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config.py
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config.py
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"""Settings for audio reactive LED strip"""
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from __future__ import print_function
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from __future__ import division
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import os
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DEVICE = 'stripless'
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"""Device used to control LED strip. Must be 'pi', 'esp8266' or 'blinkstick'
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'esp8266' means that you are using an ESP8266 module to control the LED strip
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and commands will be sent to the ESP8266 over WiFi.
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'pi' means that you are using a Raspberry Pi as a standalone unit to process
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audio input and control the LED strip directly.
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'blinkstick' means that a BlinkstickPro is connected to this PC which will be used
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to control the leds connected to it.
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'stripless' means that the program will run without sending data to a strip.
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Useful for development etc, but doesn't look half as good ;)
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"""
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if DEVICE == 'esp8266':
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AUTO_DETECT = False
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"""Set to true if the ip address of the device changes. This is the case if it's connecting
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through windows hotspot for instance. If so, give the mac address of the device."""
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MAC_ADDR = "5c-cf-7f-f0-8c-f3"
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"""MAC address of the ESP8266."""
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UDP_IP = "192.168.1.68"
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"""IP address of the ESP8266.
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Unless using auto detect, it must match IP in ws2812_controller.ino"""
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UDP_PORT = 7778
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"""Port number used for socket communication between Python and ESP8266"""
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SOFTWARE_GAMMA_CORRECTION = False
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"""Set to False because the firmware handles gamma correction + dither"""
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elif DEVICE == 'pi':
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LED_PIN = 18
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"""GPIO pin connected to the LED strip pixels (must support PWM)"""
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LED_FREQ_HZ = 800000
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"""LED signal frequency in Hz (usually 800kHz)"""
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LED_DMA = 5
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"""DMA channel used for generating PWM signal (try 5)"""
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BRIGHTNESS = 255
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"""Brightness of LED strip between 0 and 255"""
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LED_INVERT = True
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"""Set True if using an inverting logic level converter"""
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SOFTWARE_GAMMA_CORRECTION = True
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"""Set to True because Raspberry Pi doesn't use hardware dithering"""
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elif DEVICE == 'blinkstick':
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SOFTWARE_GAMMA_CORRECTION = True
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"""Set to True because blinkstick doesn't use hardware dithering"""
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elif DEVICE == 'stripless':
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pass
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else:
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raise ValueError("Invalid device selected. Device {} not known.".format(DEVICE))
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USE_GUI = True
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"""Whether or not to display a PyQtGraph GUI plot of visualization"""
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DISPLAY_FPS = False
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"""Whether to display the FPS when running (can reduce performance)"""
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N_PIXELS = 242
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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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MIC_RATE = 48000
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"""Sampling frequency of the microphone in Hz"""
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FPS = 40
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"""Desired refresh rate of the visualization (frames per second)
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FPS indicates the desired refresh rate, or frames-per-second, of the audio
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visualization. The actual refresh rate may be lower if the computer cannot keep
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up with desired FPS value.
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Higher framerates improve "responsiveness" and reduce the latency of the
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visualization but are more computationally expensive.
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Low framerates are less computationally expensive, but the visualization may
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appear "sluggish" or out of sync with the audio being played if it is too low.
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The FPS should not exceed the maximum refresh rate of the LED strip, which
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depends on how long the LED strip is.
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"""
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_max_led_FPS = int(((N_PIXELS * 30e-6) + 50e-6)**-1.0)
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assert FPS <= _max_led_FPS, 'FPS must be <= {}'.format(_max_led_FPS)
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MIN_FREQUENCY = 20
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"""Frequencies below this value will be removed during audio processing"""
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MAX_FREQUENCY = 18000
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"""Frequencies above this value will be removed during audio processing"""
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LOGARITHMIC_SCALING = True
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"""Scale frequencies logarithmically to match perceived pitch of human ear"""
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N_FFT_BINS = 24
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"""Number of frequency bins to use when transforming audio to frequency domain
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Fast Fourier transforms are used to transform time-domain audio data to the
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frequency domain. The frequencies present in the audio signal are assigned
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to their respective frequency bins. This value indicates the number of
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frequency bins to use.
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A small number of bins reduces the frequency resolution of the visualization
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but improves amplitude resolution. The opposite is true when using a large
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number of bins. More bins is not always better!
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There is no point using more bins than there are pixels on the LED strip.
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"""
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N_ROLLING_HISTORY = 4
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"""Number of past audio frames to include in the rolling window"""
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MIN_VOLUME_THRESHOLD = 1e-3
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"""No music visualization displayed if recorded audio volume below threshold"""
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