This commit adds support for the Raspberry Pi, which allows users to
create a completely standalone music visualization system. The Raspberry
Pi should be connected directly to a ws2812b LED strip. A PWM-capable
GPIO pin should be connected to the data line of the LED strip. A USB
audio input device should be connected to one of the Raspberry Pi's USB
ports.
It is recommended that the GUI and FPS output be disabled when running
the visualization on the Raspberry Pi. These features can degrade
performance on the already computationally limited Raspberry Pi.
Fixed an error that caused strange byte encoding in Python 3. This error
was caused by a mistake in porting code from Python 2.7 to Python 3 and
would cause strange LED flickering behaviour. The LED update code should
now work properly in Python 2.7 and Python 3.
Fixed some bugs that occurred in Python 3.5 but were not present in
Python 2.7. Most compatiblity issues were caused by incompatible type
casting of numpy arrays.
* Moved all module settings to a new config.py file
* Completely overhauled visualize.py and added a new radiate effect that
colours the radiative beats according the beat frequency.
* Improved some constants like the decay constant to be parametric so
that they scale to any led strip size
* Added temporal dithering to Beat.update_pixels() so that it now
supports fractional speed values. Being limited to integral values was
starting to become a problem.
* Overhauled and simplified the LED module.
* When updating pixels, the LED module no longer sends UDP packets for
pixels that have not changed. This optimization reduces the packet load
significantly and should allow for higher refresh rates.
* Renamed lookup_table.npy to gamm_table.npy to better reflect that the
table is used for gamma correction of the LED strip
Added lookup_table.npy which was missing from the previous commit. The
led.py module uses this table to do LED brightness gamma correction.
Fixed formatting for pep8 compliance
