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apply filters after clustering (#22308)

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apply length and format filters to the clustered representative plate rather than individual OCR readings, so noisy variants still contribute to clustering even when they don't pass on their own
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Josh Hawkins 2026-03-07 07:42:27 -06:00 committed by GitHub
parent c2e667c0dd
commit dda9f7bfed
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1 changed files with 23 additions and 27 deletions
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50
frigate/data_processing/common/license_plate/mixin.py
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@ -401,35 +401,10 @@ class LicensePlateProcessingMixin:
all_confidences.append(flat_confidences) all_confidences.append(flat_confidences)
all_areas.append(combined_area) all_areas.append(combined_area)
# Step 3: Filter and sort the combined plates # Step 3: Sort the combined plates
if all_license_plates: if all_license_plates:
filtered_data = []
for plate, conf_list, area in zip(
all_license_plates, all_confidences, all_areas
):
if len(plate) < self.lpr_config.min_plate_length:
logger.debug(
f"{camera}: Filtered out '{plate}' due to length ({len(plate)} < {self.lpr_config.min_plate_length})"
)
continue
if self.lpr_config.format:
try:
if not re.fullmatch(self.lpr_config.format, plate):
logger.debug(
f"{camera}: Filtered out '{plate}' due to format mismatch"
)
continue
except re.error:
# Skip format filtering if regex is invalid
logger.error(
f"{camera}: Invalid regex in LPR format configuration: {self.lpr_config.format}"
)
filtered_data.append((plate, conf_list, area))
sorted_data = sorted( sorted_data = sorted(
filtered_data, zip(all_license_plates, all_confidences, all_areas),
key=lambda x: (x[2], len(x[0]), sum(x[1]) / len(x[1]) if x[1] else 0), key=lambda x: (x[2], len(x[0]), sum(x[1]) / len(x[1]) if x[1] else 0),
reverse=True, reverse=True,
) )
@ -1557,6 +1532,27 @@ class LicensePlateProcessingMixin:
f"{camera}: Clustering changed top plate '{top_plate}' (conf: {avg_confidence:.3f}) to rep '{rep_plate}' (conf: {rep_conf:.3f})" f"{camera}: Clustering changed top plate '{top_plate}' (conf: {avg_confidence:.3f}) to rep '{rep_plate}' (conf: {rep_conf:.3f})"
) )
# Apply length and format filters to the clustered representative
# rather than individual OCR readings, so noisy variants still
# contribute to clustering even when they don't pass on their own.
if len(rep_plate) < self.lpr_config.min_plate_length:
logger.debug(
f"{camera}: Filtered out clustered plate '{rep_plate}' due to length ({len(rep_plate)} < {self.lpr_config.min_plate_length})"
)
return
if self.lpr_config.format:
try:
if not re.fullmatch(self.lpr_config.format, rep_plate):
logger.debug(
f"{camera}: Filtered out clustered plate '{rep_plate}' due to format mismatch"
)
return
except re.error:
logger.error(
f"{camera}: Invalid regex in LPR format configuration: {self.lpr_config.format}"
)
# Update stored rep # Update stored rep
self.detected_license_plates[id].update( self.detected_license_plates[id].update(
{ {