[−][src]Trait opencv::bgsegm::BackgroundSubtractorCNT

pub trait BackgroundSubtractorCNT {
    fn as_raw_BackgroundSubtractorCNT(&self) -> *mut c_void;

    fn apply(
        &mut self, 
        image: &dyn ToInputArray, 
        fgmask: &mut dyn ToOutputArray, 
        learning_rate: f64
    ) -> Result<()> { ... }

    fn get_background_image(
        &self, 
        background_image: &mut dyn ToOutputArray
    ) -> Result<()> { ... }

    fn get_min_pixel_stability(&self) -> Result<i32> { ... }

    fn set_min_pixel_stability(&mut self, value: i32) -> Result<()> { ... }

    fn get_max_pixel_stability(&self) -> Result<i32> { ... }

    fn set_max_pixel_stability(&mut self, value: i32) -> Result<()> { ... }

    fn get_use_history(&self) -> Result<bool> { ... }

    fn set_use_history(&mut self, value: bool) -> Result<()> { ... }

    fn get_is_parallel(&self) -> Result<bool> { ... }

    fn set_is_parallel(&mut self, value: bool) -> Result<()> { ... }
}

Background subtraction based on counting.

About as fast as MOG2 on a high end system. More than twice faster than MOG2 on cheap hardware (benchmarked on Raspberry Pi3).

%Algorithm by Sagi Zeevi ( https://github.com/sagi-z/BackgroundSubtractorCNT )

Required methods

fn as_raw_BackgroundSubtractorCNT(&self) -> *mut c_void

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Provided methods

fn apply(
    &mut self,
    image: &dyn ToInputArray,
    fgmask: &mut dyn ToOutputArray,
    learning_rate: f64
) -> Result<()>

C++ default parameters

  • learning_rate: -1

fn get_background_image(
    &self,
    background_image: &mut dyn ToOutputArray
) -> Result<()>

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

Returns number of frames with same pixel color to consider stable.

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

Sets the number of frames with same pixel color to consider stable.

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

Returns maximum allowed credit for a pixel in history.

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

Sets the maximum allowed credit for a pixel in history.

fn get_use_history(&self) -> Result<bool>

Returns if we're giving a pixel credit for being stable for a long time.

fn set_use_history(&mut self, value: bool) -> Result<()>

Sets if we're giving a pixel credit for being stable for a long time.

fn get_is_parallel(&self) -> Result<bool>

Returns if we're parallelizing the algorithm.

fn set_is_parallel(&mut self, value: bool) -> Result<()>

Sets if we're parallelizing the algorithm.

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Implementors

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