urbanlc.analyze.visualizer

Functions

get_esa_colormap()	Retrieve the colormap and normalization for ESA (European Space Agency) WorldCover 2021 v200 labels.
plot_change([img_paths, root, framerate, ...])	Create a video plot to visualize changes over time based on image paths or a root directory.
plot_class_distribution(data[, normalize, ...])	Plot the class distribution based on input labels.
plot_land_cover(img, ax[, save_path, title])	Plot land cover data on a given matplotlib axis.
plot_landsat(img, dataset[, save_path, ...])	Plot RGB band of the given Landsat image on a given matplotlib axis.
show_esa_label()	Display the ESA (European Space Agency) WorldCover 2021 v200 label colormap and descriptions.
visualize_data_batch(images, gts, dataset, ax)	Visualize a batch of data containing Landsat images and corresponding ground truth land cover maps.