How to use

set

method

in

boofcv.struct.ImageRectangle

public ImageRectangle(int x0, int y0, int x1, int y1) {
  set(x0,y0,x1,y1);
}

public ImageRectangle( ImageRectangle orig ) {
  set(orig);
}

public static IntegralKernel kernelDerivXY( int size , IntegralKernel ret ) {
  if( ret == null )
    ret = new IntegralKernel(4);
  int block = size/3;
  ret.blocks[0].set(-block-1,-block-1,-1,-1);
  ret.blocks[1].set(0,-block-1,block,-1);
  ret.blocks[2].set(0, 0, block, block);
  ret.blocks[3].set(-block-1,0,-1,block);
  ret.scales[0] = 1;
  ret.scales[1] = -1;
  ret.scales[2] = 1;
  ret.scales[3] = -1;
  return ret;
}

public static IntegralKernel kernelDerivYY( int size , IntegralKernel ret ) {
  if( ret == null )
    ret = new IntegralKernel(2);
  int blockW = size/3;
  int blockH = size-blockW-1;
  int r1 = blockW/2;
  int r2 = blockW+r1;
  int r3 = blockH/2;
  ret.blocks[0].set(-r3-1,-r2-1,r3,r2);
  ret.blocks[1].set(-r3-1,-r1-1,r3,r1);
  ret.scales[0] = 1;
  ret.scales[1] = -3;
  return ret;
}

/**
 * Creates a kernel for a symmetric box derivative.
 *
 * @param r Radius of the box.  width is 2*r+1
 * @return Kernel Kernel for derivative.
 */
public static IntegralKernel kernelDerivX( int r , IntegralKernel ret ) {
  if( ret == null )
    ret = new IntegralKernel(2);
  ret.blocks[0].set(-r-1,-r-1,-1,r);
  ret.blocks[1].set(0,-r-1,r,r);
  ret.scales[0] = -1;
  ret.scales[1] = 1;
  return ret;
}

public static IntegralKernel kernelDerivXX( int size , IntegralKernel ret ) {
  if( ret == null )
    ret = new IntegralKernel(2);
  // lobe size
  int blockW = size/3;
  // horizontal band size
  int blockH = size-blockW-1;
  int r1 = blockW/2;
  int r2 = blockW+r1;
  int r3 = blockH/2;
  ret.blocks[0].set(-r2-1,-r3-1,r2,r3);
  ret.blocks[1].set(-r1 - 1, -r3 - 1, r1, r3);
  ret.scales[0] = 1;
  ret.scales[1] = -3;
  return ret;
}

/**
 * Creates a kernel for the Haar wavelet "centered" around the target pixel.
 *
 * @param r Radius of the box.  width is 2*r
 * @return Kernel for a Haar y-axis wavelet.
 */
public static IntegralKernel kernelHaarY( int r , IntegralKernel ret) {
  if( ret == null )
    ret = new IntegralKernel(2);
  ret.blocks[0].set(-r,-r,r,0);
  ret.blocks[1].set(-r,0,r,r);
  ret.scales[0] = -1;
  ret.scales[1] = 1;
  return ret;
}

/**
 * Creates a kernel for the Haar wavelet "centered" around the target pixel.
 *
 * @param r Radius of the box.  width is 2*r
 * @return Kernel for a Haar x-axis wavelet.
 */
public static IntegralKernel kernelHaarX( int r , IntegralKernel ret) {
  if( ret == null )
    ret = new IntegralKernel(2);
  ret.blocks[0].set(-r, -r, 0, r);
  ret.blocks[1].set(0,-r,r,r);
  ret.scales[0] = -1;
  ret.scales[1] = 1;
  return ret;
}

/**
 * Creates a kernel for a symmetric box derivative.
 *
 * @param r Radius of the box.  width is 2*r+1
 * @return Kernel Kernel for derivative.
 */
public static IntegralKernel kernelDerivY( int r , IntegralKernel ret ) {
  if( ret == null )
    ret = new IntegralKernel(2);
  ret.blocks[0].set(-r-1,-r-1,r,-1);
  ret.blocks[1].set(-r-1,0,r,r);
  ret.scales[0] = -1;
  ret.scales[1] = 1;
  return ret;
}

/**
 * Computes the confidence for all the regions which pass the fern test
 */
protected void computeTemplateConfidence() {
  double max = 0;
  for( int i = 0; i < fernRegions.size(); i++ ) {
    ImageRectangle region = fernRegions.get(i);
    double confidence = template.computeConfidence(region);
    max = Math.max(max,confidence);
    if( confidence < config.confidenceThresholdUpper)
      continue;
    TldRegion r = candidateDetections.grow();
    r.connections = 0;
    r.rect.set(region);
    r.confidence = confidence;
  }
}

private void addDetections( FastQueue<TldRegion> detections ) {
  this.detections.reset();
  for( TldRegion r : detections.toList() ){
    TldRegion a = this.detections.grow();
    a.confidence = r.confidence;
    a.rect.set(r.rect);
  }
}

private void addDetections( FastQueue<TldRegion> detections ) {
  this.detections.reset();
  for( TldRegion r : detections.toList() ){
    TldRegion a = this.detections.grow();
    a.confidence = r.confidence;
    a.rect.set(r.rect);
  }
}

  o.connections = ra.connections;
  o.confidence = ra.confidence;
  o.rect.set(ra.rect);
} else if( ra.connections == 0 ) {
  System.out.println("Not a maximum but has zero connections?");