Struct opencv::tracking::TrackerKCF_Params

pub struct TrackerKCF_Params { /* fields omitted */ }

Implementations

impl TrackerKCF_Params

pub fn as_raw_TrackerKCF_Params(&self) -> *const c_void

pub fn as_raw_mut_TrackerKCF_Params(&mut self) -> *mut c_void

impl TrackerKCF_Params

pub fn default() -> Result<TrackerKCF_Params>

\brief Constructor

Trait Implementations

impl Boxed for TrackerKCF_Params

unsafe fn from_raw(ptr: *mut c_void) -> Self

Wrap the specified raw pointer

fn into_raw(self) -> *mut c_void

Return an the underlying raw pointer while consuming this wrapper.

fn as_raw(&self) -> *const c_void

Return the underlying raw pointer.

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

Return the underlying mutable raw pointer

impl Drop for TrackerKCF_Params

fn drop(&mut self)

Executes the destructor for this type.

impl Send for TrackerKCF_Params

impl TrackerKCF_ParamsTrait for TrackerKCF_Params

fn as_raw_TrackerKCF_Params(&self) -> *const c_void

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

fn detect_thresh(&self) -> f32

detection confidence threshold

fn set_detect_thresh(&mut self, val: f32)

detection confidence threshold

fn sigma(&self) -> f32

gaussian kernel bandwidth

fn set_sigma(&mut self, val: f32)

gaussian kernel bandwidth

fn lambda(&self) -> f32

regularization

fn set_lambda(&mut self, val: f32)

regularization

fn interp_factor(&self) -> f32

linear interpolation factor for adaptation

fn set_interp_factor(&mut self, val: f32)

linear interpolation factor for adaptation

fn output_sigma_factor(&self) -> f32

spatial bandwidth (proportional to target)

fn set_output_sigma_factor(&mut self, val: f32)

spatial bandwidth (proportional to target)

fn pca_learning_rate(&self) -> f32

compression learning rate

fn set_pca_learning_rate(&mut self, val: f32)

compression learning rate

fn resize(&self) -> bool

activate the resize feature to improve the processing speed

fn set_resize(&mut self, val: bool)

activate the resize feature to improve the processing speed

fn split_coeff(&self) -> bool

split the training coefficients into two matrices

fn set_split_coeff(&mut self, val: bool)

split the training coefficients into two matrices

fn wrap_kernel(&self) -> bool

wrap around the kernel values

fn set_wrap_kernel(&mut self, val: bool)

wrap around the kernel values

fn compress_feature(&self) -> bool

activate the pca method to compress the features

fn set_compress_feature(&mut self, val: bool)

activate the pca method to compress the features

fn max_patch_size(&self) -> i32

threshold for the ROI size

fn set_max_patch_size(&mut self, val: i32)

threshold for the ROI size

fn compressed_size(&self) -> i32

feature size after compression

fn set_compressed_size(&mut self, val: i32)

feature size after compression

fn desc_pca(&self) -> i32

compressed descriptors of TrackerKCF::MODE

fn set_desc_pca(&mut self, val: i32)

compressed descriptors of TrackerKCF::MODE

fn desc_npca(&self) -> i32

non-compressed descriptors of TrackerKCF::MODE

fn set_desc_npca(&mut self, val: i32)

non-compressed descriptors of TrackerKCF::MODE

fn read(&mut self, unnamed: &FileNode) -> Result<()>

\brief Read parameters from a file

fn write(&self, unnamed: &mut FileStorage) -> Result<()>

\brief Write parameters to a file