diff --git a/docs/data/object_detectors_models.yaml b/docs/data/object_detectors_models.yaml
index f2e560d570..d105c7181f 100644
--- a/docs/data/object_detectors_models.yaml
+++ b/docs/data/object_detectors_models.yaml
@@ -824,6 +824,38 @@ cpu:
models:
- devices:
- cpu:3
+xdna2:
+ title: AMD XDNA2
+ models:
+ - key: yolov9
+ label: YOLOv9
+ recommended: true
+ download: |-
+ Prepare the model using the frigate-xdna setup instructions linked above. For local YOLO models, Frigate must have access to the same ONNX file bytes as the sidecar. The example below uses YOLOv9-C at 320x320. Frigate+ models may instead use the same `plus://MODEL_ID` in Frigate and the sidecar.
+ ui: |-
+ Navigate to **Settings > System > Detection models** and add a model. The ZMQ endpoint is not reported by the hardware probe, so set `devices` to `zmq:tcp://xdna:5555` in YAML. Then, on the same model, open the **Custom Model** tab and configure:
+
+ | Field | Value |
+ | ---------------------------------------- | ------------------------------------------ |
+ | **Custom object detector model path** | `/config/models/yolov9-c-320.onnx` |
+ | **Label map for custom object detector** | `/labelmap/coco-80.txt` |
+ | **Object detection model input width** | `320` |
+ | **Object detection model input height** | `320` |
+ | **Model Input Pixel Color Format** | `rgb` (Frigate's default value) |
+ | **Model Input Tensor Shape** | `nchw` |
+ | **Model Input D Type** | `float` |
+ | **Object Detection Model Type** | `yolo-generic` |
+ yaml: |-
+ models:
+ - devices:
+ - zmq:tcp://xdna:5555
+ model_type: yolo-generic
+ width: 320
+ height: 320
+ input_tensor: nchw
+ input_dtype: float
+ path: /config/models/yolov9-c-320.onnx
+ labelmap_path: /labelmap/coco-80.txt
memryx:
title: MemryX
models:
diff --git a/docs/docs/configuration/advanced/reference.md b/docs/docs/configuration/advanced/reference.md
index 5e0c8f7ce5..7fda1c32a2 100644
--- a/docs/docs/configuration/advanced/reference.md
+++ b/docs/docs/configuration/advanced/reference.md
@@ -294,9 +294,9 @@ ffmpeg:
# Optional: output args for detect streams (default: shown below)
detect: -threads 2 -f rawvideo -pix_fmt yuv420p
# Optional: output args for record streams (default: shown below)
- record: preset-record-generic
+ record: preset-record-generic-audio-aac
# Optional: output args for sub stream record streams (default: the record output args above)
- # record_sub: preset-record-generic
+ # record_sub: preset-record-generic-audio-aac
# Optional: Time in seconds to wait before ffmpeg retries connecting to the camera. (default: shown below)
# If set too low, frigate will retry a connection to the camera's stream too frequently, using up the limited streams some cameras can allow at once
# If set too high, then if a ffmpeg crash or camera stream timeout occurs, you could potentially lose up to a maximum of retry_interval second(s) of footage
diff --git a/docs/docs/configuration/license_plate_recognition.md b/docs/docs/configuration/license_plate_recognition.md
index 2f0645fb1a..1e69fd6be1 100644
--- a/docs/docs/configuration/license_plate_recognition.md
+++ b/docs/docs/configuration/license_plate_recognition.md
@@ -378,10 +378,10 @@ Navigate to .
-| Field | Description |
-| ---------------------------------------------- | ------------------- |
-| **Objects to track** | Add `license_plate` |
-| **Object filters > License Plate > Threshold** | Set to `0.7` |
+| Field | Description |
+| --------------------------------------------------------- | ------------------- |
+| **Objects to track** | Add `license_plate` |
+| **Object filters > License Plate > Confidence threshold** | Set to `0.7` |
Navigate to .
diff --git a/docs/docs/configuration/object_detectors.md b/docs/docs/configuration/object_detectors.md
index 9035d3fb29..9cad47ed23 100644
--- a/docs/docs/configuration/object_detectors.md
+++ b/docs/docs/configuration/object_detectors.md
@@ -30,6 +30,7 @@ Frigate supports multiple different detectors that work on different types of ha
- [ROCm](#amdrocm-gpu-detector): ROCm can run on AMD Discrete GPUs to provide efficient object detection.
- [ONNX](#onnx): ROCm will automatically be detected and used as a detector in the `-rocm` Frigate image when a supported ONNX model is configured.
+- [XDNA2](#amd-xdna2): AMD Ryzen AI / XDNA2 NPUs can run object detection through the community-maintained `frigate-xdna` ZMQ sidecar.
**Apple Silicon**
@@ -567,6 +568,28 @@ When using CPU detectors, you can add one CPU detector per camera. Adding more d
# Community Supported Detectors
+## AMD XDNA2
+
+AMD Ryzen AI / XDNA2 NPUs can be used through the community-maintained
+[frigate-xdna](https://github.com/mitchins/frigate-xdna) detector sidecar.
+The sidecar runs separately from Frigate and connects using Frigate's ZMQ
+detector interface.
+
+Currently qualified on **Ryzen AI Max 300 / Strix Halo**. Other XDNA2 devices
+are not yet qualified; XDNA1 is unsupported.
+
+Follow the frigate-xdna setup instructions to prepare and start the sidecar
+before starting Frigate.
+
+### Configuration {#configuration-xdna2}
+
+Using the detector config below will connect Frigate to the sidecar:
+
+
+
+The example assumes Frigate and the sidecar share a Docker network where the
+sidecar is named `xdna`.
+
## MemryX MX3
This detector is available for use with the MemryX MX3 accelerator M.2 module. Frigate supports the MX3 on compatible hardware platforms, providing efficient and high-performance object detection.
diff --git a/docs/docs/configuration/object_filters.md b/docs/docs/configuration/object_filters.md
index b2e7fca319..53464152cb 100644
--- a/docs/docs/configuration/object_filters.md
+++ b/docs/docs/configuration/object_filters.md
@@ -45,10 +45,10 @@ Any detection below `min_score` will be immediately thrown out and never tracked
Navigate to to set score filters globally.
-| Field | Description |
-| --------------------------------------- | ---------------------------------------------------------------- |
-| **Object filters > Person > Min Score** | Minimum score for a single detection to initiate tracking |
-| **Object filters > Person > Threshold** | Minimum computed (median) score to be considered a true positive |
+| Field | Description |
+| -------------------------------------------------- | ---------------------------------------------------------------- |
+| **Object filters > Person > Minimum confidence** | Minimum score for a single detection to initiate tracking |
+| **Object filters > Person > Confidence threshold** | Minimum computed (median) score to be considered a true positive |
To override score filters for a specific camera, navigate to and select the camera.
@@ -103,12 +103,12 @@ Conceptually, a ratio of 1 is a square, 0.5 is a "tall skinny" box, and 2 is a "
Navigate to to set shape filters globally.
-| Field | Description |
-| --------------------------------------- | ------------------------------------------------------------------------ |
-| **Object filters > Person > Min Area** | Minimum bounding box area in pixels (or decimal for percentage of frame) |
-| **Object filters > Person > Max Area** | Maximum bounding box area in pixels (or decimal for percentage of frame) |
-| **Object filters > Person > Min Ratio** | Minimum width/height ratio of the bounding box |
-| **Object filters > Person > Max Ratio** | Maximum width/height ratio of the bounding box |
+| Field | Description |
+| -------------------------------------------------- | ------------------------------------------------------------------------ |
+| **Object filters > Person > Minimum object area** | Minimum bounding box area in pixels (or decimal for percentage of frame) |
+| **Object filters > Person > Maximum object area** | Maximum bounding box area in pixels (or decimal for percentage of frame) |
+| **Object filters > Person > Minimum aspect ratio** | Minimum width/height ratio of the bounding box |
+| **Object filters > Person > Maximum aspect ratio** | Maximum width/height ratio of the bounding box |
To override shape filters for a specific camera, navigate to and select the camera.
diff --git a/docs/docs/configuration/objects.md b/docs/docs/configuration/objects.md
index e5a24ea081..cded360977 100644
--- a/docs/docs/configuration/objects.md
+++ b/docs/docs/configuration/objects.md
@@ -70,14 +70,14 @@ Object filters help reduce false positives by constraining the size, shape, and
Navigate to .
-| Field | Description |
-| --------------------------------------- | ------------------------------------------------------------------------ |
-| **Object filters > Person > Min Area** | Minimum bounding box area in pixels (or decimal for percentage of frame) |
-| **Object filters > Person > Max Area** | Maximum bounding box area in pixels (or decimal for percentage of frame) |
-| **Object filters > Person > Min Ratio** | Minimum width/height ratio of the bounding box |
-| **Object filters > Person > Max Ratio** | Maximum width/height ratio of the bounding box |
-| **Object filters > Person > Min Score** | Minimum score for the object to initiate tracking |
-| **Object filters > Person > Threshold** | Minimum computed score to be considered a true positive |
+| Field | Description |
+| -------------------------------------------------- | ------------------------------------------------------------------------ |
+| **Object filters > Person > Minimum object area** | Minimum bounding box area in pixels (or decimal for percentage of frame) |
+| **Object filters > Person > Maximum object area** | Maximum bounding box area in pixels (or decimal for percentage of frame) |
+| **Object filters > Person > Minimum aspect ratio** | Minimum width/height ratio of the bounding box |
+| **Object filters > Person > Maximum aspect ratio** | Maximum width/height ratio of the bounding box |
+| **Object filters > Person > Minimum confidence** | Minimum score for the object to initiate tracking |
+| **Object filters > Person > Confidence threshold** | Minimum computed score to be considered a true positive |
To override filters for a specific camera, navigate to .
diff --git a/docs/docs/configuration/profiles.md b/docs/docs/configuration/profiles.md
index 87475d74b3..a47c06ba30 100644
--- a/docs/docs/configuration/profiles.md
+++ b/docs/docs/configuration/profiles.md
@@ -191,14 +191,12 @@ cameras:
detect:
enabled: false
record:
- enabled: false
+ enabled: true
profiles:
away:
enabled: true
detect:
enabled: true
- record:
- enabled: true
home:
enabled: false
```
@@ -251,6 +249,12 @@ Leaving the `objects` section empty (or omitting `track`) does not clear the lis
Fields that require a Frigate restart to take effect cannot be overridden by profiles, since profiles are applied at runtime without restarting. Those fields are hidden when editing a profile override and can only be changed on the base configuration.
+### Why can't a profile enable recording when it's disabled in the base config?
+
+Frigate only sets up a camera's recording stream at startup when recording is enabled in the base config, so enabling it later from a profile has no effect. The same applies to turning recording on from the UI or MQTT.
+
+To keep recording off by default, leave `record.enabled: true` in the base config and create a profile that sets `record.enabled: false`. Activate that profile and it will be restored automatically when Frigate starts.
+
### Can I schedule profiles to be enabled or disabled at certain times?
Not within Frigate itself. Frigate is an NVR, not an automation platform, so it intentionally does not include a scheduler for activating profiles. Instead, activate profiles from an automation platform that already handles time- and event-based triggers well, such as [Home Assistant](https://www.home-assistant.io/) or [Node-RED](https://nodered.org/). These integrate with Frigate and give you far more robust and flexible scheduling than a built-in scheduler could.
diff --git a/docs/docs/configuration/semantic_search.md b/docs/docs/configuration/semantic_search.md
index 30a60d505f..1c115cb576 100644
--- a/docs/docs/configuration/semantic_search.md
+++ b/docs/docs/configuration/semantic_search.md
@@ -245,8 +245,8 @@ Triggers are best configured through the Frigate UI.
1. Navigate to and select a camera from the dropdown menu.
2. Click **Add Trigger** to create a new trigger or use the pencil icon to edit an existing one.
3. In the **Create Trigger** wizard:
- - Enter a **Name** for the trigger (e.g., "Red Car Alert").
- - Enter a descriptive **Friendly Name** for the trigger (e.g., "Red car on the driveway camera").
+ - Enter a **Name** for the trigger (e.g., "Red Car Alert"). Frigate derives the trigger's
+ internal **ID** from this name, which can be revealed and edited with the show/hide toggle.
- Select the **Type** (`Thumbnail` or `Description`).
- For `Thumbnail`, select an image to trigger this action when a similar thumbnail image is detected, based on the threshold.
- For `Description`, enter text to trigger this action when a similar tracked object description is detected.
diff --git a/docs/docs/configuration/zones.md b/docs/docs/configuration/zones.md
index 2a26453203..bd00198f1b 100644
--- a/docs/docs/configuration/zones.md
+++ b/docs/docs/configuration/zones.md
@@ -28,7 +28,7 @@ During testing, enable the Zones option for the [Debug view](/usage/live#the-sin
1. Navigate to and select the desired camera.
2. Under the **Zones** section, click the plus icon to add a new zone.
3. Click on the camera's latest image to create the points for the zone boundary. Click the first point again to close the polygon.
-4. Configure zone options such as **Friendly name**, **Objects**, **Loitering time**, and **Inertia** in the zone editor.
+4. Configure zone options such as **Name**, **Objects**, **Loitering Time**, and **Inertia** in the zone editor.
5. Press **Save** when finished.
@@ -200,7 +200,7 @@ When using loitering zones, a review item will behave in the following way:
1. Navigate to and select the desired camera.
2. Edit or create the zone (e.g., `sidewalk`).
- - Set **Loitering time** to the desired number of seconds (e.g., `4`)
+ - Set **Loitering Time** to the desired number of seconds (e.g., `4`)
- Under **Objects**, add the relevant object types (e.g., `person`)
@@ -291,7 +291,7 @@ Accurate real-world distance measurements are required to estimate speeds. These
1. Navigate to and select the desired camera.
2. Create or edit a zone with exactly 4 points aligned to the ground plane.
-3. In the zone editor, enter the real-world **Distances** between each pair of consecutive points.
+3. In the zone editor, enable **Speed Estimation** and enter the real-world **Line A distance**, **Line B distance**, **Line C distance**, and **Line D distance** between each pair of consecutive points.
- For example, if the distance between the first and second points is 10 meters, between the second and third is 12 meters, etc.
4. Distances are measured in meters (metric) or feet (imperial), depending on the **Unit system** setting.
@@ -358,7 +358,7 @@ Zones can be configured with a minimum speed requirement, meaning an object must
1. Navigate to and select the desired camera.
2. Edit or create the zone with distances configured.
- - Set **Speed threshold** to the desired minimum speed (e.g., `20`)
+ - Set **Speed Threshold** to the desired minimum speed (e.g., `20`)
- The unit is kph or mph, depending on the **Unit system** setting
diff --git a/docs/docs/frigate/glossary.md b/docs/docs/frigate/glossary.md
index d550015670..3c53903e83 100644
--- a/docs/docs/frigate/glossary.md
+++ b/docs/docs/frigate/glossary.md
@@ -54,7 +54,7 @@ An object filter mask drops any [bounding box](#bounding-box) whose bottom cente
## Min Score
-The lowest score a detected object can have to be kept during tracking. Anything scoring below the minimum is assumed to be a [false positive](#false-positive) and discarded.
+The lowest score a detected object can have to be kept during tracking. Anything scoring below the minimum is assumed to be a [false positive](#false-positive) and discarded. Set with `min_score` in the config, shown as **Minimum confidence** in the settings UI.
## Model
@@ -86,7 +86,7 @@ A more specific identity assigned to a [tracked object](#tracked-object-event-in
## Threshold
-The median score an object must reach to be considered a true positive.
+The median score an object must reach to be considered a true positive. Set with `threshold` in the config, shown as **Confidence threshold** in the settings UI.
## Top Score
diff --git a/docs/docs/frigate/hardware.md b/docs/docs/frigate/hardware.md
index a4b106c0a3..da3801ab20 100644
--- a/docs/docs/frigate/hardware.md
+++ b/docs/docs/frigate/hardware.md
@@ -75,6 +75,9 @@ Frigate supports multiple different detectors that work on different types of ha
- [ROCm](#rocm---amd-gpu): ROCm can run on AMD Discrete GPUs to provide efficient object detection
- [Supports limited model architectures](../../configuration/object_detectors#amdrocm-gpu-detector)
- Runs best on discrete AMD GPUs
+- [XDNA2 (Ryzen AI)](#amd-xdna2): AMD XDNA2 NPU (sub-watt power AI/ML processor separate to the GPU) inside Strix and other "AI" branded AMD platforms
+ - Has only been tested with YOLOv9, in theory other graphs may be compiled too.
+ - Runs via ZMQ proxy which adds some latency, only recommended for local connection
**Apple Silicon**
@@ -338,6 +341,32 @@ The inference time of a rk3588 with all 3 cores enabled is typically 25-30 ms fo
| ---------------- | ----------------------------------- |
| yolov9-tiny | ~ 4 ms |
+### AMD Ryzen AI / XDNA2
+
+Frigate supports AMD XDNA2 NPUs through the community-maintained
+frigate-xdna ZMQ sidecar. It works with stock Frigate and supports
+Frigate+ models or compatible local YOLO ONNX models. Models are compiled
+once on the target system and cached for subsequent use.
+
+Currently qualified on **Ryzen AI Max 300 / Strix Halo**. Other XDNA2
+devices are not yet qualified; XDNA1 is unsupported.
+
+Measured YOLOv9 detector latency on Strix Halo:
+
+| Model | 320 | 640 |
+| ----- | ---: | ---: |
+| YOLOv9-T | ~7.4 ms | unsupported |
+| YOLOv9-S | ~9.0 ms | ~20.0 ms |
+| YOLOv9-M | ~13.1 ms | ~34.4 ms |
+| YOLOv9-C | ~14.1 ms | ~35.2 ms |
+| YOLOv9-E | ~69.4 ms | ~224.8 ms |
+
+**YOLOv9-C at 320 is the recommended quality/performance balance.**
+C at 640 is also usable where the lower throughput is acceptable.
+
+Setup, model preparation, and compatibility details are available
+[in the frigate-xdna documentation](https://github.com/mitchins/frigate-xdna).
+
## What does Frigate use the CPU for and what does it use a detector for? (ELI5 Version)
This is taken from a [user question on reddit](https://www.reddit.com/r/homeassistant/comments/q8mgau/comment/hgqbxh5/?utm_source=share&utm_medium=web2x&context=3). Modified slightly for clarity.
diff --git a/docs/docs/integrations/mqtt.md b/docs/docs/integrations/mqtt.md
index 6a3d576ae2..7e4257d3d8 100644
--- a/docs/docs/integrations/mqtt.md
+++ b/docs/docs/integrations/mqtt.md
@@ -11,6 +11,12 @@ MQTT requires a network connection to your broker. This is typically local, but
:::
+:::note
+
+Wherever a topic below includes a camera, mask, or zone name, use its `ID` from the config, not its `friendly_name`. For example, a camera with `friendly_name: "Back Yard"` and ID `back_yard` publishes to `frigate/back_yard/...`, not `frigate/Back Yard/...`.
+
+:::
+
## General Frigate Topics
### `frigate/available`
diff --git a/docs/docs/integrations/third_party_extensions.md b/docs/docs/integrations/third_party_extensions.md
index 64b174a042..69a803f5c2 100644
--- a/docs/docs/integrations/third_party_extensions.md
+++ b/docs/docs/integrations/third_party_extensions.md
@@ -27,6 +27,10 @@ The [Advanced Camera Card](https://card.camera/#/README) is a Home Assistant das
It supports automatically setting the sub labels in Frigate for person objects that are detected and recognized.
This is a fork (with fixed errors and new features) of [original Double Take](https://github.com/jakowenko/double-take) project which, unfortunately, isn't being maintained by author.
+## [frigate-abr](https://github.com/007hacky007/frigate-abr)
+
+[frigate-abr](https://github.com/007hacky007/frigate-abr) is a drop-in Docker image of Frigate that adds adaptive bitrate (ABR) playback for recordings: a sidecar transcodes footage to lower quality tiers on demand, for reviewing over slow remote connections. Segments are transcoded when played and cached, so no additional stream is recorded. Frigate itself is not modified.
+
## [Frigate Notify](https://github.com/0x2142/frigate-notify)
[Frigate Notify](https://github.com/0x2142/frigate-notify) is a simple app designed to send notifications from Frigate to your favorite platforms. Intended to be used with standalone Frigate installations - Home Assistant not required, MQTT is optional but recommended.
diff --git a/docs/docs/plus/faq.md b/docs/docs/plus/faq.md
index 055e2e8633..54b07fb8a4 100644
--- a/docs/docs/plus/faq.md
+++ b/docs/docs/plus/faq.md
@@ -21,7 +21,13 @@ Yes. Models and metadata are stored in the `model_cache` directory within the co
### Can I keep using my Frigate+ models even if I do not renew my subscription?
-Yes. Subscriptions to Frigate+ provide access to the infrastructure used to train the models. Models trained with your subscription are yours to keep and use forever. However, do note that the terms and conditions prohibit you from sharing, reselling, or creating derivative products from the models.
+Yes. Subscriptions to Frigate+ provide access to the infrastructure used to train the models. Models you train during an active subscription remain licensed for your continued use even after your subscription ends — models already in your model cache will keep working indefinitely. An active subscription is required to train new models and download new versions.
+
+### Can I use Frigate+ models commercially?
+
+A standard subscription covers use on camera systems you own or operate, including for your business. A shop, restaurant, warehouse, or office running Frigate+ at its own locations (including multiple locations) is exactly the kind of use the subscription is for.
+What the standard subscription does not cover is using Frigate+ models to provide a product or service to others. If you're deploying models at your customers' sites, bundling them with hardware you sell, or running them as part of a hosted or managed service, even if your customers never receive the model files themselves, you'll need a commercial license.
+Note that professional installers are fine under standard subscriptions when each customer holds their own Frigate+ subscription. The commercial license is for cases where your license powers your customers' sites.
### Why can't I submit images to Frigate+?
diff --git a/docs/docs/plus/first_model.md b/docs/docs/plus/first_model.md
index ac32c500e0..7b3213b15e 100644
--- a/docs/docs/plus/first_model.md
+++ b/docs/docs/plus/first_model.md
@@ -63,20 +63,20 @@ Frigate+ models generally have much higher scores than the default model provide
-Navigate to . Under **Object filters**, set **Min Score** and **Threshold** for each object type, then click **Save**.
+Navigate to . Under **Object filters**, set **Minimum confidence** and **Confidence threshold** for each object type, then click **Save**.
-| Object | Min Score | Threshold |
-| ----------------- | --------- | --------- |
-| **dog** | .7 | .9 |
-| **cat** | .65 | .8 |
-| **face** | .7 | |
-| **package** | .65 | .9 |
-| **license_plate** | .6 | |
-| **amazon** | .75 | |
-| **ups** | .75 | |
-| **fedex** | .75 | |
-| **person** | .65 | .85 |
-| **car** | .65 | .85 |
+| Object | Minimum confidence | Confidence threshold |
+| ----------------- | ------------------ | -------------------- |
+| **dog** | .7 | .9 |
+| **cat** | .65 | .8 |
+| **face** | .7 | |
+| **package** | .65 | .9 |
+| **license_plate** | .6 | |
+| **amazon** | .75 | |
+| **ups** | .75 | |
+| **fedex** | .75 | |
+| **person** | .65 | .85 |
+| **car** | .65 | .85 |
diff --git a/docs/docs/plus/index.md b/docs/docs/plus/index.md
index d86d6ecc60..91b47f75b4 100644
--- a/docs/docs/plus/index.md
+++ b/docs/docs/plus/index.md
@@ -65,11 +65,11 @@ Some users may find that Frigate+ models result in more false positives initiall
Frigate+ models support a more relevant set of objects for security cameras. The labels for annotation in Frigate+ are configurable by editing the camera in the Cameras section of Frigate+. Currently, the following objects are supported:
-- **People**: `person`, `face`
-- **Vehicles**: `car`, `motorcycle`, `bicycle`, `boat`, `school_bus`, `license_plate`
+- **People**: `person`, `face`, `baby`
+- **Vehicles**: `car`, `motorcycle`, `bicycle`, `boat`, `school_bus`, `garbage truck`, `license_plate`
- **Delivery Logos**: `amazon`, `usps`, `ups`, `fedex`, `dhl`, `an_post`, `purolator`, `postnl`, `nzpost`, `postnord`, `gls`, `dpd`, `canada_post`, `royal_mail`
-- **Animals**: `dog`, `cat`, `deer`, `horse`, `bird`, `raccoon`, `fox`, `bear`, `cow`, `squirrel`, `goat`, `rabbit`, `skunk`, `kangaroo`
-- **Other**: `package`, `waste_bin`, `bbq_grill`, `robot_lawnmower`, `umbrella`
+- **Animals**: `dog`, `cat`, `deer`, `horse`, `bird`, `raccoon`, `fox`, `bear`, `cow`, `squirrel`, `goat`, `rabbit`, `skunk`, `kangaroo`, `possum`, `rodent`
+- **Other**: `package`, `waste_bin`, `bbq_grill`, `robot_lawnmower`, `umbrella`, `baby_stroller`
Other object types available in the default Frigate model are not available. Additional object types will be added in future releases.
@@ -77,9 +77,12 @@ Other object types available in the default Frigate model are not available. Add
Candidate labels are also available for annotation. These labels don't have enough data to be included in the model yet, but using them will help add support sooner. You can enable these labels by editing the camera settings.
-Where possible, these labels are mapped to existing labels during training. For example, any `baby` labels are mapped to `person` until support for new labels is added.
+Where possible, these labels are mapped to existing labels during training. For example, any `duck` labels are mapped to `bird` until support for new labels is added.
-The candidate labels are: `baby`, `bpost`, `badger`, `possum`, `rodent`, `chicken`, `groundhog`, `boar`, `hedgehog`, `tractor`, `golf cart`, `garbage truck`, `bus`, `sports ball`, `la_poste`, `lawnmower`, `heron`, `rickshaw`, `wombat`, `auspost`, `aramex`, `bobcat`, `mustelid`, `transoflex`, `airplane`, `drone`, `mountain_lion`, `crocodile`, `turkey`, `baby_stroller`, `monkey`, `coyote`, `porcupine`, `parcelforce`, `sheep`, `snake`, `helicopter`, `lizard`, `duck`, `hermes`, `cargus`, `fan_courier`, `sameday`
+- **Vehicles**: `tractor`, `golf_cart`, `bus`, `airplane`, `helicopter`, `rickshaw`, `scooter`
+- **Delivery Logos**: `bpost`, `auspost`, `aramex`, `transoflex`, `parcelforce`, `hermes`, `cargus`, `fan_courier`, `sameday`, `la_poste`
+- **Animals**: `badger`, `chicken`, `duck`, `turkey`, `groundhog`, `boar`, `hedgehog`, `wombat`, `bobcat`, `mustelid`, `mountain_lion`, `crocodile`, `monkey`, `coyote`, `porcupine`, `sheep`, `snake`, `lizard`, `heron`, `elk`, `moose`, `pig`, `donkey`, `civet`
+- **Other**: `sports_ball`, `drone`, `lawnmower`
Candidate labels are not available for automatic suggestions.
diff --git a/docs/docs/troubleshooting/recordings.md b/docs/docs/troubleshooting/recordings.md
index 5516d9b8db..78eb42bfe2 100644
--- a/docs/docs/troubleshooting/recordings.md
+++ b/docs/docs/troubleshooting/recordings.md
@@ -397,19 +397,11 @@ dmesg | grep -i -E "gpu|drm|reset|hang"
Messages like `trying reset from guc_exec_queue_timedout_job` or similar GPU reset/hang messages indicate a driver or hardware issue. Ensure your kernel and GPU drivers (especially Intel) are up to date.
-#### Step 6: Verify hardware acceleration configuration
-
-An incorrect `hwaccel_args` preset can cause ffmpeg to fail silently or consume excessive CPU, starving the detector of resources.
-
-- After upgrading Frigate, verify your preset matches your hardware (e.g., `preset-intel-qsv-h264` instead of the deprecated `preset-vaapi`).
-- For h265 cameras, use the corresponding h265 preset (e.g., `preset-intel-qsv-h265`).
-- Note that `hwaccel_args` are only relevant for the detect stream. Frigate does not decode the record stream.
-
-#### Step 7: Verify go2rtc stream configuration
+#### Step 6: Verify go2rtc stream configuration
Ensure that the ffmpeg source names in your go2rtc configuration match the correct camera stream. A misconfigured stream name (e.g., copying a config from one camera to another without updating the stream reference) will cause the wrong stream to be used or the stream to fail entirely.
-#### Step 8: Check system resources
+#### Step 7: Check system resources
If none of the above apply, the issue may be a general resource constraint. Monitor the following on your host:
diff --git a/docs/docusaurus.config.ts b/docs/docusaurus.config.ts
index 69ab7c3f70..862db4518f 100644
--- a/docs/docusaurus.config.ts
+++ b/docs/docusaurus.config.ts
@@ -3,6 +3,9 @@ import * as path from "node:path";
import type { Config, PluginConfig } from "@docusaurus/types";
import type * as OpenApiPlugin from "docusaurus-plugin-openapi-docs";
+// Bump when a new stable release ships
+const STABLE_VERSION = "0.18";
+
const config: Config = {
title: "Frigate",
tagline: "NVR With Realtime Object Detection for IP Cameras",
@@ -23,17 +26,17 @@ const config: Config = {
mermaid: true,
},
i18n: {
- defaultLocale: 'en',
- locales: ['en'],
+ defaultLocale: "en",
+ locales: ["en"],
localeConfigs: {
en: {
- label: 'English',
- }
+ label: "English",
+ },
},
},
themeConfig: {
announcementBar: {
- id: 'frigate_plus',
+ id: "frigate_plus",
content: `
🚀
Get more relevant and accurate detections with Frigate+ models.
@@ -45,8 +48,8 @@ const config: Config = {
50% { transform: scale(1.1); }
}
`,
- backgroundColor: '#005f73',
- textColor: '#e0fbfc',
+ backgroundColor: "#005f73",
+ textColor: "#e0fbfc",
isCloseable: false,
},
docs: {
@@ -83,15 +86,15 @@ const config: Config = {
},
},
prism: {
- magicComments:[
+ magicComments: [
{
- className: 'theme-code-block-highlighted-line',
- line: 'highlight-next-line',
- block: {start: 'highlight-start', end: 'highlight-end'},
+ className: "theme-code-block-highlighted-line",
+ line: "highlight-next-line",
+ block: { start: "highlight-start", end: "highlight-end" },
},
{
- className: 'code-block-error-line',
- line: 'highlight-error-line',
+ className: "code-block-error-line",
+ line: "highlight-error-line",
},
],
additionalLanguages: ["bash", "json"],
@@ -131,6 +134,11 @@ const config: Config = {
srcDark: "img/branding/logo-dark.svg",
},
items: [
+ {
+ href: "https://github.com/blakeblackshear/frigate/releases",
+ label: `${STABLE_VERSION}`,
+ position: "left",
+ },
{
to: "/",
activeBasePath: "docs",
@@ -148,19 +156,19 @@ const config: Config = {
position: "right",
},
{
- type: 'localeDropdown',
- position: 'right',
+ type: "localeDropdown",
+ position: "right",
dropdownItemsAfter: [
{
- label: '简体中文(社区翻译)',
- href: 'https://docs.frigate-cn.video',
- }
- ]
+ label: "简体中文(社区翻译)",
+ href: "https://docs.frigate-cn.video",
+ },
+ ],
},
{
- href: 'https://github.com/blakeblackshear/frigate',
- label: 'GitHub',
- position: 'right',
+ href: "https://github.com/blakeblackshear/frigate",
+ label: "GitHub",
+ position: "right",
},
],
},
diff --git a/docs/static/frigate-api.yaml b/docs/static/frigate-api.yaml
index 9ef4801a17..97acaf942c 100644
--- a/docs/static/frigate-api.yaml
+++ b/docs/static/frigate-api.yaml
@@ -4493,6 +4493,16 @@ paths:
- type: 'null'
default: 100
title: Limit
+ - name: offset
+ in: query
+ required: false
+ schema:
+ anyOf:
+ - type: integer
+ minimum: 0
+ - type: 'null'
+ default: 0
+ title: Offset
- name: after
in: query
required: false
@@ -4798,6 +4808,16 @@ paths:
- type: 'null'
default: 50
title: Limit
+ - name: offset
+ in: query
+ required: false
+ schema:
+ anyOf:
+ - type: integer
+ minimum: 0
+ - type: 'null'
+ default: 0
+ title: Offset
- name: cameras
in: query
required: false
diff --git a/frigate/api/auth.py b/frigate/api/auth.py
index fdf235e7b7..ca1da77a84 100644
--- a/frigate/api/auth.py
+++ b/frigate/api/auth.py
@@ -130,23 +130,18 @@ def require_admin_by_default():
if path.startswith(EXEMPT_PREFIXES):
return
- # Dynamic camera path exemption:
- # Any path whose first segment matches a configured camera name should
- # bypass the global admin requirement. These endpoints enforce access
- # via route-level dependencies (e.g. require_camera_access) to ensure
- # per-camera authorization. This allows non-admin authenticated users
- # (e.g. viewer role) to access camera-specific resources without
- # needing admin privileges.
- try:
- if path.startswith("/"):
- first_segment = path.split("/", 2)[1]
- if (
- first_segment
- and first_segment in request.app.frigate_config.cameras
- ):
- return
- except Exception:
- pass
+ # Camera routes enforce per-camera access via route-level dependencies
+ # (e.g. require_camera_access). Match on the route template, not the raw
+ # path, so a camera named like another namespace (e.g. "faces") can't
+ # waive the admin check for that namespace's routes.
+ route = request.scope.get("route")
+ if (
+ route is not None
+ and route.path.startswith("/{camera_name}")
+ and request.path_params.get("camera_name")
+ in request.app.frigate_config.cameras
+ ):
+ return
# For all other paths, require admin role
# Internal port requests have admin role set automatically
diff --git a/frigate/api/defs/query/events_query_parameters.py b/frigate/api/defs/query/events_query_parameters.py
index 06d0dfc3af..80cc77c721 100644
--- a/frigate/api/defs/query/events_query_parameters.py
+++ b/frigate/api/defs/query/events_query_parameters.py
@@ -14,6 +14,7 @@ class EventsQueryParams(BaseModel):
zone: str | None = "all"
zones: str | None = "all"
limit: int | None = 100
+ offset: int | None = Field(0, ge=0)
after: float | None = None
before: float | None = None
time_range: str | None = DEFAULT_TIME_RANGE
@@ -55,6 +56,7 @@ class EventsSearchQueryParams(BaseModel):
deprecated=True,
)
limit: int | None = 50
+ offset: int | None = Field(0, ge=0)
cameras: str | None = "all"
labels: str | None = "all"
sub_labels: str | None = "all"
diff --git a/frigate/api/event.py b/frigate/api/event.py
index 745db697c3..3137b124e6 100644
--- a/frigate/api/event.py
+++ b/frigate/api/event.py
@@ -129,6 +129,7 @@ def events(
zones = zone
limit = params.limit
+ offset = params.offset
after = params.after
before = params.before
time_range = params.time_range
@@ -361,11 +362,15 @@ def events(
else:
order_by = Event.start_time.desc()
+ # offset paging needs a stable order when scores or speeds tie
+ tiebreaker = [Event.id] if sort and sort.startswith(("score", "speed")) else []
+
events = (
Event.select(*selected_columns)
.where(reduce(operator.and_, clauses))
- .order_by(order_by)
+ .order_by(order_by, *tiebreaker)
.limit(limit)
+ .offset(offset)
.dicts()
.iterator()
)
@@ -534,6 +539,7 @@ def events_search(
search_type = params.search_type
include_thumbnails = params.include_thumbnails
limit = params.limit
+ offset = params.offset
sort = params.sort
# Filters
@@ -840,6 +846,9 @@ def events_search(
if search_results:
events_query = events_query.where(Event.id << list(search_results.keys()))
+ # sorts below are stable, so this orders ties for offset paging
+ events_query = events_query.order_by(Event.id)
+
# Fetch events and process them in a single pass
processed_events = []
for event in events_query.dicts():
@@ -897,7 +906,7 @@ def events_search(
processed_events.sort(key=lambda x: x["start_time"], reverse=True)
# Limit the number of events returned
- processed_events = processed_events[:limit]
+ processed_events = processed_events[offset:][:limit]
return JSONResponse(content=processed_events)
diff --git a/frigate/api/review.py b/frigate/api/review.py
index 65776e570f..a3ef283c49 100644
--- a/frigate/api/review.py
+++ b/frigate/api/review.py
@@ -44,6 +44,22 @@ logger = logging.getLogger(__name__)
router = APIRouter(tags=[Tags.review])
+def get_label_clause(label: str, include_audio: bool = True):
+ """Build a clause matching a label within a review segment's data.
+
+ Verified objects are stored with a `-verified` suffix (eg. `person-verified`)
+ so that variant is matched as well.
+ """
+ clause = (ReviewSegment.data["objects"].cast("text") % f'*"{label}"*') | (
+ ReviewSegment.data["objects"].cast("text") % f'*"{label}-verified"*'
+ )
+
+ if include_audio:
+ clause |= ReviewSegment.data["audio"].cast("text") % f'*"{label}"*'
+
+ return clause
+
+
@router.get(
"/review",
response_model=list[ReviewSegmentResponse],
@@ -93,10 +109,7 @@ async def review(
filtered_labels = labels.split(",")
for label in filtered_labels:
- label_clauses.append(
- (ReviewSegment.data["objects"].cast("text") % f'*"{label}"*')
- | (ReviewSegment.data["audio"].cast("text") % f'*"{label}"*')
- )
+ label_clauses.append(get_label_clause(label))
clauses.append(reduce(operator.or_, label_clauses))
if zones != "all":
@@ -239,10 +252,7 @@ async def review_summary(
filtered_labels = labels.split(",")
for label in filtered_labels:
- label_clauses.append(
- (ReviewSegment.data["objects"].cast("text") % f'*"{label}"*')
- | (ReviewSegment.data["audio"].cast("text") % f'*"{label}"*')
- )
+ label_clauses.append(get_label_clause(label))
clauses.append(reduce(operator.or_, label_clauses))
if zones != "all":
# use matching so segments with multiple zones
@@ -340,9 +350,8 @@ async def review_summary(
filtered_labels = labels.split(",")
for label in filtered_labels:
- label_clauses.append(
- ReviewSegment.data["objects"].cast("text") % f'*"{label}"*'
- )
+ label_clauses.append(get_label_clause(label, include_audio=False))
+
clauses.append(reduce(operator.or_, label_clauses))
# Find the time range of available data
diff --git a/frigate/camera/activity_manager.py b/frigate/camera/activity_manager.py
index 9104616171..b5391c6b99 100644
--- a/frigate/camera/activity_manager.py
+++ b/frigate/camera/activity_manager.py
@@ -104,12 +104,13 @@ class CameraActivityManager:
all_objects: list[dict[str, Any]] = []
for camera in new_activity.keys():
- if camera not in self.config.cameras:
+ camera_config = self.config.cameras.get(camera)
+ if camera_config is None:
continue
# handle cameras that were added dynamically
if camera not in self.camera_all_object_counts:
- self.__init_camera(self.config.cameras[camera])
+ self.__init_camera(camera_config)
new_objects = new_activity[camera].get("objects", [])
all_objects.extend(new_objects)
@@ -234,12 +235,13 @@ class AudioActivityManager:
now = datetime.datetime.now().timestamp()
for camera in new_activity.keys():
- if camera not in self.config.cameras:
+ camera_config = self.config.cameras.get(camera)
+ if camera_config is None:
continue
# handle cameras that were added dynamically
if camera not in self.current_audio_detections:
- self.__init_camera(self.config.cameras[camera])
+ self.__init_camera(camera_config)
new_detections = new_activity[camera].get("detections", [])
if self.compare_audio_activity(camera, new_detections, now):
diff --git a/frigate/db/sqlitevecq.py b/frigate/db/sqlitevecq.py
index 2d740f3736..eefd0988d1 100644
--- a/frigate/db/sqlitevecq.py
+++ b/frigate/db/sqlitevecq.py
@@ -1,8 +1,10 @@
import logging
import sqlite3
+import threading
from typing import Any
import regex
+from peewee import DatabaseError
from playhouse.sqliteq import SqliteQueueDatabase
logger = logging.getLogger(__name__)
@@ -17,6 +19,7 @@ class SqliteVecQueueDatabase(SqliteQueueDatabase):
self.load_vec_extension: bool = load_vec_extension
# no extension necessary, sqlite will load correctly for each platform
self.sqlite_vec_path = "/usr/local/lib/vec0"
+ self.upsert_lock = threading.Lock()
super().__init__(*args, **kwargs)
def _connect(self, *args: Any, **kwargs: Any) -> sqlite3.Connection:
@@ -53,6 +56,22 @@ class SqliteVecQueueDatabase(SqliteQueueDatabase):
conn.create_function("REGEXP", 2, regexp)
+ def execute_write(self, sql: str, params: Any = None) -> None:
+ """Run a write and wait for it, so that failures are raised here.
+
+ SqliteQueueDatabase hands non-SELECT statements to a writer thread and
+ stores any exception on the cursor it returns, so callers that ignore
+ that cursor never learn the write failed.
+ """
+ self.execute_sql(sql, params).fetchall()
+
+ def _table_exists(self, table: str) -> bool:
+ cursor = self.execute_sql(
+ "SELECT name FROM sqlite_master WHERE type = 'table' AND name = ?",
+ (table,),
+ )
+ return cursor.fetchone() is not None
+
def _delete_embeddings(self, table: str, event_ids: list[str]) -> None:
"""Delete embeddings for the given events, if the table exists.
@@ -63,17 +82,17 @@ class SqliteVecQueueDatabase(SqliteQueueDatabase):
return
# the embeddings tables are only created once semantic search has run
- cursor = self.execute_sql(
- "SELECT name FROM sqlite_master WHERE type = 'table' AND name = ?",
- (table,),
- )
-
- if cursor.fetchone() is None:
+ if not self._table_exists(table):
logger.debug("Skipping %s cleanup, table does not exist", table)
return
ids = ",".join(["?" for _ in event_ids])
- self.execute_sql(f"DELETE FROM {table} WHERE id IN ({ids})", event_ids)
+
+ # callers treat cleanup as best effort, so log rather than propagate
+ try:
+ self.execute_write(f"DELETE FROM {table} WHERE id IN ({ids})", event_ids)
+ except DatabaseError:
+ logger.exception("Failed to delete embeddings from %s", table)
def delete_embeddings_thumbnail(self, event_ids: list[str]) -> None:
self._delete_embeddings("vec_thumbnails", event_ids)
@@ -81,25 +100,67 @@ class SqliteVecQueueDatabase(SqliteQueueDatabase):
def delete_embeddings_description(self, event_ids: list[str]) -> None:
self._delete_embeddings("vec_descriptions", event_ids)
+ def _restore_vec_info_table(self, table: str) -> None:
+ """Recreate the _info shadow table a legacy vec0 table is missing.
+
+ sqlite-vec added _info in 0.1.6 and drops it unconditionally when a
+ table is destroyed, so tables written by Frigate 0.17 and earlier fail
+ to drop. An empty stub is enough, and leaving it unseeded keeps the
+ table reading as pre-0.1.10 if the drop does not follow.
+ """
+ if not self._table_exists(table) or self._table_exists(f"{table}_info"):
+ return
+
+ logger.debug("Restoring the %s_info shadow table before dropping", table)
+ self.execute_write(
+ f'CREATE TABLE "{table}_info" (key TEXT PRIMARY KEY, value ANY)'
+ )
+
def drop_embeddings_tables(self) -> None:
- self.execute_sql("""
- DROP TABLE vec_descriptions;
- """)
- self.execute_sql("""
- DROP TABLE vec_thumbnails;
- """)
+ for table in ("vec_descriptions", "vec_thumbnails"):
+ self._restore_vec_info_table(table)
+ self.execute_write(f"DROP TABLE IF EXISTS {table}")
def create_embeddings_tables(self) -> None:
"""Create vec0 virtual table for embeddings"""
- self.execute_sql("""
+ self.execute_write("""
CREATE VIRTUAL TABLE IF NOT EXISTS vec_thumbnails USING vec0(
id TEXT PRIMARY KEY,
thumbnail_embedding FLOAT[768] distance_metric=cosine
);
""")
- self.execute_sql("""
+ self.execute_write("""
CREATE VIRTUAL TABLE IF NOT EXISTS vec_descriptions USING vec0(
id TEXT PRIMARY KEY,
description_embedding FLOAT[768] distance_metric=cosine
);
""")
+
+ def upsert_embeddings(
+ self, table: str, column: str, embeddings: dict[str, bytes]
+ ) -> None:
+ """Write embeddings for the given event ids, replacing any that exist.
+
+ vec0 implements neither REPLACE nor UPSERT, so rows that are already
+ there have to be deleted first.
+ """
+ if not embeddings:
+ return
+
+ event_ids = list(embeddings.keys())
+ ids = ",".join(["?" for _ in event_ids])
+ params: list[Any] = []
+
+ for event_id in event_ids:
+ params.extend((event_id, embeddings[event_id]))
+
+ values = ", ".join(["(?, ?)"] * len(event_ids))
+
+ # reindexing and live embedding run on separate threads, and each write
+ # is queued separately, so the delete and the insert have to be held
+ # together or an interleaved pair fails on the vec0 primary key
+ with self.upsert_lock:
+ self.execute_write(f"DELETE FROM {table} WHERE id IN ({ids})", event_ids)
+ self.execute_write(
+ f"INSERT INTO {table}(id, {column}) VALUES {values}", params
+ )
diff --git a/frigate/embeddings/embeddings.py b/frigate/embeddings/embeddings.py
index bf255c6bcc..78e86e5d5b 100644
--- a/frigate/embeddings/embeddings.py
+++ b/frigate/embeddings/embeddings.py
@@ -6,9 +6,10 @@ import logging
import os
import threading
import time
+from typing import Any
import numpy as np
-from peewee import DoesNotExist, IntegrityError
+from peewee import DatabaseError, DoesNotExist, IntegrityError
from PIL import Image
from playhouse.shortcuts import model_to_dict
@@ -207,12 +208,10 @@ class Embeddings:
embedding = self.vision_embedding([thumbnail])[0]
if upsert:
- self.db.execute_sql(
- """
- INSERT OR REPLACE INTO vec_thumbnails(id, thumbnail_embedding)
- VALUES(?, ?)
- """,
- (event_id, serialize(embedding)),
+ self.db.upsert_embeddings(
+ "vec_thumbnails",
+ "thumbnail_embedding",
+ {event_id: serialize(embedding)},
)
self.image_inference_speed.update(datetime.datetime.now().timestamp() - start)
@@ -251,19 +250,12 @@ class Embeddings:
embeddings = self.vision_embedding(valid_thumbs)
if upsert:
- items = []
+ items = {}
for i in range(len(valid_ids)):
- items.append(valid_ids[i])
- items.append(serialize(embeddings[i]))
+ items[valid_ids[i]] = serialize(embeddings[i])
self.image_eps.update()
- self.db.execute_sql(
- """
- INSERT OR REPLACE INTO vec_thumbnails(id, thumbnail_embedding)
- VALUES {}
- """.format(", ".join(["(?, ?)"] * len(valid_ids))),
- items,
- )
+ self.db.upsert_embeddings("vec_thumbnails", "thumbnail_embedding", items)
duration = datetime.datetime.now().timestamp() - start
self.image_inference_speed.update(duration / len(valid_ids))
@@ -277,12 +269,10 @@ class Embeddings:
embedding = self.text_embedding([description])[0]
if upsert:
- self.db.execute_sql(
- """
- INSERT OR REPLACE INTO vec_descriptions(id, description_embedding)
- VALUES(?, ?)
- """,
- (event_id, serialize(embedding)),
+ self.db.upsert_embeddings(
+ "vec_descriptions",
+ "description_embedding",
+ {event_id: serialize(embedding)},
)
self.text_inference_speed.update(datetime.datetime.now().timestamp() - start)
@@ -302,19 +292,14 @@ class Embeddings:
if upsert:
ids = list(event_descriptions.keys())
- items = []
+ items = {}
for i in range(len(ids)):
- items.append(ids[i])
- items.append(serialize(embeddings[i]))
+ items[ids[i]] = serialize(embeddings[i])
self.text_eps.update()
- self.db.execute_sql(
- """
- INSERT OR REPLACE INTO vec_descriptions(id, description_embedding)
- VALUES {}
- """.format(", ".join(["(?, ?)"] * len(ids))),
- items,
+ self.db.upsert_embeddings(
+ "vec_descriptions", "description_embedding", items
)
self.text_inference_speed.update(datetime.datetime.now().timestamp() - start)
@@ -322,6 +307,17 @@ class Embeddings:
return embeddings
def reindex(self) -> None:
+ """Rebuild every tracked object embedding from scratch."""
+ totals: dict[str, Any] = {"status": "indexing"}
+
+ try:
+ self._reindex(totals)
+ except DatabaseError:
+ logger.exception("Unable to reindex tracked object embeddings")
+ totals["status"] = "failed"
+ self.requestor.send_data(UPDATE_EMBEDDINGS_REINDEX_PROGRESS, totals)
+
+ def _reindex(self, totals: dict[str, Any]) -> None:
logger.info("Indexing tracked object embeddings...")
self.db.drop_embeddings_tables()
@@ -346,14 +342,18 @@ class Embeddings:
batch_size = 32
current_page = 1
- totals = {
- "thumbnails": 0,
- "descriptions": 0,
- "processed_objects": total_events - 1 if total_events < batch_size else 0,
- "total_objects": total_events,
- "time_remaining": 0 if total_events < batch_size else -1,
- "status": "indexing",
- }
+ totals.update(
+ {
+ "thumbnails": 0,
+ "descriptions": 0,
+ "processed_objects": total_events - 1
+ if total_events < batch_size
+ else 0,
+ "total_objects": total_events,
+ "time_remaining": 0 if total_events < batch_size else -1,
+ "status": "indexing",
+ }
+ )
self.requestor.send_data(UPDATE_EMBEDDINGS_REINDEX_PROGRESS, totals)
diff --git a/frigate/events/cleanup.py b/frigate/events/cleanup.py
index d4bee61a05..5cd69cd4d9 100644
--- a/frigate/events/cleanup.py
+++ b/frigate/events/cleanup.py
@@ -365,6 +365,7 @@ class EventCleanup(threading.Thread):
chunk = ids_to_delete[i : i + CHUNK_SIZE]
logger.debug(f"Deleting {len(chunk)} events from the database")
Event.delete().where(Event.id << chunk).execute()
+ Timeline.delete().where(Timeline.source_id << chunk).execute()
# embeddings are always cleaned up, even when semantic search
# is disabled, so that they don't outlive their events
diff --git a/frigate/ffmpeg_presets.py b/frigate/ffmpeg_presets.py
index 152ed28508..e1a74b2fc4 100644
--- a/frigate/ffmpeg_presets.py
+++ b/frigate/ffmpeg_presets.py
@@ -126,8 +126,8 @@ PRESETS_HW_ACCEL_SCALE = {
"preset-apple-silicon-h264": "-r {0} -vf fps={0},scale={1}:{2}",
"preset-apple-silicon-h265": "-r {0} -vf fps={0},scale={1}:{2}",
FFMPEG_HWACCEL_VAAPI: "-r {0} -vf fps={0},scale_vaapi=w={1}:h={2},hwdownload,format=nv12",
- "preset-intel-qsv-h264": "-r {0} -vf vpp_qsv=w={1}:h={2}:format=nv12,hwdownload,format=nv12,fps={0},format=yuv420p",
- "preset-intel-qsv-h265": "-r {0} -vf vpp_qsv=w={1}:h={2}:format=nv12,hwdownload,format=nv12,fps={0},format=yuv420p",
+ "preset-intel-qsv-h264": "-r {0} -vf fps={0},vpp_qsv=w={1}:h={2}:format=nv12,hwdownload,format=nv12,format=yuv420p",
+ "preset-intel-qsv-h265": "-r {0} -vf fps={0},vpp_qsv=w={1}:h={2}:format=nv12,hwdownload,format=nv12,format=yuv420p",
FFMPEG_HWACCEL_NVIDIA: "-r {0} -vf fps={0},scale_cuda=w={1}:h={2},hwdownload,format=nv12",
"preset-jetson-h264": "-r {0}", # scaled in decoder
"preset-jetson-h265": "-r {0}", # scaled in decoder
diff --git a/frigate/record/maintainer.py b/frigate/record/maintainer.py
index 9aa15752c7..4a2466f2ed 100644
--- a/frigate/record/maintainer.py
+++ b/frigate/record/maintainer.py
@@ -691,6 +691,22 @@ class RecordingMaintainer(threading.Thread):
if start_resolved is not None:
start_resolved.set()
+ # assume that empty means the relevant recording info has not been received yet
+ camera_info = self.object_recordings_info[camera]
+ most_recently_processed_frame_time = (
+ camera_info[-1][0] if len(camera_info) > 0 else 0
+ )
+
+ # ensure delayed segment info does not lead to lost segments, every
+ # retention decision below depends on complete stats for the segment
+ if (
+ datetime.datetime.fromtimestamp(
+ most_recently_processed_frame_time
+ ).astimezone(datetime.UTC)
+ < end_time
+ ):
+ return None
+
record_config = self.config.cameras[camera].record
# sub's alerts/detections carry the retain mode directly, unlike
@@ -718,43 +734,28 @@ class RecordingMaintainer(threading.Thread):
# we should first just check if this segment matches that
# and avoid any DB calls
if highest is not None:
- # assume that empty means the relevant recording info has not been received yet
- camera_info = self.object_recordings_info[camera]
- most_recently_processed_frame_time = (
- camera_info[-1][0] if len(camera_info) > 0 else 0
+ record_mode = (
+ RetainModeEnum.all if highest == "continuous" else RetainModeEnum.motion
)
+ segment_stats = self.segment_stats(camera, start_time, end_time)
- # ensure delayed segment info does not lead to lost segments
- if (
- datetime.datetime.fromtimestamp(
- most_recently_processed_frame_time
- ).astimezone(datetime.UTC)
- >= end_time
- ):
- record_mode = (
- RetainModeEnum.all
- if highest == "continuous"
- else RetainModeEnum.motion
+ # Here we only check if we should move the segment based on non-object recording retention
+ # we will always want to check for overlapping review items below before dropping the segment
+ if not segment_stats.should_discard_segment(record_mode):
+ return await self.move_segment(
+ camera,
+ stream_type,
+ start_time,
+ end_time,
+ duration,
+ cache_path,
+ segment_stats,
+ has_audio,
+ audio_rate,
+ audio_codec,
+ video_codec,
+ keyframes,
)
- segment_stats = self.segment_stats(camera, start_time, end_time)
-
- # Here we only check if we should move the segment based on non-object recording retention
- # we will always want to check for overlapping review items below before dropping the segment
- if not segment_stats.should_discard_segment(record_mode):
- return await self.move_segment(
- camera,
- stream_type,
- start_time,
- end_time,
- duration,
- cache_path,
- segment_stats,
- has_audio,
- audio_rate,
- audio_codec,
- video_codec,
- keyframes,
- )
# we fell through the continuous / motion check, so we need to check the review items
# if the cached segment overlaps with the review items:
@@ -816,10 +817,6 @@ class RecordingMaintainer(threading.Thread):
# continuous/motion retention (either disabled or segment_stats said
# discard), so waiting longer just fills the cache.
else:
- camera_info = self.object_recordings_info[camera]
- most_recently_processed_frame_time = (
- camera_info[-1][0] if len(camera_info) > 0 else 0
- )
retain_cutoff = datetime.datetime.fromtimestamp(
most_recently_processed_frame_time - record_config.event_pre_capture
).astimezone(datetime.UTC)
diff --git a/frigate/stats/util.py b/frigate/stats/util.py
index 620f8d691d..20f9cc2837 100644
--- a/frigate/stats/util.py
+++ b/frigate/stats/util.py
@@ -248,8 +248,9 @@ def stats_snapshot(
total_camera_fps = total_process_fps = total_skipped_fps = total_detection_fps = 0
stats["cameras"] = {}
- for name, camera_stats in camera_metrics.items():
- if name not in config.cameras:
+ for name, camera_stats in list(camera_metrics.items()):
+ camera_config = config.cameras.get(name)
+ if camera_config is None:
continue
total_camera_fps += camera_stats.camera_fps.value
@@ -266,7 +267,7 @@ def stats_snapshot(
# Calculate connection quality based on current state
# This is computed at stats-collection time so offline cameras
# correctly show as unusable rather than excellent
- expected_fps = config.cameras[name].detect.fps
+ expected_fps = camera_config.detect.fps
current_fps = camera_stats.camera_fps.value
reconnects = camera_stats.reconnects_last_hour.value
stalls = camera_stats.stalls_last_hour.value
@@ -299,7 +300,7 @@ def stats_snapshot(
config.cameras[name].enabled,
),
"detection_fps": round(camera_stats.detection_fps.value, 2),
- "detection_enabled": config.cameras[name].detect.enabled,
+ "detection_enabled": camera_config.detect.enabled,
"pid": pid,
"capture_pid": capture_pid,
"ffmpeg_pid": ffmpeg_pid,
diff --git a/frigate/test/http_api/base_http_test.py b/frigate/test/http_api/base_http_test.py
index 1cee0ae3ef..22f6cad5ab 100644
--- a/frigate/test/http_api/base_http_test.py
+++ b/frigate/test/http_api/base_http_test.py
@@ -145,7 +145,11 @@ class BaseTestHttp(unittest.TestCase):
pass
def create_app(
- self, stats=None, event_metadata_publisher=None, notice_registry=None
+ self,
+ stats=None,
+ event_metadata_publisher=None,
+ notice_registry=None,
+ enforce_default_admin=False,
):
from frigate.api.auth import get_allowed_cameras_for_filter, get_current_user
@@ -160,7 +164,7 @@ class BaseTestHttp(unittest.TestCase):
event_metadata_publisher,
None,
DebugReplayManager(),
- enforce_default_admin=False,
+ enforce_default_admin=enforce_default_admin,
notice_registry=notice_registry,
)
diff --git a/frigate/test/http_api/test_http_app.py b/frigate/test/http_api/test_http_app.py
index 3462a4f108..d135704451 100644
--- a/frigate/test/http_api/test_http_app.py
+++ b/frigate/test/http_api/test_http_app.py
@@ -49,6 +49,25 @@ class TestHttpApp(BaseTestHttp):
assert response.status_code == 200
assert response.json()["front_door"]["usage_percent"] == 25.0
+ def test_camera_name_collision_keeps_admin_default(self):
+ self.minimal_config["cameras"]["faces"] = self.minimal_config["cameras"].pop(
+ "front_door"
+ )
+ app = super().create_app(enforce_default_admin=True)
+ viewer = {"remote-user": "viewer", "remote-role": "viewer"}
+
+ with AuthTestClient(app) as client:
+ assert client.get("/faces", headers=viewer).status_code == 403
+ assert client.get("/faces").status_code == 200
+ assert (
+ client.post("/faces/train/person/classify", headers=viewer).status_code
+ == 403
+ )
+
+ # Camera routes for the same name stay reachable by viewers
+ response = client.get("/faces/recordings/summary", headers=viewer)
+ assert response.status_code == 200
+
def test_config_set_in_memory_replaces_objects_track_list(self):
self.minimal_config["cameras"]["front_door"]["objects"] = {
"track": ["person", "car"],
diff --git a/frigate/test/http_api/test_http_event.py b/frigate/test/http_api/test_http_event.py
index 8aca6577d9..959fe6dbc2 100644
--- a/frigate/test/http_api/test_http_event.py
+++ b/frigate/test/http_api/test_http_event.py
@@ -168,6 +168,29 @@ class TestHttpApp(BaseTestHttp):
assert events[0]["id"] == id
assert events[1]["id"] == id2
+ def test_get_event_list_offset_pages_score_sort(self):
+ now = datetime.now().timestamp()
+ scores = [0.6, 0.9, 0.7, 0.95, 0.8]
+
+ with AuthTestClient(self.app) as client:
+ for i, score in enumerate(scores):
+ super().insert_mock_event(
+ f"event-{i}", start_time=now + i, data={"score": score}
+ )
+
+ params = {"sort": "score_desc"}
+ full = [e["id"] for e in client.get("/events", params=params).json()]
+ paged = [
+ e["id"]
+ for offset in (0, 2, 4)
+ for e in client.get(
+ "/events", params={**params, "limit": 2, "offset": offset}
+ ).json()
+ ]
+
+ assert full == ["event-3", "event-1", "event-4", "event-2", "event-0"]
+ assert paged == full
+
def test_get_event_list_match_multilingual_attribute(self):
event_id = "123456.zh"
attribute = "中文标签"
@@ -219,6 +242,85 @@ class TestHttpApp(BaseTestHttp):
assert len(events) == 1
assert events[0]["id"] == event_id
+ def test_events_search_offset_pages_score_sort(self):
+ now = datetime.now().timestamp()
+ scores = [0.6, 0.9, 0.7, 0.95, 0.8]
+ ids = [f"event-{i}" for i in range(len(scores))]
+ mock_embeddings = Mock()
+ mock_embeddings.search_thumbnail.return_value = [
+ (event_id, 0.1 * i) for i, event_id in enumerate(ids)
+ ]
+
+ self.app.frigate_config.semantic_search.enabled = True
+ self.app.embeddings = mock_embeddings
+
+ with AuthTestClient(self.app) as client:
+ for i, score in enumerate(scores):
+ super().insert_mock_event(
+ ids[i], start_time=now + i, data={"score": score}
+ )
+
+ params = {
+ "search_type": "similarity",
+ "event_id": ids[0],
+ "sort": "score_desc",
+ }
+ paged = [
+ e["id"]
+ for offset in (0, 2, 4)
+ for e in client.get(
+ "/events/search",
+ params={**params, "limit": 2, "offset": offset},
+ ).json()
+ ]
+
+ assert paged == ["event-3", "event-1", "event-4", "event-2", "event-0"]
+
+ def test_events_search_offset_pages_orders_ties_by_id(self):
+ now = datetime.now().timestamp()
+ ids = ["event-c", "event-a", "event-b"]
+ mock_embeddings = Mock()
+ mock_embeddings.search_thumbnail.return_value = [
+ (event_id, 0.1) for event_id in ids
+ ]
+
+ self.app.frigate_config.semantic_search.enabled = True
+ self.app.embeddings = mock_embeddings
+
+ with AuthTestClient(self.app) as client:
+ for i, event_id in enumerate(ids):
+ super().insert_mock_event(
+ event_id, start_time=now + i, data={"score": 0.8}
+ )
+
+ for sort in ("score_desc", "relevance"):
+ params = {
+ "search_type": "similarity",
+ "event_id": ids[0],
+ "sort": sort,
+ }
+ paged = [
+ e["id"]
+ for offset in (0, 1, 2)
+ for e in client.get(
+ "/events/search",
+ params={**params, "limit": 1, "offset": offset},
+ ).json()
+ ]
+
+ assert paged == ["event-a", "event-b", "event-c"]
+
+ def test_event_list_rejects_negative_offset(self):
+ with AuthTestClient(self.app) as client:
+ response = client.get("/events", params={"offset": -5})
+ assert response.status_code == 422
+
+ response = client.get(
+ "/events/search",
+ params={"query": "car", "offset": -5},
+ )
+ assert response.status_code == 422
+
def test_similarity_search_hides_unauthorized_anchor_event(self):
mock_embeddings = Mock()
self.app.frigate_config.semantic_search.enabled = True
diff --git a/frigate/test/http_api/test_http_review.py b/frigate/test/http_api/test_http_review.py
index 146971ae5a..1245ae9ad7 100644
--- a/frigate/test/http_api/test_http_review.py
+++ b/frigate/test/http_api/test_http_review.py
@@ -240,9 +240,101 @@ class TestHttpReview(BaseTestHttp):
assert len(response_json) == 1
assert response_json[0]["id"] == id_reviewed
+ def test_get_review_with_label_filter_matches_verified(self):
+ """Test that a label filter also matches the `-verified` variant."""
+ now = datetime.now().timestamp()
+
+ with AuthTestClient(self.app) as client:
+ super().insert_mock_review_segment(
+ "123456.person", now, now + 2, data={"objects": ["person"]}
+ )
+ super().insert_mock_review_segment(
+ "123456.verified", now, now + 2, data={"objects": ["person-verified"]}
+ )
+ super().insert_mock_review_segment(
+ "123456.car", now, now + 2, data={"objects": ["car"]}
+ )
+
+ params = {
+ "labels": "person",
+ "after": now - 1,
+ "before": now + 3,
+ }
+ response = client.get("/review", params=params)
+ assert response.status_code == 200
+ response_json = response.json()
+ assert {r["id"] for r in response_json} == {
+ "123456.person",
+ "123456.verified",
+ }
+
+ def test_get_review_with_label_filter_does_not_match_prefix(self):
+ """Test that a label filter does not match labels that only share a prefix."""
+ now = datetime.now().timestamp()
+
+ with AuthTestClient(self.app) as client:
+ super().insert_mock_review_segment(
+ "123456.carrot", now, now + 2, data={"objects": ["carrot"]}
+ )
+
+ params = {
+ "labels": "car",
+ "after": now - 1,
+ "before": now + 3,
+ }
+ response = client.get("/review", params=params)
+ assert response.status_code == 200
+ assert len(response.json()) == 0
+
+ def test_get_review_with_audio_label_filter(self):
+ """Test that a label filter still matches audio labels."""
+ now = datetime.now().timestamp()
+
+ with AuthTestClient(self.app) as client:
+ super().insert_mock_review_segment(
+ "123456.audio", now, now + 2, data={"audio": ["speech"]}
+ )
+
+ params = {
+ "labels": "speech",
+ "after": now - 1,
+ "before": now + 3,
+ }
+ response = client.get("/review", params=params)
+ assert response.status_code == 200
+ response_json = response.json()
+ assert len(response_json) == 1
+ assert response_json[0]["id"] == "123456.audio"
+
####################################################################################################################
################################### GET /review/summary Endpoint #################################################
####################################################################################################################
+ def test_get_review_summary_label_filter_matches_verified(self):
+ """Test that the summary label filter also matches the `-verified` variant."""
+ with AuthTestClient(self.app) as client:
+ super().insert_mock_review_segment(
+ "123456.verified", data={"objects": ["person-verified"]}
+ )
+ super().insert_mock_review_segment(
+ "123456.car", data={"objects": ["car"]}, severity=SeverityEnum.detection
+ )
+
+ params = {
+ "cameras": "front_door",
+ "labels": "person",
+ "zones": "all",
+ "timezone": "utc",
+ }
+ response = client.get("/review/summary", params=params)
+ assert response.status_code == 200
+ response_json = response.json()
+ assert response_json["last24Hours"]["total_alert"] == 1
+ assert response_json["last24Hours"]["total_detection"] == 0
+
+ today_formatted = datetime.today().strftime("%Y-%m-%d")
+ assert response_json[today_formatted]["total_alert"] == 1
+ assert response_json[today_formatted]["total_detection"] == 0
+
def test_get_review_summary_all_filters(self):
with AuthTestClient(self.app) as client:
super().insert_mock_review_segment("123456.random")
diff --git a/frigate/test/test_maintainer.py b/frigate/test/test_maintainer.py
index b1f78845b1..19ad783409 100644
--- a/frigate/test/test_maintainer.py
+++ b/frigate/test/test_maintainer.py
@@ -16,7 +16,7 @@ for name in _MOCKED_MODULES:
sys.modules[name] = MagicMock()
# Now import the class under test
-from frigate.config import FrigateConfig # noqa: E402
+from frigate.config import FrigateConfig, RetainModeEnum # noqa: E402
from frigate.record.maintainer import RecordingMaintainer # noqa: E402
# Restore original modules (or remove mock if there was no original)
@@ -124,6 +124,80 @@ class TestMaintainer(unittest.IsolatedAsyncioTestCase):
self.assertIsNone(result)
maintainer.drop_segment.assert_called_once_with(cache_path)
+ async def test_defers_review_overlap_segment_until_metadata_catches_up(self):
+ # Regression: a segment overlapping an active_objects review must not
+ # be dropped while detection metadata lags behind the segment end,
+ # the missing frames may hold the active objects (or continuous
+ # retention would keep it anyway).
+ config = MagicMock(spec=FrigateConfig)
+
+ camera_config = MagicMock()
+ camera_config.record.enabled = True
+ camera_config.record.continuous.days = 7
+ camera_config.record.motion.days = 0
+ camera_config.record.alerts.retain.mode = RetainModeEnum.active_objects
+ camera_config.record.get_review_pre_capture.return_value = 5
+ camera_config.record.get_review_post_capture.return_value = 5
+ config.cameras = {"test_cam": camera_config}
+
+ stop_event = MagicMock()
+ maintainer = RecordingMaintainer(config, stop_event)
+
+ now = datetime.datetime.now(datetime.UTC)
+ start_time = now - datetime.timedelta(seconds=20)
+ end_time = now - datetime.timedelta(seconds=10)
+ cache_path = "/tmp/cache/test_cam@20260417150000+0000.mp4"
+
+ maintainer.end_time_cache = {
+ cache_path: (end_time, 10.0, False, None, None, None, [])
+ }
+ # Metadata has only reached partway into the segment.
+ maintainer.object_recordings_info["test_cam"] = [
+ (end_time.timestamp() - 8, [], [], [])
+ ]
+ maintainer.audio_recordings_info["test_cam"] = []
+
+ maintainer.drop_segment = MagicMock()
+ maintainer.move_segment = AsyncMock(return_value=None)
+ maintainer.recordings_publisher = MagicMock()
+
+ review = MagicMock()
+ review.severity = "alert"
+ review.start_time = start_time.timestamp() - 30
+ review.end_time = None
+
+ result = await maintainer.validate_and_move_segment(
+ "test_cam",
+ reviews=[review],
+ recording={
+ "start_time": start_time,
+ "cache_path": cache_path,
+ "stream_type": "main",
+ },
+ )
+
+ self.assertIsNone(result)
+ maintainer.drop_segment.assert_not_called()
+ maintainer.move_segment.assert_not_awaited()
+
+ # Once metadata passes the segment end, continuous retention keeps it.
+ maintainer.object_recordings_info["test_cam"].append(
+ (now.timestamp(), [], [], [])
+ )
+
+ await maintainer.validate_and_move_segment(
+ "test_cam",
+ reviews=[review],
+ recording={
+ "start_time": start_time,
+ "cache_path": cache_path,
+ "stream_type": "main",
+ },
+ )
+
+ maintainer.drop_segment.assert_not_called()
+ maintainer.move_segment.assert_awaited_once()
+
async def test_expire_stale_recordings_info_drops_only_absent_cameras(self):
config = MagicMock(spec=FrigateConfig)
config.cameras = {}
diff --git a/frigate/test/test_sqlitevecq_embeddings.py b/frigate/test/test_sqlitevecq_embeddings.py
index dc80cd96f8..cce5937b53 100644
--- a/frigate/test/test_sqlitevecq_embeddings.py
+++ b/frigate/test/test_sqlitevecq_embeddings.py
@@ -1,16 +1,24 @@
-"""Tests for embedding cleanup on the main Frigate database.
+"""Tests for embedding storage and cleanup on the main Frigate database.
Embeddings are deleted whether or not semantic search is currently enabled, so
the delete path has to tolerate databases where the vec0 tables were never
created and installs where the sqlite-vec extension is unavailable.
+
+The write paths need the real extension, since the behavior under test belongs
+to vec0 itself, so those tests are skipped when it is not installed.
"""
import os
+import struct
import tempfile
import unittest
+from peewee import OperationalError
+
from frigate.db.sqlitevecq import SqliteVecQueueDatabase
+VEC_EXTENSION_PATH = "/usr/local/lib/vec0.so"
+
class TestDeleteEmbeddings(unittest.TestCase):
def setUp(self) -> None:
@@ -52,6 +60,21 @@ class TestDeleteEmbeddings(unittest.TestCase):
self.assertEqual(self._thumbnail_ids(), ["b"])
+ def test_delete_failure_is_logged_not_raised(self) -> None:
+ self._create_thumbnails_table()
+ self.db.execute_sql(
+ """
+ CREATE TRIGGER vec_thumbnails_no_delete BEFORE DELETE ON vec_thumbnails
+ BEGIN SELECT RAISE(ABORT, 'delete blocked'); END
+ """
+ ).fetchall()
+
+ with self.assertLogs("frigate.db.sqlitevecq", level="ERROR") as logs:
+ self.db.delete_embeddings_thumbnail(event_ids=["a"])
+
+ self.assertIn("Failed to delete embeddings", logs.output[0])
+ self.assertEqual(self._thumbnail_ids(), ["a", "b"])
+
def test_delete_skipped_without_extension(self) -> None:
self._create_thumbnails_table()
self.db.load_vec_extension = False
@@ -61,3 +84,104 @@ class TestDeleteEmbeddings(unittest.TestCase):
# the vec0 tables cannot be written without the extension
self.assertEqual(self._thumbnail_ids(), ["a", "b"])
+
+
+def _vector(value: float) -> bytes:
+ return struct.pack("768f", *([value] * 768))
+
+
+@unittest.skipUnless(
+ os.path.exists(VEC_EXTENSION_PATH), "sqlite-vec extension is not installed"
+)
+class TestEmbeddingsTableWrites(unittest.TestCase):
+ """Covers the vec0 writes behind semantic search reindexing."""
+
+ def setUp(self) -> None:
+ self.tmp_dir = tempfile.TemporaryDirectory()
+ self.db = SqliteVecQueueDatabase(
+ os.path.join(self.tmp_dir.name, "test.db"), load_vec_extension=True
+ )
+ self.db.start()
+ self.db.create_embeddings_tables()
+
+ def tearDown(self) -> None:
+ self.db.stop()
+ self.db.close()
+ self.tmp_dir.cleanup()
+
+ def _vec_tables(self) -> list[str]:
+ return [
+ row[0]
+ for row in self.db.execute_sql(
+ "SELECT name FROM sqlite_master WHERE name LIKE 'vec_%' ORDER BY name"
+ )
+ ]
+
+ def _make_legacy(self, table: str) -> None:
+ # sqlite-vec added the _info shadow table in 0.1.6, so tables written by
+ # Frigate 0.17 and earlier do not have one
+ self.db.execute_sql(f"DROP TABLE {table}_info").fetchall()
+
+ def _stored(self, table: str, column: str, event_id: str) -> str | None:
+ row = self.db.execute_sql(
+ f"SELECT vec_to_json({column}) FROM {table} WHERE id = ?", (event_id,)
+ ).fetchone()
+ return row[0] if row else None
+
+ def test_write_error_is_raised(self) -> None:
+ # queued writes hide their exception in the returned cursor
+ with self.assertRaises(OperationalError):
+ self.db.execute_write("INSERT INTO vec_missing(id) VALUES ('a')")
+
+ def test_drop_tables_removes_legacy_tables(self) -> None:
+ self._make_legacy("vec_thumbnails")
+ self._make_legacy("vec_descriptions")
+
+ self.db.drop_embeddings_tables()
+
+ self.assertEqual(self._vec_tables(), [])
+
+ def test_drop_tables_without_any_tables_does_not_raise(self) -> None:
+ self.db.drop_embeddings_tables()
+
+ self.db.drop_embeddings_tables()
+
+ def test_upsert_replaces_existing_embedding(self) -> None:
+ self.db.upsert_embeddings(
+ "vec_thumbnails", "thumbnail_embedding", {"evt1": _vector(0.01)}
+ )
+
+ self.db.upsert_embeddings(
+ "vec_thumbnails", "thumbnail_embedding", {"evt1": _vector(0.99)}
+ )
+
+ stored = self._stored("vec_thumbnails", "thumbnail_embedding", "evt1")
+ self.assertTrue(stored.startswith("[0.990000"), stored)
+
+ def test_upsert_keeps_one_row_per_event(self) -> None:
+ for _ in range(3):
+ self.db.upsert_embeddings(
+ "vec_descriptions", "description_embedding", {"evt1": _vector(0.5)}
+ )
+
+ count = self.db.execute_sql(
+ "SELECT count(*) FROM vec_descriptions WHERE id = 'evt1'"
+ ).fetchone()[0]
+ self.assertEqual(count, 1)
+
+ def test_reindex_cycle_rewrites_legacy_tables(self) -> None:
+ """The 0.18 upgrade path: old vectors in, new vectors out."""
+ self.db.upsert_embeddings(
+ "vec_thumbnails", "thumbnail_embedding", {"evt1": _vector(0.01)}
+ )
+ self._make_legacy("vec_thumbnails")
+ self._make_legacy("vec_descriptions")
+
+ self.db.drop_embeddings_tables()
+ self.db.create_embeddings_tables()
+ self.db.upsert_embeddings(
+ "vec_thumbnails", "thumbnail_embedding", {"evt1": _vector(0.99)}
+ )
+
+ stored = self._stored("vec_thumbnails", "thumbnail_embedding", "evt1")
+ self.assertTrue(stored.startswith("[0.990000"), stored)
diff --git a/frigate/test/test_timeline.py b/frigate/test/test_timeline.py
new file mode 100644
index 0000000000..a438528ab1
--- /dev/null
+++ b/frigate/test/test_timeline.py
@@ -0,0 +1,66 @@
+import unittest
+from unittest.mock import MagicMock, patch
+
+from frigate.events.types import EventStateEnum
+from frigate.models import Timeline
+from frigate.timeline import TimelineProcessor
+
+
+def make_event(has_clip: bool, has_snapshot: bool) -> dict:
+ return {
+ "id": "event-1",
+ "frame_time": 1000.0,
+ "box": [0, 0, 10, 10],
+ "region": [0, 0, 100, 100],
+ "label": "car",
+ "sub_label": None,
+ "score": 0.8,
+ "has_clip": has_clip,
+ "has_snapshot": has_snapshot,
+ "current_zones": [],
+ "stationary": False,
+ "attributes": {},
+ "current_attributes": [],
+ }
+
+
+class TestTimelineProcessor(unittest.TestCase):
+ def setUp(self):
+ camera_config = MagicMock()
+ camera_config.detect.width = 1280
+ camera_config.detect.height = 720
+ config = MagicMock()
+ config.cameras.get.return_value = camera_config
+ self.processor = TimelineProcessor(config, MagicMock(), MagicMock())
+
+ @patch.object(Timeline, "insert")
+ def test_unsaved_event_writes_no_timeline_rows(self, insert):
+ event = make_event(has_clip=False, has_snapshot=False)
+ self.processor.handle_object_detection(
+ "front", EventStateEnum.start, None, event
+ )
+ self.processor.handle_object_detection(
+ "front", EventStateEnum.end, event, event
+ )
+
+ insert.assert_not_called()
+ self.assertEqual(self.processor.pre_event_cache, {})
+
+ @patch.object(Timeline, "insert")
+ def test_cached_entries_flush_when_event_is_saved(self, insert):
+ start = make_event(has_clip=False, has_snapshot=False)
+ self.processor.handle_object_detection(
+ "front", EventStateEnum.start, None, start
+ )
+ insert.assert_not_called()
+
+ end = make_event(has_clip=True, has_snapshot=False)
+ self.processor.handle_object_detection("front", EventStateEnum.end, start, end)
+
+ class_types = [c.args[0][Timeline.class_type] for c in insert.call_args_list]
+ self.assertEqual(class_types, ["visible", "gone"])
+ self.assertEqual(self.processor.pre_event_cache, {})
+
+
+if __name__ == "__main__":
+ unittest.main()
diff --git a/frigate/timeline.py b/frigate/timeline.py
index d82f17cb7d..cc864c7bc3 100644
--- a/frigate/timeline.py
+++ b/frigate/timeline.py
@@ -191,6 +191,9 @@ class TimelineProcessor(threading.Thread):
timeline_entry[Timeline.class_type] = "gone"
self.insert_or_save(timeline_entry, prev_event_data, event_data)
+ # drop entries for events that ended without being saved
+ self.pre_event_cache.pop(event_id, None)
+
def handle_api_entry(
self,
camera: str,
diff --git a/frigate/track/object_processing.py b/frigate/track/object_processing.py
index 8593fb7cdc..e4fc6ed319 100644
--- a/frigate/track/object_processing.py
+++ b/frigate/track/object_processing.py
@@ -24,6 +24,7 @@ from frigate.comms.event_metadata_updater import (
from frigate.comms.events_updater import EventEndSubscriber, EventUpdatePublisher
from frigate.comms.inter_process import InterProcessRequestor
from frigate.config import (
+ CameraConfig,
CameraMqttConfig,
FrigateConfig,
RecordConfig,
@@ -129,8 +130,10 @@ class TrackedObjectProcessor(threading.Thread):
)
def update(camera: str, obj: TrackedObject, frame_name: str) -> None:
- obj.has_snapshot = self.should_save_snapshot(camera, obj)
- obj.has_clip = self.should_retain_recording(camera, obj)
+ obj.has_snapshot = self.should_save_snapshot(
+ camera_state.camera_config, obj
+ )
+ obj.has_clip = self.should_retain_recording(camera_state.camera_config, obj)
after = obj.to_dict()
message = {
"before": obj.previous,
@@ -154,8 +157,10 @@ class TrackedObjectProcessor(threading.Thread):
def end(camera: str, obj: TrackedObject, frame_name: str) -> None:
# populate has_snapshot
- obj.has_snapshot = self.should_save_snapshot(camera, obj)
- obj.has_clip = self.should_retain_recording(camera, obj)
+ obj.has_snapshot = self.should_save_snapshot(
+ camera_state.camera_config, obj
+ )
+ obj.has_clip = self.should_retain_recording(camera_state.camera_config, obj)
# write thumbnail to disk if it will be saved as an event
if obj.has_snapshot or obj.has_clip:
@@ -185,8 +190,8 @@ class TrackedObjectProcessor(threading.Thread):
)
def snapshot(camera: str, obj: TrackedObject) -> bool:
- mqtt_config: CameraMqttConfig = self.config.cameras[camera].mqtt
- if mqtt_config.enabled and self.should_mqtt_snapshot(camera, obj):
+ mqtt_config: CameraMqttConfig = camera_state.camera_config.mqtt
+ if mqtt_config.enabled and self.should_mqtt_snapshot(mqtt_config, obj):
jpg_bytes, _ = obj.get_img_bytes(
ext="jpg",
timestamp=mqtt_config.timestamp,
@@ -241,11 +246,13 @@ class TrackedObjectProcessor(threading.Thread):
with self.camera_states_lock:
self.camera_states[camera] = camera_state
- def should_save_snapshot(self, camera: str, obj: TrackedObject) -> bool:
+ def should_save_snapshot(
+ self, camera_config: CameraConfig, obj: TrackedObject
+ ) -> bool:
if obj.false_positive:
return False
- snapshot_config: SnapshotsConfig = self.config.cameras[camera].snapshots
+ snapshot_config: SnapshotsConfig = camera_config.snapshots
if not snapshot_config.enabled:
return False
@@ -264,11 +271,13 @@ class TrackedObjectProcessor(threading.Thread):
return True
- def should_retain_recording(self, camera: str, obj: TrackedObject) -> bool:
+ def should_retain_recording(
+ self, camera_config: CameraConfig, obj: TrackedObject
+ ) -> bool:
if obj.false_positive:
return False
- record_config: RecordConfig = self.config.cameras[camera].record
+ record_config: RecordConfig = camera_config.record
# Recording is disabled
if not record_config.enabled:
@@ -284,13 +293,15 @@ class TrackedObjectProcessor(threading.Thread):
return True
- def should_mqtt_snapshot(self, camera: str, obj: TrackedObject) -> bool:
+ def should_mqtt_snapshot(
+ self, mqtt_config: CameraMqttConfig, obj: TrackedObject
+ ) -> bool:
# object never changed position
if obj.is_stationary():
return False
# if there are required zones and there is no overlap
- required_zones = self.config.cameras[camera].mqtt.required_zones
+ required_zones = mqtt_config.required_zones
if len(required_zones) > 0 and not set(obj.entered_zones) & set(required_zones):
logger.debug(
f"Not sending mqtt for {obj.obj_data['id']} because it did not enter required zones"
@@ -300,7 +311,11 @@ class TrackedObjectProcessor(threading.Thread):
return True
def update_mqtt_motion(
- self, camera: str, frame_time: float, motion_boxes: list
+ self,
+ camera: str,
+ camera_config: CameraConfig,
+ frame_time: float,
+ motion_boxes: list,
) -> None:
# publish if motion is currently being detected
if motion_boxes:
@@ -315,7 +330,7 @@ class TrackedObjectProcessor(threading.Thread):
# always updated latest motion
self.last_motion_detected[camera] = frame_time
elif self.last_motion_detected.get(camera, 0) > 0:
- mqtt_delay = self.config.cameras[camera].motion.mqtt_off_delay
+ mqtt_delay = camera_config.motion.mqtt_off_delay
# If no motion, make sure the off_delay has passed
if frame_time - self.last_motion_detected.get(camera, 0) >= mqtt_delay:
@@ -818,7 +833,7 @@ class TrackedObjectProcessor(threading.Thread):
frame_name, frame_time, current_tracked_objects, motion_boxes, regions
)
- self.update_mqtt_motion(camera, frame_time, motion_boxes)
+ self.update_mqtt_motion(camera, camera_config, frame_time, motion_boxes)
tracked_objects = [
o.to_dict() for o in camera_state.tracked_objects.values()
diff --git a/frigate/video/ffmpeg.py b/frigate/video/ffmpeg.py
index a676cfc670..969f28746d 100644
--- a/frigate/video/ffmpeg.py
+++ b/frigate/video/ffmpeg.py
@@ -18,6 +18,7 @@ from frigate.comms.recordings_updater import (
RecordingsDataTypeEnum,
)
from frigate.config import CameraConfig, LoggerConfig
+from frigate.config.camera.ffmpeg import CameraRoleEnum
from frigate.config.camera.updater import (
CameraConfigUpdateEnum,
CameraConfigUpdateSubscriber,
@@ -187,29 +188,45 @@ class CameraWatchdog(threading.Thread):
# Status caching to reduce message volume
self._last_detect_status: str | None = None
self._last_record_status: dict[str, str] = {}
- self._last_status_update_time: float = 0.0
+ self._last_detect_status_update_time: float = 0.0
+ self._last_record_status_update_time: dict[str, float] = defaultdict(float)
def _send_detect_status(self, status: str, now: float) -> None:
"""Send detect status only if changed or retry_interval has elapsed."""
if (
status != self._last_detect_status
- or (now - self._last_status_update_time) >= self.sleeptime
+ or (now - self._last_detect_status_update_time) >= self.sleeptime
):
self.requestor.send_data(f"{self.config.name}/status/detect", status)
self._last_detect_status = status
- self._last_status_update_time = now
+ self._last_detect_status_update_time = now
def _send_record_status(self, stream_type: str, status: str, now: float) -> None:
"""Send a record stream's status only if changed or retry_interval has elapsed."""
if (
status != self._last_record_status.get(stream_type)
- or (now - self._last_status_update_time) >= self.sleeptime
+ or (now - self._last_record_status_update_time[stream_type])
+ >= self.sleeptime
):
self.requestor.send_data(
f"{self.config.name}/status/{STREAM_TYPE_TO_ROLE[stream_type]}", status
)
self._last_record_status[stream_type] = status
- self._last_status_update_time = now
+ self._last_record_status_update_time[stream_type] = now
+
+ def _send_roles_offline(self, roles: list[CameraRoleEnum], now: float) -> None:
+ """Send offline status for each role of a restarted ffmpeg process."""
+ for role in roles:
+ # record roles go through the status cache so the recovery to
+ # online is published once the stream is healthy again
+ stream_type = ROLE_TO_STREAM_TYPE.get(role.value)
+
+ if stream_type is not None:
+ self._send_record_status(stream_type, "offline", now)
+ else:
+ self.requestor.send_data(
+ f"{self.config.name}/status/{role.value}", "offline"
+ )
def _reset_segment_times(self) -> None:
self.latest_valid_segment_time.clear()
@@ -514,18 +531,16 @@ class CameraWatchdog(threading.Thread):
ffmpeg_process=p["process"],
)
- for role in p["roles"]:
- self.requestor.send_data(
- f"{self.config.name}/status/{role.value}", "offline"
- )
+ self._send_roles_offline(p["roles"], now)
self._grant_restart_grace(recorded_streams, now_utc)
last_restart_time = now
continue
elif stale_stream is None:
- for stream_type in recorded_streams:
- self._send_record_status(stream_type, "online", now)
+ if poll is None:
+ for stream_type in recorded_streams:
+ self._send_record_status(stream_type, "online", now)
p["latest_segment_time"] = max(
self.latest_cache_segment_time[stream_type]
@@ -535,10 +550,7 @@ class CameraWatchdog(threading.Thread):
if poll is None:
continue
- for role in p["roles"]:
- self.requestor.send_data(
- f"{self.config.name}/status/{role.value}", "offline"
- )
+ self._send_roles_offline(p["roles"], now)
p["process"] = start_or_restart_ffmpeg(
p["cmd"], self.logger, p["logpipe"], ffmpeg_process=p["process"]
diff --git a/web/e2e/specs/explore.spec.ts b/web/e2e/specs/explore.spec.ts
index 442a6d8d88..4886a719fa 100644
--- a/web/e2e/specs/explore.spec.ts
+++ b/web/e2e/specs/explore.spec.ts
@@ -216,6 +216,18 @@ test.describe("Explore — content @high", () => {
// Similarity search URL param
// ---------------------------------------------------------------------------
+test.describe("Explore: back button @high", () => {
+ test("direct visits do not show a back button", async ({ frigateApp }) => {
+ await frigateApp.goto("/explore?labels=person");
+ await expect(frigateApp.page.getByLabel("Labels").first()).toBeVisible({
+ timeout: 10_000,
+ });
+ await expect(
+ frigateApp.page.getByRole("button", { name: "Go back" }),
+ ).toHaveCount(0);
+ });
+});
+
test.describe("Explore — similarity search (desktop) @high", () => {
test.skip(
({ frigateApp }) => frigateApp.isMobile,
diff --git a/web/e2e/specs/face-library.spec.ts b/web/e2e/specs/face-library.spec.ts
index e499178b7b..db3742a1cd 100644
--- a/web/e2e/specs/face-library.spec.ts
+++ b/web/e2e/specs/face-library.spec.ts
@@ -30,40 +30,51 @@ function groupedFacesMock() {
});
}
-async function installGroupedFaces(app: FrigateApp) {
+const GROUPED_EVENT = {
+ id: GROUPED_EVENT_ID,
+ label: "person",
+ sub_label: null,
+ camera: "front_door",
+ start_time: 1775487131.3863528,
+ end_time: 1775487161.3863528,
+ false_positive: false,
+ zones: ["front_yard"],
+ thumbnail: null,
+ has_clip: true,
+ has_snapshot: true,
+ retain_indefinitely: false,
+ plus_id: null,
+ model_hash: "abc123",
+ detector_type: "cpu",
+ model_type: "ssd",
+ data: {
+ top_score: 0.92,
+ score: 0.92,
+ region: [0.1, 0.1, 0.5, 0.8],
+ box: [0.2, 0.15, 0.45, 0.75],
+ area: 0.18,
+ ratio: 0.6,
+ type: "object",
+ path_data: [],
+ },
+};
+
+async function installGroupedFaces(
+ app: FrigateApp,
+ opts: { withEventIds?: boolean } = {},
+) {
await app.api.install({
- events: [
- {
- id: GROUPED_EVENT_ID,
- label: "person",
- sub_label: null,
- camera: "front_door",
- start_time: 1775487131.3863528,
- end_time: 1775487161.3863528,
- false_positive: false,
- zones: ["front_yard"],
- thumbnail: null,
- has_clip: true,
- has_snapshot: true,
- retain_indefinitely: false,
- plus_id: null,
- model_hash: "abc123",
- detector_type: "cpu",
- model_type: "ssd",
- data: {
- top_score: 0.92,
- score: 0.92,
- region: [0.1, 0.1, 0.5, 0.8],
- box: [0.2, 0.15, 0.45, 0.75],
- area: 0.18,
- ratio: 0.6,
- type: "object",
- path_data: [],
- },
- },
- ],
+ events: [GROUPED_EVENT],
faces: groupedFacesMock(),
});
+
+ // api-mocker does not cover /api/event_ids, which the card needs to link to
+ // Explore. Registered after install so it takes precedence.
+ if (opts.withEventIds) {
+ await app.page.route("**/api/event_ids**", (route) =>
+ route.fulfill({ json: [GROUPED_EVENT] }),
+ );
+ }
}
async function openGroupedFaceDialog(app: FrigateApp): Promise {
@@ -512,6 +523,34 @@ test.describe("FaceSelectionDialog @high", () => {
});
});
+test.describe("Face Library: return from Explore @high", () => {
+ test("Explore back button returns to an outlined collection", async ({
+ frigateApp,
+ }) => {
+ await installGroupedFaces(frigateApp, { withEventIds: true });
+ await frigateApp.goto("/faces");
+
+ // Mobile opens the collection as a MobilePage, which has no dialog role
+ const card = frigateApp.page
+ .locator('img[src*="clips/faces/train/"]')
+ .first()
+ .locator("xpath=..");
+ await card.click();
+ await frigateApp.page.getByLabel("View in Explore").click();
+ await expect(frigateApp.page).toHaveURL(
+ new RegExp(`/explore\\?event_id=${GROUPED_EVENT_ID}`),
+ );
+
+ const back = frigateApp.page.getByRole("button", { name: "Go back" });
+ await expect(back).toBeVisible({ timeout: 5_000 });
+ await back.click();
+ await expect(frigateApp.page).toHaveURL(/\/faces/);
+
+ await expect(card).toHaveClass(/outline-selected/, { timeout: 5_000 });
+ await expect(card).not.toHaveClass(/outline-selected/, { timeout: 5_000 });
+ });
+});
+
test.describe("Face Library — mobile @high @mobile", () => {
test.skip(({ frigateApp }) => !frigateApp.isMobile, "Mobile-only");
diff --git a/web/public/locales/en/views/settings.json b/web/public/locales/en/views/settings.json
index 4437960d34..5bbe7b80d1 100644
--- a/web/public/locales/en/views/settings.json
+++ b/web/public/locales/en/views/settings.json
@@ -2040,7 +2040,11 @@
},
"record": {
"noRecordRole": "No streams have the record role defined. Recording will not function.",
- "noRecordSubRole": "No streams have the record_sub role defined. Sub stream recording will not function."
+ "noRecordSubRole": "No streams have the record_sub role defined. Sub stream recording will not function.",
+ "profileBaseDisabled": "Recording is disabled in this camera's base config, so enabling it in a profile has no effect. Enable recording in the base config and use a profile to disable it instead."
+ },
+ "notifications": {
+ "profileBaseDisabled": "No cameras have notifications enabled in their base config, so enabling them in a profile has no effect. Enable notifications in the base config of at least one camera."
},
"birdseye": {
"objectTrackingDetectDisabled": "Birdseye includes tracked objects, but object detection is disabled for this camera. The camera will not appear in Birdseye.",
diff --git a/web/public/locales/en/views/system.json b/web/public/locales/en/views/system.json
index 3be39e04c2..ad52d48d57 100644
--- a/web/public/locales/en/views/system.json
+++ b/web/public/locales/en/views/system.json
@@ -339,6 +339,7 @@
"moreMessages_one": "+{{count}}",
"moreMessages_other": "+{{count}}",
"reindexingEmbeddings": "Reindexing embeddings ({{processed}}% complete)",
+ "reindexEmbeddingsFailed": "Reindexing embeddings failed, check the logs",
"cameraIsOffline": "{{camera}} is offline",
"detectIsSlow": "{{detect}} is slow ({{speed}} ms)",
"detectIsVerySlow": "{{detect}} is very slow ({{speed}} ms)",
diff --git a/web/src/components/card/ClassificationCard.tsx b/web/src/components/card/ClassificationCard.tsx
index 4fed7e2385..b1c7b9e0a8 100644
--- a/web/src/components/card/ClassificationCard.tsx
+++ b/web/src/components/card/ClassificationCard.tsx
@@ -1,12 +1,20 @@
import { baseUrl } from "@/api/baseUrl";
import useContextMenu from "@/hooks/use-contextmenu";
+import { useOverlayState } from "@/hooks/use-overlay-state";
import { cn } from "@/lib/utils";
import {
ClassificationItemData,
ClassificationThreshold,
ClassifiedEvent,
} from "@/types/classification";
-import { forwardRef, useEffect, useMemo, useRef, useState } from "react";
+import {
+ forwardRef,
+ useEffect,
+ useImperativeHandle,
+ useMemo,
+ useRef,
+ useState,
+} from "react";
import { isDesktop, isIOS, isMobile, isMobileOnly } from "react-device-detect";
import { useTranslation } from "react-i18next";
import TimeAgo from "../dynamic/TimeAgo";
@@ -16,6 +24,7 @@ import { LuSearch, LuInfo } from "react-icons/lu";
import { TooltipPortal } from "@radix-ui/react-tooltip";
import { useNavigate } from "react-router-dom";
import { HiSquare2Stack } from "react-icons/hi2";
+import scrollIntoView from "scroll-into-view-if-needed";
import { ImageShadowOverlay } from "../overlay/ImageShadowOverlay";
import {
Dialog,
@@ -85,9 +94,14 @@ export const ClassificationCard = forwardRef<
// interaction
+ const cardRef = useRef(null);
const imgRef = useRef(null);
- useContextMenu(imgRef, () => {
+ useImperativeHandle(ref, () => cardRef.current!);
+
+ // Listen on the whole card, since overlays cover most of the image
+
+ useContextMenu(cardRef, () => {
onClick(data, true);
});
@@ -101,9 +115,9 @@ export const ClassificationCard = forwardRef<
return (