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Code Issues Projects Releases Wiki Activity

Fixes (#17334)

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* more docs updates

* debug view note

* hide notifications submenu if camera is disabled

* fix value replacement from incorrect i18n changes
This commit is contained in:
Josh Hawkins
2025-03-24 07:34:18 -05:00
committed by GitHub
parent 678ae87c62
commit 1f98162377
3 changed files with 7 additions and 6 deletions
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9
docs/docs/configuration/license_plate_recognition.md
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@@ -63,8 +63,8 @@ Fine-tune the LPR feature using these optional parameters:
- **`detection_threshold`**: License plate object detection confidence score required before recognition runs.
- Default: `0.7`
- Note: This is field only applies to the standalone license plate detection model, `min_score` should be used to filter for models that have license plate detection built in.
- **`min_area`**: Defines the minimum size (in pixels) a license plate must be before recognition runs.
- Default: `1000` pixels.
- **`min_area`**: Defines the minimum area (in pixels) a license plate must be before recognition runs.
- Default: `1000` pixels. Note: this is intentionally set very low as it is an _area_ measurement (length x width). For reference, 1000 pixels represents a ~32x32 pixel square in your camera image.
- Depending on the resolution of your camera's `detect` stream, you can increase this value to ignore small or distant plates.
### Recognition
@@ -94,7 +94,7 @@ These configuration parameters are available at the global level of your config.
```yaml
lpr:
enabled: True
min_area: 1500 # Ignore plates smaller than 1500 pixels
min_area: 1500 # Ignore plates with an area (length x width) smaller than 1500 pixels
min_plate_length: 4 # Only recognize plates with 4 or more characters
known_plates:
Wife's Car:
@@ -111,7 +111,7 @@ lpr:
```yaml
lpr:
enabled: True
min_area: 4000 # Run recognition on larger plates only
min_area: 4000 # Run recognition on larger plates only (4000 pixels represents a 63x63 pixel square in your image)
recognition_threshold: 0.85
format: "^[A-Z]{2} [A-Z][0-9]{4}$" # Only recognize plates that are two letters, followed by a space, followed by a single letter and 4 numbers
match_distance: 1 # Allow one character variation in plate matching
@@ -175,6 +175,7 @@ When using `type: "lpr"` for a camera, a non-standard object detection pipeline
- Snapshots will always be saved.
- Tracked objects are retained according to your retain settings for `record` and `snapshots`.
- Zones and object masks cannot be used.
- Debug view may not show `license_plate` bounding boxes, even if you are using a Frigate+ model for your standard object detection pipeline.
- The `frigate/events` MQTT topic will not publish tracked object updates, though `frigate/reviews` will if recordings are enabled.
:::