Struct flydra_feature_detector::ImPtDetectCfg

pub struct ImPtDetectCfg {

    pub do_update_background_model: bool,
    pub polarity: ContrastPolarity,
    pub alpha: f32,
    pub n_sigma: f32,
    pub bright_non_gaussian_cutoff: u8,
    pub bright_non_gaussian_replacement: u8,
    pub bg_update_interval: u32,
    pub diff_threshold: u8,
    pub use_cmp: bool,
    pub max_num_points: u16,
    pub feature_window_size: u16,
    pub clear_fraction: f32,
    pub despeckle_threshold: u8,
    pub valid_region: Shape,
}

Configuration parameters for feature detection.

These parameters are used in the 2D feature detection step. As such, they are used to parameterize how incoming images are analyzed so that relevant features are extracted and sent onwards for consideration as candidates for 3D tracking.

Fields

do_update_background_model: bool

Switch whether to continuously update the background model or not.

polarity: ContrastPolarity

What kind of difference from the background model to detect.

alpha: f32

How much to weight the update of the background model.

Valid range is 0.0 - 1.0. 0.0 means never update, 1.0 means complete replacement on every update.

n_sigma: f32

Number of standard deviations a pixel must differ by to be detected.

Used when use_cmp is true. No effect when use_cmp is false. Valid range is 0.0 - infinity. 0.0 means any difference is detected, large value means only large deviations from mean are detected.

bright_non_gaussian_cutoff: u8

(used when use_cmp is true)

bright_non_gaussian_replacement: u8

(used when use_cmp is true)

bg_update_interval: u32

How often to update the background model, in number of frames.

Valid range is 0-4294967295.

diff_threshold: u8

This is the absolute difference required to detect a point. (For both use_cmp true and false.)

use_cmp: bool

If use_cmp is true, use n_sigma based difference.

max_num_points: u16

How many points above threshold can be detected.

feature_window_size: u16

Half the width (and half the height) of the analysis region. In pixels.

clear_fraction: f32

Reduces moment arm when detecting pixels.

The result of this computation or despecked_threshold is used, whichever is larger. Fraction of the maximum difference value in pixel intensity. Valid range is 0.0 - 1.0. 0.0 means the value is 0, 1.0 means the value used is the maximum difference in pixel intensity between the current image and the mean of the background model.

despeckle_threshold: u8

Reduces moment arm when detecting pixels.

This value or the result of the clear_fraction computation is used, whichever is larger. Intensity difference value. Value range is 0-255.

valid_region: Shape

The shape of the reason over which detected points are checked.

Trait Implementations

impl Clone for ImPtDetectCfg

fn clone(&self) -> ImPtDetectCfg

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for ImPtDetectCfg

fn fmt(&self, f: &mut Formatter<'_>) -> Result<(), Error>

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for ImPtDetectCfg

fn deserialize<__D>( __deserializer: __D ) -> Result<ImPtDetectCfg, <__D as Deserializer<'de>>::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for ImPtDetectCfg

fn eq(&self, other: &ImPtDetectCfg) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Serialize for ImPtDetectCfg

fn serialize<__S>( &self, __serializer: __S ) -> Result<<__S as Serializer>::Ok, <__S as Serializer>::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for ImPtDetectCfg