Commit b87be96f authored by Patrik Huber's avatar Patrik Huber

Improved documentation a bit

parent 097a04f9
...@@ -38,7 +38,7 @@ elseif(CMAKE_CXX_COMPILER_ID STREQUAL "Clang") ...@@ -38,7 +38,7 @@ elseif(CMAKE_CXX_COMPILER_ID STREQUAL "Clang")
if(HAS_CXX14_FLAG) if(HAS_CXX14_FLAG)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++14") set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++14")
endif() endif()
else() else() # no GNU, no MSVC, no Clang
message(WARNING "You are using an unsupported compiler. Compilation has only been tested with MSVC, GCC and Clang.") message(WARNING "You are using an unsupported compiler. Compilation has only been tested with MSVC, GCC and Clang.")
check_cxx_compiler_flag(-std=c++14 HAS_CXX14_FLAG) check_cxx_compiler_flag(-std=c++14 HAS_CXX14_FLAG)
if(HAS_CXX14_FLAG) if(HAS_CXX14_FLAG)
......
...@@ -48,7 +48,7 @@ namespace eos { ...@@ -48,7 +48,7 @@ namespace eos {
* Note: The standard deviations given should be a vector, i.e. different for each landmark. This is not implemented yet. * Note: The standard deviations given should be a vector, i.e. different for each landmark. This is not implemented yet.
* *
* @param[in] morphable_model The Morphable Model whose shape (coefficients) are estimated. * @param[in] morphable_model The Morphable Model whose shape (coefficients) are estimated.
* @param[in] affine_camera_matrix A 3x4 affine camera matrix from world to clip-space (should probably be of type CV_32FC1 as all our calculations are done with float). * @param[in] affine_camera_matrix A 3x4 affine camera matrix from model to screen-space (should probably be of type CV_32FC1 as all our calculations are done with float).
* @param[in] landmarks 2D landmarks from an image, given in clip-coordinates. * @param[in] landmarks 2D landmarks from an image, given in clip-coordinates.
* @param[in] vertex_ids The vertex ids in the model that correspond to the 2D points. * @param[in] vertex_ids The vertex ids in the model that correspond to the 2D points.
* @param[in] lambda The regularisation parameter (weight of the prior towards the mean). * @param[in] lambda The regularisation parameter (weight of the prior towards the mean).
......
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