How to use the roipoly.roipoly function in roipoly
To help you get started, we’ve selected a few roipoly examples, based on popular ways it is used in public projects.
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jdoepfert / roipoly.py / examples / old_example.py View on Github 
"""Test if the old example still works
(commit 80737fa9d66d839e52b40d7cadcf02e143a86b4a)"""
import pylab as pl
from roipoly import roipoly
# create image
img = pl.ones((100, 100)) * range(0, 100)
# show the image
pl.imshow(img, interpolation='nearest', cmap="Greys")
pl.colorbar()
pl.title("left click: line segment right click: close region")
# let user draw first ROI
ROI1 = roipoly(roicolor='r') # let user draw first ROI
# show the image with the first ROI
pl.imshow(img, interpolation='nearest', cmap="Greys")
pl.colorbar()
ROI1.displayROI()
pl.title('draw second ROI')
# let user draw second ROI
ROI2 = roipoly(roicolor='b') # let user draw ROI
# show the image with both ROIs and their mean values
pl.imshow(img, interpolation='nearest', cmap="Greys")
pl.colorbar()
[x.displayROI() for x in [ROI1, ROI2]]
[x.displayMean(img) for x in [ROI1, ROI2]]
pl.title('The two ROIs')# show the image
pl.imshow(img, interpolation='nearest', cmap="Greys")
pl.colorbar()
pl.title("left click: line segment right click: close region")
# let user draw first ROI
ROI1 = roipoly(roicolor='r') # let user draw first ROI
# show the image with the first ROI
pl.imshow(img, interpolation='nearest', cmap="Greys")
pl.colorbar()
ROI1.displayROI()
pl.title('draw second ROI')
# let user draw second ROI
ROI2 = roipoly(roicolor='b') # let user draw ROI
# show the image with both ROIs and their mean values
pl.imshow(img, interpolation='nearest', cmap="Greys")
pl.colorbar()
[x.displayROI() for x in [ROI1, ROI2]]
[x.displayMean(img) for x in [ROI1, ROI2]]
pl.title('The two ROIs')
pl.show()
# show ROI masks
pl.imshow(ROI1.getMask(img) + ROI2.getMask(img),
interpolation='nearest', cmap="Greys")
pl.title('ROI masks of the two ROIs')
pl.show()
