How to use roipoly - 7 common examples

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 roi1

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]:
    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]:

"""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()

# Only draw a new ROI if the previous one is completed
        if self.rois:
            if not all(r.completed for r in self.rois.values()):
                return

        count = len(self.rois)
        idx = count % len(self.color_cycle)
        logger.debug("Creating new ROI {}".format(count))
        if self.roi_names is not None and idx < len(self.roi_names):
            roi_name = self.roi_names[idx]
        else:
            roi_name = str(count + 1)

        self.ax.set_title("Draw ROI '{}'".format(roi_name))
        plt.draw()
        roi = RoiPoly(color=self.color_cycle[idx],
                      fig=self.fig,
                      ax=self.ax,
                      close_fig=False,
                      show_fig=False)
        self.rois[roi_name] = roi

def roipoly(*args, **kwargs):
    deprecation("Import 'RoiPoly' instead of 'roipoly'!")
    return RoiPoly(*args, **kwargs)