MIR.utils.visualization_utils

Visualization helpers for grids and colormaps.

Functions

get_cmap(n[, name])	Return a matplotlib colormap with n distinct colors.
mk_grid_img([grid_step, line_thickness, ...])	Create a grid image tensor for visualization (e.g. to warp and display a deformation).
pca_reduce_channels_cpu(x[, k])	Reduce the channel dimension via per-sample PCA (SVD computed on CPU) for visualization.