opencv::mod_prelude

Trait BackgroundSubtractorKNNTrait

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pub trait BackgroundSubtractorKNNTrait: BackgroundSubtractorKNNTraitConst + BackgroundSubtractorTrait {
    // Required method
    fn as_raw_mut_BackgroundSubtractorKNN(&mut self) -> *mut c_void;

    // Provided methods
    fn set_history(&mut self, history: i32) -> Result<()> { ... }
    fn set_n_samples(&mut self, _n_n: i32) -> Result<()> { ... }
    fn set_dist2_threshold(&mut self, _dist2_threshold: f64) -> Result<()> { ... }
    fn setk_nn_samples(&mut self, _nk_nn: i32) -> Result<()> { ... }
    fn set_detect_shadows(&mut self, detect_shadows: bool) -> Result<()> { ... }
    fn set_shadow_value(&mut self, value: i32) -> Result<()> { ... }
    fn set_shadow_threshold(&mut self, threshold: f64) -> Result<()> { ... }
}
Expand description

Mutable methods for crate::video::BackgroundSubtractorKNN

Required Methods§

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fn as_raw_mut_BackgroundSubtractorKNN(&mut self) -> *mut c_void

Provided Methods§

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fn set_history(&mut self, history: i32) -> Result<()>

Sets the number of last frames that affect the background model

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fn set_n_samples(&mut self, _n_n: i32) -> Result<()>

Sets the number of data samples in the background model.

The model needs to be reinitalized to reserve memory.

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fn set_dist2_threshold(&mut self, _dist2_threshold: f64) -> Result<()>

Sets the threshold on the squared distance

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fn setk_nn_samples(&mut self, _nk_nn: i32) -> Result<()>

Sets the k in the kNN. How many nearest neighbours need to match.

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fn set_detect_shadows(&mut self, detect_shadows: bool) -> Result<()>

Enables or disables shadow detection

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fn set_shadow_value(&mut self, value: i32) -> Result<()>

Sets the shadow value

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fn set_shadow_threshold(&mut self, threshold: f64) -> Result<()>

Sets the shadow threshold

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§