brendandawes

import dawesometoolkit.*;
import processing.pdf.*;

final String PROJECT = "project-x";
final int BACKGROUND_COLOR = #000000;
final int SECONDS_TO_CAPTURE = 60;
final int VIDEO_FRAME_RATE = 60;

int videoFramesCaptured = 0;
boolean recordVideo = false;

Zammy

//all params in normalized units
vec3 drawRect(in vec2 st,
              in vec2 center,
              in float width,
              in float height,
              in float thickness,
              in vec3 fillColor, 
              in vec3 strokeColor)
{
    vec3 color = vec3(0);

ayamflow

// Add on element with overflow
-webkit-mask-image: -webkit-radial-gradient(white, black);

CuriousGnu

import pycurl
import json
import time
from StringIO import StringIO

i = 0
bnums = []

while True :
	print(str(i))

iandanforth

How to capture WebGL/Canvas by piping data over a websocket.

This Gist builds on https://gist.github.com/unconed/4370822 from @unconed.

Instead of the original method which writes to the browsers sandboxed filesystem here we use a websocket connection provided by websocketd to pipe image data to a short python script that writes out the .png files to disk.

Install websocketd

sebmarkbage

import { Component } from "React";

export var Enhance = ComposedComponent => class extends Component {
  constructor() {
    this.state = { data: null };
  }
  componentDidMount() {
    this.setState({ data: 'Hello' });
  }
  render() {

bendc

// array utils
// =================================================================================================

const combine = (...arrays) => [].concat(...arrays);

const compact = arr => arr.filter(Boolean);

const contains = (() => Array.prototype.includes
  ? (arr, value) => arr.includes(value)
  : (arr, value) => arr.some(el => el === value)

sjwilliams

ffmpeg -i intro.mov -vf "boxblur=5:1" intro-blur.mov

elmariachi111

var R = require("request");

var key = process.env.TWITTER_CONSUMER_KEY;
var secret = process.env.TWITTER_CONSUMER_SECRET;
var cat = key +":"+secret;
var credentials = new Buffer(cat).toString('base64');

var url = 'https://api.twitter.com/oauth2/token';

R({ url: url,

brainix

class GoogleAnalytics
  @init: (webPropertyId) ->
    @_initQueue webPropertyId
    scriptTag = @_createScriptTag()
    @_injectScriptTag scriptTag
    true

  @_initQueue: (webPropertyId) ->
    window._gaq ?= []
    window._gaq.push ['_setAccount', webPropertyId]