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; }