57 lines
1.8 KiB
Python
57 lines
1.8 KiB
Python
"""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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N_PIXELS = 60
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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 = '192.168.0.150'
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"""IP address of the ESP8266"""
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UDP_PORT = 7777
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"""Port number used for socket communication between Python and ESP8266"""
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#MIC_RATE = 44100
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MIC_RATE = 48000
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"""Sampling frequency of the microphone in Hz"""
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FPS = 100
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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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the LED strip may be lower if the time needed for signal processing exceeds
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the per-frame recording time.
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A high FPS results in low latency and smooth animations, but it also reduces
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the duration of the short-time Fourier transform. This can negatively affect
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low frequency (bass) response.
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"""
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MIN_FREQUENCY = 200
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"""Frequencies below this value will be removed during onset detection"""
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MAX_FREQUENCY = 14000
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"""Frequencies above this value will be removed during onset detection"""
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N_SUBBANDS = 30 # 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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challenging for the visualization to work for a wide range of music.
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Fewer subbands reduces signal processing time at the expense of beat detection
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sensitivity.
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"""
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GAMMA_CORRECTION = True
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"""Whether to correct LED brightness for nonlinear brightness perception"""
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N_ROLLING_HISTORY = 2
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"""Number of past audio frames to include in the rolling window"""
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MIN_VOLUME_THRESHOLD = 1e-7
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"""No music visualization displayed if recorded audio volume below threshold""" |