def test_optimize():
lena = scipy.misc.lena()
blurred1 = scipy.ndimage.gaussian_filter(lena, 3.0)
blurred2 = scipy.ndimage.gaussian_filter(blurred1, 1.5)
fp = af.FocusPoint(0, 0, 10, 10)
stack = np.dstack((blurred2, np.dstack((blurred1, lena))))
assert af.optimize(stack, fp, af.cost_sobel) == 2
def _on_region_update(self, widget, x, y, width, height):
fp = af.FocusPoint(x, y, width, height)
J_sobel = af.optimize(self.stack, fp, af.cost_sobel)
J_abs_grad = af.optimize(self.stack, fp, af.cost_abs_gradient)
J_sq_grad = af.optimize(self.stack, fp, af.cost_squared_gradient)
self.ax.clear()
self.ax.plot(J_sobel / np.max(J_sobel), '.-', color='#348ABD', label='Sobel')
self.ax.plot(J_abs_grad / np.max(J_abs_grad), '.-', color='#7A68A6', label='Absolute Gradient')
self.ax.plot(J_sq_grad / np.max(J_sq_grad), '.-', color='#467821', label='Squared Gradient')
self.ax.legend(loc=3)
self.figure.canvas.draw()
opt = np.argmax(J_sobel)
self.canvas.update_image(self.stack[:,:,opt])