Added a couple more py::arg

python/generate-python-bindings.cpp

@@ -225,8 +225,8 @@ PYBIND11_PLUGIN(eos) {
 		.def("get_data_dimension", &morphablemodel::PcaModel::get_data_dimension, "Returns the dimension of the data, i.e. the number of shape dimensions.")
 		.def("get_triangle_list", &morphablemodel::PcaModel::get_triangle_list, "Returns a list of triangles on how to assemble the vertices into a mesh.")
 		.def("get_mean", &morphablemodel::PcaModel::get_mean, "Returns the mean of the model.")
-		.def("get_mean_at_point", &morphablemodel::PcaModel::get_mean_at_point, "Return the value of the mean at a given vertex index.")
-		.def("draw_sample", (cv::Mat (morphablemodel::PcaModel::*)(std::vector<float>) const)&morphablemodel::PcaModel::draw_sample, "Returns a sample from the model with the given PCA coefficients. The given coefficients should follow a standard normal distribution, i.e. not be scaled with their eigenvalues/variances.")
+		.def("get_mean_at_point", &morphablemodel::PcaModel::get_mean_at_point, "Return the value of the mean at a given vertex index.", py::arg("vertex_index"))
+		.def("draw_sample", (cv::Mat (morphablemodel::PcaModel::*)(std::vector<float>) const)&morphablemodel::PcaModel::draw_sample, "Returns a sample from the model with the given PCA coefficients. The given coefficients should follow a standard normal distribution, i.e. not be scaled with their eigenvalues/variances.", py::arg("coefficients"))
 		;
 
 	py::class_<morphablemodel::MorphableModel>(morphablemodel_module, "MorphableModel", "A class representing a 3D Morphable Model, consisting of a shape- and colour (albedo) PCA model, as well as texture (uv) coordinates.")