Jotaro JotaroS

## gist:79bce39aa170f43d9d6b
import cv2
import numpy as numpy
import sys
h = 512
w = 512

def nothing(x):
	pass

cv2.namedWindow('lena')

## file0.txt
R = \frac{(V_{cc}-V_f)}{I_f}

## file0.txt
            |---buttonA--2nd view
1st view----
            |---buttonB--3rd view


## file0.txt
screen /dev/tty.usbserial 115200

## test.js
var sphere_r = 200;
var phi=0,theta=0;

function setup() {
  var canvas = createCanvas(windowWidth, windowHeight,WEBGL);
  canvas.parent("p5Canvas");
  resizeCanvas(windowWidth, windowHeight);
  basicMaterial(0,0,0);
  setupSphereShell();
}

## ms_emotion.py
# Calling Emotion APIs is
# restricted to 20 transactions per minute
# and 30,000 transactions per month.
# 20 transactions per 60 seconds
# 1 transaction per 3 seconds

# python ms_emotion.py tani.jpg

import httplib
import urllib

## Makefile
CC=g++
CFLAGS=-Wall
.SUFFIXES = .cpp
objs:=$(wildcard *.cpp)
targets:=$(objs:.cpp= )

.PHONY:all
all: $(targets)
.cpp:
	$(CC) $(CFLAGS) -std=c++11 -o $@ $<

## g00913.py
import math

pistr = '31415926535897932384626433832795028841971693993751058209749445923078164062862089986280348253421170679821480865132823066470938446095505822317253594081284811174502841027019385211055596446229489549303819644288109756659334461284756482337867831652712019091456485669234603486104543266482133936072602491412737245870066063155881748815209209628292540917153643678925903600113305305488204665213841469519415116094330572703657595919530921861173819326117931051185480744623799627495673518857527248912279381830119491298336733624406566430860213949463952247371907021798609437027705392171762931767523846748184676694051320005681271452635608277857713427577896091736371787214684409012249534301465495853710507922796892589235420199561121290219608640344181598136297747713099605187072113499999983729780499510597317328160963185950244594553469083026425223082533446850352619311881710100031378387528865875332083814206171776691473035982534904287554687311595628638823537875937519577818577805321712268066130019278766111959092164201989'

## epipolar.py
#coding:utf-8
import cv2
import numpy as np
from matplotlib import pyplot as plt

img1 = cv2.imread('./left.jpg',0)  #queryimage # left image
img2 = cv2.imread('./right.jpg',0) #trainimage # right image

sift = cv2.SIFT()

## Grab.cs
using UnityEngine;
using System.Collections;

public class Grab : MonoBehaviour {
	public OVRInput.Controller controller;
	// Use this for initialization
	private GameObject grabbedObject;
	private bool grabbing;

	public const float THRES_GRAB = 0.55f;
	import cv2
	import numpy as numpy
	import sys
	h = 512
	w = 512

	def nothing(x):
	pass

	cv2.namedWindow('lena')
	var sphere_r = 200;
	var phi=0,theta=0;

	function setup() {
	var canvas = createCanvas(windowWidth, windowHeight,WEBGL);
	canvas.parent("p5Canvas");
	resizeCanvas(windowWidth, windowHeight);
	basicMaterial(0,0,0);
	setupSphereShell();
	}
	# Calling Emotion APIs is
	# restricted to 20 transactions per minute
	# and 30,000 transactions per month.
	# 20 transactions per 60 seconds
	# 1 transaction per 3 seconds

	# python ms_emotion.py tani.jpg

	import httplib
	import urllib
	CC=g++
	CFLAGS=-Wall
	.SUFFIXES = .cpp
	objs:=$(wildcard *.cpp)
	targets:=$(objs:.cpp= )

	.PHONY:all
	all: $(targets)
	.cpp:
	$(CC) $(CFLAGS) -std=c++11 -o $@ $<
	import math

	pistr = '31415926535897932384626433832795028841971693993751058209749445923078164062862089986280348253421170679821480865132823066470938446095505822317253594081284811174502841027019385211055596446229489549303819644288109756659334461284756482337867831652712019091456485669234603486104543266482133936072602491412737245870066063155881748815209209628292540917153643678925903600113305305488204665213841469519415116094330572703657595919530921861173819326117931051185480744623799627495673518857527248912279381830119491298336733624406566430860213949463952247371907021798609437027705392171762931767523846748184676694051320005681271452635608277857713427577896091736371787214684409012249534301465495853710507922796892589235420199561121290219608640344181598136297747713099605187072113499999983729780499510597317328160963185950244594553469083026425223082533446850352619311881710100031378387528865875332083814206171776691473035982534904287554687311595628638823537875937519577818577805321712268066130019278766111959092164201989'
	#coding:utf-8
	import cv2
	import numpy as np
	from matplotlib import pyplot as plt

	img1 = cv2.imread('./left.jpg',0) #queryimage # left image
	img2 = cv2.imread('./right.jpg',0) #trainimage # right image

	sift = cv2.SIFT()
	using UnityEngine;
	using System.Collections;

	public class Grab : MonoBehaviour {
	public OVRInput.Controller controller;
	// Use this for initialization
	private GameObject grabbedObject;
	private bool grabbing;

	public const float THRES_GRAB = 0.55f;