led_plot.addItem(g_curve)
led_plot.addItem(b_curve)
# Frequency range label
freq_label = pg.LabelItem('')
# Frequency slider
def freq_slider_change(tick):
minf = freq_slider.tickValue(0)**2.0 * (config.MIC_RATE / 2.0)
maxf = freq_slider.tickValue(1)**2.0 * (config.MIC_RATE / 2.0)
t = 'Frequency range: {:.0f} - {:.0f} Hz'.format(minf, maxf)
freq_label.setText(t)
config.MIN_FREQUENCY = minf
config.MAX_FREQUENCY = maxf
dsp.create_mel_bank()
freq_slider = pg.TickSliderItem(orientation='bottom', allowAdd=False)
freq_slider.addTick(
(config.MIN_FREQUENCY / (config.MIC_RATE / 2.0))**0.5)
freq_slider.addTick(
(config.MAX_FREQUENCY / (config.MIC_RATE / 2.0))**0.5)
freq_slider.tickMoveFinished = freq_slider_change
freq_label.setText('Frequency range: {} - {} Hz'.format(
config.MIN_FREQUENCY, config.MAX_FREQUENCY))
# Effect selection
active_color = '#16dbeb'
inactive_color = '#FFFFFF'
def energy_click(x):
global visualization_effect
visualization_effect = visualize_energy
energy_label.setText('Energy', color=active_color)
def main():
print("Mode = "+config.VISUAL_EFFECT)
if config.USE_GUI:
import pyqtgraph as pg
from pyqtgraph.Qt import QtGui, QtCore
# Create GUI window
app = QtGui.QApplication([])
view = pg.GraphicsView()
layout = pg.GraphicsLayout(border=(100,100,100))
view.setCentralItem(layout)
view.show()
view.setWindowTitle('Visualization')
view.resize(800,600)
# Mel filterbank plot
fft_plot = layout.addPlot(title='Filterbank Output', colspan=3)
fft_plot.setRange(yRange=[-0.1, 1.2])
fft_plot.disableAutoRange(axis=pg.ViewBox.YAxis)
x_data = np.array(range(1, config.N_FFT_BINS + 1))
mel_curve = pg.PlotCurveItem()
mel_curve.setData(x=x_data, y=x_data*0)
fft_plot.addItem(mel_curve)
# Visualization plot
layout.nextRow()
led_plot = layout.addPlot(title='Visualization Output', colspan=3)
led_plot.setRange(yRange=[-5, 260])
led_plot.disableAutoRange(axis=pg.ViewBox.YAxis)
# Pen for each of the color channel curves
r_pen = pg.mkPen((255, 30, 30, 200), width=4)
g_pen = pg.mkPen((30, 255, 30, 200), width=4)
b_pen = pg.mkPen((30, 30, 255, 200), width=4)
# Color channel curves
r_curve = pg.PlotCurveItem(pen=r_pen)
g_curve = pg.PlotCurveItem(pen=g_pen)
b_curve = pg.PlotCurveItem(pen=b_pen)
# Define x data
x_data = np.array(range(1, config.N_PIXELS + 1))
r_curve.setData(x=x_data, y=x_data*0)
g_curve.setData(x=x_data, y=x_data*0)
b_curve.setData(x=x_data, y=x_data*0)
# Add curves to plot
led_plot.addItem(r_curve)
led_plot.addItem(g_curve)
led_plot.addItem(b_curve)
# Frequency range label
freq_label = pg.LabelItem('')
# Frequency slider
def freq_slider_change(tick):
minf = freq_slider.tickValue(0)**2.0 * (config.MIC_RATE / 2.0)
maxf = freq_slider.tickValue(1)**2.0 * (config.MIC_RATE / 2.0)
t = 'Frequency range: {:.0f} - {:.0f} Hz'.format(minf, maxf)
freq_label.setText(t)
config.MIN_FREQUENCY = minf
config.MAX_FREQUENCY = maxf
dsp.create_mel_bank()
freq_slider = pg.TickSliderItem(orientation='bottom', allowAdd=False)
freq_slider.addTick((config.MIN_FREQUENCY / (config.MIC_RATE / 2.0))**0.5)
freq_slider.addTick((config.MAX_FREQUENCY / (config.MIC_RATE / 2.0))**0.5)
freq_slider.tickMoveFinished = freq_slider_change
freq_label.setText('Frequency range: {} - {} Hz'.format(
config.MIN_FREQUENCY,
config.MAX_FREQUENCY))
# Effect selection
active_color = '#16dbeb'
inactive_color = '#FFFFFF'
def energy_click(x):
global visualization_effect
visualization_effect = visualize_energy
energy_label.setText('Energy', color=active_color)
scroll_label.setText('Scroll', color=inactive_color)
spectrum_label.setText('Spectrum', color=inactive_color)
def scroll_click(x):
global visualization_effect
visualization_effect = visualize_scroll
energy_label.setText('Energy', color=inactive_color)
scroll_label.setText('Scroll', color=active_color)
spectrum_label.setText('Spectrum', color=inactive_color)
def spectrum_click(x):
global visualization_effect
visualization_effect = visualize_spectrum
energy_label.setText('Energy', color=inactive_color)
scroll_label.setText('Scroll', color=inactive_color)
spectrum_label.setText('Spectrum', color=active_color)
# Create effect "buttons" (labels with click event)
energy_label = pg.LabelItem('Energy')
scroll_label = pg.LabelItem('Scroll')
spectrum_label = pg.LabelItem('Spectrum')
energy_label.mousePressEvent = energy_click
scroll_label.mousePressEvent = scroll_click
spectrum_label.mousePressEvent = spectrum_click
energy_click(0)
# Layout
layout.nextRow()
layout.addItem(freq_label, colspan=3)
layout.nextRow()
layout.addItem(freq_slider, colspan=3)
layout.nextRow()
layout.addItem(energy_label)
layout.addItem(scroll_label)
layout.addItem(spectrum_label)
# Initialize LEDs
led.update()
# Start listening to live audio stream
microphone.start_stream(microphone_update)
def make_gui(self):
# Create GUI window
app = QtGui.QApplication([])
view = pg.GraphicsView()
layout = pg.GraphicsLayout(border=(100,100,100))
view.setCentralItem(layout)
view.show()
view.setWindowTitle('Visualization')
view.resize(800,600)
# Mel filterbank plot
fft_plot = layout.addPlot(title='Filterbank Output', colspan=3)
fft_plot.setRange(yRange=[-0.1, 1.2])
fft_plot.disableAutoRange(axis=pg.ViewBox.YAxis)
x_data = np.array(range(1, self.config['N_FFT_BINS'] + 1))
mel_curve = pg.PlotCurveItem()
mel_curve.setData(x=x_data, y=x_data*0)
fft_plot.addItem(mel_curve)
def add_led_plot(o):
# Visualization plot
layout.nextRow()
led_plot = layout.addPlot(title='LED: ' + o['NAME'], colspan=3)
led_plot.setRange(yRange=[-5, 260])
led_plot.disableAutoRange(axis=pg.ViewBox.YAxis)
# Pen for each of the color channel curves
r_pen = pg.mkPen((255, 30, 30, 200), width=4)
g_pen = pg.mkPen((30, 255, 30, 200), width=4)
b_pen = pg.mkPen((30, 30, 255, 200), width=4)
# Color channel curves
r_curve = pg.PlotCurveItem(pen=r_pen)
g_curve = pg.PlotCurveItem(pen=g_pen)
b_curve = pg.PlotCurveItem(pen=b_pen)
# Define x data
x_data = np.array(range(1, o['N_PIXELS'] + 1))
r_curve.setData(x=x_data, y=x_data*0)
g_curve.setData(x=x_data, y=x_data*0)
b_curve.setData(x=x_data, y=x_data*0)
# Add curves to plot
led_plot.addItem(r_curve)
led_plot.addItem(g_curve)
led_plot.addItem(b_curve)
self.led_plots[o['NAME']] = (led_plot, r_curve, g_curve, b_curve)
for o in self.config.get('OUTPUTS') or []:
# TODO: better way to figure this out
if o.get('DEVICE', '').endswith('Strip'):
add_led_plot(o)
# Frequency range label
freq_label = pg.LabelItem('')
# Frequency slider
def freq_slider_change(tick):
minf = freq_slider.tickValue(0)**2.0 * (self.config['MIC_RATE'] / 2.0)
maxf = freq_slider.tickValue(1)**2.0 * (self.config['MIC_RATE'] / 2.0)
t = 'Frequency range: {:.0f} - {:.0f} Hz'.format(minf, maxf)
freq_label.setText(t)
self.config['MIN_FREQUENCY'] = minf
self.config['MAX_FREQUENCY'] = maxf
return
dsp.create_mel_bank()
freq_slider = pg.TickSliderItem(orientation='bottom', allowAdd=False)
freq_slider.addTick((self.config['MIN_FREQUENCY'] / (self.config['MIC_RATE'] / 2.0))**0.5)
freq_slider.addTick((self.config['MAX_FREQUENCY'] / (self.config['MIC_RATE'] / 2.0))**0.5)
freq_slider.tickMoveFinished = freq_slider_change
freq_label.setText('Frequency range: {} - {} Hz'.format(
self.config['MIN_FREQUENCY'],
self.config['MAX_FREQUENCY']))
# # Effect selection
# active_color = '#16dbeb'
# inactive_color = '#FFFFFF'
# def energy_click(x):
# global visualization_effect
# visualization_effect = visualize_energy
# energy_label.setText('Energy', color=active_color)
# scroll_label.setText('Scroll', color=inactive_color)
# spectrum_label.setText('Spectrum', color=inactive_color)
# def scroll_click(x):
# global visualization_effect
# visualization_effect = visualize_scroll
# energy_label.setText('Energy', color=inactive_color)
# scroll_label.setText('Scroll', color=active_color)
# spectrum_label.setText('Spectrum', color=inactive_color)
# def spectrum_click(x):
# global visualization_effect
# visualization_effect = visualize_spectrum
# energy_label.setText('Energy', color=inactive_color)
# scroll_label.setText('Scroll', color=inactive_color)
# spectrum_label.setText('Spectrum', color=active_color)
# # Create effect "buttons" (labels with click event)
# energy_label = pg.LabelItem('Energy')
# scroll_label = pg.LabelItem('Scroll')
# spectrum_label = pg.LabelItem('Spectrum')
# energy_label.mousePressEvent = energy_click
# scroll_label.mousePressEvent = scroll_click
# spectrum_label.mousePressEvent = spectrum_click
# energy_click(0)
# Layout
layout.nextRow()
layout.addItem(freq_label, colspan=3)
layout.nextRow()
layout.addItem(freq_slider, colspan=3)
layout.nextRow()
# layout.addItem(energy_label)
# layout.addItem(scroll_label)
# layout.addItem(spectrum_label)
self.app = app
self.view = view
self.layout = layout
self.mel_curve = mel_curve
def drawGraph(self):
self.graphView = pg.GraphicsView(self.wave_widget)
self.graphLayout = pg.GraphicsLayout(border=(100, 100, 100))
self.graphView.setCentralItem(self.graphLayout)
self.graphView.show()
self.graphView.setWindowTitle('Visualization')
self.graphView.resize(764, 528)
# Mel filterbank plot
fft_plot = self.graphLayout.addPlot(title='Filterbank Output',
colspan=3)
fft_plot.setRange(yRange=[-0.1, 1.2])
fft_plot.disableAutoRange(axis=pg.ViewBox.YAxis)
x_data = np.array(range(1, config.N_FFT_BINS + 1))
self.mel_curve = pg.PlotCurveItem()
self.mel_curve.setData(x=x_data, y=x_data * 0)
fft_plot.addItem(self.mel_curve)
# Visualization plot
self.graphLayout.nextRow()
led_plot = self.graphLayout.addPlot(title='Visualization Output',
colspan=3)
led_plot.setRange(yRange=[-5, 260])
led_plot.disableAutoRange(axis=pg.ViewBox.YAxis)
# Pen for each of the color channel curves
r_pen = pg.mkPen((255, 30, 30, 200), width=4)
g_pen = pg.mkPen((30, 255, 30, 200), width=4)
b_pen = pg.mkPen((30, 30, 255, 200), width=4)
# Color channel curves
self.r_curve = pg.PlotCurveItem(pen=r_pen)
self.g_curve = pg.PlotCurveItem(pen=g_pen)
self.b_curve = pg.PlotCurveItem(pen=b_pen)
# Define x data
x_data = np.array(range(1, config.N_PIXELS + 1))
self.r_curve.setData(x=x_data, y=x_data * 0)
self.g_curve.setData(x=x_data, y=x_data * 0)
self.b_curve.setData(x=x_data, y=x_data * 0)
# Add curves to plot
led_plot.addItem(self.r_curve)
led_plot.addItem(self.g_curve)
led_plot.addItem(self.b_curve)
# Frequency range label
self.freq_label = pg.LabelItem('')
self.freq_slider = pg.TickSliderItem(orientation='bottom',
allowAdd=False)
self.freq_slider.addTick(
(config.MIN_FREQUENCY / (config.MIC_RATE / 2.0))**0.5)
self.freq_slider.addTick(
(config.MAX_FREQUENCY / (config.MIC_RATE / 2.0))**0.5)
self.freq_slider.tickMoveFinished = self.freq_slider_change
self.freq_label.setText('Frequency range: {} - {} Hz'.format(
config.MIN_FREQUENCY, config.MAX_FREQUENCY))
#Create effect "buttons" (labels with click event)
self.energy_label = pg.LabelItem('Energy')
self.scroll_label = pg.LabelItem('Scroll')
self.spectrum_label = pg.LabelItem('Spectrum')
self.energy_label.mousePressEvent = self.energy_click
self.scroll_label.mousePressEvent = self.scroll_click
self.spectrum_label.mousePressEvent = self.spectrum_click
self.energy_click(0)
# Layout
self.graphLayout.nextRow()
self.graphLayout.addItem(self.freq_label, colspan=3)
self.graphLayout.nextRow()
self.graphLayout.addItem(self.freq_slider, colspan=3)
self.graphLayout.nextRow()
self.graphLayout.addItem(self.energy_label)
self.graphLayout.addItem(self.scroll_label)
self.graphLayout.addItem(self.spectrum_label)
self.verticalLayout_5.addWidget(self.graphView)
def __init__(self, app_parent, layout_parent):
self.parent = app_parent
self.layout = layout_parent
# Mel filterbank plot
self.fft_plot = self.layout.addPlot(title='Filterbank Output',
colspan=3)
self.fft_plot.setRange(yRange=[-0.1, 1.2])
self.fft_plot.disableAutoRange(axis=pg.ViewBox.YAxis)
self.x_data = np.array(range(1, config.N_FFT_BINS + 1))
self.mel_curve = pg.PlotCurveItem()
self.mel_curve.setData(x=self.x_data, y=self.x_data * 0)
self.fft_plot.addItem(self.mel_curve)
# Visualization plot
self.layout.nextRow()
self.led_plot = self.layout.addPlot(title='Visualization Output',
colspan=3)
self.led_plot.setRange(yRange=[-5, 260])
self.led_plot.disableAutoRange(axis=pg.ViewBox.YAxis)
# Pen for each of the color channel curves
self.r_pen = pg.mkPen((255, 30, 30, 200), width=4)
self.g_pen = pg.mkPen((30, 255, 30, 200), width=4)
self.b_pen = pg.mkPen((30, 30, 255, 200), width=4)
# Color channel curves
self.r_curve = pg.PlotCurveItem(pen=self.r_pen)
self.g_curve = pg.PlotCurveItem(pen=self.g_pen)
self.b_curve = pg.PlotCurveItem(pen=self.b_pen)
# Define x data
self.x_data = np.array(range(1, config.N_PIXELS + 1))
self.r_curve.setData(x=self.x_data, y=self.x_data * 0)
self.g_curve.setData(x=self.x_data, y=self.x_data * 0)
self.b_curve.setData(x=self.x_data, y=self.x_data * 0)
# Add curves to plot
self.led_plot.addItem(self.r_curve)
self.led_plot.addItem(self.g_curve)
self.led_plot.addItem(self.b_curve)
# Frequency range label
self.freq_label = pg.LabelItem('')
# Frequency slider
self.freq_slider = pg.TickSliderItem(orientation='bottom',
allowAdd=False)
self.freq_slider.addTick(
(config.MIN_FREQUENCY / (config.MIC_RATE / 2.0))**0.5)
self.freq_slider.addTick(
(config.MAX_FREQUENCY / (config.MIC_RATE / 2.0))**0.5)
self.freq_slider.tickMoveFinished = self.freq_slider_change
self.freq_label.setText('Frequency range: {} - {} Hz'.format(
config.MIN_FREQUENCY, config.MAX_FREQUENCY))
# Create effect "buttons" (labels with click event)
self.energy_label = pg.LabelItem('Energy')
self.scroll_label = pg.LabelItem('Scroll')
self.spectrum_label = pg.LabelItem('Spectrum')
self.energy_label.mousePressEvent = self.energy_click
self.scroll_label.mousePressEvent = self.scroll_click
self.spectrum_label.mousePressEvent = self.spectrum_click
self.energy_click(0)
# Layout
self.layout.nextRow()
self.layout.addItem(self.freq_label, colspan=3)
self.layout.nextRow()
self.layout.addItem(self.freq_slider, colspan=3)
self.layout.nextRow()
self.layout.addItem(self.energy_label)
self.layout.addItem(self.scroll_label)
self.layout.addItem(self.spectrum_label)
##We need to keep track of two things:
# - The time series data
# - The indices of selected points
data = np.empty(100)
bad = []
#Set up plot components
s1 = pg.ScatterPlotItem(brush=(255, 0, 0), pen='w', symbol='o')
l1 = pg.PlotCurveItem()
#Add components to plot object.
p1.addItem(s1)
p1.addItem(l1)
#Add tickslider
ts = pg.TickSliderItem(title='smooth level')
for i in range(1, 11):
ts.addTick(i)
win.nextRow()
win.addItem(ts)
#Stream data
ptr = 0
def newdata():
global data, ptr
data[ptr] = np.random.normal()
ptr += 1
#Double length of array as needed to hold new data.
if ptr >= data.shape[0]:
def init_gui():
def microphone_update(audio_samples):
global y_roll, prev_rms, prev_exp, prev_fps_update
# Normalize samples between 0 and 1
y = audio_samples / 2.0 ** 15
# Construct a rolling window of audio samples
y_roll[:-1] = y_roll[1:]
y_roll[-1, :] = np.copy(y)
y_data = np.concatenate(y_roll, axis=0).astype(np.float32)
vol = np.max(np.abs(y_data))
if vol < config.MIN_VOLUME_THRESHOLD:
print('No audio input. Volume below threshold. Volume:', vol)
led.pixels = np.tile(0, (3, config.N_PIXELS))
led.update()
else:
# Transform audio input into the frequency domain
N = len(y_data)
N_zeros = 2 ** int(np.ceil(np.log2(N))) - N
# Pad with zeros until the next power of two
y_data *= fft_window
y_padded = np.pad(y_data, (0, N_zeros), mode='constant')
YS = np.abs(np.fft.rfft(y_padded)[:N // 2])
# Construct a Mel filterbank from the FFT data
mel = np.atleast_2d(YS).T * dsp.mel_y.T
# Scale data to values more suitable for visualization
# mel = np.sum(mel, axis=0)
mel = np.sum(mel, axis=0)
mel = mel ** 2.0
# Gain normalization
mel_gain.update(np.max(gaussian_filter1d(mel, sigma=1.0)))
mel /= mel_gain.value
mel = mel_smoothing.update(mel)
# Map filterbank output onto LED strip
output = visualization_effect(mel)
led.pixels = output
led.update()
if config.USE_GUI:
# Plot filterbank output
x = np.linspace(config.MIN_FREQUENCY, config.MAX_FREQUENCY, len(mel))
mel_curve.setData(x=x, y=fft_plot_filter.update(mel))
# Plot the color channels
r_curve.setData(y=led.pixels[0])
g_curve.setData(y=led.pixels[1])
b_curve.setData(y=led.pixels[2])
if config.USE_GUI:
app.processEvents()
if config.DISPLAY_FPS:
fps = frames_per_second()
if time.time() - 0.5 > prev_fps_update:
prev_fps_update = time.time()
print('FPS {:.0f} / {:.0f}'.format(fps, config.FPS))
if config.USE_GUI:
import pyqtgraph as pg
from pyqtgraph.Qt import QtGui, QtCore
# Create GUI window
app = QtGui.QApplication([])
view = pg.GraphicsView()
layout = pg.GraphicsLayout(border=(100,100,100))
view.setCentralItem(layout)
view.show()
view.setWindowTitle('Visualization')
view.resize(800,600)
# Mel filterbank plot
fft_plot = layout.addPlot(title='Filterbank Output', colspan=3)
fft_plot.setRange(yRange=[-0.1, 1.2])
fft_plot.disableAutoRange(axis=pg.ViewBox.YAxis)
x_data = np.array(range(1, config.N_FFT_BINS + 1))
mel_curve = pg.PlotCurveItem()
mel_curve.setData(x=x_data, y=x_data*0)
fft_plot.addItem(mel_curve)
# Visualization plot
layout.nextRow()
led_plot = layout.addPlot(title='Visualization Output', colspan=3)
led_plot.setRange(yRange=[-5, 260])
led_plot.disableAutoRange(axis=pg.ViewBox.YAxis)
# Pen for each of the color channel curves
r_pen = pg.mkPen((255, 30, 30, 200), width=4)
g_pen = pg.mkPen((30, 255, 30, 200), width=4)
b_pen = pg.mkPen((30, 30, 255, 200), width=4)
# Color channel curves
r_curve = pg.PlotCurveItem(pen=r_pen)
g_curve = pg.PlotCurveItem(pen=g_pen)
b_curve = pg.PlotCurveItem(pen=b_pen)
# Define x data
x_data = np.array(range(1, config.N_PIXELS + 1))
r_curve.setData(x=x_data, y=x_data*0)
g_curve.setData(x=x_data, y=x_data*0)
b_curve.setData(x=x_data, y=x_data*0)
# Add curves to plot
led_plot.addItem(r_curve)
led_plot.addItem(g_curve)
led_plot.addItem(b_curve)
# Frequency range label
freq_label = pg.LabelItem('')
# Frequency slider
def freq_slider_change(tick):
minf = freq_slider.tickValue(0)**2.0 * (config.MIC_RATE / 2.0)
maxf = freq_slider.tickValue(1)**2.0 * (config.MIC_RATE / 2.0)
t = 'Frequency range: {:.0f} - {:.0f} Hz'.format(minf, maxf)
freq_label.setText(t)
config.MIN_FREQUENCY = minf
config.MAX_FREQUENCY = maxf
dsp.create_mel_bank()
freq_slider = pg.TickSliderItem(orientation='bottom', allowAdd=False)
freq_slider.addTick((config.MIN_FREQUENCY / (config.MIC_RATE / 2.0))**0.5)
freq_slider.addTick((config.MAX_FREQUENCY / (config.MIC_RATE / 2.0))**0.5)
freq_slider.tickMoveFinished = freq_slider_change
freq_label.setText('Frequency range: {} - {} Hz'.format(
config.MIN_FREQUENCY,
config.MAX_FREQUENCY))
# Effect selection
active_color = '#16dbeb'
inactive_color = '#FFFFFF'
def energy_click(x):
global visualization_effect
visualization_effect = visualize_energy
energy_label.setText('Energy', color=active_color)
scroll_label.setText('Scroll', color=inactive_color)
spectrum_label.setText('Spectrum', color=inactive_color)
def scroll_click(x):
global visualization_effect
visualization_effect = visualize_scroll
energy_label.setText('Energy', color=inactive_color)
scroll_label.setText('Scroll', color=active_color)
spectrum_label.setText('Spectrum', color=inactive_color)
def spectrum_click(x):
global visualization_effect
visualization_effect = visualize_spectrum
energy_label.setText('Energy', color=inactive_color)
scroll_label.setText('Scroll', color=inactive_color)
spectrum_label.setText('Spectrum', color=active_color)
# Create effect "buttons" (labels with click event)
energy_label = pg.LabelItem('Energy')
scroll_label = pg.LabelItem('Scroll')
spectrum_label = pg.LabelItem('Spectrum')
energy_label.mousePressEvent = energy_click
scroll_label.mousePressEvent = scroll_click
spectrum_label.mousePressEvent = spectrum_click
energy_click(0)
# Layout
layout.nextRow()
layout.addItem(freq_label, colspan=3)
layout.nextRow()
layout.addItem(freq_slider, colspan=3)
layout.nextRow()
layout.addItem(energy_label)
layout.addItem(scroll_label)
layout.addItem(spectrum_label)
# Initialize LEDs
led.update()
lr.setZValue(-10)
p8.addItem(lr)
p9 = win.addPlot(title="Zoom on selected region")
p9.plot(data2)
def updatePlot():
p9.setXRange(*lr.getRegion(), padding=0)
def updateRegion():
lr.setRegion(p9.getViewBox().viewRange()[0])
lr.sigRegionChanged.connect(updatePlot)
p9.sigXRangeChanged.connect(updateRegion)
updatePlot()
win.nextRow()
p10 = win.addPlot(title='test')
sl = pg.TickSliderItem()
sl.addTick(2)
p10.addItem(sl)
## Start Qt event loop unless running in interactive mode or using pyside.
if __name__ == '__main__':
import sys
if (sys.flags.interactive != 1) or not hasattr(QtCore, 'PYQT_VERSION'):
QtGui.QApplication.instance().exec_()
def setupUi(self, MainWindow):
super().setupUi(MainWindow)
####
self.visualizerGView = pg.GraphicsView(self.visualizerTab)
self.visualizerGView.setObjectName(_fromUtf8("visualizerGView"))
self.visualizerVLayout.addWidget(self.visualizerGView)
self.layout = pg.GraphicsLayout(border=(100, 100, 100))
self.visualizerGView.setCentralItem(self.layout)
####
# Mel filterbank plot
self.fft_plot = self.layout.addPlot(title='Filterbank Output',
colspan=3)
self.fft_plot.setRange(yRange=[-0.1, 1.2])
self.fft_plot.disableAutoRange(axis=pg.ViewBox.YAxis)
self.x_data = np.array(range(1, config.N_FFT_BINS + 1))
self.mel_curve = pg.PlotCurveItem()
self.mel_curve.setData(x=self.x_data, y=self.x_data * 0)
self.fft_plot.addItem(self.mel_curve)
# Visualization plot
self.layout.nextRow()
self.led_plot = self.layout.addPlot(title='Visualization Output',
colspan=3)
self.led_plot.setRange(yRange=[-5, 260])
self.led_plot.disableAutoRange(axis=pg.ViewBox.YAxis)
# Pen for each of the color channel curves
self.r_pen = pg.mkPen((255, 30, 30, 200), width=4)
self.g_pen = pg.mkPen((30, 255, 30, 200), width=4)
self.b_pen = pg.mkPen((30, 30, 255, 200), width=4)
# Color channel curves
self.r_curve = pg.PlotCurveItem(pen=self.r_pen)
self.g_curve = pg.PlotCurveItem(pen=self.g_pen)
self.b_curve = pg.PlotCurveItem(pen=self.b_pen)
# Define x data
self.x_data = np.array(range(1, config.N_PIXELS + 1))
self.r_curve.setData(x=self.x_data, y=self.x_data * 0)
self.g_curve.setData(x=self.x_data, y=self.x_data * 0)
self.b_curve.setData(x=self.x_data, y=self.x_data * 0)
# Add curves to plot
self.led_plot.addItem(self.r_curve)
self.led_plot.addItem(self.g_curve)
self.led_plot.addItem(self.b_curve)
# Frequency range label
self.freq_label = pg.LabelItem('')
# Frequency slider
self.freq_slider = pg.TickSliderItem(orientation='bottom',
allowAdd=False)
self.freq_slider.addTick(
(config.MIN_FREQUENCY / (config.MIC_RATE / 2.0))**0.5)
self.freq_slider.addTick(
(config.MAX_FREQUENCY / (config.MIC_RATE / 2.0))**0.5)
self.freq_slider.tickMoveFinished = self.freq_slider_change
self.freq_label.setText('Frequency range: {} - {} Hz'.format(
config.MIN_FREQUENCY, config.MAX_FREQUENCY))
# Create effect "buttons" (labels with click event)
self.energy_label = pg.LabelItem('Energy')
self.scroll_label = pg.LabelItem('Scroll')
self.spectrum_label = pg.LabelItem('Spectrum')
self.energy_label.mousePressEvent = self.energy_click
self.scroll_label.mousePressEvent = self.scroll_click
self.spectrum_label.mousePressEvent = self.spectrum_click
self.energy_click(0)
# Layout
self.layout.nextRow()
self.layout.addItem(self.freq_label, colspan=3)
self.layout.nextRow()
self.layout.addItem(self.freq_slider, colspan=3)
self.layout.nextRow()
self.layout.addItem(self.energy_label)
self.layout.addItem(self.scroll_label)
self.layout.addItem(self.spectrum_label)
# Fix secondTab
self.tabWidget.setTabText(self.tabWidget.indexOf(self.visualizerTab),
_translate("MainWindow", "Visualizer", None))
#SIGNALS AND CONNECTORS
self.visualizerStartBtn.clicked.connect(self.start_visualizer_click)
self.visualizerStopBtn.clicked.connect(self.stop_visualizer_click)
self.parent_app.aboutToQuit.connect(self.closeEvent)
# AUDIO INPUT DEVICES
self.getaudiodevices()
self.soundDeviceSelectBox.currentIndexChanged.connect(
self.inputDeviceChanged)
# gui.add_curve(plot_index=0)
# gui.win.nextRow()
# Cos plot
# gui.add_plot(title='Cos Plot')
# gui.add_curve(plot_index=1)
#
inactive_color = '#FFFFFF'
R_label = pg.LabelItem('')
def freq_slider_changeR(tick):
value = freq_sliderR.tickValue(0) +1
R_label.setText(f"valor Red: {str(value)}",color=inactive_color)
print(value)
config.R_MULTIPLIER = value
R_label.setText(f"valor Red: ",color=inactive_color)
freq_sliderR = pg.TickSliderItem(orientation='left', allowAdd=False)
freq_sliderR.addTick(0)
freq_sliderR.addTick(255)
# print(config.R_MULTIPLIER)
freq_sliderR.tickMoveFinished = freq_slider_changeR
gui.win.nextRow()
gui.win.addItem(freq_sliderR,colspan=3)
# while True:
# t = time.time()
# x = np.linspace(t, 2 * np.pi + t, N)
# gui.curve[0][0].setData(x=x, y=np.sin(x))
# gui.curve[1][0].setData(x=x, y=np.cos(x))
# gui.app.processEvents()
# time.sleep(1.0 / 30.0)