"""Demonstrate variance maps."""
import os.path
import matplotlib.pyplot as plt
import supreme
import supreme.io
from supreme.config import data_path
from supreme.ext import variance_map
fn = 'toystory/toystory001.png'
x = supreme.io.imread(os.path.join(data_path, fn), flatten=True)
plt.subplot(121)
plt.imshow(x, cmap=plt.cm.gray)
plt.xlabel('Input image')
plt.subplot(122)
vm = variance_map(x, shape=(20, 20))
vm /= vm.max()
plt.imshow(vm)
plt.xlabel('Variance map')
plt.show()
def test_variance_map(self):
x = np.arange(12).reshape((3, 4))
vm = ext.variance_map(x)
assert_almost_equal(vm[1, 1], np.var(x[:3,:3]))
assert_almost_equal(vm[1, 2], np.var(x[:3,1:4]))
def test_empty(self):
ext.variance_map(np.empty((1, 1, 1)))
def test_variance_map(self):
x = np.arange(12).reshape((3, 4))
vm = ext.variance_map(x)
assert_almost_equal(vm[1, 1], np.var(x[:3, :3]))
assert_almost_equal(vm[1, 2], np.var(x[:3, 1:4]))
def test_empty(self):
ext.variance_map(np.empty((1, 1, 1)))
"""Demonstrate variance maps."""
import os.path
import matplotlib.pyplot as plt
import supreme
import supreme.io
from supreme.config import data_path
from supreme.ext import variance_map
fn = 'toystory/toystory001.png'
x = supreme.io.imread(os.path.join(data_path,fn),flatten=True)
plt.subplot(121)
plt.imshow(x,cmap=plt.cm.gray)
plt.xlabel('Input image')
plt.subplot(122)
vm = variance_map(x,shape=(20,20))
vm /= vm.max()
plt.imshow(vm)
plt.xlabel('Variance map')
plt.show()
