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super_qtgraph.py
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super_qtgraph.py
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import sys
import os
import queue
import argparse
import logging
import numpy as np
import pyqtgraph as pg
from PyQt5 import QtWidgets, QtCore, QtGui
from pyqtgraph import PlotWidget, plot
import pafy, vlc
import sounddevice as sd
import librosa
import librosa.display
import librosa.feature
parser = argparse.ArgumentParser()
parser.add_argument('--width', dest='width', type=int, default=1200)
parser.add_argument('--height', dest='height', type=int, default=1200)
parser.add_argument('--dpi', dest='dpi', type=int, default=100)
parser.add_argument('--channels', dest='channels', type=list, default=[1,2])
parser.add_argument('--interval', dest='interval', type=int, default=1)
parser.add_argument('--duration', dest='duration', type=int, default=3)
parser.add_argument('--win_length', dest='win_length', type=int, default=256)
parser.add_argument('--hop_length', dest='hop_length', type=int, default=256)
parser.add_argument('--samplerate', dest='samplerate', type=int, default=22050)
parser.add_argument('--n_fft', dest='n_fft', type=int, default=512)
parser.add_argument('--resampling_rate', dest='resampling_rate', type=int, default=1)
parser.add_argument('--n_mels', dest='n_mels', type=int, default=128)
parser.add_argument(
'--input_device', dest='input_device', type=str,
default='Virtual Input (VB-Audio Virtual Cable), Windows DirectSound')
# parser.add_argument(
# '--input_device', dest='input_device', type=str,
# default='Microphone (B525 HD Webcam), Windows DirectSound')
parser.add_argument(
'--output_device', dest='output_device', type=str,
default='Speakers (High Definition Audio Device), Windows DirectSound')
# parser.add_argument(
# '--media_url', dest='media_url', type=str,
# default='https://youtu.be/rxL9zFWqYA4') # Boring documentary
parser.add_argument(
'--media_url', dest='media_url', type=str,
default='https://www.youtube.com/watch?v=zI7a0Sz5aRI')
args, _ = parser.parse_known_args()
logging.basicConfig(format="%(message)s", level=logging.INFO)
###############################################################################
## Threading
###############################################################################
class Worker(QtCore.QRunnable):
def __init__(self, function, *args, **kwargs):
super(self.__class__, self).__init__()
self.function = function
self.args = args
self.kwargs = kwargs
@QtCore.pyqtSlot()
def run(self):
self.function(*self.args, **self.kwargs)
###############################################################################
## Plots
###############################################################################
class SpectrogramWidget(pg.PlotWidget):
def __init__(self):
super(self.__class__, self).__init__()
self.setLabel('left', 'Frequency (Hz)')
self.setTitle('Spectrogram')
self.setYRange(0, librosa.note_to_hz('C6'))
self.setXRange(0, args.duration)
self.addLegend()
class WaveFormWidget(pg.PlotWidget):
def __init__(self):
super(self.__class__, self).__init__()
self.setLabel('bottom', 'Time', units='s')
self.setLabel('left', 'Amplitude')
self.setYRange(min=-1, max=1)
self.setTitle('Wave Form')
self.addLegend()
class MainWindow(QtWidgets.QMainWindow):
def __init__(self, *args, **kwargs):
super(self.__class__, self).__init__(*args, **kwargs)
args, _ = parser.parse_known_args()
if args.samplerate == None:
self.samplerate = \
int(sd.query_devices(args.input_device)['default_samplerate'])
else:
self.samplerate = int(args.samplerate)
print(f"INFO -- Sampling rate at {self.samplerate} Hz")
self.threadpool = QtCore.QThreadPool()
self.q = queue.Queue()
self.setFixedSize(args.width, args.height)
self.mainbox = QtWidgets.QWidget()
self.setCentralWidget(self.mainbox)
self.layout = QtWidgets.QGridLayout()
self.mainbox.setLayout(self.layout)
# Widgets
self.spec_plot = SpectrogramWidget()
self.wave_plot = WaveFormWidget()
for i, widget in enumerate([self.spec_plot, self.wave_plot]):
self.layout.addWidget(widget, i, 0)
# Initialize x and y
self.length = self.samplerate * args.duration
self.y = np.random.rand(self.length, len(args.channels))
self.x = np.linspace(0, args.duration, num=self.length)
self.zcr = librosa.feature.zero_crossing_rate(self.y.mean(axis=1))[0]
# Wave Plot
self.waveline_1 = self.wave_plot.plot(
x=self.x, y=self.y[:,0],
pen=pg.mkPen('g', width=0.5), name='channel_1')
self.waveline_2 = self.wave_plot.plot(
x=self.x, y=self.y[:,1],
pen=pg.mkPen('y', width=0.5), name='channel_2')
self.waveline_3 = self.wave_plot.plot(
x=np.linspace(0, args.duration, self.zcr.shape[0]),
y=self.zcr, pen=pg.mkPen('r', width=2),
name='zcr')
# Spectrogram
self.fmax = int(librosa.core.fft_frequencies(sr=self.samplerate, n_fft=args.n_fft)[-1])
D = librosa.stft(
y=self.y.mean(axis=1),
n_fft=args.n_fft,
center=False)
self.specdata = librosa.amplitude_to_db(np.abs(D), ref=np.max)
# M = librosa.feature.melspectrogram(
# y=self.y.mean(axis=1),
# sr=self.samplerate,
# n_fft=args.n_fft,
# n_mels=args.n_mels)
# self.specdata = librosa.power_to_db(S=M, ref=np.max)
self.F0 = librosa.yin(
y=self.y.mean(axis=1),
sr=self.samplerate,
frame_length=2048,
fmin=librosa.note_to_hz('C2'),
fmax=librosa.note_to_hz('C5'),
center=False)
self.spec_image = pg.ImageItem(item=self.specdata.T)
self.spec_plot.addItem(item=self.spec_image)
self.f0_line = self.spec_plot.plot(
x=np.linspace(0, args.duration, self.F0.shape[0]), y=self.F0,
pen=pg.mkPen('r', width=2), name='f0')
self.bar = pg.ColorBarItem(
values=(librosa.note_to_hz('C2'), librosa.note_to_hz('C5')), cmap=pg.colormap.get('CET-L9'))
self.bar.setImageItem(self.spec_image)
# Start audio stream and animations
self.start_stream()
if args.input_device == 'Virtual Input (VB-Audio Virtual Cable), Windows DirectSound':
self.play_media(media_url=args.media_url, type='stream', volume=100)
self.animate()
self.show()
def start_stream(self):
def getAudio():
def callback(indata, outdata, frames, time, status):
if status:
print(status)
self.q.put(indata[::args.resampling_rate])
outdata[:] = indata
s = sd.Stream(
device=[args.input_device, args.output_device],
samplerate=44100,
channels=max(args.channels),
callback=callback)
with s:
while True:
sd.sleep(-1)
worker = Worker(getAudio)
self.threadpool.start(worker)
# def getSpec(self, samples):
# def compute():
# M = librosa.feature.melspectrogram(
# y=samples.mean(axis=1),
# sr=self.samplerate,
# n_fft=args.n_fft,
# n_mels=args.n_mels)
# self.specdata = librosa.power_to_db(S=M, ref=np.max)
# worker = Worker(compute)
# self.threadpool.start(worker)
def getSpec(self, samples):
def compute():
D = librosa.stft(
y=samples.mean(axis=1),
center=False)
self.specdata = librosa.amplitude_to_db(np.abs(D), ref=np.max)
worker = Worker(compute)
self.threadpool.start(worker)
def getF0(self, samples):
def compute():
self.F0 = librosa.yin(
y=samples.mean(axis=1),
sr=self.samplerate,
frame_length=2048,
fmin=librosa.note_to_hz('C2'),
fmax=librosa.note_to_hz('C5'),
center=False)
worker = Worker(compute)
self.threadpool.start(worker)
def getZCR(self, samples):
def compute():
self.zcr = librosa.feature.zero_crossing_rate(
samples.mean(axis=1),
# frame_length=128,
# hop_length=32,
center=False,
threshold=1e-20)[0]
worker = Worker(compute)
self.threadpool.start(worker)
def shift_data(self, samples):
def compute():
shift = len(samples)
self.y = np.roll(self.y, -shift, axis=0)
self.y[-shift:, :] = samples
worker = Worker(compute)
self.threadpool.start(worker)
def update_plot(self):
while True:
try:
data = self.q.get_nowait()
except queue.Empty:
break
self.shift_data(samples=data)
self.getSpec(samples=self.y)
self.getF0(samples=self.y)
self.getZCR(samples=self.y)
self.waveline_1.setData(x=self.x, y=self.y[:,0])
self.waveline_2.setData(x=self.x, y=self.y[:,1])
self.waveline_3.setData(x=np.linspace(0, args.duration, self.zcr.shape[0]), y=self.zcr)
self.spec_image.setImage(self.specdata.T, rect=(0, 0, args.duration, self.fmax))
self.f0_line.setData(
x=np.linspace(0, args.duration, self.F0.shape[0]), y=self.F0)
def animate(self):
self.timer = QtCore.QTimer()
self.timer.setInterval(args.interval)
self.timer.timeout.connect(self.update_plot)
self.timer.start()
def play_media(self, media_url=args.media_url, type='stream', volume=100):
def play():
if type=="stream":
stream = pafy.new(media_url, gdata=False)
try:
best_url = stream.getbestaudio().url
except AttributeError:
best_url = stream.getbest().url
media = vlc.Media(best_url)
title = stream.title
elif type=="file":
media = vlc.Media(media_url)
title = media_url
player = vlc.MediaPlayer()
player.audio_set_volume(volume)
player.set_media(media)
try:
print(f"INFO -- Now playing: {title}")
player.play()
except:
print("INFO -- Unable to play video...")
sys.exit()
worker = Worker(play)
self.threadpool.start(worker)
###############################################################################
## Boilerplate
###############################################################################
if __name__ == '__main__':
app = QtWidgets.QApplication(sys.argv)
main = MainWindow()
sys.exit(app.exec_())