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.. toctree::
:maxdepth: 2
API reference
=============
C++
---
.. doxygenclass:: eyeware::TrackerClient
:project: Beam_SDK_docs
:members:
.. doxygenstruct:: eyeware::HeadPoseInfo
:project: Beam_SDK_docs
:members:
.. doxygenstruct:: eyeware::ScreenGazeInfo
:project: Beam_SDK_docs
:members:
.. doxygenenum:: eyeware::TrackingConfidence
:project: Beam_SDK_docs
.. doxygenstruct:: eyeware::AffineTransform3D
:project: Beam_SDK_docs
:members:
.. doxygentypedef:: eyeware::Matrix3x3
:project: Beam_SDK_docs
.. doxygenstruct:: eyeware::Vector3D
:project: Beam_SDK_docs
:members:
Python
------
.. autoclass:: eyeware.client.TrackerClient
:members:
:exclude-members: connected
.. autoproperty:: connected
.. versionadded:: 1.1.0
.. autoclass:: eyeware.client.HeadPoseInfo
:members:
.. autoclass:: eyeware.client.ScreenGazeInfo
:members:
.. autoclass:: eyeware.client.TrackingConfidence
.. autoclass:: eyeware.client.AffineTransform3D
:members:
.. autoclass:: eyeware.client.Vector3D
:members:
.. note::
Matrix and vector types, such as the rotation and translation properties of ``AffineTransform3D``, can be transformed to NumPy arrays efficiently.
This is useful for using tracking data and coordinates in your application.
Example:
.. code-block:: python
# Receive an AffineTransform3D instance
head_pose = tracker.get_head_pose_info()
# Transform the tracking information to standard NumPy arrays
import numpy as np
rotation_numpy = np.array(head_pose.rotation, copy=False)
translation_numpy = np.array(head_pose.translation, copy=False)
# Now we can manipulate tracking information to do several things:
# draw tracking coordinates on the screen, save them for statistics/heatmaps,
# perform arithmetic operations on them, trigger interactive behaviors based on thresholds, etc.
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