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filter dedicated LPR plates before creating the event (#23977)
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@ -1172,6 +1172,28 @@ class LicensePlateProcessingMixin:
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return rep["plate"], rep["conf"], rep["char_confidences"], rep["area"]
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def _passes_plate_filters(self, camera: str, plate: str) -> bool:
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"""Check a plate against the configured length and format filters."""
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if len(plate) < self.lpr_config.min_plate_length:
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logger.debug(
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f"{camera}: Filtered out plate '{plate}' due to length ({len(plate)} < {self.lpr_config.min_plate_length})"
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)
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return False
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if self.lpr_config.format:
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try:
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if not re.fullmatch(self.lpr_config.format, plate):
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logger.debug(
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f"{camera}: Filtered out plate '{plate}' due to format mismatch"
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)
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return False
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except re.error:
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logger.error(
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f"{camera}: Invalid regex in LPR format configuration: {self.lpr_config.format}"
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)
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return True
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def _generate_plate_event(self, camera: str, plate: str, plate_score: float) -> str:
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"""Generate a unique ID for a plate event based on camera and text."""
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now = datetime.datetime.now().timestamp()
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@ -1511,10 +1533,14 @@ class LicensePlateProcessingMixin:
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plate_id = None
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for existing_id, data in self.detected_license_plates.items():
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# entries from the object pipeline on this camera have no
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# last_seen until they pass the filters below
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last_seen = data.get("last_seen")
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if (
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data["camera"] == camera
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and data["last_seen"] is not None
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and current_time - data["last_seen"]
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and last_seen is not None
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and current_time - last_seen
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<= self.config.cameras[camera].lpr.expire_time
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):
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similarity = JaroWinkler.similarity(data["plate"], top_plate)
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@ -1525,6 +1551,11 @@ class LicensePlateProcessingMixin:
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)
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break
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if plate_id is None:
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# the event id doubles as the cluster key, so a plate rejected
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# after this point would leave an entry that never expires
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if not self._passes_plate_filters(camera, top_plate):
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return
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plate_id = self._generate_plate_event(camera, top_plate, avg_confidence)
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logger.debug(
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f"{camera}: New plate event for dedicated LPR camera {plate_id}: {top_plate}"
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@ -1569,27 +1600,12 @@ class LicensePlateProcessingMixin:
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f"{camera}: Clustering changed top plate '{top_plate}' (conf: {avg_confidence:.3f}) to rep '{rep_plate}' (conf: {rep_conf:.3f})"
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)
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# Apply length and format filters to the clustered representative
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# rather than individual OCR readings, so noisy variants still
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# contribute to clustering even when they don't pass on their own.
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if len(rep_plate) < self.lpr_config.min_plate_length:
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logger.debug(
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f"{camera}: Filtered out clustered plate '{rep_plate}' due to length ({len(rep_plate)} < {self.lpr_config.min_plate_length})"
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)
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# filter the clustered representative rather than individual OCR
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# readings, so noisy variants still contribute to clustering even
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# when they don't pass on their own
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if not self._passes_plate_filters(camera, rep_plate):
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return
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if self.lpr_config.format:
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try:
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if not re.fullmatch(self.lpr_config.format, rep_plate):
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logger.debug(
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f"{camera}: Filtered out clustered plate '{rep_plate}' due to format mismatch"
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)
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return
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except re.error:
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logger.error(
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f"{camera}: Invalid regex in LPR format configuration: {self.lpr_config.format}"
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)
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# Update stored rep
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self.detected_license_plates[id].update(
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{
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