我们从Python开源项目中，提取了以下1个代码示例，用于说明如何使用scipy.misc.lena()。
def test_graphcut(): import matplotlib.pyplot as plt from scipy.misc import lena im = lena() # Any bigger and my weak laptop gets memory errors bounds = (50, 50) im = imresize(im, bounds, interp="bicubic") all_matches, all_splits = graphcut(im, split_type="mean") to_plot = all_splits[-1] f, axarr = plt.subplots(2, len(to_plot) // 2) for n in range(len(to_plot)): axarr.ravel()[n].imshow(to_plot[n], cmap="gray") axarr.ravel()[n].set_xticks([]) axarr.ravel()[n].set_yticks([]) plt.show()
