点云对象的成员函数有称为“is_dense()”,如果所有的点都有效的返回true是为有限值。一个NaNs表明测量传感器距离到该点的距离值是有问题的,可能是因为传感器太近或太远,或者因为表面反射。那么当存在无效点云的NaNs值作为算法的输入的时候,可能会引起很多问题,比如“"Assertion `point_representation_->isValid (...
is_bigendian (false), point_step (0), row_step (0), data (), is_dense (false) {#ifdefined(BOOST_BIG_ENDIAN)is_bigendian=true;#elifdefined(BOOST_LITTLE_ENDIAN)is_bigendian=false;#else#error"unable to determine system endianness"#endif} ::pcl::PCLHeader header; pcl::uint32_t height...
点云对象的成员函数有称为“is_dense()”,如果所有的点都有效的返回true是为有限值。一个NaNs表明测量传感器距离到该点的距离值是有问题的,可能是因为传感器太近或太远,或者因为表面反射。那么当存在无效点云的NaNs值作为算法的输入的时候,可能会引起很多问题,比如“"Assertion `point_representation_->isValid (...
is_dense (false) {#ifdefined(BOOST_BIG_ENDIAN)is_bigendian=true;#elifdefined(BOOST_LITTLE_ENDIAN)is_bigendian=false;#else#error"unable to determine system endianness"#endif} ::pcl::PCLHeader header; pcl::uint32
pcl::PointCloud<pcl::PointXYZ>::Ptr cloud_out (newpcl::PointCloud<pcl::PointXYZ>);//随机填充点云cloud_in->width =5;//设置点云宽度cloud_in->height =1;//设置点云为无序点cloud_in->is_dense =false; cloud_in->points.resize (cloud_in->width * cloud_in->height);for(size_t i =...
pcl::PointCloud<pcl::PointXYZ>::Ptr cloud_in (new pcl::PointCloud<pcl::PointXYZ>); cloud_in->width = _head_width+1; cloud_in->height = _head_height+1; cloud_in->is_dense = true; for(int x=0; x<=width; x++) { for(int y=0; y<=height; y++) { float z = depths[x...
is_dense = feature2.is_dense = feature3.is_dense = true;for (float x = -5.0f; x <= 5.0f; x += 0.2f){for (float y = -5.0f; y <= 5.0f; y += 0.2f){FeatureT f;f.histogram[0] = x;f.histogram[1] = y;feature0.points.push_back (f);...
bool is_dense void resize(int) int size() T& operator[](int) T& at(int) T& at(int, int) shared_ptr[PointCloud[T]] makeShared() cdef extern from "pcl/point_types.h" namespace "pcl": cdef struct PointXYZ: PointXYZ() float x float y float z cdef struct Normal: pass cdef ext...
is_dense = false; cloud.points.resize(cloud.width * cloud.height); // Stores values (coordinates, color) for each point in a point cloud std::size_t i = 0; for (const auto& e : camera->constPoints()) { // X, Y, Z cloud[i].x = e(0); cloud[i].y = e(1); cloud[i...
Read(dir, release_txt, isDebug=False) 如上是去获取3rdParty目录及其子目录下满足条件设置的lib(debug版本和release版本也都做了区分)。生成的debug_3rdparty.txt和release_3rdparty.txt文本如下: 大家可在此脚本基础上做其它演变。 测试工程执行效果如下(工程也上传百度网盘): ...