Added ComboBox to GUI for effect selection

Added a ComboBox to the GUI to allow the user to change the
visualization effect without having to restart Python. The user can now
select from one of the following visualizations using the GUI: 'Scroll
effect', 'Spectrum effect', 'Energy effect'

python/gui.py

@@ -4,6 +4,7 @@ import time
 import numpy as np
 from pyqtgraph.Qt import QtGui
 import pyqtgraph as pg
+from pyqtgraph.dockarea import *
 
 
 class GUI:
@@ -11,13 +12,19 @@ class GUI:
     curve = []
 
     def __init__(self, width=800, height=450, title=''):
+        # Create GUI window
         self.app = QtGui.QApplication([])
         self.win = pg.GraphicsWindow(title)
         self.win.resize(width, height)
         self.win.setWindowTitle(title)
+        # Create GUI layout
+        self.layout = QtGui.QVBoxLayout()
+        self.win.setLayout(self.layout)
 
     def add_plot(self, title):
-        self.plot.append(self.win.addPlot(title=title))
+        new_plot = pg.PlotWidget()
+        self.layout.addWidget(new_plot)
+        self.plot.append(new_plot)
         self.curve.append([])
 
     def add_curve(self, plot_index, pen=(255, 255, 255)):
@@ -25,6 +32,7 @@ class GUI:
 
 
 if __name__ == '__main__':
+    # Example test gui
     N = 48
     gui = GUI(title='Test')
     # Sin plot
@@ -34,7 +42,6 @@ if __name__ == '__main__':
     # Cos plot
     gui.add_plot(title='Cos Plot')
     gui.add_curve(plot_index=1)
-
     while True:
         t = time.time()
         x = np.linspace(t, 2 * np.pi + t, N)

python/visualization.py

@@ -162,7 +162,7 @@ def visualize_energy(y):
     p[2, :b] = 255.0
     p[2, b:] = 0.0
     p_filt.update(p)
-    p = p_filt.value.astype(int)
+    p = np.round(p_filt.value)
     p[0, :] = gaussian_filter1d(p[0, :], sigma=4.0)
     p[1, :] = gaussian_filter1d(p[1, :], sigma=4.0)
     p[2, :] = gaussian_filter1d(p[2, :], sigma=4.0)
@@ -238,10 +238,7 @@ def microphone_update(stream):
         mel_gain.update(np.max(mel))
         mel = mel / mel_gain.value
         # Visualize the filterbank output
-        # visualize_spectrum(mel)
+        visualization_effect(mel)
-        # visualize_max(mel)
-        # visualize_scroll(mel)
-        visualize_energy(mel)
     GUI.app.processEvents()
     print('FPS {:.0f} / {:.0f}'.format(frames_per_second(), config.FPS))
 
@@ -252,6 +249,8 @@ samples_per_frame = int(config.MIC_RATE / config.FPS)
 # Array containing the rolling audio sample window
 y_roll = np.random.rand(config.N_ROLLING_HISTORY, samples_per_frame) / 1e16
 
+visualization_effect = visualize_spectrum
+"""Visualization effect to display on the LED strip"""
 
 if __name__ == '__main__':
     import pyqtgraph as pg
@@ -268,6 +267,18 @@ if __name__ == '__main__':
     GUI.curve[0][0].setData(x=range(config.N_PIXELS))
     GUI.curve[0][1].setData(x=range(config.N_PIXELS))
     GUI.curve[0][2].setData(x=range(config.N_PIXELS))
+    # Add ComboBox for effect selection
+    effect_list = {
+        'Scroll effect' : visualize_scroll, 
+        'Spectrum effect' : visualize_spectrum,
+        'Energy effect' : visualize_energy
+        }
+    effect_combobox = pg.ComboBox(items=effect_list)
+    def effect_change():
+        global visualization_effect
+        visualization_effect = effect_combobox.value()
+    effect_combobox.currentIndexChanged.connect(effect_change)
+    GUI.layout.addWidget(effect_combobox)
     # Initialize LEDs
     led.update()
     # Start listening to live audio stream