WP File Manager

Name	Action
..
FaceDetector.php	Edit
centre_image.php	Edit
centre_image_lib.php	Edit
detection.dat	Edit
image_positionner_par_focus.php	Edit
image_positionner_par_focus_center.php	Edit

Editing: centre_image_lib.php

<?php /**************************************************************** Smart Cropping Class Copyright 2014 Greg Schoppe (GPL Licensed) http://gschoppe.com Patché par ARNO* Desc: Takes a GD2 image reference and a target width/height, and produces a cropped resized image that puts the focus of the image at or close to a rule of thirds line. NOTE: THIS CLASS IS A PROOF OF CONCEPT AND RUNS SLOWLY. BE SURE TO CACHE RESULTS AND, IF POSSIBLE RUN AS A CHRON, BACKGROUND OR AJAX SCRIPT. ****************************************************************/ class _centre_image { protected $img, $orig_w, $orig_h, $x, $y, $x_weight, $y_weight; /* constructor - initializes the object takes: $img - gd2 image resource */ function __construct($img) { $this->img = $img; $this->orig_w = imageSX($img); $this->orig_h = imageSY($img); } /* find_focus - identifies the focal point of an image, based on color difference and image entropy takes: $slices - integer representing precision of focal point. larger values are slower, but more precise (optional, defaults to 20) $weight - float between 0 and 1 representing weighting between entropy method (0) and color method (1) (optional, defaults to .5) $sample - integer representing the downsampled resolution of the image to test. larger values are slower, but more precise (optional, defaults to 200) */ public function find_focus() { // get a sample image to play with $temp = $this->rough_in_size(200, 200); $w = imagesx($temp); $h = imagesy($temp); $slices = 10; // smooth it a little to help reduce the effects of noise imagefilter($temp, IMG_FILTER_EDGEDETECT); imagefilter($temp, IMG_FILTER_GRAYSCALE); imagefilter($temp, IMG_FILTER_GAUSSIAN_BLUR); imagefilter($temp, IMG_FILTER_GAUSSIAN_BLUR); // get the mean color of the entire image // $avgColor = $this->average_color($temp,0,0,$w,$h); $left = $top = 0; //find the vertical focus position $sliceArray = array(); // -get the width of each horizontal slice $slice_y = round($h/$slices); for($i=0;$i<$slices;$i++) { // Ajouter une pondération dans 1/3 du haut // (le centre d'intérêt est plus souvent dans le haut de l'image) $pos = 1 - abs($i/$slices - 0.2)/1.5; // echo "[$pos]"; // uniquement dans la tranche focus_x trouvée précédemment // sinon on prend un x et un y qui ne concernent pas forcément le même endroit de l'image $sliceArray[$i] = $this->get_entropy($temp, 0, $i*$slice_y, $w, $slice_y, $pos); } // -get the array index of the best slice $focus_y = array_search(max($sliceArray), $sliceArray); // -get the pixel value corresponding with the center of that slice $y = ($focus_y + 0.5)*$slice_y/$h; //find the horizontal focus position $sliceArray = array(); // -get the width of each vertical slice $slice_x = round($w/$slices); for($i=0;$i<$slices;$i++) { $sliceArray[$i] = $this->get_entropy($temp, $i*$slice_x, $focus_y*$slice_y, $slice_x, $slice_y); } // -get the array index of the best slice $focus_x = array_search(max($sliceArray), $sliceArray); // -get the pixel value corresponding with the center of that slice $x = ($focus_x + 0.5)*$slice_x/$w; unset($sliceArray); //$y = 1 - $y; // set these values as the focus of the image return array("x"=>$x, "y"=>$y); } /* rough_in_size - PROTECTED resizes image proportionally, so that the given width and height are covered. */ protected function rough_in_size($newW, $newH) { $w = $this->orig_w; $h = $this->orig_h; // image must be valid if($w < 1 || $h < 1) return false; // first proportionally resize dimensions by width dimension $tempW = $newW; $tempH = intval(($h*$newW)/$w); // if it's too small, try resizing dimensions by height instead if($tempH<$newH) { $tempW = intval(($w*$newH)/$h); $tempH = $newH; } // if it's still too small for some reason, // just force dimensions to size (in case of rounding errors) if($tempW < $newW || $tempH < $newH) { $tempW = $newW; $tempH = $newH; } // make the resized image $temp = imagecreatetruecolor($tempW, $tempH); imagecopyresampled($temp, $this->img, 0, 0, 0, 0, $tempW, $tempH, $w, $h); return($temp); } /* get_entropy - PROTECTED gets the level of entropy present in a slice of an image */ protected function get_entropy($img, $sx=0, $sy=0, $w=null, $h=null, $ponderation = 1) { if($w == null) $w = imageSX($img)-$sx; if($h == null) $h = imageSY($img)-$sy; if($w < 1 || $h < 1) return false; $levels = array(); for($x=0;$x<$w;$x++) { for($y=0;$y<$h;$y++) { $color = @imagecolorat($img,$sx+$x,$sy+$y); $grayVal = ($color >> 16) & 0xFF; if(!isset($levels[$grayVal]))$levels[$grayVal]=0; $levels[$grayVal]++; } } // get entropy value from histogram $entropy = 0; foreach($levels as $level) { $pl = $level/($w*$h); $pl = $pl*log($pl); $entropy -= $pl; } //echo "<li>$sx, $sy, $w, $h, $ponderation - <b>$entropy</b></li>"; return($entropy * $ponderation); } }