gyurisc

// to run this use: https://jscomplete.com/repl
import React from 'react';
import { render } from 'react-dom';

const Card = (props) => {
  return (
    <div style={{margin: '1em'}}>
      <img width="75" src={props.avatar_url} />
      <div style={{display: 'inline-block', marginLeft: 10}}>
        <div style={{fontSize: '1.25em', fontWieght: 'bold'}}>

gyurisc

# Detecting Barcodes in Images with Python and OpenCV
# OpenCV 3.0 
# http://www.pyimagesearch.com/2014/11/24/detecting-barcodes-images-python-opencv/

import numpy as np 
import argparse 
import cv2

ap = argparse.ArgumentParser()
ap.add_argument("-i","--image", required = True, help="path to image file")

gyurisc

using System;
using System.Collections.Generic;
using System.Diagnostics;
using System.IO;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using ProtoBuf;

namespace TestProtoBufSerialization

gyurisc

# Add the alias below to ~/.bash_profile on a Mac
# Save the file and run: source ~/.bash_profile

# ASP.NET and Visual Studio Code on OS X

source dnvm.sh
export MONO_MANAGED_WATCHER=disabled
alias code='open $@ -a "Visual Studio Code"'

gyurisc

/* Flat Colors */

/* Greens */
.color-turquoise
{
  color: turquoise;
}

.color-green-sea
{

gyurisc

using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using iTextSharp.text.pdf;

namespace PDFExtract
{
    public class PDFExtractor
    {