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https://github.com/blakeblackshear/frigate.git
synced 2026-02-15 15:45:27 +03:00
placeholder for non frigate+ model lp detection
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@ -75,6 +75,9 @@ class EmbeddingMaintainer(threading.Thread):
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# set license plate recognition conditions
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self.lpr_config = self.config.lpr
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self.requires_license_plate_detection = (
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"license_plate" not in self.config.model.all_attributes
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)
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self.detected_license_plates: dict[str, dict[str, any]] = {}
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if self.lpr_config.enabled:
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@ -485,6 +488,11 @@ class EmbeddingMaintainer(threading.Thread):
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if resp.status_code == 200:
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self.detected_faces[id] = avg_score
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def _detect_license_plate(self, input: np.ndarray) -> tuple[int, int, int, int]:
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"""Return the dimensions of the input image as [x, y, width, height]."""
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height, width = input.shape[:2]
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return (0, 0, width, height)
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def _process_license_plate(
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self, obj_data: dict[str, any], frame: np.ndarray
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) -> None:
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@ -511,37 +519,61 @@ class EmbeddingMaintainer(threading.Thread):
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license_plate: Optional[dict[str, any]] = None
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# don't run for object without attributes
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if not obj_data.get("current_attributes"):
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logger.debug("No attributes to parse.")
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return
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if self.requires_license_plate_detection:
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logger.debug("Running manual license_plate detection.")
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car_box = obj_data.get("box")
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attributes: list[dict[str, any]] = obj_data.get("current_attributes", [])
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for attr in attributes:
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if attr.get("label") != "license_plate":
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continue
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if not car_box:
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return None
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if license_plate is None or attr.get("score", 0.0) > license_plate.get(
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"score", 0.0
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rgb = cv2.cvtColor(frame, cv2.COLOR_YUV2RGB_I420)
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left, top, right, bottom = car_box
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car = rgb[top:bottom, left:right]
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license_plate = self._detect_license_plate(car)
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if not license_plate:
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logger.debug("Detected no license plates for car object.")
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return
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license_plate_frame = car[
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license_plate[1] : license_plate[3], license_plate[0] : license_plate[2]
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]
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license_plate_frame = cv2.cvtColor(license_plate_frame, cv2.COLOR_RGB2BGR)
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else:
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# don't run for object without attributes
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if not obj_data.get("current_attributes"):
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logger.debug("No attributes to parse.")
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return
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attributes: list[dict[str, any]] = obj_data.get("current_attributes", [])
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for attr in attributes:
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if attr.get("label") != "license_plate":
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continue
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if license_plate is None or attr.get("score", 0.0) > license_plate.get(
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"score", 0.0
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):
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license_plate = attr
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# no license plates detected in this frame
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if not license_plate:
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return
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license_plate_box = license_plate.get("box")
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# check that license plate is valid
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if (
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not license_plate_box
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or area(license_plate_box) < self.config.lpr.min_area
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):
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license_plate = attr
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logger.debug(f"Invalid license plate box {license_plate}")
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return
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# no license plates detected in this frame
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if not license_plate:
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return
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license_plate_box = license_plate.get("box")
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# check that license plate is valid
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if not license_plate_box or area(license_plate_box) < self.config.lpr.min_area:
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logger.debug(f"Invalid license plate box {license_plate}")
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return
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license_plate_frame = cv2.cvtColor(frame, cv2.COLOR_YUV2BGR_I420)
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license_plate_frame = license_plate_frame[
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license_plate_box[1] : license_plate_box[3],
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license_plate_box[0] : license_plate_box[2],
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]
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license_plate_frame = cv2.cvtColor(frame, cv2.COLOR_YUV2BGR_I420)
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license_plate_frame = license_plate_frame[
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license_plate_box[1] : license_plate_box[3],
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license_plate_box[0] : license_plate_box[2],
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]
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# run detection, returns results sorted by confidence, best first
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license_plates, confidences, areas = (
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