neodroidvision.segmentation.gmm.visualisation

Functions

visualise_3d_gmm(points, w, mu, std_dev[, ...])	plots points and their corresponding gmm model in 3D Input: points: N X 3, sampled points w: n_components, gmm weights mu: 3 X n_components, gmm means std_dev: 3 X n_components, gmm standard deviation (assuming diagonal covariance matrix) Output: None
visualise_2D_gmm(points, w, mu, std_dev[, ...])	plots points and their corresponding gmm model in 2D Input: points: N X 2, sampled points w: n_components, gmm weights mu: 2 X n_components, gmm means std_dev: 2 X n_components, gmm standard deviation (assuming diagonal covariance matrix) Output: None