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Fix lpr metrics and add yolov9 plate detection metric (#16827)

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This commit is contained in:
Josh Hawkins
2025-02-26 08:29:34 -06:00
committed by GitHub
parent 7eb3c87fa0
commit 447f26e1b9
5 changed files with 32 additions and 20 deletions
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9
frigate/data_processing/real_time/license_plate.py
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@@ -1,6 +1,5 @@
"""Handle processing images for face detection and recognition."""
import datetime
import logging
import numpy as np
@@ -33,17 +32,9 @@ class LicensePlateRealTimeProcessor(LicensePlateProcessingMixin, RealTimeProcess
self.config = config
super().__init__(config, metrics)
def __update_metrics(self, duration: float) -> None:
"""
Update inference metrics.
"""
self.metrics.alpr_pps.value = (self.metrics.alpr_pps.value * 9 + duration) / 10
def process_frame(self, obj_data: dict[str, any], frame: np.ndarray):
"""Look for license plates in image."""
start = datetime.datetime.now().timestamp()
self.lpr_process(obj_data, frame)
self.__update_metrics(datetime.datetime.now().timestamp() - start)
def handle_request(self, topic, request_data) -> dict[str, any] | None:
return