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LPR improvements (#14641)
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@ -13,6 +13,8 @@ from frigate.embeddings.embeddings import Embeddings
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logger = logging.getLogger(__name__)
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logger = logging.getLogger(__name__)
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MIN_PLATE_LENGTH = 3
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class LicensePlateRecognition:
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class LicensePlateRecognition:
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def __init__(
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def __init__(
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@ -197,7 +199,22 @@ class LicensePlateRecognition:
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average_confidences[original_idx] = average_confidence
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average_confidences[original_idx] = average_confidence
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areas[original_idx] = area
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areas[original_idx] = area
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return license_plates, average_confidences, areas
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# Filter out plates that have a length of less than 3 characters
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# Sort by area, then by plate length, then by confidence all desc
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sorted_data = sorted(
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[
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(plate, conf, area)
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for plate, conf, area in zip(
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license_plates, average_confidences, areas
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)
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if len(plate) >= MIN_PLATE_LENGTH
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],
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key=lambda x: (x[2], len(x[0]), x[1]),
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reverse=True,
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)
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if sorted_data:
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return map(list, zip(*sorted_data))
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return [], [], []
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return [], [], []
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@ -598,7 +598,11 @@ class EmbeddingMaintainer(threading.Thread):
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logger.debug("No text detected")
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logger.debug("No text detected")
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return
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return
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top_plate, top_char_confidences = license_plates[0], confidences[0]
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top_plate, top_char_confidences, top_area = (
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license_plates[0],
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confidences[0],
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areas[0],
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)
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avg_confidence = (
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avg_confidence = (
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(sum(top_char_confidences) / len(top_char_confidences))
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(sum(top_char_confidences) / len(top_char_confidences))
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if top_char_confidences
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if top_char_confidences
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@ -609,6 +613,7 @@ class EmbeddingMaintainer(threading.Thread):
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if id in self.detected_license_plates:
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if id in self.detected_license_plates:
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prev_plate = self.detected_license_plates[id]["plate"]
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prev_plate = self.detected_license_plates[id]["plate"]
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prev_char_confidences = self.detected_license_plates[id]["char_confidences"]
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prev_char_confidences = self.detected_license_plates[id]["char_confidences"]
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prev_area = self.detected_license_plates[id]["area"]
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prev_avg_confidence = (
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prev_avg_confidence = (
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(sum(prev_char_confidences) / len(prev_char_confidences))
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(sum(prev_char_confidences) / len(prev_char_confidences))
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if prev_char_confidences
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if prev_char_confidences
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@ -618,6 +623,7 @@ class EmbeddingMaintainer(threading.Thread):
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# Define conditions for keeping the previous plate
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# Define conditions for keeping the previous plate
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shorter_than_previous = len(top_plate) < len(prev_plate)
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shorter_than_previous = len(top_plate) < len(prev_plate)
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lower_avg_confidence = avg_confidence <= prev_avg_confidence
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lower_avg_confidence = avg_confidence <= prev_avg_confidence
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smaller_area = top_area < prev_area
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# Compare character-by-character confidence where possible
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# Compare character-by-character confidence where possible
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min_length = min(len(top_plate), len(prev_plate))
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min_length = min(len(top_plate), len(prev_plate))
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@ -628,13 +634,13 @@ class EmbeddingMaintainer(threading.Thread):
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)
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)
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worse_char_confidences = char_confidence_comparison >= min_length / 2
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worse_char_confidences = char_confidence_comparison >= min_length / 2
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if shorter_than_previous or (
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if (shorter_than_previous or smaller_area) and (
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lower_avg_confidence and worse_char_confidences
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lower_avg_confidence and worse_char_confidences
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):
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):
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logger.debug(
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logger.debug(
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f"Keeping previous plate. New plate stats: "
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f"Keeping previous plate. New plate stats: "
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f"length={len(top_plate)}, avg_conf={avg_confidence:.2f} "
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f"length={len(top_plate)}, avg_conf={avg_confidence:.2f}, area={top_area} "
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f"vs Previous: length={len(prev_plate)}, avg_conf={prev_avg_confidence:.2f}"
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f"vs Previous: length={len(prev_plate)}, avg_conf={prev_avg_confidence:.2f}, area={prev_area}"
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)
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)
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return
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return
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@ -667,6 +673,7 @@ class EmbeddingMaintainer(threading.Thread):
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self.detected_license_plates[id] = {
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self.detected_license_plates[id] = {
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"plate": top_plate,
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"plate": top_plate,
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"char_confidences": top_char_confidences,
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"char_confidences": top_char_confidences,
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"area": top_area,
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}
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}
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def _create_thumbnail(self, yuv_frame, box, height=500) -> Optional[bytes]:
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def _create_thumbnail(self, yuv_frame, box, height=500) -> Optional[bytes]:
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