function insert_urls($conn)
{
$target_url = $_POST['t_url'];
// t_url is taken from user input through the text box
$html = new simple_html_dom();
if (!$html->load_file($target_url)) {
$i = 1;
foreach ($html->find('img') as $image) {
$image_url = $image->src;
$pp_image = imagecreatefromstring(file_get_contents($image_url));
imagejpeg($pp_image, 'temp_images/img' . $i . '.jpeg');
// Saves the image as a jpeg file
$detector = new svay\FaceDetector('detection.dat');
if ($detector->faceDetect('temp_images/img' . $i . '.jpeg')) {
// If the detector detects a face
$sql = "INSERT INTO images (url) VALUES ('{$image_url}')";
// Insert that url into the database
$stmt = $conn->prepare($sql);
$stmt->execute();
}
$i++;
}
} else {
echo '<br /><div id="strongtext"><p><strong>Palun sisesta mõni muu aadress.</strong></p></div>';
var_dump($html->load_file($target_url));
}
$temp_files = glob('temp_images/*');
// After the foreach loop is done checking all of the images
foreach ($temp_files as $temp_file) {
if (is_file($temp_file)) {
unlink($temp_file);
}
}
echo '<script>alertFunction();</script>';
// Alert the user that the script has finished working
}
/**
* The callback ran in the async request to do the face detection.
*
* @access private
* @since 1.0
* @static
* @param array $atts The associative array that is passed to an instance of cnImage::get() when processing an immage.
* @param string $source The image URL or absolute path. NOTE: The onl valid pathhs will be: WP_CONTENT/UPLOADS or STYLESHEETPATH
* @param string $return What to return, @see cnImage::get()
*
* @return void
*/
public static function detect($atts, $source, $return)
{
if (!is_wp_error($info = cnImage::info($source))) {
$name = $info['basename'];
$cache = cnCache::get('face_detect', 'option-cache', 'cnfc');
$image = $cache != FALSE ? json_decode($cache, TRUE) : array();
if ($image == FALSE || (!isset($image[$name]) || $image[$name]['modified'] != $info['modified'])) {
if (!class_exists('svay\\FaceDetector')) {
include_once CNFD_PATH . 'vendor/facedetector/FaceDetector.php';
}
$detect = new svay\FaceDetector();
$detect->faceDetect($info['path']);
$coord = $detect->getFace();
if (!is_null($coord)) {
$atts['crop_focus'] = array(($coord['x'] + $coord['w'] / 2) / $info[0], $coord['y'] / $info[1]);
}
$image[$name]['path'] = $info['path'];
$image[$name]['modified'] = $info['modified'];
$image[$name]['mime'] = $info['mime'];
$image[$name]['width'] = $info[0];
$image[$name]['height'] = $info[1];
$image[$name]['face'] = $coord;
$image[$name]['crop_focus'] = $atts['crop_focus'];
if (!is_wp_error($result = cnImage::get($source, $atts))) {
cnCache::set('face_detect', json_encode($image), YEAR_IN_SECONDS, 'option-cache', 'cnfc');
}
}
}
}
<?php
include "FaceDetector.php";
$detector = new svay\FaceDetector('detection.dat');
$detector->faceDetect('lena512color.jpg');
$detector->toJpeg();
public function DetectFace()
{
$detector = new svay\FaceDetector();
$detector->faceDetect($this->owner->getFullPath());
return $detector->getFace();
}
