tusing

RGB Underglow Strip on the Zeal60: A Guide

You might find the full PCB image helpful. Ignore the red boxes!

Connect V+ to the receiving end of the thermistor labeled F1; connect GND to the board's GND pin. (Avoid connecting +V to the board's +5V pin - you will likely overload the thermistor, and you will limit your maximum brightness.)

I hereby claim:

To claim this, I am signing this object:

	"""NavigationSensors - designed to parse data from devices such as the Microsoft
	Kinect and ultrasonic sensors, in order to translate the data into
	intuitively acceptable input (such as haptic feedback) for blind individuals.

	The ideal use case is as such:
	1) We have a vest with haptic feedback motors. We have a Kinect and an
	ultrasonic sensor.
	2) We parse data from the Kinect into subdivided segments - one
	for every motor. For example, a vest with 4 motors would mean
	to subdivide our image into 4 squares (likely in a 2x2 formation).

	" WARNING: Remember that /etc/vim/vimrc has priority!

	set laststatus=2 " Always show statusline
	set t_Co=256 " 256 colors

	" ======== VUNDLE SETTINGS =========
	" ---------- VUNDLE START ----------
	set nocompatible " be iMproved, required
	filetype off " required
	set rtp+=~/.vim/bundle/Vundle.vim

	package main

	import (
	"flag"
	"github.com/op/go-logging"
	"os"
	)

	func makeLogger(name string, minLevel logging.Level) logging.Logger {
	log := logging.MustGetLogger(name)

	# ~/.bashrc: executed by bash(1) for non-login shells.
	# see /usr/share/doc/bash/examples/startup-files (in the package bash-doc)
	# for examples

	# If not running interactively, don't do anything
	case $- in
	i) ;;
	*) return;;
	esac

	import moviepy.editor as mpy
	from moviepy.video.tools.cuts import FramesMatches
	import argparse
	import dill
	import glob
	from multiprocessing import Process


	def main():
	parser = argparse.ArgumentParser(description='Find GIF loops in a video')

	"""
	by tusing

	MOTIVATION:
	Wanted a fast way to come up with reasonably pseudo-random numbers mentally.
	Humans have a bias when guessing numbers: we tend to guess 7 and 17 most often:
	http://scienceblogs.com/cognitivedaily/2007/02/05/is-17-the-most-random-number/

	ALGORITHM:
	1. Start with a seed (1). The seed serves to "balance" our output distribution,