Gurkengewuerz/audio-reactive-led-strip
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Updated documentation for configuration settings

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This commit is contained in:
Scott Lawson 2016-11-21 20:08:35 -08:00
parent 51eda2f0ba
commit e3a810db09
1 changed files with 30 additions and 19 deletions
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49
python/config.py
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@ -9,42 +9,53 @@ N_PIXELS = 60
GAMMA_TABLE_PATH = os.path.join(os.path.dirname(__file__), 'gamma_table.npy')
"""Location of the gamma correction table"""
UDP_IP = '192.168.0.150'
UDP_IP = '192.168.137.150'
"""IP address of the ESP8266"""
UDP_PORT = 7777
"""Port number used for socket communication between Python and ESP8266"""
#MIC_RATE = 44100
MIC_RATE = 48000
"""Sampling frequency of the microphone in Hz"""
FPS = 100
"""Desired LED strip update rate in frames (updates) per second
FPS = 60
"""Desired refresh rate of the visualization (frames per second)
This is the desired update rate of the LED strip. The actual refresh rate of
the LED strip may be lower if the time needed for signal processing exceeds
the per-frame recording time.
FPS indicates the desired refresh rate, or frames-per-second, of the audio
visualization. The actual refresh rate may be lower if the computer cannot keep
up with desired FPS value.
A high FPS results in low latency and smooth animations, but it also reduces
the duration of the short-time Fourier transform. This can negatively affect
low frequency (bass) response.
Higher framerates improve "responsiveness" and reduce the latency of the
visualization but are more computationally expensive.
Low framerates are less computationally expensive, but the visualization may
appear "sluggish" or out of sync with the audio being played if it is too low.
The FPS should not exceed the maximum refresh rate of the LED strip, which
depends on how long the LED strip is.
"""
_max_led_FPS = int(((N_PIXELS * 30e-6) + 50e-6)**-1.0)
assert FPS <= _max_led_FPS, 'FPS must be <= {}'.format(_max_led_FPS)
MIN_FREQUENCY = 200
"""Frequencies below this value will be removed during onset detection"""
"""Frequencies below this value will be removed during audio processing"""
MAX_FREQUENCY = 14000
"""Frequencies above this value will be removed during onset detection"""
MAX_FREQUENCY = 12000
"""Frequencies above this value will be removed during audio processing"""
N_SUBBANDS = 30 # 240 #48
"""Number of frequency bins to use for beat detection
N_FFT_BINS = 30
"""Number of frequency bins to use when transforming audio to frequency domain
More subbands improve beat detection sensitivity but it may become more
challenging for the visualization to work for a wide range of music.
Fast Fourier transforms are used to transform time-domain audio data to the
frequency domain. The frequencies present in the audio signal are assigned
to their respective frequency bins. This value indicates the number of
frequency bins to use.
Fewer subbands reduces signal processing time at the expense of beat detection
sensitivity.
A small number of bins reduces the frequency resolution of the visualization
but improves amplitude resolution. The opposite is true when using a large
number of bins.
There is no point using more bins than there are pixels on the LED strip.
"""
GAMMA_CORRECTION = True