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spectrogram.py
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executable file
·102 lines (89 loc) · 3.58 KB
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#!/usr/bin/env python3
"""Show a text-mode spectrogram using live microphone data."""
import argparse
import math
import numpy as np
import shutil
usage_line = ' press <enter> to quit, +<enter> or -<enter> to change scaling '
def int_or_str(text):
"""Helper function for argument parsing."""
try:
return int(text)
except ValueError:
return text
try:
columns, _ = shutil.get_terminal_size()
except AttributeError:
columns = 80
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument('-l', '--list-devices', action='store_true',
help='list audio devices and exit')
parser.add_argument('-b', '--block-duration', type=float,
metavar='DURATION', default=50,
help='block size (default %(default)s milliseconds)')
parser.add_argument('-c', '--columns', type=int, default=columns,
help='width of spectrogram')
parser.add_argument('-d', '--device', type=int_or_str,
help='input device (numeric ID or substring)')
parser.add_argument('-g', '--gain', type=float, default=10,
help='initial gain factor (default %(default)s)')
parser.add_argument('-r', '--range', type=float, nargs=2,
metavar=('LOW', 'HIGH'), default=[100, 2000],
help='frequency range (default %(default)s Hz)')
args = parser.parse_args()
low, high = args.range
if high <= low:
parser.error('HIGH must be greater than LOW')
# Create a nice output gradient using ANSI escape sequences.
# Stolen from https://gist.github.com/maurisvh/df919538bcef391bc89f
colors = 30, 34, 35, 91, 93, 97
chars = ' :%#\t#%:'
gradient = []
for bg, fg in zip(colors, colors[1:]):
for char in chars:
if char == '\t':
bg, fg = fg, bg
else:
gradient.append('\x1b[{};{}m{}'.format(fg, bg + 10, char))
try:
import sounddevice as sd
if args.list_devices:
print(sd.query_devices())
parser.exit(0)
samplerate = sd.query_devices(args.device, 'input')['default_samplerate']
delta_f = (high - low) / (args.columns - 1)
fftsize = math.ceil(samplerate / delta_f)
low_bin = math.floor(low / delta_f)
def callback(indata, frames, time, status):
if status:
text = ' ' + str(status) + ' '
print('\x1b[34;40m', text.center(args.columns, '#'),
'\x1b[0m', sep='', flush=True)
if any(indata):
magnitude = np.abs(np.fft.rfft(indata[:, 0], n=fftsize))
magnitude *= args.gain / fftsize
line = (gradient[int(np.clip(x, 0, 1) * (len(gradient) - 1))]
for x in magnitude[low_bin:low_bin + args.columns])
print(*line, sep='', end='\x1b[0m\n', flush=True)
else:
print('no input', flush=True)
with sd.InputStream(device=args.device, channels=1, callback=callback,
blocksize=int(samplerate * args.block_duration / 1000),
samplerate=samplerate):
while True:
response = input()
if response in ('', 'q', 'Q'):
break
for ch in response:
if ch == '+':
args.gain *= 2
elif ch == '-':
args.gain /= 2
else:
print('\x1b[31;40m', usage_line.center(args.columns, '#'),
'\x1b[0m', sep='', flush=True)
break
except KeyboardInterrupt:
parser.exit('Interrupted by user')
except Exception as e:
parser.exit(type(e).__name__ + ': ' + str(e))