b-r-o

import UIKit
import AVFoundation

protocol FrameExtractorDelegate: class {
    func captured(image: UIImage)
}

class FrameExtractor: NSObject, AVCaptureVideoDataOutputSampleBufferDelegate {
    
    private let position = AVCaptureDevicePosition.front

mGalarnyk

# Go to home directory
cd ~

# You can change what anaconda version you want at 
# https://repo.continuum.io/archive/
wget https://repo.continuum.io/archive/Anaconda3-5.0.1-Linux-x86_64.sh
bash Anaconda3-5.0.1-Linux-x86_64.sh -b -p ~/anaconda
rm Anaconda3-5.0.1-Linux-x86_64.sh
echo 'export PATH="~/anaconda/bin:$PATH"' >> ~/.bashrc 

raysegantii

1. install npm packages
2. update brunch-config.js
3. rename web/static/css/app.css to web/static/css/app.scss
4. update web/static/css/app.scss

rainabba

First, I should be clear that this was done on a G2 AWS instance and I started with working nvidia support by following http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/using_cluster_computing.html

From that (or if you're feeling more bold), the thing to take is getting the right binary install package and running it. Look at http://www.nvidia.com/object/unix.html and get the package you want (at the time, I'm using 'Latest Long Lived Branch version: 361.45.11'), then run the file you get. For example, sudo sh ./NVIDIA-Linux-x86_64-361.45.11.run.

I do not have time to test on a clean instance so you may need a bit more setup that I've not mentioned and I make no guarantees anyway since I hardly know what I'm doing here :)

The ffmpeg_build.sh script was mostly copy/paste from the guide at https://trac.ffmpeg.org/wiki/CompilationGuide/Centos and with significant help from folks on FreeNode #ffmpeg (notably furq and JEEB though there were others).

The steps for adding OpenCL headers support was borrowed

otraore

package main

import (
	"github.com/gin-gonic/contrib/sessions"
	"github.com/gin-gonic/gin"
	"log"
	"net/http"
	"strings"
)

erica

import Cocoa

// Support Foundation calls on String
public extension String { public var ns: NSString {return self as NSString} }

/// Custom Labeled Playground-Based Drag-and-Drop window
public class DropView: NSTextField {
    
    // Default action handler
    public var handler: ([String]) -> Void = { paths in Swift.print(paths) }

cendaar

//: Playground - noun: a place where people can play

import UIKit
import XCPlayground

let containerView = UIView(frame: CGRect(x: 0.0, y: 0.0, width: 375.0, height: 667.0))

containerView.backgroundColor = UIColor.whiteColor()

let stackView = UIStackView()

garrytan

/** Adapted from http://leifdenby.svbtle.com/reactjs-and-browser-history-a-historyjs-mixin */

var HistoryJSMixin = {
  _historyjs_recoverState: function(state) {
    received_state_serialized = state.data;
    if (!$.isEmptyObject(received_state_serialized)) {
      if (this.deserializeState !== undefined) {
        received_state = this.deserializeState(received_state_serialized);
      }
      else {

irskep

func getUIImageForRGBAData(#width: UInt, #height: UInt, #data: NSData) -> UIImage? {
  let pixelData = data.bytes
  let bytesPerPixel:UInt = 4
  let scanWidth = bytesPerPixel * width

  let provider = CGDataProviderCreateWithData(nil, pixelData, height * scanWidth, nil)

  let colorSpaceRef = CGColorSpaceCreateDeviceRGB()
  var bitmapInfo:CGBitmapInfo = .ByteOrderDefault;
  bitmapInfo |= CGBitmapInfo(CGImageAlphaInfo.Last.rawValue)

belsrc

/**
 * Changes value to past tense.
 * Simple filter does not support irregular verbs such as eat-ate, fly-flew, etc.
 * http://jsfiddle.net/bryan_k/0xczme2r/
 *
 * @param {String} value The value string.
 */
Vue.filter('past-tense', function(value) {
  // Slightly follows http://www.oxforddictionaries.com/us/words/verb-tenses-adding-ed-and-ing
  var vowels = ['a', 'e', 'i', 'o', 'u'];