-
Notifications
You must be signed in to change notification settings - Fork 37
/
Ascii-Image-Art.py
127 lines (112 loc) · 3.45 KB
/
Ascii-Image-Art.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
import sys, random, argparse
import numpy as np
import math
from PIL import Image
# 70 levels of gray
gscale1 = "$@B%8&WM#*oahkbdpqwmZO0QLCJUYXzcvunxrjft/\|()1{}[]?-_+~<>i!lI;:,\"^`'. "
# 10 levels of gray
gscale2 = '@%#*+=-:. '
def getAverageL(image):
"""
Given PIL Image, return average value of grayscale value
"""
# get image as numpy array
im = np.array(image)
# get shape
w,h = im.shape
# get average
return np.average(im.reshape(w*h))
def covertImageToAscii(fileName, cols, scale, moreLevels):
"""
Given Image and dims (rows, cols) returns an m*n list of Images
"""
# declare globals
global gscale1, gscale2
# open image and convert to grayscale
image = Image.open(fileName).convert('L')
# store dimensions
W, H = image.size[0], image.size[1]
print("input image dims: %d x %d" % (W, H))
# compute width of tile
w = W/cols
# compute tile height based on aspect ratio and scale
h = w/scale
# compute number of rows
rows = int(H/h)
print("cols: %d, rows: %d" % (cols, rows))
print("tile dims: %d x %d" % (w, h))
# check if image size is too small
if cols > W or rows > H:
print("Image too small for specified cols!")
exit(0)
# ascii image is a list of character strings
aimg = []
# generate list of dimensions
for j in range(rows):
y1 = int(j*h)
y2 = int((j+1)*h)
# correct last tile
if j == rows-1:
y2 = H
# append an empty string
aimg.append("")
for i in range(cols):
# crop image to tile
x1 = int(i*w)
x2 = int((i+1)*w)
# correct last tile
if i == cols-1:
x2 = W
# crop image to extract tile
img = image.crop((x1, y1, x2, y2))
# get average luminance
avg = int(getAverageL(img))
# look up ascii char
if moreLevels:
gsval = gscale1[int((avg*69)/255)]
else:
gsval = gscale2[int((avg*9)/255)]
# append ascii char to string
aimg[j] += gsval
# return txt image
return aimg
# main() function
def main():
# create parser
descStr = "This program converts an image into ASCII art."
parser = argparse.ArgumentParser(description=descStr)
# add expected arguments
parser.add_argument('--file', dest='imgFile', required=True)
parser.add_argument('--scale', dest='scale', required=False)
parser.add_argument('--out', dest='outFile', required=False)
parser.add_argument('--cols', dest='cols', required=False)
parser.add_argument('--morelevels',dest='moreLevels',action='store_true')
# parse args
args = parser.parse_args()
imgFile = args.imgFile
# set output file
outFile = 'out.txt'
if args.outFile:
outFile = args.outFile
# set scale default as 0.43 which suits a Courier font
scale = 0.43
if args.scale:
scale = float(args.scale)
# set cols
cols = 80
if args.cols:
cols = int(args.cols)
print('generating ASCII art...')
# convert image to ascii txt
aimg = covertImageToAscii(imgFile, cols, scale, args.moreLevels)
# open file
f = open(outFile, 'w')
# write to file
for row in aimg:
f.write(row + '\n')
# cleanup
f.close()
print("ASCII art written to %s" % outFile)
# call main
if __name__ == '__main__':
main()