Adjust centering for no overrides

Add fields to primary prompt
Simplify JSON since not all providers see or use this the same
2026-07-20 18:59:01 +03:00 · 2026-05-08 12:30:41 -06:00 · 2026-05-08 08:15:49 -06:00 · 2026-05-08 08:15:49 -06:00 · 2026-05-08 08:13:45 -05:00 · 2026-05-07 21:05:34 -06:00
82 changed files with 3749 additions and 895 deletions
@@ -13,7 +13,7 @@ ARG ROCM

 RUN apt update -qq && \
    apt install -y wget gpg && \
-    wget -O rocm.deb https://repo.radeon.com/amdgpu-install/7.2/ubuntu/jammy/amdgpu-install_7.2.70200-1_all.deb && \
+    wget -O rocm.deb https://repo.radeon.com/amdgpu-install/7.2.3/ubuntu/jammy/amdgpu-install_7.2.3.70203-1_all.deb && \
    apt install -y ./rocm.deb && \
    apt update && \
    apt install -qq -y rocm
@@ -78,6 +78,10 @@ ENV MIGRAPHX_DISABLE_MIOPEN_FUSION=1
 ENV MIGRAPHX_DISABLE_SCHEDULE_PASS=1
 ENV MIGRAPHX_DISABLE_REDUCE_FUSION=1
 ENV MIGRAPHX_ENABLE_HIPRTC_WORKAROUNDS=1
+ENV MIOPEN_CUSTOM_CACHE_DIR=/config/model_cache/migraphx
+ENV MIOPEN_USER_DB_PATH=/config/model_cache/migraphx
+ENV AMD_COMGR_CACHE=1
+ENV AMD_COMGR_CACHE_DIR=/config/model_cache/migraphx

 COPY --from=rocm-dist / /

@@ -1 +1 @@
-onnxruntime-migraphx @ https://github.com/NickM-27/frigate-onnxruntime-rocm/releases/download/v7.2.0/onnxruntime_migraphx-1.23.1-cp311-cp311-linux_x86_64.whl
+onnxruntime-migraphx @ https://github.com/NickM-27/frigate-onnxruntime-rocm/releases/download/v7.2.3-1/onnxruntime_migraphx-1.24.4-cp311-cp311-linux_x86_64.whl
@@ -1,5 +1,5 @@
 variable "ROCM" {
-  default = "7.2.0"
+  default = "7.2.3"
 }
 variable "HSA_OVERRIDE_GFX_VERSION" {
  default = ""
@@ -136,90 +136,32 @@ ffmpeg:
 </TabItem>
 </ConfigTabs>

-### Configuring Intel GPU Stats in Docker
+### Configuring Intel GPU Stats

-Additional configuration is needed for the Docker container to be able to access the `intel_gpu_top` command for GPU stats. There are two options:
+Frigate reads Intel GPU utilization directly from the kernel's per-client DRM usage counters exposed at `/proc/<pid>/fdinfo/<fd>`. This requires:

-1. Run the container as privileged.
-2. Add the `CAP_PERFMON` capability (note: you might need to set the `perf_event_paranoid` low enough to allow access to the performance event system.)
+- Linux kernel **5.19 or newer** for the `i915` driver, or any release of the `xe` driver.
+- Frigate running with permission to read other processes' fdinfo. Running as root inside the container (the default) satisfies this; non-root setups may need `CAP_SYS_PTRACE`.

-#### Run as privileged
+No `intel_gpu_top` binary, `CAP_PERFMON`, privileged mode, or `perf_event_paranoid` tuning is required.

-This method works, but it gives more permissions to the container than are actually needed.
+#### Stats for SR-IOV or specific devices

-##### Docker Compose - Privileged
-
-```yaml
-services:
-  frigate:
-    ...
-    image: ghcr.io/blakeblackshear/frigate:stable
-    # highlight-next-line
-    privileged: true
-```
-
-##### Docker Run CLI - Privileged
-
-```bash {4}
-docker run -d \
-  --name frigate \
-  ...
-  --privileged \
-  ghcr.io/blakeblackshear/frigate:stable
-```
-
-#### CAP_PERFMON
-
-Only recent versions of Docker support the `CAP_PERFMON` capability. You can test to see if yours supports it by running: `docker run --cap-add=CAP_PERFMON hello-world`
-
-##### Docker Compose - CAP_PERFMON
-
-```yaml {5,6}
-services:
-  frigate:
-    ...
-    image: ghcr.io/blakeblackshear/frigate:stable
-    cap_add:
-      - CAP_PERFMON
-```
-
-##### Docker Run CLI - CAP_PERFMON
-
-```bash {4}
-docker run -d \
-  --name frigate \
-  ...
-  --cap-add=CAP_PERFMON \
-  ghcr.io/blakeblackshear/frigate:stable
-```
-
-#### perf_event_paranoid
-
-_Note: This setting must be changed for the entire system._
-
-For more information on the various values across different distributions, see https://askubuntu.com/questions/1400874/what-does-perf-paranoia-level-four-do.
-
-Depending on your OS and kernel configuration, you may need to change the `/proc/sys/kernel/perf_event_paranoid` kernel tunable. You can test the change by running `sudo sh -c 'echo 2 >/proc/sys/kernel/perf_event_paranoid'` which will persist until a reboot. Make it permanent by running `sudo sh -c 'echo kernel.perf_event_paranoid=2 >> /etc/sysctl.d/local.conf'`
-
-#### Stats for SR-IOV or other devices
-
-When using virtualized GPUs via SR-IOV, you need to specify the device path to use to gather stats from `intel_gpu_top`. This example may work for some systems using SR-IOV:
+If the host has more than one Intel GPU (e.g. an iGPU plus a discrete GPU, or SR-IOV virtual functions), pin stats collection to a specific device by setting `intel_gpu_device` to either its PCI bus address or a DRM card/render-node path:

 ```yaml
 telemetry:
  stats:
-    intel_gpu_device: "sriov"
+    intel_gpu_device: "0000:00:02.0"
 ```

-For other virtualized GPUs, try specifying the direct path to the device instead:
-
 ```yaml
 telemetry:
  stats:
-    intel_gpu_device: "drm:/dev/dri/card0"
+    intel_gpu_device: "/dev/dri/card1"
 ```

-If you are passing in a device path, make sure you've passed the device through to the container.
+When passing a device path, make sure the device is also passed through to the container.

 ## AMD-based CPUs

@@ -72,7 +72,7 @@ This does not affect using hardware for accelerating other tasks such as [semant

 # Officially Supported Detectors

-Frigate provides a number of builtin detector types. By default, Frigate will use a single CPU detector. Other detectors may require additional configuration as described below. When using multiple detectors they will run in dedicated processes, but pull from a common queue of detection requests from across all cameras.
+Frigate provides a number of builtin detector types. By default, Frigate will use a single OpenVINO detector running on the CPU. Other detectors may require additional configuration as described below. When using multiple detectors they will run in dedicated processes, but pull from a common queue of detection requests from across all cameras.

 ## Edge TPU Detector

@@ -1022,12 +1022,12 @@ detectors:

 ### ONNX Supported Models

-| Model                         | Nvidia GPU | AMD GPU | Notes                                               |
-| ----------------------------- | ---------- | ------- | --------------------------------------------------- |
-| [YOLOv9](#yolo-v3-v4-v7-v9-2) | ✅         | ✅      | Supports CUDA Graphs for optimal Nvidia performance |
-| [RF-DETR](#rf-detr)           | ✅         | ❌      | Supports CUDA Graphs for optimal Nvidia performance |
-| [YOLO-NAS](#yolo-nas-1)       | ⚠️         | ⚠️      | Not supported by CUDA Graphs                        |
-| [YOLOX](#yolox-1)             | ✅         | ✅      | Supports CUDA Graphs for optimal Nvidia performance |
+| Model                                | Nvidia GPU | AMD GPU | Notes                                               |
+| ------------------------------------ | ---------- | ------- | --------------------------------------------------- |
+| [YOLOv9](#yolo-v3-v4-v7-v9-2)        | ✅         | ✅      | Supports CUDA Graphs for optimal Nvidia performance |
+| [RF-DETR](#rf-detr)                  | ✅         | ⚠️      | Supports CUDA Graphs for optimal Nvidia performance |
+| [YOLO-NAS](#yolo-nas-1)              | ⚠️         | ⚠️      | Not supported by CUDA Graphs                        |
+| [YOLOX](#yolox-1)                    | ✅         | ✅      | Supports CUDA Graphs for optimal Nvidia performance |
 | [D-FINE / DEIMv2](#d-fine--deimv2-1) | ⚠️         | ❌      | Not supported by CUDA Graphs                        |

 There is no default model provided, the following formats are supported:
@@ -223,10 +223,11 @@ Apple Silicon can not run within a container, so a ZMQ proxy is utilized to comm

 With the [ROCm](../configuration/object_detectors.md#amdrocm-gpu-detector) detector Frigate can take advantage of many discrete AMD GPUs.

-| Name      | YOLOv9 Inference Time       | YOLO-NAS Inference Time   |
-| --------- | --------------------------- | ------------------------- |
-| AMD 780M  | t-320: ~ 14 ms s-320: 20 ms | 320: ~ 25 ms 640: ~ 50 ms |
-| AMD 8700G |                             | 320: ~ 20 ms 640: ~ 40 ms |
+| Name           | YOLOv9 Inference Time       | YOLO-NAS Inference Time   | RF-DETR Inference Time |
+| -------------- | --------------------------- | ------------------------- | ---------------------- |
+| AMD 780M       | t-320: ~ 14 ms s-320: 20 ms | 320: ~ 25 ms 640: ~ 50 ms |                        |
+| AMD 8700G      |                             | 320: ~ 20 ms 640: ~ 40 ms |                        |
+| AMD 9060XT 16G | t-320: ~ 4 ms  s-320: 5 ms  | 320: ~ 6 ms               | Nano-320: ~ 90 ms      |

 ## Community Supported Detectors

@@ -192,7 +192,7 @@ cameras:

 ### Step 4: Configure detectors

-By default, Frigate will use a single CPU detector.
+By default, Frigate will use a single OpenVINO detector running on the CPU.

 In many cases, the integrated graphics on Intel CPUs provides sufficient performance for typical Frigate setups. If you have an Intel processor, you can follow the configuration below.

@@ -16815,9 +16815,9 @@
      }
    },
    "node_modules/postcss": {
-      "version": "8.5.13",
-      "resolved": "https://registry.npmjs.org/postcss/-/postcss-8.5.13.tgz",
-      "integrity": "sha512-qif0+jGGZoLWdHey3UFHHWP0H7Gbmsk8T5VEqyYFbWqPr1XqvLGBbk/sl8V5exGmcYJklJOhOQq1pV9IcsiFag==",
+      "version": "8.5.6",
+      "resolved": "https://registry.npmjs.org/postcss/-/postcss-8.5.6.tgz",
+      "integrity": "sha512-3Ybi1tAuwAP9s0r1UQ2J4n5Y0G05bJkpUIO0/bI9MhwmD70S5aTWbXGBwxHrelT+XM1k6dM0pk+SwNkpTRN7Pg==",
      "funding": [
        {
          "type": "opencollective",
@@ -12,7 +12,7 @@ devices:
  - id: "intel"
    name: "Intel Device"
    description: "Intel GPU / NPU"
-    icon: '<svg xmlns="http://www.w3.org/2000/svg"width="41" height="25" viewBox="0 0 50 12" fill="none" "viewBox="0 0 51 20"fill="none"><g clip-path="url(#clip0_5432_16259)"><path d="M4.2299 0.667969H0.605469V4.27284H4.2299V0.667969Z"fill="#00C7FD"></path><path d="M4.13917 19.4491V6.4536H0.695312V19.4363H4.13917V19.4491ZM26.9434 19.5774V16.3959C26.4404 16.3959 26.0147 16.3702 25.7052 16.3189C25.344 16.2676 25.0732 16.1393 24.8926 15.9597C24.712 15.7801 24.5959 15.5235 24.5314 15.1771C24.4798 14.8564 24.454 14.4331 24.454 13.9199V9.39138H26.9434V6.4536H24.454V1.39908H21.0102V13.9584C21.0102 15.0232 21.1005 15.9212 21.2811 16.6396C21.4616 17.3452 21.7712 17.9225 22.1968 18.3587C22.6225 18.7948 23.19 19.1027 23.8736 19.2952C24.5701 19.4876 25.4472 19.5774 26.492 19.5774H26.9434ZM46.6521 19.4491V0.398438H43.2082V19.4491H46.6521ZM17.6953 7.73647C16.7408 6.71018 15.3994 6.19703 13.6968 6.19703C12.8713 6.19703 12.1103 6.3638 11.4396 6.69735C10.756 7.03089 10.1885 7.49273 9.72414 8.08285L9.54357 8.3266V8.10851V6.4536H6.15131V19.4363H9.56936V12.5216V12.9963C9.56936 12.9193 9.56936 12.8423 9.56936 12.7653C9.60806 11.5466 9.90472 10.6486 10.4722 10.0713C11.0785 9.45553 11.8137 9.14764 12.6521 9.14764C13.6452 9.14764 14.4062 9.45553 14.9093 10.0456C15.3994 10.6358 15.6574 11.4696 15.6574 12.5344V12.5729V19.4363H19.127V12.0726C19.1399 10.2252 18.6498 8.76277 17.6953 7.73647ZM41.4282 12.9321C41.4282 11.9956 41.2606 11.1233 40.9381 10.3022C40.6028 9.49401 40.1384 8.7756 39.558 8.15982C38.9647 7.54404 38.2553 7.06938 37.4298 6.723C36.6043 6.37663 35.6885 6.20986 34.6953 6.20986C33.7537 6.20986 32.8638 6.38946 32.0383 6.73583C31.2128 7.09504 30.4905 7.5697 29.8842 8.17265C29.278 8.7756 28.7879 9.49401 28.4396 10.3151C28.0785 11.1361 27.9108 12.0213 27.9108 12.9578C27.9108 13.8943 28.0785 14.7795 28.4138 15.6005C28.7492 16.4215 29.2264 17.1399 29.8197 17.7429C30.4131 18.3458 31.1483 18.8333 31.9996 19.1797C32.8509 19.5389 33.7924 19.7185 34.7985 19.7185C37.7135 19.7185 39.5193 18.3972 40.6027 17.1656L38.1263 15.2926C37.6103 15.9084 36.3721 16.7422 34.8243 16.7422C33.8569 16.7422 33.0572 16.5242 32.451 16.0752C31.8448 15.639 31.432 15.0232 31.2128 14.2663L31.1741 14.1508H41.4282V12.9321ZM31.1999 11.739C31.1999 10.7897 32.2962 9.13481 34.6566 9.12198C37.017 9.12198 38.1263 10.7769 38.1263 11.7262L31.1999 11.739ZM50.5732 17.807C50.5087 17.6531 50.4184 17.5248 50.3023 17.4093C50.1862 17.2939 50.0572 17.2041 49.9024 17.1399C49.7477 17.0758 49.58 17.0373 49.4123 17.0373C49.2317 17.0373 49.077 17.0758 48.9222 17.1399C48.7674 17.2041 48.6384 17.2939 48.5223 17.4093C48.4062 17.5248 48.316 17.6531 48.2515 17.807C48.187 17.961 48.1483 18.1278 48.1483 18.2945C48.1483 18.4741 48.187 18.6281 48.2515 18.782C48.316 18.936 48.4062 19.0642 48.5223 19.1797C48.6384 19.2952 48.7674 19.385 48.9222 19.4491C49.077 19.5133 49.2446 19.5517 49.4123 19.5517C49.5929 19.5517 49.7477 19.5133 49.9024 19.4491C50.0572 19.385 50.1862 19.2952 50.3023 19.1797C50.4184 19.0642 50.5087 18.936 50.5732 18.782C50.6377 18.6281 50.6763 18.4613 50.6763 18.2945C50.6763 18.1278 50.6377 17.961 50.5732 17.807ZM50.3668 18.705C50.3152 18.8333 50.2378 18.9488 50.1475 19.0386C50.0572 19.1284 49.9411 19.2054 49.8122 19.2567C49.6832 19.308 49.5542 19.3337 49.3994 19.3337C49.2575 19.3337 49.1157 19.308 48.9867 19.2567C48.8577 19.2054 48.7416 19.1284 48.6513 19.0386C48.561 18.9488 48.4836 18.8333 48.432 18.705C48.3804 18.5768 48.3546 18.4485 48.3546 18.2945C48.3546 18.1534 48.3804 18.0123 48.432 17.884C48.4836 17.7557 48.561 17.6403 48.6513 17.5505C48.7416 17.4607 48.8577 17.3837 48.9867 17.3324C49.1157 17.2811 49.2446 17.2554 49.3994 17.2554C49.5413 17.2554 49.6832 17.2811 49.8122 17.3324C49.9411 17.3837 50.0572 17.4607 50.1475 17.5505C50.2378 17.6403 50.3152 17.7557 50.3668 17.884C50.4184 18.0123 50.4442 18.1406 50.4442 18.2945C50.4442 18.4485 50.4184 18.5768 50.3668 18.705ZM49.6445 18.41C49.7477 18.3972 49.8251 18.3587 49.8895 18.2945C49.954 18.2304 49.9927 18.1406 49.9927 18.0123C49.9927 17.8712 49.954 17.7685 49.8638 17.6916C49.7864 17.6146 49.6445 17.5761 49.4768 17.5761H48.9093V19.0258H49.1801V18.4356H49.3736L49.7348 19.0258H50.0185L49.6445 18.41ZM49.5026 18.1919C49.4639 18.1919 49.4252 18.1919 49.3736 18.1919H49.1801V17.7814H49.3736C49.4123 17.7814 49.451 17.7814 49.5026 17.7814C49.5413 17.7814 49.58 17.7942 49.6187 17.807C49.6574 17.8199 49.6832 17.8455 49.6961 17.8712C49.7219 17.8968 49.7219 17.9353 49.7219 17.9866C49.7219 18.0379 49.709 18.0764 49.6961 18.1021C49.6703 18.1278 49.6445 18.1534 49.6187 18.1662C49.58 18.1791 49.5413 18.1919 49.5026 18.1919Z"fill="currentColor"></path></g><defs><clipPath id="clip0_5432_16259"><rect width="51"height="20"fill="white"></rect></clipPath></defs></svg>'
+    icon: '<svg xmlns="http://www.w3.org/2000/svg" width="41" height="25" viewBox="0 0 51 20" fill="none"><g clip-path="url(#clip0_5432_16259)"><path d="M4.2299 0.667969H0.605469V4.27284H4.2299V0.667969Z"fill="#00C7FD"></path><path d="M4.13917 19.4491V6.4536H0.695312V19.4363H4.13917V19.4491ZM26.9434 19.5774V16.3959C26.4404 16.3959 26.0147 16.3702 25.7052 16.3189C25.344 16.2676 25.0732 16.1393 24.8926 15.9597C24.712 15.7801 24.5959 15.5235 24.5314 15.1771C24.4798 14.8564 24.454 14.4331 24.454 13.9199V9.39138H26.9434V6.4536H24.454V1.39908H21.0102V13.9584C21.0102 15.0232 21.1005 15.9212 21.2811 16.6396C21.4616 17.3452 21.7712 17.9225 22.1968 18.3587C22.6225 18.7948 23.19 19.1027 23.8736 19.2952C24.5701 19.4876 25.4472 19.5774 26.492 19.5774H26.9434ZM46.6521 19.4491V0.398438H43.2082V19.4491H46.6521ZM17.6953 7.73647C16.7408 6.71018 15.3994 6.19703 13.6968 6.19703C12.8713 6.19703 12.1103 6.3638 11.4396 6.69735C10.756 7.03089 10.1885 7.49273 9.72414 8.08285L9.54357 8.3266V8.10851V6.4536H6.15131V19.4363H9.56936V12.5216V12.9963C9.56936 12.9193 9.56936 12.8423 9.56936 12.7653C9.60806 11.5466 9.90472 10.6486 10.4722 10.0713C11.0785 9.45553 11.8137 9.14764 12.6521 9.14764C13.6452 9.14764 14.4062 9.45553 14.9093 10.0456C15.3994 10.6358 15.6574 11.4696 15.6574 12.5344V12.5729V19.4363H19.127V12.0726C19.1399 10.2252 18.6498 8.76277 17.6953 7.73647ZM41.4282 12.9321C41.4282 11.9956 41.2606 11.1233 40.9381 10.3022C40.6028 9.49401 40.1384 8.7756 39.558 8.15982C38.9647 7.54404 38.2553 7.06938 37.4298 6.723C36.6043 6.37663 35.6885 6.20986 34.6953 6.20986C33.7537 6.20986 32.8638 6.38946 32.0383 6.73583C31.2128 7.09504 30.4905 7.5697 29.8842 8.17265C29.278 8.7756 28.7879 9.49401 28.4396 10.3151C28.0785 11.1361 27.9108 12.0213 27.9108 12.9578C27.9108 13.8943 28.0785 14.7795 28.4138 15.6005C28.7492 16.4215 29.2264 17.1399 29.8197 17.7429C30.4131 18.3458 31.1483 18.8333 31.9996 19.1797C32.8509 19.5389 33.7924 19.7185 34.7985 19.7185C37.7135 19.7185 39.5193 18.3972 40.6027 17.1656L38.1263 15.2926C37.6103 15.9084 36.3721 16.7422 34.8243 16.7422C33.8569 16.7422 33.0572 16.5242 32.451 16.0752C31.8448 15.639 31.432 15.0232 31.2128 14.2663L31.1741 14.1508H41.4282V12.9321ZM31.1999 11.739C31.1999 10.7897 32.2962 9.13481 34.6566 9.12198C37.017 9.12198 38.1263 10.7769 38.1263 11.7262L31.1999 11.739ZM50.5732 17.807C50.5087 17.6531 50.4184 17.5248 50.3023 17.4093C50.1862 17.2939 50.0572 17.2041 49.9024 17.1399C49.7477 17.0758 49.58 17.0373 49.4123 17.0373C49.2317 17.0373 49.077 17.0758 48.9222 17.1399C48.7674 17.2041 48.6384 17.2939 48.5223 17.4093C48.4062 17.5248 48.316 17.6531 48.2515 17.807C48.187 17.961 48.1483 18.1278 48.1483 18.2945C48.1483 18.4741 48.187 18.6281 48.2515 18.782C48.316 18.936 48.4062 19.0642 48.5223 19.1797C48.6384 19.2952 48.7674 19.385 48.9222 19.4491C49.077 19.5133 49.2446 19.5517 49.4123 19.5517C49.5929 19.5517 49.7477 19.5133 49.9024 19.4491C50.0572 19.385 50.1862 19.2952 50.3023 19.1797C50.4184 19.0642 50.5087 18.936 50.5732 18.782C50.6377 18.6281 50.6763 18.4613 50.6763 18.2945C50.6763 18.1278 50.6377 17.961 50.5732 17.807ZM50.3668 18.705C50.3152 18.8333 50.2378 18.9488 50.1475 19.0386C50.0572 19.1284 49.9411 19.2054 49.8122 19.2567C49.6832 19.308 49.5542 19.3337 49.3994 19.3337C49.2575 19.3337 49.1157 19.308 48.9867 19.2567C48.8577 19.2054 48.7416 19.1284 48.6513 19.0386C48.561 18.9488 48.4836 18.8333 48.432 18.705C48.3804 18.5768 48.3546 18.4485 48.3546 18.2945C48.3546 18.1534 48.3804 18.0123 48.432 17.884C48.4836 17.7557 48.561 17.6403 48.6513 17.5505C48.7416 17.4607 48.8577 17.3837 48.9867 17.3324C49.1157 17.2811 49.2446 17.2554 49.3994 17.2554C49.5413 17.2554 49.6832 17.2811 49.8122 17.3324C49.9411 17.3837 50.0572 17.4607 50.1475 17.5505C50.2378 17.6403 50.3152 17.7557 50.3668 17.884C50.4184 18.0123 50.4442 18.1406 50.4442 18.2945C50.4442 18.4485 50.4184 18.5768 50.3668 18.705ZM49.6445 18.41C49.7477 18.3972 49.8251 18.3587 49.8895 18.2945C49.954 18.2304 49.9927 18.1406 49.9927 18.0123C49.9927 17.8712 49.954 17.7685 49.8638 17.6916C49.7864 17.6146 49.6445 17.5761 49.4768 17.5761H48.9093V19.0258H49.1801V18.4356H49.3736L49.7348 19.0258H50.0185L49.6445 18.41ZM49.5026 18.1919C49.4639 18.1919 49.4252 18.1919 49.3736 18.1919H49.1801V17.7814H49.3736C49.4123 17.7814 49.451 17.7814 49.5026 17.7814C49.5413 17.7814 49.58 17.7942 49.6187 17.807C49.6574 17.8199 49.6832 17.8455 49.6961 17.8712C49.7219 17.8968 49.7219 17.9353 49.7219 17.9866C49.7219 18.0379 49.709 18.0764 49.6961 18.1021C49.6703 18.1278 49.6445 18.1534 49.6187 18.1662C49.58 18.1791 49.5413 18.1919 49.5026 18.1919Z"fill="currentColor"></path></g><defs><clipPath id="clip0_5432_16259"><rect width="51"height="20"fill="white"></rect></clipPath></defs></svg>'
    imageTag: "stable"
    autoHardware:
      - "gpu"
@@ -5997,7 +5997,10 @@ paths:
      tags:
        - App
      summary: Start debug replay
-      description: Start a debug replay session from camera recordings.
+      description:
+        Start a debug replay session from camera recordings. Returns
+        immediately while clip generation runs as a background job; subscribe
+        to the 'debug_replay' job_state WS topic to track progress.
      operationId: start_debug_replay_debug_replay_start_post
      requestBody:
        required: true
@@ -6006,12 +6009,16 @@ paths:
            schema:
              $ref: "#/components/schemas/DebugReplayStartBody"
      responses:
-        "200":
+        "202":
          description: Successful Response
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/DebugReplayStartResponse"
+        "400":
+          description: Invalid camera, time range, or no recordings
+        "409":
+          description: A replay session is already active
        "422":
          description: Validation Error
          content:
@@ -6272,10 +6279,14 @@ components:
        replay_camera:
          type: string
          title: Replay Camera
+        job_id:
+          type: string
+          title: Job Id
      type: object
      required:
        - success
        - replay_camera
+        - job_id
      title: DebugReplayStartResponse
      description: Response for starting a debug replay session.
    DebugReplayStatusResponse:
@@ -499,6 +499,40 @@ def config_save(save_option: str, body: Any = Body(media_type="text/plain")):
        )


+def _restore_masked_camera_paths(config_data: dict, config: FrigateConfig) -> None:
+    """Substitute incoming `*:*` masked credentials with the in-memory ones.
+
+    The /config response masks ffmpeg input credentials, so the settings UI
+    sends the masked path back when sibling fields (e.g. hwaccel_args) are
+    edited.  Without this we'd write `rtsp://*:*@host` into YAML and lose
+    the real credentials.  Mutates `config_data` in place.
+    """
+    cameras = config_data.get("cameras")
+    if not isinstance(cameras, dict):
+        return
+
+    for camera_name, camera_data in cameras.items():
+        if not isinstance(camera_data, dict):
+            continue
+        inputs = camera_data.get("ffmpeg", {}).get("inputs")
+        if not isinstance(inputs, list):
+            continue
+        existing = config.cameras.get(camera_name)
+        if existing is None:
+            continue
+        existing_paths = [inp.path for inp in existing.ffmpeg.inputs]
+        for index, input_obj in enumerate(inputs):
+            if not isinstance(input_obj, dict):
+                continue
+            path = input_obj.get("path")
+            if not isinstance(path, str):
+                continue
+            if ("://*:*@" in path or "user=*&password=*" in path) and index < len(
+                existing_paths
+            ):
+                input_obj["path"] = existing_paths[index]
+
+
 def _config_set_in_memory(request: Request, body: AppConfigSetBody) -> JSONResponse:
    """Apply config changes in-memory only, without writing to YAML.

@@ -509,6 +543,7 @@ def _config_set_in_memory(request: Request, body: AppConfigSetBody) -> JSONRespo
    try:
        updates = {}
        if body.config_data:
+            _restore_masked_camera_paths(body.config_data, request.app.frigate_config)
            updates = flatten_config_data(body.config_data)
            updates = {k: ("" if v is None else v) for k, v in updates.items()}

@@ -615,6 +650,9 @@ def config_set(request: Request, body: AppConfigSetBody):
                if query_string:
                    updates = process_config_query_string(query_string)
                elif body.config_data:
+                    _restore_masked_camera_paths(
+                        body.config_data, request.app.frigate_config
+                    )
                    updates = flatten_config_data(body.config_data)
                    # Convert None values to empty strings for deletion (e.g., when deleting masks)
                    updates = {k: ("" if v is None else v) for k, v in updates.items()}
@@ -812,6 +812,11 @@ limiter = Limiter(key_func=get_remote_addr)
 )
@limiter.limit(limit_value=rateLimiter.get_limit)
 def login(request: Request, body: AppPostLoginBody):
+    if not request.app.frigate_config.auth.enabled:
+        return JSONResponse(
+            content={"message": "Authentication is disabled"}, status_code=404
+        )
+
    JWT_COOKIE_NAME = request.app.frigate_config.auth.cookie_name
    JWT_COOKIE_SECURE = request.app.frigate_config.auth.cookie_secure
    JWT_SESSION_LENGTH = request.app.frigate_config.auth.session_length
@@ -37,6 +37,7 @@ from frigate.api.defs.response.chat_response import (
 from frigate.api.defs.tags import Tags
 from frigate.api.event import events
 from frigate.config import FrigateConfig
+from frigate.config.ui import UnitSystemEnum
 from frigate.genai.utils import build_assistant_message_for_conversation
 from frigate.jobs.vlm_watch import (
    get_vlm_watch_job,
@@ -1301,6 +1302,7 @@ async def chat_completion(

    cameras_info = []
    config = request.app.frigate_config
+    has_speed_zone = False
    for camera_id in allowed_cameras:
        if camera_id not in config.cameras:
            continue
@@ -1311,6 +1313,10 @@ async def chat_completion(
            else camera_id.replace("_", " ").title()
        )
        zone_names = list(camera_config.zones.keys())
+        if not has_speed_zone:
+            has_speed_zone = any(
+                zone.distances for zone in camera_config.zones.values()
+            )
        if zone_names:
            cameras_info.append(
                f"  - {friendly_name} (ID: {camera_id}, zones: {', '.join(zone_names)})"
@@ -1326,6 +1332,13 @@ async def chat_completion(
            + "\n\nWhen users refer to cameras by their friendly name (e.g., 'Back Deck Camera'), use the corresponding camera ID (e.g., 'back_deck_cam') in tool calls."
        )

+    speed_units_section = ""
+    if has_speed_zone:
+        speed_unit = (
+            "mph" if config.ui.unit_system == UnitSystemEnum.imperial else "km/h"
+        )
+        speed_units_section = f"\n\nReport object speeds to the user in {speed_unit}."
+
    system_prompt = f"""You are a helpful assistant for Frigate, a security camera NVR system. You help users answer questions about their cameras, detected objects, and events.

 Current server local date and time: {current_date_str} at {current_time_str}
@@ -1337,7 +1350,7 @@ When users ask about "today", "yesterday", "this week", etc., use the current da
 When searching for objects or events, use ISO 8601 format for dates (e.g., {current_date_str}T00:00:00Z for the start of today).
 Always be accurate with time calculations based on the current date provided.

-When a user refers to a specific object they have seen or describe with identifying details ("that green car", "the person in the red jacket", "a package left today"), prefer the find_similar_objects tool over search_objects. Use search_objects first only to locate the anchor event, then pass its id to find_similar_objects. For generic queries like "show me all cars today", keep using search_objects. If a user message begins with [attached_event:<id>], treat that event id as the anchor for any similarity or "tell me more" request in the same message and call find_similar_objects with that id.{cameras_section}"""
+When a user refers to a specific object they have seen or describe with identifying details ("that green car", "the person in the red jacket", "a package left today"), prefer the find_similar_objects tool over search_objects. Use search_objects first only to locate the anchor event, then pass its id to find_similar_objects. For generic queries like "show me all cars today", keep using search_objects. If a user message begins with [attached_event:<id>], treat that event id as the anchor for any similarity or "tell me more" request in the same message and call find_similar_objects with that id.{cameras_section}{speed_units_section}"""

    conversation.append(
        {
@@ -10,6 +10,7 @@ from pydantic import BaseModel, Field

 from frigate.api.auth import require_role
 from frigate.api.defs.tags import Tags
+from frigate.jobs.debug_replay import start_debug_replay_job

 logger = logging.getLogger(__name__)

@@ -29,10 +30,17 @@ class DebugReplayStartResponse(BaseModel):

    success: bool
    replay_camera: str
+    job_id: str


 class DebugReplayStatusResponse(BaseModel):
-    """Response for debug replay status."""
+    """Response for debug replay status.
+
+    Returns only session-presence fields. Startup progress and error
+    details flow through the job_state WebSocket topic via the
+    debug_replay job (see frigate.jobs.debug_replay); the
+    Replay page subscribes there with useJobStatus("debug_replay").
+    """

    active: bool
    replay_camera: str | None = None
@@ -51,15 +59,32 @@ class DebugReplayStopResponse(BaseModel):
@router.post(
    "/debug_replay/start",
    response_model=DebugReplayStartResponse,
+    status_code=202,
+    responses={
+        400: {"description": "Invalid camera, time range, or no recordings"},
+        409: {"description": "A replay session is already active"},
+    },
    dependencies=[Depends(require_role(["admin"]))],
    summary="Start debug replay",
-    description="Start a debug replay session from camera recordings.",
+    description="Start a debug replay session from camera recordings. Returns "
+    "immediately while clip generation runs as a background job; subscribe "
+    "to the 'debug_replay' job_state WS topic to track progress.",
 )
 async def start_debug_replay(request: Request, body: DebugReplayStartBody):
-    """Start a debug replay session."""
+    """Start a debug replay session asynchronously."""
    replay_manager = request.app.replay_manager

-    if replay_manager.active:
+    try:
+        job_id = await asyncio.to_thread(
+            start_debug_replay_job,
+            source_camera=body.camera,
+            start_ts=body.start_time,
+            end_ts=body.end_time,
+            frigate_config=request.app.frigate_config,
+            config_publisher=request.app.config_publisher,
+            replay_manager=replay_manager,
+        )
+    except RuntimeError:
        return JSONResponse(
            content={
                "success": False,
@@ -67,38 +92,23 @@ async def start_debug_replay(request: Request, body: DebugReplayStartBody):
            },
            status_code=409,
        )
-
-    try:
-        replay_camera = await asyncio.to_thread(
-            replay_manager.start,
-            source_camera=body.camera,
-            start_ts=body.start_time,
-            end_ts=body.end_time,
-            frigate_config=request.app.frigate_config,
-            config_publisher=request.app.config_publisher,
-        )
    except ValueError:
-        logger.exception("Invalid parameters for debug replay start request")
+        logger.exception("Rejected debug replay start request")
        return JSONResponse(
            content={
                "success": False,
-                "message": "Invalid debug replay request parameters",
+                "message": "Invalid debug replay parameters",
            },
            status_code=400,
        )
-    except RuntimeError:
-        logger.exception("Error while starting debug replay session")
-        return JSONResponse(
-            content={
-                "success": False,
-                "message": "An internal error occurred while starting debug replay",
-            },
-            status_code=500,
-        )

-    return DebugReplayStartResponse(
-        success=True,
-        replay_camera=replay_camera,
+    return JSONResponse(
+        content={
+            "success": True,
+            "replay_camera": replay_manager.replay_camera_name,
+            "job_id": job_id,
+        },
+        status_code=202,
    )


@@ -118,12 +128,16 @@ def get_debug_replay_status(request: Request):

    if replay_manager.active and replay_camera:
        frame_processor = request.app.detected_frames_processor
-        frame = frame_processor.get_current_frame(replay_camera)
+        frame = (
+            frame_processor.get_current_frame(replay_camera)
+            if frame_processor is not None
+            else None
+        )

        if frame is not None:
            frame_time = frame_processor.get_current_frame_time(replay_camera)
            camera_config = request.app.frigate_config.cameras.get(replay_camera)
-            retry_interval = 10
+            retry_interval = 10.0

            if camera_config is not None:
                retry_interval = float(camera_config.ffmpeg.retry_interval or 10)
@@ -174,12 +174,10 @@ async def latest_frame(
    }
    quality_params = get_image_quality_params(extension.value, params.quality)

-    if camera_name in request.app.frigate_config.cameras:
+    camera_config = request.app.frigate_config.cameras.get(camera_name)
+    if camera_config is not None:
        frame = frame_processor.get_current_frame(camera_name, draw_options)
-        retry_interval = float(
-            request.app.frigate_config.cameras.get(camera_name).ffmpeg.retry_interval
-            or 10
-        )
+        retry_interval = float(camera_config.ffmpeg.retry_interval or 10)

        is_offline = False
        if frame is None or datetime.now().timestamp() > (
@@ -76,7 +76,7 @@ class CameraConfig(FrigateBaseModel):
    # Options with global fallback
    audio: AudioConfig = Field(
        default_factory=AudioConfig,
-        title="Audio events",
+        title="Audio detection",
        description="Settings for audio-based event detection for this camera.",
    )
    audio_transcription: CameraAudioTranscriptionConfig = Field(
@@ -41,8 +41,7 @@ class GenAIConfig(FrigateBaseModel):
        title="Model",
        description="The model to use from the provider for generating descriptions or summaries.",
    )
-    provider: GenAIProviderEnum | None = Field(
-        default=None,
+    provider: GenAIProviderEnum = Field(
        title="Provider",
        description="The GenAI provider to use (for example: ollama, gemini, openai).",
    )
@@ -121,7 +121,10 @@ class CameraConfigUpdateSubscriber:
        elif update_type == CameraConfigUpdateEnum.objects:
            config.objects = updated_config
        elif update_type == CameraConfigUpdateEnum.record:
+            old_enabled_in_config = config.record.enabled_in_config
            config.record = updated_config
+            if old_enabled_in_config != updated_config.enabled_in_config:
+                config.recreate_ffmpeg_cmds()
        elif update_type == CameraConfigUpdateEnum.review:
            config.review = updated_config
        elif update_type == CameraConfigUpdateEnum.review_genai:
@@ -26,6 +26,11 @@ class EnrichmentsDeviceEnum(str, Enum):
    CPU = "CPU"


+class ModelSizeEnum(str, Enum):
+    small = "small"
+    large = "large"
+
+
 class TriggerType(str, Enum):
    THUMBNAIL = "thumbnail"
    DESCRIPTION = "description"
@@ -53,13 +58,13 @@ class AudioTranscriptionConfig(FrigateBaseModel):
        title="Transcription language",
        description="Language code used for transcription/translation (for example 'en' for English). See https://whisper-api.com/docs/languages/ for supported language codes.",
    )
-    device: Optional[EnrichmentsDeviceEnum] = Field(
+    device: EnrichmentsDeviceEnum = Field(
        default=EnrichmentsDeviceEnum.CPU,
        title="Transcription device",
        description="Device key (CPU/GPU) to run the transcription model on. Only NVIDIA CUDA GPUs are currently supported for transcription.",
    )
-    model_size: str = Field(
-        default="small",
+    model_size: ModelSizeEnum = Field(
+        default=ModelSizeEnum.small,
        title="Model size",
        description="Model size to use for offline audio event transcription.",
    )
@@ -189,8 +194,8 @@ class SemanticSearchConfig(FrigateBaseModel):
                return v
        return v

-    model_size: str = Field(
-        default="small",
+    model_size: ModelSizeEnum = Field(
+        default=ModelSizeEnum.small,
        title="Model size",
        description="Select model size; 'small' runs on CPU and 'large' typically requires GPU.",
    )
@@ -253,8 +258,8 @@ class FaceRecognitionConfig(FrigateBaseModel):
        title="Enable face recognition",
        description="Enable or disable face recognition for all cameras; can be overridden per-camera.",
    )
-    model_size: str = Field(
-        default="small",
+    model_size: ModelSizeEnum = Field(
+        default=ModelSizeEnum.small,
        title="Model size",
        description="Model size to use for face embeddings (small/large); larger may require GPU.",
    )
@@ -335,8 +340,8 @@ class LicensePlateRecognitionConfig(FrigateBaseModel):
        title="Enable LPR",
        description="Enable or disable license plate recognition for all cameras; can be overridden per-camera.",
    )
-    model_size: str = Field(
-        default="small",
+    model_size: ModelSizeEnum = Field(
+        default=ModelSizeEnum.small,
        title="Model size",
        description="Model size used for text detection/recognition. Most users should use 'small'.",
    )
@@ -1,5 +1,6 @@
 from __future__ import annotations

+import io
 import json
 import logging
 import os
@@ -80,17 +81,40 @@ logger = logging.getLogger(__name__)

 yaml = YAML()

+DEFAULT_DETECTORS = {
+    "ov": {
+        "type": "openvino",
+        "device": "CPU",
+    }
+}
+DEFAULT_MODEL = {
+    "width": 300,
+    "height": 300,
+    "input_tensor": "nhwc",
+    "input_pixel_format": "bgr",
+    "path": "/openvino-model/ssdlite_mobilenet_v2.xml",
+    "labelmap_path": "/openvino-model/coco_91cl_bkgr.txt",
+}
+DEFAULT_DETECT_DIMENSIONS = {"width": 1280, "height": 720}
+
+
+def _render_default_yaml(data: dict) -> str:
+    buf = io.StringIO()
+    _yaml_writer = YAML()
+    _yaml_writer.indent(mapping=2, sequence=4, offset=2)
+    _yaml_writer.dump(data, buf)
+    return buf.getvalue()
+
+
 DEFAULT_CONFIG = f"""
 mqtt:
  enabled: False

+{_render_default_yaml({"detectors": DEFAULT_DETECTORS, "model": DEFAULT_MODEL})}
 cameras: {{}}  # No cameras defined, UI wizard should be used
 version: {CURRENT_CONFIG_VERSION}
 """

-DEFAULT_DETECTORS = {"cpu": {"type": "cpu"}}
-DEFAULT_DETECT_DIMENSIONS = {"width": 1280, "height": 720}
-
 # stream info handler
 stream_info_retriever = StreamInfoRetriever()

@@ -453,7 +477,7 @@ class FrigateConfig(FrigateBaseModel):
    cameras: Dict[str, CameraConfig] = Field(title="Cameras", description="Cameras")
    audio: AudioConfig = Field(
        default_factory=AudioConfig,
-        title="Audio events",
+        title="Audio detection",
        description="Settings for audio-based event detection for all cameras; can be overridden per-camera.",
    )
    birdseye: BirdseyeConfig = Field(
@@ -679,6 +703,9 @@ class FrigateConfig(FrigateBaseModel):
                    model_config["path"] = "/cpu_model.tflite"
                elif detector_config.type == "edgetpu":
                    model_config["path"] = "/edgetpu_model.tflite"
+                elif detector_config.type == "openvino":
+                    for default_key, default_value in DEFAULT_MODEL.items():
+                        model_config.setdefault(default_key, default_value)

            model = ModelConfig.model_validate(model_config)
            model.check_and_load_plus_model(self.plus_api, detector_config.type)
@@ -25,8 +25,8 @@ class StatsConfig(FrigateBaseModel):
    )
    intel_gpu_device: Optional[str] = Field(
        default=None,
-        title="SR-IOV device",
-        description="Device identifier used when treating Intel GPUs as SR-IOV to fix GPU stats.",
+        title="Intel GPU device",
+        description="PCI bus address or DRM device path (e.g. /dev/dri/card1) used to pin Intel GPU stats to a specific device when multiple are present.",
    )


@@ -2,7 +2,7 @@ from typing import Annotated

 from pydantic import BaseModel, ConfigDict, Field, StringConstraints

-ObservationItem = Annotated[str, StringConstraints(min_length=20, max_length=160)]
+ObservationItem = Annotated[str, StringConstraints(min_length=20, max_length=200)]


 class ReviewMetadata(BaseModel):
@@ -11,33 +11,22 @@ class ReviewMetadata(BaseModel):
    observations: list[ObservationItem] = Field(
        ...,
        min_length=3,
-        max_length=15,
-        description=(
-            "Enumerate the significant observations across all frames, in "
-            "chronological order, BEFORE composing the scene narrative. "
-            "Include the very start of the activity — for example, a vehicle "
-            "entering the frame or pulling into the driveway — even if it "
-            "lasts only a few frames and the rest of the clip is dominated "
-            "by a longer activity. Include each arrival, departure, motion "
-            "event, object handled, and notable change in position or state. "
-            "Each item is a single concrete fact written as a complete "
-            "sentence. Do not summarize, interpret, or assign meaning here — "
-            "that belongs in the scene field."
-        ),
-    )
-    title: str = Field(
-        max_length=80,
-        description="Under 10 words. Name the apparent purpose or outcome of the activity together with the location involved. Do not narrate or list the sequence of actions step by step.",
+        max_length=8,
+        description="Enumerate the significant observations across all frames, in chronological order.",
    )
    scene: str = Field(
        min_length=150,
        max_length=600,
        description="A chronological narrative of what happens from start to finish, drawing directly from the items in observations.",
    )
+    title: str = Field(
+        max_length=80,
+        description="Title for the activity.",
+    )
    shortSummary: str = Field(
        min_length=70,
-        max_length=120,
-        description="A brief 2-sentence summary of the scene, suitable for notifications.",
+        max_length=140,
+        description="A brief summary for the activity.",
    )
    confidence: float = Field(
        ge=0.0,
@@ -229,9 +229,10 @@ class FaceRealTimeProcessor(RealTimeProcessorApi):
                logger.debug(f"No person box available for {id}")
                return

-            rgb = cv2.cvtColor(frame, cv2.COLOR_YUV2RGB_I420)
+            # YuNet (cv2.FaceDetectorYN) is trained on BGR
+            bgr = cv2.cvtColor(frame, cv2.COLOR_YUV2BGR_I420)
            left, top, right, bottom = person_box
-            person = rgb[top:bottom, left:right]
+            person = bgr[top:bottom, left:right]
            face_box = self.__detect_face(person, self.face_config.detection_threshold)

            if not face_box:
@@ -250,11 +251,6 @@ class FaceRealTimeProcessor(RealTimeProcessorApi):
                )
                return

-            try:
-                face_frame = cv2.cvtColor(face_frame, cv2.COLOR_RGB2BGR)
-            except Exception as e:
-                logger.debug(f"Failed to convert face frame color for {id}: {e}")
-                return
        else:
            # don't run for object without attributes
            if not obj_data.get("current_attributes"):
@@ -1,9 +1,13 @@
-"""Debug replay camera management for replaying recordings with detection overlays."""
+"""Debug replay camera management for replaying recordings with detection overlays.
+
+The startup work (ffmpeg concat + camera config publish) lives in
+frigate.jobs.debug_replay. This module owns only session presence
+(active), session metadata, and post-session cleanup.
+"""

 import logging
 import os
 import shutil
-import subprocess as sp
 import threading

 from ruamel.yaml import YAML
@@ -21,7 +25,7 @@ from frigate.const import (
    REPLAY_DIR,
    THUMB_DIR,
 )
-from frigate.models import Recordings
+from frigate.jobs.debug_replay import cancel_debug_replay_job, wait_for_runner
 from frigate.util.camera_cleanup import cleanup_camera_db, cleanup_camera_files
 from frigate.util.config import find_config_file

@@ -29,7 +33,14 @@ logger = logging.getLogger(__name__)


 class DebugReplayManager:
-    """Manages a single debug replay session."""
+    """Owns the lifecycle pointers for a single debug replay session.
+
+    A session exists from the moment mark_starting is called (synchronously,
+    inside the API handler) until clear_session runs (on success cleanup,
+    failure, or stop). The active property is the source of truth that the
+    status bar consumes — broader than the startup job, which only covers the
+    preparing_clip / starting_camera window.
+    """

    def __init__(self) -> None:
        self._lock = threading.Lock()
@@ -41,144 +52,66 @@ class DebugReplayManager:

    @property
    def active(self) -> bool:
-        """Whether a replay session is currently active."""
+        """True from mark_starting until clear_session."""
        return self.replay_camera_name is not None

-    def start(
+    def mark_starting(
        self,
        source_camera: str,
+        replay_camera_name: str,
        start_ts: float,
        end_ts: float,
-        frigate_config: FrigateConfig,
-        config_publisher: CameraConfigUpdatePublisher,
-    ) -> str:
-        """Start a debug replay session.
+    ) -> None:
+        """Synchronously claim the session before the job runner starts.

-        Args:
-            source_camera: Name of the source camera to replay
-            start_ts: Start timestamp
-            end_ts: End timestamp
-            frigate_config: Current Frigate configuration
-            config_publisher: Publisher for camera config updates
-
-        Returns:
-            The replay camera name
-
-        Raises:
-            ValueError: If a session is already active or parameters are invalid
-            RuntimeError: If clip generation fails
+        Called inside the API handler so the status bar sees active=True
+        immediately, before the worker thread does any ffmpeg work.
        """
        with self._lock:
-            return self._start_locked(
-                source_camera, start_ts, end_ts, frigate_config, config_publisher
-            )
+            self.replay_camera_name = replay_camera_name
+            self.source_camera = source_camera
+            self.start_ts = start_ts
+            self.end_ts = end_ts
+            self.clip_path = None

-    def _start_locked(
+    def mark_session_ready(self, clip_path: str) -> None:
+        """Record the on-disk clip path after the camera has been published."""
+        with self._lock:
+            self.clip_path = clip_path
+
+    def clear_session(self) -> None:
+        """Reset session pointers without publishing camera removal.
+
+        Used by the job runner on failure paths. stop() does the camera
+        teardown plus this clear in one step.
+        """
+        with self._lock:
+            self._clear_locked()
+
+    def _clear_locked(self) -> None:
+        self.replay_camera_name = None
+        self.source_camera = None
+        self.clip_path = None
+        self.start_ts = None
+        self.end_ts = None
+
+    def publish_camera(
        self,
        source_camera: str,
-        start_ts: float,
-        end_ts: float,
+        replay_name: str,
+        clip_path: str,
        frigate_config: FrigateConfig,
        config_publisher: CameraConfigUpdatePublisher,
-    ) -> str:
-        if self.active:
-            raise ValueError("A replay session is already active")
+    ) -> None:
+        """Build the in-memory replay camera config and publish the add event.

-        if source_camera not in frigate_config.cameras:
-            raise ValueError(f"Camera '{source_camera}' not found")
-
-        if end_ts <= start_ts:
-            raise ValueError("End time must be after start time")
-
-        # Query recordings for the source camera in the time range
-        recordings = (
-            Recordings.select(
-                Recordings.path,
-                Recordings.start_time,
-                Recordings.end_time,
-            )
-            .where(
-                Recordings.start_time.between(start_ts, end_ts)
-                | Recordings.end_time.between(start_ts, end_ts)
-                | ((start_ts > Recordings.start_time) & (end_ts < Recordings.end_time))
-            )
-            .where(Recordings.camera == source_camera)
-            .order_by(Recordings.start_time.asc())
-        )
-
-        if not recordings.count():
-            raise ValueError(
-                f"No recordings found for camera '{source_camera}' in the specified time range"
-            )
-
-        # Create replay directory
-        os.makedirs(REPLAY_DIR, exist_ok=True)
-
-        # Generate replay camera name
-        replay_name = f"{REPLAY_CAMERA_PREFIX}{source_camera}"
-
-        # Build concat file for ffmpeg
-        concat_file = os.path.join(REPLAY_DIR, f"{replay_name}_concat.txt")
-        clip_path = os.path.join(REPLAY_DIR, f"{replay_name}.mp4")
-
-        with open(concat_file, "w") as f:
-            for recording in recordings:
-                f.write(f"file '{recording.path}'\n")
-
-        # Concatenate recordings into a single clip with -c copy (fast)
-        ffmpeg_cmd = [
-            frigate_config.ffmpeg.ffmpeg_path,
-            "-hide_banner",
-            "-y",
-            "-f",
-            "concat",
-            "-safe",
-            "0",
-            "-i",
-            concat_file,
-            "-c",
-            "copy",
-            "-movflags",
-            "+faststart",
-            clip_path,
-        ]
-
-        logger.info(
-            "Generating replay clip for %s (%.1f - %.1f)",
-            source_camera,
-            start_ts,
-            end_ts,
-        )
-
-        try:
-            result = sp.run(
-                ffmpeg_cmd,
-                capture_output=True,
-                text=True,
-                timeout=120,
-            )
-            if result.returncode != 0:
-                logger.error("FFmpeg error: %s", result.stderr)
-                raise RuntimeError(
-                    f"Failed to generate replay clip: {result.stderr[-500:]}"
-                )
-        except sp.TimeoutExpired:
-            raise RuntimeError("Clip generation timed out")
-        finally:
-            # Clean up concat file
-            if os.path.exists(concat_file):
-                os.remove(concat_file)
-
-        if not os.path.exists(clip_path):
-            raise RuntimeError("Clip file was not created")
-
-        # Build camera config dict for the replay camera
+        Called by the job runner during the starting_camera phase.
+        """
        source_config = frigate_config.cameras[source_camera]
        camera_dict = self._build_camera_config_dict(
            source_config, replay_name, clip_path
        )

-        # Build an in-memory config with the replay camera added
        config_file = find_config_file()
        yaml_parser = YAML()
        with open(config_file, "r") as f:
@@ -191,75 +124,48 @@ class DebugReplayManager:
        try:
            new_config = FrigateConfig.parse_object(config_data)
        except Exception as e:
-            raise RuntimeError(f"Failed to validate replay camera config: {e}")
-
-        # Update the running config
+            raise RuntimeError(f"Failed to validate replay camera config: {e}") from e
        frigate_config.cameras[replay_name] = new_config.cameras[replay_name]

-        # Publish the add event
        config_publisher.publish_update(
            CameraConfigUpdateTopic(CameraConfigUpdateEnum.add, replay_name),
            new_config.cameras[replay_name],
        )

-        # Store session state
-        self.replay_camera_name = replay_name
-        self.source_camera = source_camera
-        self.clip_path = clip_path
-        self.start_ts = start_ts
-        self.end_ts = end_ts
-
-        logger.info("Debug replay started: %s -> %s", source_camera, replay_name)
-        return replay_name
-
    def stop(
        self,
        frigate_config: FrigateConfig,
        config_publisher: CameraConfigUpdatePublisher,
    ) -> None:
-        """Stop the active replay session and clean up all artifacts.
+        """Cancel any in-flight startup job and tear down the active session.

-        Args:
-            frigate_config: Current Frigate configuration
-            config_publisher: Publisher for camera config updates
+        Safe to call when no session is active (no-op with a warning).
        """
+        cancel_debug_replay_job()
+        wait_for_runner(timeout=2.0)
+
        with self._lock:
-            self._stop_locked(frigate_config, config_publisher)
+            if not self.active:
+                logger.warning("No active replay session to stop")
+                return

-    def _stop_locked(
-        self,
-        frigate_config: FrigateConfig,
-        config_publisher: CameraConfigUpdatePublisher,
-    ) -> None:
-        if not self.active:
-            logger.warning("No active replay session to stop")
-            return
+            replay_name = self.replay_camera_name

-        replay_name = self.replay_camera_name
+            # Only publish remove if the camera was actually added to the live
+            # config (i.e. the runner reached the starting_camera phase).
+            if replay_name is not None and replay_name in frigate_config.cameras:
+                config_publisher.publish_update(
+                    CameraConfigUpdateTopic(CameraConfigUpdateEnum.remove, replay_name),
+                    frigate_config.cameras[replay_name],
+                )

-        # Publish remove event so subscribers stop and remove from their config
-        if replay_name in frigate_config.cameras:
-            config_publisher.publish_update(
-                CameraConfigUpdateTopic(CameraConfigUpdateEnum.remove, replay_name),
-                frigate_config.cameras[replay_name],
-            )
-            # Do NOT pop here — let subscribers handle removal from the shared
-            # config dict when they process the ZMQ message to avoid race conditions
+            if replay_name is not None:
+                self._cleanup_db(replay_name)
+                self._cleanup_files(replay_name)

-        # Defensive DB cleanup
-        self._cleanup_db(replay_name)
+            self._clear_locked()

-        # Remove filesystem artifacts
-        self._cleanup_files(replay_name)
-
-        # Reset state
-        self.replay_camera_name = None
-        self.source_camera = None
-        self.clip_path = None
-        self.start_ts = None
-        self.end_ts = None
-
-        logger.info("Debug replay stopped and cleaned up: %s", replay_name)
+            logger.info("Debug replay stopped and cleaned up: %s", replay_name)

    def _build_camera_config_dict(
        self,
@@ -267,16 +173,7 @@ class DebugReplayManager:
        replay_name: str,
        clip_path: str,
    ) -> dict:
-        """Build a camera config dictionary for the replay camera.
-
-        Args:
-            source_config: Source camera's CameraConfig
-            replay_name: Name for the replay camera
-            clip_path: Path to the replay clip file
-
-        Returns:
-            Camera config as a dictionary
-        """
+        """Build a camera config dictionary for the replay camera."""
        # Extract detect config (exclude computed fields)
        detect_dict = source_config.detect.model_dump(
            exclude={"min_initialized", "max_disappeared", "enabled_in_config"}
@@ -311,7 +208,6 @@ class DebugReplayManager:
            zone_dump = zone_config.model_dump(
                exclude={"contour", "color"}, exclude_defaults=True
            )
-            # Always include required fields
            zone_dump.setdefault("coordinates", zone_config.coordinates)
            zones_dict[zone_name] = zone_dump

@@ -132,7 +132,6 @@ class ONNXModelRunner(BaseModelRunner):
        return model_type in [
            EnrichmentModelTypeEnum.paddleocr.value,
            EnrichmentModelTypeEnum.jina_v2.value,
-            EnrichmentModelTypeEnum.arcface.value,
            ModelTypeEnum.rfdetr.value,
            ModelTypeEnum.dfine.value,
        ]
@@ -108,10 +108,11 @@ When forming your description:
 ## Response Field Guidelines

 Respond with a JSON object matching the provided schema. Field-specific guidance:
+- `observations`: Include the very start of the activity — for example, a vehicle entering the frame or pulling into the driveway — even if it lasts only a few frames and the rest of the clip is dominated by a longer activity. Include each arrival, departure, object handled, and notable change in position or state. Each item is a single concrete fact written as a complete sentence.
 - `scene`: Describe how the sequence begins, then the progression of events — all significant movements and actions in order. For example, if a vehicle arrives and then a person exits, describe both sequentially. For named subjects (those with a `←` separator in "Objects in Scene"), always use their name — do not replace them with generic terms. For unnamed objects (e.g., "person", "car"), refer to them naturally with articles (e.g., "a person", "the car"). Your description should align with and support the threat level you assign.
- `title`: Characterize **what took place and where** — interpret the overall purpose or outcome, do not simply compress the scene description into fewer words. Include the relevant location (zone, area, or entry point). For named subjects, always use their name. For unnamed objects, refer to them naturally with articles. No editorial qualifiers like "routine" or "suspicious."
+- `title`: Name the primary activity across the observations, together with the location. An activity is what is being done with objects, tools, or surfaces; locomotion through the scene qualifies as the activity only when no other interaction is observed. For named subjects, always use their name. For unnamed objects, refer to them naturally with articles.
+- `shortSummary`: Briefly summarize the primary activity across the observations.
 - `potential_threat_level`: Must be consistent with your scene description and the activity patterns above.
-{get_concern_prompt()}

 ## Sequence Details

@@ -1,5 +1,7 @@
 """Ollama Provider for Frigate AI."""

+import base64
+import binascii
 import json
 import logging
 from typing import Any, AsyncGenerator, Optional
@@ -16,6 +18,41 @@ from frigate.genai.utils import parse_tool_calls_from_message
 logger = logging.getLogger(__name__)


+def _normalize_multimodal_content(
+    content: Any,
+) -> tuple[Optional[str], Optional[list[bytes]]]:
+    """Convert OpenAI-style multimodal content to Ollama's (text, images) shape.
+
+    The chat API constructs user messages with content as a list of
+    ``{"type": "text"}`` and ``{"type": "image_url"}`` parts when a tool
+    returns a live frame. Ollama's SDK requires content to be a string and
+    images to be passed in a separate field, so we extract each.
+    """
+    if not isinstance(content, list):
+        return content, None
+
+    text_parts: list[str] = []
+    images: list[bytes] = []
+    for part in content:
+        if not isinstance(part, dict):
+            continue
+        part_type = part.get("type")
+        if part_type == "text":
+            text = part.get("text")
+            if text:
+                text_parts.append(str(text))
+        elif part_type == "image_url":
+            url = (part.get("image_url") or {}).get("url", "")
+            if isinstance(url, str) and url.startswith("data:"):
+                try:
+                    encoded = url.split(",", 1)[1]
+                    images.append(base64.b64decode(encoded, validate=True))
+                except (ValueError, IndexError, binascii.Error) as e:
+                    logger.debug("Failed to decode multimodal image url: %s", e)
+
+    return ("\n".join(text_parts) if text_parts else None), (images or None)
+
+
@register_genai_provider(GenAIProviderEnum.ollama)
 class OllamaClient(GenAIClient):
    """Generative AI client for Frigate using Ollama."""
@@ -207,10 +244,13 @@ class OllamaClient(GenAIClient):
        """Build request_messages and params for chat (sync or stream)."""
        request_messages = []
        for msg in messages:
-            msg_dict = {
+            content, images = _normalize_multimodal_content(msg.get("content", ""))
+            msg_dict: dict[str, Any] = {
                "role": msg.get("role"),
-                "content": msg.get("content", ""),
+                "content": content if content is not None else "",
            }
+            if images:
+                msg_dict["images"] = images
            if msg.get("tool_call_id"):
                msg_dict["tool_call_id"] = msg["tool_call_id"]
            if msg.get("name"):
@@ -0,0 +1,386 @@
+"""Debug replay startup job: ffmpeg concat + camera config publish.
+
+The runner orchestrates the async portion of starting a debug replay
+session. The DebugReplayManager (in frigate.debug_replay) owns session
+presence so the status bar can keep reading a single `active` flag from
+/debug_replay/status for the entire session window — which is broader
+than this job's lifetime.
+"""
+
+import logging
+import os
+import subprocess as sp
+import threading
+import time
+from dataclasses import dataclass
+from typing import TYPE_CHECKING, Any, Optional, cast
+
+from peewee import ModelSelect
+
+from frigate.config import FrigateConfig
+from frigate.config.camera.updater import CameraConfigUpdatePublisher
+from frigate.const import REPLAY_CAMERA_PREFIX, REPLAY_DIR
+from frigate.jobs.export import JobStatePublisher
+from frigate.jobs.job import Job
+from frigate.jobs.manager import job_is_running, set_current_job
+from frigate.models import Recordings
+from frigate.types import JobStatusTypesEnum
+from frigate.util.ffmpeg import run_ffmpeg_with_progress
+
+if TYPE_CHECKING:
+    from frigate.debug_replay import DebugReplayManager
+
+logger = logging.getLogger(__name__)
+
+# Coalesce frequent ffmpeg progress callbacks so the WS isn't flooded.
+PROGRESS_BROADCAST_MIN_INTERVAL = 1.0
+
+JOB_TYPE = "debug_replay"
+
+STEP_PREPARING_CLIP = "preparing_clip"
+STEP_STARTING_CAMERA = "starting_camera"
+
+
+_active_runner: Optional["DebugReplayJobRunner"] = None
+_runner_lock = threading.Lock()
+
+
+def _set_active_runner(runner: Optional["DebugReplayJobRunner"]) -> None:
+    global _active_runner
+    with _runner_lock:
+        _active_runner = runner
+
+
+def get_active_runner() -> Optional["DebugReplayJobRunner"]:
+    with _runner_lock:
+        return _active_runner
+
+
+@dataclass
+class DebugReplayJob(Job):
+    """Job state for a debug replay startup."""
+
+    job_type: str = JOB_TYPE
+    source_camera: str = ""
+    replay_camera_name: str = ""
+    start_ts: float = 0.0
+    end_ts: float = 0.0
+    current_step: Optional[str] = None
+    progress_percent: float = 0.0
+
+    def to_dict(self) -> dict[str, Any]:
+        """Whitelisted payload for the job_state WS topic.
+
+        Replay-specific fields land in results so the frontend's
+        generic Job<TResults> type can be parameterised cleanly.
+        """
+        return {
+            "id": self.id,
+            "job_type": self.job_type,
+            "status": self.status,
+            "start_time": self.start_time,
+            "end_time": self.end_time,
+            "error_message": self.error_message,
+            "results": {
+                "current_step": self.current_step,
+                "progress_percent": self.progress_percent,
+                "source_camera": self.source_camera,
+                "replay_camera_name": self.replay_camera_name,
+                "start_ts": self.start_ts,
+                "end_ts": self.end_ts,
+            },
+        }
+
+
+def query_recordings(source_camera: str, start_ts: float, end_ts: float) -> ModelSelect:
+    """Return the Recordings query for the time range.
+
+    Module-level so tests can patch it without instantiating a runner.
+    """
+    query = (
+        Recordings.select(
+            Recordings.path,
+            Recordings.start_time,
+            Recordings.end_time,
+        )
+        .where(
+            Recordings.start_time.between(start_ts, end_ts)
+            | Recordings.end_time.between(start_ts, end_ts)
+            | ((start_ts > Recordings.start_time) & (end_ts < Recordings.end_time))
+        )
+        .where(Recordings.camera == source_camera)
+        .order_by(Recordings.start_time.asc())
+    )
+    return cast(ModelSelect, query)
+
+
+class DebugReplayJobRunner(threading.Thread):
+    """Worker thread that drives the startup job to completion.
+
+    Owns the live ffmpeg Popen reference for cancellation. Cancellation
+    is two-step (threading.Event + proc.terminate()) so the runner
+    both knows it should stop and is unblocked from its blocking subprocess
+    wait.
+    """
+
+    def __init__(
+        self,
+        job: DebugReplayJob,
+        frigate_config: FrigateConfig,
+        config_publisher: CameraConfigUpdatePublisher,
+        replay_manager: "DebugReplayManager",
+        publisher: Optional[JobStatePublisher] = None,
+    ) -> None:
+        super().__init__(daemon=True, name=f"debug_replay_{job.id}")
+        self.job = job
+        self.frigate_config = frigate_config
+        self.config_publisher = config_publisher
+        self.replay_manager = replay_manager
+        self.publisher = publisher if publisher is not None else JobStatePublisher()
+        self._cancel_event = threading.Event()
+        self._active_process: sp.Popen | None = None
+        self._proc_lock = threading.Lock()
+        self._last_broadcast_monotonic: float = 0.0
+
+    def cancel(self) -> None:
+        """Request cancellation. Idempotent."""
+        self._cancel_event.set()
+        with self._proc_lock:
+            proc = self._active_process
+        if proc is not None:
+            try:
+                proc.terminate()
+            except Exception as exc:
+                logger.warning("Failed to terminate ffmpeg subprocess: %s", exc)
+
+    def is_cancelled(self) -> bool:
+        return self._cancel_event.is_set()
+
+    def _record_proc(self, proc: sp.Popen) -> None:
+        with self._proc_lock:
+            self._active_process = proc
+        # Race: cancel arrived between Popen and _record_proc.
+        if self._cancel_event.is_set():
+            try:
+                proc.terminate()
+            except Exception:
+                pass
+
+    def _broadcast(self, force: bool = False) -> None:
+        now = time.monotonic()
+        if (
+            not force
+            and now - self._last_broadcast_monotonic < PROGRESS_BROADCAST_MIN_INTERVAL
+        ):
+            return
+        self._last_broadcast_monotonic = now
+
+        try:
+            self.publisher.publish(self.job.to_dict())
+        except Exception as err:
+            logger.warning("Publisher raised during job state broadcast: %s", err)
+
+    def run(self) -> None:
+        replay_name = self.job.replay_camera_name
+        os.makedirs(REPLAY_DIR, exist_ok=True)
+        concat_file = os.path.join(REPLAY_DIR, f"{replay_name}_concat.txt")
+        clip_path = os.path.join(REPLAY_DIR, f"{replay_name}.mp4")
+
+        self.job.status = JobStatusTypesEnum.running
+        self.job.start_time = time.time()
+        self.job.current_step = STEP_PREPARING_CLIP
+        self._broadcast(force=True)
+
+        try:
+            recordings = query_recordings(
+                self.job.source_camera, self.job.start_ts, self.job.end_ts
+            )
+            with open(concat_file, "w") as f:
+                for recording in recordings:
+                    f.write(f"file '{recording.path}'\n")
+
+            ffmpeg_cmd = [
+                self.frigate_config.ffmpeg.ffmpeg_path,
+                "-hide_banner",
+                "-y",
+                "-f",
+                "concat",
+                "-safe",
+                "0",
+                "-i",
+                concat_file,
+                "-c",
+                "copy",
+                "-movflags",
+                "+faststart",
+                clip_path,
+            ]
+
+            logger.info(
+                "Generating replay clip for %s (%.1f - %.1f)",
+                self.job.source_camera,
+                self.job.start_ts,
+                self.job.end_ts,
+            )
+
+            def _on_progress(percent: float) -> None:
+                self.job.progress_percent = percent
+                self._broadcast()
+
+            try:
+                returncode, stderr = run_ffmpeg_with_progress(
+                    ffmpeg_cmd,
+                    expected_duration_seconds=max(
+                        0.0, self.job.end_ts - self.job.start_ts
+                    ),
+                    on_progress=_on_progress,
+                    process_started=self._record_proc,
+                    use_low_priority=True,
+                )
+            finally:
+                with self._proc_lock:
+                    self._active_process = None
+
+            if self._cancel_event.is_set():
+                self._finalize_cancelled(clip_path)
+                return
+
+            if returncode != 0:
+                raise RuntimeError(f"FFmpeg failed: {stderr[-500:]}")
+
+            if not os.path.exists(clip_path):
+                raise RuntimeError("Clip file was not created")
+
+            self.job.current_step = STEP_STARTING_CAMERA
+            self.job.progress_percent = 100.0
+            self._broadcast(force=True)
+
+            if self._cancel_event.is_set():
+                self._finalize_cancelled(clip_path)
+                return
+
+            self.replay_manager.publish_camera(
+                source_camera=self.job.source_camera,
+                replay_name=replay_name,
+                clip_path=clip_path,
+                frigate_config=self.frigate_config,
+                config_publisher=self.config_publisher,
+            )
+            self.replay_manager.mark_session_ready(clip_path)
+
+            self.job.status = JobStatusTypesEnum.success
+            self.job.end_time = time.time()
+            self._broadcast(force=True)
+            logger.info(
+                "Debug replay started: %s -> %s",
+                self.job.source_camera,
+                replay_name,
+            )
+        except Exception as exc:
+            logger.exception("Debug replay startup failed")
+            self.job.status = JobStatusTypesEnum.failed
+            self.job.error_message = str(exc)
+            self.job.end_time = time.time()
+            self._broadcast(force=True)
+            self.replay_manager.clear_session()
+            _remove_silent(clip_path)
+        finally:
+            _remove_silent(concat_file)
+            _set_active_runner(None)
+
+    def _finalize_cancelled(self, clip_path: str) -> None:
+        logger.info("Debug replay startup cancelled")
+        self.job.status = JobStatusTypesEnum.cancelled
+        self.job.end_time = time.time()
+        self._broadcast(force=True)
+        # The caller of cancel_debug_replay_job (DebugReplayManager.stop) owns
+        # session cleanup — db rows, filesystem artifacts, clear_session. We
+        # only clean up the partial concat output we created.
+        _remove_silent(clip_path)
+
+
+def _remove_silent(path: str) -> None:
+    try:
+        if os.path.exists(path):
+            os.remove(path)
+    except OSError:
+        pass
+
+
+def start_debug_replay_job(
+    *,
+    source_camera: str,
+    start_ts: float,
+    end_ts: float,
+    frigate_config: FrigateConfig,
+    config_publisher: CameraConfigUpdatePublisher,
+    replay_manager: "DebugReplayManager",
+) -> str:
+    """Validate, create job, start runner. Returns the job id.
+
+    Raises ValueError for bad params (camera missing, time range
+    invalid, no recordings) and RuntimeError if a session is already
+    active.
+    """
+    if job_is_running(JOB_TYPE) or replay_manager.active:
+        raise RuntimeError("A replay session is already active")
+
+    if source_camera not in frigate_config.cameras:
+        raise ValueError(f"Camera '{source_camera}' not found")
+
+    if end_ts <= start_ts:
+        raise ValueError("End time must be after start time")
+
+    recordings = query_recordings(source_camera, start_ts, end_ts)
+    if not recordings.count():
+        raise ValueError(
+            f"No recordings found for camera '{source_camera}' in the specified time range"
+        )
+
+    replay_name = f"{REPLAY_CAMERA_PREFIX}{source_camera}"
+    replay_manager.mark_starting(
+        source_camera=source_camera,
+        replay_camera_name=replay_name,
+        start_ts=start_ts,
+        end_ts=end_ts,
+    )
+
+    job = DebugReplayJob(
+        source_camera=source_camera,
+        replay_camera_name=replay_name,
+        start_ts=start_ts,
+        end_ts=end_ts,
+    )
+    set_current_job(job)
+
+    runner = DebugReplayJobRunner(
+        job=job,
+        frigate_config=frigate_config,
+        config_publisher=config_publisher,
+        replay_manager=replay_manager,
+    )
+    _set_active_runner(runner)
+    runner.start()
+
+    return job.id
+
+
+def cancel_debug_replay_job() -> bool:
+    """Signal the active runner to cancel.
+
+    Returns True if a runner was signalled, False if no job was active.
+    """
+    runner = get_active_runner()
+    if runner is None:
+        return False
+    runner.cancel()
+    return True
+
+
+def wait_for_runner(timeout: float = 2.0) -> bool:
+    """Join the active runner. Returns True if the runner ended in time."""
+    runner = get_active_runner()
+    if runner is None:
+        return True
+    runner.join(timeout=timeout)
+    return not runner.is_alive()
@@ -351,9 +351,11 @@ class RecordingCleanup(threading.Thread):
                )
                .where(
                    ReviewSegment.camera == camera,
-                    # need to ensure segments for all reviews starting
-                    # before the expire date are included
-                    ReviewSegment.start_time < motion_expire_date,
+                    # candidate recordings can extend up to continuous_expire_date
+                    # (the no-motion no-audio branch of the recordings query),
+                    # so reviews must cover that full range to avoid deleting
+                    # segments that overlap recent alerts/detections.
+                    ReviewSegment.start_time < continuous_expire_date,
                )
                .order_by(ReviewSegment.start_time)
                .namedtuples()
@@ -23,13 +23,13 @@ from frigate.const import (
    EXPORT_DIR,
    MAX_PLAYLIST_SECONDS,
    PREVIEW_FRAME_TYPE,
-    PROCESS_PRIORITY_LOW,
 )
 from frigate.ffmpeg_presets import (
    EncodeTypeEnum,
    parse_preset_hardware_acceleration_encode,
 )
 from frigate.models import Export, Previews, Recordings, ReviewSegment
+from frigate.util.ffmpeg import run_ffmpeg_with_progress
 from frigate.util.time import is_current_hour

 logger = logging.getLogger(__name__)
@@ -243,107 +243,29 @@ class RecordingExporter(threading.Thread):

        return total

-    def _inject_progress_flags(self, ffmpeg_cmd: list[str]) -> list[str]:
-        """Insert FFmpeg progress reporting flags before the output path.
-
-        ``-progress pipe:2`` writes structured key=value lines to stderr,
-        ``-nostats`` suppresses the noisy default stats output.
-        """
-        if not ffmpeg_cmd:
-            return ffmpeg_cmd
-        return ffmpeg_cmd[:-1] + ["-progress", "pipe:2", "-nostats", ffmpeg_cmd[-1]]
-
    def _run_ffmpeg_with_progress(
        self,
        ffmpeg_cmd: list[str],
        playlist_lines: str | list[str],
        step: str = "encoding",
    ) -> tuple[int, str]:
-        """Run an FFmpeg export command, parsing progress events from stderr.
+        """Delegate to the shared helper, mapping percent → (step, percent).

-        Returns ``(returncode, captured_stderr)``. Stdout is left attached to
-        the parent process so we don't have to drain it (and risk a deadlock
-        if the buffer fills). Progress percent is computed against the
-        expected output duration; values are clamped to [0, 100] inside
-        :py:meth:`_emit_progress`.
+        Returns ``(returncode, captured_stderr)``.
        """
-        cmd = ["nice", "-n", str(PROCESS_PRIORITY_LOW)] + self._inject_progress_flags(
-            ffmpeg_cmd
-        )
-
        if isinstance(playlist_lines, list):
            stdin_payload = "\n".join(playlist_lines)
        else:
            stdin_payload = playlist_lines

-        expected_duration = self._expected_output_duration_seconds()
-
-        self._emit_progress(step, 0.0)
-
-        proc = sp.Popen(
-            cmd,
-            stdin=sp.PIPE,
-            stderr=sp.PIPE,
-            text=True,
-            encoding="ascii",
-            errors="replace",
+        return run_ffmpeg_with_progress(
+            ffmpeg_cmd,
+            expected_duration_seconds=self._expected_output_duration_seconds(),
+            on_progress=lambda percent: self._emit_progress(step, percent),
+            stdin_payload=stdin_payload,
+            use_low_priority=True,
        )

-        assert proc.stdin is not None
-        assert proc.stderr is not None
-
-        try:
-            proc.stdin.write(stdin_payload)
-        except (BrokenPipeError, OSError):
-            # FFmpeg may have rejected the input early; still wait for it
-            # to terminate so the returncode is meaningful.
-            pass
-        finally:
-            try:
-                proc.stdin.close()
-            except (BrokenPipeError, OSError):
-                pass
-
-        captured: list[str] = []
-
-        try:
-            for raw_line in proc.stderr:
-                captured.append(raw_line)
-                line = raw_line.strip()
-
-                if not line:
-                    continue
-
-                if line.startswith("out_time_us="):
-                    if expected_duration <= 0:
-                        continue
-                    try:
-                        out_time_us = int(line.split("=", 1)[1])
-                    except (ValueError, IndexError):
-                        continue
-                    if out_time_us < 0:
-                        continue
-                    out_seconds = out_time_us / 1_000_000.0
-                    percent = (out_seconds / expected_duration) * 100.0
-                    self._emit_progress(step, percent)
-                elif line == "progress=end":
-                    self._emit_progress(step, 100.0)
-                    break
-        except Exception:
-            logger.exception("Failed reading FFmpeg progress for %s", self.export_id)
-
-        proc.wait()
-
-        # Drain any remaining stderr so callers can log it on failure.
-        try:
-            remaining = proc.stderr.read()
-            if remaining:
-                captured.append(remaining)
-        except Exception:
-            pass
-
-        return proc.returncode, "".join(captured)
-
    def get_datetime_from_timestamp(self, timestamp: int) -> str:
        # return in iso format using the configured ui.timezone when set,
        # so the auto-generated export name reflects local time rather
@@ -420,6 +342,7 @@ class RecordingExporter(threading.Thread):
            return None

        total_output = windows[-1][2] + (windows[-1][1] - windows[-1][0])
+        last_recorded_end = windows[-1][1]

        def wall_to_output(t: float) -> float:
            t = max(float(self.start_time), min(float(self.end_time), t))
@@ -432,8 +355,18 @@ class RecordingExporter(threading.Thread):

        chapter_blocks: list[str] = []
        for review in review_rows:
+            if review.start_time is None:
+                continue
+            # In-progress segments have a NULL end_time until the activity
+            # closes; clamp to the last recorded second so the chapter never
+            # extends past the actual video.
+            review_end = (
+                float(review.end_time)
+                if review.end_time is not None
+                else last_recorded_end
+            )
            start_out = wall_to_output(float(review.start_time))
-            end_out = wall_to_output(float(review.end_time))
+            end_out = wall_to_output(review_end)

            # Drop chapters that fall entirely in a recording gap, or are
            # too short to be navigable in a player.
@@ -516,16 +449,14 @@ class RecordingExporter(threading.Thread):
            except DoesNotExist:
                return ""

-            diff = self.start_time - preview.start_time
-            minutes = int(diff / 60)
-            seconds = int(diff % 60)
+            diff = max(0.0, float(self.start_time) - float(preview.start_time))
            ffmpeg_cmd = [
                "/usr/lib/ffmpeg/7.0/bin/ffmpeg",  # hardcode path for exports thumbnail due to missing libwebp support
                "-hide_banner",
                "-loglevel",
                "warning",
                "-ss",
-                f"00:{minutes}:{seconds}",
+                f"{diff:.3f}",
                "-i",
                preview.path,
                "-frames",
@@ -0,0 +1,123 @@
+"""Tests for /debug_replay API endpoints."""
+
+from unittest.mock import patch
+
+from frigate.models import Event, Recordings, ReviewSegment
+from frigate.test.http_api.base_http_test import AuthTestClient, BaseTestHttp
+
+
+class TestDebugReplayAPI(BaseTestHttp):
+    def setUp(self):
+        super().setUp([Event, Recordings, ReviewSegment])
+        self.app = self.create_app()
+
+    def test_start_returns_202_with_job_id(self):
+        # Stub the factory to skip validation/threading and just record the
+        # name on the manager the way the real factory's mark_starting would.
+        def fake_start(**kwargs):
+            kwargs["replay_manager"].mark_starting(
+                source_camera=kwargs["source_camera"],
+                replay_camera_name="_replay_front",
+                start_ts=kwargs["start_ts"],
+                end_ts=kwargs["end_ts"],
+            )
+            return "job-1234"
+
+        with patch(
+            "frigate.api.debug_replay.start_debug_replay_job",
+            side_effect=fake_start,
+        ):
+            with AuthTestClient(self.app) as client:
+                resp = client.post(
+                    "/debug_replay/start",
+                    json={
+                        "camera": "front",
+                        "start_time": 100,
+                        "end_time": 200,
+                    },
+                )
+
+        self.assertEqual(resp.status_code, 202)
+        body = resp.json()
+        self.assertTrue(body["success"])
+        self.assertEqual(body["job_id"], "job-1234")
+        self.assertEqual(body["replay_camera"], "_replay_front")
+
+    def test_start_returns_400_on_validation_error(self):
+        with patch(
+            "frigate.api.debug_replay.start_debug_replay_job",
+            side_effect=ValueError("Camera 'missing' not found"),
+        ):
+            with AuthTestClient(self.app) as client:
+                resp = client.post(
+                    "/debug_replay/start",
+                    json={
+                        "camera": "missing",
+                        "start_time": 100,
+                        "end_time": 200,
+                    },
+                )
+
+        self.assertEqual(resp.status_code, 400)
+        body = resp.json()
+        self.assertFalse(body["success"])
+        # Message is hard-coded so we don't echo exception text back to clients
+        # (CodeQL: information exposure through an exception).
+        self.assertEqual(body["message"], "Invalid debug replay parameters")
+
+    def test_start_returns_409_when_session_already_active(self):
+        with patch(
+            "frigate.api.debug_replay.start_debug_replay_job",
+            side_effect=RuntimeError("A replay session is already active"),
+        ):
+            with AuthTestClient(self.app) as client:
+                resp = client.post(
+                    "/debug_replay/start",
+                    json={
+                        "camera": "front",
+                        "start_time": 100,
+                        "end_time": 200,
+                    },
+                )
+
+        self.assertEqual(resp.status_code, 409)
+        body = resp.json()
+        self.assertFalse(body["success"])
+
+    def test_status_inactive_when_no_session(self):
+        with AuthTestClient(self.app) as client:
+            resp = client.get("/debug_replay/status")
+
+        self.assertEqual(resp.status_code, 200)
+        body = resp.json()
+        self.assertFalse(body["active"])
+        self.assertIsNone(body["replay_camera"])
+        self.assertIsNone(body["source_camera"])
+        self.assertIsNone(body["start_time"])
+        self.assertIsNone(body["end_time"])
+        self.assertFalse(body["live_ready"])
+        # Make sure deprecated fields are gone
+        self.assertNotIn("state", body)
+        self.assertNotIn("progress_percent", body)
+        self.assertNotIn("error_message", body)
+
+    def test_status_active_after_mark_starting(self):
+        manager = self.app.replay_manager
+        manager.mark_starting(
+            source_camera="front",
+            replay_camera_name="_replay_front",
+            start_ts=100.0,
+            end_ts=200.0,
+        )
+
+        with AuthTestClient(self.app) as client:
+            resp = client.get("/debug_replay/status")
+
+        self.assertEqual(resp.status_code, 200)
+        body = resp.json()
+        self.assertTrue(body["active"])
+        self.assertEqual(body["replay_camera"], "_replay_front")
+        self.assertEqual(body["source_camera"], "front")
+        self.assertEqual(body["start_time"], 100.0)
+        self.assertEqual(body["end_time"], 200.0)
+        self.assertFalse(body["live_ready"])
@@ -64,9 +64,9 @@ class TestConfig(unittest.TestCase):

    def test_config_class(self):
        frigate_config = FrigateConfig(**self.minimal)
-        assert "cpu" in frigate_config.detectors.keys()
-        assert frigate_config.detectors["cpu"].type == DetectorTypeEnum.cpu
-        assert frigate_config.detectors["cpu"].model.width == 320
+        assert "ov" in frigate_config.detectors.keys()
+        assert frigate_config.detectors["ov"].type == DetectorTypeEnum.openvino
+        assert frigate_config.detectors["ov"].model.width == 300

    @patch("frigate.detectors.detector_config.load_labels")
    def test_detector_custom_model_path(self, mock_labels):
@@ -1005,6 +1005,7 @@ class TestConfig(unittest.TestCase):

        config = {
            "mqtt": {"host": "mqtt"},
+            "detectors": {"cpu": {"type": "cpu"}},
            "model": {"path": "plus://test"},
            "cameras": {
                "back": {
@@ -0,0 +1,242 @@
+"""Tests for the simplified DebugReplayManager.
+
+Startup orchestration lives in ``frigate.jobs.debug_replay`` (covered by
+``test_debug_replay_job``). The manager owns only session presence and
+cleanup.
+"""
+
+import unittest
+import unittest.mock
+from unittest.mock import MagicMock, patch
+
+
+class TestDebugReplayManagerSession(unittest.TestCase):
+    def test_inactive_by_default(self) -> None:
+        from frigate.debug_replay import DebugReplayManager
+
+        manager = DebugReplayManager()
+
+        self.assertFalse(manager.active)
+        self.assertIsNone(manager.replay_camera_name)
+        self.assertIsNone(manager.source_camera)
+        self.assertIsNone(manager.clip_path)
+        self.assertIsNone(manager.start_ts)
+        self.assertIsNone(manager.end_ts)
+
+    def test_mark_starting_sets_session_pointers_and_active(self) -> None:
+        from frigate.debug_replay import DebugReplayManager
+
+        manager = DebugReplayManager()
+
+        manager.mark_starting(
+            source_camera="front",
+            replay_camera_name="_replay_front",
+            start_ts=100.0,
+            end_ts=200.0,
+        )
+
+        self.assertTrue(manager.active)
+        self.assertEqual(manager.replay_camera_name, "_replay_front")
+        self.assertEqual(manager.source_camera, "front")
+        self.assertEqual(manager.start_ts, 100.0)
+        self.assertEqual(manager.end_ts, 200.0)
+        self.assertIsNone(manager.clip_path)
+
+    def test_mark_session_ready_sets_clip_path(self) -> None:
+        from frigate.debug_replay import DebugReplayManager
+
+        manager = DebugReplayManager()
+        manager.mark_starting("front", "_replay_front", 100.0, 200.0)
+
+        manager.mark_session_ready(clip_path="/tmp/replay/_replay_front.mp4")
+
+        self.assertEqual(manager.clip_path, "/tmp/replay/_replay_front.mp4")
+        self.assertTrue(manager.active)
+
+    def test_clear_session_resets_all_pointers(self) -> None:
+        from frigate.debug_replay import DebugReplayManager
+
+        manager = DebugReplayManager()
+        manager.mark_starting("front", "_replay_front", 100.0, 200.0)
+        manager.mark_session_ready("/tmp/replay/clip.mp4")
+
+        manager.clear_session()
+
+        self.assertFalse(manager.active)
+        self.assertIsNone(manager.replay_camera_name)
+        self.assertIsNone(manager.source_camera)
+        self.assertIsNone(manager.clip_path)
+        self.assertIsNone(manager.start_ts)
+        self.assertIsNone(manager.end_ts)
+
+
+class TestDebugReplayManagerStop(unittest.TestCase):
+    def test_stop_when_inactive_is_a_noop(self) -> None:
+        from frigate.debug_replay import DebugReplayManager
+
+        manager = DebugReplayManager()
+        frigate_config = MagicMock()
+        frigate_config.cameras = {}
+        publisher = MagicMock()
+
+        # Should not raise; should not publish any events.
+        manager.stop(frigate_config=frigate_config, config_publisher=publisher)
+
+        publisher.publish_update.assert_not_called()
+
+    def test_stop_publishes_remove_when_camera_was_published(self) -> None:
+        from frigate.config.camera.updater import CameraConfigUpdateEnum
+        from frigate.debug_replay import DebugReplayManager
+
+        manager = DebugReplayManager()
+        manager.mark_starting("front", "_replay_front", 100.0, 200.0)
+        manager.mark_session_ready("/tmp/replay/_replay_front.mp4")
+
+        camera_config = MagicMock()
+        frigate_config = MagicMock()
+        frigate_config.cameras = {"_replay_front": camera_config}
+        publisher = MagicMock()
+
+        with (
+            patch.object(manager, "_cleanup_db"),
+            patch.object(manager, "_cleanup_files"),
+            patch("frigate.debug_replay.cancel_debug_replay_job", return_value=False),
+        ):
+            manager.stop(frigate_config=frigate_config, config_publisher=publisher)
+
+        # One publish_update call with a remove topic.
+        self.assertEqual(publisher.publish_update.call_count, 1)
+        topic_arg = publisher.publish_update.call_args.args[0]
+        self.assertEqual(topic_arg.update_type, CameraConfigUpdateEnum.remove)
+        self.assertFalse(manager.active)
+
+    def test_stop_skips_remove_publish_when_camera_not_in_config(self) -> None:
+        """Cancellation during preparing_clip: no camera was published yet."""
+        from frigate.debug_replay import DebugReplayManager
+
+        manager = DebugReplayManager()
+        manager.mark_starting("front", "_replay_front", 100.0, 200.0)
+        # clip_path stays None because we cancelled before camera publish.
+
+        frigate_config = MagicMock()
+        frigate_config.cameras = {}  # _replay_front not present
+        publisher = MagicMock()
+
+        with (
+            patch.object(manager, "_cleanup_db"),
+            patch.object(manager, "_cleanup_files"),
+            patch("frigate.debug_replay.cancel_debug_replay_job", return_value=True),
+        ):
+            manager.stop(frigate_config=frigate_config, config_publisher=publisher)
+
+        publisher.publish_update.assert_not_called()
+        self.assertFalse(manager.active)
+
+    def test_stop_calls_cancel_debug_replay_job(self) -> None:
+        from frigate.debug_replay import DebugReplayManager
+
+        manager = DebugReplayManager()
+        manager.mark_starting("front", "_replay_front", 100.0, 200.0)
+
+        frigate_config = MagicMock()
+        frigate_config.cameras = {}
+        publisher = MagicMock()
+
+        with (
+            patch.object(manager, "_cleanup_db"),
+            patch.object(manager, "_cleanup_files"),
+            patch(
+                "frigate.debug_replay.cancel_debug_replay_job",
+                return_value=True,
+            ) as mock_cancel,
+        ):
+            manager.stop(frigate_config=frigate_config, config_publisher=publisher)
+
+        mock_cancel.assert_called_once()
+
+
+class TestDebugReplayManagerPublishCamera(unittest.TestCase):
+    def test_publish_camera_invokes_publisher_with_add_topic(self) -> None:
+        from frigate.config.camera.updater import CameraConfigUpdateEnum
+        from frigate.debug_replay import DebugReplayManager
+
+        manager = DebugReplayManager()
+
+        source_config = MagicMock()
+        new_camera_config = MagicMock()
+        frigate_config = MagicMock()
+        frigate_config.cameras = {"front": source_config}
+        publisher = MagicMock()
+
+        with (
+            patch.object(
+                manager,
+                "_build_camera_config_dict",
+                return_value={"enabled": True},
+            ),
+            patch("frigate.debug_replay.find_config_file", return_value="/cfg.yml"),
+            patch("frigate.debug_replay.YAML") as yaml_cls,
+            patch("frigate.debug_replay.FrigateConfig.parse_object") as parse_object,
+            patch("builtins.open", unittest.mock.mock_open(read_data="cameras:\n")),
+        ):
+            yaml_instance = yaml_cls.return_value
+            yaml_instance.load.return_value = {"cameras": {}}
+            parsed = MagicMock()
+            parsed.cameras = {"_replay_front": new_camera_config}
+            parse_object.return_value = parsed
+
+            manager.publish_camera(
+                source_camera="front",
+                replay_name="_replay_front",
+                clip_path="/tmp/clip.mp4",
+                frigate_config=frigate_config,
+                config_publisher=publisher,
+            )
+
+        # Camera registered into the live config dict
+        self.assertIn("_replay_front", frigate_config.cameras)
+        # Publisher invoked with an add topic
+        self.assertEqual(publisher.publish_update.call_count, 1)
+        topic_arg = publisher.publish_update.call_args.args[0]
+        self.assertEqual(topic_arg.update_type, CameraConfigUpdateEnum.add)
+
+    def test_publish_camera_wraps_parse_failure_in_runtime_error(self) -> None:
+        from frigate.debug_replay import DebugReplayManager
+
+        manager = DebugReplayManager()
+        frigate_config = MagicMock()
+        frigate_config.cameras = {"front": MagicMock()}
+        publisher = MagicMock()
+
+        with (
+            patch.object(
+                manager,
+                "_build_camera_config_dict",
+                return_value={"enabled": True},
+            ),
+            patch("frigate.debug_replay.find_config_file", return_value="/cfg.yml"),
+            patch("frigate.debug_replay.YAML") as yaml_cls,
+            patch(
+                "frigate.debug_replay.FrigateConfig.parse_object",
+                side_effect=ValueError("zone foo has invalid coordinates"),
+            ),
+            patch("builtins.open", unittest.mock.mock_open(read_data="cameras:\n")),
+        ):
+            yaml_cls.return_value.load.return_value = {"cameras": {}}
+
+            with self.assertRaises(RuntimeError) as ctx:
+                manager.publish_camera(
+                    source_camera="front",
+                    replay_name="_replay_front",
+                    clip_path="/tmp/clip.mp4",
+                    frigate_config=frigate_config,
+                    config_publisher=publisher,
+                )
+
+        self.assertIn("replay camera config", str(ctx.exception))
+        self.assertIn("invalid coordinates", str(ctx.exception))
+        publisher.publish_update.assert_not_called()
+
+
+if __name__ == "__main__":
+    unittest.main()
@@ -0,0 +1,460 @@
+"""Tests for the debug replay job runner and factory."""
+
+import threading
+import time
+import unittest
+import unittest.mock
+from unittest.mock import MagicMock, patch
+
+from frigate.debug_replay import DebugReplayManager
+from frigate.jobs.debug_replay import (
+    DebugReplayJob,
+    cancel_debug_replay_job,
+    get_active_runner,
+    start_debug_replay_job,
+)
+from frigate.jobs.export import JobStatePublisher
+from frigate.jobs.manager import _completed_jobs, _current_jobs
+from frigate.types import JobStatusTypesEnum
+
+
+def _reset_job_manager() -> None:
+    """Clear the global job manager state between tests."""
+    _current_jobs.clear()
+    _completed_jobs.clear()
+
+
+def _patch_publisher(test_case: unittest.TestCase) -> None:
+    """Replace JobStatePublisher.publish with a no-op to avoid hanging on IPC."""
+    publisher_patch = patch.object(
+        JobStatePublisher, "publish", lambda self, payload: None
+    )
+    publisher_patch.start()
+    test_case.addCleanup(publisher_patch.stop)
+
+
+class TestDebugReplayJob(unittest.TestCase):
+    def test_default_fields(self) -> None:
+        job = DebugReplayJob()
+
+        self.assertEqual(job.job_type, "debug_replay")
+        self.assertEqual(job.status, JobStatusTypesEnum.queued)
+        self.assertIsNone(job.current_step)
+        self.assertEqual(job.progress_percent, 0.0)
+
+    def test_to_dict_whitelist(self) -> None:
+        job = DebugReplayJob(
+            source_camera="front",
+            replay_camera_name="_replay_front",
+            start_ts=100.0,
+            end_ts=200.0,
+        )
+        job.current_step = "preparing_clip"
+        job.progress_percent = 42.5
+
+        payload = job.to_dict()
+
+        # Top-level matches the standard Job<TResults> shape.
+        for key in (
+            "id",
+            "job_type",
+            "status",
+            "start_time",
+            "end_time",
+            "error_message",
+            "results",
+        ):
+            self.assertIn(key, payload, f"missing top-level field: {key}")
+
+        results = payload["results"]
+        self.assertEqual(results["source_camera"], "front")
+        self.assertEqual(results["replay_camera_name"], "_replay_front")
+        self.assertEqual(results["current_step"], "preparing_clip")
+        self.assertEqual(results["progress_percent"], 42.5)
+        self.assertEqual(results["start_ts"], 100.0)
+        self.assertEqual(results["end_ts"], 200.0)
+
+
+class TestStartDebugReplayJob(unittest.TestCase):
+    def setUp(self) -> None:
+        _reset_job_manager()
+        _patch_publisher(self)
+        self.manager = DebugReplayManager()
+        self.frigate_config = MagicMock()
+        self.frigate_config.cameras = {"front": MagicMock()}
+        self.frigate_config.ffmpeg.ffmpeg_path = "/bin/true"
+        self.publisher = MagicMock()
+
+        self.recordings_qs = MagicMock()
+        self.recordings_qs.count.return_value = 1
+        self.recordings_qs.__iter__.return_value = iter([MagicMock(path="/tmp/r1.mp4")])
+
+    def tearDown(self) -> None:
+        runner = get_active_runner()
+        if runner is not None:
+            runner.cancel()
+            runner.join(timeout=2.0)
+        _reset_job_manager()
+
+    def test_rejects_unknown_camera(self) -> None:
+        with self.assertRaises(ValueError):
+            start_debug_replay_job(
+                source_camera="missing",
+                start_ts=100.0,
+                end_ts=200.0,
+                frigate_config=self.frigate_config,
+                config_publisher=self.publisher,
+                replay_manager=self.manager,
+            )
+
+    def test_rejects_invalid_time_range(self) -> None:
+        with self.assertRaises(ValueError):
+            start_debug_replay_job(
+                source_camera="front",
+                start_ts=200.0,
+                end_ts=100.0,
+                frigate_config=self.frigate_config,
+                config_publisher=self.publisher,
+                replay_manager=self.manager,
+            )
+
+    def test_rejects_when_no_recordings(self) -> None:
+        empty_qs = MagicMock()
+        empty_qs.count.return_value = 0
+        with patch("frigate.jobs.debug_replay.query_recordings", return_value=empty_qs):
+            with self.assertRaises(ValueError):
+                start_debug_replay_job(
+                    source_camera="front",
+                    start_ts=100.0,
+                    end_ts=200.0,
+                    frigate_config=self.frigate_config,
+                    config_publisher=self.publisher,
+                    replay_manager=self.manager,
+                )
+
+    def test_returns_job_id_and_marks_session_starting(self) -> None:
+        block = threading.Event()
+
+        def slow_helper(cmd, **kwargs):
+            block.wait(timeout=5)
+            return 0, ""
+
+        with (
+            patch(
+                "frigate.jobs.debug_replay.query_recordings",
+                return_value=self.recordings_qs,
+            ),
+            patch(
+                "frigate.jobs.debug_replay.run_ffmpeg_with_progress",
+                side_effect=slow_helper,
+            ),
+            patch.object(self.manager, "publish_camera"),
+            patch("os.path.exists", return_value=True),
+            patch("os.makedirs"),
+            patch("builtins.open", unittest.mock.mock_open()),
+        ):
+            job_id = start_debug_replay_job(
+                source_camera="front",
+                start_ts=100.0,
+                end_ts=200.0,
+                frigate_config=self.frigate_config,
+                config_publisher=self.publisher,
+                replay_manager=self.manager,
+            )
+
+            self.assertIsInstance(job_id, str)
+            self.assertTrue(self.manager.active)
+            self.assertEqual(self.manager.replay_camera_name, "_replay_front")
+            self.assertEqual(self.manager.source_camera, "front")
+
+            block.set()
+
+    def test_rejects_concurrent_calls(self) -> None:
+        block = threading.Event()
+
+        def slow_helper(cmd, **kwargs):
+            block.wait(timeout=5)
+            return 0, ""
+
+        with (
+            patch(
+                "frigate.jobs.debug_replay.query_recordings",
+                return_value=self.recordings_qs,
+            ),
+            patch(
+                "frigate.jobs.debug_replay.run_ffmpeg_with_progress",
+                side_effect=slow_helper,
+            ),
+            patch.object(self.manager, "publish_camera"),
+            patch("os.path.exists", return_value=True),
+            patch("os.makedirs"),
+            patch("builtins.open", unittest.mock.mock_open()),
+        ):
+            start_debug_replay_job(
+                source_camera="front",
+                start_ts=100.0,
+                end_ts=200.0,
+                frigate_config=self.frigate_config,
+                config_publisher=self.publisher,
+                replay_manager=self.manager,
+            )
+
+            with self.assertRaises(RuntimeError):
+                start_debug_replay_job(
+                    source_camera="front",
+                    start_ts=100.0,
+                    end_ts=200.0,
+                    frigate_config=self.frigate_config,
+                    config_publisher=self.publisher,
+                    replay_manager=self.manager,
+                )
+
+            block.set()
+
+
+class TestRunnerHappyPath(unittest.TestCase):
+    def setUp(self) -> None:
+        _reset_job_manager()
+        _patch_publisher(self)
+        self.manager = DebugReplayManager()
+        self.frigate_config = MagicMock()
+        self.frigate_config.cameras = {"front": MagicMock()}
+        self.frigate_config.ffmpeg.ffmpeg_path = "/bin/true"
+        self.publisher = MagicMock()
+
+        self.recordings_qs = MagicMock()
+        self.recordings_qs.count.return_value = 1
+        self.recordings_qs.__iter__.return_value = iter([MagicMock(path="/tmp/r1.mp4")])
+
+    def tearDown(self) -> None:
+        runner = get_active_runner()
+        if runner is not None:
+            runner.cancel()
+            runner.join(timeout=2.0)
+        _reset_job_manager()
+
+    def _wait_for(self, predicate, timeout: float = 5.0) -> bool:
+        deadline = time.time() + timeout
+        while time.time() < deadline:
+            if predicate():
+                return True
+            time.sleep(0.02)
+        return False
+
+    def test_progress_callback_updates_job_percent(self) -> None:
+        captured: list[float] = []
+
+        def fake_helper(cmd, *, on_progress=None, **kwargs):
+            on_progress(0.0)
+            on_progress(50.0)
+            on_progress(100.0)
+            return 0, ""
+
+        with (
+            patch(
+                "frigate.jobs.debug_replay.query_recordings",
+                return_value=self.recordings_qs,
+            ),
+            patch(
+                "frigate.jobs.debug_replay.run_ffmpeg_with_progress",
+                side_effect=fake_helper,
+            ),
+            patch.object(
+                self.manager,
+                "publish_camera",
+                side_effect=lambda *a, **kw: captured.append("published"),
+            ),
+            patch("os.path.exists", return_value=True),
+            patch("os.makedirs"),
+            patch("builtins.open", unittest.mock.mock_open()),
+        ):
+            start_debug_replay_job(
+                source_camera="front",
+                start_ts=100.0,
+                end_ts=200.0,
+                frigate_config=self.frigate_config,
+                config_publisher=self.publisher,
+                replay_manager=self.manager,
+            )
+
+            self.assertTrue(
+                self._wait_for(lambda: get_active_runner() is None),
+                "runner did not finish",
+            )
+
+        from frigate.jobs.manager import get_current_job
+
+        job = get_current_job("debug_replay")
+        self.assertIsNotNone(job)
+        self.assertEqual(job.status, JobStatusTypesEnum.success)
+        self.assertEqual(job.progress_percent, 100.0)
+        self.assertEqual(captured, ["published"])
+        # Manager should have been told the session is ready with the clip path.
+        self.assertIsNotNone(self.manager.clip_path)
+
+
+class TestRunnerFailurePath(unittest.TestCase):
+    def setUp(self) -> None:
+        _reset_job_manager()
+        _patch_publisher(self)
+        self.manager = DebugReplayManager()
+        self.frigate_config = MagicMock()
+        self.frigate_config.cameras = {"front": MagicMock()}
+        self.frigate_config.ffmpeg.ffmpeg_path = "/bin/true"
+        self.publisher = MagicMock()
+        self.recordings_qs = MagicMock()
+        self.recordings_qs.count.return_value = 1
+        self.recordings_qs.__iter__.return_value = iter([MagicMock(path="/tmp/r1.mp4")])
+
+    def tearDown(self) -> None:
+        runner = get_active_runner()
+        if runner is not None:
+            runner.cancel()
+            runner.join(timeout=2.0)
+        _reset_job_manager()
+
+    def _wait_for(self, predicate, timeout: float = 5.0) -> bool:
+        deadline = time.time() + timeout
+        while time.time() < deadline:
+            if predicate():
+                return True
+            time.sleep(0.02)
+        return False
+
+    def test_ffmpeg_failure_marks_job_failed_and_clears_session(self) -> None:
+        def failing_helper(cmd, **kwargs):
+            return 1, "ffmpeg exploded"
+
+        with (
+            patch(
+                "frigate.jobs.debug_replay.query_recordings",
+                return_value=self.recordings_qs,
+            ),
+            patch(
+                "frigate.jobs.debug_replay.run_ffmpeg_with_progress",
+                side_effect=failing_helper,
+            ),
+            patch("os.path.exists", return_value=True),
+            patch("os.makedirs"),
+            patch("os.remove"),
+            patch("builtins.open", unittest.mock.mock_open()),
+        ):
+            start_debug_replay_job(
+                source_camera="front",
+                start_ts=100.0,
+                end_ts=200.0,
+                frigate_config=self.frigate_config,
+                config_publisher=self.publisher,
+                replay_manager=self.manager,
+            )
+
+            self.assertTrue(
+                self._wait_for(lambda: get_active_runner() is None),
+                "runner did not finish",
+            )
+
+        from frigate.jobs.manager import get_current_job
+
+        job = get_current_job("debug_replay")
+        self.assertIsNotNone(job)
+        self.assertEqual(job.status, JobStatusTypesEnum.failed)
+        self.assertIsNotNone(job.error_message)
+        self.assertIn("ffmpeg", job.error_message.lower())
+        # Session cleared so a new /start is allowed
+        self.assertFalse(self.manager.active)
+
+
+class TestRunnerCancellation(unittest.TestCase):
+    def setUp(self) -> None:
+        _reset_job_manager()
+        _patch_publisher(self)
+        self.manager = DebugReplayManager()
+        self.frigate_config = MagicMock()
+        self.frigate_config.cameras = {"front": MagicMock()}
+        self.frigate_config.ffmpeg.ffmpeg_path = "/bin/true"
+        self.publisher = MagicMock()
+        self.recordings_qs = MagicMock()
+        self.recordings_qs.count.return_value = 1
+        self.recordings_qs.__iter__.return_value = iter([MagicMock(path="/tmp/r1.mp4")])
+
+    def tearDown(self) -> None:
+        runner = get_active_runner()
+        if runner is not None:
+            runner.cancel()
+            runner.join(timeout=2.0)
+        _reset_job_manager()
+
+    def _wait_for(self, predicate, timeout: float = 5.0) -> bool:
+        deadline = time.time() + timeout
+        while time.time() < deadline:
+            if predicate():
+                return True
+            time.sleep(0.02)
+        return False
+
+    def test_cancel_terminates_ffmpeg_and_marks_cancelled(self) -> None:
+        terminated = threading.Event()
+        fake_proc = MagicMock()
+        fake_proc.terminate = MagicMock(side_effect=lambda: terminated.set())
+
+        def fake_helper(cmd, *, process_started=None, **kwargs):
+            if process_started is not None:
+                process_started(fake_proc)
+            terminated.wait(timeout=5)
+            return -15, "killed"
+
+        with (
+            patch(
+                "frigate.jobs.debug_replay.query_recordings",
+                return_value=self.recordings_qs,
+            ),
+            patch(
+                "frigate.jobs.debug_replay.run_ffmpeg_with_progress",
+                side_effect=fake_helper,
+            ),
+            patch("os.path.exists", return_value=True),
+            patch("os.makedirs"),
+            patch("os.remove"),
+            patch("builtins.open", unittest.mock.mock_open()),
+        ):
+            start_debug_replay_job(
+                source_camera="front",
+                start_ts=100.0,
+                end_ts=200.0,
+                frigate_config=self.frigate_config,
+                config_publisher=self.publisher,
+                replay_manager=self.manager,
+            )
+
+            # Wait for the runner to register the active process.
+            self.assertTrue(
+                self._wait_for(
+                    lambda: (
+                        get_active_runner() is not None
+                        and get_active_runner()._active_process is fake_proc
+                    )
+                )
+            )
+
+            cancelled = cancel_debug_replay_job()
+            self.assertTrue(cancelled)
+            self.assertTrue(fake_proc.terminate.called)
+
+            self.assertTrue(
+                self._wait_for(lambda: get_active_runner() is None),
+                "runner did not finish",
+            )
+
+        from frigate.jobs.manager import get_current_job
+
+        job = get_current_job("debug_replay")
+        self.assertEqual(job.status, JobStatusTypesEnum.cancelled)
+        # Runner must not clear the manager session on cancellation —
+        # that belongs to the caller of cancel_debug_replay_job (stop()).
+        # If the runner cleared it, stop() would log "no active session"
+        # and skip its cleanup_db / cleanup_files calls.
+        self.assertTrue(self.manager.active)
+
+
+if __name__ == "__main__":
+    unittest.main()
@@ -14,6 +14,7 @@ from frigate.jobs.export import (
 )
 from frigate.record.export import PlaybackSourceEnum, RecordingExporter
 from frigate.types import JobStatusTypesEnum
+from frigate.util.ffmpeg import inject_progress_flags


 def _make_exporter(
@@ -118,10 +119,9 @@ class TestExpectedOutputDuration(unittest.TestCase):

 class TestProgressFlagInjection(unittest.TestCase):
    def test_inserts_before_output_path(self) -> None:
-        exporter = _make_exporter()
        cmd = ["ffmpeg", "-i", "input.m3u8", "-c", "copy", "/tmp/output.mp4"]

-        result = exporter._inject_progress_flags(cmd)
+        result = inject_progress_flags(cmd)

        assert result == [
            "ffmpeg",
@@ -136,8 +136,7 @@ class TestProgressFlagInjection(unittest.TestCase):
        ]

    def test_handles_empty_cmd(self) -> None:
-        exporter = _make_exporter()
-        assert exporter._inject_progress_flags([]) == []
+        assert inject_progress_flags([]) == []


 class TestFfmpegProgressParsing(unittest.TestCase):
@@ -167,7 +166,7 @@ class TestFfmpegProgressParsing(unittest.TestCase):
        fake_proc.returncode = 0
        fake_proc.wait = MagicMock(return_value=0)

-        with patch("frigate.record.export.sp.Popen", return_value=fake_proc):
+        with patch("frigate.util.ffmpeg.sp.Popen", return_value=fake_proc):
            returncode, _stderr = exporter._run_ffmpeg_with_progress(
                ["ffmpeg", "-i", "x.m3u8", "/tmp/out.mp4"], "playlist", step="encoding"
            )
@@ -499,5 +498,56 @@ class TestSchedulesCleanup(unittest.TestCase):
            assert job.id not in manager.jobs


+class TestChapterMetadataInProgressReview(unittest.TestCase):
+    """Regression: in-progress review segments have end_time=NULL until the
+    activity closes. The chapter builder must clamp the chapter end to the
+    last recorded second instead of crashing on float(None)."""
+
+    def _fake_select_returning(self, rows: list) -> MagicMock:
+        mock_query = MagicMock()
+        mock_query.where.return_value = mock_query
+        mock_query.order_by.return_value = mock_query
+        mock_query.iterator.return_value = iter(rows)
+        return mock_query
+
+    def test_in_progress_review_does_not_crash_and_clamps_to_last_recording(
+        self,
+    ) -> None:
+        exporter = _make_exporter(end_minus_start=200)
+        # Recordings cover [1000, 1150]; export window is [1000, 1200] so
+        # the last recorded second is 1150 (a 50s gap at the tail).
+        recordings = [
+            MagicMock(start_time=1000.0, end_time=1150.0),
+        ]
+        in_progress = MagicMock(
+            start_time=1100.0,
+            end_time=None,
+            severity="alert",
+            data={"objects": ["person"]},
+        )
+
+        with tempfile.TemporaryDirectory() as tmpdir:
+            chapter_path = os.path.join(tmpdir, "chapters.txt")
+            exporter._chapter_metadata_path = lambda: chapter_path  # type: ignore[method-assign]
+
+            with patch(
+                "frigate.record.export.ReviewSegment.select",
+                return_value=self._fake_select_returning([in_progress]),
+            ):
+                result = exporter._build_chapter_metadata_file(recordings)
+
+            assert result == chapter_path
+            with open(chapter_path) as f:
+                content = f.read()
+
+        # Output time is windows[-1][1] - windows[-1][0] = 150s.
+        # Review starts at wall=1100, output offset = 100s -> 100000ms.
+        # Clamped end = last_recorded_end (1150) -> output offset = 150s -> 150000ms.
+        assert "[CHAPTER]" in content
+        assert "START=100000" in content
+        assert "END=150000" in content
+        assert "title=Alert: person" in content
+
+
 if __name__ == "__main__":
    unittest.main()
@@ -0,0 +1,111 @@
+"""Tests for the shared ffmpeg progress helper."""
+
+import unittest
+from unittest.mock import MagicMock, patch
+
+from frigate.util.ffmpeg import inject_progress_flags, run_ffmpeg_with_progress
+
+
+class TestInjectProgressFlags(unittest.TestCase):
+    def test_inserts_flags_before_output_path(self):
+        cmd = ["ffmpeg", "-i", "in.mp4", "-c", "copy", "out.mp4"]
+        result = inject_progress_flags(cmd)
+        self.assertEqual(
+            result,
+            [
+                "ffmpeg",
+                "-i",
+                "in.mp4",
+                "-c",
+                "copy",
+                "-progress",
+                "pipe:2",
+                "-nostats",
+                "out.mp4",
+            ],
+        )
+
+    def test_empty_cmd_returns_empty(self):
+        self.assertEqual(inject_progress_flags([]), [])
+
+
+class TestRunFfmpegWithProgress(unittest.TestCase):
+    def _make_fake_proc(self, stderr_lines, returncode=0):
+        proc = MagicMock()
+        proc.stderr = iter(stderr_lines)
+        proc.stdin = MagicMock()
+        proc.returncode = returncode
+        proc.wait = MagicMock()
+        return proc
+
+    def test_emits_percent_from_out_time_us_lines(self):
+        captured: list[float] = []
+
+        def on_progress(percent: float) -> None:
+            captured.append(percent)
+
+        stderr_lines = [
+            "out_time_us=1000000\n",
+            "out_time_us=5000000\n",
+            "progress=end\n",
+        ]
+        proc = self._make_fake_proc(stderr_lines)
+        proc.stderr = MagicMock()
+        proc.stderr.__iter__ = lambda self: iter(stderr_lines)
+        proc.stderr.read = MagicMock(return_value="")
+
+        with patch("subprocess.Popen", return_value=proc):
+            returncode, _stderr = run_ffmpeg_with_progress(
+                ["ffmpeg", "-i", "in", "out"],
+                expected_duration_seconds=10.0,
+                on_progress=on_progress,
+                use_low_priority=False,
+            )
+
+        self.assertEqual(returncode, 0)
+        self.assertEqual(len(captured), 4)  # initial 0.0 + two parsed + final 100.0
+        self.assertAlmostEqual(captured[0], 0.0)
+        self.assertAlmostEqual(captured[1], 10.0)
+        self.assertAlmostEqual(captured[2], 50.0)
+        self.assertAlmostEqual(captured[3], 100.0)
+
+    def test_passes_started_process_to_callback(self):
+        proc = self._make_fake_proc([])
+        proc.stderr = MagicMock()
+        proc.stderr.__iter__ = lambda self: iter([])
+        proc.stderr.read = MagicMock(return_value="")
+
+        seen: list = []
+
+        with patch("subprocess.Popen", return_value=proc):
+            run_ffmpeg_with_progress(
+                ["ffmpeg", "out"],
+                expected_duration_seconds=1.0,
+                process_started=lambda p: seen.append(p),
+                use_low_priority=False,
+            )
+
+        self.assertEqual(seen, [proc])
+
+    def test_clamps_percent_to_0_100(self):
+        captured: list[float] = []
+
+        def on_progress(percent: float) -> None:
+            captured.append(percent)
+
+        stderr_lines = ["out_time_us=999999999999\n"]
+        proc = self._make_fake_proc(stderr_lines)
+        proc.stderr = MagicMock()
+        proc.stderr.__iter__ = lambda self: iter(stderr_lines)
+        proc.stderr.read = MagicMock(return_value="")
+
+        with patch("subprocess.Popen", return_value=proc):
+            run_ffmpeg_with_progress(
+                ["ffmpeg", "out"],
+                expected_duration_seconds=10.0,
+                on_progress=on_progress,
+                use_low_priority=False,
+            )
+
+        # initial 0.0 then a clamped reading
+        self.assertEqual(captured[-1], 100.0)
@@ -7,8 +7,6 @@ from frigate.util.services import get_amd_gpu_stats, get_intel_gpu_stats
 class TestGpuStats(unittest.TestCase):
    def setUp(self):
        self.amd_results = "Unknown Radeon card. <= R500 won't work, new cards might.\nDumping to -, line limit 1.\n1664070990.607556: bus 10, gpu 4.17%, ee 0.00%, vgt 0.00%, ta 0.00%, tc 0.00%, sx 0.00%, sh 0.00%, spi 0.83%, smx 0.00%, cr 0.00%, sc 0.00%, pa 0.00%, db 0.00%, cb 0.00%, vram 60.37% 294.04mb, gtt 0.33% 52.21mb, mclk 100.00% 1.800ghz, sclk 26.65% 0.533ghz\n"
-        self.intel_results = """{"period":{"duration":1.194033,"unit":"ms"},"frequency":{"requested":0.000000,"actual":0.000000,"unit":"MHz"},"interrupts":{"count":3349.991164,"unit":"irq/s"},"rc6":{"value":47.844741,"unit":"%"},"engines":{"Render/3D/0":{"busy":0.000000,"sema":0.000000,"wait":0.000000,"unit":"%"},"Blitter/0":{"busy":0.000000,"sema":0.000000,"wait":0.000000,"unit":"%"},"Video/0":{"busy":4.533124,"sema":0.000000,"wait":0.000000,"unit":"%"},"Video/1":{"busy":6.194385,"sema":0.000000,"wait":0.000000,"unit":"%"},"VideoEnhance/0":{"busy":0.000000,"sema":0.000000,"wait":0.000000,"unit":"%"}}},{"period":{"duration":1.189291,"unit":"ms"},"frequency":{"requested":0.000000,"actual":0.000000,"unit":"MHz"},"interrupts":{"count":0.000000,"unit":"irq/s"},"rc6":{"value":100.000000,"unit":"%"},"engines":{"Render/3D/0":{"busy":0.000000,"sema":0.000000,"wait":0.000000,"unit":"%"},"Blitter/0":{"busy":0.000000,"sema":0.000000,"wait":0.000000,"unit":"%"},"Video/0":{"busy":0.000000,"sema":0.000000,"wait":0.000000,"unit":"%"},"Video/1":{"busy":0.000000,"sema":0.000000,"wait":0.000000,"unit":"%"},"VideoEnhance/0":{"busy":0.000000,"sema":0.000000,"wait":0.000000,"unit":"%"}}}"""
-        self.nvidia_results = "name, utilization.gpu [%], memory.used [MiB], memory.total [MiB]\nNVIDIA GeForce RTX 3050, 42 %, 5036 MiB, 8192 MiB\n"

    @patch("subprocess.run")
    def test_amd_gpu_stats(self, sp):
@@ -19,32 +17,76 @@ class TestGpuStats(unittest.TestCase):
        amd_stats = get_amd_gpu_stats()
        assert amd_stats == {"gpu": "4.17%", "mem": "60.37%"}

-    # @patch("subprocess.run")
-    # def test_nvidia_gpu_stats(self, sp):
-    #    process = MagicMock()
-    #    process.returncode = 0
-    #    process.stdout = self.nvidia_results
-    #    sp.return_value = process
-    #    nvidia_stats = get_nvidia_gpu_stats()
-    #    assert nvidia_stats == {
-    #        "name": "NVIDIA GeForce RTX 3050",
-    #        "gpu": "42 %",
-    #        "mem": "61.5 %",
-    #    }
+    @patch("frigate.util.services.time.sleep")
+    @patch("frigate.util.services.time.monotonic")
+    @patch("frigate.util.services._read_intel_drm_fdinfo")
+    def test_intel_gpu_stats_fdinfo(self, read_fdinfo, monotonic, sleep):
+        # 1 second of wall clock between snapshots
+        monotonic.side_effect = [0.0, 1.0]

-    @patch("subprocess.run")
-    def test_intel_gpu_stats(self, sp):
-        process = MagicMock()
-        process.returncode = 124
-        process.stdout = self.intel_results
-        sp.return_value = process
-        intel_stats = get_intel_gpu_stats(False)
-        # rc6 values: 47.844741 and 100.0 → avg 73.92 → gpu = 100 - 73.92 = 26.08%
-        # Render/3D/0: 0.0 and 0.0 → enc = 0.0%
-        # Video/0: 4.533124 and 0.0 → dec = 2.27%
-        assert intel_stats == {
-            "gpu": "26.08%",
-            "mem": "-%",
-            "compute": "0.0%",
-            "dec": "2.27%",
+        # Two i915 clients on the same iGPU. Engine values are cumulative ns.
+        # Deltas over the 1s window:
+        #   client A (pid 100): render +200_000_000 (20%), video +500_000_000 (50%),
+        #                       video-enhance +100_000_000 (10%)
+        #   client B (pid 200): compute +100_000_000 (10%)
+        # Engine totals → render 20, video 50, video-enhance 10, compute 10
+        # → compute = render + compute = 30
+        # → dec = video + video-enhance = 60
+        # → gpu = compute + dec = 90
+        snapshot_a = {
+            ("0000:00:02.0", "1", "100"): {
+                "driver": "i915",
+                "pid": "100",
+                "engines": {
+                    "render": (1_000_000_000, 0),
+                    "video": (5_000_000_000, 0),
+                    "video-enhance": (200_000_000, 0),
+                    "compute": (0, 0),
+                },
+            },
+            ("0000:00:02.0", "2", "200"): {
+                "driver": "i915",
+                "pid": "200",
+                "engines": {
+                    "render": (0, 0),
+                    "compute": (2_000_000_000, 0),
+                },
+            },
        }
+        snapshot_b = {
+            ("0000:00:02.0", "1", "100"): {
+                "driver": "i915",
+                "pid": "100",
+                "engines": {
+                    "render": (1_200_000_000, 0),
+                    "video": (5_500_000_000, 0),
+                    "video-enhance": (300_000_000, 0),
+                    "compute": (0, 0),
+                },
+            },
+            ("0000:00:02.0", "2", "200"): {
+                "driver": "i915",
+                "pid": "200",
+                "engines": {
+                    "render": (0, 0),
+                    "compute": (2_100_000_000, 0),
+                },
+            },
+        }
+        read_fdinfo.side_effect = [snapshot_a, snapshot_b]
+
+        intel_stats = get_intel_gpu_stats(None)
+
+        sleep.assert_called_once()
+        assert intel_stats == {
+            "gpu": "90.0%",
+            "mem": "-%",
+            "compute": "30.0%",
+            "dec": "60.0%",
+            "clients": {"100": "80.0%", "200": "10.0%"},
+        }
+
+    @patch("frigate.util.services._read_intel_drm_fdinfo")
+    def test_intel_gpu_stats_no_clients(self, read_fdinfo):
+        read_fdinfo.return_value = {}
+        assert get_intel_gpu_stats(None) is None
@@ -773,7 +773,9 @@ class TrackedObjectProcessor(threading.Thread):
                logger.debug(f"Camera {camera} disabled, skipping update")
                continue

-            camera_state = self.camera_states[camera]
+            camera_state = self.camera_states.get(camera)
+            if camera_state is None:
+                continue

            camera_state.update(
                frame_name, frame_time, current_tracked_objects, motion_boxes, regions
@@ -330,7 +330,12 @@ class TrackedObject:
            if self.obj_data["position_changes"] != obj_data["position_changes"]:
                significant_change = True

-            if self.obj_data["attributes"] != obj_data["attributes"]:
+            # disappearance of a per-frame attribute can be caused by detection
+            # skipping the object on a frame (stationary objects on non-interval
+            # frames), so only flag when a new attribute label appears
+            prev_labels = {a["label"] for a in self.obj_data["attributes"]}
+            curr_labels = {a["label"] for a in obj_data["attributes"]}
+            if curr_labels - prev_labels:
                significant_change = True

            # if the state changed between stationary and active
@@ -2,8 +2,9 @@

 import logging
 import subprocess as sp
-from typing import Any
+from typing import Any, Callable, Optional

+from frigate.const import PROCESS_PRIORITY_LOW
 from frigate.log import LogPipe


@@ -46,3 +47,124 @@ def start_or_restart_ffmpeg(
            start_new_session=True,
        )
    return process
+
+
+logger = logging.getLogger(__name__)
+
+
+def inject_progress_flags(cmd: list[str]) -> list[str]:
+    """Insert `-progress pipe:2 -nostats` immediately before the output path.
+
+    `-progress pipe:2` writes structured key=value lines to stderr;
+    `-nostats` suppresses the noisy default stats output. The output path
+    is conventionally the last token in an FFmpeg argv.
+    """
+    if not cmd:
+        return cmd
+    return cmd[:-1] + ["-progress", "pipe:2", "-nostats", cmd[-1]]
+
+
+def run_ffmpeg_with_progress(
+    cmd: list[str],
+    *,
+    expected_duration_seconds: float,
+    on_progress: Optional[Callable[[float], None]] = None,
+    stdin_payload: Optional[str] = None,
+    process_started: Optional[Callable[[sp.Popen], None]] = None,
+    use_low_priority: bool = True,
+) -> tuple[int, str]:
+    """Run an ffmpeg command, streaming progress via `-progress pipe:2`.
+
+    Args:
+        cmd: ffmpeg argv. Output path must be the last token.
+        expected_duration_seconds: Duration of the expected output clip in
+            seconds. Used to convert ffmpeg's `out_time_us` into a percent.
+        on_progress: Optional callback invoked with a percent in [0, 100].
+            Called once with 0.0 at start, again on each `out_time_us=`
+            stderr line, and once with 100.0 on `progress=end`.
+        stdin_payload: Optional string written to ffmpeg stdin (used by
+            export for concat playlists).
+        process_started: Optional callback invoked with the live `Popen`
+            once spawned — lets callers store the ref for cancellation.
+        use_low_priority: When True, prepend `nice -n PROCESS_PRIORITY_LOW`
+            so concat doesn't starve detection.
+
+    Returns:
+        Tuple of `(returncode, captured_stderr)`. Stdout is left attached
+        to the parent process to avoid buffer-full deadlocks.
+    """
+    full_cmd = inject_progress_flags(cmd)
+    if use_low_priority:
+        full_cmd = ["nice", "-n", str(PROCESS_PRIORITY_LOW)] + full_cmd
+
+    def emit(percent: float) -> None:
+        if on_progress is None:
+            return
+        try:
+            on_progress(max(0.0, min(100.0, percent)))
+        except Exception:
+            logger.exception("FFmpeg progress callback failed")
+
+    emit(0.0)
+
+    proc = sp.Popen(
+        full_cmd,
+        stdin=sp.PIPE if stdin_payload is not None else None,
+        stderr=sp.PIPE,
+        text=True,
+        encoding="ascii",
+        errors="replace",
+    )
+    if process_started is not None:
+        try:
+            process_started(proc)
+        except Exception:
+            logger.exception("FFmpeg process_started callback failed")
+
+    if stdin_payload is not None and proc.stdin is not None:
+        try:
+            proc.stdin.write(stdin_payload)
+        except (BrokenPipeError, OSError):
+            pass
+        finally:
+            try:
+                proc.stdin.close()
+            except (BrokenPipeError, OSError):
+                pass
+
+    captured: list[str] = []
+    if proc.stderr is not None:
+        try:
+            for raw_line in proc.stderr:
+                captured.append(raw_line)
+                line = raw_line.strip()
+                if not line:
+                    continue
+                if line.startswith("out_time_us="):
+                    if expected_duration_seconds <= 0:
+                        continue
+                    try:
+                        out_time_us = int(line.split("=", 1)[1])
+                    except (ValueError, IndexError):
+                        continue
+                    if out_time_us < 0:
+                        continue
+                    out_seconds = out_time_us / 1_000_000.0
+                    emit((out_seconds / expected_duration_seconds) * 100.0)
+                elif line == "progress=end":
+                    emit(100.0)
+                    break
+        except Exception:
+            logger.exception("Failed reading FFmpeg progress stream")
+
+    proc.wait()
+
+    if proc.stderr is not None:
+        try:
+            remaining = proc.stderr.read()
+            if remaining:
+                captured.append(remaining)
+        except Exception:
+            pass
+
+    return proc.returncode or 0, "".join(captured)
@@ -264,156 +264,214 @@ def get_amd_gpu_stats() -> Optional[dict[str, str]]:
        return results


-def get_intel_gpu_stats(intel_gpu_device: Optional[str]) -> Optional[dict[str, str]]:
-    """Get stats using intel_gpu_top.
+_INTEL_FDINFO_SAMPLE_SECONDS = 1.0

-    Returns overall GPU usage derived from rc6 residency (idle time),
-    plus individual engine breakdowns:
-      - enc: Render/3D engine (compute/shader encoder, used by QSV)
-      - dec: Video engines (fixed-function codec, used by VAAPI)
+# Engines we track. Render/3D and Compute are pooled into "compute"; Video and
+# VideoEnhance into "dec" (VideoEnhance is the post-process engine that handles
+# VAAPI scaling/deinterlace/CSC, e.g. ffmpeg `-vf scale_vaapi=...`). The Copy
+# (DMA blitter) engine is intentionally ignored — it represents transparent
+# memory transfers, not user-visible GPU work.
+# i915 fdinfo keys (cumulative ns) → logical engine name.
+_I915_ENGINE_KEYS = {
+    "drm-engine-render": "render",
+    "drm-engine-video": "video",
+    "drm-engine-video-enhance": "video-enhance",
+    "drm-engine-compute": "compute",
+}
+# Xe fdinfo suffixes (cumulative cycles, paired with drm-total-cycles-*).
+_XE_ENGINE_KEYS = {
+    "rcs": "render",
+    "vcs": "video",
+    "vecs": "video-enhance",
+    "ccs": "compute",
+}
+
+
+def _resolve_intel_gpu_pdev(device: Optional[str]) -> Optional[str]:
+    """Map a configured GPU hint (/dev/dri/card1, renderD128, or a PCI bus
+    address) to its drm-pdev string so we can filter fdinfo entries to that
+    device. Returns None when no hint is supplied or it cannot be resolved."""
+    if not device:
+        return None
+
+    if re.match(r"^[0-9a-fA-F]{4}:[0-9a-fA-F]{2}:[0-9a-fA-F]{2}\.[0-9a-fA-F]$", device):
+        return device
+
+    name = os.path.basename(device.rstrip("/"))
+    try:
+        return os.path.basename(os.path.realpath(f"/sys/class/drm/{name}/device"))
+    except OSError:
+        return None
+
+
+def _read_intel_drm_fdinfo(target_pdev: Optional[str]) -> dict:
+    """Snapshot DRM fdinfo for every Intel client visible in /proc.
+
+    Returns a dict keyed by (pdev, drm-client-id, pid) so the same context
+    seen via multiple file descriptors on a single process collapses to one
+    entry.
    """
-
-    def get_stats_manually(output: str) -> dict[str, str]:
-        """Find global stats via regex when json fails to parse."""
-        reading = "".join(output)
-        results: dict[str, str] = {}
-
-        # rc6 residency for overall GPU usage
-        rc6_match = re.search(r'"rc6":\{"value":([\d.]+)', reading)
-        if rc6_match:
-            rc6_value = float(rc6_match.group(1))
-            results["gpu"] = f"{round(100.0 - rc6_value, 2)}%"
-        else:
-            results["gpu"] = "-%"
-
-        results["mem"] = "-%"
-
-        # Render/3D is the compute/encode engine
-        render = []
-        for result in re.findall(r'"Render/3D/0":{[a-z":\d.,%]+}', reading):
-            packet = json.loads(result[14:])
-            single = packet.get("busy", 0.0)
-            render.append(float(single))
-
-        if render:
-            results["compute"] = f"{round(sum(render) / len(render), 2)}%"
-
-        # Video engines are the fixed-function decode engines
-        video = []
-        for result in re.findall(r'"Video/\d":{[a-z":\d.,%]+}', reading):
-            packet = json.loads(result[10:])
-            single = packet.get("busy", 0.0)
-            video.append(float(single))
-
-        if video:
-            results["dec"] = f"{round(sum(video) / len(video), 2)}%"
-
-        return results
-
-    intel_gpu_top_command = [
-        "timeout",
-        "0.5s",
-        "intel_gpu_top",
-        "-J",
-        "-o",
-        "-",
-        "-s",
-        "1000",  # Intel changed this from seconds to milliseconds in 2024+ versions
-    ]
-
-    if intel_gpu_device:
-        intel_gpu_top_command += ["-d", intel_gpu_device]
+    snapshot: dict = {}

    try:
-        p = sp.run(
-            intel_gpu_top_command,
-            encoding="ascii",
-            capture_output=True,
-        )
-    except UnicodeDecodeError:
-        return None
+        proc_entries = os.listdir("/proc")
+    except OSError:
+        return snapshot

-    # timeout has a non-zero returncode when timeout is reached
-    if p.returncode != 124:
-        logger.error(f"Unable to poll intel GPU stats: {p.stderr}")
-        return None
-    else:
-        output = "".join(p.stdout.split())
+    for entry in proc_entries:
+        if not entry.isdigit():
+            continue

+        fdinfo_dir = f"/proc/{entry}/fdinfo"
        try:
-            data = json.loads(f"[{output}]")
-        except json.JSONDecodeError:
-            return get_stats_manually(output)
+            fds = os.listdir(fdinfo_dir)
+        except (FileNotFoundError, PermissionError, NotADirectoryError, OSError):
+            continue

-        results: dict[str, str] = {}
-        rc6_values = []
-        render_global = []
-        video_global = []
-        # per-client: {pid: [total_busy_per_sample, ...]}
-        client_usages: dict[str, list[float]] = {}
+        for fd in fds:
+            try:
+                with open(f"{fdinfo_dir}/{fd}") as f:
+                    content = f.read()
+            except (FileNotFoundError, PermissionError, OSError):
+                continue

-        for block in data:
-            # rc6 residency: percentage of time GPU is idle
-            rc6 = block.get("rc6", {}).get("value")
-            if rc6 is not None:
-                rc6_values.append(float(rc6))
+            if "drm-driver" not in content:
+                continue

-            global_engine = block.get("engines")
+            fields: dict[str, str] = {}
+            for line in content.splitlines():
+                key, sep, value = line.partition(":")
+                if sep:
+                    fields[key.strip()] = value.strip()

-            if global_engine:
-                render_frame = global_engine.get("Render/3D/0", {}).get("busy")
-                video_frame = global_engine.get("Video/0", {}).get("busy")
+            driver = fields.get("drm-driver")
+            if driver not in ("i915", "xe"):
+                continue

-                if render_frame is not None:
-                    render_global.append(float(render_frame))
+            pdev = fields.get("drm-pdev", "")
+            if target_pdev and pdev != target_pdev:
+                continue

-                if video_frame is not None:
-                    video_global.append(float(video_frame))
+            client_id = fields.get("drm-client-id")
+            if not client_id:
+                continue

-            clients = block.get("clients", {})
+            key = (pdev, client_id, entry)
+            if key in snapshot:
+                continue

-            if clients:
-                for client_block in clients.values():
-                    pid = client_block["pid"]
+            engines: dict[str, tuple[int, int]] = {}

-                    if pid not in client_usages:
-                        client_usages[pid] = []
+            if driver == "i915":
+                for fkey, engine in _I915_ENGINE_KEYS.items():
+                    raw = fields.get(fkey)
+                    if not raw:
+                        continue
+                    try:
+                        engines[engine] = (int(raw.split()[0]), 0)
+                    except (ValueError, IndexError):
+                        continue
+            else:
+                for suffix, engine in _XE_ENGINE_KEYS.items():
+                    busy_raw = fields.get(f"drm-cycles-{suffix}")
+                    total_raw = fields.get(f"drm-total-cycles-{suffix}")
+                    if not (busy_raw and total_raw):
+                        continue
+                    try:
+                        engines[engine] = (
+                            int(busy_raw.split()[0]),
+                            int(total_raw.split()[0]),
+                        )
+                    except (ValueError, IndexError):
+                        continue

-                    # Sum all engine-class busy values for this client
-                    total_busy = 0.0
-                    for engine in client_block.get("engine-classes", {}).values():
-                        busy = engine.get("busy")
-                        if busy is not None:
-                            total_busy += float(busy)
+            if not engines:
+                continue

-                    client_usages[pid].append(total_busy)
+            snapshot[key] = {"driver": driver, "pid": entry, "engines": engines}

-        # Overall GPU usage from rc6 (idle) residency
-        if rc6_values:
-            rc6_avg = sum(rc6_values) / len(rc6_values)
-            results["gpu"] = f"{round(100.0 - rc6_avg, 2)}%"
+    return snapshot

-        results["mem"] = "-%"

-        # Compute: Render/3D engine (compute/shader workloads and QSV encode)
-        if render_global:
-            results["compute"] = f"{round(sum(render_global) / len(render_global), 2)}%"
+def get_intel_gpu_stats(intel_gpu_device: Optional[str]) -> Optional[dict[str, Any]]:
+    """Get stats by reading DRM fdinfo files.

-        # Decoder: Video engine (fixed-function codec)
-        if video_global:
-            results["dec"] = f"{round(sum(video_global) / len(video_global), 2)}%"
+    Each DRM client FD exposes monotonic per-engine busy counters via
+    /proc/<pid>/fdinfo/<fd> (i915 since kernel 5.19, Xe since first release).
+    We sample twice and divide busy-time deltas by wall-clock to derive
+    utilization. Render/3D and Compute are pooled into "compute"; Video and
+    VideoEnhance into "dec". Overall "gpu" is the sum of those pools (clamped
+    to 100%).
+    """
+    target_pdev = _resolve_intel_gpu_pdev(intel_gpu_device)

-        # Per-client GPU usage (sum of all engines per process)
-        if client_usages:
-            results["clients"] = {}
+    snapshot_a = _read_intel_drm_fdinfo(target_pdev)
+    if not snapshot_a:
+        return None

-            for pid, samples in client_usages.items():
-                if samples:
-                    results["clients"][pid] = (
-                        f"{round(sum(samples) / len(samples), 2)}%"
-                    )
+    start = time.monotonic()
+    time.sleep(_INTEL_FDINFO_SAMPLE_SECONDS)
+    elapsed_ns = (time.monotonic() - start) * 1e9

-        return results
+    snapshot_b = _read_intel_drm_fdinfo(target_pdev)
+    if not snapshot_b or elapsed_ns <= 0:
+        return None
+
+    engine_pct: dict[str, float] = {
+        "render": 0.0,
+        "video": 0.0,
+        "video-enhance": 0.0,
+        "compute": 0.0,
+    }
+    pid_pct: dict[str, float] = {}
+
+    for key, data_b in snapshot_b.items():
+        data_a = snapshot_a.get(key)
+        if not data_a or data_a["driver"] != data_b["driver"]:
+            continue
+
+        client_total = 0.0
+        for engine, (busy_b, total_b) in data_b["engines"].items():
+            if engine not in engine_pct:
+                continue
+
+            busy_a, total_a = data_a["engines"].get(engine, (busy_b, total_b))
+
+            if data_b["driver"] == "i915":
+                delta = max(0, busy_b - busy_a)
+                pct = min(100.0, delta / elapsed_ns * 100.0)
+            else:
+                delta_busy = max(0, busy_b - busy_a)
+                delta_total = total_b - total_a
+                if delta_total <= 0:
+                    continue
+                pct = min(100.0, delta_busy / delta_total * 100.0)
+
+            engine_pct[engine] += pct
+            client_total += pct
+
+        pid_pct[data_b["pid"]] = pid_pct.get(data_b["pid"], 0.0) + client_total
+
+    for engine in engine_pct:
+        engine_pct[engine] = min(100.0, engine_pct[engine])
+
+    compute_pct = min(100.0, engine_pct["render"] + engine_pct["compute"])
+    dec_pct = min(100.0, engine_pct["video"] + engine_pct["video-enhance"])
+    overall_pct = min(100.0, compute_pct + dec_pct)
+
+    results: dict[str, Any] = {
+        "gpu": f"{round(overall_pct, 2)}%",
+        "mem": "-%",
+        "compute": f"{round(compute_pct, 2)}%",
+        "dec": f"{round(dec_pct, 2)}%",
+    }
+
+    if pid_pct:
+        results["clients"] = {
+            pid: f"{round(min(100.0, pct), 2)}%" for pid, pct in pid_pct.items()
+        }
+
+    return results


 def get_openvino_npu_stats() -> Optional[dict[str, str]]:
@@ -438,34 +438,32 @@ def process_frames(
            else:
                object_tracker.update_frame_times(frame_name, frame_time)

-        # group the attribute detections based on what label they apply to
-        attribute_detections: dict[str, list[TrackedObjectAttribute]] = {}
-        for label, attribute_labels in attributes_map.items():
-            attribute_detections[label] = [
-                TrackedObjectAttribute(d)
-                for d in consolidated_detections
-                if d[0] in attribute_labels
-            ]
-
        # build detections
        detections = {}
        for obj in object_tracker.tracked_objects.values():
            detections[obj["id"]] = {**obj, "attributes": []}

-        # find the best object for each attribute to be assigned to
+        # assign each detected attribute to the best matching object.
+        # iterate consolidated_detections once so attributes that appear under
+        # multiple parent labels in attributes_map (e.g. license_plate is in
+        # both "car" and "motorcycle") are not appended more than once
        all_objects: list[dict[str, Any]] = object_tracker.tracked_objects.values()
-        for attributes in attribute_detections.values():
-            for attribute in attributes:
-                filtered_objects = filter(
-                    lambda o: attribute.label in attributes_map.get(o["label"], []),
-                    all_objects,
-                )
-                selected_object_id = attribute.find_best_object(filtered_objects)
+        detected_attributes = [
+            TrackedObjectAttribute(d)
+            for d in consolidated_detections
+            if d[0] in all_attributes
+        ]
+        for attribute in detected_attributes:
+            filtered_objects = filter(
+                lambda o: attribute.label in attributes_map.get(o["label"], []),
+                all_objects,
+            )
+            selected_object_id = attribute.find_best_object(filtered_objects)

-                if selected_object_id is not None:
-                    detections[selected_object_id]["attributes"].append(
-                        attribute.get_tracking_data()
-                    )
+            if selected_object_id is not None:
+                detections[selected_object_id]["attributes"].append(
+                    attribute.get_tracking_data()
+                )

        # debug object tracking
        if False:
@@ -174,6 +174,7 @@ class CameraWatchdog(threading.Thread):
        )
        self.requestor = InterProcessRequestor()
        self.was_enabled = self.config.enabled
+        self.was_record_enabled_in_config = self.config.record.enabled_in_config

        self.segment_subscriber = RecordingsDataSubscriber(RecordingsDataTypeEnum.all)
        self.latest_valid_segment_time: float = 0
@@ -323,6 +324,22 @@ class CameraWatchdog(threading.Thread):
                self.was_enabled = enabled
                continue

+            record_enabled_in_config = self.config.record.enabled_in_config
+            if record_enabled_in_config != self.was_record_enabled_in_config:
+                if record_enabled_in_config and enabled:
+                    self.logger.debug(
+                        f"Record enabled in config for {self.config.name}, restarting ffmpeg"
+                    )
+                    self.stop_all_ffmpeg()
+                    self.start_all_ffmpeg()
+                    self.latest_valid_segment_time = 0
+                    self.latest_invalid_segment_time = 0
+                    self.latest_cache_segment_time = 0
+                    self.record_enable_time = datetime.now().astimezone(timezone.utc)
+                    last_restart_time = datetime.now().timestamp()
+                self.was_record_enabled_in_config = record_enabled_in_config
+                continue
+
            if not enabled:
                continue

@@ -31,7 +31,7 @@ test.describe("Replay — no active session @medium", () => {
    await expect(
      frigateApp.page.getByRole("heading", {
        level: 2,
-        name: /No Active Replay Session/i,
+        name: /No Active Debug Replay Session/i,
      }),
    ).toBeVisible({ timeout: 10_000 });
    const goButton = frigateApp.page.getByRole("button", {
@@ -48,7 +48,7 @@ test.describe("Replay — no active session @medium", () => {
    await expect(
      frigateApp.page.getByRole("heading", {
        level: 2,
-        name: /No Active Replay Session/i,
+        name: /No Active Debug Replay Session/i,
      }),
    ).toBeVisible({ timeout: 10_000 });
    await frigateApp.page
@@ -297,7 +297,7 @@ test.describe("Replay — mobile @medium @mobile", () => {
    await expect(
      frigateApp.page.getByRole("heading", {
        level: 2,
-        name: /No Active Replay Session/i,
+        name: /No Active Debug Replay Session/i,
      }),
    ).toBeVisible({ timeout: 10_000 });
  });
@@ -13,7 +13,7 @@
    "description": "Enabled"
  },
  "audio": {
-    "label": "Audio events",
+    "label": "Audio detection",
    "description": "Settings for audio-based event detection for this camera.",
    "enabled": {
      "label": "Enable audio detection",
@@ -485,6 +485,10 @@
      "hwaccel_args": {
        "label": "Export hwaccel args",
        "description": "Hardware acceleration args to use for export/transcode operations."
+      },
+      "max_concurrent": {
+        "label": "Maximum concurrent exports",
+        "description": "Maximum number of export jobs to process at the same time."
      }
    },
    "preview": {
@@ -242,8 +242,8 @@
        "description": "Enable per-process network bandwidth monitoring for camera ffmpeg processes and detectors (requires capabilities)."
      },
      "intel_gpu_device": {
-        "label": "SR-IOV device",
-        "description": "Device identifier used when treating Intel GPUs as SR-IOV to fix GPU stats."
+        "label": "Intel GPU device",
+        "description": "PCI bus address or DRM device path (e.g. /dev/dri/card1) used to pin Intel GPU stats to a specific device when multiple are present."
      }
    },
    "version_check": {
@@ -539,7 +539,7 @@
    }
  },
  "audio": {
-    "label": "Audio events",
+    "label": "Audio detection",
    "description": "Settings for audio-based event detection for all cameras; can be overridden per-camera.",
    "enabled": {
      "label": "Enable audio detection",
@@ -1000,6 +1000,10 @@
      "hwaccel_args": {
        "label": "Export hwaccel args",
        "description": "Hardware acceleration args to use for export/transcode operations."
+      },
+      "max_concurrent": {
+        "label": "Maximum concurrent exports",
+        "description": "Maximum number of export jobs to process at the same time."
      }
    },
    "preview": {
@@ -70,7 +70,8 @@
  },
  "recording": {
    "enable": "Enable Recording",
-    "disable": "Disable Recording"
+    "disable": "Disable Recording",
+    "disabledInConfig": "Recording must first be enabled in Settings for this camera."
  },
  "snapshots": {
    "enable": "Enable Snapshots",
@@ -19,26 +19,31 @@
    "startLabel": "Start",
    "endLabel": "End",
    "toast": {
-      "success": "Debug replay started successfully",
      "error": "Failed to start debug replay: {{error}}",
      "alreadyActive": "A replay session is already active",
-      "stopped": "Debug replay stopped",
      "stopError": "Failed to stop debug replay: {{error}}",
      "goToReplay": "Go to Replay"
    }
  },
  "page": {
-    "noSession": "No Active Replay Session",
-    "noSessionDesc": "Start a debug replay from the History view by clicking the Debug Replay button in the toolbar.",
+    "noSession": "No Active Debug Replay Session",
+    "noSessionDesc": "Start a Debug Replay from History view by clicking the Actions button in the toolbar and choosing Debug Replay.",
    "goToRecordings": "Go to History",
+    "preparingClip": "Preparing clip…",
+    "preparingClipDesc": "Frigate is stitching together recordings for the selected time range. This can take a minute for longer ranges.",
+    "startingCamera": "Starting Debug Replay…",
+    "startError": {
+      "title": "Failed to start Debug Replay",
+      "back": "Back to History"
+    },
    "sourceCamera": "Source Camera",
    "replayCamera": "Replay Camera",
-    "initializingReplay": "Initializing replay...",
-    "stoppingReplay": "Stopping replay...",
+    "initializingReplay": "Initializing Debug Replay...",
+    "stoppingReplay": "Stopping Debug Replay...",
    "stopReplay": "Stop Replay",
    "confirmStop": {
      "title": "Stop Debug Replay?",
-      "description": "This will stop the replay session and clean up all temporary data. Are you sure?",
+      "description": "This will stop the session and clean up all temporary data. Are you sure?",
      "confirm": "Stop Replay",
      "cancel": "Cancel"
    },
@@ -49,6 +54,6 @@
    "activeTracking": "Active tracking",
    "noActiveTracking": "No active tracking",
    "configuration": "Configuration",
-    "configurationDesc": "Fine tune motion detection and object tracking settings for the debug replay camera. No changes are saved to your Frigate configuration file."
+    "configurationDesc": "Fine tune motion detection and object tracking settings for the Debug Replay camera. No changes are saved to your Frigate configuration file."
  }
 }
@@ -20,7 +20,18 @@
    "overriddenGlobal": "Overridden (Global)",
    "overriddenGlobalTooltip": "This camera overrides global configuration settings in this section",
    "overriddenBaseConfig": "Overridden (Base Config)",
-    "overriddenBaseConfigTooltip": "The {{profile}} profile overrides configuration settings in this section"
+    "overriddenBaseConfigTooltip": "The {{profile}} profile overrides configuration settings in this section",
+    "overriddenInCameras": {
+      "label_one": "Overridden in {{count}} camera",
+      "label_other": "Overridden in {{count}} cameras",
+      "tooltip_one": "{{count}} camera overrides values in this section. Click to see details.",
+      "tooltip_other": "{{count}} cameras override values in this section. Click to see details.",
+      "heading_one": "This global section has fields that are overridden in {{count}} camera.",
+      "heading_other": "This global section has fields that are overridden in {{count}} cameras.",
+      "othersField_one": "{{count}} other",
+      "othersField_other": "{{count}} others",
+      "profilePrefix": "{{profile}} profile: {{fields}}"
+    }
  },
  "menu": {
    "general": "General",
@@ -38,7 +49,7 @@
    "globalMotion": "Motion detection",
    "globalObjects": "Objects",
    "globalReview": "Review",
-    "globalAudioEvents": "Audio events",
+    "globalAudioEvents": "Audio detection",
    "globalLivePlayback": "Live playback",
    "globalTimestampStyle": "Timestamp style",
    "systemDatabase": "Database",
@@ -69,7 +80,7 @@
    "cameraMotion": "Motion detection",
    "cameraObjects": "Objects",
    "cameraConfigReview": "Review",
-    "cameraAudioEvents": "Audio events",
+    "cameraAudioEvents": "Audio detection",
    "cameraAudioTranscription": "Audio transcription",
    "cameraNotifications": "Notifications",
    "cameraLivePlayback": "Live playback",
@@ -501,6 +512,14 @@
      "inherit": "Inherit",
      "enabled": "Enabled",
      "disabled": "Disabled"
+    },
+    "cameraType": {
+      "title": "Camera Type",
+      "label": "Camera type",
+      "description": "Set the type for each camera. Dedicated LPR cameras are single-purpose cameras with powerful optical zoom to capture license plates on distant vehicles. Most cameras should use the normal camera type unless the camera is specifically for LPR and has a tightly focused view on license plates.",
+      "normal": "Normal",
+      "dedicatedLpr": "Dedicated LPR",
+      "saveSuccess": "Updated camera type for {{cameraName}}. Restart Frigate to apply the changes."
    }
  },
  "cameraReview": {
@@ -1632,7 +1651,8 @@
    "review": {
      "recordDisabled": "Recording is disabled, review items will not be generated.",
      "detectDisabled": "Object detection is disabled. Review items require detected objects to categorize alerts and detections.",
-      "allNonAlertDetections": "All non-alert activity will be included as detections."
+      "allNonAlertDetections": "All non-alert activity will be included as detections.",
+      "genaiImageSourceRecordingsRecordDisabled": "Image source is set to 'recordings', but recording is disabled. Frigate will fall back to preview images."
    },
    "audio": {
      "noAudioRole": "No streams have the audio role defined. You must enable the audio role for audio detection to function."
@@ -1641,15 +1661,21 @@
      "audioDetectionDisabled": "Audio detection is not enabled for this camera. Audio transcription requires audio detection to be active."
    },
    "detect": {
-      "fpsGreaterThanFive": "Setting the detect FPS higher than 5 is not recommended."
+      "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."
+    },
+    "objects": {
+      "genaiNoDescriptionsProvider": "You must configure a GenAI provider with the 'descriptions' role for descriptions to be generated."
    },
    "faceRecognition": {
-      "globalDisabled": "Face recognition is not enabled at the global level. Enable it in global settings for camera-level face recognition to function.",
-      "personNotTracked": "Face recognition requires the 'person' object to be tracked. Ensure 'person' is in the object tracking list."
+      "globalDisabled": "The face recognition enrichment must be enabled for face recognition features to function on this camera.",
+      "personNotTracked": "Face recognition requires the 'person' object to be tracked. Enable 'person' in Objects for this camera.",
+      "modelSizeLarge": "The 'large' model requires a GPU or NPU for reasonable performance. Use 'small' on CPU-only systems."
    },
    "lpr": {
-      "globalDisabled": "License plate recognition is not enabled at the global level. Enable it in global settings for camera-level LPR to function.",
-      "vehicleNotTracked": "License plate recognition requires 'car' or 'motorcycle' to be tracked."
+      "globalDisabled": "The license plate recognition enrichment must be enabled for LPR features to function on this camera.",
+      "vehicleNotTracked": "License plate recognition requires 'car' or 'motorcycle' to be tracked. Enable 'car' or 'motorcycle' in Objects for this camera.",
+      "modelSizeLarge": "The 'large' model is optimized for multi-line license plates. The 'small' model provides better performance over 'large' and should be used unless your region uses multi-line plate formats."
    },
    "record": {
      "noRecordRole": "No streams have the record role defined. Recording will not function."
@@ -1663,6 +1689,9 @@
    "detectors": {
      "mixedTypes": "All detectors must use the same type. Remove existing detectors to use a different type.",
      "mixedTypesSuggestion": "All detectors must use the same type. Remove existing detectors or select {{type}}."
+    },
+    "semanticSearch": {
+      "jinav2SmallModelSize": "The 'small' size with the Jina V2 model has high RAM and inference cost. The 'large' model with a discrete GPU is recommended."
    }
  }
 }
@@ -177,6 +177,9 @@
      }
    },
    "framesAndDetections": "Frames / Detections",
+    "noCameras": {
+      "title": "No Cameras Found"
+    },
    "label": {
      "camera": "camera",
      "detect": "detect",
@@ -56,7 +56,14 @@ export function WsProvider({ children }: { children: ReactNode }) {
      if (reconnectTimer.current) {
        clearTimeout(reconnectTimer.current);
      }
-      wsRef.current?.close();
+      const ws = wsRef.current;
+      if (ws) {
+        ws.onopen = null;
+        ws.onmessage = null;
+        ws.onclose = null;
+        ws.onerror = null;
+        ws.close();
+      }
      resetWsStore();
    };
  }, [wsUrl]);
@@ -10,7 +10,11 @@ const audioTranscription: SectionConfigOverrides = {
        severity: "warning",
        condition: (ctx) => {
          if (ctx.level === "camera" && ctx.fullCameraConfig) {
-            return ctx.fullCameraConfig.audio.enabled === false;
+            return (
+              !ctx.fullCameraConfig.ffmpeg?.inputs?.some((input) =>
+                input.roles?.includes("audio"),
+              ) || ctx.fullCameraConfig.audio.enabled === false
+            );
          }
          return false;
        },
@@ -3,6 +3,15 @@ import type { SectionConfigOverrides } from "./types";
 const detect: SectionConfigOverrides = {
  base: {
    sectionDocs: "/configuration/camera_specific",
+    messages: [
+      {
+        key: "detect-disabled",
+        messageKey: "configMessages.detect.disabled",
+        severity: "info",
+        condition: (ctx) =>
+          ctx.level === "camera" && ctx.formData?.enabled === false,
+      },
+    ],
    fieldMessages: [
      {
        key: "fps-greater-than-five",
@@ -12,6 +21,7 @@ const detect: SectionConfigOverrides = {
        position: "after",
        condition: (ctx) => {
          if (ctx.level !== "camera" || !ctx.fullCameraConfig) return false;
+          if (ctx.fullCameraConfig.type === "lpr") return false;
          const detectFps = ctx.formData?.fps as number | undefined;
          const streamFps = ctx.fullCameraConfig.detect?.fps;
          return detectFps != null && streamFps != null && detectFps > 5;
@@ -53,6 +53,21 @@ const faceRecognition: SectionConfigOverrides = {
      "device",
    ],
    restartRequired: ["enabled", "model_size", "device"],
+    fieldMessages: [
+      {
+        key: "model-size-large",
+        field: "model_size",
+        messageKey: "configMessages.faceRecognition.modelSizeLarge",
+        severity: "info",
+        position: "after",
+        condition: (ctx) => ctx.formData?.model_size === "large",
+      },
+    ],
+    uiSchema: {
+      model_size: {
+        "ui:options": { size: "xs" },
+      },
+    },
  },
 };

@@ -65,6 +65,16 @@ const lpr: SectionConfigOverrides = {
      "replace_rules",
    ],
    restartRequired: ["model_size", "enhancement", "device"],
+    fieldMessages: [
+      {
+        key: "model-size-large",
+        field: "model_size",
+        messageKey: "configMessages.lpr.modelSizeLarge",
+        severity: "info",
+        position: "after",
+        condition: (ctx) => ctx.formData?.model_size === "large",
+      },
+    ],
    uiSchema: {
      format: {
        "ui:options": { size: "md" },
@@ -83,6 +93,9 @@ const lpr: SectionConfigOverrides = {
          suppressDescription: true,
        },
      },
+      model_size: {
+        "ui:options": { size: "xs" },
+      },
    },
  },
 };
@@ -1,8 +1,42 @@
+import type { FrigateConfig } from "@/types/frigateConfig";
 import type { SectionConfigOverrides } from "./types";

+// Attribute labels (face, license_plate, Frigate+ couriers like DHL/Amazon,
+// etc.) are populated into objects.filters by the backend even when the
+// model can't actually detect them. They aren't user-settable, so hide any
+// `filters.<attr>` patterns from forms and override comparisons.
+const hideAttributeFilters = (config: FrigateConfig): string[] =>
+  (config.model?.all_attributes ?? []).map((attr) => `filters.${attr}`);
+
 const objects: SectionConfigOverrides = {
  base: {
    sectionDocs: "/configuration/object_filters",
+    messages: [
+      {
+        key: "detect-disabled",
+        messageKey: "configMessages.detect.disabled",
+        severity: "info",
+        condition: (ctx) =>
+          ctx.level === "camera" &&
+          ctx.fullCameraConfig?.detect?.enabled === false,
+      },
+    ],
+    fieldMessages: [
+      {
+        key: "genai-no-descriptions-provider",
+        field: "genai.enabled",
+        messageKey: "configMessages.objects.genaiNoDescriptionsProvider",
+        severity: "warning",
+        position: "before",
+        condition: (ctx) => {
+          const providers = ctx.fullConfig.genai;
+          if (!providers || Object.keys(providers).length === 0) return true;
+          return !Object.values(providers).some((agent) =>
+            agent.roles?.includes("descriptions"),
+          );
+        },
+      },
+    ],
    fieldDocs: {
      "filters.min_area": "/configuration/object_filters#object-area",
      "filters.max_area": "/configuration/object_filters#object-area",
@@ -26,6 +60,7 @@ const objects: SectionConfigOverrides = {
      "filters.*.raw_mask",
      "filters.mask",
      "filters.raw_mask",
+      hideAttributeFilters,
    ],
    advancedFields: ["genai"],
    uiSchema: {
@@ -99,6 +134,7 @@ const objects: SectionConfigOverrides = {
      "filters.mask",
      "filters.raw_mask",
      "genai.required_zones",
+      hideAttributeFilters,
    ],
  },
  camera: {
@@ -123,6 +159,7 @@ const objects: SectionConfigOverrides = {
      "filters.*.raw_mask",
      "filters.mask",
      "filters.raw_mask",
+      hideAttributeFilters,
    ],
    advancedFields: [],
  },
@@ -41,6 +41,38 @@ const review: SectionConfigOverrides = {
          return !Array.isArray(labels) || labels.length === 0;
        },
      },
+      {
+        key: "genai-no-descriptions-provider",
+        field: "genai.enabled",
+        messageKey: "configMessages.objects.genaiNoDescriptionsProvider",
+        severity: "warning",
+        position: "before",
+        condition: (ctx) => {
+          const providers = ctx.fullConfig.genai;
+          if (!providers || Object.keys(providers).length === 0) return true;
+          return !Object.values(providers).some((agent) =>
+            agent.roles?.includes("descriptions"),
+          );
+        },
+      },
+      {
+        key: "genai-image-source-recordings-record-disabled",
+        field: "genai.image_source",
+        messageKey:
+          "configMessages.review.genaiImageSourceRecordingsRecordDisabled",
+        severity: "warning",
+        position: "after",
+        condition: (ctx) => {
+          const genai = ctx.formData?.genai as
+            | Record<string, unknown>
+            | undefined;
+          if (genai?.image_source !== "recordings") return false;
+          if (ctx.level === "camera" && ctx.fullCameraConfig) {
+            return ctx.fullCameraConfig.record?.enabled === false;
+          }
+          return ctx.fullConfig.record?.enabled === false;
+        },
+      },
    ],
    fieldDocs: {
      "alerts.labels": "/configuration/review/#alerts-and-detections",
@@ -18,6 +18,18 @@ const semanticSearch: SectionConfigOverrides = {
    advancedFields: ["reindex", "device"],
    restartRequired: ["enabled", "model", "model_size", "device"],
    hiddenFields: ["reindex"],
+    fieldMessages: [
+      {
+        key: "jinav2-small-model-size",
+        field: "model_size",
+        messageKey: "configMessages.semanticSearch.jinav2SmallModelSize",
+        severity: "warning",
+        position: "after",
+        condition: (ctx) =>
+          ctx.formData?.model === "jinav2" &&
+          ctx.formData?.model_size === "small",
+      },
+    ],
    uiSchema: {
      model: {
        "ui:widget": "semanticSearchModel",
@@ -9,7 +9,7 @@ import {
  useRef,
  useContext,
 } from "react";
-import useSWR from "swr";
+import useSWR, { mutate as swrMutate } from "swr";
 import axios from "axios";
 import { toast } from "sonner";
 import { useTranslation } from "react-i18next";
@@ -22,9 +22,11 @@ import {
  modifySchemaForSection,
  getEffectiveDefaultsForSection,
  sanitizeOverridesForSection,
+  synthesizeMissingObjectFilters,
 } from "./section-special-cases";
 import { getSectionValidation } from "../section-validations";
 import { useConfigOverride } from "@/hooks/use-config-override";
+import { CameraOverridesBadge } from "./CameraOverridesBadge";
 import { useSectionSchema } from "@/hooks/use-config-schema";
 import type { FrigateConfig } from "@/types/frigateConfig";
 import { Badge } from "@/components/ui/badge";
@@ -57,7 +59,11 @@ import {
 } from "@/components/ui/alert-dialog";
 import { applySchemaDefaults } from "@/lib/config-schema";
 import { cn } from "@/lib/utils";
-import { ConfigSectionData, JsonValue } from "@/types/configForm";
+import {
+  ConfigSectionData,
+  HiddenFieldEntry,
+  JsonValue,
+} from "@/types/configForm";
 import ActivityIndicator from "@/components/indicators/activity-indicator";
 import { StatusBarMessagesContext } from "@/context/statusbar-provider";
 import {
@@ -67,6 +73,7 @@ import {
  buildConfigDataForPath,
  flattenOverrides,
  getBaseCameraSectionValue,
+  resolveHiddenFieldEntries,
  sanitizeSectionData as sharedSanitizeSectionData,
  requiresRestartForOverrides as sharedRequiresRestartForOverrides,
 } from "@/utils/configUtil";
@@ -89,7 +96,7 @@ export interface SectionConfig {
  /** Fields to group together */
  fieldGroups?: Record<string, string[]>;
  /** Fields to hide from UI */
-  hiddenFields?: string[];
+  hiddenFields?: HiddenFieldEntry[];
  /** Fields to show in advanced section */
  advancedFields?: string[];
  /** Fields to compare for override detection */
@@ -356,25 +363,34 @@ export function ConfigSection({
    return get(config, sectionPath);
  }, [config, cameraName, sectionPath, effectiveLevel, profileName]);

-  const rawFormData = useMemo(() => {
+  const rawFormData = useMemo<ConfigSectionData>(() => {
    if (!config) return {};

    if (rawSectionValue === undefined || rawSectionValue === null) {
      return {};
    }

-    return rawSectionValue;
-  }, [config, rawSectionValue]);
+    return synthesizeMissingObjectFilters(
+      sectionPath,
+      rawSectionValue,
+      modifiedSchema ?? undefined,
+    ) as ConfigSectionData;
+  }, [config, rawSectionValue, sectionPath, modifiedSchema]);

  // When editing a profile, hide fields that require a restart since they
  // cannot take effect via profile switching alone.
  const effectiveHiddenFields = useMemo(() => {
+    const base = resolveHiddenFieldEntries(sectionConfig.hiddenFields, config);
    if (!profileName || !sectionConfig.restartRequired?.length) {
-      return sectionConfig.hiddenFields;
+      return base;
    }
-    const base = sectionConfig.hiddenFields ?? [];
    return [...new Set([...base, ...sectionConfig.restartRequired])];
-  }, [profileName, sectionConfig.hiddenFields, sectionConfig.restartRequired]);
+  }, [
+    profileName,
+    sectionConfig.hiddenFields,
+    sectionConfig.restartRequired,
+    config,
+  ]);

  const sanitizeSectionData = useCallback(
    (data: ConfigSectionData) =>
@@ -386,7 +402,7 @@ export function ConfigSection({
    const baseData = modifiedSchema
      ? applySchemaDefaults(modifiedSchema, rawFormData)
      : rawFormData;
-    return sanitizeSectionData(baseData);
+    return sanitizeSectionData(baseData as ConfigSectionData);
  }, [rawFormData, modifiedSchema, sanitizeSectionData]);

  const baselineSnapshot = useMemo(() => {
@@ -742,6 +758,7 @@ export function ConfigSection({
      }

      await refreshConfig();
+      swrMutate("config/raw_paths");
      setPendingData(null);
      onSave?.();
    } catch (error) {
@@ -1263,6 +1280,9 @@ export function ConfigSection({
                        </TooltipContent>
                      </Tooltip>
                    )}
+                  {showOverrideIndicator && effectiveLevel === "global" && (
+                    <CameraOverridesBadge sectionPath={sectionPath} />
+                  )}
                  {hasChanges && (
                    <Badge variant="outline" className="text-xs">
                      {t("button.modified", {
@@ -1334,6 +1354,9 @@ export function ConfigSection({
                      </TooltipContent>
                    </Tooltip>
                  )}
+                {showOverrideIndicator && effectiveLevel === "global" && (
+                  <CameraOverridesBadge sectionPath={sectionPath} />
+                )}
                {hasChanges && (
                  <Badge
                    variant="secondary"
@@ -0,0 +1,322 @@
+import useSWR from "swr";
+import { useMemo } from "react";
+import { useTranslation } from "react-i18next";
+import { Link } from "react-router-dom";
+import { LuChevronDown } from "react-icons/lu";
+
+import { Badge } from "@/components/ui/badge";
+import {
+  Popover,
+  PopoverContent,
+  PopoverTrigger,
+} from "@/components/ui/popover";
+import {
+  CameraOverrideEntry,
+  FieldDelta,
+  useCamerasOverridingSection,
+} from "@/hooks/use-config-override";
+import type { FrigateConfig } from "@/types/frigateConfig";
+import type { ProfilesApiResponse } from "@/types/profile";
+import { humanizeKey } from "@/components/config-form/theme/utils/i18n";
+import { useCameraFriendlyName } from "@/hooks/use-camera-friendly-name";
+import { formatList } from "@/utils/stringUtil";
+import { getEffectiveHiddenFields } from "@/utils/configUtil";
+
+const CAMERA_PAGE_BY_SECTION: Record<string, string> = {
+  detect: "cameraDetect",
+  ffmpeg: "cameraFfmpeg",
+  record: "cameraRecording",
+  snapshots: "cameraSnapshots",
+  motion: "cameraMotion",
+  objects: "cameraObjects",
+  review: "cameraReview",
+  audio: "cameraAudioEvents",
+  audio_transcription: "cameraAudioTranscription",
+  notifications: "cameraNotifications",
+  live: "cameraLivePlayback",
+  birdseye: "cameraBirdseye",
+  face_recognition: "cameraFaceRecognition",
+  lpr: "cameraLpr",
+  timestamp_style: "cameraTimestampStyle",
+};
+
+const MAX_FIELDS_PER_CAMERA = 5;
+
+/**
+ * Sections where the cross-camera override badge should be suppressed.
+ * Includes enrichment sections that aren't meaningfully per-camera
+ * (face recognition and LPR are intentionally omitted so the badge does show
+ * there) and every System sub-page (detector hardware, database, networking,
+ * etc.) which configures Frigate as a whole, not per-camera state.
+ */
+const SECTIONS_WITHOUT_OVERRIDE_BADGE = new Set([
+  // Enrichments (face_recognition and lpr remain enabled)
+  "semantic_search",
+  "genai",
+  "classification",
+  "audio_transcription",
+  // System
+  "go2rtc_streams",
+  "database",
+  "mqtt",
+  "tls",
+  "auth",
+  "networking",
+  "proxy",
+  "ui",
+  "logger",
+  "environment_vars",
+  "telemetry",
+  "birdseye",
+  "detectors",
+  "model",
+]);
+
+/**
+ * Match a delta path against a hidden-field pattern. Supports literal prefixes
+ * (so a hidden field "streams" also hides "streams.foo.bar") and `*` wildcards
+ * matching exactly one path segment (e.g. "filters.*.mask").
+ */
+function pathMatchesHiddenPattern(path: string, pattern: string): boolean {
+  if (!pattern) return false;
+  if (!pattern.includes("*")) {
+    return path === pattern || path.startsWith(`${pattern}.`);
+  }
+  const patternSegments = pattern.split(".");
+  const pathSegments = path.split(".");
+  if (pathSegments.length < patternSegments.length) return false;
+  for (let i = 0; i < patternSegments.length; i += 1) {
+    if (patternSegments[i] === "*") continue;
+    if (patternSegments[i] !== pathSegments[i]) return false;
+  }
+  return true;
+}
+
+type CameraEntryProps = {
+  sectionPath: string;
+  entry: CameraOverrideEntry;
+  cameraPage?: string;
+};
+
+type SourceGroup = {
+  /** undefined → camera-level; string → profile name */
+  profileName: string | undefined;
+  deltas: FieldDelta[];
+};
+
+function groupDeltasBySource(deltas: FieldDelta[]): SourceGroup[] {
+  const cameraDeltas: FieldDelta[] = [];
+  const byProfile = new Map<string, FieldDelta[]>();
+  for (const delta of deltas) {
+    if (delta.profileName) {
+      const arr = byProfile.get(delta.profileName) ?? [];
+      arr.push(delta);
+      byProfile.set(delta.profileName, arr);
+    } else {
+      cameraDeltas.push(delta);
+    }
+  }
+  const groups: SourceGroup[] = [];
+  if (cameraDeltas.length > 0) {
+    groups.push({ profileName: undefined, deltas: cameraDeltas });
+  }
+  for (const [profileName, group] of byProfile) {
+    groups.push({ profileName, deltas: group });
+  }
+  return groups;
+}
+
+function CameraEntry({ sectionPath, entry, cameraPage }: CameraEntryProps) {
+  const { t, i18n } = useTranslation([
+    "config/global",
+    "views/settings",
+    "objects",
+  ]);
+  const friendlyName = useCameraFriendlyName(entry.camera);
+  const { data: profilesData } = useSWR<ProfilesApiResponse>("profiles");
+
+  const profileFriendlyNames = useMemo(() => {
+    const map = new Map<string, string>();
+    profilesData?.profiles?.forEach((p) => map.set(p.name, p.friendly_name));
+    return map;
+  }, [profilesData]);
+
+  const fieldLabel = (fieldPath: string) => {
+    if (!fieldPath) {
+      const sectionKey = `${sectionPath}.label`;
+      return i18n.exists(sectionKey, { ns: "config/global" })
+        ? t(sectionKey, { ns: "config/global" })
+        : humanizeKey(sectionPath);
+    }
+
+    const segments = fieldPath.split(".");
+
+    // Most specific: try the full nested path
+    const fullKey = `${sectionPath}.${fieldPath}.label`;
+    if (i18n.exists(fullKey, { ns: "config/global" })) {
+      return t(fullKey, { ns: "config/global" });
+    }
+
+    // Try dropping each intermediate segment in turn — those are typically
+    // user-defined dict keys (object class names, zone names, etc.) that
+    // don't have their own label entries. Prepend the dropped segment as
+    // context to disambiguate (e.g. "Person · Minimum object area").
+    for (let i = 0; i < segments.length; i++) {
+      const reduced = [...segments.slice(0, i), ...segments.slice(i + 1)].join(
+        ".",
+      );
+      if (!reduced) continue;
+      const reducedKey = `${sectionPath}.${reduced}.label`;
+      if (i18n.exists(reducedKey, { ns: "config/global" })) {
+        const resolvedLabel = t(reducedKey, { ns: "config/global" });
+        const dropped = segments[i];
+        // Object class names ("person", "car", "fox") have translations in
+        // the `objects` namespace; fall back to humanizing the raw key for
+        // anything that isn't a known label.
+        const droppedLabel = i18n.exists(dropped, { ns: "objects" })
+          ? t(dropped, { ns: "objects" })
+          : humanizeKey(dropped);
+        return `${droppedLabel} · ${resolvedLabel}`;
+      }
+    }
+
+    // Last resort: humanize the leaf segment
+    return humanizeKey(segments[segments.length - 1]);
+  };
+
+  const formatDeltas = (deltas: FieldDelta[]) => {
+    const visibleLabels = deltas
+      .slice(0, MAX_FIELDS_PER_CAMERA)
+      .map((delta) => fieldLabel(delta.fieldPath));
+    const hiddenCount = deltas.length - visibleLabels.length;
+    const labelsForList =
+      hiddenCount > 0
+        ? [
+            ...visibleLabels,
+            t("button.overriddenInCameras.othersField", {
+              ns: "views/settings",
+              count: hiddenCount,
+            }),
+          ]
+        : visibleLabels;
+    return formatList(labelsForList);
+  };
+
+  const groups = groupDeltasBySource(entry.fieldDeltas);
+
+  return (
+    <div className="flex flex-col gap-0.5 text-xs">
+      {cameraPage ? (
+        <Link
+          to={`/settings?page=${cameraPage}&camera=${encodeURIComponent(entry.camera)}`}
+          className="font-medium hover:underline"
+        >
+          {friendlyName}
+        </Link>
+      ) : (
+        <span className="font-medium">{friendlyName}</span>
+      )}
+      {groups.map((group) => (
+        <span
+          key={group.profileName ?? "__camera__"}
+          className="ml-2 text-muted-foreground"
+        >
+          {group.profileName
+            ? t("button.overriddenInCameras.profilePrefix", {
+                ns: "views/settings",
+                profile:
+                  profileFriendlyNames.get(group.profileName) ??
+                  group.profileName,
+                fields: formatDeltas(group.deltas),
+              })
+            : formatDeltas(group.deltas)}
+        </span>
+      ))}
+    </div>
+  );
+}
+
+type Props = {
+  sectionPath: string;
+  className?: string;
+};
+
+export function CameraOverridesBadge({ sectionPath, className }: Props) {
+  const { data: config } = useSWR<FrigateConfig>("config");
+  const { t } = useTranslation(["views/settings"]);
+  const rawEntries = useCamerasOverridingSection(config, sectionPath);
+
+  const entries = useMemo(() => {
+    const hiddenFields = getEffectiveHiddenFields(
+      sectionPath,
+      "global",
+      config,
+    );
+    if (hiddenFields.length === 0) return rawEntries;
+    return rawEntries
+      .map((entry) => ({
+        ...entry,
+        fieldDeltas: entry.fieldDeltas.filter(
+          (delta) =>
+            !hiddenFields.some((pattern) =>
+              pathMatchesHiddenPattern(delta.fieldPath, pattern),
+            ),
+        ),
+      }))
+      .filter((entry) => entry.fieldDeltas.length > 0);
+  }, [rawEntries, sectionPath, config]);
+
+  if (SECTIONS_WITHOUT_OVERRIDE_BADGE.has(sectionPath)) {
+    return null;
+  }
+
+  if (entries.length === 0) {
+    return null;
+  }
+
+  const cameraPage = CAMERA_PAGE_BY_SECTION[sectionPath];
+  const count = entries.length;
+
+  return (
+    <Popover>
+      <PopoverTrigger asChild>
+        <Badge
+          variant="secondary"
+          className={`cursor-pointer border-2 border-selected text-xs text-primary-variant ${className ?? ""}`}
+          aria-label={t("button.overriddenInCameras.tooltip", {
+            ns: "views/settings",
+            count: count,
+          })}
+        >
+          <span>
+            {t("button.overriddenInCameras.label", {
+              ns: "views/settings",
+              count: count,
+            })}
+          </span>
+          <LuChevronDown className="ml-1 size-3" />
+        </Badge>
+      </PopoverTrigger>
+      <PopoverContent align="start" className="w-80 max-w-[90vw] pr-0">
+        <div className="flex flex-col gap-3">
+          <div className="pr-4 text-xs text-primary-variant">
+            {t("button.overriddenInCameras.heading", {
+              ns: "views/settings",
+              count: count,
+            })}
+          </div>
+          <div className="scrollbar-container flex max-h-[40dvh] flex-col gap-2 overflow-y-auto pr-4">
+            {entries.map((entry) => (
+              <CameraEntry
+                key={entry.camera}
+                sectionPath={sectionPath}
+                entry={entry}
+                cameraPage={cameraPage}
+              />
+            ))}
+          </div>
+        </div>
+      </PopoverContent>
+    </Popover>
+  );
+}
@@ -15,7 +15,7 @@ import { JsonObject, JsonValue } from "@/types/configForm";
 * Sections that require special handling at the global level.
 * Add new section paths here as needed.
 */
-const SPECIAL_CASE_SECTIONS = ["motion", "detectors"] as const;
+const SPECIAL_CASE_SECTIONS = ["motion", "detectors", "genai"] as const;

 /**
 * Check if a section requires special case handling.
@@ -53,6 +53,29 @@ export function modifySchemaForSection(
    return schemaWithoutDefault;
  }

+  if (sectionPath === "genai") {
+    const additional = schema.additionalProperties;
+    if (
+      additional &&
+      typeof additional === "object" &&
+      !Array.isArray(additional)
+    ) {
+      const props = (additional as RJSFSchema).properties;
+      if (props && typeof props.provider === "object") {
+        return {
+          ...schema,
+          additionalProperties: {
+            ...additional,
+            properties: {
+              ...props,
+              provider: { ...(props.provider as object), default: "openai" },
+            },
+          },
+        };
+      }
+    }
+  }
+
  return schema;
 }

@@ -105,6 +128,51 @@ export function getEffectiveDefaultsForSection(
  return schemaDefaults;
 }

+/**
+ * Add default filter entries for any label in `objects.track` that isn't
+ * already in `objects.filters`, so each tracked label gets a collapsible.
+ * The backend only auto-populates filters at config init, not after profile
+ * merges.
+ */
+export function synthesizeMissingObjectFilters(
+  sectionPath: string,
+  data: unknown,
+  sectionSchema: RJSFSchema | undefined,
+): unknown {
+  if (sectionPath !== "objects") return data;
+  if (!isJsonObject(data)) return data;
+
+  const trackValue = (data as JsonObject).track;
+  if (!Array.isArray(trackValue) || trackValue.length === 0) return data;
+
+  const properties = (sectionSchema as { properties?: Record<string, unknown> })
+    ?.properties;
+  const filtersSchema = isJsonObject(properties)
+    ? (properties.filters as { additionalProperties?: unknown } | undefined)
+    : undefined;
+  const filterEntrySchema = isJsonObject(filtersSchema?.additionalProperties)
+    ? (filtersSchema.additionalProperties as RJSFSchema)
+    : undefined;
+
+  const existingFilters = isJsonObject((data as JsonObject).filters)
+    ? ((data as JsonObject).filters as JsonObject)
+    : {};
+
+  const newFilters: JsonObject = { ...existingFilters };
+  let added = false;
+  for (const label of trackValue) {
+    if (typeof label !== "string") continue;
+    if (Object.prototype.hasOwnProperty.call(newFilters, label)) continue;
+    newFilters[label] = (
+      filterEntrySchema ? applySchemaDefaults(filterEntrySchema, {}) : {}
+    ) as JsonValue;
+    added = true;
+  }
+
+  if (!added) return data;
+  return { ...(data as JsonObject), filters: newFilters };
+}
+
 /**
 * Sanitize overrides payloads for section-specific quirks.
 */
@@ -2,7 +2,7 @@
 import { WidgetProps } from "@rjsf/utils";
 import { SwitchesWidget } from "./SwitchesWidget";
 import { FormContext } from "./SwitchesWidget";
-import { getTranslatedLabel } from "@/utils/i18n";
+import i18n, { getTranslatedLabel } from "@/utils/i18n";
 import { FrigateConfig } from "@/types/frigateConfig";
 import { JsonObject } from "@/types/configForm";

@@ -76,7 +76,12 @@ function getObjectLabels(context: FormContext): string[] {
    ...sourceLabels,
    ...formDataLabels,
  ]);
-  return [...combinedLabels].sort();
+  return [...combinedLabels].sort((a, b) =>
+    getObjectLabelDisplayName(a).localeCompare(
+      getObjectLabelDisplayName(b),
+      i18n.language,
+    ),
+  );
 }

 function getObjectLabelDisplayName(label: string): string {
@@ -94,6 +99,7 @@ export function ObjectLabelSwitchesWidget(props: WidgetProps) {
        i18nKey: "objectLabels",
        listClassName:
          "relative max-h-none overflow-visible md:max-h-64 md:overflow-y-auto md:overscroll-contain md:scrollbar-container",
+        enableSearch: true,
      }}
    />
  );
@@ -90,10 +90,6 @@ export default function SearchResultActions({
  const handleDebugReplay = useCallback(
    (event: SearchResult) => {
      setIsStarting(true);
-      const toastId = toast.loading(
-        t("dialog.starting", { ns: "views/replay" }),
-        { position: "top-center" },
-      );

      axios
        .post("debug_replay/start", {
@@ -102,11 +98,7 @@ export default function SearchResultActions({
          end_time: event.end_time,
        })
        .then((response) => {
-          if (response.status === 200) {
-            toast.success(t("dialog.toast.success", { ns: "views/replay" }), {
-              id: toastId,
-              position: "top-center",
-            });
+          if (response.status === 202 || response.status === 200) {
            navigate("/replay");
          }
        })
@@ -120,7 +112,6 @@ export default function SearchResultActions({
            toast.error(
              t("dialog.toast.alreadyActive", { ns: "views/replay" }),
              {
-                id: toastId,
                position: "top-center",
                closeButton: true,
                dismissible: false,
@@ -135,7 +126,6 @@ export default function SearchResultActions({
            );
          } else {
            toast.error(t("dialog.toast.error", { error: errorMessage }), {
-              id: toastId,
              position: "top-center",
            });
          }
@@ -209,10 +209,7 @@ export default function DebugReplayDialog({
        end_time: range.before,
      })
      .then((response) => {
-        if (response.status === 200) {
-          toast.success(t("dialog.toast.success"), {
-            position: "top-center",
-          });
+        if (response.status === 202 || response.status === 200) {
          setMode("none");
          setRange(undefined);
          navigate("/replay");
@@ -262,10 +262,7 @@ export default function MobileReviewSettingsDrawer({
        end_time: debugReplayRange.before,
      });

-      if (response.status === 200) {
-        toast.success(t("dialog.toast.success", { ns: "views/replay" }), {
-          position: "top-center",
-        });
+      if (response.status === 202 || response.status === 200) {
        setDebugReplayMode("none");
        setDebugReplayRange(undefined);
        setDrawerMode("none");
@@ -91,7 +91,7 @@ export function ProfileSectionDropdown({
              className="group flex items-start justify-between gap-2"
              onClick={() => onSelectProfile(profile)}
            >
-              <div className="flex flex-col items-center gap-2">
+              <div className="flex flex-col items-start gap-2">
                <div className="flex w-full flex-row items-center justify-start gap-2">
                  {isActive && <Check className="h-3.5 w-3.5 shrink-0" />}
                  <span
@@ -53,10 +53,6 @@ export default function EventMenu({
  const handleDebugReplay = useCallback(
    (event: Event) => {
      setIsStarting(true);
-      const toastId = toast.loading(
-        t("dialog.starting", { ns: "views/replay" }),
-        { position: "top-center" },
-      );

      axios
        .post("debug_replay/start", {
@@ -65,11 +61,7 @@ export default function EventMenu({
          end_time: event.end_time,
        })
        .then((response) => {
-          if (response.status === 200) {
-            toast.success(t("dialog.toast.success", { ns: "views/replay" }), {
-              id: toastId,
-              position: "top-center",
-            });
+          if (response.status === 202 || response.status === 200) {
            navigate("/replay");
          }
        })
@@ -83,7 +75,6 @@ export default function EventMenu({
            toast.error(
              t("dialog.toast.alreadyActive", { ns: "views/replay" }),
              {
-                id: toastId,
                position: "top-center",
                closeButton: true,
                dismissible: false,
@@ -98,7 +89,6 @@ export default function EventMenu({
            );
          } else {
            toast.error(t("dialog.toast.error", { error: errorMessage }), {
-              id: toastId,
              position: "top-center",
            });
          }
@@ -1,12 +1,21 @@
 // Hook to detect when camera config overrides global defaults
 import { useMemo } from "react";
+import useSWR from "swr";
+import cloneDeep from "lodash/cloneDeep";
 import isEqual from "lodash/isEqual";
 import get from "lodash/get";
 import set from "lodash/set";
+import type { RJSFSchema } from "@rjsf/utils";
 import { FrigateConfig } from "@/types/frigateConfig";
 import { JsonObject, JsonValue } from "@/types/configForm";
 import { isJsonObject } from "@/lib/utils";
-import { getBaseCameraSectionValue } from "@/utils/configUtil";
+import {
+  getBaseCameraSectionValue,
+  getEffectiveHiddenFields,
+  unsetWithWildcard,
+} from "@/utils/configUtil";
+import { extractSectionSchema } from "@/hooks/use-config-schema";
+import { applySchemaDefaults } from "@/lib/config-schema";

 const INTERNAL_FIELD_SUFFIXES = ["enabled_in_config", "raw_mask"];

@@ -34,6 +43,51 @@ export function normalizeConfigValue(value: unknown): JsonValue {
  return stripInternalFields(value as JsonValue);
 }

+/**
+ * Remove hidden-field paths from a value before comparison so fields the
+ * user can't change in the UI (e.g. motion masks, attribute filters) don't
+ * trigger override badges. Operates on a clone so the input is unchanged.
+ */
+function stripHiddenPaths(value: JsonValue, hiddenFields: string[]): JsonValue {
+  if (hiddenFields.length === 0 || !isJsonObject(value)) return value;
+  const cloned = cloneDeep(value) as JsonObject;
+  for (const path of hiddenFields) {
+    if (!path) continue;
+    unsetWithWildcard(cloned as Record<string, unknown>, path);
+  }
+  return cloned;
+}
+
+/**
+ * Collapse null and empty-object values for override comparisons so
+ * semantically equivalent shapes match. The schema may default `mask: None`
+ * while the runtime camera config carries `mask: {}` — both mean "no
+ * masks", so collapsing them here keeps the equality check honest. We
+ * keep this off the public `normalizeConfigValue` so save-flow code paths
+ * (which serialize form data) aren't affected.
+ **/
+function collapseEmpty(value: JsonValue): JsonValue {
+  if (Array.isArray(value)) {
+    return value.map(collapseEmpty);
+  }
+  if (isJsonObject(value)) {
+    const cleaned: JsonObject = {};
+    for (const [key, val] of Object.entries(value as JsonObject)) {
+      if (val === null || val === undefined) continue;
+      const collapsed = collapseEmpty(val as JsonValue);
+      if (
+        isJsonObject(collapsed) &&
+        Object.keys(collapsed as JsonObject).length === 0
+      ) {
+        continue;
+      }
+      cleaned[key] = collapsed;
+    }
+    return cleaned;
+  }
+  return value;
+}
+
 export interface OverrideStatus {
  /** Whether the field is overridden from global */
  isOverridden: boolean;
@@ -96,6 +150,7 @@ export function useConfigOverride({
  sectionPath,
  compareFields,
 }: UseConfigOverrideOptions) {
+  const { data: schema } = useSWR<RJSFSchema>("config/schema.json");
  return useMemo(() => {
    if (!config) {
      return {
@@ -153,15 +208,42 @@ export function useConfigOverride({
      sectionPath,
    );

-    const normalizedGlobalValue = normalizeConfigValue(globalValue);
+    // Use the effective baseline (schema defaults when the global section
+    // is unset, e.g. motion). Without this, sections omitted from the global
+    // YAML would always read as "overridden" because the raw global value is
+    // null while every camera has populated defaults.
+    const normalizedGlobalValue = getEffectiveGlobalBaseline(
+      config,
+      sectionPath,
+      compareFields,
+      schema,
+    );
    const normalizedCameraValue = normalizeConfigValue(cameraValue);

+    // Collapse empty/null values for comparison so semantically equivalent
+    // shapes (e.g. schema default `mask: null` vs runtime `mask: {}`) match.
+    // Also strip hidden-field paths (motion masks, attribute filters, etc.)
+    // so fields the user can't edit in the UI don't trigger override badges.
+    const hiddenFields = getEffectiveHiddenFields(
+      sectionPath,
+      "camera",
+      config,
+    );
+    const collapsedGlobal = stripHiddenPaths(
+      collapseEmpty(normalizedGlobalValue),
+      hiddenFields,
+    );
+    const collapsedCamera = stripHiddenPaths(
+      collapseEmpty(normalizedCameraValue),
+      hiddenFields,
+    );
+
    const comparisonGlobal = compareFields
-      ? pickFields(normalizedGlobalValue, compareFields)
-      : normalizedGlobalValue;
+      ? pickFields(collapsedGlobal, compareFields)
+      : collapsedGlobal;
    const comparisonCamera = compareFields
-      ? pickFields(normalizedCameraValue, compareFields)
-      : normalizedCameraValue;
+      ? pickFields(collapsedCamera, compareFields)
+      : collapsedCamera;

    // Check if the entire section is overridden
    const isOverridden = compareFields
@@ -176,7 +258,10 @@ export function useConfigOverride({
      const cameraFieldValue = get(normalizedCameraValue, fieldPath);

      return {
-        isOverridden: !isEqual(globalFieldValue, cameraFieldValue),
+        isOverridden: !isEqual(
+          collapseEmpty(globalFieldValue as JsonValue),
+          collapseEmpty(cameraFieldValue as JsonValue),
+        ),
        globalValue: globalFieldValue,
        cameraValue: cameraFieldValue,
      };
@@ -199,9 +284,52 @@ export function useConfigOverride({
      getFieldOverride,
      resetToGlobal,
    };
-  }, [config, cameraName, sectionPath, compareFields]);
+  }, [config, cameraName, sectionPath, compareFields, schema]);
 }

+/**
+ * Sections that can be overridden per-camera, with optional compareFields
+ * filters that scope the override comparison to a subset of fields.
+ */
+export const OVERRIDABLE_SECTIONS: ReadonlyArray<{
+  key: string;
+  compareFields?: string[];
+}> = [
+  { key: "detect" },
+  { key: "record" },
+  { key: "snapshots" },
+  { key: "motion" },
+  { key: "objects" },
+  { key: "review" },
+  { key: "audio" },
+  { key: "notifications" },
+  { key: "live" },
+  { key: "timestamp_style" },
+  {
+    key: "audio_transcription",
+    compareFields: ["enabled", "live_enabled"],
+  },
+  { key: "birdseye", compareFields: ["enabled", "mode"] },
+  { key: "face_recognition", compareFields: ["enabled", "min_area"] },
+  {
+    key: "ffmpeg",
+    compareFields: [
+      "path",
+      "global_args",
+      "hwaccel_args",
+      "input_args",
+      "output_args",
+      "retry_interval",
+      "apple_compatibility",
+      "gpu",
+    ],
+  },
+  {
+    key: "lpr",
+    compareFields: ["enabled", "min_area", "enhancement"],
+  },
+];
+
 /**
 * Hook to get all overridden fields for a camera
 */
@@ -209,6 +337,7 @@ export function useAllCameraOverrides(
  config: FrigateConfig | undefined,
  cameraName: string | undefined,
 ) {
+  const { data: schema } = useSWR<RJSFSchema>("config/schema.json");
  return useMemo(() => {
    if (!config || !cameraName) {
      return [];
@@ -221,58 +350,32 @@ export function useAllCameraOverrides(

    const overriddenSections: string[] = [];

-    // Check each section that can be overridden
-    const sectionsToCheck: Array<{
-      key: string;
-      compareFields?: string[];
-    }> = [
-      { key: "detect" },
-      { key: "record" },
-      { key: "snapshots" },
-      { key: "motion" },
-      { key: "objects" },
-      { key: "review" },
-      { key: "audio" },
-      { key: "notifications" },
-      { key: "live" },
-      { key: "timestamp_style" },
-      {
-        key: "audio_transcription",
-        compareFields: ["enabled", "live_enabled"],
-      },
-      { key: "birdseye", compareFields: ["enabled", "mode"] },
-      { key: "face_recognition", compareFields: ["enabled", "min_area"] },
-      {
-        key: "ffmpeg",
-        compareFields: [
-          "path",
-          "global_args",
-          "hwaccel_args",
-          "input_args",
-          "output_args",
-          "retry_interval",
-          "apple_compatibility",
-          "gpu",
-        ],
-      },
-      {
-        key: "lpr",
-        compareFields: ["enabled", "min_area", "enhancement"],
-      },
-    ];
-
-    for (const { key, compareFields } of sectionsToCheck) {
-      const globalValue = normalizeConfigValue(get(config, key));
+    for (const { key, compareFields } of OVERRIDABLE_SECTIONS) {
+      const globalValue = getEffectiveGlobalBaseline(
+        config,
+        key,
+        compareFields,
+        schema,
+      );
      const cameraValue = normalizeConfigValue(
        getBaseCameraSectionValue(config, cameraName, key),
      );

+      const hiddenFields = getEffectiveHiddenFields(key, "camera", config);
+      const collapsedGlobal = stripHiddenPaths(
+        collapseEmpty(globalValue),
+        hiddenFields,
+      );
+      const collapsedCamera = stripHiddenPaths(
+        collapseEmpty(cameraValue),
+        hiddenFields,
+      );
      const comparisonGlobal = compareFields
-        ? pickFields(globalValue, compareFields)
-        : globalValue;
+        ? pickFields(collapsedGlobal, compareFields)
+        : collapsedGlobal;
      const comparisonCamera = compareFields
-        ? pickFields(cameraValue, compareFields)
-        : cameraValue;
+        ? pickFields(collapsedCamera, compareFields)
+        : collapsedCamera;

      if (
        compareFields && compareFields.length === 0
@@ -284,5 +387,279 @@ export function useAllCameraOverrides(
    }

    return overriddenSections;
-  }, [config, cameraName]);
+  }, [config, cameraName, schema]);
+}
+
+export interface FieldDelta {
+  /** Path relative to the section (e.g. "genai.enabled") */
+  fieldPath: string;
+  globalValue: unknown;
+  cameraValue: unknown;
+  /** Profile name when the override originates from a profile; undefined for camera-level overrides */
+  profileName?: string;
+}
+
+export interface CameraOverrideEntry {
+  camera: string;
+  fieldDeltas: FieldDelta[];
+}
+
+/**
+ * Collect leaf-level field differences between a global section value
+ * and a camera section value. When compareFields is provided, only those
+ * paths are compared; otherwise the objects are walked recursively.
+ */
+function collectFieldDeltas(
+  globalValue: JsonValue,
+  cameraValue: JsonValue,
+  compareFields?: string[],
+  pathPrefix = "",
+): FieldDelta[] {
+  if (compareFields) {
+    if (compareFields.length === 0) {
+      return [];
+    }
+    const deltas: FieldDelta[] = [];
+    for (const path of compareFields) {
+      const g = get(globalValue, path);
+      const c = get(cameraValue, path);
+      if (!isEqual(g, c)) {
+        deltas.push({ fieldPath: path, globalValue: g, cameraValue: c });
+      }
+    }
+    return deltas;
+  }
+
+  if (isJsonObject(globalValue) && isJsonObject(cameraValue)) {
+    const deltas: FieldDelta[] = [];
+    const keys = new Set([
+      ...Object.keys(globalValue),
+      ...Object.keys(cameraValue),
+    ]);
+    for (const key of keys) {
+      const g = (globalValue as JsonObject)[key];
+      const c = (cameraValue as JsonObject)[key];
+      if (isEqual(g, c)) continue;
+      const childPath = pathPrefix ? `${pathPrefix}.${key}` : key;
+      if (isJsonObject(g) && isJsonObject(c)) {
+        deltas.push(...collectFieldDeltas(g, c, undefined, childPath));
+      } else {
+        deltas.push({ fieldPath: childPath, globalValue: g, cameraValue: c });
+      }
+    }
+    return deltas;
+  }
+
+  if (!isEqual(globalValue, cameraValue)) {
+    return [{ fieldPath: pathPrefix, globalValue, cameraValue }];
+  }
+  return [];
+}
+
+/**
+ * Walk a partial config object and return the dot-paths of every leaf value
+ * (primitive or array) actually defined on it. Used to limit profile-vs-global
+ * diffs to keys the profile actually sets, avoiding false "undefined" deltas
+ * for fields the profile leaves unspecified.
+ */
+function collectDefinedLeafPaths(value: JsonValue, prefix = ""): string[] {
+  if (!isJsonObject(value)) {
+    return prefix ? [prefix] : [];
+  }
+  const paths: string[] = [];
+  for (const [key, val] of Object.entries(value as JsonObject)) {
+    const childPath = prefix ? `${prefix}.${key}` : key;
+    if (isJsonObject(val)) {
+      paths.push(...collectDefinedLeafPaths(val as JsonValue, childPath));
+    } else {
+      paths.push(childPath);
+    }
+  }
+  return paths;
+}
+
+function isPathAllowed(path: string, compareFields?: string[]): boolean {
+  if (!compareFields) return true;
+  return compareFields.some(
+    (allowed) => path === allowed || path.startsWith(`${allowed}.`),
+  );
+}
+
+/**
+ * Resolve the effective global baseline used for override comparisons.
+ *
+ * - When the global section is explicitly set, return it (normalized).
+ * - Otherwise prefer the camera-level schema defaults so a camera that
+ *   diverges from the implicit Pydantic default registers as overriding
+ *   even with a single camera in the deployment. (Sections like `motion`
+ *   are dumped with `exclude_unset=True`, so the API returns null whenever
+ *   the user hasn't written the section globally.)
+ * - Fall back to a modal-across-cameras synthetic baseline when the schema
+ *   hasn't loaded yet or the section isn't in it.
+ */
+function getEffectiveGlobalBaseline(
+  config: FrigateConfig,
+  sectionPath: string,
+  compareFields?: string[],
+  schema?: RJSFSchema,
+): JsonValue {
+  const rawGlobalValue = get(config, sectionPath);
+  if (rawGlobalValue != null) {
+    return normalizeConfigValue(rawGlobalValue);
+  }
+  if (schema) {
+    const sectionSchema = extractSectionSchema(schema, sectionPath, "camera");
+    if (sectionSchema) {
+      const defaults = applySchemaDefaults(sectionSchema, {});
+      return normalizeConfigValue(defaults as JsonValue);
+    }
+  }
+  const cameraSectionValues = Object.keys(config.cameras ?? {}).map((name) =>
+    normalizeConfigValue(getBaseCameraSectionValue(config, name, sectionPath)),
+  );
+  return deriveSyntheticGlobalValue(cameraSectionValues, compareFields);
+}
+
+function deriveSyntheticGlobalValue(
+  cameraSectionValues: JsonValue[],
+  compareFields?: string[],
+): JsonObject {
+  const cameras = cameraSectionValues.filter(isJsonObject) as JsonObject[];
+  if (cameras.length === 0) return {};
+
+  const allPaths = new Set<string>();
+  for (const cam of cameras) {
+    for (const path of collectDefinedLeafPaths(cam as JsonValue)) {
+      if (!isPathAllowed(path, compareFields)) continue;
+      allPaths.add(path);
+    }
+  }
+
+  const baseline: JsonObject = {};
+  for (const path of allPaths) {
+    const counts = new Map<string, { value: unknown; count: number }>();
+    for (const cam of cameras) {
+      const v = get(cam, path);
+      const key = JSON.stringify(v ?? null);
+      const existing = counts.get(key);
+      if (existing) {
+        existing.count += 1;
+      } else {
+        counts.set(key, { value: v, count: 1 });
+      }
+    }
+    let modal: { value: unknown; count: number } | undefined;
+    for (const entry of counts.values()) {
+      if (!modal || entry.count > modal.count) modal = entry;
+    }
+    if (modal) {
+      set(baseline, path, modal.value);
+    }
+  }
+  return baseline;
+}
+
+/**
+ * Paths that are intentionally hidden from the cross-camera override summary
+ * because they're inherently per-camera (mask polygons, zone definitions) and
+ * would otherwise dominate the popover with noise. Excludes any path where
+ * `mask` appears as a path segment, so nested keys under a mask dict (e.g.
+ * `mask.global_object_mask_1.coordinates`) are also filtered.
+ */
+function isCrossCameraIgnoredPath(path: string): boolean {
+  if (!path) return false;
+  return path.split(".").includes("mask");
+}
+
+/**
+ * Hook to find every camera that overrides a given global section. Returns
+ * one entry per overriding camera with the specific field-level deltas.
+ * Considers both the camera's own (pre-profile) section value and any of its
+ * defined profiles, so a field overridden only inside a profile still surfaces.
+ *
+ * @example
+ * ```tsx
+ * const entries = useCamerasOverridingSection(config, "review");
+ * // [{ camera: "front_door", fieldDeltas: [{ fieldPath: "genai.enabled", ... }] }]
+ * ```
+ */
+export function useCamerasOverridingSection(
+  config: FrigateConfig | undefined,
+  sectionPath: string,
+): CameraOverrideEntry[] {
+  const { data: schema } = useSWR<RJSFSchema>("config/schema.json");
+  return useMemo(() => {
+    if (!config?.cameras || !sectionPath) {
+      return [];
+    }
+
+    const sectionMeta = OVERRIDABLE_SECTIONS.find((s) => s.key === sectionPath);
+    const compareFields = sectionMeta?.compareFields;
+
+    const cameraNames = Object.keys(config.cameras);
+    const cameraSectionValues = cameraNames.map((name) =>
+      normalizeConfigValue(
+        getBaseCameraSectionValue(config, name, sectionPath),
+      ),
+    );
+
+    const globalValue = collapseEmpty(
+      getEffectiveGlobalBaseline(config, sectionPath, compareFields, schema),
+    );
+
+    const entries: CameraOverrideEntry[] = [];
+    for (let idx = 0; idx < cameraNames.length; idx += 1) {
+      const cameraName = cameraNames[idx];
+      const cameraConfig = config.cameras[cameraName];
+      const deltasByPath = new Map<string, FieldDelta>();
+
+      // 1. Camera-level overrides (uses base_config when a profile is active)
+      const cameraValue = collapseEmpty(cameraSectionValues[idx]);
+      for (const delta of collectFieldDeltas(
+        globalValue,
+        cameraValue,
+        compareFields,
+      )) {
+        if (isCrossCameraIgnoredPath(delta.fieldPath)) continue;
+        deltasByPath.set(delta.fieldPath, delta);
+      }
+
+      // 2. Profile-level overrides — diff only the paths each profile actually
+      // defines, so unspecified-in-profile fields don't register as deltas.
+      const profiles = cameraConfig?.profiles ?? {};
+      for (const profileName of Object.keys(profiles)) {
+        const profileSection = (
+          profiles[profileName] as Record<string, unknown> | undefined
+        )?.[sectionPath];
+        if (profileSection === undefined) continue;
+        const normalizedProfile = normalizeConfigValue(
+          profileSection as JsonValue,
+        );
+        for (const path of collectDefinedLeafPaths(normalizedProfile)) {
+          if (deltasByPath.has(path)) continue;
+          if (isCrossCameraIgnoredPath(path)) continue;
+          if (!isPathAllowed(path, compareFields)) continue;
+          const g = get(globalValue, path);
+          const p = get(normalizedProfile, path);
+          if (!isEqual(g, p)) {
+            deltasByPath.set(path, {
+              fieldPath: path,
+              globalValue: g,
+              cameraValue: p,
+              profileName,
+            });
+          }
+        }
+      }
+
+      if (deltasByPath.size > 0) {
+        entries.push({
+          camera: cameraName,
+          fieldDeltas: Array.from(deltasByPath.values()),
+        });
+      }
+    }
+
+    return entries;
+  }, [config, sectionPath, schema]);
 }
@@ -24,7 +24,7 @@ const getSchemaDefinitions = (schema: RJSFSchema): Record<string, RJSFSchema> =>
 * Extracts and resolves a section schema from the full config schema
 * Uses caching to avoid repeated expensive resolution
 */
-function extractSectionSchema(
+export function extractSectionSchema(
  schema: RJSFSchema,
  sectionPath: string,
  level: "global" | "camera",
@@ -1,4 +1,4 @@
-import { useState, useEffect, useCallback, useRef } from "react";
+import { useState, useEffect, useCallback } from "react";

 type OptimisticStateResult<T> = [T, (newValue: T) => void];

@@ -8,37 +8,32 @@ const useOptimisticState = <T>(
  delay: number = 20,
 ): OptimisticStateResult<T> => {
  const [optimisticValue, setOptimisticValue] = useState<T>(currentState);
-  const debounceTimeout = useRef<ReturnType<typeof setTimeout> | null>(null);

-  const handleValueChange = useCallback(
-    (newValue: T) => {
-      // Update the optimistic value immediately
-      setOptimisticValue(newValue);
-
-      // Clear any pending debounce timeout
-      if (debounceTimeout.current) {
-        clearTimeout(debounceTimeout.current);
-      }
-
-      // Set a new debounce timeout
-      debounceTimeout.current = setTimeout(() => {
-        // Update the actual value using the provided setter function
-        setState(newValue);
-      }, delay);
-    },
-    [delay, setState],
-  );
-
-  useEffect(() => {
-    return () => {
-      if (debounceTimeout.current) {
-        clearTimeout(debounceTimeout.current);
-      }
-    };
+  const handleValueChange = useCallback((newValue: T) => {
+    // Update the optimistic value immediately
+    setOptimisticValue(newValue);
  }, []);

+  // Push the optimistic value to the real setter after the delay. Scoping
+  // this to an effect keyed on optimisticValue ensures the cleanup only
+  // cancels the timer for the value it scheduled — so StrictMode's
+  // effect-rerun (and future re-running mechanisms) reschedules cleanly
+  // instead of dropping the pending update on the floor.
  useEffect(() => {
-    if (currentState != optimisticValue) {
+    if (Object.is(optimisticValue, currentState)) {
+      return;
+    }
+    const id = setTimeout(() => setState(optimisticValue), delay);
+    return () => clearTimeout(id);
+  }, [optimisticValue, currentState, delay, setState]);
+
+  // External updates to currentState should win over a stale optimistic value.
+  // The guard matters under StrictMode: this effect's re-run captures the
+  // *old* currentState in its closure, so without the equality check it
+  // would clobber an optimistic update that another effect (e.g. a search
+  // param sync) made earlier in the same commit.
+  useEffect(() => {
+    if (!Object.is(currentState, optimisticValue)) {
      setOptimisticValue(currentState);
    }
    // sometimes an external action will cause the currentState to change
@@ -89,7 +89,7 @@ export default function useStats(stats: FrigateStats | undefined) {
      }

      const cameraName = config.cameras?.[name]?.friendly_name ?? name;
-      if (config.cameras[name].enabled && cam["camera_fps"] == 0) {
+      if (config.cameras?.[name]?.enabled && cam["camera_fps"] == 0) {
        problems.push({
          text: t("stats.cameraIsOffline", {
            camera: capitalizeFirstLetter(capitalizeAll(cameraName)),
@@ -5,6 +5,7 @@ import {
  CaseCard,
  ExportCard,
 } from "@/components/card/ExportCard";
+import ActivityIndicator from "@/components/indicators/activity-indicator";
 import {
  AlertDialog,
  AlertDialogCancel,
@@ -864,6 +865,7 @@ function Exports() {
          search={search}
          selectedExports={selectedExports}
          selectionMode={selectionMode}
+          isLoading={cases === undefined || rawExports === undefined}
          onSelectExport={onSelectExport}
          setSelected={setSelected}
          renameClip={onHandleRename}
@@ -882,6 +884,7 @@ function Exports() {
          activeJobs={activeJobsByCase["none"] || []}
          selectedExports={selectedExports}
          selectionMode={selectionMode}
+          isLoading={cases === undefined || rawExports === undefined}
          onSelectExport={onSelectExport}
          setSelectedCaseId={setSelectedCaseId}
          setSelected={setSelected}
@@ -903,6 +906,7 @@ type AllExportsViewProps = {
  activeJobs: ExportJob[];
  selectedExports: Export[];
  selectionMode: boolean;
+  isLoading: boolean;
  onSelectExport: (e: Export) => void;
  setSelectedCaseId: (id: string) => void;
  setSelected: (e: Export) => void;
@@ -919,6 +923,7 @@ function AllExportsView({
  activeJobs,
  selectedExports,
  selectionMode,
+  isLoading,
  onSelectExport,
  setSelectedCaseId,
  setSelected,
@@ -1027,6 +1032,8 @@ function AllExportsView({
            </div>
          )}
        </div>
+      ) : isLoading ? (
+        <ActivityIndicator className="absolute left-1/2 top-1/2 -translate-x-1/2 -translate-y-1/2" />
      ) : (
        <div className="absolute left-1/2 top-1/2 flex -translate-x-1/2 -translate-y-1/2 flex-col items-center justify-center text-center">
          <LuFolderX className="size-16" />
@@ -1046,6 +1053,7 @@ type CaseViewProps = {
  search: string;
  selectedExports: Export[];
  selectionMode: boolean;
+  isLoading: boolean;
  onSelectExport: (e: Export) => void;
  setSelected: (e: Export) => void;
  renameClip: (id: string, update: string) => void;
@@ -1063,6 +1071,7 @@ function CaseView({
  search,
  selectedExports,
  selectionMode,
+  isLoading,
  onSelectExport,
  setSelected,
  renameClip,
@@ -1201,6 +1210,10 @@ function CaseView({
            />
          ))}
        </div>
+      ) : isLoading ? (
+        <div className="flex min-h-[16rem] flex-1 items-center justify-center">
+          <ActivityIndicator />
+        </div>
      ) : (
        <div className="flex min-h-[16rem] flex-col items-center justify-center p-6 text-center">
          <LuFolderX className="size-12" />
@@ -42,7 +42,9 @@ import { CameraConfig, FrigateConfig } from "@/types/frigateConfig";
 import { getIconForLabel } from "@/utils/iconUtil";
 import { getTranslatedLabel } from "@/utils/i18n";
 import { Card } from "@/components/ui/card";
+import { Progress } from "@/components/ui/progress";
 import { ObjectType } from "@/types/ws";
+import { useJobStatus } from "@/api/ws";
 import WsMessageFeed from "@/components/ws/WsMessageFeed";
 import { ConfigSectionTemplate } from "@/components/config-form/sections/ConfigSectionTemplate";

@@ -53,6 +55,7 @@ import { isDesktop, isMobile } from "react-device-detect";
 import Logo from "@/components/Logo";
 import { Separator } from "@/components/ui/separator";
 import { useDocDomain } from "@/hooks/use-doc-domain";
+import { useConfigSchema } from "@/hooks/use-config-schema";
 import DebugDrawingLayer from "@/components/overlay/DebugDrawingLayer";
 import { IoMdArrowRoundBack } from "react-icons/io";

@@ -65,6 +68,15 @@ type DebugReplayStatus = {
  live_ready: boolean;
 };

+type DebugReplayJobResults = {
+  current_step: "preparing_clip" | "starting_camera" | null;
+  progress_percent: number | null;
+  source_camera: string | null;
+  replay_camera_name: string | null;
+  start_ts: number | null;
+  end_ts: number | null;
+};
+
 type DebugOptions = {
  bbox: boolean;
  timestamp: boolean;
@@ -105,8 +117,6 @@ const DEBUG_OPTION_I18N_KEY: Record<keyof DebugOptions, string> = {
  paths: "paths",
 };

-const REPLAY_INIT_SKELETON_TIMEOUT_MS = 8000;
-
 export default function Replay() {
  const { t } = useTranslation(["views/replay", "views/settings", "common"]);
  const navigate = useNavigate();
@@ -119,6 +129,9 @@ export default function Replay() {
  } = useSWR<DebugReplayStatus>("debug_replay/status", {
    refreshInterval: 1000,
  });
+  const { payload: replayJob } =
+    useJobStatus<DebugReplayJobResults>("debug_replay");
+  const configSchema = useConfigSchema();
  const [isInitializing, setIsInitializing] = useState(true);

  // Refresh status immediately on mount to avoid showing "no session" briefly
@@ -130,12 +143,6 @@ export default function Replay() {
    initializeStatus();
  }, [refreshStatus]);

-  useEffect(() => {
-    if (status?.live_ready) {
-      setShowReplayInitSkeleton(false);
-    }
-  }, [status?.live_ready]);
-
  const [options, setOptions] = useState<DebugOptions>(DEFAULT_OPTIONS);
  const [isStopping, setIsStopping] = useState(false);
  const [configDialogOpen, setConfigDialogOpen] = useState(false);
@@ -160,11 +167,7 @@ export default function Replay() {
    axios
      .post("debug_replay/stop")
      .then(() => {
-        toast.success(t("dialog.toast.stopped"), {
-          position: "top-center",
-        });
        refreshStatus();
-        navigate("/review");
      })
      .catch((error) => {
        const errorMessage =
@@ -178,7 +181,7 @@ export default function Replay() {
      .finally(() => {
        setIsStopping(false);
      });
-  }, [navigate, refreshStatus, t]);
+  }, [refreshStatus, t]);

  // Camera activity for the replay camera
  const { data: config } = useSWR<FrigateConfig>("config", {
@@ -191,35 +194,10 @@ export default function Replay() {

  const { objects } = useCameraActivity(replayCameraConfig);

-  const [showReplayInitSkeleton, setShowReplayInitSkeleton] = useState(false);
-
  // debug draw
  const containerRef = useRef<HTMLDivElement>(null);
  const [debugDraw, setDebugDraw] = useState(false);

-  useEffect(() => {
-    if (!status?.active || !status.replay_camera) {
-      setShowReplayInitSkeleton(false);
-      return;
-    }
-
-    setShowReplayInitSkeleton(true);
-
-    const timeout = window.setTimeout(() => {
-      setShowReplayInitSkeleton(false);
-    }, REPLAY_INIT_SKELETON_TIMEOUT_MS);
-
-    return () => {
-      window.clearTimeout(timeout);
-    };
-  }, [status?.active, status?.replay_camera]);
-
-  useEffect(() => {
-    if (status?.live_ready) {
-      setShowReplayInitSkeleton(false);
-    }
-  }, [status?.live_ready]);
-
  // Format time range for display
  const timeRangeDisplay = useMemo(() => {
    if (!status?.start_time || !status?.end_time) return "";
@@ -237,8 +215,39 @@ export default function Replay() {
    );
  }

-  // No active session
-  if (!status?.active) {
+  // Startup error (job failed). Only show when status.active is also true so
+  // we don't surface stale failed jobs after a session ended cleanly.
+  if (replayJob?.status === "failed" && status?.active) {
+    return (
+      <div className="flex size-full flex-col items-center justify-center gap-4 p-8">
+        <Heading as="h2" className="text-center">
+          {t("page.startError.title")}
+        </Heading>
+        {replayJob.error_message && (
+          <p className="max-w-xl text-center text-sm text-muted-foreground">
+            {replayJob.error_message}
+          </p>
+        )}
+        <Button
+          variant="default"
+          onClick={() => {
+            axios
+              .post("debug_replay/stop")
+              .catch(() => {})
+              .finally(() => navigate("/review"));
+          }}
+        >
+          {t("page.startError.back")}
+        </Button>
+      </div>
+    );
+  }
+
+  // No active session. Also covers the brief window between the runner
+  // pushing job.status = "cancelled" via WS and the next SWR refresh
+  // flipping status.active to false — without this, render falls through
+  // to the full replay UI and you see a flash of it before stop completes.
+  if (!status?.active || replayJob?.status === "cancelled") {
    return (
      <div className="flex size-full flex-col items-center justify-center gap-4 p-8">
        <MdReplay className="size-12" />
@@ -255,6 +264,52 @@ export default function Replay() {
    );
  }

+  // Startup in progress (job is running). The session is active but the
+  // replay camera isn't ready yet; show progress / phase from the job.
+  const startupStep =
+    replayJob?.status === "running"
+      ? (replayJob.results?.current_step ?? null)
+      : null;
+  if (startupStep === "preparing_clip" || startupStep === "starting_camera") {
+    const phaseTitle =
+      startupStep === "preparing_clip"
+        ? t("page.preparingClip")
+        : t("page.startingCamera");
+    const progressPercent = replayJob?.results?.progress_percent ?? null;
+    const showProgressBar =
+      startupStep === "preparing_clip" && progressPercent != null;
+    return (
+      <div className="flex size-full flex-col items-center justify-center gap-4 p-8">
+        {showProgressBar ? (
+          <div className="flex w-64 flex-col items-center gap-2">
+            <Progress value={progressPercent ?? 0} />
+            <div className="text-xs text-muted-foreground">
+              {Math.round(progressPercent ?? 0)}%
+            </div>
+          </div>
+        ) : (
+          <ActivityIndicator className="size-8" />
+        )}
+        <Heading as="h3" className="text-center">
+          {phaseTitle}
+        </Heading>
+        {startupStep === "preparing_clip" && (
+          <p className="max-w-md text-center text-sm text-muted-foreground">
+            {t("page.preparingClipDesc")}
+          </p>
+        )}
+        <Button
+          variant="outline"
+          size="sm"
+          disabled={isStopping}
+          onClick={handleStop}
+        >
+          {t("button.cancel", { ns: "common" })}
+        </Button>
+      </div>
+    );
+  }
+
  return (
    <div className="flex size-full flex-col overflow-hidden">
      <Toaster position="top-center" closeButton={true} />
@@ -345,27 +400,30 @@ export default function Replay() {
          ) : (
            status.replay_camera && (
              <div className="relative size-full min-h-10" ref={containerRef}>
-                <AutoUpdatingCameraImage
-                  className="size-full"
-                  cameraClasses="relative w-full h-full flex flex-col justify-start"
-                  searchParams={searchParams}
-                  camera={status.replay_camera}
-                  showFps={false}
-                />
-                {debugDraw && (
-                  <DebugDrawingLayer
-                    containerRef={containerRef}
-                    cameraWidth={
-                      config?.cameras?.[status.source_camera ?? ""]?.detect
-                        .width ?? 1280
-                    }
-                    cameraHeight={
-                      config?.cameras?.[status.source_camera ?? ""]?.detect
-                        .height ?? 720
-                    }
-                  />
-                )}
-                {showReplayInitSkeleton && (
+                {status.live_ready ? (
+                  <>
+                    <AutoUpdatingCameraImage
+                      className="size-full"
+                      cameraClasses="relative w-full h-full flex flex-col justify-start"
+                      searchParams={searchParams}
+                      camera={status.replay_camera}
+                      showFps={false}
+                    />
+                    {debugDraw && (
+                      <DebugDrawingLayer
+                        containerRef={containerRef}
+                        cameraWidth={
+                          config?.cameras?.[status.source_camera ?? ""]?.detect
+                            .width ?? 1280
+                        }
+                        cameraHeight={
+                          config?.cameras?.[status.source_camera ?? ""]?.detect
+                            .height ?? 720
+                        }
+                      />
+                    )}
+                  </>
+                ) : (
                  <div className="pointer-events-none absolute inset-0 z-10 size-full rounded-lg bg-background">
                    <Skeleton className="size-full rounded-lg" />
                    <div className="absolute left-1/2 top-1/2 flex -translate-x-1/2 -translate-y-1/2 flex-col items-center justify-center gap-2">
@@ -595,32 +653,38 @@ export default function Replay() {
              {t("page.configurationDesc")}
            </DialogDescription>
          </DialogHeader>
-          <div className="space-y-6">
-            <ConfigSectionTemplate
-              sectionKey="motion"
-              level="replay"
-              cameraName={status.replay_camera ?? undefined}
-              skipSave
-              noStickyButtons
-              requiresRestart={false}
-              collapsible
-              defaultCollapsed={false}
-              showTitle
-              showOverrideIndicator={false}
-            />
-            <ConfigSectionTemplate
-              sectionKey="objects"
-              level="replay"
-              cameraName={status.replay_camera ?? undefined}
-              skipSave
-              noStickyButtons
-              requiresRestart={false}
-              collapsible
-              defaultCollapsed={false}
-              showTitle
-              showOverrideIndicator={false}
-            />
-          </div>
+          {configSchema == null ? (
+            <div className="flex h-40 items-center justify-center">
+              <ActivityIndicator />
+            </div>
+          ) : (
+            <div className="space-y-6">
+              <ConfigSectionTemplate
+                sectionKey="motion"
+                level="replay"
+                cameraName={status.replay_camera ?? undefined}
+                skipSave
+                noStickyButtons
+                requiresRestart={false}
+                collapsible
+                defaultCollapsed={false}
+                showTitle
+                showOverrideIndicator={false}
+              />
+              <ConfigSectionTemplate
+                sectionKey="objects"
+                level="replay"
+                cameraName={status.replay_camera ?? undefined}
+                skipSave
+                noStickyButtons
+                requiresRestart={false}
+                collapsible
+                defaultCollapsed={false}
+                showTitle
+                showOverrideIndicator={false}
+              />
+            </div>
+          )}
        </DialogContent>
      </Dialog>
    </div>
@@ -885,6 +885,7 @@ export default function Settings() {

    // Refresh config from server once
    await mutate("config");
+    mutate("config/raw_paths");

    // Clear hasChanges in sidebar for all successfully saved sections
    if (savedKeys.length > 0) {
@@ -13,6 +13,8 @@ export type JsonArray = JsonValue[];

 export type ConfigSectionData = JsonObject;

+export type HiddenFieldEntry = string | ((config: FrigateConfig) => string[]);
+
 export type ConfigFormContext = {
  level?: "global" | "camera";
  cameraName?: string;
@@ -254,7 +254,10 @@ export function flattenOverrides(

 // lodash `unset` treats `*` as a literal key.  This helper expands wildcard
 // segments so that e.g. `"filters.*.mask"` unsets `filters.<each key>.mask`.
-function unsetWithWildcard(obj: Record<string, unknown>, path: string): void {
+export function unsetWithWildcard(
+  obj: Record<string, unknown>,
+  path: string,
+): void {
  if (!path.includes("*")) {
    unset(obj, path);
    return;
@@ -587,13 +590,14 @@ export function prepareSectionSavePayload(opts: {
  // For profile sections, also hide restart-required fields to match
  // effectiveHiddenFields in BaseSection (prevents spurious deletion markers
  // for fields that are hidden from the form during profile editing).
-  let hiddenFieldsForSanitize = sectionConfig.hiddenFields;
-  if (profileInfo.isProfile && sectionConfig.restartRequired?.length) {
-    const base = sectionConfig.hiddenFields ?? [];
-    hiddenFieldsForSanitize = [
-      ...new Set([...base, ...sectionConfig.restartRequired]),
-    ];
-  }
+  const resolvedHidden = resolveHiddenFieldEntries(
+    sectionConfig.hiddenFields,
+    config,
+  );
+  const hiddenFieldsForSanitize =
+    profileInfo.isProfile && sectionConfig.restartRequired?.length
+      ? [...new Set([...resolvedHidden, ...sectionConfig.restartRequired])]
+      : resolvedHidden;

  // Sanitize raw form data
  const rawData = sanitizeSectionData(
@@ -702,3 +706,36 @@ export function getSectionConfig(
        : entry.camera;
  return mergeSectionConfig(entry.base, overrides);
 }
+
+/**
+ * Resolve the effective hidden-field patterns for a section. Each entry in
+ * `hiddenFields` is either a literal pattern or a function that produces
+ * patterns from the loaded config (e.g. `filters.<attr>` for each
+ * `model.all_attributes` entry on the objects section).
+ */
+export function getEffectiveHiddenFields(
+  sectionKey: string,
+  level: "global" | "camera" | "replay",
+  config: FrigateConfig | undefined,
+): string[] {
+  return resolveHiddenFieldEntries(
+    getSectionConfig(sectionKey, level).hiddenFields,
+    config,
+  );
+}
+
+export function resolveHiddenFieldEntries(
+  entries: SectionConfig["hiddenFields"] | undefined,
+  config: FrigateConfig | undefined,
+): string[] {
+  if (!entries || entries.length === 0) return [];
+  const result: string[] = [];
+  for (const entry of entries) {
+    if (typeof entry === "function") {
+      if (config) result.push(...entry(config));
+    } else {
+      result.push(entry);
+    }
+  }
+  return result;
+}
@@ -1136,6 +1136,12 @@ function MotionReview({
  );
  const [isRegionFilterOpen, setIsRegionFilterOpen] = useState(false);

+  // reset filter when camera changes
+  useEffect(() => {
+    setMotionFilterCells(new Set());
+    setPendingFilterCells(new Set());
+  }, [motionPreviewsCamera]);
+
  const objectReviewItems = useMemo(
    () =>
      (overlapReviewSegments ?? []).filter(
@@ -1072,10 +1072,12 @@ function FrigateCameraFeatures({
              title={
                recordState == "ON"
                  ? t("recording.disable")
-                  : t("recording.enable")
+                  : camera.record.enabled_in_config
+                    ? t("recording.enable")
+                    : t("recording.disabledInConfig")
              }
              onClick={() => sendRecord(recordState == "ON" ? "OFF" : "ON")}
-              disabled={!cameraEnabled}
+              disabled={!cameraEnabled || !camera.record.enabled_in_config}
            />
            <CameraFeatureToggle
              className="p-2 md:p-0"
@@ -14,8 +14,10 @@ import { useTranslation } from "react-i18next";
 import CameraEditForm from "@/components/settings/CameraEditForm";
 import CameraWizardDialog from "@/components/settings/CameraWizardDialog";
 import DeleteCameraDialog from "@/components/overlay/dialog/DeleteCameraDialog";
-import { LuPencil, LuPlus, LuTrash2 } from "react-icons/lu";
+import { LuExternalLink, LuPencil, LuPlus, LuTrash2 } from "react-icons/lu";
 import { IoMdArrowRoundBack } from "react-icons/io";
+import { Link } from "react-router-dom";
+import { useDocDomain } from "@/hooks/use-doc-domain";
 import { isDesktop } from "react-device-detect";
 import { CameraNameLabel } from "@/components/camera/FriendlyNameLabel";
 import { Switch } from "@/components/ui/switch";
@@ -89,6 +91,13 @@ export default function CameraManagementView({
    return [];
  }, [config]);

+  const allCameras = useMemo(() => {
+    if (config) {
+      return Object.keys(config.cameras).sort();
+    }
+    return [];
+  }, [config]);
+
  useEffect(() => {
    document.title = t("documentTitle.cameraManagement");
  }, [t]);
@@ -235,6 +244,15 @@ export default function CameraManagementView({
                      onConfigChanged={updateConfig}
                    />
                  )}
+
+                {config?.lpr?.enabled && allCameras.length > 0 && (
+                  <CameraTypeSection
+                    cameras={allCameras}
+                    config={config}
+                    onConfigChanged={updateConfig}
+                    setRestartDialogOpen={setRestartDialogOpen}
+                  />
+                )}
              </div>
            </>
          ) : (
@@ -295,12 +313,18 @@ type CameraEnableSwitchProps = {
 function CameraEnableSwitch({ cameraName }: CameraEnableSwitchProps) {
  const { payload: enabledState, send: sendEnabled } =
    useEnabledState(cameraName);
+  const { data: config } = useSWR<FrigateConfig>("config");
+
+  const isChecked =
+    enabledState === "ON" || enabledState === "OFF"
+      ? enabledState === "ON"
+      : (config?.cameras?.[cameraName]?.enabled ?? false);

  return (
    <div className="flex flex-row items-center">
      <Switch
        id={`camera-enabled-${cameraName}`}
-        checked={enabledState === "ON"}
+        checked={isChecked}
        onCheckedChange={(isChecked) => {
          sendEnabled(isChecked ? "ON" : "OFF");
        }}
@@ -497,6 +521,196 @@ function CameraConfigEnableSwitch({
  );
 }

+type CameraTypeSectionProps = {
+  cameras: string[];
+  config: FrigateConfig | undefined;
+  onConfigChanged: () => Promise<unknown>;
+  setRestartDialogOpen: React.Dispatch<React.SetStateAction<boolean>>;
+};
+
+function CameraTypeSection({
+  cameras,
+  config,
+  onConfigChanged,
+  setRestartDialogOpen,
+}: CameraTypeSectionProps) {
+  const { t } = useTranslation([
+    "views/settings",
+    "common",
+    "components/dialog",
+  ]);
+  const { getLocaleDocUrl } = useDocDomain();
+  const [savingCamera, setSavingCamera] = useState<string | null>(null);
+  // Optimistic local state: the parsed config API doesn't reflect type
+  // changes until Frigate restarts, so we track saved values locally.
+  const [localOverrides, setLocalOverrides] = useState<Record<string, string>>(
+    {},
+  );
+
+  const handleTypeChange = useCallback(
+    async (camera: string, value: string) => {
+      setSavingCamera(camera);
+      try {
+        const typeValue = value === "lpr" ? "lpr" : null;
+        await axios.put("config/set", {
+          requires_restart: 1,
+          config_data: {
+            cameras: {
+              [camera]: {
+                type: typeValue,
+              },
+            },
+          },
+        });
+        await onConfigChanged();
+
+        setLocalOverrides((prev) => ({
+          ...prev,
+          [camera]: value,
+        }));
+
+        toast.success(
+          t("cameraManagement.cameraType.saveSuccess", {
+            ns: "views/settings",
+            cameraName: camera,
+          }),
+          {
+            position: "top-center",
+            action: (
+              <a onClick={() => setRestartDialogOpen(true)}>
+                <Button>
+                  {t("restart.button", { ns: "components/dialog" })}
+                </Button>
+              </a>
+            ),
+          },
+        );
+      } catch (error) {
+        const errorMessage =
+          axios.isAxiosError(error) &&
+          (error.response?.data?.message || error.response?.data?.detail)
+            ? error.response?.data?.message || error.response?.data?.detail
+            : t("toast.save.error.noMessage", { ns: "common" });
+
+        toast.error(
+          t("toast.save.error.title", { errorMessage, ns: "common" }),
+          { position: "top-center" },
+        );
+      } finally {
+        setSavingCamera(null);
+      }
+    },
+    [onConfigChanged, setRestartDialogOpen, t],
+  );
+
+  const getCameraType = useCallback(
+    (camera: string): string => {
+      const localValue = localOverrides[camera];
+      if (localValue) return localValue;
+
+      const type = config?.cameras?.[camera]?.type;
+      return type === "lpr" ? "lpr" : "normal";
+    },
+    [config, localOverrides],
+  );
+
+  return (
+    <SettingsGroupCard
+      title={t("cameraManagement.cameraType.title", {
+        ns: "views/settings",
+      })}
+    >
+      <div className={SPLIT_ROW_CLASS_NAME}>
+        <div className="space-y-1.5">
+          <Label>
+            {t("cameraManagement.cameraType.label", {
+              ns: "views/settings",
+            })}
+            <RestartRequiredIndicator className="ml-1" />
+          </Label>
+          <p className="hidden text-sm text-muted-foreground md:block">
+            {t("cameraManagement.cameraType.description", {
+              ns: "views/settings",
+            })}
+          </p>
+          <div className="hidden items-center text-sm text-primary md:flex">
+            <Link
+              to={getLocaleDocUrl(
+                "configuration/license_plate_recognition#dedicated-lpr-cameras",
+              )}
+              target="_blank"
+              rel="noopener noreferrer"
+              className="inline"
+            >
+              {t("readTheDocumentation", { ns: "common" })}
+              <LuExternalLink className="ml-2 inline-flex size-3" />
+            </Link>
+          </div>
+        </div>
+        <div className={`${CONTROL_COLUMN_CLASS_NAME} space-y-1.5`}>
+          <div className="max-w-md space-y-2 rounded-lg bg-secondary p-4">
+            {cameras.map((camera) => {
+              const currentType = getCameraType(camera);
+              const isSaving = savingCamera === camera;
+
+              return (
+                <div
+                  key={camera}
+                  className="flex flex-row items-center justify-between"
+                >
+                  <CameraNameLabel camera={camera} />
+                  {isSaving ? (
+                    <ActivityIndicator className="h-5 w-20" size={16} />
+                  ) : (
+                    <Select
+                      value={currentType}
+                      onValueChange={(v) => handleTypeChange(camera, v)}
+                    >
+                      <SelectTrigger className="h-7 w-full max-w-[140px] text-xs">
+                        <SelectValue />
+                      </SelectTrigger>
+                      <SelectContent>
+                        <SelectItem value="normal">
+                          {t("cameraManagement.cameraType.normal", {
+                            ns: "views/settings",
+                          })}
+                        </SelectItem>
+                        <SelectItem value="lpr">
+                          {t("cameraManagement.cameraType.dedicatedLpr", {
+                            ns: "views/settings",
+                          })}
+                        </SelectItem>
+                      </SelectContent>
+                    </Select>
+                  )}
+                </div>
+              );
+            })}
+          </div>
+          <p className="text-sm text-muted-foreground md:hidden">
+            {t("cameraManagement.cameraType.description", {
+              ns: "views/settings",
+            })}
+          </p>
+          <div className="flex items-center text-sm text-primary md:hidden">
+            <Link
+              to={getLocaleDocUrl(
+                "configuration/license_plate_recognition#dedicated-lpr-cameras",
+              )}
+              target="_blank"
+              rel="noopener noreferrer"
+              className="inline"
+            >
+              {t("readTheDocumentation", { ns: "common" })}
+              <LuExternalLink className="ml-2 inline-flex size-3" />
+            </Link>
+          </div>
+        </div>
+      </div>
+    </SettingsGroupCard>
+  );
+}
+
 type ProfileCameraEnableSectionProps = {
  profileState: ProfileState;
  cameras: string[];
@@ -7,13 +7,20 @@ import useSWR from "swr";
 import axios from "axios";
 import { toast } from "sonner";
 import { Pencil, Trash2 } from "lucide-react";
-import { LuChevronDown, LuChevronRight, LuPlus } from "react-icons/lu";
+import {
+  LuChevronDown,
+  LuChevronRight,
+  LuExternalLink,
+  LuPlus,
+} from "react-icons/lu";
+import { Link } from "react-router-dom";
 import type { FrigateConfig } from "@/types/frigateConfig";
 import type { JsonObject } from "@/types/configForm";
 import type { ProfileState, ProfilesApiResponse } from "@/types/profile";
 import { getProfileColor } from "@/utils/profileColors";
 import { PROFILE_ELIGIBLE_SECTIONS } from "@/utils/configUtil";
 import { resolveCameraName } from "@/hooks/use-camera-friendly-name";
+import { useDocDomain } from "@/hooks/use-doc-domain";
 import { cn } from "@/lib/utils";
 import Heading from "@/components/ui/heading";
 import { Button } from "@/components/ui/button";
@@ -66,6 +73,7 @@ export default function ProfilesView({
  setProfilesUIEnabled,
 }: ProfilesViewProps) {
  const { t } = useTranslation(["views/settings", "common"]);
+  const { getLocaleDocUrl } = useDocDomain();
  const { data: config, mutate: updateConfig } =
    useSWR<FrigateConfig>("config");
  const { data: profilesData, mutate: updateProfiles } =
@@ -360,6 +368,17 @@ export default function ProfilesView({
      <div className="my-1 text-sm text-muted-foreground">
        {t("profiles.disabledDescription", { ns: "views/settings" })}
      </div>
+      <div className="flex items-center text-sm text-primary-variant">
+        <Link
+          to={getLocaleDocUrl("configuration/profiles")}
+          target="_blank"
+          rel="noopener noreferrer"
+          className="inline"
+        >
+          {t("readTheDocumentation", { ns: "common" })}
+          <LuExternalLink className="ml-2 inline-flex size-3" />
+        </Link>
+      </div>

      {/* Enable Profiles Toggle — shown only when no profiles exist */}
      {!hasProfiles && setProfilesUIEnabled && (
@@ -2,6 +2,7 @@ import { useCallback, useMemo, useState } from "react";
 import { useTranslation } from "react-i18next";
 import type { SectionConfig } from "@/components/config-form/sections";
 import { ConfigSectionTemplate } from "@/components/config-form/sections";
+import { CameraOverridesBadge } from "@/components/config-form/sections/CameraOverridesBadge";
 import type { PolygonType } from "@/types/canvas";
 import { Badge } from "@/components/ui/badge";
 import {
@@ -167,6 +168,9 @@ export function SingleSectionPage({
          </div>
          {/* Desktop: badge inline next to title */}
          <div className="hidden shrink-0 sm:flex sm:flex-wrap sm:items-center sm:gap-2">
+            {level === "global" && showOverrideIndicator && (
+              <CameraOverridesBadge sectionPath={sectionKey} />
+            )}
            {level === "camera" &&
              showOverrideIndicator &&
              sectionStatus.isOverridden && (
@@ -224,6 +228,9 @@ export function SingleSectionPage({
        </div>
        {/* Mobile: badge below title/description */}
        <div className="flex flex-wrap items-center gap-2 sm:hidden">
+          {level === "global" && showOverrideIndicator && (
+            <CameraOverridesBadge sectionPath={sectionKey} />
+          )}
          {level === "camera" &&
            showOverrideIndicator &&
            sectionStatus.isOverridden && (
@@ -2,6 +2,7 @@ import { useFrigateStats } from "@/api/ws";
 import { CameraLineGraph } from "@/components/graph/LineGraph";
 import CameraInfoDialog from "@/components/overlay/CameraInfoDialog";
 import { ConnectionQualityIndicator } from "@/components/camera/ConnectionQualityIndicator";
+import { EmptyCard } from "@/components/card/EmptyCard";
 import { Skeleton } from "@/components/ui/skeleton";
 import { FrigateConfig } from "@/types/frigateConfig";
 import { FrigateStats } from "@/types/stats";
@@ -13,6 +14,7 @@ import {
  useMemo,
  useState,
 } from "react";
+import { BsFillCameraVideoOffFill } from "react-icons/bs";
 import { MdInfo } from "react-icons/md";
 import {
  Tooltip,
@@ -173,7 +175,7 @@ export default function CameraMetrics({
      }

      Object.entries(stats.cameras).forEach(([key, camStats]) => {
-        if (!config?.cameras[key].enabled) {
+        if (!camStats || !config?.cameras[key]?.enabled) {
          return;
        }

@@ -228,6 +230,10 @@ export default function CameraMetrics({
      }

      Object.entries(stats.cameras).forEach(([key, camStats]) => {
+        if (!camStats) {
+          return;
+        }
+
        if (!(key in series)) {
          const camName = getCameraName(key);
          series[key] = {};
@@ -274,6 +280,17 @@ export default function CameraMetrics({
    }
  }, [showCameraInfoDialog]);

+  if (config && Object.keys(config.cameras).length === 0) {
+    return (
+      <div className="flex size-full items-center justify-center">
+        <EmptyCard
+          icon={<BsFillCameraVideoOffFill className="size-8" />}
+          title={t("cameras.noCameras.title")}
+        />
+      </div>
+    );
+  }
+
  return (
    <div className="scrollbar-container mt-4 flex size-full flex-col gap-3 overflow-y-auto">
      <div className="text-sm font-medium text-muted-foreground">
Author	SHA1	Message	Date
Nicolas Mowen	2a4d3a5eb1	Adjust centering for no overrides	2026-05-08 12:30:41 -06:00
Nicolas Mowen	a1a9fd82a7	Add fields to primary prompt	2026-05-08 08:15:49 -06:00
Nicolas Mowen	733c50c6e8	Simplify JSON since not all providers see or use this the same	2026-05-08 08:15:49 -06:00
Josh Hawkins	7f3118f1ef	add loading spinner to exports	2026-05-08 08:13:45 -05:00
Nicolas Mowen	95e8603055	Improve title	2026-05-07 21:05:34 -06:00
Nicolas Mowen	02ef484972	Change order	2026-05-07 21:02:53 -06:00
Josh HawkinsandGitHub	4ff7ab96dc	Fixes (#23130 ) CI / AMD64 Build (push) Has been cancelled Details CI / ARM Build (push) Has been cancelled Details CI / Jetson Jetpack 6 (push) Has been cancelled Details CI / AMD64 Extra Build (push) Has been cancelled Details CI / ARM Extra Build (push) Has been cancelled Details CI / Synaptics Build (push) Has been cancelled Details CI / Assemble and push default build (push) Has been cancelled Details * respect section hiddenFields when detecting config overrides * change audio events to audio detection to match docs * add field messages for object and review genai * add more config messages * more messages * add guard to prevent race when adding camera dynamically * fix duplicate websocket messages from zombie connection under react strict mode detach ws event handlers before close() in WsProvider cleanup so a CONNECTING socket's deferred onclose can't schedule a reconnect after the next mount resets the unmounted guard, which was spawning a second live ws and duplicating every message * fix double event publishes for stationary objects with attributes	2026-05-07 12:23:02 -06:00
Josh HawkinsandGitHub	d0f44de6bc	UI fixes (#23127 ) * hide camera overrides badge from system sections * show empty card on camera metrics page when no cameras are defined * fix enabled camera state switch after adding via wizard Cameras added mid-session have no WS state until the dispatcher publishes camera_activity (which only happens on a fresh onConnect). Fall back to the config's enabled value so the switch reflects reality immediately after the wizard closes. * guard camera enabled access console would throw errors after adding via camera wizard * fix useOptimisticState dropping debounced setState under StrictMode * use openvino on cpu as default model - faster than tflite on cpu - add to default generated config * use an enum for model_size the frontend will then render this as a select dropdown because of the changes in the json schema * i18n * sync object filter entries with tracked labels in camera config form Filter sub-collapsibles in the camera Objects section are driven by `filters` dict keys, but profile merges and live track-switch edits don't add matching entries, so newly tracked labels (like from a profile override) had no collapsible. Synthesize default filter entries from `track` in the form data so every tracked label renders a collapsible; baseline data also gets the synthesized entries, so save payloads are unchanged. * revalidate raw paths cache after config save so CameraPathWidget shows fresh credentials * fix test * restore masked ffmpeg credentials when persisting camera config * formatting * rebuild ffmpeg commands when enabling recording for the first time Toggling record.enabled from the config UI updated the in-memory config but left ffmpeg running with its original command, so the record output args were never wired in and nothing landed in the cache for the maintainer to move. The record config update now rebuilds ffmpeg_cmds when enabled_in_config transitions, and the camera watchdog restarts ffmpeg on a false to true transition so the record output gets wired in. MQTT toggles, which only flip record.enabled at runtime, are unaffected and continue to work via the maintainer's drop/keep gate. * keep record toggle switch in single camera view disabled until enabled in config * fix override detection for sections unset in the global config Override badges and the blue dot now compare against schema defaults for sections like motion that the API serializes as null when omitted from the global YAML, instead of treating any populated camera config as an override * add support for config-aware patterns in section hiddenFields Section configs can now declare dynamic hidden-field entries as functions of the loaded config; objects.ts uses this to hide auto-populated attribute filters (DHL, face, license_plate, etc.) from the form, save flow, and override popover when those labels aren't user-settable * siimplify object filters handling live updating was getting very messy. users will just need to save once they enable a new object in order to see filters for that object * tweaks * update docs for new detector default * make genai provider required and add special case for UI prevent validation errors from appearing on initial creation of genai provider by setting the first option in the select dropdown as default	2026-05-07 08:53:07 -05:00
Josh Hawkins GitHub Nicolas Mowen	5211590866	Miscellaneous fixes (#23124 ) CI / ARM Build (push) Waiting to run Details CI / Jetson Jetpack 6 (push) Waiting to run Details CI / AMD64 Extra Build (push) Blocked by required conditions Details CI / ARM Extra Build (push) Blocked by required conditions Details CI / Synaptics Build (push) Blocked by required conditions Details CI / Assemble and push default build (push) Blocked by required conditions Details CI / AMD64 Build (push) Waiting to run Details * use continuous expire date when loading reviews for recording cleanup * reset heatmap filter when motion preview camera changes * Add note about speed zones unit when enabled * don't display fps warning for dedicated LPR cameras * language tweaks * allow changing camera type from management UI * i18n * fix ollama tool calling failure when conversation contains multimodal content from live frame tool results * fix mypy --------- Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>	2026-05-06 10:01:50 -06:00
Vinnie Esposito GitHub Nicolas Mowen	704ee9667c	fix(face_recognition): feed BGR (not RGB) to FaceDetectorYN in manual detection branch (#23123 ) CI / AMD64 Build (push) Waiting to run Details CI / ARM Build (push) Waiting to run Details CI / Jetson Jetpack 6 (push) Waiting to run Details CI / AMD64 Extra Build (push) Blocked by required conditions Details CI / ARM Extra Build (push) Blocked by required conditions Details CI / Synaptics Build (push) Blocked by required conditions Details CI / Assemble and push default build (push) Blocked by required conditions Details * fix(face_recognition): feed BGR (not RGB) to FaceDetectorYN in manual detection branch Frigate's `requires_face_detection` branch in `FaceRealTimeProcessor.process_frame` converts the YUV camera frame to RGB and passes it to `cv2.FaceDetectorYN`. YuNet is trained on BGR — feeding it RGB silently degrades detection confidence by ~10× on typical person crops, causing face_recognition to emit no `sub_label` and produce no `train/` entries. There is no log signal because the detector simply returns 0 faces; from outside the box it looks like nobody is walking past any camera. The same file already does the YUV→BGR conversion correctly in the else-branch (was line 271, now line 285) — only the manual-detection branch was missed. ## Reproduction Verified in-pod against the running Frigate's models on identical person crops (snapshot pulled from a real person event): BGR (correct): cv2.FaceDetectorYN ← confidence 0.744 ✓ RGB (current): cv2.FaceDetectorYN ← confidence 0.047 ✗ The `score_threshold=0.5` set on `FaceDetectorYN.create()` filters anything under 0.5 at the detector layer, so the RGB-degraded crops never reach the user-configurable `detection_threshold`. Result: silent outage. ## Fix Three changes in `frigate/data_processing/real_time/face.py`: 1. `cv2.COLOR_YUV2RGB_I420` → `cv2.COLOR_YUV2BGR_I420` 2. Variable rename `rgb` → `bgr` to match 3. Remove the now-redundant `cv2.cvtColor(face_frame, cv2.COLOR_RGB2BGR)` block — `face_frame` is already BGR after the upstream conversion change Net diff: +6 / -7. Pure Python, no new dependencies. ## How a deployment confirms the fix After this change, walking past a camera produces: - `data.attributes` with a `face` entry on the person event (currently empty) - New entries in `/api/faces` `train/` array (currently frozen) - `sub_label` populated on subsequent person events for trained faces Signed-off-by: Vinnie Esposito <vespo21@gmail.com> * Cleanup comment --------- Signed-off-by: Vinnie Esposito <vespo21@gmail.com> Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>	2026-05-05 19:10:24 -05:00
Nicolas MowenandGitHub	76a1230885	ROCm Optimizations (#23118 ) * Update to ROCm 7.2.3 * Add inference time for 9060XT * Update times * Update hardware info for latest ROCm * Add env vars to save kernels and miopen database * re-enable face recognition for ROCm * Update * Save LLVM cache	2026-05-05 16:33:43 -05:00
Josh HawkinsandGitHub	52a3301726	Miscellaneous fixes (#23111 ) CI / AMD64 Build (push) Waiting to run Details CI / ARM Build (push) Waiting to run Details CI / Jetson Jetpack 6 (push) Waiting to run Details CI / AMD64 Extra Build (push) Blocked by required conditions Details CI / ARM Extra Build (push) Blocked by required conditions Details CI / Synaptics Build (push) Blocked by required conditions Details CI / Assemble and push default build (push) Blocked by required conditions Details * return 404 from /api/login if auth is disabled * locale sort object label switches * enable search on object switches field * add profiles docs link	2026-05-05 09:03:49 -06:00
Josh HawkinsandGitHub	f448b259a2	Settings UI improvements (#23109 ) CI / AMD64 Build (push) Waiting to run Details CI / ARM Build (push) Waiting to run Details CI / Jetson Jetpack 6 (push) Waiting to run Details CI / AMD64 Extra Build (push) Blocked by required conditions Details CI / ARM Extra Build (push) Blocked by required conditions Details CI / Synaptics Build (push) Blocked by required conditions Details CI / Assemble and push default build (push) Blocked by required conditions Details * use badge with popover to show which cameras override each global config section * don't use shorthand * use label i18n	2026-05-04 09:50:00 -06:00
Nicolas MowenandGitHub	ef9d7e07b7	Rewrite intel stats (#23108 ) * Rewrite intel GPU stats to use file descriptors instead of intel_gpu_top, leading to significantly better API for interaction and more accurate results * Update tests * Update docs * Adjust approach * Update strings	2026-05-04 10:36:32 -05:00
Josh HawkinsandGitHub	814c497bef	Use Job infrastructure for Debug Replay (#23099 ) CI / AMD64 Build (push) Waiting to run Details CI / ARM Build (push) Waiting to run Details CI / Jetson Jetpack 6 (push) Waiting to run Details CI / AMD64 Extra Build (push) Blocked by required conditions Details CI / ARM Extra Build (push) Blocked by required conditions Details CI / Synaptics Build (push) Blocked by required conditions Details CI / Assemble and push default build (push) Blocked by required conditions Details * use ReplayState enum * extract shared ffmpeg progress helper * make start call non-blocking with worker thread * expose replay state on status endpoint and return 202 from start * cancel in-flight ffmpeg when stop is called during preparation * add replay i18n strings for preparing and error states * show status in replay UI * navigate immediately on 202 from debug replay menus and dialog * remove unused * simplify to use Job infrastructure * tests * cleanup and tweaks * fetch schema * update api spec * formatting * fix e2e test * mypy * clean up * formatting * fix * fix test * don't try to show camera image until status reports ready * simplify loading logic * fix race in latest_frame on debug replay shutdown * remove toast when successfully stopping it gets hidden almost immediately	2026-05-03 14:54:20 -06:00
Josh HawkinsandGitHub	5bc15d4aa9	chapter and thumbnail fixes (#23100 ) - Skip null end_time when building export chapter metadata - Use plain seconds for export thumbnail ffmpeg seek	2026-05-03 13:25:53 -06:00
Josh HawkinsandGitHub	7ad233ef15	fix malformed svg from breaking docs build (#23102 )	2026-05-03 13:21:22 -06:00