robokudo.types.human¶

Human-related annotation types for Robokudo.

This module provides types for representing various aspects of human detection and analysis in computer vision applications. It includes:

The types support both 2D and 3D representations where applicable.

Classes¶

`FaceAnnotation`	Face detection result combining 2D, 3D and pose information.
`MimicAnnotation`	Facial expression or mimic detection result.
`AttributeAnnotation`	Generic human attribute annotation.
`ActivityAnnotation`	Human activity detection result.
`KeypointAnnotation`	Human body keypoint detection result.

class robokudo.types.human.FaceAnnotation¶

Face detection result combining 2D, 3D and pose information.

Provides: * 2D region of interest in image * 3D point cloud of face * 6-DOF pose of face

Note

Does not contain identity information. Use Classification annotations on the parent HumanAnnotation for identity.

class robokudo.types.human.MimicAnnotation¶

Bases: robokudo.types.core.Annotation

Facial expression or mimic detection result.

Represents detected facial expressions or mimics.

class robokudo.types.human.AttributeAnnotation¶

Generic human attribute annotation.

Used for various human attributes such as: * Age * Height * Clothing * Gender * Other physical or visual characteristics

class robokudo.types.human.ActivityAnnotation¶

Human activity detection result.

Represents detected human activities and their context. Can be subclassed for specific activity types.

Examples: * Pointing * Waving * Walking * Sitting

interaction_with: typing_extensions.Any = None¶: Target of interaction if applicable

class robokudo.types.human.KeypointAnnotation¶

Human body keypoint detection result.

Represents detected keypoints like: * Joint positions * Body part locations * Facial landmarks

Supports both 2D and 3D keypoint types.