remotesensingProject/rslf__types_8hpp_source.html

 #ifndef _RSLF_TYPES
 #define _RSLF_TYPES

 //~ #include <vector>
 //~ #include <string>

 #include <opencv2/core/core.hpp>


 namespace rslf
 {

 /*
  * Aliases
  */

 using Mat = cv::Mat;

 template<typename T>
 using Vec = std::vector<T>;

 std::string type2str(int type);

 template<typename DataType>
 DataType nan_type();

 template<typename DataType>
 bool is_nan_type(DataType x);

 template<>
 bool is_nan_type<float>(float x);

 template<>
 bool is_nan_type<cv::Vec3f>(cv::Vec3f x);

 template<typename DataType>
 cv::Scalar zero_scalar();

 template<>
 cv::Scalar zero_scalar<float>();

 template<>
 cv::Scalar zero_scalar<cv::Vec3f>();

 template<typename DataType>
 float norm(DataType x);


 }

 #endif
rslf::type2str
std::string type2str(int type)
Get an explicit form of an OpenCV type.
Definition: rslf_types.cpp:52

rslf::Vec
std::vector< T > Vec
RSLF Vector class (std::vector)
Definition: rslf_types.hpp:32

rslf
Definition: rslf_depth_computation.hpp:14

rslf::norm
float norm(DataType x)
Implement the euclidean norm.

rslf::is_nan_type
bool is_nan_type(DataType x)
Check whether the element is NaN.

rslf::nan_type
DataType nan_type()
Implement NaN.

rslf::Mat
cv::Mat Mat
RSLF Matrix class (cv::Mat)
Definition: rslf_types.hpp:26

rslf::zero_scalar
cv::Scalar zero_scalar()
Impelment zero.