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Josh Hawkins 2025-04-07 19:29:54 -05:00
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docs/docs/configuration/license_plate_recognition.md
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@ -68,7 +68,7 @@ Fine-tune the LPR feature using these optional parameters:
- Depending on the resolution of your camera's `detect` stream, you can increase this value to ignore small or distant plates. - Depending on the resolution of your camera's `detect` stream, you can increase this value to ignore small or distant plates.
- **`device`**: Device to use to run license plate recognition models. - **`device`**: Device to use to run license plate recognition models.
- Default: `CPU` - Default: `CPU`
- This can be `CPU` or `GPU`. For users without a model that detects license plates natively, using a GPU may increase performance of the YOLOv9 license plate detector model. - This can be `CPU` or `GPU`. For users without a model that detects license plates natively, using a GPU may increase performance of the models, especially the YOLOv9 license plate detector model.
### Recognition ### Recognition
@ -170,6 +170,7 @@ An example configuration for a dedicated LPR camera using a Frigate+ model:
# LPR global configuration # LPR global configuration
lpr: lpr:
enabled: True enabled: True
device: CPU # can also be GPU if available
# Dedicated LPR camera configuration # Dedicated LPR camera configuration
cameras: cameras:
@ -221,6 +222,7 @@ An example configuration for a dedicated LPR camera using the secondary pipeline
# LPR global configuration # LPR global configuration
lpr: lpr:
enabled: True enabled: True
device: CPU # can also be GPU if available
detection_threshold: 0.7 # change if necessary detection_threshold: 0.7 # change if necessary
# Dedicated LPR camera configuration # Dedicated LPR camera configuration