opencv::features2d::prelude

Trait BOWTrainerTraitConst

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pub trait BOWTrainerTraitConst {
    // Required method
    fn as_raw_BOWTrainer(&self) -> *const c_void;

    // Provided methods
    fn get_descriptors(&self) -> Result<Vector<Mat>> { ... }
    fn descriptors_count(&self) -> Result<i32> { ... }
    fn cluster(&self) -> Result<Mat> { ... }
    fn cluster_with_descriptors(
        &self,
        descriptors: &impl MatTraitConst,
    ) -> Result<Mat> { ... }
}
Expand description

Constant methods for crate::features2d::BOWTrainer

Required Methods§

Source

fn as_raw_BOWTrainer(&self) -> *const c_void

Provided Methods§

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fn get_descriptors(&self) -> Result<Vector<Mat>>

Returns a training set of descriptors.

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fn descriptors_count(&self) -> Result<i32>

Returns the count of all descriptors stored in the training set.

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fn cluster(&self) -> Result<Mat>

Clusters train descriptors.

§Parameters
  • descriptors: Descriptors to cluster. Each row of the descriptors matrix is a descriptor. Descriptors are not added to the inner train descriptor set.

The vocabulary consists of cluster centers. So, this method returns the vocabulary. In the first variant of the method, train descriptors stored in the object are clustered. In the second variant, input descriptors are clustered.

§Overloaded parameters
Source

fn cluster_with_descriptors( &self, descriptors: &impl MatTraitConst, ) -> Result<Mat>

Clusters train descriptors.

§Parameters
  • descriptors: Descriptors to cluster. Each row of the descriptors matrix is a descriptor. Descriptors are not added to the inner train descriptor set.

The vocabulary consists of cluster centers. So, this method returns the vocabulary. In the first variant of the method, train descriptors stored in the object are clustered. In the second variant, input descriptors are clustered.

Dyn Compatibility§

This trait is not dyn compatible.

In older versions of Rust, dyn compatibility was called "object safety", so this trait is not object safe.

Implementors§