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/* Copyright 2015 The TensorFlow Authors. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,

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# -*- coding: utf-8 -*-
import time
import datetime
import csv
import os 

def lat_lon(n):
    a,b=divmod(n,1)
    total=(a*100)+(b*60)
    return format(total, '.5f')

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import simplekml
import os

def kml_converter(inputfile,kml):
    f = open(inputfile,"r")
    for row in f:
        data=row.split(",")
        splitdata=data[0].split("\\")
        kml.newpoint(name=splitdata[6], coords=[(data[2],data[1])])
    

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# -*- coding: utf-8 -*-
import simplekml
import os

def kml_converter(inputfile,dirlist,filelist):
    f = open(inputfile,"r")
    kml=simplekml.Kml()
    for row in f:
        data=row.split(",")
        splitdata=data[0].split("\\")

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# -*- coding: utf-8 -*-

text = "127.1245143092074,37.48605020263803,0 127.1227918767437,37.48604832058984,0 127.1243979114171,37.48275282702311,0 127.1272652345932,37.47650564339881,0 127.1269005294987,37.47562108198129,0 127.1264902143204,37.47470615899766,0 127.1261222584311,37.47437246324513,0 127.126157672444,37.47371699021247,0 127.1257493554023,37.47291716136547,0 127.1254389085777,37.47213888086183,0 127.125117506637,37.47062544236839,0 127.1251423798022,37.46920765516041,0 127.1252461714744,37.46822418442232,0 127.1256680519576,37.46484452642618,0 127.1254663648703,37.46252995708048,0 127.1253955340772,37.45829374652769,0 127.1258727729014,37.45441627283644,0 127.1260535025414,37.44991980413442,0 127.1249501399596,37.44592241319028,0 127.1241308101934,37.44408589006341,0 127.123498216068,37.44253029858053,0 127.1229866609585,37.44132886161613,0 127.122682481901,37.43719912651704,0 127.1230781217638,37.43530852646552,0 127.1230777605002,37.43392112083875,0 127.1234248877856,37.43258926522761,0 127.123

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#include "stdafx.h"
#include <iostream>
#include <fstream>
#include <string>
#include <algorithm>
#include <iterator>
//#include "opencv2/imcodecs.hpp"
#include <sstream>

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int main(int argc, char** argv) {
	int frameidx, frametotal,fs;
	int count = 0;
	int	idx = 0;
	int idxrecord = 0;
	int framecount = 1;
	int gpsskip = 5;
	int divrange = 0;
	double firstsec, tempsec = 0;
	cout << fixed;

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int main(int argc, char *argv[]) {
	int frameidx;
	int blackframecnt = 0;
	VideoCapture capture("black.mp4");
	Mat frame;
	while (true) {
		if (!capture.read(frame)) {
			break;
		}
		Mat output(frame.size(), frame.type());

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int main(int argc, char** argv)
{
	VideoCapture capture("GOPR0632.MP4");
	Mat frame, result;
	while (true) {
		if (!capture.read(frame)) {
			break;
		}
		cv::GaussianBlur(frame, result, cv::Size(0, 0), 3);
		addWeighted(frame, 1.5, result, -0.5, 0, result);

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//Global variables
Mat src, img, image;

//int elem1 = 255;
int elem2 = 234;
int elem3 = 187;

/** @function main */
int main(int argc, char** argv)
{