This inheritance list is sorted roughly, but not completely, alphabetically:

[detail level 12]

CBuffer::Buffer< T >	A synchronising buffer to be used as a communication mechanism between threads
CBuffer::Buffer< Pipeline::CoreResults >
CPostureEstimating::ConnectedJoint	A representation of a body part
CInference::Coordinate	Indicates position and confidence in positioning of a body part node
CPostProcessing::Coordinate	Indicates position and trustworthiness of a body part node
CPipeline::CoreResults	Contains the id of the frame within the pipeline, as well as the raw image and the results of running inference on that image. A struct of this type is created for every input image after it has been passed through the `InferenceCore`, before being sent to the `PostProcessor`
▼CCppTimer
CPipeline::FrameGenerator	Class to maintain access to the `cv::VideoCapture` used as the input video stream. This class makes use of the `CppTimer` wrapper created here to regularly capture input frames at the set frame rate
CPostureEstimating::DelayTimer	Simple timer which just has the running flag set when running and unset when not running
CPostureEstimating::MessageTimer	Broadcasts a message using `RemoteNotify::Broadcast` after a time is elapsed
CPostureEstimating::StopTimer	Timer which countdowns and stops a `PostureEstimating::MessageTimer` if countdown ends
CPipeline::FramerateSetting	Parameters relevant to the currently set frame rate
CPipeline::FramerateSettings	Class to maintain the currently set frame rate and any related settings
CIIR::IIR2ndOrderFilter	Second-order IIR filter stage, for use with the `IIRFilter`
CIIR::IIRFilter	An IIR filter that can be initialised with SOS coefficients
CInference::InferenceCore	A wrapper to make running inference easier
CInference::InferenceResults	Results of running the model for all body parts
CIIR::Nodes	Taps inside the second-order IIR filter
CPipeline::Pipeline	Frame-by-frame pipeline to process video
CBuffer::PopResult< T >	Result when calling `Buffer::pop()`
CPostureEstimating::Pose	The representation of a human's pose, containing all the expected `ConnectedJoint`
CPostureEstimating::PoseStatus	Representation of user's pose for use by the pipeline processing
CPostProcessing::PostProcessor	Process the output of an `Inference::InferenceCore`
CPostureEstimating::PostureEstimator	This class handles representations of the user's pose and calculates any updates to their pose that is required
CPipeline::PreprocessedFrame	Contains the id of the frame within the pipeline, as well as the raw image and the preprocessed_image. A struct of this type is created for every input image after it has been passed through the `PreProcessing::PreProcessor`, before being sent to the `Inference::InferenceCore`
CPreProcessing::PreProcessedImage	A structure of the pre processed image
CPreProcessing::PreProcessor	Pre-process the input image before passing to `Inference::InferenceCore`
CPostProcessing::ProcessedResults	The `PostProcessing::Coordinate` of each body part
▼CQLabel
CGUI::Label	Subclass of `QLabel` that allows having a title and subtitle within the label
▼CQMainWindow
CGUI::MainWindow	Allows for navigation around the application from the main page by letting the user navigate to the data page, settings page and fullscreen page from the main window
▼CQPushButton
CGUI::Button	Subclass of `QPushButton` that allows having a title and subtitle within the button
CPipeline::RawFrame	A frame as returned by the `FrameGenerator`
CInference::Result	Intermediate result of pose estimation
CIIR::SmoothingSettings	Settings for an IIR filter. Wraps the second-order section coefficients for an IIR filter