSearchRequest(BaseModel):
         le=100.0,
         description="Minimum change area as a percentage of the ROI",
     )
+    frame_skip: int = Field(
+        default=30,
+        ge=1,
+        le=120,
+        description="Process every Nth frame (1=all frames, 5=every 5th frame)",
+    )
     parallel: bool = Field(
         default=False,
         description="Enable parallel scanning across segments",
@@ -91,8 +97,6 @@ class MotionSearchStatusResponse(BaseModel):
     total_frames_processed: Optional[int] = None
     error_message: Optional[str] = None
     metrics: Optional[MotionSearchMetricsResponse] = None
-    scanning_timestamp: Optional[float] = None
-    progress: Optional[float] = None
 
 
 @router.post(
@@ -147,6 +151,7 @@ async def start_motion_search(
         polygon_points=body.polygon_points,
         threshold=body.threshold,
         min_area=body.min_area,
+        frame_skip=body.frame_skip,
         parallel=body.parallel,
         max_results=body.max_results,
     )
@@ -226,9 +231,6 @@ async def get_motion_search_status_endpoint(
     if job.metrics:
         response_content["metrics"] = job.metrics.to_dict()
 
-    response_content["scanning_timestamp"] = job.scanning_timestamp
-    response_content["progress"] = job.progress
-
     return JSONResponse(content=response_content)
 
 

frigate/api/record.py

@@ -299,36 +299,22 @@ async def no_recordings(
         .iterator()
     )
 
-    # Convert recordings to list of (start, end) tuples, ordered by start_time
+    # Convert recordings to list of (start, end) tuples
     recordings = [(r["start_time"], r["end_time"]) for r in data]
 
-    # Merge overlapping/adjacent recordings into covered intervals. The query
-    # orders by start_time, so a single pass merges them
-    covered: list[tuple[float, float]] = []
-    for rec_start, rec_end in recordings:
-        if covered and rec_start <= covered[-1][1]:
-            covered[-1] = (covered[-1][0], max(covered[-1][1], rec_end))
-        else:
-            covered.append((rec_start, rec_end))
-
     # Iterate through time segments and check if each has any recording
     no_recording_segments = []
     current = after
     current_gap_start = None
-    idx = 0
-    covered_count = len(covered)
 
     while current < before:
         segment_end = min(current + scale, before)
 
-        # Advance past covered intervals that end before this segment begins;
-        # they cannot overlap this or any later segment.
-        while idx < covered_count and covered[idx][1] <= current:
-            idx += 1
-
-        # A covered interval overlaps the segment when it starts before the
-        # segment ends (its end is already known to be > current).
-        has_recording = idx < covered_count and covered[idx][0] < segment_end
+        # Check if this segment overlaps with any recording
+        has_recording = any(
+            rec_start < segment_end and rec_end > current
+            for rec_start, rec_end in recordings
+        )
 
         if not has_recording:
             # This segment has no recordings

frigate/api/review.py

@@ -605,10 +605,9 @@ def motion_activity(
         if not filtered:
             return JSONResponse(content=[])
         camera_list = list(filtered)
+        clauses.append((Recordings.camera << camera_list))
     else:
-        camera_list = list(allowed_cameras)
-
-    clauses.append((Recordings.camera << camera_list))
+        clauses.append((Recordings.camera << allowed_cameras))
 
     data: list[Recordings] = (
         Recordings.select(
@@ -636,12 +635,14 @@ def motion_activity(
     df.set_index(["start_time"], inplace=True)
 
     # normalize data
-    motion = df["motion"].resample(f"{scale}s").max().fillna(0.0).to_frame()
-
-    if len(camera_list) == 1:
-        cameras = df["camera"].resample(f"{scale}s").first().fillna("")
-    else:
-        cameras = df["camera"].resample(f"{scale}s").agg(lambda x: ",".join(set(x)))
+    motion = (
+        df["motion"]
+        .resample(f"{scale}s")
+        .apply(lambda x: max(x, key=abs, default=0.0))
+        .fillna(0.0)
+        .to_frame()
+    )
+    cameras = df["camera"].resample(f"{scale}s").agg(lambda x: ",".join(set(x)))
     df = motion.join(cameras)
 
     length = df.shape[0]
@@ -657,11 +658,6 @@ def motion_activity(
         else:
             df.iloc[i : i + chunk, 0] = 0.0
 
-    # Drop resample gap-fill buckets. The resample above emits a row for every
-    # {scale}s bucket spanning the range, and buckets with no recording get a
-    # motion of 0 (from fillna) and an empty camera (from joining an empty set).
-    df = df[df["camera"] != ""]
-
     # change types for output
     df.index = df.index.astype(int) // (10**9)
     normalized = df.reset_index().to_dict("records")

frigate/config/camera/ffmpeg.py

@@ -3,7 +3,7 @@ from typing import Union
 
 from pydantic import Field, field_validator
 
-from frigate.util.config import resolve_ffmpeg_path
+from frigate.const import DEFAULT_FFMPEG_VERSION, INCLUDED_FFMPEG_VERSIONS
 
 from ..base import FrigateBaseModel
 from ..env import EnvString
@@ -49,7 +49,7 @@ class FfmpegConfig(FrigateBaseModel):
     path: str = Field(
         default="default",
         title="FFmpeg path",
-        description='Path to the FFmpeg binary to use or a version alias ("5.0" or "8.0").',
+        description='Path to the FFmpeg binary to use or a version alias ("5.0" or "7.0").',
     )
     global_args: Union[str, list[str]] = Field(
         default=FFMPEG_GLOBAL_ARGS_DEFAULT,
@@ -90,11 +90,21 @@ class FfmpegConfig(FrigateBaseModel):
 
     @property
     def ffmpeg_path(self) -> str:
-        return resolve_ffmpeg_path(self.path, "ffmpeg")
+        if self.path == "default":
+            return f"/usr/lib/ffmpeg/{DEFAULT_FFMPEG_VERSION}/bin/ffmpeg"
+        elif self.path in INCLUDED_FFMPEG_VERSIONS:
+            return f"/usr/lib/ffmpeg/{self.path}/bin/ffmpeg"
+        else:
+            return f"{self.path}/bin/ffmpeg"
 
     @property
     def ffprobe_path(self) -> str:
-        return resolve_ffmpeg_path(self.path, "ffprobe")
+        if self.path == "default":
+            return f"/usr/lib/ffmpeg/{DEFAULT_FFMPEG_VERSION}/bin/ffprobe"
+        elif self.path in INCLUDED_FFMPEG_VERSIONS:
+            return f"/usr/lib/ffmpeg/{self.path}/bin/ffprobe"
+        else:
+            return f"{self.path}/bin/ffprobe"
 
 
 class CameraRoleEnum(str, Enum):

frigate/config/camera/ui.py

@@ -16,8 +16,3 @@ class CameraUiConfig(FrigateBaseModel):
         title="Show in UI",
         description="Toggle whether this camera is visible everywhere in the Frigate UI. Disabling this will require manually editing the config to view this camera in the UI again.",
     )
-    review: bool = Field(
-        default=True,
-        title="Show in review",
-        description="Toggle whether this camera is visible in review (the review page and its camera filter, motion review, and the history view).",
-    )

frigate/config/profile_manager.py

@@ -5,7 +5,7 @@ import json
 import logging
 from datetime import datetime, timezone
 from pathlib import Path
-from typing import Any, Callable, Optional
+from typing import Optional
 
 from frigate.config.camera.updater import (
     CameraConfigUpdateEnum,
@@ -34,45 +34,6 @@ PROFILE_SECTION_UPDATES: dict[str, CameraConfigUpdateEnum] = {
     "zones": CameraConfigUpdateEnum.zones,
 }
 
-# Retained MQTT switch topics per profile section, with a payload getter.
-# Republished on profile change so MQTT/HA don't show a stale toggle.
-SECTION_STATE_TOPICS: dict[str, list[tuple[str, Callable[[Any], Any]]]] = {
-    "audio": [("audio", lambda c: "ON" if c.audio.enabled else "OFF")],
-    "birdseye": [
-        ("birdseye", lambda c: "ON" if c.birdseye.enabled else "OFF"),
-        (
-            "birdseye_mode",
-            lambda c: c.birdseye.mode.value.upper() if c.birdseye.enabled else "OFF",
-        ),
-    ],
-    "detect": [("detect", lambda c: "ON" if c.detect.enabled else "OFF")],
-    "motion": [
-        ("motion", lambda c: "ON" if c.motion.enabled else "OFF"),
-        ("improve_contrast", lambda c: "ON" if c.motion.improve_contrast else "OFF"),
-        ("motion_threshold", lambda c: c.motion.threshold),
-        ("motion_contour_area", lambda c: c.motion.contour_area),
-    ],
-    "notifications": [
-        ("notifications", lambda c: "ON" if c.notifications.enabled else "OFF"),
-    ],
-    "objects": [
-        ("object_descriptions", lambda c: "ON" if c.objects.genai.enabled else "OFF"),
-    ],
-    "record": [("recordings", lambda c: "ON" if c.record.enabled else "OFF")],
-    "review": [
-        ("review_alerts", lambda c: "ON" if c.review.alerts.enabled else "OFF"),
-        (
-            "review_detections",
-            lambda c: "ON" if c.review.detections.enabled else "OFF",
-        ),
-        (
-            "review_descriptions",
-            lambda c: "ON" if c.review.genai.enabled else "OFF",
-        ),
-    ],
-    "snapshots": [("snapshots", lambda c: "ON" if c.snapshots.enabled else "OFF")],
-}
-
 PERSISTENCE_FILE = Path(CONFIG_DIR) / ".profiles"
 
 
@@ -349,15 +310,6 @@ class ProfileManager:
                         settings,
                     )
 
-                # republish MQTT switch states
-                if self.dispatcher is not None:
-                    for suffix, get_payload in SECTION_STATE_TOPICS.get(section, ()):
-                        self.dispatcher.publish(
-                            f"{cam_name}/{suffix}/state",
-                            get_payload(cam_config),
-                            retain=True,
-                        )
-
     def _persist_active_profile(self, profile_name: Optional[str]) -> None:
         """Persist the active profile state to disk as JSON."""
         try:

frigate/detectors/detection_runners.py

@@ -15,9 +15,6 @@ from frigate.util.rknn_converter import auto_convert_model, is_rknn_compatible
 
 logger = logging.getLogger(__name__)
 
-# Process-wide lock serializing all OpenVINO compile/inference calls
-_OPENVINO_LOCK = threading.Lock()
-
 
 def is_arm64_platform() -> bool:
     """Check if we're running on an ARM platform."""
@@ -329,17 +326,19 @@ class OpenVINOModelRunner(BaseModelRunner):
             except Exception as e:
                 logger.debug(f"NPU_TURBO not supported by driver: {e}")
 
-        # Compile model under the shared lock
-        with _OPENVINO_LOCK:
-            self.compiled_model = self.ov_core.compile_model(
-                model=model_path, device_name=device
-            )
-
-            # Create reusable inference request
-            self.infer_request = self.compiled_model.create_infer_request()
+        # Compile model
+        self.compiled_model = self.ov_core.compile_model(
+            model=model_path, device_name=device
+        )
 
+        # Create reusable inference request
+        self.infer_request = self.compiled_model.create_infer_request()
         self.input_tensor: ov.Tensor | None = None
 
+        # Thread lock to prevent concurrent inference (needed for JinaV2 which shares
+        # one runner between text and vision embeddings called from different threads)
+        self._inference_lock = threading.Lock()
+
         if not self.complex_model:
             try:
                 input_shape = self.compiled_model.inputs[0].get_shape()
@@ -383,11 +382,9 @@ class OpenVINOModelRunner(BaseModelRunner):
         Returns:
             List of output tensors
         """
-        # Shared lock serializes inference across every OpenVINO runner in this
-        # process — both the shared-runner JinaV2 case (genai text thread +
-        # embeddings vision thread) and distinct runners running on separate
-        # threads (e.g. the ArcFace face-model build vs the LPR detector).
-        with _OPENVINO_LOCK:
+        # Lock prevents concurrent access to infer_request
+        # Needed for JinaV2: genai thread (text) + embeddings thread (vision)
+        with self._inference_lock:
             from frigate.embeddings.types import EnrichmentModelTypeEnum
 
             if self.model_type in [EnrichmentModelTypeEnum.arcface.value]:

frigate/ffmpeg_presets.py

@@ -465,6 +465,16 @@ PRESETS_RECORD_OUTPUT = {
         "-c:a",
         "aac",
     ],
+    # NOTE: This preset originally used "-c:a copy" to pass through audio
+    # without re-encoding. FFmpeg 7.x introduced a threaded pipeline where
+    # demuxing, encoding, and muxing run in parallel via a Scheduler. This
+    # broke audio streamcopy from RTSP sources: packets are demuxed correctly
+    # but silently dropped before reaching the muxer (0 bytes written). The
+    # issue is specific to RTSP + streamcopy; file inputs and transcoding both
+    # work. Transcoding AAC audio is very lightweight (~30KiB per 10s segment)
+    # and adds negligible CPU overhead, so this is an acceptable workaround.
+    # The benefits of FFmpeg 7.x — particularly the removal of gamma correction
+    # hacks required by earlier versions — outweigh this trade-off.
     "preset-record-generic-audio-copy": [
         "-f",
         "segment",
@@ -476,8 +486,10 @@ PRESETS_RECORD_OUTPUT = {
         "1",
         "-strftime",
         "1",
-        "-c",
+        "-c:v",
         "copy",
+        "-c:a",
+        "aac",
     ],
     "preset-record-mjpeg": [
         "-f",

frigate/jobs/motion_search.py

@@ -3,8 +3,6 @@
 import logging
 import os
 import threading
-import time
-from collections.abc import Callable, Generator, Iterable
 from concurrent.futures import Future, ThreadPoolExecutor, as_completed
 from dataclasses import asdict, dataclass, field
 from datetime import datetime
@@ -21,18 +19,6 @@ from frigate.jobs.manager import (
     get_job_by_id,
     set_current_job,
 )
-from frigate.jobs.motion_search_batch import (
-    build_segment_time_map,
-    coalesce_runs,
-    stream_time_to_absolute,
-)
-from frigate.jobs.motion_search_decode import (
-    iter_vod_frames,
-    keyframe_sampling_eligible,
-    probe_video_dimensions,
-    probe_vod_keyframe_pts,
-    resolve_motion_decode_args,
-)
 from frigate.models import Recordings
 from frigate.types import JobStatusTypesEnum
 
@@ -40,18 +26,6 @@ logger = logging.getLogger(__name__)
 
 # Constants
 HEATMAP_GRID_SIZE = 16
-# Max wall-clock span of one VOD run request (seconds). Bounds per-request size
-# and gives streaming/cancel/early-exit granularity.
-MAX_RUN_SECONDS = 600.0
-# Treat segments within this many seconds end-to-start as time-contiguous.
-RUN_GAP_EPSILON = 1.0
-# Longest-side pixels for the ROI downscale before motion detection.
-SCALE_TARGET = 400
-# Minimum wall seconds between intra-run progress broadcasts.
-PROGRESS_BROADCAST_INTERVAL = 1.0
-# Output frame rate for the fixed-cadence fallback used on long-GOP cameras
-# (where keyframe sampling is too sparse). Keyframe cameras ignore this.
-FALLBACK_SAMPLE_FPS = 2.0
 
 
 @dataclass
@@ -95,16 +69,13 @@ class MotionSearchJob(Job):
     polygon_points: list[list[float]] = field(default_factory=list)
     threshold: int = 30
     min_area: float = 5.0
+    frame_skip: int = 5
     parallel: bool = False
     max_results: int = 25
 
     # Track progress
     total_frames_processed: int = 0
 
-    # Live progress (ride the existing to_dict() websocket broadcast)
-    scanning_timestamp: Optional[float] = None
-    progress: float = 0.0
-
     # Metrics for observability
     metrics: Optional[MotionSearchMetrics] = None
 
@@ -129,113 +100,6 @@ def create_polygon_mask(
     return mask
 
 
-def compute_roi_crop_and_scale(
-    polygon_points: list[list[float]],
-    frame_width: int,
-    frame_height: int,
-    scale_target: int,
-) -> tuple[tuple[int, int, int, int], tuple[int, int]]:
-    """Compute the ROI crop box and never-upscale scaled dimensions.
-
-    Returns ((crop_w, crop_h, crop_x, crop_y), (scaled_w, scaled_h)) in pixels.
-    The crop is the polygon's bounding box in frame pixels; the scaled size fits
-    the crop's longest side to ``scale_target`` without ever enlarging it.
-    """
-    xs = [p[0] for p in polygon_points]
-    ys = [p[1] for p in polygon_points]
-    # nv12 (4:2:0) hwdownload requires even crop offsets and even crop/scale
-    # dimensions; otherwise ffmpeg rounds the chroma planes and the raw byte
-    # stream stops matching the expected frame size. Force even values, and the
-    # mask is built from these same values so the two stay aligned.
-    crop_x = int(min(xs) * frame_width)
-    crop_y = int(min(ys) * frame_height)
-    crop_x -= crop_x % 2
-    crop_y -= crop_y % 2
-    crop_w = max(2, int(max(xs) * frame_width) - crop_x)
-    crop_h = max(2, int(max(ys) * frame_height) - crop_y)
-    crop_w -= crop_w % 2
-    crop_h -= crop_h % 2
-
-    longest = max(crop_w, crop_h)
-    factor = min(1.0, scale_target / longest)
-    scaled_w = max(2, round(crop_w * factor))
-    scaled_h = max(2, round(crop_h * factor))
-    scaled_w -= scaled_w % 2
-    scaled_h -= scaled_h % 2
-    return (crop_w, crop_h, crop_x, crop_y), (scaled_w, scaled_h)
-
-
-def build_scaled_roi_mask(
-    polygon_points: list[list[float]],
-    frame_width: int,
-    frame_height: int,
-    crop: tuple[int, int, int, int],
-    scaled: tuple[int, int],
-) -> np.ndarray:
-    """Rasterize the polygon mask at the scaled ROI size.
-
-    Builds the full-resolution mask, crops it to the ROI box, and nearest-
-    neighbor resizes it to the scaled dimensions so it lines up exactly with the
-    frames ffmpeg crops and scales.
-    """
-    crop_w, crop_h, crop_x, crop_y = crop
-    scaled_w, scaled_h = scaled
-    full_mask = create_polygon_mask(polygon_points, frame_width, frame_height)
-    cropped = full_mask[crop_y : crop_y + crop_h, crop_x : crop_x + crop_w]
-    return cv2.resize(cropped, (scaled_w, scaled_h), interpolation=cv2.INTER_NEAREST)
-
-
-def detect_motion_scaled(
-    frames: Iterable[tuple[int, np.ndarray]],
-    mask: np.ndarray,
-    threshold: int,
-    min_area: float,
-    timestamp_fn: Callable[[int], float],
-) -> list[MotionSearchResult]:
-    """Detect motion across pre-cropped, pre-scaled gray frames.
-
-    ``frames`` yields (absolute_frame_index, gray_roi_frame); ``mask`` is the
-    scaled ROI mask. ``min_area`` is a percentage of the masked ROI. Mirrors the
-    full-res detection math (absdiff -> blur -> threshold -> dilate -> contours)
-    on the already-reduced frames.
-    """
-    results: list[MotionSearchResult] = []
-    mask_area = np.count_nonzero(mask)
-    if mask_area == 0:
-        return results
-    min_area_pixels = int((min_area / 100.0) * mask_area)
-
-    prev: np.ndarray | None = None
-    for frame_idx, gray in frames:
-        masked = cv2.bitwise_and(gray, gray, mask=mask)
-        if prev is not None:
-            diff = cv2.absdiff(prev, masked)
-            diff_blurred = cv2.GaussianBlur(diff, (3, 3), 0)
-            _, thresh = cv2.threshold(diff_blurred, threshold, 255, cv2.THRESH_BINARY)
-            thresh_dilated = cv2.dilate(thresh, None, iterations=1)  # type: ignore[call-overload]
-            thresh_masked = cv2.bitwise_and(thresh_dilated, thresh_dilated, mask=mask)
-            change_pixels = cv2.countNonZero(thresh_masked)
-            if change_pixels > min_area_pixels:
-                contours, _ = cv2.findContours(
-                    thresh_masked, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE
-                )
-                total_change_area = sum(
-                    cv2.contourArea(c)
-                    for c in contours
-                    if cv2.contourArea(c) >= min_area_pixels
-                )
-                if total_change_area > 0:
-                    change_percentage = (total_change_area / mask_area) * 100
-                    results.append(
-                        MotionSearchResult(
-                            timestamp=timestamp_fn(frame_idx),
-                            change_percentage=round(change_percentage, 2),
-                        )
-                    )
-        prev = masked
-    return results
-
-
 def compute_roi_bbox_normalized(
     polygon_points: list[list[float]],
 ) -> tuple[float, float, float, float]:
@@ -320,22 +184,6 @@ def segment_passes_heatmap_gate(
     return heatmap_overlaps_roi(heatmap, roi_bbox)
 
 
-def resolve_internal_port(config: FrigateConfig) -> int:
-    """Return the unauthenticated internal nginx port for VOD requests."""
-    listen = config.networking.listen.internal
-    if isinstance(listen, str):
-        return int(listen.split(":")[-1])
-    return int(listen)
-
-
-def build_vod_url(internal_port: int, camera: str, start: float, end: float) -> str:
-    """Build the internal VOD HLS URL for a camera time range."""
-    return (
-        f"http://127.0.0.1:{internal_port}/vod/{camera}"
-        f"/start/{start}/end/{end}/index.m3u8"
-    )
-
-
 class MotionSearchRunner(threading.Thread):
     """Thread-based runner for motion search jobs with parallel verification."""
 
@@ -358,23 +206,6 @@ class MotionSearchRunner(threading.Thread):
         cpu_count = os.cpu_count() or 1
         self.max_workers = min(4, cpu_count)
 
-        # Resolved once per job in _execute_search
-        self.ffmpeg_path: str = "ffmpeg"
-        self.ffprobe_path: str = "ffprobe"
-        self.decode_args: list[str] = []
-        # Keyframe sampling decision, decided once per job from the first run's
-        # GOP. The fallback cadence is a fixed rate (see FALLBACK_SAMPLE_FPS).
-        self.use_keyframe: bool = True
-        self.fps_rate: float = FALLBACK_SAMPLE_FPS
-        # ROI crop/scale + scaled mask, computed once from the VOD-stream
-        # dimensions (which can differ from the detect resolution).
-        self.crop: tuple[int, int, int, int] = (0, 0, 0, 0)
-        self.scaled: tuple[int, int] = (0, 0)
-        self.scaled_mask: np.ndarray = np.zeros((0, 0), dtype=np.uint8)
-        self.channels: int = 1
-        self.internal_port: int = 5000
-        self._last_progress_broadcast: float = 0.0
-
     def run(self) -> None:
         """Execute the motion search job."""
         try:
@@ -450,9 +281,6 @@ class MotionSearchRunner(threading.Thread):
         if frame_width is None or frame_height is None:
             raise ValueError(f"Camera {camera_name} detect dimensions not configured")
 
-        self.ffmpeg_path = camera_config.ffmpeg.ffmpeg_path
-        self.ffprobe_path = camera_config.ffmpeg.ffprobe_path
-
         # Create polygon mask
         polygon_mask = create_polygon_mask(
             self.job.polygon_points, frame_width, frame_height
@@ -556,274 +384,205 @@ class MotionSearchRunner(threading.Thread):
             self.metrics.heatmap_roi_skip_segments,
         )
 
-        # Resolve decode backend (allowlisted hwaccel or software), coalesce the
-        # gate-passing segments into time-contiguous runs, and probe the first
-        # run's VOD stream once for dimensions + keyframe layout. VOD output is
-        # what we decode, so crop/scale/mask are computed against it.
-        self.internal_port = resolve_internal_port(self.config)
-        self.decode_args = resolve_motion_decode_args(camera_config)
-        ffprobe_path = self.ffprobe_path
+        if self.job.parallel:
+            return self._search_motion_parallel(filtered_recordings, polygon_mask)
 
-        runs = coalesce_runs(filtered_recordings, MAX_RUN_SECONDS, RUN_GAP_EPSILON)
-        if not runs:
-            return []
+        return self._search_motion_sequential(filtered_recordings, polygon_mask)
 
-        first_run = runs[0]
-        first_url = build_vod_url(
-            self.internal_port,
-            camera_name,
-            float(first_run[0].start_time),
-            float(first_run[-1].end_time),
-        )
-        dims = probe_video_dimensions(ffprobe_path, first_url)
-        if dims is None:
-            raise ValueError(f"Could not probe VOD dimensions for camera {camera_name}")
-        rec_width, rec_height, _rec_fps = dims
-
-        self.crop, self.scaled = compute_roi_crop_and_scale(
-            self.job.polygon_points, rec_width, rec_height, SCALE_TARGET
-        )
-        self.scaled_mask = build_scaled_roi_mask(
-            self.job.polygon_points, rec_width, rec_height, self.crop, self.scaled
-        )
-        self.channels = 1  # always gray output
-
-        # Decide keyframe vs fixed-cadence sampling once from the first run's GOP
-        # (keyframe structure is a per-camera constant).
-        first_pts = probe_vod_keyframe_pts(ffprobe_path, first_url)
-        self.use_keyframe = keyframe_sampling_eligible(first_pts)
+    def _search_motion_parallel(
+        self,
+        recordings: list[Recordings],
+        polygon_mask: np.ndarray,
+    ) -> list[MotionSearchResult]:
+        """Search for motion in parallel across segments, streaming results."""
+        all_results: list[MotionSearchResult] = []
+        total_frames = 0
+        next_recording_idx_to_merge = 0
 
         logger.debug(
-            "Motion search job %s: %d runs, sampling=%s, hwaccel=%s, vod=%dx%d",
+            "Motion search job %s: starting motion search with %d workers "
+            "across %d segments",
             self.job.id,
-            len(runs),
-            "keyframe" if self.use_keyframe else "cadence",
-            bool(self.decode_args),
-            rec_width,
-            rec_height,
+            self.max_workers,
+            len(recordings),
         )
 
-        return self._search_runs(runs)
-
-    def _emit_progress(self, abs_ts: float) -> None:
-        """Throttled intra-run progress broadcast (scanning cursor)."""
-        now = time.monotonic()
-        if now - self._last_progress_broadcast < PROGRESS_BROADCAST_INTERVAL:
-            return
-        self._last_progress_broadcast = now
-        self.job.scanning_timestamp = abs_ts
-        self._broadcast_status()
-
-    def _detect_with_progress(
-        self,
-        indexed_frames: list[tuple[int, np.ndarray]],
-        timestamp_fn: Callable[[int], float],
-    ) -> list[MotionSearchResult]:
-        """Run detection while firing throttled progress as frames are scanned."""
-
-        def _gen() -> Generator[tuple[int, np.ndarray], None, None]:
-            for i, frame in indexed_frames:
-                if not self._should_stop():
-                    self._emit_progress(timestamp_fn(i))
-                yield i, frame
-
-        return detect_motion_scaled(
-            _gen(),
-            self.scaled_mask,
-            self.job.threshold,
-            self.job.min_area,
-            timestamp_fn,
-        )
-
-    def _process_run(
-        self, run: list[Recordings]
-    ) -> tuple[list[MotionSearchResult], int]:
-        """Decode one run's VOD stream and detect motion.
-
-        Keyframe mode compares every decoded keyframe (free recall, since they
-        are all decoded anyway) paired with its probed PTS; if the decoded and
-        probed counts disagree (the decoder ignored ``-skip_frame nokey`` or the
-        stream is corrupt) this run re-runs in the fixed-cadence fallback.
-        Returns ``(results, frame_count)``.
-        """
-        run_start: float = run[0].start_time  # type: ignore[assignment]
-        run_end: float = run[-1].end_time  # type: ignore[assignment]
-        vod_url = build_vod_url(self.internal_port, self.job.camera, run_start, run_end)
-        time_map = build_segment_time_map(run)
-
-        if self.use_keyframe:
-            kf_pts = probe_vod_keyframe_pts(self.ffprobe_path, vod_url)
-            frames = list(
-                iter_vod_frames(
-                    self.ffmpeg_path,
-                    vod_url,
-                    self.scaled[0],
-                    self.scaled[1],
-                    self.channels,
-                    self.decode_args,
-                    self.crop,
-                    self.scaled,
-                    True,
-                    self._should_stop,
-                    skip_nonkey=True,
-                    fps_rate=None,
-                )
-            )
-            if kf_pts and len(frames) == len(kf_pts):
-                abs_times = [stream_time_to_absolute(time_map, p) for p in kf_pts]
-                indexed = list(enumerate(frames))
-
-                def _ts_kf(i: int) -> float:
-                    return abs_times[i]
-
-                results = self._detect_with_progress(indexed, _ts_kf)
-                return results, len(frames)
-
-            logger.debug(
-                "Keyframe count mismatch (%d decoded vs %d probed), using cadence",
-                len(frames),
-                len(kf_pts),
-            )
-
-        return self._process_run_cadence(vod_url, time_map)
-
-    def _process_run_cadence(
-        self, vod_url: str, time_map: list[tuple[float, float, float]]
-    ) -> tuple[list[MotionSearchResult], int]:
-        """Fixed-cadence fallback: fps-filtered VOD decode, evenly spaced times."""
-        frames = list(
-            iter_vod_frames(
-                self.ffmpeg_path,
-                vod_url,
-                self.scaled[0],
-                self.scaled[1],
-                self.channels,
-                self.decode_args,
-                self.crop,
-                self.scaled,
-                True,
-                self._should_stop,
-                skip_nonkey=False,
-                fps_rate=self.fps_rate,
-            )
-        )
-        indexed = list(enumerate(frames))
-
-        def _ts_fps(i: int) -> float:
-            return stream_time_to_absolute(time_map, i / self.fps_rate)
-
-        results = self._detect_with_progress(indexed, _ts_fps)
-        return results, len(frames)
-
-    def _merge_run(
-        self,
-        run: list[Recordings],
-        run_results: list[MotionSearchResult],
-        frames: int,
-        state: dict[str, Any],
-    ) -> bool:
-        """Fold one run's output into the running results; stream + dedup.
-
-        Returns True once ``max_results`` deduped hits have accumulated.
-        """
-        state["completed_runs"] += 1
-        state["all_results"].extend(run_results)
-        state["total_frames"] += frames
-        self.job.total_frames_processed = state["total_frames"]
-        self.metrics.frames_decoded = state["total_frames"]
-        self.metrics.segments_processed += len(run)
-        self.job.progress = state["completed_runs"] / state["total_runs"]
-
-        state["all_results"].sort(key=lambda r: r.timestamp)
-        deduped = self._deduplicate_results(state["all_results"])[
-            : self.job.max_results
-        ]
-        self.job.results = {
-            "results": [r.to_dict() for r in deduped],
-            "total_frames_processed": state["total_frames"],
-        }
-        self._broadcast_status()
-        return len(deduped) >= self.job.max_results
-
-    def _search_runs(self, runs: list[list[Recordings]]) -> list[MotionSearchResult]:
-        """Decode runs (parallel pool when enabled), merge in order, stream."""
-        state: dict[str, Any] = {
-            "all_results": [],
-            "total_frames": 0,
-            "completed_runs": 0,
-            "total_runs": len(runs),
-        }
+        # Initialize partial results on the job so they stream to the frontend
         self.job.results = {"results": [], "total_frames_processed": 0}
 
-        logger.debug(
-            "Motion search job %s: searching %d runs (parallel=%s, workers=%d)",
-            self.job.id,
-            len(runs),
-            self.job.parallel,
-            self.max_workers,
-        )
+        with ThreadPoolExecutor(max_workers=self.max_workers) as executor:
+            futures: dict[Future, int] = {}
+            completed_segments: dict[int, tuple[list[MotionSearchResult], int]] = {}
 
-        if self.job.parallel and len(runs) > 1:
-            with ThreadPoolExecutor(max_workers=self.max_workers) as executor:
-                futures: dict[Future, int] = {}
-                for idx, run in enumerate(runs):
-                    if self._should_stop():
-                        break
-                    futures[executor.submit(self._process_run, run)] = idx
+            for idx, recording in enumerate(recordings):
+                if self._should_stop():
+                    break
 
-                completed: dict[int, tuple[list[MotionSearchResult], int]] = {}
-                next_idx = 0
-                for future in as_completed(futures):
-                    if self._should_stop():
-                        break
-                    run_idx = futures[future]
-                    try:
-                        completed[run_idx] = future.result()
-                    except Exception as e:
-                        self.metrics.segments_with_errors += 1
-                        logger.warning("Error processing run %d: %s", run_idx, e)
-                        completed[run_idx] = ([], 0)
+                rec_start: float = recording.start_time  # type: ignore[assignment]
+                rec_end: float = recording.end_time  # type: ignore[assignment]
+                future = executor.submit(
+                    self._process_recording_for_motion,
+                    str(recording.path),
+                    rec_start,
+                    rec_end,
+                    self.job.start_time_range,
+                    self.job.end_time_range,
+                    polygon_mask,
+                    self.job.threshold,
+                    self.job.min_area,
+                    self.job.frame_skip,
+                )
+                futures[future] = idx
 
-                    while next_idx in completed:
-                        run_results, frames = completed.pop(next_idx)
-                        if self._merge_run(runs[next_idx], run_results, frames, state):
+            for future in as_completed(futures):
+                if self._should_stop():
+                    # Cancel remaining futures
+                    for f in futures:
+                        f.cancel()
+                    break
+
+                recording_idx = futures[future]
+                recording = recordings[recording_idx]
+
+                try:
+                    results, frames = future.result()
+                    self.metrics.segments_processed += 1
+                    completed_segments[recording_idx] = (results, frames)
+
+                    while next_recording_idx_to_merge in completed_segments:
+                        segment_results, segment_frames = completed_segments.pop(
+                            next_recording_idx_to_merge
+                        )
+
+                        all_results.extend(segment_results)
+                        total_frames += segment_frames
+                        self.job.total_frames_processed = total_frames
+                        self.metrics.frames_decoded = total_frames
+
+                        if segment_results:
+                            deduped = self._deduplicate_results(all_results)
+                            self.job.results = {
+                                "results": [
+                                    r.to_dict() for r in deduped[: self.job.max_results]
+                                ],
+                                "total_frames_processed": total_frames,
+                            }
+
+                        self._broadcast_status()
+
+                        if segment_results and len(deduped) >= self.job.max_results:
                             self.internal_stop_event.set()
-                            for pending in futures:
-                                pending.cancel()
+                            for pending_future in futures:
+                                pending_future.cancel()
                             break
-                        next_idx += 1
+
+                        next_recording_idx_to_merge += 1
 
                     if self.internal_stop_event.is_set():
                         break
-        else:
-            for run in runs:
-                if self._should_stop():
-                    break
-                try:
-                    run_results, frames = self._process_run(run)
-                except Exception as e:
-                    self.metrics.segments_with_errors += 1
-                    self.metrics.segments_processed += len(run)
-                    self._broadcast_status()
-                    logger.warning("Error processing run: %s", e)
-                    continue
-                if self._merge_run(run, run_results, frames, state):
-                    break
 
-        all_results: list[MotionSearchResult] = state["all_results"]
-        self.job.total_frames_processed = state["total_frames"]
-        self.metrics.frames_decoded = state["total_frames"]
-        self.job.progress = 1.0
+                except Exception as e:
+                    self.metrics.segments_processed += 1
+                    self.metrics.segments_with_errors += 1
+                    self._broadcast_status()
+                    logger.warning(
+                        "Error processing segment %s: %s",
+                        recording.path,
+                        e,
+                    )
+
+        self.job.total_frames_processed = total_frames
+        self.metrics.frames_decoded = total_frames
 
         logger.debug(
-            "Motion search job %s: complete, %d raw results, %d frames, %d errors",
+            "Motion search job %s: motion search complete, "
+            "found %d raw results, decoded %d frames, %d segment errors",
             self.job.id,
             len(all_results),
-            state["total_frames"],
+            total_frames,
             self.metrics.segments_with_errors,
         )
 
-        all_results.sort(key=lambda r: r.timestamp)
+        # Sort and deduplicate results
+        all_results.sort(key=lambda x: x.timestamp)
+        return self._deduplicate_results(all_results)[: self.job.max_results]
+
+    def _search_motion_sequential(
+        self,
+        recordings: list[Recordings],
+        polygon_mask: np.ndarray,
+    ) -> list[MotionSearchResult]:
+        """Search for motion sequentially across segments, streaming results."""
+        all_results: list[MotionSearchResult] = []
+        total_frames = 0
+
+        logger.debug(
+            "Motion search job %s: starting sequential motion search across %d segments",
+            self.job.id,
+            len(recordings),
+        )
+
+        self.job.results = {"results": [], "total_frames_processed": 0}
+
+        for recording in recordings:
+            if self.cancel_event.is_set():
+                break
+
+            try:
+                rec_start: float = recording.start_time  # type: ignore[assignment]
+                rec_end: float = recording.end_time  # type: ignore[assignment]
+                results, frames = self._process_recording_for_motion(
+                    str(recording.path),
+                    rec_start,
+                    rec_end,
+                    self.job.start_time_range,
+                    self.job.end_time_range,
+                    polygon_mask,
+                    self.job.threshold,
+                    self.job.min_area,
+                    self.job.frame_skip,
+                )
+                all_results.extend(results)
+                total_frames += frames
+
+                self.job.total_frames_processed = total_frames
+                self.metrics.frames_decoded = total_frames
+                self.metrics.segments_processed += 1
+
+                if results:
+                    all_results.sort(key=lambda x: x.timestamp)
+                    deduped = self._deduplicate_results(all_results)[
+                        : self.job.max_results
+                    ]
+                    self.job.results = {
+                        "results": [r.to_dict() for r in deduped],
+                        "total_frames_processed": total_frames,
+                    }
+
+                self._broadcast_status()
+
+                if results and len(deduped) >= self.job.max_results:
+                    break
+
+            except Exception as e:
+                self.metrics.segments_processed += 1
+                self.metrics.segments_with_errors += 1
+                self._broadcast_status()
+                logger.warning("Error processing segment %s: %s", recording.path, e)
+
+        self.job.total_frames_processed = total_frames
+        self.metrics.frames_decoded = total_frames
+
+        logger.debug(
+            "Motion search job %s: sequential motion search complete, "
+            "found %d raw results, decoded %d frames, %d segment errors",
+            self.job.id,
+            len(all_results),
+            total_frames,
+            self.metrics.segments_with_errors,
+        )
+
+        all_results.sort(key=lambda x: x.timestamp)
         return self._deduplicate_results(all_results)[: self.job.max_results]
 
     def _deduplicate_results(
@@ -843,6 +602,160 @@ class MotionSearchRunner(threading.Thread):
 
         return deduplicated
 
+    def _process_recording_for_motion(
+        self,
+        recording_path: str,
+        recording_start: float,
+        recording_end: float,
+        search_start: float,
+        search_end: float,
+        polygon_mask: np.ndarray,
+        threshold: int,
+        min_area: float,
+        frame_skip: int,
+    ) -> tuple[list[MotionSearchResult], int]:
+        """Process a single recording file for motion detection.
+
+        This method is designed to be called from a thread pool.
+
+        Args:
+            min_area: Minimum change area as a percentage of the ROI (0-100).
+        """
+        results: list[MotionSearchResult] = []
+        frames_processed = 0
+
+        if not os.path.exists(recording_path):
+            logger.warning("Recording file not found: %s", recording_path)
+            return results, frames_processed
+
+        cap = cv2.VideoCapture(recording_path)
+        if not cap.isOpened():
+            logger.error("Could not open recording: %s", recording_path)
+            return results, frames_processed
+
+        try:
+            fps = cap.get(cv2.CAP_PROP_FPS) or 30.0
+            total_frames = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
+            recording_duration = recording_end - recording_start
+
+            # Calculate frame range
+            start_offset = max(0, search_start - recording_start)
+            end_offset = min(recording_duration, search_end - recording_start)
+            start_frame = int(start_offset * fps)
+            end_frame = int(end_offset * fps)
+            start_frame = max(0, min(start_frame, total_frames - 1))
+            end_frame = max(0, min(end_frame, total_frames))
+
+            if start_frame >= end_frame:
+                return results, frames_processed
+
+            cap.set(cv2.CAP_PROP_POS_FRAMES, start_frame)
+
+            # Get ROI bounding box
+            roi_bbox = cv2.boundingRect(polygon_mask)
+            roi_x, roi_y, roi_w, roi_h = roi_bbox
+
+            prev_frame_gray = None
+            frame_step = max(frame_skip, 1)
+            frame_idx = start_frame
+
+            while frame_idx < end_frame:
+                if self._should_stop():
+                    break
+
+                ret, frame = cap.read()
+                if not ret:
+                    frame_idx += 1
+                    continue
+
+                if (frame_idx - start_frame) % frame_step != 0:
+                    frame_idx += 1
+                    continue
+
+                frames_processed += 1
+
+                gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
+
+                # Handle frame dimension changes
+                if gray.shape != polygon_mask.shape:
+                    resized_mask = cv2.resize(
+                        polygon_mask,
+                        (gray.shape[1], gray.shape[0]),
+                        interpolation=cv2.INTER_NEAREST,
+                    )
+                    current_bbox = cv2.boundingRect(resized_mask)
+                else:
+                    resized_mask = polygon_mask
+                    current_bbox = roi_bbox
+
+                roi_x, roi_y, roi_w, roi_h = current_bbox
+                cropped_gray = gray[roi_y : roi_y + roi_h, roi_x : roi_x + roi_w]
+                cropped_mask = resized_mask[
+                    roi_y : roi_y + roi_h, roi_x : roi_x + roi_w
+                ]
+
+                cropped_mask_area = np.count_nonzero(cropped_mask)
+                if cropped_mask_area == 0:
+                    frame_idx += 1
+                    continue
+
+                # Convert percentage to pixel count for this ROI
+                min_area_pixels = int((min_area / 100.0) * cropped_mask_area)
+
+                masked_gray = cv2.bitwise_and(
+                    cropped_gray, cropped_gray, mask=cropped_mask
+                )
+
+                if prev_frame_gray is not None:
+                    diff = cv2.absdiff(prev_frame_gray, masked_gray)  # type: ignore[unreachable]
+                    diff_blurred = cv2.GaussianBlur(diff, (3, 3), 0)
+                    _, thresh = cv2.threshold(
+                        diff_blurred, threshold, 255, cv2.THRESH_BINARY
+                    )
+                    thresh_dilated = cv2.dilate(thresh, None, iterations=1)
+                    thresh_masked = cv2.bitwise_and(
+                        thresh_dilated, thresh_dilated, mask=cropped_mask
+                    )
+
+                    change_pixels = cv2.countNonZero(thresh_masked)
+                    if change_pixels > min_area_pixels:
+                        contours, _ = cv2.findContours(
+                            thresh_masked, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE
+                        )
+                        total_change_area = sum(
+                            cv2.contourArea(c)
+                            for c in contours
+                            if cv2.contourArea(c) >= min_area_pixels
+                        )
+                        if total_change_area > 0:
+                            frame_time_offset = (frame_idx - start_frame) / fps
+                            timestamp = (
+                                recording_start + start_offset + frame_time_offset
+                            )
+                            change_percentage = (
+                                total_change_area / cropped_mask_area
+                            ) * 100
+                            results.append(
+                                MotionSearchResult(
+                                    timestamp=timestamp,
+                                    change_percentage=round(change_percentage, 2),
+                                )
+                            )
+
+                prev_frame_gray = masked_gray
+                frame_idx += 1
+
+        finally:
+            cap.release()
+
+        logger.debug(
+            "Motion search segment complete: %s, %d frames processed, %d results found",
+            recording_path,
+            frames_processed,
+            len(results),
+        )
+        return results, frames_processed
+
 
 # Module-level state for managing per-camera jobs
 _motion_search_jobs: dict[str, tuple[MotionSearchJob, threading.Event]] = {}
@@ -866,6 +779,7 @@ def start_motion_search_job(
     polygon_points: list[list[float]],
     threshold: int = 30,
     min_area: float = 5.0,
+    frame_skip: int = 5,
     parallel: bool = False,
     max_results: int = 25,
 ) -> str:
@@ -880,6 +794,7 @@ def start_motion_search_job(
         polygon_points=polygon_points,
         threshold=threshold,
         min_area=min_area,
+        frame_skip=frame_skip,
         parallel=parallel,
         max_results=max_results,
     )
@@ -897,13 +812,14 @@ def start_motion_search_job(
     logger.debug(
         "Started motion search job %s for camera %s: "
         "time_range=%.1f-%.1f, threshold=%d, min_area=%.1f%%, "
-        "parallel=%s, max_results=%d, polygon_points=%d vertices",
+        "frame_skip=%d, parallel=%s, max_results=%d, polygon_points=%d vertices",
         job.id,
         camera_name,
         start_time,
         end_time,
         threshold,
         min_area,
+        frame_skip,
         parallel,
         max_results,
         len(polygon_points),

frigate/jobs/motion_search_batch.py

@@ -1,75 +0,0 @@
-"""Pure helpers for VOD-batched motion search.
-
-Coalescing gate-passing segments into time-contiguous runs, mapping a frame's
-VOD stream time back to an absolute timestamp, and thinning sample times to a
-target interval. No I/O or ffmpeg here so the tricky math stays unit-testable.
-"""
-
-from bisect import bisect_right
-from typing import Any
-
-
-def coalesce_runs(
-    segments: list[Any], max_seconds: float, epsilon: float
-) -> list[list[Any]]:
-    """Group gate-passing segments into time-contiguous runs.
-
-    A run extends while each segment's ``start_time`` is within ``epsilon`` of
-    the previous segment's ``end_time`` (no recording gap) and the run's total
-    span stays at or below ``max_seconds``. A gap or the cap starts a new run.
-    Each segment must expose ``start_time`` / ``end_time``.
-    """
-    runs: list[list[Any]] = []
-    current: list[Any] = []
-    for seg in segments:
-        if not current:
-            current = [seg]
-            continue
-        prev_end = float(current[-1].end_time)
-        run_start = float(current[0].start_time)
-        contiguous = abs(float(seg.start_time) - prev_end) <= epsilon
-        within_cap = (float(seg.end_time) - run_start) <= max_seconds
-        if contiguous and within_cap:
-            current.append(seg)
-        else:
-            runs.append(current)
-            current = [seg]
-    if current:
-        runs.append(current)
-    return runs
-
-
-def build_segment_time_map(
-    run: list[Any],
-) -> list[tuple[float, float, float]]:
-    """Build a (stream_offset, abs_start, duration) row per segment in a run.
-
-    ``stream_offset`` is the segment's start in continuous VOD stream time (the
-    cumulative sum of preceding segment durations); ``abs_start`` is its absolute
-    ``start_time``. Built from each segment's own duration; for a gap-free run
-    this makes stream time equal ``run_start + offset``.
-    """
-    rows: list[tuple[float, float, float]] = []
-    offset = 0.0
-    for seg in run:
-        duration = float(seg.end_time) - float(seg.start_time)
-        rows.append((offset, float(seg.start_time), duration))
-        offset += duration
-    return rows
-
-
-def stream_time_to_absolute(
-    time_map: list[tuple[float, float, float]], stream_time: float
-) -> float:
-    """Map a VOD stream time to an absolute timestamp via the run's table.
-
-    Binary-searches the segment whose stream range contains ``stream_time`` and
-    returns ``abs_start + (stream_time - stream_offset)``. Times past the last
-    segment map into the last segment (clamped at the run edge).
-    """
-    offsets = [row[0] for row in time_map]
-    idx = bisect_right(offsets, stream_time) - 1
-    if idx < 0:
-        idx = 0
-    stream_offset, abs_start, _duration = time_map[idx]
-    return abs_start + (stream_time - stream_offset)

frigate/jobs/motion_search_decode.py

@@ -1,382 +0,0 @@
-"""Hardware-accelerated ffmpeg decode for motion search.
-
-Decodes a recording run's VOD/HLS stream with an ffmpeg subprocess, optionally
-selecting only keyframes, and streams raw frames over a pipe for the motion
-math. Output is the requested ``pix_fmt`` (gray or ``bgr24``) with optional
-crop/scale applied in the filter graph so downstream pixels are unchanged.
-"""
-
-import json
-import logging
-import subprocess as sp
-import tempfile
-from collections.abc import Callable, Generator
-from typing import IO
-
-import numpy as np
-
-from frigate.config import CameraConfig
-from frigate.ffmpeg_presets import parse_preset_hardware_acceleration_decode
-from frigate.util.services import auto_detect_hwaccel
-
-logger = logging.getLogger(__name__)
-
-# Output-format surfaces that download cleanly to nv12 via the fixed
-# ``hwdownload,format=nv12`` step the decode path appends. Other surfaces
-# (drm_prime from rkmpp, vulkan, amf) need a different download step, so motion
-# search decodes them in software to keep results byte-identical rather than risk
-# a wrong-but-valid-sized frame the zero-frame fallback gate would not catch.
-_NV12_OUTPUT_FORMATS = frozenset({"vaapi", "cuda", "qsv"})
-
-
-def _hwaccel_output_format(decode_args: list[str]) -> str | None:
-    """Return the ``-hwaccel_output_format`` value in ffmpeg args, or None."""
-    try:
-        idx = decode_args.index("-hwaccel_output_format")
-    except ValueError:
-        return None
-    return decode_args[idx + 1] if idx + 1 < len(decode_args) else None
-
-
-def resolve_motion_decode_args(camera_config: CameraConfig) -> list[str]:
-    """Resolve the ffmpeg hwaccel decode args for a camera's recordings.
-
-    ``auto`` is resolved via ``auto_detect_hwaccel`` and the preset is expanded
-    by ``parse_preset_hardware_acceleration_decode`` (the same table the live
-    pipeline uses). Acceleration is kept only when the decoded surface downloads
-    cleanly to nv12 -- decided by reading ``-hwaccel_output_format`` back from the
-    resolved args rather than a separate preset allowlist that could drift from
-    ``PRESETS_HW_ACCEL_DECODE``. Anything else (custom args, a software-only
-    preset, or an nv12-incompatible surface) returns an empty list, meaning
-    software decode, so results stay byte-identical.
-    """
-    raw = camera_config.ffmpeg.hwaccel_args
-    preset = auto_detect_hwaccel() if raw == "auto" else raw
-
-    # Custom args (a list) decode in software so results stay byte-identical.
-    if not isinstance(preset, str):
-        return []
-
-    decode_args = parse_preset_hardware_acceleration_decode(
-        preset,
-        camera_config.detect.fps,
-        camera_config.detect.width or 0,
-        camera_config.detect.height or 0,
-        camera_config.ffmpeg.gpu,
-    )
-    if not decode_args:
-        return []
-
-    if _hwaccel_output_format(decode_args) not in _NV12_OUTPUT_FORMATS:
-        return []
-
-    return decode_args
-
-
-def _read_exact(stream: IO[bytes], size: int) -> bytes | None:
-    """Read exactly ``size`` bytes from a pipe, or None at clean EOF.
-
-    Pipe reads can return fewer bytes than requested, so loop until the frame
-    is complete. A short read at the start of a frame means end-of-stream.
-    """
-    buf = bytearray()
-    while len(buf) < size:
-        chunk = stream.read(size - len(buf))
-        if not chunk:
-            return None
-        buf.extend(chunk)
-    return bytes(buf)
-
-
-def _terminate(proc: sp.Popen[bytes]) -> None:
-    """Stop an ffmpeg decode process promptly."""
-    # Close the read end first so a blocked ffmpeg write unblocks (ffmpeg then
-    # sees a broken pipe), then signal it. The resulting ffmpeg write error is
-    # harmless and goes to the captured stderr.
-    if proc.stdout is not None:
-        try:
-            proc.stdout.close()
-        except OSError:
-            pass
-    if proc.poll() is None:
-        proc.terminate()
-        try:
-            proc.wait(timeout=5)
-        except sp.TimeoutExpired:
-            proc.kill()
-            proc.wait()
-
-
-KEYFRAME_MAX_GAP_SECONDS = 2.0
-
-
-def keyframe_sampling_eligible(
-    keyframe_pts: list[float], max_gap: float = KEYFRAME_MAX_GAP_SECONDS
-) -> bool:
-    """True if keyframes are dense and regular enough for keyframe-only sampling.
-
-    Requires at least two keyframes and no gap longer than ``max_gap`` seconds, so
-    a multi-second motion event necessarily spans a sampled keyframe.
-    """
-    if len(keyframe_pts) < 2:
-        return False
-    gaps = [b - a for a, b in zip(keyframe_pts, keyframe_pts[1:])]
-    return max(gaps) <= max_gap
-
-
-VOD_PROTOCOL_ARGS = ["-protocol_whitelist", "pipe,file,http,tcp"]
-
-
-def build_vod_decode_command(
-    ffmpeg_path: str,
-    vod_url: str,
-    decode_args: list[str],
-    crop: tuple[int, int, int, int] | None,
-    scale: tuple[int, int] | None,
-    gray: bool,
-    *,
-    skip_nonkey: bool,
-    fps_rate: float | None,
-) -> list[str]:
-    """Build the ffmpeg argv to decode a VOD HLS URL.
-
-    ``skip_nonkey`` adds ``-skip_frame nokey`` (keyframe-only). ``fps_rate`` adds
-    an ``fps`` filter for the fixed-cadence fallback. They are mutually
-    exclusive: keyframe mode passes ``skip_nonkey=True``/``fps_rate=None``; the
-    fallback passes ``skip_nonkey=False`` with a rate.
-    """
-    filters: list[str] = []
-    # With hwaccel the decoded frames are GPU surfaces; pull them back to system
-    # memory before the CPU fps/crop/scale filters and the rawvideo encoder.
-    if decode_args:
-        filters.append("hwdownload")
-        filters.append("format=nv12")
-    if fps_rate is not None:
-        filters.append(f"fps={fps_rate}")
-    if crop is not None:
-        cw, ch, cx, cy = crop
-        filters.append(f"crop={cw}:{ch}:{cx}:{cy}")
-    if scale is not None:
-        sw, sh = scale
-        filters.append(f"scale={sw}:{sh}")
-
-    pix_fmt = "gray" if gray else "bgr24"
-    cmd = [ffmpeg_path, "-hide_banner", "-loglevel", "error"]
-    if skip_nonkey:
-        cmd += ["-skip_frame", "nokey"]
-    cmd += [*decode_args, *VOD_PROTOCOL_ARGS, "-i", vod_url, "-an"]
-    if filters:
-        cmd += ["-vf", ",".join(filters)]
-    cmd += ["-vsync", "0", "-f", "rawvideo", "-pix_fmt", pix_fmt, "pipe:"]
-    return cmd
-
-
-def _run_vod_decode(
-    ffmpeg_path: str,
-    vod_url: str,
-    out_width: int,
-    out_height: int,
-    channels: int,
-    decode_args: list[str],
-    crop: tuple[int, int, int, int] | None,
-    scale: tuple[int, int] | None,
-    gray: bool,
-    should_stop: Callable[[], bool],
-    *,
-    skip_nonkey: bool,
-    fps_rate: float | None,
-    software_retry: bool,
-) -> Generator[np.ndarray, None, None]:
-    """Run one VOD decode, yielding raw frames; retry in software if empty."""
-    cmd = build_vod_decode_command(
-        ffmpeg_path,
-        vod_url,
-        decode_args,
-        crop,
-        scale,
-        gray,
-        skip_nonkey=skip_nonkey,
-        fps_rate=fps_rate,
-    )
-    frame_size = out_width * out_height * channels
-    stderr_file = tempfile.SpooledTemporaryFile(max_size=65536)
-    proc = sp.Popen(cmd, stdout=sp.PIPE, stderr=stderr_file)
-    assert proc.stdout is not None
-
-    count = 0
-    try:
-        while True:
-            if should_stop():
-                break
-            buf = _read_exact(proc.stdout, frame_size)
-            if buf is None:
-                break
-            if channels == 1:
-                frame = np.frombuffer(buf, dtype=np.uint8).reshape(
-                    (out_height, out_width)
-                )
-            else:
-                frame = np.frombuffer(buf, dtype=np.uint8).reshape(
-                    (out_height, out_width, channels)
-                )
-            count += 1
-            yield frame
-    finally:
-        _terminate(proc)
-        stderr_file.close()
-
-    if count == 0 and software_retry and not should_stop():
-        logger.warning("Hardware VOD decode produced no frames, retrying in software")
-        yield from _run_vod_decode(
-            ffmpeg_path,
-            vod_url,
-            out_width,
-            out_height,
-            channels,
-            [],
-            crop,
-            scale,
-            gray,
-            should_stop,
-            skip_nonkey=skip_nonkey,
-            fps_rate=fps_rate,
-            software_retry=False,
-        )
-
-
-def iter_vod_frames(
-    ffmpeg_path: str,
-    vod_url: str,
-    out_width: int,
-    out_height: int,
-    channels: int,
-    decode_args: list[str],
-    crop: tuple[int, int, int, int] | None,
-    scale: tuple[int, int] | None,
-    gray: bool,
-    should_stop: Callable[[], bool],
-    *,
-    skip_nonkey: bool,
-    fps_rate: float | None,
-) -> Generator[np.ndarray, None, None]:
-    """Decode a VOD HLS URL and yield raw frames in order.
-
-    Pair keyframe-mode output with probed keyframe PTS; pair fallback output with
-    a fixed cadence. Falls back once to software decode if a hwaccel decode yields
-    no frames.
-    """
-    yield from _run_vod_decode(
-        ffmpeg_path,
-        vod_url,
-        out_width,
-        out_height,
-        channels,
-        decode_args,
-        crop,
-        scale,
-        gray,
-        should_stop,
-        skip_nonkey=skip_nonkey,
-        fps_rate=fps_rate,
-        software_retry=bool(decode_args),
-    )
-
-
-def probe_vod_keyframe_pts(ffprobe_path: str, vod_url: str) -> list[float]:
-    """Return keyframe presentation timestamps (VOD stream time) in order.
-
-    Reads packet flags via ffprobe over the VOD URL (no decode). Returns [] on
-    any failure so the caller can fall back.
-    """
-    cmd = [
-        ffprobe_path,
-        "-v",
-        "error",
-        *VOD_PROTOCOL_ARGS,
-        "-i",
-        vod_url,
-        "-select_streams",
-        "v:0",
-        "-show_packets",
-        "-show_entries",
-        "packet=pts_time,flags",
-        "-of",
-        "json",
-    ]
-    try:
-        completed = sp.run(cmd, capture_output=True, text=True, timeout=120)
-    except (OSError, sp.SubprocessError):
-        logger.warning("ffprobe failed for VOD keyframe probe")
-        return []
-
-    if completed.returncode != 0 or not completed.stdout:
-        return []
-
-    try:
-        packets = json.loads(completed.stdout).get("packets", [])
-    except json.JSONDecodeError:
-        return []
-
-    pts: list[float] = []
-    for pkt in packets:
-        flags = pkt.get("flags", "")
-        pts_time = pkt.get("pts_time")
-        if flags.startswith("K") and pts_time is not None:
-            try:
-                pts.append(float(pts_time))
-            except ValueError:
-                continue
-    return sorted(pts)
-
-
-def probe_video_dimensions(
-    ffprobe_path: str, recording_path: str
-) -> tuple[int, int, float] | None:
-    """Return (width, height, fps) for a recording's video stream, or None.
-
-    Reads stream metadata via ffprobe (no decode). The record stream resolution
-    can differ from the camera's detect resolution, so this is probed once per
-    job against a real segment.
-    """
-    cmd = [
-        ffprobe_path,
-        "-v",
-        "error",
-        "-select_streams",
-        "v:0",
-        "-show_entries",
-        "stream=width,height,avg_frame_rate",
-        "-of",
-        "json",
-        recording_path,
-    ]
-    try:
-        completed = sp.run(cmd, capture_output=True, text=True, timeout=30)
-    except (OSError, sp.SubprocessError):
-        return None
-
-    if completed.returncode != 0 or not completed.stdout:
-        return None
-
-    try:
-        streams = json.loads(completed.stdout).get("streams", [])
-    except json.JSONDecodeError:
-        return None
-
-    if not streams:
-        return None
-
-    stream = streams[0]
-    width = int(stream.get("width", 0) or 0)
-    height = int(stream.get("height", 0) or 0)
-    rate = stream.get("avg_frame_rate", "0/0") or "0/0"
-    try:
-        num, _, den = rate.partition("/")
-        fps = float(num) / float(den) if float(den) != 0 else 0.0
-    except (ValueError, ZeroDivisionError):
-        fps = 0.0
-
-    if width <= 0 or height <= 0:
-        return None
-
-    return width, height, fps

frigate/record/export.py

@@ -456,7 +456,7 @@ class RecordingExporter(threading.Thread):
 
             diff = max(0.0, float(self.start_time) - float(preview.start_time))
             ffmpeg_cmd = [
-                "/usr/lib/ffmpeg/8.0/bin/ffmpeg",  # hardcode path for exports thumbnail due to missing libwebp support
+                "/usr/lib/ffmpeg/7.0/bin/ffmpeg",  # hardcode path for exports thumbnail due to missing libwebp support
                 "-hide_banner",
                 "-loglevel",
                 "warning",

frigate/test/http_api/test_http_media.py

@@ -403,75 +403,3 @@ class TestHttpMedia(BaseTestHttp):
             assert len(summary) == 1
             assert "2024-03-10" in summary
             assert summary["2024-03-10"] is True
-
-    def test_recordings_unavailable_reports_gap_between_recordings(self):
-        """A gap between two recordings is reported as an unavailable segment."""
-        with AuthTestClient(self.app) as client:
-            # Two recordings with a 20s gap (1010-1030) between them.
-            Recordings.insert(
-                id="rec_a",
-                path="/media/recordings/a.mp4",
-                camera="front_door",
-                start_time=1000,
-                end_time=1010,
-                duration=10,
-                motion=0,
-            ).execute()
-            Recordings.insert(
-                id="rec_b",
-                path="/media/recordings/b.mp4",
-                camera="front_door",
-                start_time=1030,
-                end_time=1040,
-                duration=10,
-                motion=0,
-            ).execute()
-
-            response = client.get(
-                "/recordings/unavailable",
-                params={
-                    "after": 1000,
-                    "before": 1040,
-                    "scale": 5,
-                    "cameras": "front_door",
-                },
-            )
-
-            assert response.status_code == 200
-            assert response.json() == [{"start_time": 1010, "end_time": 1030}]
-
-    def test_recordings_unavailable_merges_overlapping_recordings(self):
-        """Overlapping recordings are merged so no false gap is reported."""
-        with AuthTestClient(self.app) as client:
-            # Overlapping recordings spanning the whole requested range.
-            Recordings.insert(
-                id="rec_a",
-                path="/media/recordings/a.mp4",
-                camera="front_door",
-                start_time=1000,
-                end_time=1020,
-                duration=20,
-                motion=0,
-            ).execute()
-            Recordings.insert(
-                id="rec_b",
-                path="/media/recordings/b.mp4",
-                camera="front_door",
-                start_time=1010,
-                end_time=1030,
-                duration=20,
-                motion=0,
-            ).execute()
-
-            response = client.get(
-                "/recordings/unavailable",
-                params={
-                    "after": 1000,
-                    "before": 1030,
-                    "scale": 5,
-                    "cameras": "front_door",
-                },
-            )
-
-            assert response.status_code == 200
-            assert response.json() == []

frigate/test/http_api/test_http_review.py

@@ -610,16 +610,19 @@ class TestHttpReview(BaseTestHttp):
             response = client.get("/review/activity/motion", params=params)
             assert response.status_code == 200
             response_json = response.json()
-            # Only buckets with an actual recording are returned. Empty
-            # gap-fill buckets between the two recordings are dropped.
-            assert len(response_json) == 2
+            assert len(response_json) == 61
             self.assertDictEqual(
                 {"motion": 50.5, "camera": "front_door", "start_time": now + 1},
                 response_json[0],
             )
+            for item in response_json[1:-1]:
+                self.assertDictEqual(
+                    {"motion": 0.0, "camera": "", "start_time": item["start_time"]},
+                    item,
+                )
             self.assertDictEqual(
                 {"motion": 100.0, "camera": "front_door", "start_time": one_m + 1},
-                response_json[1],
+                response_json[len(response_json) - 1],
             )
 
     ####################################################################################################################

frigate/test/test_motion_search_batch.py

@@ -1,58 +0,0 @@
-"""Tests for motion search batch helpers (runs + timestamp mapping)."""
-
-import unittest
-from dataclasses import dataclass
-
-from frigate.jobs.motion_search_batch import (
-    build_segment_time_map,
-    coalesce_runs,
-    stream_time_to_absolute,
-)
-
-
-@dataclass
-class _Seg:
-    path: str
-    start_time: float
-    end_time: float
-
-
-def _run_seconds(run):
-    return float(run[-1].end_time) - float(run[0].start_time)
-
-
-class TestCoalesceRuns(unittest.TestCase):
-    def test_contiguous_segments_form_one_run(self):
-        segs = [_Seg("a", 0.0, 10.0), _Seg("b", 10.0, 20.0), _Seg("c", 20.0, 30.0)]
-        runs = coalesce_runs(segs, max_seconds=600.0, epsilon=0.5)
-        self.assertEqual(len(runs), 1)
-        self.assertEqual(len(runs[0]), 3)
-
-    def test_time_gap_splits_runs(self):
-        # b ends 20, c starts 25 -> 5s gap > epsilon -> two runs.
-        segs = [_Seg("a", 0.0, 10.0), _Seg("b", 10.0, 20.0), _Seg("c", 25.0, 35.0)]
-        runs = coalesce_runs(segs, max_seconds=600.0, epsilon=0.5)
-        self.assertEqual([len(r) for r in runs], [2, 1])
-
-    def test_max_duration_caps_a_run(self):
-        # Five contiguous 10s segments, cap 25s.
-        segs = [_Seg(str(i), i * 10.0, i * 10.0 + 10.0) for i in range(5)]
-        runs = coalesce_runs(segs, max_seconds=25.0, epsilon=0.5)
-        self.assertTrue(all(_run_seconds(r) <= 30.0 for r in runs))
-        self.assertEqual(sum(len(r) for r in runs), 5)
-
-    def test_empty(self):
-        self.assertEqual(coalesce_runs([], max_seconds=600.0, epsilon=0.5), [])
-
-
-class TestTimestampMapping(unittest.TestCase):
-    def test_gapfree_run_maps_to_start_plus_pts(self):
-        run = [_Seg("a", 1000.0, 1010.0), _Seg("b", 1010.0, 1020.0)]
-        time_map = build_segment_time_map(run)
-        self.assertAlmostEqual(stream_time_to_absolute(time_map, 3.0), 1003.0)
-        self.assertAlmostEqual(stream_time_to_absolute(time_map, 12.0), 1012.0)
-
-    def test_past_end_clamps(self):
-        run = [_Seg("a", 1000.0, 1010.0)]
-        time_map = build_segment_time_map(run)
-        self.assertAlmostEqual(stream_time_to_absolute(time_map, 9.9), 1009.9)

frigate/test/test_motion_search_decode.py

@@ -1,190 +0,0 @@
-"""Tests for the motion search hardware-accelerated decode helpers."""
-
-import unittest
-from types import SimpleNamespace
-from unittest import mock
-
-from frigate.jobs.motion_search_decode import (
-    KEYFRAME_MAX_GAP_SECONDS,
-    build_vod_decode_command,
-    keyframe_sampling_eligible,
-    probe_video_dimensions,
-    probe_vod_keyframe_pts,
-    resolve_motion_decode_args,
-)
-
-
-def _fake_camera_config(
-    hwaccel_args, gpu=0, fps=5, width=1280, height=720, ffmpeg_path="ffmpeg"
-):
-    return SimpleNamespace(
-        ffmpeg=SimpleNamespace(
-            hwaccel_args=hwaccel_args, gpu=gpu, ffmpeg_path=ffmpeg_path
-        ),
-        detect=SimpleNamespace(fps=fps, width=width, height=height),
-    )
-
-
-class TestResolveMotionDecodeArgs(unittest.TestCase):
-    def test_vaapi_preset_is_accelerated(self):
-        args = resolve_motion_decode_args(_fake_camera_config("preset-vaapi"))
-        self.assertIn("-hwaccel", args)
-        self.assertIn("vaapi", args)
-
-    def test_non_nv12_preset_falls_back_to_software(self):
-        # rkmpp produces drm_prime surfaces that do not download to nv12, so it
-        # must resolve to software decode (empty args) rather than risk corrupt
-        # frames.
-        self.assertEqual(
-            resolve_motion_decode_args(_fake_camera_config("preset-rkmpp")), []
-        )
-
-    def test_custom_args_fall_back_to_software(self):
-        # Arbitrary custom hwaccel args (a list, not a preset) decode in software
-        # to preserve byte-identical results.
-        self.assertEqual(
-            resolve_motion_decode_args(_fake_camera_config(["-hwaccel", "vulkan"])),
-            [],
-        )
-
-    def test_nvidia_codec_preset_is_accelerated(self):
-        # Codec-specific nvidia presets resolve to the same cuda decode args as
-        # the bare preset, so eligibility is derived from -hwaccel_output_format
-        # rather than a hardcoded list that omitted these aliases.
-        args = resolve_motion_decode_args(_fake_camera_config("preset-nvidia-h264"))
-        self.assertIn("-hwaccel_output_format", args)
-        self.assertIn("cuda", args)
-
-    def test_software_only_preset_falls_back_to_software(self):
-        # A preset with no -hwaccel_output_format (decoder-based, no GPU surface)
-        # cannot use the nv12 download step, so it decodes in software.
-        self.assertEqual(
-            resolve_motion_decode_args(_fake_camera_config("preset-rpi-64-h264")), []
-        )
-
-
-class TestKeyframeEligibility(unittest.TestCase):
-    def test_regular_short_gop_is_eligible(self):
-        pts = [0.0, 0.5, 1.0, 1.5, 2.0]  # 0.5s gaps
-        self.assertTrue(keyframe_sampling_eligible(pts))
-
-    def test_long_gop_is_ineligible(self):
-        pts = [0.0, 5.0, 10.0]  # 5s gaps
-        self.assertFalse(keyframe_sampling_eligible(pts))
-
-    def test_irregular_gop_ineligible_when_a_gap_is_long(self):
-        pts = [0.0, 0.5, 1.0, 8.0]  # one 7s gap
-        self.assertFalse(keyframe_sampling_eligible(pts))
-
-    def test_too_few_keyframes_ineligible(self):
-        self.assertFalse(keyframe_sampling_eligible([1.0]))
-        self.assertFalse(keyframe_sampling_eligible([]))
-
-    def test_default_max_gap_constant(self):
-        self.assertEqual(KEYFRAME_MAX_GAP_SECONDS, 2.0)
-
-
-class TestVodDecodeCommand(unittest.TestCase):
-    URL = "http://127.0.0.1:5000/vod/cam/start/1/end/2/index.m3u8"
-
-    def test_keyframe_command_shape(self):
-        cmd = build_vod_decode_command(
-            "ffmpeg",
-            self.URL,
-            decode_args=[],
-            crop=(100, 80, 10, 20),
-            scale=(50, 40),
-            gray=True,
-            skip_nonkey=True,
-            fps_rate=None,
-        )
-        joined = " ".join(cmd)
-        self.assertIn("-skip_frame nokey", joined)
-        self.assertIn("-protocol_whitelist pipe,file,http,tcp", joined)
-        self.assertIn(f"-i {self.URL}", joined)
-        self.assertIn("crop=100:80:10:20", joined)
-        self.assertIn("scale=50:40", joined)
-        self.assertIn("-pix_fmt gray", joined)
-        self.assertNotIn("fps=", joined)
-
-    def test_fps_command_uses_fps_filter_not_skip_frame(self):
-        cmd = build_vod_decode_command(
-            "ffmpeg",
-            self.URL,
-            decode_args=[],
-            crop=None,
-            scale=None,
-            gray=False,
-            skip_nonkey=False,
-            fps_rate=2.0,
-        )
-        joined = " ".join(cmd)
-        self.assertNotIn("skip_frame", joined)
-        self.assertIn("fps=2.0", joined)
-        self.assertIn("-pix_fmt bgr24", joined)
-
-    def test_hwaccel_inserts_hwdownload(self):
-        cmd = build_vod_decode_command(
-            "ffmpeg",
-            self.URL,
-            decode_args=["-hwaccel", "vaapi"],
-            crop=None,
-            scale=None,
-            gray=True,
-            skip_nonkey=True,
-            fps_rate=None,
-        )
-        joined = " ".join(cmd)
-        self.assertIn("hwdownload", joined)
-        self.assertIn("format=nv12", joined)
-
-
-class TestProbeVodKeyframePts(unittest.TestCase):
-    def test_parses_keyframe_packets(self):
-        sample = (
-            '{"packets":['
-            '{"pts_time":"0.000000","flags":"K__"},'
-            '{"pts_time":"1.000000","flags":"___"},'
-            '{"pts_time":"2.000000","flags":"K__"}]}'
-        )
-        completed = mock.Mock(stdout=sample, returncode=0)
-        with mock.patch(
-            "frigate.jobs.motion_search_decode.sp.run", return_value=completed
-        ):
-            pts = probe_vod_keyframe_pts("ffprobe", "http://x/index.m3u8")
-        self.assertEqual(pts, [0.0, 2.0])
-
-    def test_returns_empty_on_failure(self):
-        with mock.patch(
-            "frigate.jobs.motion_search_decode.sp.run",
-            side_effect=OSError("boom"),
-        ):
-            self.assertEqual(probe_vod_keyframe_pts("ffprobe", "http://x"), [])
-
-
-class TestProbeVideoDimensions(unittest.TestCase):
-    def test_parses_dimensions_and_fps(self):
-        sample = (
-            '{"streams":[{"width":1920,"height":1080,"avg_frame_rate":"30000/1001"}]}'
-        )
-        completed = mock.Mock(stdout=sample, returncode=0)
-        with mock.patch(
-            "frigate.jobs.motion_search_decode.sp.run", return_value=completed
-        ):
-            dims = probe_video_dimensions("ffprobe", "/tmp/a.mp4")
-        assert dims is not None
-        width, height, fps = dims
-        self.assertEqual((width, height), (1920, 1080))
-        self.assertAlmostEqual(fps, 29.97, places=2)
-
-    def test_returns_none_on_zero_dimensions(self):
-        sample = '{"streams":[{"width":0,"height":0,"avg_frame_rate":"0/0"}]}'
-        completed = mock.Mock(stdout=sample, returncode=0)
-        with mock.patch(
-            "frigate.jobs.motion_search_decode.sp.run", return_value=completed
-        ):
-            self.assertIsNone(probe_video_dimensions("ffprobe", "/tmp/a.mp4"))
-
-
-if __name__ == "__main__":
-    unittest.main()

frigate/test/test_motion_search_spatial.py

@@ -1,87 +0,0 @@
-"""Tests for motion search spatial (crop/scale/mask) helpers."""
-
-import unittest
-
-import numpy as np
-
-from frigate.jobs.motion_search import (
-    build_scaled_roi_mask,
-    compute_roi_crop_and_scale,
-    detect_motion_scaled,
-)
-
-
-class TestComputeRoiCropAndScale(unittest.TestCase):
-    def test_crop_box_in_record_pixels(self):
-        # ROI covering x [0.25, 0.75], y [0.5, 1.0] of a 1000x600 frame.
-        polygon = [[0.25, 0.5], [0.75, 0.5], [0.75, 1.0], [0.25, 1.0]]
-        crop, scaled = compute_roi_crop_and_scale(polygon, 1000, 600, scale_target=125)
-        cw, ch, cx, cy = crop
-        self.assertEqual((cx, cy), (250, 300))
-        self.assertEqual((cw, ch), (500, 300))
-        # longest side 500 -> factor 0.25 -> (125, 75), rounded down to even.
-        self.assertEqual(scaled, (124, 74))
-
-    def test_never_upscales(self):
-        polygon = [[0.0, 0.0], [0.1, 0.0], [0.1, 0.1], [0.0, 0.1]]
-        crop, scaled = compute_roi_crop_and_scale(polygon, 200, 200, scale_target=400)
-        cw, ch, _, _ = crop
-        # crop is 20x20; target 400 would upscale, so scaled == crop size.
-        self.assertEqual(scaled, (cw, ch))
-
-    def test_scaled_dims_are_at_least_one(self):
-        polygon = [[0.0, 0.0], [0.02, 0.0], [0.02, 0.02], [0.0, 0.02]]
-        crop, scaled = compute_roi_crop_and_scale(polygon, 50, 50, scale_target=1)
-        self.assertGreaterEqual(scaled[0], 1)
-        self.assertGreaterEqual(scaled[1], 1)
-
-    def test_all_dims_are_even_for_nv12(self):
-        # Odd-aligned ROI on an odd-ish frame must still yield even crop/scale so
-        # the nv12 hwdownload byte stream matches the expected frame size.
-        polygon = [[0.123, 0.321], [0.777, 0.321], [0.777, 0.901], [0.123, 0.901]]
-        crop, scaled = compute_roi_crop_and_scale(polygon, 1377, 911, scale_target=257)
-        for value in (*crop, *scaled):
-            self.assertEqual(value % 2, 0, f"{value} is not even")
-
-
-class TestBuildScaledRoiMask(unittest.TestCase):
-    def test_mask_matches_scaled_dims_and_has_coverage(self):
-        polygon = [[0.25, 0.5], [0.75, 0.5], [0.75, 1.0], [0.25, 1.0]]
-        crop, scaled = compute_roi_crop_and_scale(polygon, 1000, 600, scale_target=125)
-        mask = build_scaled_roi_mask(polygon, 1000, 600, crop, scaled)
-        self.assertEqual(mask.shape, (scaled[1], scaled[0]))
-        self.assertEqual(mask.dtype, np.uint8)
-        # A full rectangle ROI fills its whole crop -> mask is all 255.
-        self.assertGreater(np.count_nonzero(mask), 0)
-        self.assertEqual(np.count_nonzero(mask), mask.size)
-
-
-class TestDetectMotionScaled(unittest.TestCase):
-    def _ts(self, idx):
-        return float(idx)
-
-    def test_finds_change_between_frames(self):
-        mask = np.full((60, 80), 255, dtype=np.uint8)
-        f0 = np.zeros((60, 80), dtype=np.uint8)
-        f1 = np.zeros((60, 80), dtype=np.uint8)
-        f1[10:50, 20:60] = 255  # big bright block appears
-        frames = [(0, f0), (30, f1)]
-        results = detect_motion_scaled(
-            frames, mask, threshold=30, min_area=1.0, timestamp_fn=self._ts
-        )
-        self.assertEqual(len(results), 1)
-        self.assertEqual(results[0].timestamp, 30.0)
-        self.assertGreater(results[0].change_percentage, 0.0)
-
-    def test_no_change_yields_nothing(self):
-        mask = np.full((60, 80), 255, dtype=np.uint8)
-        f0 = np.zeros((60, 80), dtype=np.uint8)
-        f1 = np.zeros((60, 80), dtype=np.uint8)
-        results = detect_motion_scaled(
-            [(0, f0), (30, f1)], mask, threshold=30, min_area=1.0, timestamp_fn=self._ts
-        )
-        self.assertEqual(results, [])
-
-
-if __name__ == "__main__":
-    unittest.main()

frigate/test/test_profiles.py

@@ -1,6 +1,5 @@
 """Tests for the profiles system."""
 
-import copy
 import json
 import os
 import unittest
@@ -747,36 +746,6 @@ class TestProfileManager(unittest.TestCase):
         manager.activate_profile(None)
         dispatcher.clear_runtime_state.assert_called_once_with()
 
-    @patch.object(ProfileManager, "_persist_active_profile")
-    def test_profile_change_republishes_switch_states(self, mock_persist):
-        """Profile changes republish MQTT switch states so HA stays in sync.
-
-        Regression: activating/deactivating a profile updated the in-memory
-        config (and Frigate's behavior) but left the retained MQTT state
-        topics stale, so external integrations like Home Assistant kept
-        showing the pre-profile toggle position.
-        """
-        config_data = copy.deepcopy(self.config_data)
-        config_data["cameras"]["front"]["profiles"]["disarmed"]["review"] = {
-            "alerts": {"enabled": False},
-        }
-        config = FrigateConfig(**config_data)
-        dispatcher = MagicMock()
-        manager = ProfileManager(config, self.mock_updater, dispatcher)
-
-        # Activating disarmed turns alerts off -> MQTT state must follow
-        manager.activate_profile("disarmed")
-        dispatcher.publish.assert_any_call(
-            "front/review_alerts/state", "OFF", retain=True
-        )
-
-        # Deactivating restores the base (alerts on) -> MQTT state must follow
-        dispatcher.publish.reset_mock()
-        manager.activate_profile(None)
-        dispatcher.publish.assert_any_call(
-            "front/review_alerts/state", "ON", retain=True
-        )
-
     @patch.object(ProfileManager, "_persist_active_profile")
     def test_startup_replay_does_not_clear_runtime_state(self, mock_persist):
         """Startup callers pass clear_runtime_overrides=False to preserve state."""

frigate/util/classification.py

@@ -394,7 +394,7 @@ def collect_state_classification_examples(
 
     # Step 3: Extract keyframes from recordings with crops applied
     keyframes = _extract_keyframes(
-        "/usr/lib/ffmpeg/8.0/bin/ffmpeg", timestamps, temp_dir, cameras
+        "/usr/lib/ffmpeg/7.0/bin/ffmpeg", timestamps, temp_dir, cameras
     )
 
     # Step 4: Select 24 most visually distinct images (they're already cropped)
@@ -566,7 +566,7 @@ def _extract_keyframes(
         relative_time = timestamp - recording.start_time
 
         try:
-            config = FfmpegConfig(path="/usr/lib/ffmpeg/8.0")
+            config = FfmpegConfig(path="/usr/lib/ffmpeg/7.0")
             image_data = get_image_from_recording(
                 config,
                 recording.path,

frigate/util/config.py

@@ -8,13 +8,7 @@ from typing import Any, Optional, Union
 
 from ruamel.yaml import YAML
 
-from frigate.const import (
-    CONFIG_DIR,
-    DEFAULT_FFMPEG_VERSION,
-    EXPORT_DIR,
-    INCLUDED_FFMPEG_VERSIONS,
-    REDACTED_CREDENTIAL_SENTINEL,
-)
+from frigate.const import CONFIG_DIR, EXPORT_DIR, REDACTED_CREDENTIAL_SENTINEL
 from frigate.util.builtin import deep_merge
 from frigate.util.services import get_video_properties
 
@@ -24,26 +18,6 @@ CURRENT_CONFIG_VERSION = "0.18-0"
 DEFAULT_CONFIG_FILE = os.path.join(CONFIG_DIR, "config.yml")
 
 
-def resolve_ffmpeg_path(path: str, binary: str = "ffmpeg") -> str:
-    """Resolve an ffmpeg version alias or custom path to a binary path.
-
-    A bare version alias that is no longer bundled (for example one that was
-    dropped when the default version changed) falls back to the default
-    bundled version so existing configs keep working across an upgrade or a
-    revert. Custom install paths (anything absolute) are used as-is.
-    """
-    if path == "default" or (
-        not path.startswith("/") and path not in INCLUDED_FFMPEG_VERSIONS
-    ):
-        version = DEFAULT_FFMPEG_VERSION
-    elif path in INCLUDED_FFMPEG_VERSIONS:
-        version = path
-    else:
-        return f"{path}/bin/{binary}"
-
-    return f"/usr/lib/ffmpeg/{version}/bin/{binary}"
-
-
 def redact_credential(obj: dict[str, Any], key: str) -> None:
     """Replace obj[key] with the redaction sentinel if a value is saved, else drop.
 

web/index.html

@@ -3,7 +3,7 @@
   <head>
     <meta charset="UTF-8" />
     <link rel="icon" href="/images/branding/favicon.ico" />
-    <meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=no, viewport-fit=cover" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />
     <title>Frigate</title>
     <link
       rel="apple-touch-icon"

web/login.html

@@ -3,7 +3,7 @@
   <head>
     <meta charset="UTF-8" />
     <link rel="icon" href="/images/branding/favicon.ico" />
-    <meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
     <title>Frigate</title>
     <link
       rel="apple-touch-icon"

web/public/locales/ar/audio.json

@@ -23,7 +23,7 @@
   "singing": "غناء",
   "choir": "فرقة غناء",
   "chant": "تَرْنِيم",
-  "mantra": "تعويذة",
+  "mantra": "تَرْنِيمَة",
   "child_singing": "غِنَاء طِفْل",
   "synthetic_singing": "غِنَاء اِصْطِنَاعِيّ",
   "rapping": "رَاب",
@@ -50,7 +50,7 @@
   "hands": "أَيْدِي",
   "finger_snapping": "طَقْطَقَة الأَصَابِع",
   "clapping": "تَصْفِيق",
-  "heart_murmur": "نفخة القَلْب",
+  "heart_murmur": "لَغَط القَلْب",
   "cheering": "صِيَاح",
   "applause": "تَصْفِيق",
   "chatter": "حَدِيث",
@@ -74,80 +74,5 @@
   "bus": "حافلة",
   "train": "قطار",
   "boat": "زورق",
-  "bird": "طائر",
-  "sine_wave": "موجة الإشارة",
-  "harmonic": "أوزة",
-  "caw": "نُعَاقُ الغراب",
-  "owl": "بومة",
-  "hoot": "صاح",
-  "flapping_wings": "أجنحة ترفرف",
-  "dogs": "كلاب",
-  "rats": "فئران",
-  "mouse": "فأر",
-  "patter": "طقطق",
-  "insect": "حشرة",
-  "cricket": "كريكيت",
-  "mosquito": "بعوضة",
-  "fly": "سافر",
-  "buzz": "طنين",
-  "frog": "ضفدع",
-  "croak": "نق الضفدع",
-  "snake": "ثعبان",
-  "rattle": "جلجلية",
-  "whale_vocalization": "أصوات الحيتان",
-  "music": "موسيقى",
-  "musical_instrument": "آلة موسيقية",
-  "plucked_string_instrument": "آلة وترية",
-  "guitar": "غيتار",
-  "electric_guitar": "غيتار كهربائي",
-  "bass_guitar": "غيتار البيس",
-  "acoustic_guitar": "غيتار صوتي",
-  "steel_guitar": "غيتار فولاذي",
-  "tapping": "نقر",
-  "strum": "داعب الأ وتار",
-  "banjo": "البانجو",
-  "sitar": "سيتار",
-  "mandolin": "الماندولين",
-  "zither": "زيثارة",
-  "ukulele": "أوكوليلي",
-  "keyboard": "لوحة المفاتيح",
-  "piano": "بيانو",
-  "electric_piano": "بيانو كهربائي",
-  "organ": "أرغن",
-  "electronic_organ": "الأورغن الإلكتروني",
-  "hammond_organ": "أورغن هاموند",
-  "synthesizer": "مُركِّب صوتي",
-  "sampler": "عينة",
-  "harpsichord": "بيان القيثاري",
-  "percussion": "آلات الإيقاع",
-  "drum_kit": "طقم طبول",
-  "drum_machine": "آلة الطبول",
-  "drum": "طبل",
-  "snare_drum": "طبلة جانبية",
-  "rimshot": "طقطة",
-  "drum_roll": "قرع الطبول",
-  "bass_drum": "طبلة الباس",
-  "timpani": "الطبول",
-  "tabla": "طبلة",
-  "cymbal": "الصنج",
-  "hi_hat": "هاي-هات",
-  "wood_block": "كتلة خشبية",
-  "tambourine": "دف",
-  "maraca": "ماراكا",
-  "gong": "غونغ",
-  "tubular_bells": "أجراس أنبوبية",
-  "cattle": "ماشية",
-  "moo": "خوار",
-  "cowbell": "جرس البقر",
-  "pig": "خنزير",
-  "oink": "أوينك",
-  "goat": "معزة",
-  "bleat": "ثغاء",
-  "sheep": "غنم",
-  "fowl": "الدواجن",
-  "chicken": "دجاجة",
-  "cluck": "قرقرة",
-  "cock_a_doodle_doo": "كوكو-كو-كوووووو",
-  "turkey": "ديك رومى",
-  "gobble": "كركرة"
+  "bird": "طائر"
 }

web/public/locales/ar/objects.json

@@ -18,9 +18,5 @@
   "train": "قطار",
   "boat": "زورق",
   "bench": "مقعدة",
-  "bird": "طائر",
-  "mouse": "فأر",
-  "keyboard": "لوحة المفاتيح",
-  "goat": "معزة",
-  "sheep": "غنم"
+  "bird": "طائر"
 }

web/public/locales/bg/audio.json

@@ -265,98 +265,5 @@
   "stomach_rumble": "Къркорене на стомах",
   "heartbeat": "Сърцебиене",
   "scream": "Вик",
-  "snicker": "Хихикане",
-  "chant": "Скандиране",
-  "synthetic_singing": "Синтетично Пеене",
-  "grunt": "Грухтене",
-  "wheeze": "Хриптене",
-  "gasp": "Издихание",
-  "snort": "Смъркане",
-  "heart_murmur": "Сърдечен Шум",
-  "cheering": "Радостни Викове",
-  "yip": "Джавкане",
-  "howl": "Вой",
-  "bow_wow": "Кучешки Вой",
-  "growling": "Ръмжене",
-  "whimper_dog": "Кучешко Скимтене",
-  "caterwaul": "Мяукане",
-  "clip_clop": "Копита",
-  "cattle": "Добитък",
-  "bleat": "Блеене",
-  "fowl": "Домашни Птици",
-  "honk": "Бибиткане",
-  "chirp": "Пиукане",
-  "squawk": "Кряскане/Грачене",
-  "patter": "Ромолене/Потупване",
-  "rattle": "Тракане",
-  "tapping": "Потупване",
-  "strum": "Звук от струни",
-  "zither": "Цитра",
-  "harpsichord": "Клавесин",
-  "snare_drum": "Малко барабанче",
-  "rimshot": "Римшот",
-  "bass_drum": "Голям барабан",
-  "hi_hat": "Фус",
-  "wood_block": "Парче дърво",
-  "electronic_dance_music": "Електронна денс музика",
-  "music_of_bollywood": "Музика от Боливут",
-  "traditional_music": "Традиционна Музика",
-  "soundtrack_music": "Саундтрак музика",
-  "lullaby": "Приспивна песен",
-  "video_game_music": "Музика от компютърна игра",
-  "christmas_music": "Коледна музика",
-  "dance_music": "Денс музика",
-  "wedding_music": "Сватбена музика",
-  "happy_music": "Радостна музика",
-  "sad_music": "Тъжна музика",
-  "tender_music": "Нежна музика",
-  "exciting_music": "Вълнуваща музика",
-  "angry_music": "Яростна музика",
-  "scary_music": "Страшна музика",
-  "wind": "Вятър",
-  "rustling_leaves": "Шумолящи листа",
-  "wind_noise": "Шум от вятър",
-  "rain_on_surface": "Дъжд на повърхност",
-  "crackle": "Пукане",
-  "emergency_vehicle": "Кола на спешна помощ",
-  "engine_knocking": "Чукане от двигател",
-  "cupboard_open_or_close": "Отваряне или затваряне на шкаф",
-  "sink": "Мивка",
-  "bathtub": "Вана",
-  "hair_dryer": "Сешоар",
-  "toilet_flush": "Пускане на вода в тоалетна",
-  "toothbrush": "Четка за зъби",
-  "electric_toothbrush": "Електрическа четка за зъби",
-  "vacuum_cleaner": "Прахосмукачка",
-  "zipper": "Цип",
-  "keys_jangling": "Дрънкане на ключове",
-  "coin": "Монета",
-  "scissors": "Ножица",
-  "electric_shaver": "Електрическа самобръсначка",
-  "shuffling_cards": "Разбъркване на карти",
-  "typing": "Пишене",
-  "typewriter": "Пишеща машина",
-  "computer_keyboard": "Клавиатура",
-  "writing": "Писане на ръка",
-  "alarm": "Аларма",
-  "telephone": "Телефон",
-  "telephone_bell_ringing": "Камбанен звук от телефон",
-  "ringtone": "Мелодия за звънене",
-  "telephone_dialing": "Набиране на телефон",
-  "dial_tone": "Набиране на цифра на телефон",
-  "busy_signal": "Сигнал заето",
-  "alarm_clock": "Алармен часовник",
-  "siren": "Сирена",
-  "civil_defense_siren": "Сирена на гражданска защита",
-  "buzzer": "Бъзър",
-  "smoke_detector": "Детектор за пушек",
-  "fire_alarm": "Пожарна аларма",
-  "whistle": "Свиркане",
-  "steam_whistle": "Парна свирка",
-  "mechanisms": "Механизми",
-  "clock": "Часовник",
-  "tick": "",
-  "tick-tock": "Тиктакане",
-  "gears": "Зъбни колела",
-  "sewing_machine": "Шиеща машина"
+  "snicker": "Хихикане"
 }

web/public/locales/bg/objects.json

@@ -19,10 +19,5 @@
   "skateboard": "Скейтборд",
   "door": "Врата",
   "blender": "Блендер",
-  "person": "Човек",
-  "sink": "Мивка",
-  "hair_dryer": "Сешоар",
-  "toothbrush": "Четка за зъби",
-  "scissors": "Ножица",
-  "clock": "Часовник"
+  "person": "Човек"
 }

web/public/locales/ca/common.json

@@ -50,8 +50,7 @@
       "id": "Bahasa Indonesia (Indonesi)",
       "ur": "اردو (Urdú)",
       "hr": "Hrvatski (croat)",
-      "bs": "Bosanski (Bosni)",
-      "zhHant": "繁體中文 (Xinès Tradicional)"
+      "bs": "Bosanski (Bosni)"
     },
     "system": "Sistema",
     "systemMetrics": "Mètriques del sistema",
@@ -324,8 +323,5 @@
     "internalID": "L'ID intern que Frigate s'utilitza a la configuració i a la base de dades"
   },
   "no_items": "Sense elements",
-  "validation_errors": "Errors de validació",
-  "credentialField": {
-    "savedPlaceholder": "Desat — deixa en blanc per mantenir l'actual"
-  }
+  "validation_errors": "Errors de validació"
 }

web/public/locales/ca/components/camera.json

@@ -68,10 +68,7 @@
     },
     "success": "El grup de càmeres ({{name}}) ha estat guardat.",
     "icon": "Icona",
-    "label": "Grups de Càmeres",
-    "showAll": "Mostra tots els grups de càmeres",
-    "showLess": "Mostra menys",
-    "editGroups": "Edita els grups de la càmera"
+    "label": "Grups de Càmeres"
   },
   "debug": {
     "options": {

web/public/locales/ca/components/player.json

@@ -48,6 +48,5 @@
     "error": {
       "submitFrigatePlusFailed": "Error al enviar fotograma a Frigate+"
     }
-  },
-  "cameraOff": "La càmera està apagada"
+  }
 }

web/public/locales/ca/config/cameras.json

@@ -686,7 +686,7 @@
     },
     "timestamp_style": {
         "label": "Estil de la marca horària",
-        "description": "Opcions d'estilització per a marques de temps aplicades instantànies i la vista de depuració.",
+        "description": "Opcions d'estilització per a marques de temps d'alimentació aplicades a enregistraments i instantànies.",
         "position": {
             "label": "Posició de la marca horària",
             "description": "Posició de la marca horària a la imatge (tl/tr/bl/br)."
@@ -866,10 +866,6 @@
         "dashboard": {
             "label": "Mostra a l'interfície d'usuari",
             "description": "Estableix si aquesta càmera és visible a tot arreu a la interfície d'usuari de la Frigate. Desactivar això requerirà editar manualment la configuració per tornar a veure aquesta càmera a la interfície d'usuari."
-        },
-        "review": {
-            "label": "Mostra en la revisió",
-            "description": "Alterna si aquesta càmera és visible a la revisió (la pàgina de revisió i el seu filtre de càmera, la revisió de moviment i la vista de l'historial)."
         }
     },
     "webui_url": {

web/public/locales/ca/config/global.json

@@ -524,11 +524,11 @@
         },
         "reindex": {
             "label": "Reindexa en iniciar",
-            "description": "Activa un reindexat complet d'objectes rastrejats històrics a la base de dades d'incrustacions."
+            "description": "Activa un reíndex complet d'objectes rastrejats històrics a la base de dades d'incrustacions."
         },
         "model": {
             "label": "Model de cerca semàntica o nom del proveïdor GenAI",
-            "description": "El model de vectors a utilitzar per a la cerca semàntica (per exemple 'jinav1'), o el nom d'un proveïdor de GenAI amb el rol de vectors."
+            "description": "El model d'incrustació a utilitzar per a la cerca semàntica (per exemple 'jinav1'), o el nom d'un proveïdor de GenAI amb el rol d'incrustació."
         },
         "model_size": {
             "label": "Mida del model",
@@ -808,7 +808,7 @@
         },
         "model_size": {
             "label": "Mida del model",
-            "description": "Mida del model a utilitzar per als vectors facials (petit/gran); més gran pot requerir GPU."
+            "description": "Mida del model a utilitzar per a incrustacions facials (petit/gran); més gran pot requerir GPU."
         },
         "unknown_score": {
             "label": "Llindar de puntuació desconegut",
@@ -984,7 +984,7 @@
         },
         "default_role": {
             "label": "Rol predeterminat",
-            "description": "Rol predeterminat assignat als usuaris intermediaris autenticats quan no s'aplica cap mapatge de rols."
+            "description": "Rol predeterminat assignat als usuaris intermediaris autenticats quan no s'aplica cap mapatge de rols (administrador o visor)."
         },
         "separator": {
             "label": "Caràcter separador",
@@ -2337,10 +2337,6 @@
         "dashboard": {
             "label": "Mostra a la interfície",
             "description": "Estableix si aquesta càmera és visible a tot arreu a la interfície d'usuari de Frigate. Desactivar això requerirà editar manualment la configuració per tornar a veure aquesta càmera a la interfície d'usuari."
-        },
-        "review": {
-            "label": "Mostra en la revisió",
-            "description": "Alterna si aquesta càmera és visible a la revisió (la pàgina de revisió i el seu filtre de càmera, la revisió de moviment i la vista de l'historial)."
         }
     },
     "profiles": {

web/public/locales/ca/config/validation.json

@@ -28,8 +28,5 @@
             "detectRequired": "Almenys un flux d'entrada ha de tenir assignat el rol «detecta».",
             "hwaccelDetectOnly": "Només el flux d'entrada amb el rol detect pot definir arguments d'acceleració del maquinari."
         }
-    },
-    "detect": {
-        "dimensionMustBeEven": "Ha de ser un nombre parell."
     }
 }

web/public/locales/ca/views/chat.json

@@ -65,8 +65,5 @@
         "active": "Raonant…",
         "show": "Mostra el raonament",
         "hide": "Amaga el raonament"
-    },
-    "thinking": {
-        "toggle": "Commuta el pensament"
     }
 }

web/public/locales/ca/views/explore.json

@@ -2,10 +2,10 @@
   "exploreIsUnavailable": {
     "downloadingModels": {
       "tips": {
-        "context": "Potser voldreu reindexar els vectors dels objectes seguits un cop s'hagin descarregat els models.",
+        "context": "Potser voldreu reindexar les incrustacions dels objectes seguits un cop s'hagin descarregat els models.",
         "documentation": "Llegir la documentació"
       },
-      "context": "El Frigate està baixant els models de vectors necessaris per a admetre la funció de Cerca Semàntica. Això pot trigar uns quants minuts depenent de la velocitat de la vostra connexió de xarxa.",
+      "context": "Frigate està descarregant els models d'embeddings necessaris per a donar suport a la funció de cerca semàntica. Això pot trigar diversos minuts, depenent de la velocitat de la teva connexió de xarxa.",
       "setup": {
         "visionModel": "Model de visió",
         "visionModelFeatureExtractor": "Extractor de característiques del model de visió",
@@ -248,7 +248,7 @@
   "dialog": {
     "confirmDelete": {
       "title": "Confirmar la supressió",
-      "desc": "En eliminar aquest objecte detectat, s'esborrarà la instantània, els vectors desats i qualsevol entrada associada als detalls de seguiment d'aquest objecte. El metratge enregistrat d'aquest objecte detectat a la vista de l'Historial <em>NO</em> s'esborrarà.<br /><br />Segur que voleu continuar?"
+      "desc": "Suprimir aquest objecte rastrejat elimina la instantània, qualsevol incrustació desada, i qualsevol entrada de detalls de seguiment associada. Les imatges gravades d'aquest objecte seguit en l'historial <em>NO</em> seràn eliminades.<br /><br />Estas segur que vols continuar?"
     },
     "toast": {
       "error": "S'ha produït un error en suprimir aquest objecte rastrejat: {{errorMessage}}"
@@ -282,7 +282,7 @@
         "faceOrLicense_plate": "{{attribute}} detectat per {{label}}",
         "other": "{{label}} reconegut com a {{attribute}}"
       },
-      "gone": "{{label}} ha sortit",
+      "gone": "{{label}} esquerra",
       "heard": "{{label}} sentit",
       "external": "{{label}} detectat",
       "header": {

web/public/locales/ca/views/live.json

@@ -58,9 +58,7 @@
   },
   "camera": {
     "enable": "Habilitar la càmera",
-    "disable": "Deshabilita la càmera",
-    "turnOn": "Activa la càmera",
-    "turnOff": "Apaga la càmera"
+    "disable": "Deshabilita la càmera"
   },
   "muteCameras": {
     "enable": "Silencia totes les càmeres",
@@ -153,8 +151,7 @@
     "autotracking": "Seguiment automàtic",
     "objectDetection": "Detecció d'objectes",
     "audioDetection": "Detecció d'àudio",
-    "transcription": "Transcripció d'audio",
-    "camera": "Càmera"
+    "transcription": "Transcripció d'audio"
   },
   "history": {
     "label": "Mostrar gravacions històriques"

web/public/locales/ca/views/motionSearch.json

@@ -26,9 +26,7 @@
         "points_many": "{{count}} punts",
         "points_other": "{{count}} punts",
         "undo": "Desfés l'últim punt",
-        "reset": "Restableix el polígon",
-        "drawMode": "Dibuxa",
-        "moveMode": "Moure"
+        "reset": "Restableix el polígon"
     },
     "motionHeatmapLabel": "Mapa de calor del moviment",
     "dialog": {
@@ -44,11 +42,11 @@
     "settings": {
         "title": "Configuració de la cerca",
         "parallelMode": "Mode paral·lel",
-        "parallelModeDesc": "Escaneja múltiples intervals d'enregistrament al mateix temps (més ràpid; utilitza més recursos de descodificació)",
+        "parallelModeDesc": "Escaneja múltiples segments d'enregistrament al mateix temps (més ràpid, però significativament més intensiu en CPU)",
         "threshold": "Llindar de la sensibilitat",
         "thresholdDesc": "Els valors més baixos detecten canvis més petits (1-255)",
         "minArea": "Àrea de canvi mínim",
-        "minAreaDesc": "Mida mínima d'una sola regió en moviment, com a percentatge de la regió d'interès",
+        "minAreaDesc": "Percentatge mínim de la regió d'interès que s'ha de canviar per considerar-se significatiu",
         "frameSkip": "Omet el fotograma",
         "frameSkipDesc": "Processa cada N fotograma. Establiu això a la velocitat de fotogrames de la càmera per processar un fotograma per segon (p. ex. 5 per a una càmera de 5 FPS, 30 per a una càmera de 30 FPS). Els valors més alts seran més ràpids, però poden perdre els esdeveniments de curt moviment.",
         "maxResults": "Resultats màxims",
@@ -74,9 +72,6 @@
         "framesDecoded": "Fotogrames descodificats",
         "wallTime": "Temps de cerca",
         "segmentErrors": "Errors del segment",
-        "seconds": "{{seconds}}s",
-        "scanSummary": "{{segments}} segments · {{time}}",
-        "minutesSeconds": "{{minutes}}m {{seconds}}s"
-    },
-    "scanning": "S'està analitzant {{time}}"
+        "seconds": "{{seconds}}s"
+    }
 }

web/public/locales/ca/views/replay.json

@@ -55,5 +55,5 @@
             "goToReplay": "Ves a la repetició"
         }
     },
-    "description": "Reprodueix els enregistraments de la càmera per a la depuració. La llista d'objectes mostra un resum retardat en el temps dels objectes detectats i la pestanya Missatges mostra un flux de missatges interns de frigate a partir del metratge de reproducció."
+    "description": "Reprodueix els enregistraments de la càmera per a la depuració. La llista d'objectes mostra un resum retardat en el temps dels objectes detectats i la pestanya Missatges mostra un flux de missatges interns de la fragata a partir del metratge de reproducció."
 }

web/public/locales/ca/views/settings.json

@@ -29,7 +29,7 @@
     "frigateplus": "Frigate+",
     "enrichments": "Enriquiments",
     "triggers": "Disparadors",
-    "cameraManagement": "Gestió de la càmera",
+    "cameraManagement": "Gestió",
     "cameraReview": "Revisió",
     "roles": "Rols",
     "general": "General",
@@ -136,7 +136,7 @@
       "clearAll": "Esborra tots els paràmetres de transmissió"
     },
     "recordingsViewer": {
-      "title": "Visualitzador d'enregistraments",
+      "title": "Visor d'enregistraments",
       "defaultPlaybackRate": {
         "label": "Velocitat de reproducció predeterminada",
         "desc": "Velocitat de reproducció predeterminada per a la reproducció de gravacions."
@@ -426,8 +426,7 @@
     "notificationUnavailable": {
       "title": "Notificacions no disponibles",
       "documentation": "Llegir la documentació",
-      "desc": "Les notificacions push web requereixen un context segur (<code>https://…</code>). Aquesta és una limitació del navegador. Accedeix a Frigate de manera segura per utilitzar les notificacions.",
-      "descPwa": "A iOS, les notificacions push web només estàn disponibles quan Frigate està instalat a la pantalla principal. Obre el menú <strong>Compartir</strong> , selecciona <strong>Afegir a la pantalla</strong>, i obre Frigate des del nou icona per registrar les notificacions en aquest dispositiu."
+      "desc": "Les notificacions push web requereixen un context segur (<code>https://…</code>). Aquesta és una limitació del navegador. Accedeix a Frigate de manera segura per utilitzar les notificacions."
     },
     "unsavedChanges": "Canvis de notificació no desats",
     "globalSettings": {
@@ -774,22 +773,22 @@
       "modelSize": {
         "small": {
           "title": "petit",
-          "desc": "Si s'utilitza <em>small</em>, s'empra una versió quantitzada del model que consumeix menys memòria RAM i s'executa més ràpidament a la CPU, amb una diferència inapreciable en la qualitat dels vectors."
+          "desc": "L’opció <em>small</em> fa servir una versió quantitzada del model que consumeix menys RAM i s’executa més ràpidament a la CPU, amb una diferència gairebé inapreciable en la qualitat de les incrustacions (embeddings)."
         },
         "label": "Mida del model",
         "large": {
           "title": "gran",
           "desc": "L’opció <em>large</em> fa servir el model complet de Jina i s’executarà automàticament a la GPU si està disponible."
         },
-        "desc": "La mida del model utilitzat per als vectors de la cerca semàntica."
+        "desc": "La mida del model utilitzat per incrustacions de cerca semàntica."
       },
       "reindexNow": {
         "confirmButton": "Reindexar",
         "success": "La reindexació ha començat amb èxit.",
         "label": "Reindexar ara",
         "confirmTitle": "Confirmar la reindexació",
-        "desc": "La reindexació tornarà a generar els vectors de tots els objectes detectats. Aquest procés s'executa en segon pla, pot posar la CPU al màxim i trigar una bona estona segons el nombre d'objectes detectats que tingueu.",
-        "confirmDesc": "Segur que voleu tornar a indexar els vectors de tots els objectes detectats? Aquest procés s'executa en segon pla, però pot posar la CPU al màxim i trigar una bona estona. En podeu veure el progrés a la pàgina Explora.",
+        "desc": "La reindexació regenerarà les incrustacions per a tots els objectes rastrejats. Aquest procés s'executa en segon pla i pot treure el màxim de la CPU i prendre una quantitat de temps raonable depenent del nombre d'objectes rastrejats que tingueu.",
+        "confirmDesc": "Estàs segur que vols reindexar totes les incrustacions (embeddings) dels objectes seguits? Aquest procés s’executarà en segon pla, però pot arribar a saturar la CPU i trigar bastant temps. Pots seguir-ne el progrés a la pàgina d’Explora.",
         "alreadyInProgress": "La reindexació ja està en curs.",
         "error": "Error en iniciar la reindexació: {{errorMessage}}"
       },
@@ -1060,7 +1059,7 @@
         "brands": {
           "reolink-rtsp": "No es recomana Reolink RST. Es recomana habilitar HTTP a la configuració de la càmera i reiniciar l'assistent de la càmera."
         },
-        "customUrlRtspRequired": "Els URL personalitzats han de començar amb \"rtsp://\" o \"rtsps://\". Es requereix configuració manual per a fluxos de càmera no RTSP."
+        "customUrlRtspRequired": "Els URL personalitzats han de començar amb \"rtsp://\". Es requereix configuració manual per a fluxos de càmera no RTSP."
       },
       "selectBrand": "Seleccioneu la marca de la càmera per a la plantilla d'URL",
       "customUrl": "URL de flux personalitzat",
@@ -1304,13 +1303,13 @@
     "selectCamera": "Selecciona una càmera",
     "backToSettings": "Torna a la configuració de la càmera",
     "streams": {
-      "title": "Estat i detalls de la càmera",
+      "title": "Habilita / Inhabilita les càmeres",
       "desc": "Inhabilita temporalment una càmera fins que es reiniciï la fragata. La inhabilitació d'una càmera atura completament el processament de Frigate dels fluxos d'aquesta càmera. La detecció, l'enregistrament i la depuració no estaran disponibles.<br /> <em>Nota: això no desactiva les retransmissions de go2rtc.</em>",
       "enableLabel": "Càmeres habilitades",
       "enableDesc": "Inhabilita temporalment una càmera habilitada fins que es reiniciï Frigate. La inhabilitació d'una càmera atura completament el processament de Frigate dels fluxos d'aquesta càmera. La detecció, l'enregistrament i la depuració no estaran disponibles.<br /> <em>Nota: això no inhabilita els restreams go2rtc.</em><br /><br />Drag el handle per reordenar les càmeres tal com apareixen a la interfície d'usuari. L'ordre de les càmeres habilitades es reflectirà en tota la interfície d'usuari, incloent el tauler en viu i els desplegables de selecció de càmeres.",
       "disableLabel": "Càmeres inhabilitades",
       "disableDesc": "Habilita una càmera que actualment no és visible a la interfície d'usuari i està desactivada a la configuració. Es requereix un reinici de Frigate després d'activar-la.",
-      "enableSuccess": "{{cameraName}} activat. Reinicia Frigate a aplicar.",
+      "enableSuccess": "{{cameraName}} activat a la configuració. Reinicia Frigate per aplicar els canvis.",
       "friendlyName": {
         "edit": "Edita el nom de la pantalla de la càmera",
         "title": "Edita el nom de la pantalla",
@@ -1319,30 +1318,7 @@
       },
       "reorderHandle": "Arrossega per reordenar",
       "saving": "S'està desant…",
-      "saved": "Desat",
-      "details": {
-        "edit": "Edita els detalls de la càmera",
-        "title": "Edita els detalls de la càmera",
-        "description": "Actualitza el nom de visualització, l'URL extern i la visibilitat utilitzada per a aquesta càmera a tota la interfície d'usuari de la Fragata.",
-        "friendlyNameLabel": "Nom a mostrar",
-        "friendlyNameHelp": "Nom amistós que es mostra per a aquesta càmera a tota la interfície d'usuari de Frigate. Deixeu-ho en blanc per utilitzar l'ID de la càmera.",
-        "webuiUrlLabel": "URL de la interfície web de la càmera",
-        "webuiUrlHelp": "URL per a visitar la interfície d'usuari web de la càmera directament des de la vista de depuració. Deixeu-ho en blanc per desactivar l'enllaç.",
-        "webuiUrlInvalid": "Ha de ser un URL vàlid (p. ex., https://example.com).",
-        "dashboardLabel": "Mostra al tauler en directe",
-        "dashboardHelp": "Mostra aquesta càmera al Tauler en viu.",
-        "reviewLabel": "Mostra a la ressenya",
-        "reviewHelp": "Mostra aquesta càmera a Revisió, incloent el filtre de càmera, la revisió de moviment i la vista de l'historial."
-      },
-      "label": "Estat de la càmera",
-      "description": "Estableix l'estat operatiu de cada càmera.<br /><br /><strong>A</strong>: els fluxos es processen normalment.<br /><strong>Off</strong>: pausa temporalment el processament. No persisteix a través de reinicis de Frigate.<br /><strong>Inhabilitat</strong>: deixa de processar i desa el canvi a la configuració. Es requereix un reinici per a tornar a habilitar una càmera inhabilitada.<br /><br /><em>Nota: La inhabilitació no afecta els restreams de go2rtc.</em><br /><br />Arrossegueu l'ansa per a reordenar les càmeres actives a mesura que apareguin a tota la interfície d'usuari, inclosos els desplegables de selecció de quadres en viu i de càmera.",
-      "disabledSubheading": "Desactivat en la configuració",
-      "status": {
-        "on": "Engegat",
-        "off": "Apagat",
-        "disabled": "Desactivat"
-      },
-      "disableSuccess": "{{cameraName}} desactivat i desat a la configuració."
+      "saved": "Desat"
     },
     "cameraConfig": {
       "add": "Afegeix una càmera",
@@ -1388,110 +1364,20 @@
     "profiles": {
       "title": "Sobreescriu la càmera de perfil",
       "selectLabel": "Seleccioneu el perfil",
-      "description": "Configura quines càmeres estan activades o desactivades quan s'activa un perfil. Les càmeres establertes a «herit» mantenen el seu estat per defecte.",
+      "description": "Configura quines càmeres estan habilitades o desactivades quan s'activa un perfil. Les càmeres establertes a «Inherit» mantenen el seu estat base habilitat.",
       "inherit": "Hereta",
       "enabled": "Habilitat",
-      "disabled": "Desactivat",
-      "on": "Engegat",
-      "off": "Apagat"
+      "disabled": "Desactivat"
     },
     "cameraType": {
       "title": "Tipus de càmera",
       "label": "Tipus de càmera",
       "description": "Estableix el tipus per a cada càmera. Les càmeres LPR dedicades són càmeres d'un sol ús amb un potent zoom òptic per capturar matrícules en vehicles distants. La majoria de les càmeres haurien d'utilitzar el tipus de càmera normal llevat que la càmera sigui específicament per a LPR i tingui una vista molt centrada en les matrícules.",
       "dedicatedLpr": "LPR dedicat",
-      "saveSuccess": "Tipus de càmera actualitzat per {{cameraName}}. Reinicia Frigate per aplicar els canvis.",
+      "saveSuccess": "Tipus de càmera actualitzat per {{cameraName}}. Reinicia la fragata per aplicar els canvis.",
       "normal": "Normal"
     },
-    "description": "Afegiu, editeu i suprimiu les càmeres, controleu l'estat de cada càmera, i configureu les superposicions per perfil i tipus de càmera. Per a configurar fluxos, detecció, moviment i altres paràmetres específics de la càmera, trieu la secció específica a Configuració de la càmera.",
-    "clone": {
-      "sectionTitle": "Clona la configuració",
-      "sectionDescription": "Copia la configuració d'una càmera a una altra càmera o una de nova.",
-      "button": "Clona la configuració",
-      "title": "Clona la configuració de la càmera",
-      "description": "Copia la configuració d'una càmera a una o més càmeres o a una càmera nova. La identitat (nom, nom amigable, URL de la interfície d'usuari web, ordre de visualització) no es copia mai.",
-      "source": {
-        "label": "Càmera d'origen",
-        "placeholder": "Seleccioneu una càmera d'origen",
-        "required": "Seleccioneu una càmera d'origen"
-      },
-      "target": {
-        "legend": "Objectiu",
-        "newRadio": "Càmara nova",
-        "newNameLabel": "Nom de la càmera",
-        "newNamePlaceholder": "p. ex., porta enrere orporta o porta posterior",
-        "newNameInvalid": "Es requereix el nom de la càmera",
-        "newNameCollision": "Ja existeix una càmera amb aquest nom",
-        "newStreamsForced": "Els fluxos sempre es copien per a una càmera nova.",
-        "existingCamerasRadio": "Càmeres existents",
-        "allCameras": "Totes les càmeres",
-        "existingPlaceholder": "Selecciona almenys una càmera",
-        "existingDisabled": "No hi ha cap altra càmera a la qual copiar",
-        "newNameRequired": "Es requereix el nom de la càmera"
-      },
-      "categories": {
-        "legend": "Configuració per clonar",
-        "description": "Trieu quina configuració voleu copiar de la càmera d'origen.",
-        "selectAll": "Selecciona-ho tot",
-        "selectNone": "No en seleccioneu cap",
-        "resetDefaults": "Restableix als valors predeterminats",
-        "general": "General",
-        "spatial": "Paràmetres espacials",
-        "streams": "Fluxos",
-        "spatialWarningTitle": "La resolució no coincideix",
-        "spatialWarning": "La càmera d'origen {{srcCamera}} detecta la resolució ({{srcWidth}}.{{srcHeight}}) difereix de: {{cameras}}. És possible que els polígons no s'alineïn en aquestes càmeres. Aquests valors predeterminats estan desactivats; habiliteu-ho per a copiar tal qual.",
-        "restartHint": "Reinicia requerit",
-        "items": {
-          "record": "Enregistrament",
-          "snapshots": "Instantànies",
-          "review": "Revisió",
-          "motion": "Detecció de moviment",
-          "objects": "Objectes",
-          "audio": "Detecció d'àudio",
-          "audio_transcription": "Transcripció d'àudio",
-          "notifications": "Notificacions",
-          "birdseye": "Birdseye",
-          "timestamp_style": "Estil de la marca horària",
-          "lpr": "Reconeixement de la matrícula",
-          "face_recognition": "Reconeixement de cares",
-          "semantic_search": "Cerca semàntica",
-          "genai": "IA generativa",
-          "type": "Tipus de càmera (LPR normal / dedicat)",
-          "profiles": "Perfils",
-          "detect": "Detecta les dimensions",
-          "zones": "Zones",
-          "motion_mask": "Màscares de moviment",
-          "object_masks": "Màscares d'objecte",
-          "ffmpeg_live": "URL i rols de flux",
-          "mqtt": "MQTT",
-          "onvif": "ONVIF"
-        }
-      },
-      "footer": {
-        "changeCount_one": "{{count}} s'aplicarà el canvi",
-        "changeCount_many": "{{count}} canvis s'aplicaran",
-        "changeCount_other": "{{count}} canvis s'aplicaran",
-        "restartNeeded": "Es requerirà reiniciar per a alguns canvis.",
-        "liveOnly": "Tots els canvis s'aplicaran en viu sense reiniciar.",
-        "submit": "Clona",
-        "submitting": "S'està clonant…"
-      },
-      "toast": {
-        "success": "Configuració copiada a {{cameraName}}",
-        "successWithRestart": "Configuració copiada a {{cameraName}}. Reinicia Frigate per aplicar tots els canvis.",
-        "successMulti_one": "Configuració copiada a la càmera {{count}}",
-        "successMulti_many": "Configuració copiada a {{count}} càmeres",
-        "successMulti_other": "Configuració copiada a {{count}} càmeres",
-        "successMultiWithRestart_one": "Configuració copiada a la càmera {{count}}. Reinicia Frigate per aplicar tots els canvis.",
-        "successMultiWithRestart_many": "Configuració copiada a {{count}} càmeres. Reinicia Frigate per aplicar tots els canvis.",
-        "successMultiWithRestart_other": "Configuració copiada a {{count}} càmeres. Reinicia la fragata per aplicar tots els canvis.",
-        "partialFailure": "{{successCount}} seccions aplicades; «{{failedSection}}» ha fallat: {{errorMessage}}",
-        "partialFailureMulti": "S'ha copiat a {{successCount}} càmera(es); ha fallat {{failed}}: {{errorMessage}}",
-        "newCameraPartialFailure": "S'ha creat la càmera {{cameraName}} però no s'han pogut copiar alguns paràmetres: {{errorMessage}}",
-        "sourceMissing": "La càmera d'origen ja no existeix",
-        "submitError": "No s'ha pogut clonar la càmera: {{errorMessage}}"
-      }
-    }
+    "description": "Afegiu, editeu i suprimiu les càmeres, controleu quines càmeres estan habilitades, i configureu les superposicions per perfil i tipus de càmera. Per a configurar fluxos, detecció, moviment i altres paràmetres específics de la càmera, trieu la secció específica a Configuració de la càmera."
   },
   "cameraReview": {
     "object_descriptions": {
@@ -1613,7 +1499,7 @@
       "desc": "La quadrícula de regions és una optimització que aprèn on solen aparèixer objectes de diferents mides en el camp de visió de cada càmera. Frigate utilitza aquestes dades per detectar regions de mida eficient. La quadrícula es construeix automàticament amb el temps a partir de dades d'objectes rastrejats.",
       "clear": "Neteja la quadrícula de la regió",
       "clearConfirmTitle": "Neteja la quadrícula de la regió",
-      "clearConfirmDesc": "No es recomana netejar la quadrícula de la regió tret que hagi canviat recentment la mida del model del detector o hagi canviat la posició física de la càmera i tingui problemes de seguiment d'objectes. La quadrícula es reconstruirà automàticament amb el temps a mesura que els objectes siguin rastrejats. Es requereix un reinici de Frigate perquè els canvis tinguin efecte.",
+      "clearConfirmDesc": "No es recomana netejar la quadrícula de la regió tret que hagi canviat recentment la mida del model del detector o hagi canviat la posició física de la càmera i tingui problemes de seguiment d'objectes. La quadrícula es reconstruirà automàticament amb el temps a mesura que els objectes siguin rastrejats. Es requereix un reinici de la fragata perquè els canvis tinguin efecte.",
       "clearSuccess": "La quadrícula de la regió s'ha netejat correctament",
       "clearError": "Ha fallat en netejar la graella de la regió",
       "restartRequired": "Cal reiniciar per a que els canvis de la quadrícula de la regió tinguin efecte"
@@ -1788,7 +1674,7 @@
     "searchPlaceholder": "Cerca...",
     "genaiRoles": {
       "options": {
-        "embeddings": "Vectors",
+        "embeddings": "Incrustació",
         "vision": "Visió",
         "tools": "Eines",
         "descriptions": "Descripcions",
@@ -1807,43 +1693,13 @@
     },
     "addCustomLabel": "Afegeix una etiqueta personalitzada...",
     "genaiModel": {
-      "placeholder": "Seleccioneu o introduïu un model…",
-      "search": "Cerca o introdueix un model…",
-      "noModels": "No hi ha models disponibles",
-      "available": "Models disponibles",
-      "useCustom": "Utilitza \"{{value}}\"",
-      "refresh": "Actualitza els models",
-      "probeFailed": "No s'han pogut investigar els models",
-      "fetchedModels": "S'ha obtingut correctament la llista de models"
+      "placeholder": "Selecciona el model…",
+      "search": "Cerca models…",
+      "noModels": "No hi ha models disponibles"
     },
     "knownPlates": {
       "namePlaceholder": "per exemple. Cotxe de la parella",
       "platePlaceholder": "Matricula o regex"
-    },
-    "semanticSearchModelSize": {
-      "notApplicable": "No aplicable als proveïdors de GenAI"
-    },
-    "liveStreams": {
-      "streamNameLabel": "Nom del flux",
-      "streamNamePlaceholder": "p. ex., corrent HD principal",
-      "go2rtcStreamLabel": "flux go2rtc",
-      "go2rtcStreamPlaceholder": "Selecciona un flux go2rtc",
-      "go2rtcStreamSearch": "Cerca o introdueix un nom de flux…",
-      "noGo2rtcStreams": "No s'ha configurat cap flux go2rtc",
-      "availableStreams": "Fluxos disponibles",
-      "useCustom": "Utilitza \"{{value}}\"",
-      "addStream": "Afegeix un flux"
-    },
-    "ptzPresets": {
-      "placeholder": "Selecciona o entra una configuració...",
-      "search": "Busca o entra una configuració...",
-      "noPresets": "No hi ha configuracions disponibles",
-      "available": "Parámetres de Cámera",
-      "useCustom": "Usa \"{{value}}\""
-    },
-    "defaultRole": {
-      "admin": "Administrar",
-      "viewer": "Visor"
     }
   },
   "globalConfig": {
@@ -1880,9 +1736,9 @@
     "saveAllPartial_other": "{{successCount}} de {{totalCount}} seccions desades. {{failCount}} ha fallat.",
     "saveAllFailure": "Ha fallat en desar totes les seccions.",
     "applied": "La configuració s'ha aplicat correctament",
-    "saveAllSuccessRestartRequired_one": "S'ha desat la secció {{count}} correctament. Reinicia Frigate per aplicar els canvis.",
-    "saveAllSuccessRestartRequired_many": "Totes les {{count}} seccions s'han desat correctament. Reinicia Frigate per aplicar els canvis.",
-    "saveAllSuccessRestartRequired_other": "Totes les {{count}} seccions s'han desat correctament. Reinicia Frigate per aplicar els canvis."
+    "saveAllSuccessRestartRequired_one": "S'ha desat la secció {{count}} correctament. Reinicia la fragata per aplicar els canvis.",
+    "saveAllSuccessRestartRequired_many": "Totes les {{count}} seccions s'han desat correctament. Reinicia la fragata per aplicar els canvis.",
+    "saveAllSuccessRestartRequired_other": "Totes les {{count}} seccions s'han desat correctament. Reinicia la fragata per aplicar els canvis."
   },
   "unsavedChanges": "Teniu canvis sense desar",
   "confirmReset": "Confirma el restabliment",
@@ -2009,8 +1865,7 @@
       "hardwareDxva2": "DXVA2",
       "hardwareVideotoolbox": "VideoToolbox"
     },
-    "streamNumber": "Flux {{index}}",
-    "sourceNumber": "Font {{index}}"
+    "streamNumber": "Flux {{index}}"
   },
   "timestampPosition": {
     "tl": "A dalt a l'esquerra",
@@ -2034,7 +1889,7 @@
       "recordDisabled": "L'enregistrament està desactivat, els elements de revisió no es generaran.",
       "detectDisabled": "La detecció d'objectes està desactivada. Els elements de revisió requereixen objectes detectats per categoritzar alertes i deteccions.",
       "allNonAlertDetections": "Totes les activitats no alertes s'inclouran com a deteccions.",
-      "genaiImageSourceRecordingsRecordDisabled": "La font d'imatges està configurada com a 'enregistraments', però l'enregistrament està desactivat. Frigate tornarà a la vista prèvia de les imatges."
+      "genaiImageSourceRecordingsRecordDisabled": "La font d'imatges està configurada com a 'enregistraments', però l'enregistrament està desactivat. La fragata tornarà a la vista prèvia de les imatges."
     },
     "audio": {
       "noAudioRole": "Cap flux té definit el rol d'àudio. Heu d'habilitar el rol d'àudio per a la detecció d'àudio perquè funcioni."
@@ -2044,13 +1899,7 @@
     },
     "detect": {
       "fpsGreaterThanFive": "No es recomana establir el detect FPS superior a 5. Els valors més alts poden causar problemes de rendiment i no proporcionaran cap benefici.",
-      "disabled": "La detecció d'objectes està desactivada. Les instantànies, articles de revisió i enriquiments com el reconeixement de rostres, el reconeixement de matrícules i la IA Generativa no funcionaran.",
-      "resolutionShouldBeMultipleOfFour": "Per obtenir els millors resultats, detectar l'amplada i l'alçada han de ser múltiples de 4. Altres valors parells poden produir artefactes visuals o una lleugera distorsió en el flux de detecció.",
-      "aspectRatioMismatch": "L'amplada i alçada que heu introduït no coincideixen amb la relació d'aspecte de la resolució de detecció actual. Això pot produir una imatge estirada o distorsionada.",
-      "maxFramesSet": "La configuració dels fotogrames màxims anul·la el comportament predeterminat i desactiva el seguiment d'objectes estacionaris. Hi ha molt poques situacions en què això sigui necessari, utilitzeu-lo amb precaució.",
-      "squareResolution": "Una resolució de detecció quadrada és inusual. L'amplada i l'alçada de la detecció han de coincidir amb la relació d'aspecte de la càmera (per exemple, 16:9), no amb les dimensions del model de detecció d'objectes. Una relació d'aspecte no coincident pot estirar la imatge i reduir la precisió de detecció.",
-      "resolutionHigh": "Aquesta resolució de detecció és més alta del recomanat i pot causar un ús més elevat dels recursos sense millorar la precisió de detecció. Es recomana una resolució de detecció a o per sota de 1080p per a la majoria de les càmeres.",
-      "globalResolutionMultipleCameras": "S'estableix una resolució de detecció global mentre es configuren diverses càmeres. Tret que totes les càmeres comparteixin la mateixa resolució i relació d'aspecte, l'amplada i l'alçada de la detecció s'haurien de definir per càmera perquè coincideixi amb la relació d'aspecte nativa de cada càmera."
+      "disabled": "La detecció d'objectes està desactivada. Les instantànies, articles de revisió i enriquiments com el reconeixement de rostres, el reconeixement de matrícules i la IA Generativa no funcionaran."
     },
     "faceRecognition": {
       "globalDisabled": "L'enriquiment del reconeixement facial s'ha d'habilitar perquè les funcions de reconeixement facial funcionin en aquesta càmera.",
@@ -2079,11 +1928,7 @@
       "genaiNoDescriptionsProvider": "Heu de configurar un proveïdor de GenAI amb el rol 'descripcions' per a les descripcions que es generaran."
     },
     "semanticSearch": {
-      "jinav2SmallModelSize": "La mida 'petita' amb el model Jina V2 té un alt cost de RAM i d'inferència. Es recomana el model 'gran' amb una GPU discreta.",
-      "modelSizeIgnoredForProvider": "La mida del model només s'aplica als models de Jina incorporats. Aquest valor s'ignorarà quan s'utilitzi un proveïdor d'incrustació GenAI."
-    },
-    "onvif": {
-      "autotrackingNoZones": "Autotraquejar requereix al menys una zona. Defineix una zona per aquesta cámera a Mascares/Zones, després usa'l com a requerit a la part inferior."
+      "jinav2SmallModelSize": "La mida 'petita' amb el model Jina V2 té un alt cost de RAM i d'inferència. Es recomana el model 'gran' amb una GPU discreta."
     }
   },
   "modelSize": {

web/public/locales/ca/views/system.json

@@ -66,10 +66,10 @@
   },
   "general": {
     "detector": {
-      "memoryUsage": "Ús de la memòria del detector",
+      "memoryUsage": "Ús de memòria del detector",
       "title": "Detectors",
       "inferenceSpeed": "Velocitat d'inferència del detector",
-      "cpuUsage": "Ús de la CPU del detector",
+      "cpuUsage": "Ús de CPU del detector",
       "temperature": "Temperatura del detector",
       "cpuUsageInformation": "CPU usada en la preparació d'entrades i sortides desde/cap als models de detecció. Aquest valor no mesura l'utilització d'inferència, encara que usis una GPU o accelerador."
     },
@@ -118,11 +118,11 @@
     "otherProcesses": {
       "title": "Altres processos",
       "processMemoryUsage": "Ús de memòria de procés",
-      "processCpuUsage": "Ús de la CPU per procés",
+      "processCpuUsage": "Ús de la CPU del procés",
       "series": {
         "recording": "gravant",
         "review_segment": "segment de revisió",
-        "embeddings": "Vectors",
+        "embeddings": "incrustacions",
         "audio_detector": "detector d'àudio",
         "go2rtc": "go2rtc"
       }
@@ -220,7 +220,7 @@
   },
   "lastRefreshed": "Darrera actualització: ",
   "stats": {
-    "reindexingEmbeddings": "Reindexant vectors ({{processed}}% completat)",
+    "reindexingEmbeddings": "Reindexant incrustacions ({{processed}}% completat)",
     "healthy": "El sistema és saludable",
     "cameraIsOffline": "{{camera}} està fora de línia",
     "ffmpegHighCpuUsage": "{{camera}} te un ús elevat de CPU per FFmpeg ({{ffmpegAvg}}%)",
@@ -234,14 +234,14 @@
     "title": "Enriquiments",
     "embeddings": {
       "face_recognition_speed": "Velocitat de reconeixement facial",
-      "image_embedding": "Vectors d'imatges",
-      "text_embedding": "Vectors de text",
+      "image_embedding": "Incrustació d'imatges",
+      "text_embedding": "Incrustació de text",
       "face_recognition": "Reconeixement de rostres",
       "plate_recognition": "Reconeixemnt de matrícules",
-      "image_embedding_speed": "Velocitat de generació de vectors",
-      "face_embedding_speed": "Velocitat de generació de vectors facials",
+      "image_embedding_speed": "Velocitat d'ncrustació d'imatges",
+      "face_embedding_speed": "Velocitat d'incrustació de rostres",
       "plate_recognition_speed": "Velocitat de reconeixement de matrícules",
-      "text_embedding_speed": "Velocitat de generació de vectors de text",
+      "text_embedding_speed": "Velocitat d'incrustació de text",
       "yolov9_plate_detection": "Detecció de matrícules YOLOv9",
       "yolov9_plate_detection_speed": "Velocitat de detecció de matrícules YOLOv9",
       "review_description": "Descripció de la revisió",

web/public/locales/cs/views/explore.json

@@ -116,9 +116,7 @@
         "error": "Sledovaný objekt se nepodařilo smazat: {{errorMessage}}",
         "success": "Sledovaný objekt úspěšně smazán."
       }
-    },
-    "previousTrackedObject": "Předchozí sledovaný objekt",
-    "nextTrackedObject": "Následující sledovaný objekt"
+    }
   },
   "objectLifecycle": {
     "count": "{{first}} z {{second}}",
@@ -204,12 +202,6 @@
     "audioTranscription": {
       "label": "Přepsat",
       "aria": "Požádat o přepis zvukového záznamu"
-    },
-    "showObjectDetails": {
-      "label": "Zobrazit trasu objektu"
-    },
-    "hideObjectDetails": {
-      "label": "Skrýt trasu objektu"
     }
   },
   "dialog": {

web/public/locales/de/common.json

@@ -193,8 +193,7 @@
       "gl": "Galego (Galicisch)",
       "id": "Bahasa Indonesia (Indonesisch)",
       "hr": "Hrvatski (Kroatisch)",
-      "bs": "Bosnisch",
-      "zhHant": "Traditional Chinese"
+      "bs": "Bosnisch"
     },
     "appearance": "Erscheinung",
     "theme": {
@@ -327,8 +326,5 @@
     "separatorWithSpace": ", "
   },
   "no_items": "Keine Artikel",
-  "validation_errors": "Validierungsfehler",
-  "credentialField": {
-    "savedPlaceholder": "Gespeichert – leer lassen, um den aktuellen Stand beizubehalten"
-  }
+  "validation_errors": "Validierungsfehler"
 }

web/public/locales/de/components/player.json

@@ -48,6 +48,5 @@
       "submittedFrigatePlus": "Bild erfolgreich an Frigate+ gesendet"
     }
   },
-  "noPreviewFoundFor": "Keine Vorschau für {{cameraName}} gefunden",
-  "cameraOff": "Kamera ist ausgeschaltet"
+  "noPreviewFoundFor": "Keine Vorschau für {{cameraName}} gefunden"
 }

web/public/locales/de/config/cameras.json

@@ -9,7 +9,7 @@
         "description": "Aktiviert"
     },
     "audio": {
-        "label": "Audioereignisse",
+        "label": "Audioerkennung",
         "description": "Einstellungen für audiobasierte Ereigniserkennung für diese Kamera.",
         "enabled": {
             "label": "Aktivieren der Audioerkennung",
@@ -826,7 +826,7 @@
     },
     "timestamp_style": {
         "label": "Format für Zeitstempel",
-        "description": "Gestaltungsoptionen für Zeitstempel, die auf Momentaufnahmen und die Debug-Ansicht angewendet werden.",
+        "description": "Gestaltungsmöglichkeiten für Zeitstempel im Feed, die auf Aufzeichnungen und Momentaufnahmen angewendet werden.",
         "position": {
             "label": "Position des Zeitstempels",
             "description": "Position des Zeitstempels auf dem Bild (tl/tr/bl/br)."

web/public/locales/de/config/global.json

@@ -8,7 +8,7 @@
         "description": "Wenn aktiviert, startet Frigate im abgesicherten Modus mit reduzierten Features für die Fehlersuche."
     },
     "audio": {
-        "label": "Audioereignisse",
+        "label": "Audioerkennung",
         "enabled": {
             "label": "Aktivieren der Audioerkennung",
             "description": "Aktivieren oder deaktivieren Sie die Erkennung von Audioereignissen für alle Kameras; diese Einstellung kann für jede Kamera individuell überschrieben werden."
@@ -496,7 +496,7 @@
         },
         "default_role": {
             "label": "Standardrolle",
-            "description": "Standardrolle, die proxy-authentifizierten Benutzern zugewiesen wird, wenn keine Rollenzuordnung vorliegt."
+            "description": "Standardrolle, die proxy-authentifizierten Benutzern zugewiesen wird, wenn keine Rollenzuordnung gilt (Admin oder Betrachter)."
         },
         "separator": {
             "label": "Trennzeichen",
@@ -1279,41 +1279,6 @@
         },
         "raw_mask": {
             "label": "Rohmaske"
-        },
-        "filters_attribute": {
-            "label": "Attributfilter",
-            "description": "Auf erkannte Attribute angewendete Filter zur Reduzierung von Fehlalarmen (Fläche, Verhältnis, Konfidenz).",
-            "min_area": {
-                "label": "Mindestfläche des Attributs",
-                "description": "Für dieses Attribut erforderliche Mindestfläche des Begrenzungsrahmens (in Pixeln oder Prozent). Kann als Pixelwert (Ganzzahl) oder als Prozentwert (Gleitkommawert zwischen 0,000001 und 0,99) angegeben werden."
-            },
-            "max_area": {
-                "label": "Maximale Attributfläche",
-                "description": "Maximal zulässige Fläche des Begrenzungsrahmens (in Pixeln oder Prozent) für dieses Attribut. Kann als Pixelwert (Ganzzahl) oder als Prozentwert (Gleitkommawert zwischen 0,000001 und 0,99) angegeben werden."
-            },
-            "min_ratio": {
-                "label": "Mindestseitenverhältnis",
-                "description": "Erforderliches Mindestverhältnis von Breite zu Höhe, damit die Begrenzungsbox die Anforderungen erfüllt."
-            },
-            "max_ratio": {
-                "label": "Maximales Seitenverhältnis",
-                "description": "Maximal zulässiges Verhältnis von Breite zu Höhe für die Begrenzungsbox, damit diese die Anforderungen erfüllt."
-            },
-            "threshold": {
-                "label": "Konfidenzschwelle",
-                "description": "Durchschnittlicher Schwellenwert für die Erkennungssicherheit, der erforderlich ist, damit das Merkmal als echtes Positiv gewertet wird."
-            },
-            "min_score": {
-                "label": "Mindestvertrauen",
-                "description": "Mindestwert für die Erkennungssicherheit eines einzelnen Bildes, der erforderlich ist, um dieses Attribut seinem übergeordneten Objekt zuzuordnen."
-            },
-            "mask": {
-                "label": "Filtermaske",
-                "description": "Polygonkoordinaten, die festlegen, wo dieser Filter innerhalb des Bildausschnitts angewendet wird."
-            },
-            "raw_mask": {
-                "label": "Rohmaske"
-            }
         }
     },
     "record": {

web/public/locales/de/config/validation.json

@@ -28,8 +28,5 @@
             "detectRequired": "Es muss mindestens ein input stream die Rolle 'erkennen' tragen.",
             "hwaccelDetectOnly": "Nur der input-stream mit der Rolle 'erkennen' kann Hardwarebeschleunigungs Argumente definieren."
         }
-    },
-    "detect": {
-        "dimensionMustBeEven": "Es muss eine gerade Zahl sein."
     }
 }

web/public/locales/de/views/chat.json

@@ -60,13 +60,5 @@
     "stats": {
         "context": "{{tokens}} tokens",
         "tokens_per_second": "{{rate}} t/s"
-    },
-    "reasoning": {
-        "active": "Begründung…",
-        "show": "Begründung anzeigen",
-        "hide": "Begründung ausblenden"
-    },
-    "thinking": {
-        "toggle": "Umschalten"
     }
 }

web/public/locales/de/views/live.json

@@ -144,9 +144,7 @@
   },
   "camera": {
     "enable": "Kamera aktivieren",
-    "disable": "Kamera deaktivieren",
-    "turnOn": "Schalte die Kamera ein",
-    "turnOff": "Schalte die Kamera aus"
+    "disable": "Kamera deaktivieren"
   },
   "audioDetect": {
     "enable": "Audioerkennung aktivieren",
@@ -164,8 +162,7 @@
     "autotracking": "Autotracking",
     "audioDetection": "Audioerkennung",
     "title": "{{camera}} Einstellungen",
-    "transcription": "Audio Transkription",
-    "camera": "Kamera"
+    "transcription": "Audio Transkription"
   },
   "history": {
     "label": "Historisches Filmmaterial zeigen"

web/public/locales/de/views/motionSearch.json

@@ -24,9 +24,7 @@
         "points_one": "{{count}} Punkt",
         "points_other": "{{count}} Punkte",
         "undo": "Letzten Schritt rückgängig machen",
-        "reset": "Polygon zurücksetzen",
-        "drawMode": "ziehen",
-        "moveMode": "bewegen"
+        "reset": "Polygon zurücksetzen"
     },
     "motionHeatmapLabel": "Bewegungs-Heatmap",
     "dialog": {

web/public/locales/de/views/settings.json

@@ -16,8 +16,7 @@
     "globalConfig": "Grundeinstellungen - Frigate",
     "cameraConfig": "Kameraeinstellungen - Frigate",
     "maintenance": "Wartung - Frigate",
-    "profiles": "Profile - Frigate",
-    "detectorsAndModel": "Sensoren und Modell – Frigate"
+    "profiles": "Profile - Frigate"
   },
   "menu": {
     "ui": "Benutzeroberfläche",
@@ -32,7 +31,7 @@
     "enrichments": "Erkennungsfunktionen",
     "triggers": "Auslöser",
     "roles": "Rollen",
-    "cameraManagement": "Kamera Verwaltung",
+    "cameraManagement": "Verwaltung",
     "cameraReview": "Überprüfung",
     "system": "System",
     "general": "allgemein",
@@ -93,8 +92,7 @@
     "uiSettings": "Benutzeroberfläche Einstellung",
     "profiles": "Profile",
     "systemGo2rtcStreams": "go2rtc-streams",
-    "maintenance": "Wartung",
-    "systemDetectorsAndModel": "Detektoren und Modell"
+    "maintenance": "Wartung"
   },
   "dialog": {
     "unsavedChanges": {
@@ -730,8 +728,7 @@
     "notificationUnavailable": {
       "title": "Benachrichtigungen nicht verfügbar",
       "desc": "Web Push Benachrichtigungen erfordern einen sicheren Kontext (<code>https://…</code>). Das ist eine Vorgabe des Browsers. Greife auf Frigate gesichert zu um Benachrichtigungen zu nutzen.",
-      "documentation": "Dokumentation lesen",
-      "descPwa": "Unter iOS sind Web-Push-Benachrichtigungen nur verfügbar, wenn Frigate auf Ihrem Startbildschirm installiert ist. Öffnen Sie das Menü <strong>Teilen</strong>, wählen Sie <strong>Zum Startbildschirm hinzufügen</strong> und öffnen Sie Frigate über das neue Symbol, um dieses Gerät für Benachrichtigungen zu registrieren."
+      "documentation": "Dokumentation lesen"
     },
     "cameras": {
       "desc": "Wähle aus für welche Kameras Benachrichtigungen aktiviert werden sollen.",
@@ -803,7 +800,7 @@
       "cameras": "Kameras",
       "loading": "Lade Model Informationen…",
       "error": "Model Informationen laden fehlgeschlagen",
-      "availableModels": "Verfügbare Frigate+ Modelle",
+      "availableModels": "Verfügbare Modelle",
       "loadingAvailableModels": "Lade verfügbare Modelle…",
       "baseModel": "Basis Model",
       "title": "Model Informationen",
@@ -828,8 +825,7 @@
       "currentModel": "Aktuelles Modell",
       "otherModels": "Anderes Modell",
       "configuration": "Konfiguration"
-    },
-    "changeInDetectorsAndModel": "Modell wechseln"
+    }
   },
   "enrichments": {
     "birdClassification": {
@@ -1137,7 +1133,7 @@
         "brands": {
           "reolink-rtsp": "Reolink RTSP wird nicht empfohlen. Es wird empfohlen, http in den Kameraeinstellungen zu aktivieren und den Kamera-Assistenten neu zu starten."
         },
-        "customUrlRtspRequired": "Benutzerdefinierte URLs müssen mit „rtsp://“ oder \"rtsps://\" beginnen. Für Nicht-RTSP-Kamerastreams ist eine manuelle Konfiguration erforderlich."
+        "customUrlRtspRequired": "Benutzerdefinierte URLs müssen mit „rtsp://“ beginnen. Für Nicht-RTSP-Kamerastreams ist eine manuelle Konfiguration erforderlich."
       },
       "docs": {
         "reolink": "https://docs.frigate.video/configuration/camera_specific.html#reolink-cameras"
@@ -1357,41 +1353,19 @@
     "selectCamera": "Wähle eine Kamera",
     "backToSettings": "Zurück zu Kameraeinstellungen",
     "streams": {
-      "title": "Kamerastatus und Details",
+      "title": "Kameras aktivieren / deaktivieren",
       "desc": "Deaktiviere eine Kamera vorübergehend, bis Frigate neu gestartet wird. Deaktivierung einer Kamera stoppt die Verarbeitung der Streams dieser Kamera durch Frigate vollständig. Erkennung, Aufzeichnung und Debugging sind dann nicht mehr verfügbar. <br /> <em>Hinweis: Dies deaktiviert nicht die go2rtc restreams.</em>",
       "enableLabel": "Aktivierte Kameras",
       "enableDesc": "</em>Eine aktivierte Kamera vorübergehend deaktivieren, bis Frigate neu gestartet wird. Durch das Deaktivieren einer Kamera wird die Verarbeitung der Streams dieser Kamera durch Frigate vollständig unterbrochen. Erkennung, Aufzeichnung und Fehlerbehebung stehen dann nicht mehr zur Verfügung.<br /><em> Hinweis: go2rtc-Restreams werden dadurch nicht deaktiviert.</em>",
       "disableLabel": "Deaktivierte Kameras",
       "disableDesc": "Aktivieren Sie eine Kamera, die derzeit in der Benutzeroberfläche nicht sichtbar und in der Konfiguration deaktiviert ist. Nach der Aktivierung ist ein Neustart von Frigate erforderlich.",
-      "enableSuccess": "{{cameraName}} wurde aktiviert. Starte Frigate neu, um die Änderung zu übernehmen.",
+      "enableSuccess": "{{cameraName}} wurde in der Konfiguration aktiviert. Starte Frigate neu, um die Änderungen zu übernehmen.",
       "friendlyName": {
         "edit": "Anzeigenamen der Kamera bearbeiten",
         "title": "Anzeigenamen bearbeiten",
         "description": "Legen Sie den Anzeigenamen fest, der für diese Kamera in der gesamten Benutzeroberfläche von „Frigate“ angezeigt wird. Lassen Sie das Feld leer, um die Kamera-ID zu verwenden.",
         "rename": "Umbenennen"
-      },
-      "reorderHandle": "Zum Neuanordnen ziehen",
-      "saving": "Speichern…",
-      "saved": "gespeichert",
-      "details": {
-        "edit": "Kameradaten bearbeiten",
-        "title": "Kameradaten bearbeiten",
-        "description": "Aktualisieren Sie den Anzeigenamen und die externe URL, die für diese Kamera in der gesamten Frigate-Benutzeroberfläche verwendet werden.",
-        "friendlyNameLabel": "Display Name",
-        "friendlyNameHelp": "Der in der Benutzeroberfläche von „Frigate“ für diese Kamera angezeigte Spitzname. Lassen Sie das Feld leer, um die Kamera-ID zu verwenden.",
-        "webuiUrlLabel": "URL der Web-Benutzeroberfläche",
-        "webuiUrlHelp": "URL, um die Web-Benutzeroberfläche der Kamera direkt aus der Debug-Ansicht aufzurufen. Lassen Sie das Feld leer, um den Link zu deaktivieren.",
-        "webuiUrlInvalid": "Es muss sich um eine gültige URL handeln (z. B. https://example.com)."
-      },
-      "label": "Kamerazustand",
-      "description": "Legen Sie den Betriebszustand für jede Kamera fest.<br /><br /><strong>Ein</strong>: Streams werden normal verarbeitet.<br /><strong>Aus</strong>: Die Verarbeitung wird vorübergehend angehalten. Diese Einstellung bleibt bei einem Neustart von Frigate nicht erhalten.<br /><strong>Deaktiviert</strong>: Die Verarbeitung wird beendet und die Änderung in Ihrer Konfiguration gespeichert. Um eine deaktivierte Kamera wieder zu aktivieren, ist ein Neustart erforderlich.<br /><br /><em>Hinweis: Die Deaktivierung hat keine Auswirkungen auf go2rtc-Restreams.</em><br /><br />Ziehen Sie den Griff, um die Reihenfolge der aktiven Kameras in der Benutzeroberfläche anzupassen, einschließlich des Live-Dashboards und der Dropdown-Menüs zur Kameraauswahl.",
-      "disabledSubheading": "In der Konfiguration deaktiviert",
-      "status": {
-        "on": "Eingeschaltet",
-        "off": "Ausgeschaltet",
-        "disabled": "Deaktiviert"
-      },
-      "disableSuccess": "{{cameraName}} wurde deaktiviert und in der Konfiguration gespeichert."
+      }
     },
     "cameraConfig": {
       "add": "Kamera hinzufügen",
@@ -1437,107 +1411,20 @@
     "profiles": {
       "title": "Profilkameraumschaltungen",
       "selectLabel": "Profil auswählen",
-      "description": "Legen Sie fest, welche Kameras bei der Aktivierung eines Profils ein- oder ausgeschaltet werden. Kameras, die auf „Übernehmen“ eingestellt sind, behalten ihren Standardzustand bei.",
+      "description": "Legen Sie fest, welche Kameras bei der Aktivierung eines Profils aktiviert oder deaktiviert werden sollen. Kameras, für die „Übernehmen“ eingestellt ist, behalten ihren ursprünglichen Aktivierungsstatus bei.",
       "inherit": "Erben",
       "enabled": "Aktiviert",
-      "disabled": "Deaktiviert",
-      "on": "Eingeschaltet",
-      "off": "Ausgeschaltet"
+      "disabled": "Deaktiviert"
     },
     "cameraType": {
-      "title": "Kamera Art",
-      "label": "Kamera Art",
+      "title": "Kamerytyp",
+      "label": "Kameratyp",
       "description": "Legen Sie den Kameratyp für jede Kamera fest. Spezielle LPR-Kameras sind Kameras mit leistungsstarkem optischen Zoom, um Kennzeichen von weit entfernten Fahrzeugen zu erfassen. Für die meisten Kameras sollte der normale Kameratyp verwendet werden, es sei denn, die Kamera ist speziell für LPR vorgesehen und verfügt über einen stark fokussierten Blickwinkel auf die Kennzeichen.",
       "normal": "Normal",
       "dedicatedLpr": "Spezielles LPR-System",
       "saveSuccess": "Der Kameratyp für {{cameraName}} wurde aktualisiert. Starte Frigate neu, um die Änderungen zu übernehmen."
     },
-    "description": "Fügen Sie Kameras hinzu, bearbeiten und löschen Sie sie, steuern Sie den Status jeder einzelnen Kamera und konfigurieren Sie profil- und kameratypabhängige Übersteuerungen. Um Streams, Erkennung, Bewegung und andere kameraspezifische Einstellungen zu konfigurieren, wählen Sie den entsprechenden Abschnitt unter „Kamerakonfiguration“ aus.",
-    "clone": {
-      "sectionTitle": "Einstellungen klonen",
-      "sectionDescription": "Konfiguration von einer Kamera auf eine andere oder eine neue Kamera kopieren.",
-      "button": "Einstellungen klonen",
-      "title": "Kameraeinstellungen kopieren",
-      "description": "Kopieren Sie die Konfiguration einer Kamera auf eine oder mehrere andere Kameras oder auf eine neue Kamera. Die Identitätsdaten (Name, Anzeigename, URL der Web-Benutzeroberfläche, Anzeigereihenfolge) werden dabei nicht kopiert.",
-      "source": {
-        "label": "Quellkamera",
-        "placeholder": "Wählen Sie eine Quellkamera aus",
-        "required": "Wählen Sie eine Quellkamera aus"
-      },
-      "target": {
-        "legend": "Ziel",
-        "newRadio": "Neue Kamera",
-        "newNameLabel": "Kamera Name",
-        "newNamePlaceholder": "z. B. back_door oder Back Door",
-        "newNameRequired": "Kamera Name ist erforderlich",
-        "newNameInvalid": "ungültiger Kamera Name",
-        "newNameCollision": "Eine Kamera mit diesem Namen gibt es bereits",
-        "newStreamsForced": "Streams werden bei einer neuen Kamera immer kopiert.",
-        "existingCamerasRadio": "Vorhandene Kameras",
-        "allCameras": "Alle Kameras",
-        "existingPlaceholder": "Wählen Sie mindestens eine Kamera aus",
-        "existingDisabled": "Es gibt keine weiteren Kameras, auf die kopiert werden kann"
-      },
-      "categories": {
-        "legend": "Zu klonende Einstellungen",
-        "description": "Wählen Sie aus, welche Einstellungen von der Quellkamera kopiert werden sollen.",
-        "selectAll": "Alle auswählen",
-        "selectNone": "Keine auswählen",
-        "resetDefaults": "Auf Standardwerte zurücksetzen",
-        "general": "Allgemeines",
-        "spatial": "Räumliche Rahmenbedingungen",
-        "streams": "Streams",
-        "spatialWarningTitle": "Auflösungsdiskrepanz",
-        "spatialWarning": "Die Quellkamera {{srcCamera}} hat eine andere Auflösung ({{srcWidth}}×{{srcHeight}}) als: {{cameras}}. Die Polygone sind möglicherweise nicht auf diese Kameras ausgerichtet. Diese Standardeinstellungen sind deaktiviert; aktivieren Sie sie, um die Daten unverändert zu kopieren.",
-        "restartHint": "Neustart erforderlich",
-        "items": {
-          "record": "Aufnahme",
-          "snapshots": "Momentaufnahmen",
-          "motion": "Bewegungserkennung",
-          "objects": "Objekte",
-          "audio": "Tonerkennung",
-          "audio_transcription": "Audio-Transkription",
-          "notifications": "Benachrichtigungen",
-          "birdseye": "Birdseye",
-          "mqtt": "MQTT",
-          "timestamp_style": "Format für Zeitstempel",
-          "onvif": "ONVIF",
-          "lpr": "Kennzeichenerkennung",
-          "face_recognition": "Gesichtserkennung",
-          "semantic_search": "Semantische Suche",
-          "genai": "Generative AI",
-          "type": "Kameratyp (Standard / speziell für Kennzeichenerkennung)",
-          "profiles": "Profile",
-          "detect": "Abmessungen ermitteln",
-          "zones": "Zonen",
-          "motion_mask": "Bewegungsmaske",
-          "object_masks": "Objektmaske",
-          "ffmpeg_live": "Stream-URLs und Rollen",
-          "review": "Rezension"
-        }
-      },
-      "footer": {
-        "restartNeeded": "Für einige Änderungen ist ein Neustart erforderlich.",
-        "liveOnly": "Alle Änderungen werden sofort wirksam, ohne dass ein Neustart erforderlich ist.",
-        "submit": "Klon",
-        "submitting": "Klonen…",
-        "changeCount_one": "Die Änderung von {{count}} wird übernommen",
-        "changeCount_other": "Die Änderungen von {{count}} werden übernommen"
-      },
-      "toast": {
-        "success": "Einstellungen wurden auf {{cameraName}} kopiert",
-        "successWithRestart": "Die Einstellungen wurden auf {{cameraName}} kopiert. Starte Frigate neu, um alle Änderungen zu übernehmen.",
-        "successMulti_one": "Einstellungen wurden auf {{count}} Kamera kopiert",
-        "successMulti_other": "Einstellungen wurden auf {{count}} Kameras kopiert",
-        "successMultiWithRestart_one": "Die Einstellungen wurden auf die Kamera {{count}} kopiert. Starte Frigate neu, um alle Änderungen zu übernehmen.",
-        "successMultiWithRestart_other": "Die Einstellungen wurden auf {{count}} Kameras kopiert. Starten Sie Frigate neu, um alle Änderungen zu übernehmen.",
-        "partialFailure": "{{successCount}} Abschnitte wurden angewendet; '{{failedSection}}' ist fehlgeschlagen: {{errorMessage}}",
-        "partialFailureMulti": "{{successCount}} Kamera(s) wurden kopiert; bei {{failed}} ist ein Fehler aufgetreten: {{errorMessage}}",
-        "newCameraPartialFailure": "Die Kamera {{cameraName}} wurde erstellt, einige Einstellungen konnten jedoch nicht kopiert werden: {{errorMessage}}",
-        "sourceMissing": "Die Quellkamera existiert nicht mehr",
-        "submitError": "Das Klonen der Kamera ist fehlgeschlagen: {{errorMessage}}"
-      }
-    }
+    "description": "Fügen Sie Kameras hinzu, bearbeiten und löschen Sie sie, legen Sie fest, welche Kameras aktiviert sind, und konfigurieren Sie profil- und kameratypabhängige Übersteuerungen. Um Streams, Erkennung, Bewegung und andere kameraspezifische Einstellungen zu konfigurieren, wählen Sie den entsprechenden Abschnitt unter „Kamerakonfiguration“ aus."
   },
   "cameraReview": {
     "title": "Kamera-Einstellungen überprüfen",
@@ -1886,39 +1773,9 @@
       "platePlaceholder": "Kennzeichen oder regulärer Ausdruck"
     },
     "genaiModel": {
-      "placeholder": "Modell auswählen oder eingeben…",
-      "search": "Modell suchen oder eingeben…",
-      "noModels": "Keine Modelle verfügbar",
-      "available": "Verfügbare Modelle",
-      "useCustom": "Verwende „{{value}}“",
-      "refresh": "Modelle aktualisieren",
-      "probeFailed": "Das Abrufen der Modelle ist fehlgeschlagen",
-      "fetchedModels": "Modellliste erfolgreich abgerufen"
-    },
-    "semanticSearchModelSize": {
-      "notApplicable": "Gilt nicht für GenAI-Anbieter"
-    },
-    "liveStreams": {
-      "streamNameLabel": "Streamname",
-      "streamNamePlaceholder": "z. B. Haupt-HD-Stream",
-      "go2rtcStreamLabel": "go2rtc stream",
-      "go2rtcStreamPlaceholder": "Wählen Sie einen go2rtc-Stream aus",
-      "go2rtcStreamSearch": "Suchen Sie nach einem Streamnamen oder geben Sie ihn ein…",
-      "noGo2rtcStreams": "Es sind keine go2rtc-Streams konfiguriert",
-      "availableStreams": "Verfügbare Streams",
-      "useCustom": "Verwende „{{value}}“",
-      "addStream": "Stream hinzufügen"
-    },
-    "ptzPresets": {
-      "placeholder": "Wählen Sie eine Voreinstellung aus oder geben Sie eine ein...",
-      "search": "Suchen oder eine Voreinstellung eingeben...",
-      "noPresets": "Es sind keine Voreinstellungen verfügbar",
-      "available": "Kamera-Voreinstellungen",
-      "useCustom": "Verwende „{{value}}“"
-    },
-    "defaultRole": {
-      "admin": "Admin",
-      "viewer": "Betrachter"
+      "placeholder": "Modell auswählen…",
+      "search": "Modell suchen…",
+      "noModels": "Keine Modelle verfügbar"
     }
   },
   "globalConfig": {
@@ -1952,9 +1809,7 @@
     "saveAllSuccess_other": "Alle {{count}} Abschnitte wurden erfolgreich gespeichert.",
     "saveAllPartial_one": "{{successCount}} von {{totalCount}} Abschnitt wurden gespeichert. {{failCount}} sind fehlgeschlagen.",
     "saveAllPartial_other": "{{successCount}} von {{totalCount}} Abschnitten wurden gespeichert. {{failCount}} sind fehlgeschlagen.",
-    "saveAllFailure": "Es konnten nicht alle Abschnitte gespeichert werden.",
-    "saveAllSuccessRestartRequired_one": "Der Abschnitt {{count}} wurde erfolgreich gespeichert. Starte Frigate neu, um die Änderungen zu übernehmen.",
-    "saveAllSuccessRestartRequired_other": "Alle {{count}} Abschnitte wurden erfolgreich gespeichert. Starte Frigate neu, um die Änderungen zu übernehmen."
+    "saveAllFailure": "Es konnten nicht alle Abschnitte gespeichert werden."
   },
   "profiles": {
     "title": "Profile",
@@ -2041,18 +1896,8 @@
       "audioMp3": "Transcode zu MP3",
       "audioExclude": "Ausschließen",
       "hardwareNone": "Keine Hardwarebeschleunigung",
-      "hardwareAuto": "Automatisch (empfohlen)",
-      "hardwareVaapi": "VAAPI",
-      "hardwareCuda": "CUDA",
-      "hardwareV4l2m2m": "V4L2 M2M",
-      "hardwareDxva2": "DXVA2",
-      "hardwareVideotoolbox": "VideoToolbox",
-      "addVideoCodec": "Videocodec hinzufügen",
-      "addAudioCodec": "Audio-Codec hinzufügen",
-      "removeCodec": "Codec entfernen"
-    },
-    "streamNumber": "Stream {{index}}",
-    "sourceNumber": "Quelle {{index}}"
+      "hardwareAuto": "Automatische Hardwarebeschleunigung"
+    }
   },
   "onvif": {
     "profileAuto": "Auto",
@@ -2080,9 +1925,7 @@
     },
     "detect": {
       "fpsGreaterThanFive": "Es wird nicht empfohlen, den Wert für die FPS-Erkennung auf mehr als 5 zu setzen. Höhere Werte können zu Leistungseinbußen führen und bieten keinerlei Vorteile.",
-      "disabled": "Die Objekterkennung ist deaktiviert. Momentaufnahmen, Überprüfungselemente und Erweiterungsfunktionen wie Gesichtserkennung, Kennzeichenerkennung und generative KI funktionieren nicht.",
-      "resolutionShouldBeMultipleOfFour": "Um optimale Ergebnisse zu erzielen, sollten Breite und Höhe ein Vielfaches von 4 sein. Andere gerade Werte können zu visuellen Artefakten oder leichten Verzerrungen im Erkennungsstrom führen.",
-      "aspectRatioMismatch": "Die von Ihnen eingegebene Breite und Höhe stimmen nicht mit dem Seitenverhältnis Ihrer aktuell erkannten Auflösung überein. Dies kann zu einem gestreckten oder verzerrten Bild führen."
+      "disabled": "Die Objekterkennung ist deaktiviert. Momentaufnahmen, Überprüfungselemente und Erweiterungsfunktionen wie Gesichtserkennung, Kennzeichenerkennung und generative KI funktionieren nicht."
     },
     "faceRecognition": {
       "globalDisabled": "Die Gesichtserkennungserweiterung muss aktiviert sein, damit die Gesichtserkennungsfunktionen bei dieser Kamera funktionieren.",
@@ -2112,9 +1955,6 @@
     },
     "semanticSearch": {
       "jinav2SmallModelSize": "Die „kleine“ Variante des Jina V2-Modells verursacht hohe RAM- und Inferenzkosten. Es wird das „große“ Modell mit einer dedizierten GPU empfohlen."
-    },
-    "onvif": {
-      "autotrackingNoZones": "Für die automatische Verfolgung ist mindestens eine Zone erforderlich. Definieren Sie unter „Masken / Zonen“ eine Zone für diese Kamera und legen Sie diese anschließend unten als erforderliche Zone fest."
     }
   },
   "birdseye": {
@@ -2122,13 +1962,6 @@
       "objects": "Objekte",
       "motion": "Bewegung",
       "continuous": "Fortlaufend"
-    },
-    "cameraOrder": {
-      "label": "Kamerabestellung",
-      "description": "Ziehe die Kameras per Drag & Drop, um ihre Reihenfolge im Birdseye-Layout festzulegen.",
-      "reorderHandle": "Zum Neuanordnen ziehen",
-      "saving": "Wird gespeichert…",
-      "saved": "gespeichert"
     }
   },
   "retainMode": {
@@ -2178,35 +2011,5 @@
   "modelSize": {
     "small": "klein",
     "large": "groß"
-  },
-  "menuDot": {
-    "overrideGlobal": "Dieser Abschnitt überschreibt die globale Konfiguration",
-    "overrideProfile": "Dieser Abschnitt wird durch das Profil {{profile}} überschrieben",
-    "unsaved": "Dieser Abschnitt enthält ungespeicherte Änderungen"
-  },
-  "detectorsAndModel": {
-    "title": "Detektoren und Modell",
-    "description": "Konfigurieren Sie das Detektor-Backend, das die Objekterkennung ausführt, sowie das dafür verwendete Modell. Änderungen werden gemeinsam gespeichert, sodass Detektor und Modell synchron bleiben.",
-    "cardTitles": {
-      "detector": "Detektor-Hardware",
-      "model": "Erkennungsmodell"
-    },
-    "tabs": {
-      "plus": "Frigate+",
-      "custom": "Benutzerdefiniertes Modell"
-    },
-    "mismatch": {
-      "warning": "Das aktuelle Frigate+-Modell „{{model}}“ erfordert den {{required}}-Detektor. Wählen Sie unten ein kompatibles Modell aus oder wechseln Sie vor dem Speichern zu „Benutzerdefiniertes Modell“."
-    },
-    "plusModel": {
-      "requiresDetector": "Voraussetzung: {{detector}}",
-      "noModelSelected": "Wählen Sie ein Modell der Frigate+ aus"
-    },
-    "toast": {
-      "saveSuccess": "Detektoren und Modelleinstellungen wurden gespeichert. Starten Sie Frigate neu, um die Änderungen zu übernehmen.",
-      "saveError": "Das Speichern der Detektor- und Modelleinstellungen ist fehlgeschlagen"
-    },
-    "unsavedChanges": "Nicht gespeicherte Änderungen an Detektor und Modell",
-    "restartRequired": "Neustart erforderlich (Detektor oder Modell geändert)"
   }
 }

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

@@ -2,10 +2,7 @@
   "group": {
     "label": "Camera Groups",
     "add": "Add Camera Group",
-    "showAll": "Show all camera groups",
-    "showLess": "Show less",
     "edit": "Edit Camera Group",
-    "editGroups": "Edit Camera Groups",
     "delete": {
       "label": "Delete Camera Group",
       "confirm": {

web/public/locales/en/config/cameras.json

@@ -862,10 +862,6 @@
     "dashboard": {
       "label": "Show in UI",
       "description": "Toggle whether this camera is visible everywhere in the Frigate UI. Disabling this will require manually editing the config to view this camera in the UI again."
-    },
-    "review": {
-      "label": "Show in review",
-      "description": "Toggle whether this camera is visible in review (the review page and its camera filter, motion review, and the history view)."
     }
   },
   "webui_url": {

web/public/locales/en/config/global.json

@@ -1546,10 +1546,6 @@
     "dashboard": {
       "label": "Show in UI",
       "description": "Toggle whether this camera is visible everywhere in the Frigate UI. Disabling this will require manually editing the config to view this camera in the UI again."
-    },
-    "review": {
-      "label": "Show in review",
-      "description": "Toggle whether this camera is visible in review (the review page and its camera filter, motion review, and the history view)."
     }
   },
   "onvif": {

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

@@ -8,7 +8,6 @@
   "searchCancelled": "Search cancelled",
   "cancelSearch": "Cancel",
   "searching": "Search in progress.",
-  "scanning": "Scanning {{time}}",
   "searchComplete": "Search complete",
   "noResultsYet": "Run a search to find motion changes in the selected region",
   "noChangesFound": "No pixel changes detected in the selected region",
@@ -43,11 +42,13 @@
   "settings": {
     "title": "Search Settings",
     "parallelMode": "Parallel mode",
-    "parallelModeDesc": "Scan multiple recording ranges at the same time (faster; uses more decoding resources)",
+    "parallelModeDesc": "Scan multiple recording segments at the same time (faster, but significantly more CPU intensive)",
     "threshold": "Sensitivity Threshold",
     "thresholdDesc": "Lower values detect smaller changes (1-255)",
     "minArea": "Minimum Change Area",
-    "minAreaDesc": "Minimum size of a single moving region, as a percentage of the region of interest",
+    "minAreaDesc": "Minimum percentage of the region of interest that must change to be considered significant",
+    "frameSkip": "Frame Skip",
+    "frameSkipDesc": "Process every Nth frame. Set this to your camera's frame rate to process one frame per second (e.g. 5 for a 5 FPS camera, 30 for a 30 FPS camera). Higher values will be faster, but may miss short motion events.",
     "maxResults": "Maximum Results",
     "maxResultsDesc": "Stop after this many matching timestamps"
   },
@@ -71,8 +72,6 @@
     "framesDecoded": "Frames decoded",
     "wallTime": "Search time",
     "segmentErrors": "Segment errors",
-    "seconds": "{{seconds}}s",
-    "minutesSeconds": "{{minutes}}m {{seconds}}s",
-    "scanSummary": "{{segments}} segments · {{time}}"
+    "seconds": "{{seconds}}s"
   }
 }

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

@@ -492,16 +492,12 @@
       "details": {
         "edit": "Edit camera details",
         "title": "Edit Camera Details",
-        "description": "Update the display name, external URL, and visibility used for this camera throughout the Frigate UI.",
+        "description": "Update the display name and external URL used for this camera throughout the Frigate UI.",
         "friendlyNameLabel": "Display Name",
         "friendlyNameHelp": "Friendly name shown for this camera throughout the Frigate UI. Leave blank to use the camera ID.",
         "webuiUrlLabel": "Camera Web UI URL",
         "webuiUrlHelp": "URL to visit the camera's web UI directly from the Debug view. Leave blank to disable the link.",
-        "webuiUrlInvalid": "Must be a valid URL (e.g., https://example.com).",
-        "dashboardLabel": "Show on Live dashboard",
-        "dashboardHelp": "Show this camera on the Live dashboard.",
-        "reviewLabel": "Show in Review",
-        "reviewHelp": "Show this camera in Review, including the camera filter, motion review, and the history view."
+        "webuiUrlInvalid": "Must be a valid URL (e.g., https://example.com)."
       }
     },
     "cameraConfig": {
@@ -1915,11 +1911,7 @@
       "fpsGreaterThanFive": "Setting the detect FPS higher than 5 is not recommended. Higher values may cause performance issues and will not provide any benefit.",
       "disabled": "Object detection is disabled. Snapshots, review items, and enrichments such as face recognition, license plate recognition, and Generative AI will not function.",
       "resolutionShouldBeMultipleOfFour": "For best results, detect width and height should be multiples of 4. Other even values may produce visual artifacts or slight distortion in the detect stream.",
-      "aspectRatioMismatch": "The width and height you've entered don't match the aspect ratio of your current detect resolution. This may produce a stretched or distorted image.",
-      "maxFramesSet": "Setting max frames overrides default behavior and disables stationary object tracking. There are very few situations where this is needed, use with caution.",
-      "squareResolution": "A square detect resolution is unusual. The detect width and height should match your camera's aspect ratio (for example, 16:9), not the dimensions of the object detection model. A mismatched aspect ratio can stretch the image and reduce detection accuracy.",
-      "resolutionHigh": "This detect resolution is higher than recommended and may cause increased resource usage without improving detection accuracy. A detect resolution at or below 1080p is recommended for most cameras.",
-      "globalResolutionMultipleCameras": "A global detect resolution is set while multiple cameras are configured. Unless all cameras share the same resolution and aspect ratio, the detect width and height should be defined per camera to match each camera's native aspect ratio."
+      "aspectRatioMismatch": "The width and height you've entered don't match the aspect ratio of your current detect resolution. This may produce a stretched or distorted image."
     },
     "objects": {
       "genaiNoDescriptionsProvider": "You must configure a GenAI provider with the 'descriptions' role for descriptions to be generated."

web/public/locales/es/common.json

@@ -155,8 +155,7 @@
       "id": "Bahasa Indonesia (Indonesio)",
       "ur": "اردو (Urdu)",
       "hr": "Hrvatski (Croata)",
-      "bs": "Bosanski (Bosnio)",
-      "zhHant": "繁體中文 (Chino Tradicional)"
+      "bs": "Bosanski (Bosnio)"
     },
     "appearance": "Apariencia",
     "darkMode": {
@@ -334,8 +333,5 @@
     "internalID": "La ID interna que usa Frigate en la configuración y en la base de datos"
   },
   "no_items": "No hay elementos",
-  "validation_errors": "Errores de validación",
-  "credentialField": {
-    "savedPlaceholder": "Guardado — déjalo en blanco para mantener el actual"
-  }
+  "validation_errors": "Errores de validación"
 }

web/public/locales/es/components/camera.json

@@ -68,10 +68,7 @@
         "stream": "Transmitir"
       },
       "birdseye": "Vista Aérea"
-    },
-    "showAll": "Mostrar todos los grupos de cámaras",
-    "showLess": "Mostrar menos",
-    "editGroups": "Editar grupos de cámaras"
+    }
   },
   "debug": {
     "options": {

web/public/locales/es/components/dialog.json

@@ -71,7 +71,7 @@
         "endTimeMustAfterStartTime": "La hora de finalización debe ser posterior a la hora de inicio"
       },
       "success": "Exportación iniciada con éxito. Ver el archivo en la página exportaciones.",
-      "view": "Vista",
+      "view": "Ver",
       "queued": "Exportación en cola. Consulta el progreso en la página de exportaciones.",
       "batchSuccess_one": "Se inició 1 exportación. Abriendo el caso ahora.",
       "batchSuccess_many": "Se iniciaron {{count}} exportaciones. Abriendo el caso ahora.",
@@ -101,7 +101,7 @@
     },
     "queueing": "Poniendo la exportación en cola…",
     "tabs": {
-      "export": "Una Cámara",
+      "export": "Cámara única",
       "multiCamera": "Multicámara"
     },
     "multiCamera": {

web/public/locales/es/components/player.json

@@ -48,6 +48,5 @@
     }
   },
   "livePlayerRequiredIOSVersion": "Se requiere iOS 17.1 o superior para este tipo de transmisión en vivo.",
-  "noRecordingsFoundForThisTime": "No se encontraron grabaciones para este momento",
-  "cameraOff": "La cámara está apagada"
+  "noRecordingsFoundForThisTime": "No se encontraron grabaciones para este momento"
 }

web/public/locales/es/config/cameras.json

@@ -1,6 +1,6 @@
 {
     "name": {
-        "label": "Nombre de Cámara",
+        "label": "Nombre de cámara",
         "description": "El nombre de la cámara es necesario"
     },
     "enabled": {
@@ -28,19 +28,19 @@
         },
         "filters": {
             "label": "Filtros de audio",
-            "description": "Ajustes de filtro por tipo de audio, como umbrales de confianza utilizados para reducir los falsos positivos.",
+            "description": "Ajustes de filtrado por tipo de audio, como umbrales de confianza utilizados para reducir los falsos positivos.",
             "threshold": {
                 "label": "Confianza mínima de audio",
                 "description": "Umbral mínimo de confianza para que se cuente el evento de audio."
             }
         },
         "enabled_in_config": {
-            "description": "Indica si la detección de audio estaba habilitada originalmente en el archivo de configuración estático.",
-            "label": "Estado de audio original"
+            "description": "Indica si la detección de audio estaba habilitada originalmente en el archivo de configuración estática.",
+            "label": "Estado original del audio"
         },
         "num_threads": {
             "label": "Hilos de detección",
-            "description": "Número de hilos a usar para procesamiento de detección de audio."
+            "description": "Número de hilos que se utilizarán para el procesamiento de la detección de audio."
         }
     },
     "friendly_name": {
@@ -349,10 +349,10 @@
         }
     },
     "audio_transcription": {
-        "description": "Configuración para la transcripción de audio en directo y de voz utilizada para eventos y subtítulos en directo.",
+        "description": "Configuración para la transcripción de audio en vivo y de voz, utilizada para eventos y subtítulos en tiempo real.",
         "enabled": {
             "label": "Habilitar transcripción",
-            "description": "Habilitar o deshabilitar la transcripción de eventos de audio activados manualmente."
+            "description": "Activar o desactivar la transcripción de eventos de audio activados manualmente."
         },
         "label": "Transcripción de audio",
         "enabled_in_config": {
@@ -360,7 +360,7 @@
         },
         "live_enabled": {
             "label": "Transcripción en directo",
-            "description": "Habilitar la transcripción en directo del audio a medida que se recibe."
+            "description": "Activar la transcripción en directo del audio a medida que se recibe."
         }
     },
     "motion": {
@@ -608,10 +608,6 @@
         "order": {
             "label": "Orden en la interfaz",
             "description": "Orden numérico usado para ordenar la cámara en la interfaz (panel predeterminado y listas); los números más altos aparecen más tarde."
-        },
-        "review": {
-            "label": "Mostrar en Revisión",
-            "description": "Activa o desactiva si esta cámara es visible en Revisión (la página de Revisión y su filtro de cámaras, la revisión de movimiento y la vista de historial)."
         }
     },
     "live": {
@@ -724,7 +720,7 @@
     },
     "birdseye": {
         "description": "Configuración para la vista compuesta Birdseye, que combina las transmisiones de múltiples cámaras en una sola vista.",
-        "label": "Birdseye",
+        "label": "Vista general",
         "enabled": {
             "label": "Habilitar Birdseye",
             "description": "Habilita o deshabilita la función de vista Birdseye."
@@ -900,7 +896,7 @@
     },
     "timestamp_style": {
         "label": "Estilo de marca de tiempo",
-        "description": "Opciones de estilo para las marcas de tiempo aplicadas a las instantáneas y a la vista de depuración.",
+        "description": "Opciones de estilo para marcas de tiempo integradas aplicadas a grabaciones e instantáneas.",
         "position": {
             "label": "Posición de marca de tiempo",
             "description": "Posición de la marca de tiempo en la imagen (tl/tr/bl/br)."

web/public/locales/es/config/global.json

@@ -43,19 +43,19 @@
         },
         "filters": {
             "label": "Filtros de audio",
-            "description": "Ajustes de filtro por tipo de audio, como umbrales de confianza utilizados para reducir los falsos positivos.",
+            "description": "Ajustes de filtrado por tipo de audio, como umbrales de confianza utilizados para reducir los falsos positivos.",
             "threshold": {
                 "label": "Confianza mínima de audio",
                 "description": "Umbral mínimo de confianza para que se cuente el evento de audio."
             }
         },
         "enabled_in_config": {
-            "description": "Indica si la detección de audio estaba habilitada originalmente en el archivo de configuración estático.",
-            "label": "Estado de audio original"
+            "description": "Indica si la detección de audio estaba habilitada originalmente en el archivo de configuración estática.",
+            "label": "Estado original del audio"
         },
         "num_threads": {
             "label": "Hilos de detección",
-            "description": "Número de hilos a usar para procesamiento de detección de audio."
+            "description": "Número de hilos que se utilizarán para el procesamiento de la detección de audio."
         },
         "description": "Ajustes para la detección de eventos basada en audio en todas las cámaras; se pueden sobrescribir por cámara."
     },
@@ -610,7 +610,7 @@
             "description": "Carácter usado para separar varios valores proporcionados en las cabeceras del proxy."
         },
         "default_role": {
-            "description": "Rol predeterminado asignado a los usuarios autenticados mediante proxy cuando no se aplica ninguna asignación de roles.",
+            "description": "Rol predeterminado asignado a los usuarios autenticados por proxy cuando no se aplica ningún mapeo de roles (administrador o espectador).",
             "label": "Rol predeterminado"
         },
         "description": "Configuración para integrar Frigate detrás de un proxy inverso que transmite encabezados de usuario autenticados.",
@@ -696,7 +696,7 @@
         }
     },
     "audio_transcription": {
-        "description": "Configuración para la transcripción de audio en directo y de voz utilizada para eventos y subtítulos en directo.",
+        "description": "Configuración para la transcripción de audio en vivo y de voz, utilizada para eventos y subtítulos en tiempo real.",
         "language": {
             "description": "Código de idioma utilizado para la transcripción/traducción (por ejemplo, 'es' para Español). Consulte https://whisper-api.com/docs/languages/ para ver los códigos de idioma compatibles.",
             "label": "Idioma de transcripción"
@@ -708,7 +708,7 @@
         "label": "Transcripción de audio",
         "live_enabled": {
             "label": "Transcripción en directo",
-            "description": "Habilitar la transcripción en directo del audio a medida que se recibe."
+            "description": "Activar la transcripción en directo del audio a medida que se recibe."
         },
         "device": {
             "label": "Dispositivo de transcripción",
@@ -1010,10 +1010,6 @@
         "order": {
             "label": "Orden en la interfaz",
             "description": "Orden numérico usado para ordenar la cámara en la interfaz (panel predeterminado y listas); los números más altos aparecen más tarde."
-        },
-        "review": {
-            "label": "Mostrar en Revisión",
-            "description": "Activa o desactiva si esta cámara se muestra en Revisión (la página de Revisión y su filtro de cámaras, la revisión de movimiento y la vista de historial)."
         }
     },
     "live": {
@@ -1194,7 +1190,7 @@
                 "description": "Factor de escala usado por el calculador de diseño (rango de 1.0 a 5.0)."
             }
         },
-        "label": "Birdseye",
+        "label": "Vista general",
         "enabled": {
             "label": "Habilitar Birdseye",
             "description": "Habilita o deshabilita la función de vista Birdseye."

web/public/locales/es/config/validation.json

@@ -28,8 +28,5 @@
         "header_map": {
             "roleHeaderRequired": "Se requiere el encabezado de rol cuando hay mapeos de roles configurados."
         }
-    },
-    "detect": {
-        "dimensionMustBeEven": "Debe ser un número par."
     }
 }

web/public/locales/es/views/chat.json

@@ -65,8 +65,5 @@
         "active": "Razonando…",
         "show": "Mostrar razonamiento",
         "hide": "Ocultar razonamiento"
-    },
-    "thinking": {
-        "toggle": "Alternar razonamiento"
     }
 }

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

@@ -36,14 +36,14 @@
       "trainingFailed": "El entrenamiento del modelo ha fallado. Revisa los registros de Frigate para más detalles.",
       "updateModelFailed": "Fallo al actualizar modelo: {{errorMessage}}",
       "trainingFailedToStart": "No se pudo iniciar el entrenamiento del modelo: {{errorMessage}}",
-      "renameCategoryFailed": "Fallo al renombrar la clase:{{errorMessage}}",
+      "renameCategoryFailed": "Falló el renombrado de la clase: {{errorMessage}}",
       "reclassifyFailed": "Error al reclasificar la imagen: {{errorMessage}}"
     }
   },
   "deleteCategory": {
     "title": "Borrar Clase",
     "desc": "¿Esta seguro de que quiere borrar la clase {{name}}? Esto borrará permanentemente todas las imágenes asociadas y requerirá reentrenar el modelo.",
-    "minClassesTitle": "No se puede borrar la clase",
+    "minClassesTitle": "No se puede Borrar la Clase",
     "minClassesDesc": "Un modelo de clasificación debe tener al menos 2 clases. Añade otra clase antes de borrar esta."
   },
   "deleteModel": {
@@ -66,7 +66,7 @@
     "noNewImages": "No hay imágenes nuevas para entrenar. Clasifica antes más imágenes del conjunto de datos."
   },
   "details": {
-    "scoreInfo": "La puntuación representa la confianza promedio de la clasificación en todas las detecciones de este objeto.",
+    "scoreInfo": "La puntuación representa la confianza media de clasificación en todas las detecciones de este objeto.",
     "unknown": "Desconocido",
     "none": "Ninguno"
   },
@@ -166,7 +166,7 @@
     "desc_other": "¿Está seguro de que quiere eliminar {{count}} imágenes de {{dataset}}? Esta acción no puede ser deshecha y requerirá reentrenar el modelo."
   },
   "deleteTrainImages": {
-    "title": "Borrar imágenes de entrenamiento",
+    "title": "Borrar Imágenes de Entrenamiento",
     "desc_one": "¿Está seguro de que quiere eliminar {{count}} imagen? Esta acción no puede ser deshecha.",
     "desc_many": "¿Está seguro de que quiere eliminar {{count}} imágenes? Esta acción no puede ser deshecha.",
     "desc_other": "¿Está seguro de que quiere eliminar {{count}} imágenes? Esta acción no puede ser deshecha."