Struct opencv::saliency::ObjectnessBING[][src]

pub struct ObjectnessBING { /* fields omitted */ }
Expand description

the Binarized normed gradients algorithm from BING

Implementations

Trait Implementations

Clears the algorithm state

Reads algorithm parameters from a file storage

Stores algorithm parameters in a file storage

simplified API for language bindings Stores algorithm parameters in a file storage Read more

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs). Read more

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string. Read more

Wrap the specified raw pointer Read more

Return an the underlying raw pointer while consuming this wrapper. Read more

Return the underlying raw pointer. Read more

Return the underlying mutable raw pointer Read more

Executes the destructor for this type. Read more

Performs the conversion.

Return the list of the rectangles’ objectness value, Read more

This is a utility function that allows to set the correct path from which the algorithm will load the trained model. Read more

This is a utility function that allows to set an arbitrary path in which the algorithm will save the optional results Read more

\brief Compute the saliency \param image The image. \param saliencyMap The computed saliency map. \return true if the saliency map is computed, false otherwise Read more

Auto Trait Implementations

Blanket Implementations

Gets the TypeId of self. Read more

Immutably borrows from an owned value. Read more

Mutably borrows from an owned value. Read more

Performs the conversion.

Performs the conversion.

The type returned in the event of a conversion error.

Performs the conversion.

The type returned in the event of a conversion error.

Performs the conversion.