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| 1 | +#!/usr/bin/env python3 |
| 2 | +"""Show a text-mode spectrogram using live microphone data.""" |
| 3 | +import argparse |
| 4 | +import logging |
| 5 | +import numpy as np |
| 6 | +import shutil |
| 7 | + |
| 8 | +usage_line = ' press <enter> to quit, +<enter> or -<enter> to change scaling ' |
| 9 | + |
| 10 | +try: |
| 11 | + columns, _ = shutil.get_terminal_size() |
| 12 | +except AttributeError: |
| 13 | + columns = 80 |
| 14 | + |
| 15 | +parser = argparse.ArgumentParser(description=__doc__) |
| 16 | +parser.add_argument('-l', '--list-devices', action='store_true', |
| 17 | + help='list audio devices and exit') |
| 18 | +parser.add_argument('-b', '--block-duration', type=float, |
| 19 | + metavar='DURATION', default=50, |
| 20 | + help='block size (default %(default)s milliseconds)') |
| 21 | +parser.add_argument('-c', '--columns', type=int, default=columns, |
| 22 | + help='width of spectrogram') |
| 23 | +parser.add_argument('-d', '--device', type=int, help='input device ID') |
| 24 | +parser.add_argument('-g', '--gain', type=float, default=10, |
| 25 | + help='initial gain factor (default %(default)s)') |
| 26 | +parser.add_argument('-r', '--range', type=float, nargs=2, |
| 27 | + metavar=('LOW', 'HIGH'), default=[100, 2000], |
| 28 | + help='frequency range (default %(default)s Hz)') |
| 29 | +args = parser.parse_args() |
| 30 | + |
| 31 | +low, high = args.range |
| 32 | +if high <= low: |
| 33 | + parser.error("HIGH must be greater than LOW") |
| 34 | + |
| 35 | +# Create a nice output gradient using ANSI escape sequences. |
| 36 | +# Stolen from https://gist.github.com/maurisvh/df919538bcef391bc89f |
| 37 | +colors = 30, 34, 35, 91, 93, 97 |
| 38 | +chars = ' :%#\t#%:' |
| 39 | +gradient = [] |
| 40 | +for bg, fg in zip(colors, colors[1:]): |
| 41 | + for char in chars: |
| 42 | + if char == '\t': |
| 43 | + bg, fg = fg, bg |
| 44 | + else: |
| 45 | + gradient.append('\x1b[{};{}m{}'.format(fg, bg + 10, char)) |
| 46 | + |
| 47 | +try: |
| 48 | + import sounddevice as sd |
| 49 | + |
| 50 | + if args.list_devices: |
| 51 | + sd.print_devices() |
| 52 | + parser.exit() |
| 53 | + |
| 54 | + if args.device is None: |
| 55 | + args.device = sd.default.device['input'] |
| 56 | + samplerate = sd.query_devices(args.device)['default_samplerate'] |
| 57 | + |
| 58 | + delta_f = (high - low) / (args.columns - 1) |
| 59 | + fftsize = np.ceil(samplerate / delta_f).astype(int) |
| 60 | + low_bin = np.floor(low / delta_f) |
| 61 | + |
| 62 | + statuses = sd.CallbackFlags() |
| 63 | + |
| 64 | + def callback(indata, frames, time, status): |
| 65 | + global statuses |
| 66 | + statuses |= status |
| 67 | + if any(indata): |
| 68 | + magnitude = np.abs(np.fft.rfft(indata[:, 0], n=fftsize)) |
| 69 | + magnitude *= args.gain / fftsize |
| 70 | + line = (gradient[int(np.clip(x, 0, 1) * (len(gradient) - 1))] |
| 71 | + for x in magnitude[low_bin:low_bin + args.columns]) |
| 72 | + print(*line, sep='', end='\x1b[0m\n', flush=True) |
| 73 | + else: |
| 74 | + print('no input', flush=True) |
| 75 | + |
| 76 | + with sd.InputStream(device=args.device, channels=1, callback=callback, |
| 77 | + blocksize=int(samplerate * args.block_duration / 1000), |
| 78 | + samplerate=samplerate): |
| 79 | + while True: |
| 80 | + response = input() |
| 81 | + if response in ('', 'q', 'Q'): |
| 82 | + break |
| 83 | + for ch in response: |
| 84 | + if ch == '+': |
| 85 | + args.gain *= 2 |
| 86 | + elif ch == '-': |
| 87 | + args.gain /= 2 |
| 88 | + else: |
| 89 | + print('\x1b[31;40m', usage_line.center(args.columns, '#'), |
| 90 | + '\x1b[0m', sep='') |
| 91 | + break |
| 92 | + if statuses: |
| 93 | + logging.warning(str(statuses)) |
| 94 | +except KeyboardInterrupt: |
| 95 | + parser.exit('Interrupted by user') |
| 96 | +except Exception as e: |
| 97 | + parser.exit(str(e)) |
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