/**
* Get faces
*
* @param string $file Picture filename
* @throws Horde_Exception
*/
protected function _getFaces($file)
{
if (!Horde_Util::loadExtension('facedetect')) {
throw new Ansel_Exception('You do not have the facedetect extension enabled in PHP');
}
return face_detect($file, $this->_defs);
}
/**
* Return all faces information in uploaded photo
*/
function doDetect()
{
$success = false;
$message = '';
$faces = array();
if (fileValidate($filepath, $error)) {
$success = true;
$faces = face_detect($filepath, 'opencv-2.4.10-haarcascades/' . FACEDETECT_HAARCASCADE_XML);
} else {
$message = $error;
}
$jsonData = array('success' => $success, 'message' => $message, 'faces' => $faces);
header('Content-type: application/json');
echo json_encode($jsonData);
}
/**
* getFaceListFromClassifier
*
* @param string $classifier
* @access protected
* @return array
*/
protected function getFaceListFromClassifier($classifier)
{
$faceList = face_detect($this->imagePath, __DIR__ . $classifier);
return $faceList;
}
/**
* Attempt to detect faces in image files (TIFF, JPEG, PNG) using OpenCV and the php-facedetect module
* If php-facedetect and/or OpenCV are not installed then function will return an empty array
*
* @param string $ps_filepath Path to image file to analyze
* @param int $pn_width Width of image
* @param int $pn_height Height of image
* @param array $pa_training_files Array of names of OpenCV facial recognition training file to use. Files are stored in <base_dir>/support/opencv. Default is a good general selection of training files. Omit the ".xml" extension when passing names.
*
* @return array An array of detected faces. Each entry is an array with x & y coordinate, and area width and heights.
*/
function caDetectFaces($ps_filepath, $pn_width, $pn_height, $pa_training_files = null)
{
$o_config = Configuration::load();
if (!$o_config->get('enable_face_detection_for_images')) {
return array();
}
if (!function_exists("face_detect")) {
return null;
}
// is php-facedetect installed? (http://www.xarg.org/project/php-facedetect/)
if (!$pa_training_files || !is_array($pa_training_files) || !sizeof($pa_training_files)) {
$pa_training_files = array('haarcascade_profileface', 'haarcascade_frontalface_alt');
}
foreach ($pa_training_files as $vs_training_file) {
$va_faces = face_detect($ps_filepath, __CA_BASE_DIR__ . "/support/opencv/{$vs_training_file}.xml");
if (!is_array($va_faces) || !sizeof($va_faces)) {
continue;
}
$va_filtered_faces = array();
if (($vn_width_threshold = (int) ($pn_width * 0.1)) < 50) {
$vn_width_threshold = 50;
}
if (($vn_height_threshold = (int) ($pn_height * 0.1)) < 50) {
$vn_height_threshold = 50;
}
foreach ($va_faces as $vn_i => $va_info) {
if ($va_info['w'] > $vn_width_threshold && $va_info['h'] > $vn_height_threshold) {
$va_filtered_faces[$va_info['w'] * $va_info['h'] + $vn_i * 0.1] = $va_info;
// key is total area of feature
}
}
if (!sizeof($va_filtered_faces)) {
continue;
}
// Sort so largest area is first; most probably feature of interest
ksort($va_filtered_faces, SORT_NUMERIC);
$va_filtered_faces = array_reverse($va_filtered_faces);
return $va_filtered_faces;
}
return array();
}
protected function getFaceListFromClassifier($classifier)
{
$faceList = face_detect($this->imagePath, Site::resolvePath('php-classes/stojg/crop' . $classifier)->RealPath);
return $faceList;
}
