model

Vision.Features.FastNativeFrame

Public declarations

Explicit source declarations; dimensions, modifications and defaults are shown as written, without evaluation.

Role	Name	Type	Dimensions / attributes / default	Description
parameter	`height`	`Integer`	`= 90`
parameter	`width`	`Integer`	`= 160`
constant	`radius`	`Integer`	`= 3`
parameter	`channels`	`Integer`	`(min=3,max=4) = 4`
parameter	`absolute_threshold`	`Real`	`= 18`
parameter	`relative_threshold`	`Real`	`= 0`
parameter	`rank_scale`	`Real`	`= 1e8`
parameter	`suppression_radius`	`Real`	`= 3`
parameter	`feature_cap`	`Real`	`= 240`
input	`enabled`	`Boolean`	`= true`	False on held-IMU intervals without a camera acquisition
input	`rgb`	`Real`	`[height,width,channels] = fill(0.0,height,width,channels)`
output	`scores`	`Real`	`[height*width]`
output	`selection`	`Real`	`[8]`

Modelica declarations and implementation

Show parameters, interfaces and source

Parameters, inputs, outputs, defaults and equations from the source file.

model FastNativeFrame
  import FastFrameScores = Vision.Features.FastFrameScores;

  parameter Integer height = 90;
  parameter Integer width = 160;
  constant Integer radius = 3;
  parameter Integer channels(min=3,max=4) = 4;
  parameter Real absolute_threshold = 18;
  parameter Real relative_threshold = 0;
  parameter Real rank_scale = 1e8;
  parameter Real suppression_radius = 3;
  parameter Real feature_cap = 240;
  input Boolean enabled = true "False on held-IMU intervals without a camera acquisition";
  input Real rgb[height,width,channels] = fill(0.0,height,width,channels);
  output Real scores[height*width];
  output Real selection[8];
equation
  scores = FastFrameScores(rgb,enabled);
  selection = {absolute_threshold,relative_threshold,rank_scale,suppression_radius,feature_cap,1,3,3};
end FastNativeFrame;