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 / tests / test_roipoly.py View on Github 
def roi1():
roi1_properties = {
'x': [1, 1, 3, 3],
'y': [1, 3, 3, 1]
}
fig = plt.figure()
roi1 = RoiPoly(color='r', fig=fig, show_fig=False)
roi1.x = roi1_properties['x']
roi1.y = roi1_properties['y']
return roi1plt.title("left click: line segment right click or double click: close region")
plt.show(block=False)
# Let user draw first ROI
roi1 = RoiPoly(color='r', fig=fig)
# Show the image with the first ROI
fig = plt.figure()
plt.imshow(img, interpolation='nearest', cmap="Greys")
plt.colorbar()
roi1.display_roi()
plt.title('draw second ROI')
plt.show(block=False)
# Let user draw second ROI
roi2 = RoiPoly(color='b', fig=fig)
# Show the image with both ROIs and their mean values
plt.imshow(img, interpolation='nearest', cmap="Greys")
plt.colorbar()
for roi in [roi1, roi2]:
roi.display_roi()
roi.display_mean(img)
plt.title('The two ROIs')
plt.show()
# Show ROI masks
plt.imshow(roi1.get_mask(img) + roi2.get_mask(img),
interpolation='nearest', cmap="Greys")
plt.title('ROI masks of the two ROIs')
plt.show()logging.basicConfig(format='%(levelname)s ''%(processName)-10s : %(asctime)s '
'%(module)s.%(funcName)s:%(lineno)s %(message)s',
level=logging.INFO)
# Create image
img = np.ones((100, 100)) * range(0, 100)
# Show the image
fig = plt.figure()
plt.imshow(img, interpolation='nearest', cmap="Greys")
plt.colorbar()
plt.title("left click: line segment right click or double click: close region")
plt.show(block=False)
# Let user draw first ROI
roi1 = RoiPoly(color='r', fig=fig)
# Show the image with the first ROI
fig = plt.figure()
plt.imshow(img, interpolation='nearest', cmap="Greys")
plt.colorbar()
roi1.display_roi()
plt.title('draw second ROI')
plt.show(block=False)
# Let user draw second ROI
roi2 = RoiPoly(color='b', fig=fig)
# Show the image with both ROIs and their mean values
plt.imshow(img, interpolation='nearest', cmap="Greys")
plt.colorbar()
for roi in [roi1, roi2]:
