scripts.head_module

class HeadGesture(name: str, position_checker: Callable[[scripts.core.position.Position], bool], tracker: scripts.core.position_tracker.PositionTracker): Bases: scripts.core.gesture.Gesture

Author: Andrzej Szablewski Author: Rakshita Kumar Partially based on the Head module in the MotionInput v2 code

class HeadLandmarkDetector

Bases: scripts.core.module.LandmarkDetector

HEAD_MODEL_PATH = 'C:\\Users\\Carme\\Desktop\\SysEng\\MI_Windows_App\\MI_Windows\\scripts\\head_module\\..\\..\\data\\ml_models\\head\\shape_predictor_68_face_landmarks.dat'

get_raw_data(raw_data: scripts.core.raw_data.RawData, image: numpy.ndarray) → None

Adds the xy(z) coordinates of all the landmarks detected on the image into the RawData instance.

Parameters

raw_data (RawData) – RawData instance to add the landmarks to
image (ndarray) – Image to process with mediapipe and read the landmarks locations from

Author: Andrzej Szablewski Author: Rakshita Kumar Partially based on the Head module in the MotionInput v2 code

class HeadPosition(raw_data: Dict[str, numpy.ndarray], used_primitives: Optional[Set[str]] = None)

get_primitives_names() → Set[str]

Returns: Names of all primitives that are calculated by the specific modules Position class on initialization
Return type: List[str]

get_primitive(name: str) → Optional[bool]

Returns the state of the given primitive in the Position if it has: been calculated. Returns None If the primitive has not been calculated, hence if it either is not defined for current module or landmarks needed to calculate it were not provided.

Parameters: name (str) – name of the primitive (e.g. “palm_facing_camera” or “index_pinched”)
Returns: state of the primitive
Return type: Optional[bool]

get_landmark(name: str) → Optional[numpy.ndarray]

Returns the coordinates of the landmark. Returns None if the landmarks was not provided to the Position on initialization

Parameters: name (str) – name of the landmark (e.g. “index_tip” or “wrist”)
Returns: coordinates of the landmark
Return type: Optional[np.ndarray]

Module contents