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waveform2svg.py
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
###################################################
#
# waveform2svg.py
#
# Make an SVG of a waveform, using roughly the same
# procedure as Audacity uses: chop up the samples into
# n buckets, plot only the maximum and minimum values.
#
###################################################
from __future__ import print_function, unicode_literals, division, absolute_import
from io import open
import logging, argparse, os
import numpy as np
import soundfile as sf
from math import ceil
import pystache
def ensure_dirs(path):
dirname = os.path.dirname(path)
if not dirname:
return
if not os.path.exists(dirname):
os.makedirs(dirname)
SVG_TEMPLATE = '''<svg height="{{height}}" width="{{width}}">
<polygon points="{{#points}}{{x}},{{y}} {{/points}}" />
</svg>
'''#!/usr/bin/env python3
# -*- coding: utf-8 -*-
###################################################
#
# waveform2svg.py
#
# Make an SVG of a waveform, using roughly the same
# procedure as Audacity uses: chop up the samples into
# n buckets, plot only the maximum and minimum values.
#
###################################################
from __future__ import print_function, unicode_literals, division, absolute_import
from io import open
import logging
import argparse
import os
import numpy as np
import soundfile as sf
from math import ceil
import pystache
def ensure_dirs(path):
dirname = os.path.dirname(path)
if not dirname:
return
if not os.path.exists(dirname):
os.makedirs(dirname)
SVG_TEMPLATE = '''<svg id='wave' preserveAspectRatio='none' viewBox="0 0 512 100" xmlns="http://www.w3.org/2000/svg" height="{{height}}" width="{{width}}">
<polygon points="{{#points}}{{x}},{{y}} {{/points}}"></polygon>
</svg>
'''
def read_wav(input_path, num_buckets):
data, samplerate = sf.read(input_path, always_2d=True)
data = data.max(axis=1) # max along each channel
data /= np.abs(data).max(axis=0) # normalize
num_samples = data.shape[0]
samples_per_bucket = int(ceil(num_samples / num_buckets))
max_amps, min_amps = [], []
for i in range(0, num_samples, samples_per_bucket):
max_amps.append(data[i:i+256].max())
min_amps.append(data[i:i+256].min())
return max_amps, min_amps
def make_svg(input_path, num_buckets, include_negative=True, height=100, width=512):
max_amps, min_amps = read_wav(input_path, num_buckets)
data = {"height": height, "width": width, "points": []}
data["points"].append({"x": 0.0, "y": height / 2})
for i, max_amp in enumerate(max_amps):
y = (1.0 - max_amp) * (height / 2)
y = "%.2f" % y
x = i / num_buckets * width + 0.5
data["points"].append({"x": x, "y": y})
data["points"].append({"x": float(width), "y": height / 2})
if include_negative:
min_amps.reverse()
for i, min_amp in enumerate(min_amps):
y = (1.0 - min_amp) * (height / 2)
y = "%.2f" % y
x = width - (i / num_buckets * width + 0.5)
data["points"].append({"x": x, "y": y})
return pystache.render(SVG_TEMPLATE, data)
def go(input_path, output_path, num_buckets=512, include_neg=True):
svg = make_svg(input_path, num_buckets, include_neg)
ensure_dirs(input_path)
with open(output_path, "w", encoding="utf-8") as fout:
fout.write(svg)
if __name__ == '__main__':
parser = argparse.ArgumentParser(
description='Convert a WAV file to a SVG file of its waveform')
parser.add_argument('input', type=str, help='Input WAV file')
parser.add_argument('output', type=str, help='Output SVG file')
parser.add_argument('--nbuckets', type=int, default=512,
help='Number of sample buckets (default: 256)')
parser.add_argument('--include_neg', type=bool, default=True,
help='Include negative values? (default: True')
args = parser.parse_args()
go(args.input, args.output, args.nbuckets, args.include_neg)
def read_wav(input_path, num_buckets):
data, samplerate = sf.read(input_path, always_2d=True)
data = data.max(axis=1) # max along each channel
data /= np.abs(data).max(axis=0) # normalize
num_samples = data.shape[0]
samples_per_bucket = int(ceil(num_samples / num_buckets))
max_amps, min_amps = [], []
for i in range(0, num_samples, samples_per_bucket):
max_amps.append(data[i:i+256].max())
min_amps.append(data[i:i+256].min())
return max_amps, min_amps
def make_svg(input_path, num_buckets, include_negative=True, height=100, width=512):
max_amps, min_amps = read_wav(input_path, num_buckets)
data = { "height": height, "width": width, "points": [] }
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
###################################################
#
# waveform2svg.py
#
# Make an SVG of a waveform, using roughly the same
# procedure as Audacity uses: chop up the samples into
# n buckets, plot only the maximum and minimum values.
#
###################################################
from __future__ import print_function, unicode_literals, division, absolute_import
from io import open
import logging
import argparse
import os
import numpy as np
import soundfile as sf
from math import ceil
import pystache
def ensure_dirs(path):
dirname = os.path.dirname(path)
if not dirname:
return
if not os.path.exists(dirname):
os.makedirs(dirname)
SVG_TEMPLATE = '''<svg id='wave' preserveAspectRatio='none' viewBox="0 0 512 100" xmlns="http://www.w3.org/2000/svg" height="{{height}}" width="{{width}}">
<polygon points="{{#points}}{{x}},{{y}} {{/points}}"></polygon>
</svg>
'''
def read_wav(input_path, num_buckets):
data, samplerate = sf.read(input_path, always_2d=True)
data = data.max(axis=1) # max along each channel
data /= np.abs(data).max(axis=0) # normalize
num_samples = data.shape[0]
samples_per_bucket = int(ceil(num_samples / num_buckets))
max_amps, min_amps = [], []
for i in range(0, num_samples, samples_per_bucket):
max_amps.append(data[i:i+256].max())
min_amps.append(data[i:i+256].min())
return max_amps, min_amps
def make_svg(input_path, num_buckets, include_negative=True, height=100, width=512):
max_amps, min_amps = read_wav(input_path, num_buckets)
data = {"height": height, "width": width, "points": []}
data["points"].append({"x": 0.0, "y": height / 2})
for i, max_amp in enumerate(max_amps):
y = (1.0 - max_amp) * (height / 2)
y = "%.2f" % y
x = i / num_buckets * width + 0.5
data["points"].append({"x": x, "y": y})
data["points"].append({"x": float(width), "y": height / 2})
if include_negative:
min_amps.reverse()
for i, min_amp in enumerate(min_amps):
y = (1.0 - min_amp) * (height / 2)
y = "%.2f" % y
x = width - (i / num_buckets * width + 0.5)
data["points"].append({"x": x, "y": y})
return pystache.render(SVG_TEMPLATE, data)
def go(input_path, output_path, num_buckets=512, include_neg=True):
svg = make_svg(input_path, num_buckets, include_neg)
ensure_dirs(input_path)
with open(output_path, "w", encoding="utf-8") as fout:
fout.write(svg)
if __name__ == '__main__':
parser = argparse.ArgumentParser(
description='Convert a WAV file to a SVG file of its waveform')
parser.add_argument('input', type=str, help='Input WAV file')
parser.add_argument('output', type=str, help='Output SVG file')
parser.add_argument('--nbuckets', type=int, default=512,
help='Number of sample buckets (default: 256)')
parser.add_argument('--include_neg', type=bool, default=True,
help='Include negative values? (default: True')
args = parser.parse_args()
go(args.input, args.output, args.nbuckets, args.include_neg)
for i, max_amp in enumerate(max_amps):
y = (1.0 - max_amp) * (height / 2)
y = "%.2f" % y
x = i / num_buckets * width + 0.5
data["points"].append({"x":x, "y":y})
data["points"].append({"x":float(width), "y": height / 2})
if include_negative:
min_amps.reverse()
for i, min_amp in enumerate(min_amps):
y = (1.0 - min_amp) * (height / 2)
y = "%.2f" % y
x = width - (i / num_buckets * width + 0.5)
data["points"].append({"x":x, "y":y})
return pystache.render(SVG_TEMPLATE, data)
def go(input_path, output_path, num_buckets=512, include_neg=True):
svg = make_svg(input_path, num_buckets, include_neg)
ensure_dirs(input_path)
with open(output_path, "w", encoding="utf-8") as fout:
fout.write(svg)
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Convert a WAV file to a SVG file of its waveform')
parser.add_argument('input', type=str, help='Input WAV file')
parser.add_argument('output', type=str, help='Output SVG file')
parser.add_argument('--nbuckets', type=int, default=512, help='Number of sample buckets (default: 256)')
parser.add_argument('--include_neg', type=bool, default=True, help='Include negative values? (default: True')
args = parser.parse_args()
go(args.input, args.output, args.nbuckets, args.include_neg)