bsergean

Aliased

Anti-aliased

Getting the code

tinusn

'use strict';
const electron = require('electron');
const nodeMuse = require("node-muse");
const Muse = nodeMuse.connect().Muse;
const OSC = nodeMuse.OSC;

const app = electron.app;  // Module to control application life.
const BrowserWindow = electron.BrowserWindow;  // Module to create native browser window.

// Report crashes to our server.

beeva-enriqueotero

# docker-neuraltalk2 demo with webcam support (Warning: docker-neuraltalk2 image size > 3GB)

# Launch interactive container:
docker run -i -t -p 8000:8000 --privileged -v /dev/video0:/dev/video0 beevaenriqueotero/docker-neuraltalk2 /bin/bash
# And then execute:
git clone https://github.com/Mithul/neuraltalk2.git neuraltalk2-camera
luarocks install camera
cd neuraltalk2-camera/vis
python -m SimpleHTTPServer &
cd ..

michidk

using System.Collections;
using System.Collections.Generic;

namespace Default   // or <Company>.(<Product>|<Technology>)[.<Feature>][.<Subnamespace>]
{
    public class Example
    {

        // first consts
        public const int TheAnswer = 42;

calderonsteven

#pragma strict
import SimpleJSON;

var currentImageIndex = 0;
var isWaiting = false;
var startRotation;

function Update(){
	//startRotation = transform.rotation;
	//transform.Rotate(Vector3(0,0,1));

auycro

//Copyright (c) 2015 Gumpanat Keardkeawfa
//Licensed under the MIT license

using System.IO;
using UnityEngine;
using UnityEditor;
using UnityEditor.Callbacks;
using UnityEditor.iOS.Xcode;
  
public static class XCodePostProcess

martinsik

import cv2
import time
import math
import numpy as np

capture = cv2.VideoCapture(0)
print capture.get(cv2.CAP_PROP_FPS)

t = 100
w = 640.0

radiatoryang

using UnityEngine;
using UnityEditor;
using System;
using System.Collections;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.IO;
using System.IO.Compression;
using Ionic.Zip; // this uses the Unity port of DotNetZip https://github.com/r2d2rigo/dotnetzip-for-unity

michidk

using UnityEngine;

public class Singleton<T> : MonoBehaviour where T : MonoBehaviour
{
    protected static T instance;

    /**
       Returns the instance of this singleton.
    */

karpathy

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)