Trait opencv::hub_prelude::BackgroundSubtractor
source · pub trait BackgroundSubtractor: AlgorithmTrait + BackgroundSubtractorConst {
fn as_raw_mut_BackgroundSubtractor(&mut self) -> *mut c_void;
fn apply(
&mut self,
image: &dyn ToInputArray,
fgmask: &mut dyn ToOutputArray,
learning_rate: f64
) -> Result<()> { ... }
}Expand description
Base class for background/foreground segmentation. :
The class is only used to define the common interface for the whole family of background/foreground segmentation algorithms.
Required Methods§
fn as_raw_mut_BackgroundSubtractor(&mut self) -> *mut c_void
Provided Methods§
sourcefn apply(
&mut self,
image: &dyn ToInputArray,
fgmask: &mut dyn ToOutputArray,
learning_rate: f64
) -> Result<()>
fn apply(
&mut self,
image: &dyn ToInputArray,
fgmask: &mut dyn ToOutputArray,
learning_rate: f64
) -> Result<()>
Computes a foreground mask.
Parameters
- image: Next video frame.
- fgmask: The output foreground mask as an 8-bit binary image.
- learningRate: The value between 0 and 1 that indicates how fast the background model is learnt. Negative parameter value makes the algorithm to use some automatically chosen learning rate. 0 means that the background model is not updated at all, 1 means that the background model is completely reinitialized from the last frame.
C++ default parameters
- learning_rate: -1