1SPECTROGRAPHIC(1)               spectrographic               SPECTROGRAPHIC(1)
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NAME

6       spectrographic - spectrographic unknown
7
8       This is the documentation of spectrographic.
9
10       NOTE:
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26

CONTENTS

28   License
29       The MIT License (MIT)
30
31       Copyright (c) 2019 Levi Borodenko
32
33       Permission is hereby granted, free of charge, to any person obtaining a
34       copy of this software and associated documentation  files  (the  "Soft‐
35       ware"),  to deal in the Software without restriction, including without
36       limitation the rights to use, copy, modify, merge, publish, distribute,
37       sublicense,  and/or  sell copies of the Software, and to permit persons
38       to whom the Software is furnished to do so, subject  to  the  following
39       conditions:
40
41       The above copyright notice and this permission notice shall be included
42       in all copies or substantial portions of the Software.
43
44       THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
45       OR  IMPLIED,  INCLUDING  BUT  NOT  LIMITED  TO  THE  WARRANTIES OF MER‐
46       CHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.  IN
47       NO  EVENT  SHALL  THE  AUTHORS  OR  COPYRIGHT HOLDERS BE LIABLE FOR ANY
48       CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN  ACTION  OF  CONTRACT,
49       TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFT‐
50       WARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
51
52   Contributors
53       • Levi Borodenko <Levi.borodenko@gmail.com>
54
55   Changelog
56   Version 0.8.0
57       •
58
59         The core implementation is done
60
61                • base.py contains a working implementation
62
63                of the spetrographic idea.
64
65       • Created some examples.
66
67       • Adding requirements
68
69   Version 0.8.1
70       • Wrote README.md
71
72       • test upload to testpypi
73
74       • create demonstrational video
75
76   Version 0.8.5
77       • quick fix of centering in README.md
78
79   Version 0.8.6
80       • added gitpython as dependency
81
82   Version 0.8.7
83       • removed dependencies from config file and moved to requirements
84
85   Version 0.9.0
86       • Release
87
88       • upload to the official pypi and making github repo public.
89
90   Version 0.9.3
91       • Put dependencies into setup.cfg so pip can pull them while installing
92
93   spectrographic
94   spectrographic package
95   Submodules
96   spectrographic.base module
97       class spectrographic.base.ColumnToSound(duration: int, sample_rate: int
98       =  44100,  min_freq:  int = 10000, max_freq: int = 17000, y_resolution:
99       int = 1000, num_tones: int = 3, contrast: float = 5)
100              Bases: object
101
102              Class to turn grey-scale image columns into a sound.
103
104              It takes a numpy array of grey intensities (in the range 0 to 1)
105              of  length  Y_RESOLUTION  and turns them into a DURATION seconds
106              long sound in the frequency range between MIN_FREQ and MAX_FREQ.
107
108              Parameters
109                     seconds (duration {int} -- Duration of sound in) --
110
111              Keyword Arguments
112
113                     • (default (y_resolution {int} --  Number  of  pixels  to
114                       plot) -- {44100})
115
116                     • spectrograph  (max_freq  {int}  -- Maximal frequency in
117                       the) --
118
119                     • (default -- {10000})
120
121                     • spectrograph --
122
123                     • (default -- {17000})
124
125                     • (default -- {1000})
126
127                     • pixel (num_tones {int} -- Number of  tones  to  use  to
128                       fill out each) --
129
130                     • (default -- {3})
131
132                     • pixels  (contrast  {float} -- Contrast between loud and
133                       quiet) --
134
135                     • (default -- {5})
136
137              gen_soundwall(column: numpy.ndarray)
138                     Takes a column of pixels and generates the sound wall.
139
140                     [description]
141
142                     Parameters
143
144                            • of (column  {np.ndarray}  --  Y_RESOLUTION  long
145                              column) --
146
147                            • pixels (values between 0 and 1) --
148
149                     Returns
150                            np.ndarray -- soundwall
151
152              pixel_to_sound(y: int, intensity: float = 1)
153                     Takes  a  pixel  in  a imagae column at the y'th position
154                     from the top and turns it into a sound at a corresponding
155                     position in the spectrum.
156
157                     [description]
158
159                     Parameters
160                            top.  (y {int} -- position of pixel in column from
161                            the) --
162
163                     Keyword Arguments
164                            (default (intensity {float} --  [description])  --
165                            {1})
166
167                     Returns
168                            np.ndarray -- sound array
169
170                     Raises ValueError --
171
172       class  spectrographic.base.SpectroGraphic(path:  pathlib.Path,  height:
173       int = 100, duration: int = 20, min_freq: int = 1000,  max_freq:  int  =
174       8000,  sample_rate:  int = 44100, num_tones: int = 3, contrast: float =
175       5, use_black_and_white: bool = False)
176              Bases: object
177
178              Takes an image file and creates a sound that draws that image on
179              a spectrogram.
180
181              [description]   :param  path  {Path}  --  Path  to  file  (e.g.:
182              {"./data/python.png"})
183
184              Keyword Arguments
185
186                     • (default (sample_rate {int} -- Sample rate) -- {100})
187
188                     • (default -- {20})
189
190                     • (default -- {1000})
191
192                     • (default -- {8000})
193
194                     • (default -- {44100})
195
196                     • pixel (num_tones {int} -- Number of tones  to  used  to
197                       fill in each) --
198
199                     • (default -- {3})
200
201                     • pixels  (contrast  {float} -- Contrast between loud and
202                       quiet) --
203
204                     • (default -- {5})
205
206              play() Plays the SpectroGraphic sound.
207
208              save(wav_file: pathlib.Path = 'SpectroGraphic.wav')
209                     saves the spectrographic to a .wav file
210
211                     We use the wavio module
212
213              property sound_array
214
215   spectrographic.cli module
216       This is a skeleton file that can serve as a starting point for a Python
217       console script. To run this script uncomment the following lines in the
218       [options.entry_points] section in setup.cfg:
219
220          console_scripts =
221                 spectrographic = spectrographic.cli:run
222
223       Then run python setup.py install which will install the  command  spec‐
224       trographic inside your current environment.
225
226       spectrographic.cli.main(args)
227              Main entry point allowing external calls
228
229              Parameters
230                     args ([str]) -- command line parameter list
231
232       spectrographic.cli.parse_args(args)
233              Parse command line parameters
234
235              Parameters
236                     args  ([str])  --  command  line  parameters  as  list of
237                     strings
238
239              Returns
240                     command line parameters namespace
241
242              Return type
243                     argparse.Namespace
244
245       spectrographic.cli.run()
246              Entry point for console_scripts
247
248   Module contents

INDICES AND TABLES

250       • genindex
251
252       • modindex
253
254       • search
255

AUTHOR

257       unknown
258

260       2022, Levi Borodenko
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265unknown                          Jan 22, 2022                SPECTROGRAPHIC(1)
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