用于(自动&& s:传感器) {
auto const v = Scoped(s->GetData(svp2_api::Mjpeg));
if (v != nullptr)
{
pointClouds.emplace_back(v->GetImage());
std::cout << pointClouds.back().channelCount << std::endl;
std::cout << pointClouds.back().channelType << std::endl;
std::cout << "Viz point Cloud\n";
int type = type = CV_8UC(pointClouds.back().channelCount);
cv::Mat tmp = cv::Mat(pointClouds.back().height, pointClouds.back().width, type, pointClouds.back().data);
imshow("Point Cloud",tmp);
cv::waitKey(1);
}
auto const W = Scoped(s->GetData(svp2_api::PointCloud));
if (W != nullptr)
{
// convert point cloud data from intenta type to opencv type
pointClouds.emplace_back(W->GetImage());
int type = GetMatChannelType(pointClouds.back());
std::cout << "Viz point Cloud\n";
//int type = type = CV_32FC(pointClouds.back().channelCount);
cv::Mat tmp = cv::Mat(pointClouds.back().height, pointClouds.back().width, type, pointClouds.back().data);
imshow("Point Cloud 1", tmp);
// convert point cloud data from opencv type to pcl type
// for developing and debuging add argument to the project properties --> every run or test available
// 0. pcl header files an library to the software project multisensor
// 1. declare pcl variables
// 2. must write /transfer image data from opencv mat to pcl format
// Note: 1. check data type opencv --> find similar data type for pcl
//
cv::waitKey(1);
}
}
}
//我有一个包含点云数据的流文件。我已经将其转换为opencv:Mat类型,现在我的目标是将其转换为pcl :: pointcloud类型