main()
{
static int a[]={97,98,99,100,101,102,103,104};
int *pt=a+1;
printf("\n\n%u %d",pt,*pt);
ppt(++pt,pt--,pt,pt++,pt++);
}
void ModelToImage::computeDepthListMatrix(DepthListMatrix& mat)
{
cout << timestamp << "Initializting DepthListMatrix with dimensions " << m_width << " x " << m_height << endl;
// Set correct image width and height
for(int i = 0; i < m_height; i++)
{
mat.pixels.emplace_back(vector<vector<PanoramaPoint> >());
for(int j = 0; j < m_width; j++)
{
mat.pixels[i].push_back(vector<PanoramaPoint>());
}
}
// Get point array and size from buffer
size_t n_points;
floatArr points = m_points->getPointArray(n_points);
// Create progress output
string comment = timestamp.getElapsedTime() + "Projecting points ";
ProgressBar progress(n_points, comment);
float range;
int img_x, img_y;
for(int i = 0; i < n_points; i++)
{
Vertex<float> ppt(points[3 * i], points[3 * i + 1], points[3 * i + 2]);
m_projection->project(
img_x, img_y, range,
ppt.x, ppt.y, ppt.z);
// Update min and max ranges
if(range > mat.maxRange)
{
mat.maxRange = range;
}
if(range < mat.minRange)
{
mat.minRange = range;
}
if(range < m_maxZ)
{
// Add point index to image pixel
mat.pixels[img_y][img_x].emplace_back(PanoramaPoint(i));
}
++progress;
}
cout << endl;
}
tutor::PPoint2d pt_to_ppt(Point3d pt) {
tutor::PPoint2d ppt(pt.x, pt.y, pt.z);
return ppt;
}
