1. #!/usr/bin/env python
2. # -*- coding: utf-8 -*-
3. import matplotlib.pyplot as plt
4. from matplotlib import rc
5. import numpy as np
6. from skimage import img_as_float, color
7. from datetime import datetime
8. from skimage import filters, io, morphology, feature, data
9. from scipy import ndimage
10. from skimage import measure
11.  
12. airplaneFile = "F:\\Studia\\PUT\\V\\Komunikacja człowiek-komputer\\Zadanie 4- Samoloty\\Samolot\\samolot"
13. savePath = "C:\\Users\\Szczepan\\Desktop\\" + 'Samolociki' + datetime.now().strftime('%Y%m%d%H%M%S') +'.pdf'
14. fileExtension = ".jpg"
15. numOfImages = 20
16.  
17.  
18. def loadFiles(numOfImage):
19.     img = [[]] * numOfImage
20.     for i in range(0, numOfImage):
21.         if i < 10:
22.             img[i] = io.imread(airplaneFile + "0" + str(i) + fileExtension, as_grey=False)
23.         else:
24.             img[i] = io.imread(airplaneFile + str(i) + fileExtension, as_grey=False)
25.     return img
26.  
27. def plot(numOfImage):
28.     size = 400
29.     fig, axes = plt.subplots(nrows= numOfImage,  sharex=True, sharey=True, figsize=(1.61* size, size))
30.     fig.subplots_adjust(top=1.00, bottom=0.05, left=0.25, right=0.95)
31.     rc('legend', fontsize=10)
32.     return fig, axes
33.  
34. def main():
35.     grayscale_image = img_as_float(data.camera()[::2, ::2])
36.     img = color.gray2rgb(grayscale_image) #Wczytuję pliki
37.     fig, axes = plot(numOfImages)
38.     for i in range (0, numOfImages):
39.  
40.         im = axes[i].imshow(img)
41.         im.set_extent([0, 1, 0, 1])
42.  
43.         axes[i].yaxis.set_visible(False)
44.  
45.         pos = list(axes[i].get_position().bounds)
46.         x_text = pos[0] - 0.25
47.         y_text = pos[1] + pos[3]/2.
48.         fig.text(x_text, y_text, i, va='center', ha='left', fontsize=10)
49.  
50.  
51.     fig.savefig(savePath)
52.  
53.  
54. if _name_ == '_main_':
55.     main()