SemiParametricFittingResult¶
- class menpo.fit.fittingresult.SemiParametricFittingResult(image, fitter, parameters=None, costs=None, gt_shape=None, error_type='me_norm')[source]¶
Bases: NonParametricFittingResult
- plot_cost(figure_id=None, new_figure=False, **kwargs)¶
Plots the cost evolution throughout the fitting.
- plot_error(figure_id=None, new_figure=False, **kwargs)¶
Plots the error evolution throughout the fitting.
- view(**kwargs)¶
View the object using the default rendering engine figure handling. For example, the default behaviour for Matplotlib is that all draw commands are applied to the same figure object.
Parameters: kwargs : dict
Passed through to specific rendering engine.
Returns: viewer : Renderer
The renderer instantiated.
- view_final_fitting(figure_id=None, new_figure=False, **kwargs)¶
Displays the final fitting result.
- view_ground_truth(figure_id=None, new_figure=False, **kwargs)¶
Displays the ground truth annotation.
- view_initialization(figure_id=None, new_figure=False, **kwargs)¶
Displays the initialization from which the fitting started.
- view_new(**kwargs)¶
View the object on a new figure.
Parameters: kwargs : dict
Passed through to specific rendering engine.
Returns: viewer : Renderer
The renderer instantiated.
- view_on(figure_id, **kwargs)¶
View the object on a a specific figure specified by the given id.
Parameters: figure_id : object
A unique identifier for a figure.
kwargs : dict
Passed through to specific rendering engine.
Returns: viewer : Renderer
The renderer instantiated.
- algorithm¶
Returns the name of the algorithm used by the Fitter.
- error_type¶
Return the type of error.
- errors¶
Returns a list containing the error at each fitting iteration.
- final_cost¶
Returns the value of the cost function at the final iteration.
- final_error¶
Returns the final fitting error.
Type: float
- initial_cost¶
Returns the value of the cost function at the first iteration.
- initial_error¶
Returns the initial fitting error.
Type: float