-
Notifications
You must be signed in to change notification settings - Fork 1
/
Copy pathsegment-images.py
58 lines (41 loc) · 1.38 KB
/
segment-images.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
import numpy as np
import cv2
from matplotlib import pyplot as plt
import scipy.misc
import os
img = cv2.imread('digits.png')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
cells = [np.hsplit(row, 100) for row in np.vsplit(gray, 50)]
rows = len(cells)
cols = len(cells[0])
k = 0
image_num = 0
initial_dir = 'training-images'
# creating initial directories
if not os.path.exists('training-images'):
os.makedirs('training-images')
print('created directory training-images')
os.makedirs('test-images')
print('created directory test-images')
else:
print('Folders already exist')
initial_dir = 'test-images'
inside_dir = 0
image_num = 0
# creating inside directories and saving images as JPEG
for i in range(0, rows):
for j in range(0, cols):
if(image_num % 250 == 0):
if(initial_dir == 'training-images'):
initial_dir = 'test-images'
else:
initial_dir = 'training-images'
if not os.path.exists(initial_dir + '/' + str(k)):
os.makedirs(initial_dir + '/' + str(k))
print('created directory ' + initial_dir + '/' + str(k))
else:
print('Folder already exists')
scipy.misc.imsave(initial_dir + '/' + str(k) + '/' + str(image_num) + '.jpg', cells[i][j])
image_num += 1
if(image_num % 500 == 0):
k += 1