Visualize object sizes¶

This function plots separate objects as different colors and annotates the largest objects with their respective sizes.

plantcv.visualize.obj_sizes(img, mask, num_objects=100)

returns plotting_img

• Parameters:

  • img - RGB or grayscale image data for plotting annotations.
  • mask - Binary mask made from selected contours.
  • num_objects - Optional parameter to limit the number of objects that will get annotated, default num_objects=100).

• Context:

  • Used to annotate object sizes in a binary mask. This visualization aims to streamline the workflow building process, especially while deciding the size threshold for a fill step.
• Example use:
  • Below

Original image:

Binary mask:

from plantcv import plantcv as pcv

pcv.params.debug='plot'

plotting_img = pcv.visualize.obj_sizes(img=rgb_img, mask=mask, num_objects=27)

Output Visualization

Source Code: Here