UnaNancyOwen

if( !cloud->empty() ){
    // Create cv::Mat
    image = cv::Mat( cloud->height, cloud->width, CV_8UC4 );

    // pcl::PointCloud to cv::Mat
    #pragma omp parallel for
    for( int y = 0; y < image.rows; y++ ) {
        for( int x = 0; x < image.cols; x++ ) {
            pcl::PointXYZRGBA point = cloud->at( x, y );
            image.at<cv::Vec4b>( y, x )[0] = point.b;

roman-smirnov

template<typename PointT>
std::pair<typename pcl::PointCloud<PointT>::Ptr, typename pcl::PointCloud<PointT>::Ptr>
ProcessPointClouds<PointT>::SegmentPlane( typename pcl::PointCloud<PointT>::Ptr cloud, int maxIterations, float distanceThreshold) {

  // Time segmentation process
  auto startTime = std::chrono::steady_clock::now();

  // downsample input point cloud
  auto cloud_ds = DownSample(cloud, 1.0);

primus852

#!/bin/bash

### steps ####
# verify the system has a cuda-capable gpu
# download and install the nvidia cuda toolkit and cudnn
# setup environmental variables
# verify the installation
###

### to verify your gpu is cuda enable check