[−][src]Trait opencv::hub_prelude::BackgroundSubtractorCNT
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
pub fn as_raw_BackgroundSubtractorCNT(&self) -> *const c_void
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pub fn as_raw_mut_BackgroundSubtractorCNT(&mut self) -> *mut c_void
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Provided methods
pub fn apply(
&mut self,
image: &dyn ToInputArray,
fgmask: &mut dyn ToOutputArray,
learning_rate: f64
) -> Result<()>
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&mut self,
image: &dyn ToInputArray,
fgmask: &mut dyn ToOutputArray,
learning_rate: f64
) -> Result<()>
C++ default parameters
- learning_rate: -1
pub fn get_background_image(
&self,
background_image: &mut dyn ToOutputArray
) -> Result<()>
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&self,
background_image: &mut dyn ToOutputArray
) -> Result<()>
pub fn get_min_pixel_stability(&self) -> Result<i32>
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Returns number of frames with same pixel color to consider stable.
pub fn set_min_pixel_stability(&mut self, value: i32) -> Result<()>
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Sets the number of frames with same pixel color to consider stable.
pub fn get_max_pixel_stability(&self) -> Result<i32>
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Returns maximum allowed credit for a pixel in history.
pub fn set_max_pixel_stability(&mut self, value: i32) -> Result<()>
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Sets the maximum allowed credit for a pixel in history.
pub fn get_use_history(&self) -> Result<bool>
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Returns if we're giving a pixel credit for being stable for a long time.
pub fn set_use_history(&mut self, value: bool) -> Result<()>
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Sets if we're giving a pixel credit for being stable for a long time.
pub fn get_is_parallel(&self) -> Result<bool>
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Returns if we're parallelizing the algorithm.
pub fn set_is_parallel(&mut self, value: bool) -> Result<()>
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Sets if we're parallelizing the algorithm.