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123 lines
4.3 KiB
123 lines
4.3 KiB
#!/usr/bin/env python
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from PIL import Image, ImageOps
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import wave, math, array, argparse, sys, timeit
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def parser():
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parser = argparse.ArgumentParser()
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# Specified command options and its helps message
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parser.add_argument ("INPUT_FILE", help="Name of the image to be converted.")
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parser.add_argument ("-r", "--rotate", help="Rotate image 90 degrees for more sexy spectograph looks and sound", action='store_true')
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parser.add_argument ("-i", "--invert", help="Invert image colors.", action='store_true')
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parser.add_argument ("-o", "--output", help="Name of the output wav file. Default value: out.wav).")
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parser.add_argument ("-b", "--bottom", help="Bottom frequency range. Default value: 200.", type=int)
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parser.add_argument ("-t", "--top", help="Top frequency range. Default value: 20000.", type=int)
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parser.add_argument ("-p", "--pixels", help="Pixels per second. Default value: 30.", type=int)
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parser.add_argument ("-s", "--sampling", help="Sample rate. Default value: 44100.", type=int)
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# Create "arguments" object based on user input
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arguments = parser.parse_args()
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# Default values
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min_freq = 200
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max_freq = 20000
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sample_rate = 44100
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pixels = 30
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output = "out.wav"
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rotate = False
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invert = False
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# Check arguments values
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if arguments.output:
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output = arguments.output
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if arguments.bottom:
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min_freq = arguments.bottom
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if arguments.top:
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max_freq = arguments.top
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if arguments.pixels:
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pixels = arguments.pixels
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if arguments.sampling:
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sample_rate = arguments.sampling
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if arguments.rotate:
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rotate = True
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if arguments.invert:
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invert = True
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print ("------------------------------------ Simple Image To Sound Script ------------------------------------\n")
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print ('Input file: %s.' % arguments.INPUT_FILE)
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print ('Frequency range: %d - %d.' % (min_freq, max_freq))
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print ('Pixels per second: %d.' % pixels)
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print ('Sampling rate: %d.' % sample_rate)
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print ('Rotate Image: %s.' % ('Yes' if rotate else 'No'))
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return (arguments.INPUT_FILE, output, min_freq, max_freq, pixels, sample_rate, rotate, invert)
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def convert (INPUT_FILE, output, min_freq, max_freq, pixels, sample_rate, rotate, invert):
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image = Image.open (INPUT_FILE).convert ('L')
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# rotate image if requested
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if rotate:
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image = image.rotate (90)
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# invert image if requested
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if invert:
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image = ImageOps.invert (image)
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output = wave.open (output, 'w')
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output.setparams ((1, 2, sample_rate, 0, 'NONE', 'not compressed'))
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freq_range = max_freq - min_freq
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interval = freq_range / image.size[1]
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samples = sample_rate // pixels
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data = array.array ('h')
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# Converting process start
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time_start = timeit.default_timer()
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for x in range (image.size[0]):
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row = []
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for y in range (image.size[1]):
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yinv = image.size[1] - y - 1
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amplitude = image.getpixel ((x,y))
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if (amplitude > 0):
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row.append (gen_wave (yinv * interval + min_freq, amplitude, samples, sample_rate))
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for i in range(samples):
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for j in row:
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try:
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data[i + x * samples] += j[i]
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except (IndexError):
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data.insert (i + x * samples, j[i])
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except (OverflowError):
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if j[i] > 0:
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data[i + x * samples] = 32767
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else:
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data[i + x * samples] = -32768
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sys.stdout.write ("Conversion progress: %d%% \r" % (float(x) / image.size[0] * 100))
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sys.stdout.flush()
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output.writeframes (data.tobytes())
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output.close()
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# Converting process end
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time_end = timeit.default_timer()
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print ("Conversion progress: 100%")
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print ("Success. Completed in %d seconds." % int(time_end - time_start))
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def gen_wave (frequency, amplitude, samples, sample_rate):
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cycles = samples * frequency / sample_rate
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wave = []
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for i in range(samples):
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x = math.sin (float (cycles) * 2 * math.pi * i / float (samples)) * float (amplitude)
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wave.append (int (math.floor (x)))
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return wave
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if __name__ == '__main__':
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input_choice = parser()
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convert (*input_choice)
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