`msight_core.data.detection_result`

Data containers for detection results and road-user lists.

This module defines SensorData subclasses used to carry object detection outputs and associated metadata across the MSight messaging infrastructure. It uses types from the msight_base package for structured detection objects and attach a :class:FieldCodec to a field to customize serialization/deserialization.

Provided classes

DetectionResultsData: Holds a detection result object and optional raw sensor payload linkage.
RoadUserListData: Carries a list of RoadUserPoint objects with a codec that serializes each object via its to_dict / from_dict helpers.

`DetectionResultsData` `dataclass`

Bases: SensorData

Container for detection outputs linked to a sensor frame.

This dataclass carries the detection result produced for an image/frame along with optional references to the originating sensor payload.

Attributes:

Name	Type	Description
`image_frame_id`	`Optional[int]`	Identifier of the image/frame the detection was produced for.
`detection_result`	`Optional[DetectionResultBase]`	Structured detection result object coming from `msight_base`. The object may include bounding boxes, classes, scores and additional metadata.
`raw_sensor_data`	`Optional[SensorData]`	Optional pointer to the raw sensor message (e.g. compressed image) that produced this detection. When present this allows consumers to fetch the original payload alongside detections.

`RoadUserListData` `dataclass`

Bases: SensorData

Holds a list of road-user points with custom serialization.

The road_user_list field contains a list of RoadUserPoint objects from msight_base. A :class:FieldCodec is attached to perform element-wise conversion to/from dicts during serialization so the list can be embedded in standard JSON/MessagePack payloads.

Attributes:

Name	Type	Description
`road_user_list`	`list[RoadUserPoint]`	List of road user points.

Notes

The module-level road_user_list_codec implements the codec used for road_user_list and is registered on the class via __field_codecs__.

msight_core.data.detection_result