Upload files to ''

simtsou.py

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