//Creates offsets that can be added to bounding boxes
//offsets are contained in the form delta11, delta12,... (combined index of dw and dh)
//Order: scale.tree->feature
void EnsembleClassifier::initFeatureOffsets() {
featureOffsets= new int[numScales*numTrees*numFeatures*2];
int *off = featureOffsets;
for (int k = 0; k < numScales; k++){
Size scale = scales[k];
for (int i = 0; i < numTrees; i++) {
for (int j = 0; j < numFeatures; j++) {
float *currentFeature = features + (4*numFeatures)*i +4*j;
*off++ = sub2idx((scale.width-1)*currentFeature[0]+1,(scale.height-1)*currentFeature[1]+1,imgWidthStep); //We add +1 because the index of the bounding box points to x-1, y-1
*off++ = sub2idx((scale.width-1)*currentFeature[2]+1,(scale.height-1)*currentFeature[3]+1,imgWidthStep);
}
}
}
}
//Creates offsets that can be added to bounding boxes
//offsets are contained in the form delta11, delta12,... (combined index of dw and dh)
//Order: scale->tree->feature
void DetectorCascade::initWindowOffsets()
{
windowOffsets = new int[TLD_WINDOW_OFFSET_SIZE * numWindows];
int *off = windowOffsets;
int windowSize = TLD_WINDOW_SIZE;
for(int i = 0; i < numWindows; i++)
{
int *window = windows + windowSize * i;
*off++ = sub2idx(window[0] - 1, window[1] - 1, imgWidthStep); // x1-1,y1-1
*off++ = sub2idx(window[0] - 1, window[1] + window[3] - 1, imgWidthStep); // x1-1,y2
*off++ = sub2idx(window[0] + window[2] - 1, window[1] - 1, imgWidthStep); // x2,y1-1
*off++ = sub2idx(window[0] + window[2] - 1, window[1] + window[3] - 1, imgWidthStep); // x2,y2
*off++ = window[4] * 2 * numFeatures * numTrees; // pointer to features for this scale
*off++ = window[2] * window[3]; //Area of bounding box
}
}
