blakeblackshear.frigate/frigate/data_processing/common/license_plate/model.py
Josh Hawkins 921908fe33
LPR device selection (#17592)
* config changes

* use device

* docs

* docs

* reset state

* remove auto

* use device

* docs
2025-04-07 19:30:08 -06:00

32 lines
1.2 KiB
Python

from frigate.embeddings.onnx.lpr_embedding import (
LicensePlateDetector,
PaddleOCRClassification,
PaddleOCRDetection,
PaddleOCRRecognition,
)
from ...types import DataProcessorModelRunner
class LicensePlateModelRunner(DataProcessorModelRunner):
def __init__(self, requestor, device: str = "CPU", model_size: str = "large"):
super().__init__(requestor, device, model_size)
self.detection_model = PaddleOCRDetection(
model_size=model_size, requestor=requestor, device=device
)
self.classification_model = PaddleOCRClassification(
model_size=model_size, requestor=requestor, device=device
)
self.recognition_model = PaddleOCRRecognition(
model_size=model_size, requestor=requestor, device=device
)
self.yolov9_detection_model = LicensePlateDetector(
model_size=model_size, requestor=requestor, device=device
)
# Load all models once
self.detection_model._load_model_and_utils()
self.classification_model._load_model_and_utils()
self.recognition_model._load_model_and_utils()
self.yolov9_detection_model._load_model_and_utils()