Added a lowpass filter to pixel output

This commit is contained in:
Scott Lawson 2016-10-23 15:39:18 -07:00
parent 8a1a53fd61
commit 9e615e0f35

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@ -461,16 +461,23 @@ y_roll = np.random.rand(config.N_ROLLING_HISTORY, samples_per_frame) / 100.0
# update_leds_6 = energy average normalized per-bin spectrum (GAMMA = True)
# Low pass filter for the LEDs being output to the strip
pixels_filt = dsp.ExponentialFilter(np.tile(0., (config.N_PIXELS, 3)), .2, .9)
# This is the function responsible for updating LED values
# Edit this function to change the visualization
def led_visualization(onset_values):
# Visualizations that we want to use (normalized to [0, 1])
pixels_A = update_leds_6(onset_values).astype(float) / 255.0
pixels_B = update_leds_4(onset_values).astype(float) / 255.0
# Take the product of the visualizations and scale by 255
pixels = pixels_A * pixels_B
pixels = pixels**1.0
pixels *= 255.0
pixels = np.round(pixels).astype(int)
led.pixels = np.copy(pixels)
# Apply low-pass filter to the output
pixels_filt.update(np.copy(pixels))
# Display values on the LED strip
led.pixels = np.round(pixels_filt.value).astype(int)
led.update()