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# by pyimagesearch
# import the necessary packages
import numpy as np
import cv2

def order_points(pts):
	# initialzie a list of coordinates that will be ordered
	# such that the first entry in the list is the top-left,
	# the second entry is the top-right, the third is the
	# bottom-right, and the fourth is the bottom-left

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#include <queue>
#include <iostream>
#include <opencv2/opencv.hpp>
#include "dirent.h"

using namespace std;
using namespace cv;

int main(int, char** argv)
{

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var lt = document.getElementsByClassName("floatLeft");
for (var it of lt)
{
  var link = it.lastElementChild.href;
  var bkn = /bkn=([^&]*)&/.exec(link)[1];
  var fn = /=([^.]*)\.pdf/.exec(link)[1];
  it.lastElementChild.href= "/ebooks/"+bkn+"/"+fn+".pdf?bkn="+bkn+"&pdfType=chapter";
}

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javascript:(function () {
  var rl = document.getElementById("results-list");
  var tl = rl.getElementsByClassName("text");
  for (var t of tl)
  {
    var title = t.getElementsByClassName("title")[0];
    var subtitle = t.getElementsByClassName("subtitle")[0];
    var year = t.getElementsByClassName("year")[0];
    title.innerHTML += " " + subtitle.innerHTML + (subtitle.innerHTML ? " " : "") + year.innerHTML;
    title.href = title.href.replace(/\/book\//,"/content/pdf/") + ".pdf";

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f=(*.jpg)
i=({01..37})
for ((j=0; j<=${#f[@]}; j++))
do
  mv ${f[j]} ${i[j]}.jpg
done

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VideoCapture cap(path + "/%d.jpg");

while(cap.isOpened())
{
  Mat image;
  cap >> image;
  if(image.empty())
    break;
  /* image processing */
}

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/*
histogram sort, from vlfeat/mser.c
*/
 /* -----------------------------------------------------------------
   *                                          Sort pixels by intensity
   * -------------------------------------------------------------- */

  {
    vl_uint buckets [ VL_MSER_PIX_MAXVAL ] ;

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/* from vlfeat/mser.c
print: 
-1 -1 -1
 0 -1 -1
 1 -1 -1
 .......
 -1 1 1
  0 1 1
  1 1 1
*/