Result visualizations

This module provides multiple options to visualize result images. For instance, the image can be demonstrated interactively with Bokeh, with adjusted contrast to better visualize detailed features, and with a transparency map.

Functions

Examples

Plot a single grayscale image interactively:

visaulization.bokeh_visualization(d.get_frame(0), palette=’pink’, save_option=False, imshow_same=True)

Plot multiple grayscale images side-by-side:

visualization.bokeh_visualization_mult([d.get_frame(0), d.average_image()], title_lst=[’Frame #1’, ’Average image’])

Plot a single RGBA image:

visaulization.bokeh_visualization_rgb(im_4d, save_option=False, imshow_same=True)

Enhance the contrast of the input image, and plot it with Bokeh:

en_im = visualization.enhance_contrast(d.ave, display_contrast=1.4)
visualization.bokeh_visualization_rgba(en_im)

Image visualization with a transparency map:

trans_im = add_transmap(im, trans_map=d.average_image(), cmap='pink')