Merge branch 'master' of github.com:DTVD/rainbowstream
[rainbowstream.git] / rainbowstream / pure_image.py
1 from PIL import Image
2 from functools import partial
3 from .config import *
4
5 import sys
6 import os
7
8 """
9 This file is borrowed from following gist:
10 https://gist.github.com/MicahElliott/719710
11 It's too slow in compare with C program, so bot be used here
12 """
13
14 CLUT = [ # color look-up table
15 # 8-bit, RGB hex
16
17 # Primary 3-bit (8 colors). Unique representation!
18 ('00', '000000'),
19 ('01', '800000'),
20 ('02', '008000'),
21 ('03', '808000'),
22 ('04', '000080'),
23 ('05', '800080'),
24 ('06', '008080'),
25 ('07', 'c0c0c0'),
26
27 # Equivalent "bright" versions of original 8 colors.
28 ('08', '808080'),
29 ('09', 'ff0000'),
30 ('10', '00ff00'),
31 ('11', 'ffff00'),
32 ('12', '0000ff'),
33 ('13', 'ff00ff'),
34 ('14', '00ffff'),
35 ('15', 'ffffff'),
36
37 # Strictly ascending.
38 ('16', '000000'),
39 ('17', '00005f'),
40 ('18', '000087'),
41 ('19', '0000af'),
42 ('20', '0000d7'),
43 ('21', '0000ff'),
44 ('22', '005f00'),
45 ('23', '005f5f'),
46 ('24', '005f87'),
47 ('25', '005faf'),
48 ('26', '005fd7'),
49 ('27', '005fff'),
50 ('28', '008700'),
51 ('29', '00875f'),
52 ('30', '008787'),
53 ('31', '0087af'),
54 ('32', '0087d7'),
55 ('33', '0087ff'),
56 ('34', '00af00'),
57 ('35', '00af5f'),
58 ('36', '00af87'),
59 ('37', '00afaf'),
60 ('38', '00afd7'),
61 ('39', '00afff'),
62 ('40', '00d700'),
63 ('41', '00d75f'),
64 ('42', '00d787'),
65 ('43', '00d7af'),
66 ('44', '00d7d7'),
67 ('45', '00d7ff'),
68 ('46', '00ff00'),
69 ('47', '00ff5f'),
70 ('48', '00ff87'),
71 ('49', '00ffaf'),
72 ('50', '00ffd7'),
73 ('51', '00ffff'),
74 ('52', '5f0000'),
75 ('53', '5f005f'),
76 ('54', '5f0087'),
77 ('55', '5f00af'),
78 ('56', '5f00d7'),
79 ('57', '5f00ff'),
80 ('58', '5f5f00'),
81 ('59', '5f5f5f'),
82 ('60', '5f5f87'),
83 ('61', '5f5faf'),
84 ('62', '5f5fd7'),
85 ('63', '5f5fff'),
86 ('64', '5f8700'),
87 ('65', '5f875f'),
88 ('66', '5f8787'),
89 ('67', '5f87af'),
90 ('68', '5f87d7'),
91 ('69', '5f87ff'),
92 ('70', '5faf00'),
93 ('71', '5faf5f'),
94 ('72', '5faf87'),
95 ('73', '5fafaf'),
96 ('74', '5fafd7'),
97 ('75', '5fafff'),
98 ('76', '5fd700'),
99 ('77', '5fd75f'),
100 ('78', '5fd787'),
101 ('79', '5fd7af'),
102 ('80', '5fd7d7'),
103 ('81', '5fd7ff'),
104 ('82', '5fff00'),
105 ('83', '5fff5f'),
106 ('84', '5fff87'),
107 ('85', '5fffaf'),
108 ('86', '5fffd7'),
109 ('87', '5fffff'),
110 ('88', '870000'),
111 ('89', '87005f'),
112 ('90', '870087'),
113 ('91', '8700af'),
114 ('92', '8700d7'),
115 ('93', '8700ff'),
116 ('94', '875f00'),
117 ('95', '875f5f'),
118 ('96', '875f87'),
119 ('97', '875faf'),
120 ('98', '875fd7'),
121 ('99', '875fff'),
122 ('100', '878700'),
123 ('101', '87875f'),
124 ('102', '878787'),
125 ('103', '8787af'),
126 ('104', '8787d7'),
127 ('105', '8787ff'),
128 ('106', '87af00'),
129 ('107', '87af5f'),
130 ('108', '87af87'),
131 ('109', '87afaf'),
132 ('110', '87afd7'),
133 ('111', '87afff'),
134 ('112', '87d700'),
135 ('113', '87d75f'),
136 ('114', '87d787'),
137 ('115', '87d7af'),
138 ('116', '87d7d7'),
139 ('117', '87d7ff'),
140 ('118', '87ff00'),
141 ('119', '87ff5f'),
142 ('120', '87ff87'),
143 ('121', '87ffaf'),
144 ('122', '87ffd7'),
145 ('123', '87ffff'),
146 ('124', 'af0000'),
147 ('125', 'af005f'),
148 ('126', 'af0087'),
149 ('127', 'af00af'),
150 ('128', 'af00d7'),
151 ('129', 'af00ff'),
152 ('130', 'af5f00'),
153 ('131', 'af5f5f'),
154 ('132', 'af5f87'),
155 ('133', 'af5faf'),
156 ('134', 'af5fd7'),
157 ('135', 'af5fff'),
158 ('136', 'af8700'),
159 ('137', 'af875f'),
160 ('138', 'af8787'),
161 ('139', 'af87af'),
162 ('140', 'af87d7'),
163 ('141', 'af87ff'),
164 ('142', 'afaf00'),
165 ('143', 'afaf5f'),
166 ('144', 'afaf87'),
167 ('145', 'afafaf'),
168 ('146', 'afafd7'),
169 ('147', 'afafff'),
170 ('148', 'afd700'),
171 ('149', 'afd75f'),
172 ('150', 'afd787'),
173 ('151', 'afd7af'),
174 ('152', 'afd7d7'),
175 ('153', 'afd7ff'),
176 ('154', 'afff00'),
177 ('155', 'afff5f'),
178 ('156', 'afff87'),
179 ('157', 'afffaf'),
180 ('158', 'afffd7'),
181 ('159', 'afffff'),
182 ('160', 'd70000'),
183 ('161', 'd7005f'),
184 ('162', 'd70087'),
185 ('163', 'd700af'),
186 ('164', 'd700d7'),
187 ('165', 'd700ff'),
188 ('166', 'd75f00'),
189 ('167', 'd75f5f'),
190 ('168', 'd75f87'),
191 ('169', 'd75faf'),
192 ('170', 'd75fd7'),
193 ('171', 'd75fff'),
194 ('172', 'd78700'),
195 ('173', 'd7875f'),
196 ('174', 'd78787'),
197 ('175', 'd787af'),
198 ('176', 'd787d7'),
199 ('177', 'd787ff'),
200 ('178', 'd7af00'),
201 ('179', 'd7af5f'),
202 ('180', 'd7af87'),
203 ('181', 'd7afaf'),
204 ('182', 'd7afd7'),
205 ('183', 'd7afff'),
206 ('184', 'd7d700'),
207 ('185', 'd7d75f'),
208 ('186', 'd7d787'),
209 ('187', 'd7d7af'),
210 ('188', 'd7d7d7'),
211 ('189', 'd7d7ff'),
212 ('190', 'd7ff00'),
213 ('191', 'd7ff5f'),
214 ('192', 'd7ff87'),
215 ('193', 'd7ffaf'),
216 ('194', 'd7ffd7'),
217 ('195', 'd7ffff'),
218 ('196', 'ff0000'),
219 ('197', 'ff005f'),
220 ('198', 'ff0087'),
221 ('199', 'ff00af'),
222 ('200', 'ff00d7'),
223 ('201', 'ff00ff'),
224 ('202', 'ff5f00'),
225 ('203', 'ff5f5f'),
226 ('204', 'ff5f87'),
227 ('205', 'ff5faf'),
228 ('206', 'ff5fd7'),
229 ('207', 'ff5fff'),
230 ('208', 'ff8700'),
231 ('209', 'ff875f'),
232 ('210', 'ff8787'),
233 ('211', 'ff87af'),
234 ('212', 'ff87d7'),
235 ('213', 'ff87ff'),
236 ('214', 'ffaf00'),
237 ('215', 'ffaf5f'),
238 ('216', 'ffaf87'),
239 ('217', 'ffafaf'),
240 ('218', 'ffafd7'),
241 ('219', 'ffafff'),
242 ('220', 'ffd700'),
243 ('221', 'ffd75f'),
244 ('222', 'ffd787'),
245 ('223', 'ffd7af'),
246 ('224', 'ffd7d7'),
247 ('225', 'ffd7ff'),
248 ('226', 'ffff00'),
249 ('227', 'ffff5f'),
250 ('228', 'ffff87'),
251 ('229', 'ffffaf'),
252 ('230', 'ffffd7'),
253 ('231', 'ffffff'),
254
255 # Gray-scale range.
256 ('232', '080808'),
257 ('233', '121212'),
258 ('234', '1c1c1c'),
259 ('235', '262626'),
260 ('236', '303030'),
261 ('237', '3a3a3a'),
262 ('238', '444444'),
263 ('239', '4e4e4e'),
264 ('240', '585858'),
265 ('241', '626262'),
266 ('242', '6c6c6c'),
267 ('243', '767676'),
268 ('244', '808080'),
269 ('245', '8a8a8a'),
270 ('246', '949494'),
271 ('247', '9e9e9e'),
272 ('248', 'a8a8a8'),
273 ('249', 'b2b2b2'),
274 ('250', 'bcbcbc'),
275 ('251', 'c6c6c6'),
276 ('252', 'd0d0d0'),
277 ('253', 'dadada'),
278 ('254', 'e4e4e4'),
279 ('255', 'eeeeee'),
280 ]
281
282
283 def _create_dicts():
284 short2rgb_dict = dict(CLUT)
285 rgb2short_dict = {}
286 for k, v in short2rgb_dict.items():
287 rgb2short_dict[v] = k
288 return rgb2short_dict, short2rgb_dict
289
290 RGB2SHORT_DICT, SHORT2RGB_DICT = _create_dicts()
291
292
293 def short2rgb(short):
294 return SHORT2RGB_DICT[short]
295
296
297 def pixel_print(ansicolor):
298 sys.stdout.write('\033[48;5;%sm \033[0m' % (ansicolor))
299
300
301 def hex_to_rgb(value):
302 value = value.lstrip('#')
303 lv = len(value)
304 return tuple(int(value[i:i + lv / 3], 16) for i in range(0, lv, lv / 3))
305
306
307 def rgb_to_hex(rgb):
308 return '%02x%02x%02x' % rgb
309
310
311 def rgb2short(r, g, b):
312 dist = lambda s, d: (s[0] - d[0]) ** 2 + \
313 (s[1] - d[1]) ** 2 + (s[2] - d[2]) ** 2
314 ary = [hex_to_rgb(hex) for hex in RGB2SHORT_DICT]
315 m = min(ary, key=partial(dist, (r, g, b)))
316 return RGB2SHORT_DICT[rgb_to_hex(m)]
317
318
319 def image_to_display(path):
320 i = Image.open(path)
321 i = i.convert('RGBA')
322 w, h = i.size
323 i.load()
324 rows, columns = os.popen('stty size', 'r').read().split()
325 width = min(w, int(columns) - 2 * IMAGE_SHIFT)
326 height = int(float(h) * (float(width) / float(w)))
327 height //= 2
328 i = i.resize((width, height), Image.BICUBIC)
329 height = min(height, IMAGE_MAX_HEIGHT)
330
331 for y in xrange(height):
332 print ' ' * IMAGE_SHIFT,
333 for x in xrange(width):
334 p = i.getpixel((x, y))
335 r, g, b = p[:3]
336 pixel_print(rgb2short(r, g, b))
337 print ''
338
339 if __name__ == '__main__':
340 image_to_display(sys.argv[1])