Template Match -- fixed

templateMatch.py

import numpy as np
import matplotlib.pyplot as plt

from skimage import data
from skimage.feature import match_template
from skimage.io import imread
import scipy.misc
import scipy
from scipy import misc

f1 = 'a.jpg'
image1 = misc.imread(f1, flatten=True)

f2 = 'b.jpg'
image2 = misc.imread(f2, flatten=True)

result = match_template(image1, image2)

ij = np.unravel_index(np.argmax(result), result.shape)
x, y = ij[::-1]

fig = plt.figure(figsize=(8, 3))
ax1 = plt.subplot(1, 3, 1)
ax2 = plt.subplot(1, 3, 2, adjustable='box-forced')
ax3 = plt.subplot(1, 3, 3, sharex=ax2, sharey=ax2, adjustable='box-forced')

ax1.imshow(image2)
ax1.set_axis_off()
ax1.set_title('template')

ax2.imshow(image1)
ax2.set_axis_off()
ax2.set_title('image')
# highlight matched region
hcoin, wcoin = image2.shape
rect = plt.Rectangle((x, y), wcoin, hcoin, edgecolor='r', facecolor='none')
ax2.add_patch(rect)

ax3.imshow(result)
ax3.set_axis_off()
ax3.set_title('`match_template`\nresult')
# highlight matched region
ax3.autoscale(False)
ax3.plot(x, y, 'o', markeredgecolor='r', markerfacecolor='none', markersize=10)

plt.show()