forked from punchagan/omnium-gatherum
-
Notifications
You must be signed in to change notification settings - Fork 0
/
img2ascii.py
254 lines (192 loc) · 7.81 KB
/
img2ascii.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
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
from PIL import Image, ImageDraw, ImageFont
from pylab import imread, imshow, sum, average, array, argsort, show, imsave
from pylab import zeros, linspace, savetxt, digitize, vectorize, absolute, cm
import os
from scipy import ndimage
fontpath = "/usr/share/fonts/truetype/freefont"
def txt2img(label, fontname="FreeMonoBold.ttf", fgcolor=0,
bgcolor=255, rotate_angle=0, n=1):
"""Render label as image."""
font = ImageFont.truetype(os.path.join(fontpath,fontname), 12)
imgOut = Image.new("L", (20,49), bgcolor)
# calculate space needed to render text
# square blocks of size nxn are rendered
draw = ImageDraw.Draw(imgOut)
sizex, sizey = draw.textsize(label*n, font=font)
imgOut = imgOut.resize((sizex,sizey*n))
# render label into image draw area
draw = ImageDraw.Draw(imgOut)
for i in range(n):
draw.text((0, sizey*i), label*n, fill=fgcolor, font=font)
if rotate_angle:
imgOut = imgOut.rotate(rotate_angle)
return imgOut
def arr2img(arr, fontname="FreeMonoBold.ttf", fgcolor=0,
bgcolor=255, rotate_angle=0):
"""Render label as image."""
font = ImageFont.truetype(os.path.join(fontpath,fontname), 12)
imgOut = Image.new("L", (20,49), bgcolor)
r, c = arr.shape
label = "".join(arr[1])
# calculate space needed to render text
# square blocks of size nxn are rendered
draw = ImageDraw.Draw(imgOut)
sizex, sizey = draw.textsize(label, font=font)
imgOut = imgOut.resize((sizex,sizey*len(arr)))
# render label into image draw area
draw = ImageDraw.Draw(imgOut)
for i, row in enumerate(arr):
draw.text((0, sizey*i), "".join(row), fill=fgcolor, font=font)
if rotate_angle:
imgOut = imgOut.rotate(rotate_angle)
return imgOut
def get_images(dirname="sample", num=10):
if not os.path.isdir(dirname):
if os.path.exists(dirname):
print "Cannot create directory %s" %dirname
raise SystemExit
os.mkdir(dirname, 0755)
for i in range(32, 127):
i_img = txt2img(chr(i), n=num)
i_img_name = os.path.join(".", dirname, str(i)+".png")
i_img.save(i_img_name, format="PNG")
print "saved %s" %i_img_name
def save_density_stats(dirname="sample"):
img_stats = []
chr_density_sort = []
tree = os.walk(dirname)
for subfol in tree:
img_path = subfol[0]
img_files = subfol[2]
for img in img_files:
img_char = img.split(".")[0]
img_sum = sum(imread(os.path.join(img_path,img)))
img_stats.append(img_sum)
chr_density_sort.append(int(img_char))
chr_density_sort = array(chr_density_sort)
chr_density_sort = list(chr_density_sort[argsort(img_stats)])
# print chr_density_sort, len(chr_density_sort)
print "Visual density sort obtained."
f = open('density_stats.txt', 'w')
f.writelines("".join(map(chr, chr_density_sort)))
f.close()
def get_density_stats():
return list(open('density_stats.txt').read())
def file2gray(filename):
""" Reads an image file, and returns a grayscale image array."""
a = imread(filename)
print "Converting ..."
# useful only when reading .jpg files.
# PIL is used for jpegs; converting PIL image to numpy array messes up.
# a = a[::-1, :]
# convert image to grayscale.
if len(a.shape) > 2:
a = 0.21 * a[:,:,0] + 0.71 * a[:,:,1] + 0.07 * a[:,:,2]
return a
def blockify_img(I, blk_siz=2):
"Pixelate the image?"
I_r, I_c = I.shape[:2]
I_max = float(I.max())
c_r, c_c = I_r/(2*blk_siz), I_c/blk_siz
c = zeros((c_r, c_c))
for i in range(2*blk_siz):
for j in range(blk_siz):
c += I[i::2*blk_siz, j::blk_siz][:c_r, :c_c]
c /= 2*blk_siz*blk_siz
return c
def map_img_chars(b, map_array):
""" Map values of array to corresponding chars, based on map_array.
Returns a string array. """
r, c = b.shape[:2]
bins = linspace(b.min(), b.max(), len(map_array), endpoint=False)
b = digitize(b.flatten(), bins)-1
b.shape = r, c
b = array(map_array)[b]
return b
def write_arr(arr, file, tag, size):
out_file = open(file + tag + str(size) + '.txt', 'w')
savetxt(out_file, arr, fmt="%s", delimiter="")
print "%s Converted! \nWritten to %s" %(file, out_file.name)
def img2ascii(filename, map_array=None, blk_siz=2):
""" Convert an image file to an ascii plain text file."""
a = file2gray(filename)
c = blockify_img(a, blk_siz)
if map_array == None:
# just linearly map gray level to characters.
# giving lowest gray level to space character.
f = vectorize(lambda b: chr(32+int((1-b)*94)))
c = f(c)
write_arr(c, filename, "-lin-", blk_siz)
else:
# map based on visual density of characters.
c = map_img_chars(c, map_array)
write_arr(c, filename, "-arr-", blk_siz)
def ascii_transition(file1, file2, map_array, blk_siz=2, n=50):
I = file2gray(file1)
J = file2gray(file2)
I = blockify_img(I, blk_siz)
J = blockify_img(J, blk_siz)
d = absolute(I - J)
steps = linspace(d.min(), d.max(), n+1)
print len(steps)
# print steps
for i, step in enumerate(steps):
K = I * (d>step) + J * (d<step)
# do something with K
k = map_img_chars(K, map_array)
# write_arr(k, "%s-%s" %(file1,file2), "-arr-%s-" %i, blk_siz)
im = arr2img(k)
im.thumbnail((280,390), Image.ANTIALIAS)
im_name = os.path.join(".", "output", "%s-%s-%02d.png" %(file1, file2, i))
im.save(im_name, format="PNG")
def img_transition(file1, file2, map_array, blk_siz=2, n=50):
I = file2gray(file1)
J = file2gray(file2)
d = absolute(I - J)
steps = linspace(d.min(), d.max(), n+1)
for i, step in enumerate(steps):
K = I * (d>step) + J * (d<step)
# do something with K
im_name = os.path.join(".", "output", "%s-%s-%02d.png" %(file1, file2, i))
imsave(im_name, K, cmap=cm.gray)
if __name__=="__main__":
# get_images()
# save_density_stats()
chr_order = get_density_stats()
chr_list = chr_order[::-10][::-1]
# print "".join(chr_list)
# chr_str = "W#H8wUOx&soIvi=+:| "
# chr_str = "#8wOxuIi*_ "
# chr_list = sorted(chr_str, key=chr_order.index)
img2ascii('carsten.png', chr_list, 2)
img2ascii('bastien.png', chr_list, 2)
img_transition('carsten.png', 'bastien.png', chr_list)
# References
# http://code.activestate.com/recipes/483756/
# def get_symmetry_stats(dirname="sample"):
# """Gets ordering of characters based on vertical & horizontal symmetry.
# NOTE: Make sure the images have just 1x1 array of each character. Else, the
# results are utterly meaningless.
# """
# img_stats = []
# tree = os.walk(dirname)
# for subfol in tree:
# img_path = subfol[0]
# img_files = subfol[2]
# for img_f in img_files:
# img_char = img_f.split(".")[0]
# img = imread(os.path.join(img_path,img_f))
# img_r, img_c = img.shape[:2]
# if img_r*img_c>200:
# print get_symmetry_stats.__doc__
# # vertical and horizontal symmetry score calculation
# v_sym_mat = img[:, :img_c/2] - img[:, :(img_c-1)/2:-1]
# v_sym_score = sum(abs(v_sym_mat))
# h_sym_mat = img[:img_r/2] - img[:(img_r-1)/2:-1]
# h_sym_score = sum(abs(h_sym_mat))
# # print chr(int(img_char)), v_sym_score, h_sym_score, v_sym_score*h_sym_score, v_sym_score + 5*h_sym_score
# chr_symmetry_sort = []
# # img_stats.append(str(int(img_sum*100)) + " " + img_char)
# # symmetry_density_sort = [int(each.split()[1]) for each in sorted(img_stats)]
# # print chr_density_sort, len(chr_density_sort)
# return chr_symmetry_sort