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https://github.com/blakeblackshear/frigate.git
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4d4d54d030
* Fix the `Any` typing hint treewide There has been confusion between the Any type[1] and the any function[2] in typing hints. [1] https://docs.python.org/3/library/typing.html#typing.Any [2] https://docs.python.org/3/library/functions.html#any * Fix typing for various frame_shape members Frame shapes are most likely defined by height and width, so a single int cannot express that. * Wrap gpu stats functions in Optional[] These can return `None`, so they need to be `Type | None`, which is what `Optional` expresses very nicely. * Fix return type in get_latest_segment_datetime Returns a datetime object, not an integer. * Make the return type of FrameManager.write optional This is necessary since the SharedMemoryFrameManager.write function can return None. * Fix total_seconds() return type in get_tz_modifiers The function returns a float, not an int. https://docs.python.org/3/library/datetime.html#datetime.timedelta.total_seconds * Account for floating point results in to_relative_box Because the function uses division the return types may either be int or float. * Resolve ruff deprecation warning The config has been split into formatter and linter, and the global options are deprecated.
76 lines
2.6 KiB
Python
76 lines
2.6 KiB
Python
"""Handle processing images for face detection and recognition."""
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import json
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import logging
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from typing import Any
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import numpy as np
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from frigate.comms.event_metadata_updater import EventMetadataPublisher
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from frigate.comms.inter_process import InterProcessRequestor
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from frigate.config import FrigateConfig
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from frigate.data_processing.common.license_plate.mixin import (
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LicensePlateProcessingMixin,
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)
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from frigate.data_processing.common.license_plate.model import (
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LicensePlateModelRunner,
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)
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from frigate.types import TrackedObjectUpdateTypesEnum
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from ..types import DataProcessorMetrics
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from .api import RealTimeProcessorApi
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logger = logging.getLogger(__name__)
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class LicensePlateRealTimeProcessor(LicensePlateProcessingMixin, RealTimeProcessorApi):
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def __init__(
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self,
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config: FrigateConfig,
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requestor: InterProcessRequestor,
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sub_label_publisher: EventMetadataPublisher,
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metrics: DataProcessorMetrics,
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model_runner: LicensePlateModelRunner,
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detected_license_plates: dict[str, dict[str, Any]],
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):
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self.requestor = requestor
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self.detected_license_plates = detected_license_plates
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self.model_runner = model_runner
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self.lpr_config = config.lpr
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self.config = config
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self.sub_label_publisher = sub_label_publisher
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self.camera_current_cars: dict[str, list[str]] = {}
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super().__init__(config, metrics)
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def process_frame(
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self,
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obj_data: dict[str, Any],
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frame: np.ndarray,
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dedicated_lpr: bool | None = False,
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):
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"""Look for license plates in image."""
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self.lpr_process(obj_data, frame, dedicated_lpr)
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def handle_request(self, topic, request_data) -> dict[str, Any] | None:
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return
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def expire_object(self, object_id: str, camera: str):
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if object_id in self.detected_license_plates:
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self.detected_license_plates.pop(object_id)
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if object_id in self.camera_current_cars.get(camera, []):
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self.camera_current_cars[camera].remove(object_id)
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if len(self.camera_current_cars[camera]) == 0:
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self.requestor.send_data(
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"tracked_object_update",
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json.dumps(
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{
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"type": TrackedObjectUpdateTypesEnum.lpr,
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"name": None,
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"plate": None,
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"camera": camera,
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}
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),
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)
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