本文整理汇总了C++中rangelikelihood::Ptr::row_height方法的典型用法代码示例。如果您正苦于以下问题:C++ Ptr::row_height方法的具体用法?C++ Ptr::row_height怎么用?C++ Ptr::row_height使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类rangelikelihood::Ptr
的用法示例。
在下文中一共展示了Ptr::row_height方法的2个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: display
void display() {
glViewport(range_likelihood_->width(), 0, range_likelihood_->width(), range_likelihood_->height());
float* reference = new float[range_likelihood_->row_height() * range_likelihood_->col_width()];
const float* depth_buffer = range_likelihood_->depth_buffer();
// Copy one image from our last as a reference.
for (int i=0, n=0; i<range_likelihood_->row_height(); ++i) {
for (int j=0; j<range_likelihood_->col_width(); ++j) {
reference[n++] = depth_buffer[i*range_likelihood_->width() + j];
}
}
std::vector<Eigen::Isometry3d, Eigen::aligned_allocator<Eigen::Isometry3d> > poses;
std::vector<float> scores;
int n = range_likelihood_->rows()*range_likelihood_->cols();
for (int i=0; i<n; ++i) {
Camera camera(*camera_);
camera.move(0.0,i*0.02,0.0);
poses.push_back(camera.pose());
}
float* depth_field =NULL;
bool do_depth_field =false;
range_likelihood_->compute_likelihoods(reference, poses, scores,depth_field,do_depth_field);
// range_likelihood_->compute_likelihoods(reference, poses, scores);
delete [] reference;
delete [] depth_field;
std::cout << "score: ";
for (size_t i=0; i<scores.size(); ++i) {
std::cout << " " << scores[i];
}
std::cout << std::endl;
// Draw the depth image
// glClear(GL_COLOR_BUFFER_BIT | GL_DEPTH_BUFFER_BIT);
// glColorMask(true, true, true, true);
glDisable(GL_DEPTH_TEST);
glViewport(0, 0, range_likelihood_->width(), range_likelihood_->height());
//glViewport(0, 0, range_likelihood_->width(), range_likelihood_->height());
glMatrixMode(GL_PROJECTION);
glLoadIdentity();
glMatrixMode(GL_MODELVIEW);
glLoadIdentity();
//glRasterPos2i(-1,-1);
//glDrawPixels(range_likelihood_->width(), range_likelihood_->height(), GL_LUMINANCE, GL_FLOAT, range_likelihood_->depth_buffer());
display_depth_image(range_likelihood_->depth_buffer());
glutSwapBuffers();
}
示例2: display
void display() {
glViewport(range_likelihood_->width(), 0, range_likelihood_->width(), range_likelihood_->height());
float* reference = new float[range_likelihood_->row_height() * range_likelihood_->col_width()];
const float* depth_buffer = range_likelihood_->depth_buffer();
// Copy one image from our last as a reference.
for (int i=0, n=0; i<range_likelihood_->row_height(); ++i) {
for (int j=0; j<range_likelihood_->col_width(); ++j) {
reference[n++] = depth_buffer[i*range_likelihood_->width() + j];
}
}
std::vector<Eigen::Isometry3d, Eigen::aligned_allocator<Eigen::Isometry3d> > poses;
std::vector<float> scores;
int n = range_likelihood_->rows()*range_likelihood_->cols();
for (int i=0; i<n; ++i) { // This is used when there is
Camera camera(*camera_);
camera.move(0.0,0.0,0.0);
//camera.move(0.0,i*0.02,0.0);
poses.push_back(camera.pose());
}
float* depth_field =NULL;
bool do_depth_field =false;
range_likelihood_->compute_likelihoods(reference, poses, scores,depth_field,do_depth_field);
// range_likelihood_->compute_likelihoods(reference, poses, scores);
delete [] reference;
delete [] depth_field;
std::cout << "score: ";
for (size_t i=0; i<scores.size(); ++i) {
std::cout << " " << scores[i];
}
std::cout << std::endl;
// Draw the depth image
// glClear(GL_COLOR_BUFFER_BIT | GL_DEPTH_BUFFER_BIT);
// glColorMask(true, true, true, true);
glDisable(GL_DEPTH_TEST);
glViewport(0, 0, range_likelihood_->width(), range_likelihood_->height());
//glViewport(0, 0, range_likelihood_->width(), range_likelihood_->height());
glMatrixMode(GL_PROJECTION);
glLoadIdentity();
glMatrixMode(GL_MODELVIEW);
glLoadIdentity();
//glRasterPos2i(-1,-1);
//glDrawPixels(range_likelihood_->width(), range_likelihood_->height(), GL_LUMINANCE, GL_FLOAT, range_likelihood_->depth_buffer());
display_depth_image(range_likelihood_->depth_buffer());
glutSwapBuffers();
if (write_file_){
range_likelihood_->addNoise();
pcl::RangeImagePlanar rangeImage;
range_likelihood_->getRangeImagePlanar(rangeImage);
pcl::PointCloud<pcl::PointXYZRGB>::Ptr pc_out (new pcl::PointCloud<pcl::PointXYZRGB>);
// Optional argument to save point cloud in global frame:
// Save camera relative:
//range_likelihood_->getPointCloud(pc_out);
// Save in global frame - applying the camera frame:
//range_likelihood_->getPointCloud(pc_out,true,camera_->pose());
// Save in local frame
range_likelihood_->getPointCloud(pc_out,false,camera_->pose());
// TODO: what to do when there are more than one simulated view?
pcl::PCDWriter writer;
writer.write ("simulated_range_image.pcd", *pc_out, false);
cout << "finished writing file\n";
pcl::visualization::CloudViewer viewer ("Simple Cloud Viewer");
viewer.showCloud (pc_out);
// Problem: vtk and opengl dont seem to play very well together
// vtk seems to misbehavew after a little while and wont keep the window on the screen
// method1: kill with [x] - but eventually it crashes:
//while (!viewer.wasStopped ()){
//}
// method2: eventually starts ignoring cin and pops up on screen and closes almost
// immediately
// cout << "enter 1 to cont\n";
// cin >> pause;
// viewer.wasStopped ();
// method 3: if you interact with the window with keys, the window is not closed properly
// TODO: use pcl methods as this time stuff is probably not cross playform
struct timespec t;
t.tv_sec = 100;
//t.tv_nsec = (time_t)(20000000); // short sleep
t.tv_nsec = (time_t)(0); // long sleep - normal speed
nanosleep(&t, NULL);
write_file_ =0;
}
}