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- #!/usr/bin/python
- import numpy as np
- import matplotlib.image as mpimg
- import wave
- from array import array
- from progressbar import ProgressBar
-
- def write_column(output_file, pixels, rescale=.1):
- """ Write a single column of sound """
- curve = np.fft.ifft(pixels, len(pixels)*2).real
- curve = np.array((curve-np.average(curve))*rescale, dtype=int)
- data = array("h", curve).tostring()
- output_file.writeframes(data)
-
-
- def make_wav(image_filename):
- """ Make a WAV file having a spectrogram resembling an image """
- image = mpimg.imread(image_filename)
- image = np.sum(image, axis = 2).T[:, ::-1]
- image = image**2
-
- output_file = wave.open(image_filename+'.wav', 'w')
- output_file.setparams((1, 2, 44100, 0, 'NONE', 'not compressed'))
-
- pb = ProgressBar().start()
- n = float(len(image))
- for index, column in enumerate(image):
- write_column(output_file, column)
- pb.update(index*100/n)
-
- output_file.close()
- print "Wrote %s.wav" % image_filename
-
-
- if __name__ == '__main__':
- import sys
- make_wav(sys.argv[1])
-
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