robokudo.types.ros¶

ROS message type definitions.

This module provides Python class representations of common ROS message types. These classes are used to maintain compatibility with ROS message structures while working in pure Python environments.

The module includes:

Standard ROS header
Camera-related message types
Region of interest definitions

Classes¶

`Header`	ROS message header type.
`RegionOfInterest`	ROS region of interest message type.
`CameraInfo`	ROS camera calibration and metadata message type.

Module Contents¶

class robokudo.types.ros.Header¶

Bases: robokudo.types.core.Type

ROS message header type.

Standard ROS message header containing sequence number, timestamp, and coordinate frame information.

seq: int = 0¶: Sequence number

frame_id: str = ''¶: Coordinate frame identifier

stamp: float = 0.0¶: Time stamp in seconds

class robokudo.types.ros.RegionOfInterest¶

Bases: robokudo.types.core.Type

ROS region of interest message type.

Defines a rectangular region within an image.

x_offset: int = 0¶: X coordinate of top-left corner

y_offset: int = 0¶: Y coordinate of top-left corner

height: int = 0¶: Height of region in pixels

width: int = 0¶: Width of region in pixels

do_rectify: bool = False¶: Whether to rectify the region

class robokudo.types.ros.CameraInfo¶

Bases: robokudo.types.core.Type

ROS camera calibration and metadata message type.

Contains camera calibration data and image metadata including: * Image dimensions * Distortion model and parameters * Camera matrices (K, R, P) * ROI and binning information

header: Header¶: Message header

height: int = 0¶: Image height in pixels

width: int = 0¶: Image width in pixels

distortion_model: str = ''¶: Name of distortion model

D: typing_extensions.List[float] = []¶: Distortion parameters

K: typing_extensions.List[float] = []¶: Intrinsic camera matrix (3x3)

R: typing_extensions.List[float] = []¶: Rotation matrix (3x3)

P: typing_extensions.List[float] = []¶: Projection matrix (3x4)

binning_x: int = 0¶: Horizontal binning factor

binning_y: int = 0¶: Vertical binning factor

roi: RegionOfInterest¶: Region of interest