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cascade.php
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cascade.php
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<?php
ini_set('max_execution_time', 300);
use CV\CascadeClassifier;
use CV\Face\FacemarkLBF;
use CV\Face\LBPHFaceRecognizer;
use CV\Scalar;
use CV\Size;
use function CV\{bilateralFilter,
blur,
circle,
cvtColor,
equalizeHist,
imread,
imwrite,
medianBlur,
rectangleByRect,
resize};
use const CV\{COLOR_BGR2GRAY, CV_HAAR_DO_ROUGH_SEARCH};
//trainFolder();
//Folderi
$ulaz = 'slike/';
$izlaz = 'tmp/';
$anotacija = 'anotacija/';
$input = filter_input(INPUT_POST, 'slika');
$mod = filter_input(INPUT_POST, 'model');
$trainModel = filter_input(INPUT_POST, 'train_model');
$train = filter_input(INPUT_POST, 'train', FILTER_VALIDATE_INT);
$file = array_diff(scandir('train'), array('..', '.'));
$src = imread($ulaz . $input);
//detekcija lica pomocu kaskadnog klasifikatora
$faceClassifier = new CascadeClassifier();
$faceClassifier->load('modeli/lbpcascades/' . $mod);
//LBPHFaceRecognizer
if ($trainModel == true):
$faceRecognizer = LBPHFaceRecognizer::create();
endif;
//konvertovanje slike u sivu
$gray = cvtColor($src, COLOR_BGR2GRAY);
//Histogram
equalizeHist($gray, $gray);
//detektovanje lica
$faceClassifier->detectMultiScale($gray, $faces, 1.1, 3, CV_HAAR_DO_ROUGH_SEARCH, new Size(50, 50));
$faceImages = $faceLabels = [];
if ($faces) {
$facemark = FacemarkLBF::create();
$facemark->loadModel('modeli/opencv-facemark-lbf/lbfmodel.yaml');
$facemark->fit($src, $faces, $landmarks);
if ($landmarks) {
$scalar = new Scalar(0, 0, 255);
foreach ($landmarks as $face) {
foreach ($face as $k => $point) {//var_export($point);
circle($src, $point, 2, $scalar, 2);
}
}
}
//Treniranje objekta
$MyFace = null;
if ($trainModel == true):
foreach ($faces as $k => $face) {
$faceImages[] = $gray->getImageROI($face); // face coordinates to image
$faceLabels[] = $train;
}
$faceRecognizer->read("trenirani_model" . DIRECTORY_SEPARATOR . "train.yml");
$faceRecognizer->update($faceImages, $faceLabels);
$faceRecognizer->write("trenirani_model" . DIRECTORY_SEPARATOR . "train.yml");
endif;
$facett = null;
foreach ($faces as $k => $face):
$facett = $gray->getImageROI($face); // face coordinates to image
endforeach;
$scalar = new Scalar(0, 0, 255);
//anotacije na detektovanom licu
foreach ($faces as $face) {
$data['x'] .= 'x:' . $face->x . ';';
$data['y'] .= 'y:' . $face->y . ';';
$data['width'] .= 'width:' . $face->width . ';';
$data['height'] .= 'height:' . $face->height . ';' . PHP_EOL;
file_put_contents($anotacija . strtok($input, '.') . '.txt', $data);
rectangleByRect($src, $face, $scalar, 2);
}
}
if (file_exists($izlaz . $input)):
unlink($izlaz . $input);
endif;
imwrite($izlaz . $input, $src);
?>
<!doctype html>
<html lang="bs-BA">
<head>
<!-- Required meta tags -->
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
<!-- Bootstrap CSS -->
<link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.1.3/css/bootstrap.min.css"
integrity="sha384-MCw98/SFnGE8fJT3GXwEOngsV7Zt27NXFoaoApmYm81iuXoPkFOJwJ8ERdknLPMO" crossorigin="anonymous">
<link href="sticky-footer.css" rel="stylesheet">
<title>POOS!</title>
</head>
<body>
<nav class="navbar navbar-expand-lg navbar-light bg-light">
<div class="collapse navbar-collapse" id="navbarNav">
<ul class="navbar-nav">
<li class="nav-item active">
<a class="nav-link" href="/">Naslovna <span class="sr-only">(current)</span></a>
</li>
</div>
</nav>
<!-- Begin page content -->
<main role="main" class="container">
<h1 class="mt-5">POOS, Projekat Face detection&recognition</h1>
<p class="lead">PHP 7.2, OpenCV 3.5</p>
<?php
?>
</main>
<div class="container">
<div class="row">
<div class="col">
<h5>Model: <?= $mod ?></h5>
</div>
</div>
<div class="row">
<div class="col">
<h4>Ulaz</h4>
<img src="<?= $ulaz . $input ?>" class="img-fluid img-thumbnail" alt="Ulaz">
</div>
<div class="col">
<h4>Izlaz</h4>
<img src="<?= $izlaz . $input ?>" class="img-fluid img-thumbnail" alt="Izlaz">
</div>
</div>
</div>
<footer class="footer">
<div class="container">
<span class="text-muted">© 2018 Begić Fuad, Ahetmović Selma</span>
</div>
</footer>
</body>
</html>