def update_labeled_image_data(self):
im = self.image_data.arrays.get('im')[:, :, 0]
bw = get_cleared_binary_image(im)
bx, by = get_region_bounds(bw)
apd = ArrayPlotData(im=bw)
for i in range(len(bx)):
minc, maxc = bx[i]
minr, maxr = by[i]
key = "bb" + str(i)
apd.update({key + 'topx': (minc, maxc),
key + 'topy': (maxr, maxr),
key + 'botx': (minc, maxc),
key + 'boty': (minr, minr),
key + 'leftx': (minc, minc),
key + 'lefty': (minr, maxr),
key + 'rightx': (maxc, maxc),
key + 'righty': (minr, maxr)})
plot = Plot(apd)
plot.img_plot('im', colormap=gray, origin='bottom left')
for i in range((len(apd.arrays) - 1) / 8):
key = 'bb' + str(i)
plot.plot((key + 'topx', key + 'topy'), color='green',
line_width=3)
plot.plot((key + 'botx', key + 'boty'), color='green',
line_width=3)
plot.plot((key + 'leftx', key + 'lefty'), color='green',
line_width=3)
plot.plot((key + 'rightx', key + 'righty'), color='green',
line_width=3)
self.labeled_image_plot = plot
def test_get_region_bounds(self):
test_img = np.zeros((1000,1000), dtype=np.uint8)
rr, cc = circle(100,100,50)
test_img[rr,cc] = 1
bx, by = gzapi.get_region_bounds(test_img)
bx, by = bx[0], by[0]
minc, maxc = bx
minr, maxr = by
self.assertEqual(maxc - minc + 1, 100)
self.assertEqual(maxr - minr + 1, 100)
center = gzapi.get_bbox_center((minr, minc, maxr, maxc))
self.assertTupleEqual(center, (100,100))
def _labeled_image_data_default(self):
im = self.image_data.arrays.get('im')[:, :, 0]
bw = get_cleared_binary_image(im)
bx, by = get_region_bounds(bw)
apd = ArrayPlotData(im=bw)
for i in range(len(bx)):
minc, maxc = bx[i]
minr, maxr = by[i]
key = "bb" + str(i)
apd.update({key + 'topx': (minc, maxc),
key + 'topy': (maxr, maxr),
key + 'botx': (minc, maxc),
key + 'boty': (minr, minr),
key + 'leftx': (minc, minc),
key + 'lefty': (minr, maxr),
key + 'rightx': (maxc, maxc),
key + 'righty': (minr, maxr)})
return apd
