Minor bug fixes and tweaks
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python/Output/visualize.log
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2352
python/Output/visualize.log
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@ -3,14 +3,13 @@ from __future__ import print_function
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from __future__ import division
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import os
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N_PIXELS = 60
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N_PIXELS = 240
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"""Number of pixels in the LED strip (must match ESP8266 firmware)"""
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GAMMA_TABLE_PATH = os.path.join(os.path.dirname(__file__), 'gamma_table.npy')
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"""Location of the gamma correction table"""
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UDP_IP = '192.168.0.101'
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#UDP_IP = '192.168.137.28'
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UDP_IP = '192.168.1.150'
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"""IP address of the ESP8266"""
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UDP_PORT = 7777
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@ -19,7 +18,7 @@ UDP_PORT = 7777
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MIC_RATE = 44100
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"""Sampling frequency of the microphone in Hz"""
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FPS = 50
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FPS = 45
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"""Desired LED strip update rate in frames (updates) per second
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This is the desired update rate of the LED strip. The actual refresh rate of
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@ -57,7 +56,7 @@ One downside to using a variance threshold is that it is an absolute threshold
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which is affected by the current volume.
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"""
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N_SUBBANDS = 40 # 240 #48
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N_SUBBANDS = 80 # 240 #48
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"""Number of frequency bins to use for beat detection
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More subbands improve beat detection sensitivity but it may become more
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@ -5,7 +5,7 @@ import config
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_sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
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_gamma = np.load('gamma_table.npy')
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_prev_pixels = np.tile(0, (config.N_PIXELS, 3))
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_prev_pixels = np.tile(255, (config.N_PIXELS, 3))
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pixels = np.tile(1, (config.N_PIXELS, 3))
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"""Array containing the pixel values for the LED strip"""
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@ -28,6 +28,5 @@ def update():
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if __name__ == '__main__':
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pixels += 0.0
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pixels = pixels * 0
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update()
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@ -10,7 +10,6 @@ import dsp
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import led
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def rainbow(length, speed=1.0 / 5.0):
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"""Returns a rainbow colored array with desired length
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@ -164,7 +163,6 @@ def update_leds_6(y):
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Array containing the onset energies that should be visualized.
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The
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"""
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# Scale y to emphasize large spikes and attenuate small changes
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# Exponents < 1.0 emphasize small changes and penalize large spikes
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# Exponents > 1.0 emphasize large spikes and penalize small changes
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@ -394,11 +392,13 @@ def microphone_update(stream):
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plot_y = [onsets.value**i for i in np.linspace(1, 0.25, config.N_CURVES)]
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update_plot_1(plot_x, plot_y)
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app.processEvents()
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print('{:.2f}\t{:.2f}\t{:.2f}\t{:.2f}\t{:.2f}'.format(SF_peak.value,
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NWPD_peak.value,
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RCD_peak.value,
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onset_peak.value,
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frames_per_second()))
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print('FPS {:.2f} / {:.2f}'.format(frames_per_second(), config.FPS))
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# print('{:.2f}\t{:.2f}\t{:.2f}\t{:.2f}\t{:.2f}'.format(SF_peak.value,
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# NWPD_peak.value,
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# RCD_peak.value,
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# onset_peak.value,
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# frames_per_second()))
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# Create plot and window
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@ -450,7 +450,7 @@ y_roll = np.random.rand(config.N_ROLLING_HISTORY, samples_per_frame) / 100.0
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# update_leds_4 = brightness modulation effect (GAMMA = True)
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# update_leds_5 = energy flux normalized per-bin spectrum (GAMMA = True)
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# update_leds_6 = energy average normalized per-bin spectrum (GAMMA = True)
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led_visualization = update_leds_6
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led_visualization = update_leds_1
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if __name__ == '__main__':
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led.update()
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