Pattern match

Task: Сделайте self фото на некотором расстоянии от камеры с поднятой рукой. Сделайте crop вашей руки - это ваш шаблон. Исходное изображение - это матрица в которой вы будете искать шаблон.



In [1]:

    
import numpy as np
import matplotlib.pyplot as plt

from skimage import data
from skimage.feature import match_template


image = data.coins()
coin = image[170:220, 75:130]

result = match_template(image, coin)
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(coin, cmap=plt.cm.gray)
ax1.set_axis_off()
ax1.set_title('template')

ax2.imshow(image, cmap=plt.cm.gray)
ax2.set_axis_off()
ax2.set_title('image')
# highlight matched region
hcoin, wcoin = coin.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()



In [38]:

    
import numpy as np
import matplotlib.pyplot as plt
from skimage.data import data_dir
from skimage import data
from skimage.feature import match_template
from skimage import color

import matplotlib.image as img
from scipy import ndimage as nimg
import numpy as np
from PIL import Image
from skimage import color
from skimage import io
import cv2
from matplotlib import pyplot as plt

from skimage import data
from skimage.morphology import disk
from skimage.filters.rank import median



# image = data.coins()
# image = data.imread(os.path.join(data_dir, "gaziz.jpg"), as_grey = True)
imgMan = img.imread('./abcd.jpg')
image = color.rgb2gray(imgMan)

coin = image[140:350, 900:1050]

# coin = image[170:220, 75:130]

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

fig = plt.figure(figsize=(8,5))
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(coin, cmap=plt.cm.gray)
ax1.set_axis_off()
ax1.set_title('template')

ax2.imshow(image, cmap=plt.cm.gray)
ax2.set_axis_off()
ax2.set_title('image')
# highlight matched region
hcoin, wcoin = coin.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()



In [ ]:



In [ ]:



In [ ]:



In [ ]: