php gd image png watermark on jpg file produces weird result - php

Trying to add a transparent PNG watermark to jpg images get's me different results either if i'm on localhost or production server.
Here's the results...
On my localhost (PHP Version 5.6.24)
On production server (PHP Version 5.5.9-1ubuntu4.21)
I don't even know what to call this problem of the blue color turning pink and the logo doesn't get correctly rendered...
The code is this:
function getBrightness($gdHandle) {
$width = imagesx($gdHandle);
$height = imagesy($gdHandle);
$totalBrightness = 0;
for ($x = 0; $x < $width; $x++) {
for ($y = 0; $y < $height; $y++) {
$rgb = imagecolorat($gdHandle, $x, $y);
$red = ($rgb >> 16) & 0xFF;
$green = ($rgb >> 8) & 0xFF;
$blue = $rgb & 0xFF;
$totalBrightness += (max($red, $green, $blue) + min($red, $green, $blue)) / 2;
}
}
// imagedestroy($gdHandle);
return ($totalBrightness / ($width * $height)) / 2.55;
}
function render_text_on_gd_image(&$source_gd_image, $text, $font, $size, $color, $opacity, $rotation, $bpx, $bpy, $wnewx) {
$source_width = imagesx($source_gd_image);
$source_height = imagesy($source_gd_image);
$bb = imagettfbbox($size, $rotation, $font, $text);
$x0 = min($bb[0], $bb[2], $bb[4], $bb[6]);
$x1 = max($bb[0], $bb[2], $bb[4], $bb[6]);
$y0 = min($bb[1], $bb[3], $bb[5], $bb[7]);
$y1 = max($bb[1], $bb[3], $bb[5], $bb[7]);
$bb_width = abs($x1 - $x0);
$bb_height = abs($y1 - $y0);
$alpha_color = imagecolorallocatealpha(
$source_gd_image,
hexdec(substr($color, 0, 2)),
hexdec(substr($color, 2, 2)),
hexdec(substr($color, 4, 2)),
127 * (100 - $opacity) / 100
);
return imagettftext($source_gd_image, $size, $rotation, $bpx + $wnewx/2 - $bb_width/2 , $bpy, $alpha_color, $font, $text);
}
$val = array();
//$val["displayName"] = "Administrador";
$val["displayName"] = "Afonso Ferreira Gomes";
$val["relFile"] = "imagem.jpg";
list($val["width_original"], $val["height_original"]) = getimagesize($val["relFile"]);
if ($val["width_original"] > $val["height_original"] && $val["width_original"] >= 1200) {
$val["height_resized"] = $val["height_original"] * (1200/$val["width_original"]);
$val["width_resized"] = 1200;
} elseif ($val["height_original"] > $val["width_original"] && $val["height_original"] >= 1200) {
$val["height_resized"] = 1200;
$val["width_resized"] = (1200/$val["height_original"]) * $val["width_original"];
} else {
$val["height_resized"] = $val["height_original"];
$val["width_resized"] = $val["width_original"];
}
$i = imagecreatefromjpeg($val["relFile"]);
$i = imagescale($i, $val["width_resized"], $val["height_resized"]);
$val["width_new"] = imagesx($i);
$val["height_new"] = imagesy($i);
if ($val["width_new"] < $val["height_new"]) {
$val["portait"] = true;
$val["smallest"] = $val["width_new"];
} else {
$val["portait"] = false;
$val["smallest"] = $val["height_new"];
}
/* GERAR WATERMARK LOGOTIPO */
$val["racio"] = 0.20;
$val["marLeft"] = 40;
$val["marBottom"] = 40;
$val["bright"] = getBrightness($i);
if ($val["bright"] < 30) {
$val["opacidade"] = 20;
} else {
$val["opacidade"] = 40;
}
$w = imagecreatefrompng("jbw_260_40.png");
if ($val["portait"]) {
$val["water_width"] = $val["width_new"] * $val["racio"];
$val["water_height"] = $val["width_new"] * $val["racio"];
} else {
$val["water_width"] = $val["height_new"] * $val["racio"];
$val["water_height"] = $val["height_new"] * $val["racio"];
}
$wnew = imagescale($w, $val["water_width"], $val["water_height"]);
$val["water_width"] = imagesx($wnew);
$val["water_height"] = imagesy($wnew);
/* GERAR WATERMARK TEXTO AUTOR */
if ($val["displayName"] == "Administrador") {
$val["autor"] = "";
$val["marBottom"] = 20;
$val["marLeft"] = 20;
} else {
$val["autor"] = $val["displayName"];
}
// PRIMEIRO E ULTIMO NOME SÓ!!
$autorNomes = explode(" ", $val["autor"]);
if (count($autorNomes) >= 2) {
$val["autor"] = $autorNomes[0] . " " . $autorNomes[count($autorNomes) - 1];
} else {
$val["autor"] = $autorNomes[0];
}
$font = "../font/Montserrat.ttf";
$color = "FFFFFF";
$flagSize = false;
$val["fontSize"] = 12;
for ($size = 7; $size <= 50; $size += 0.5) {
$bb = imagettfbbox($size, 0, $font, $val["autor"]);
$x0 = min($bb[0], $bb[2], $bb[4], $bb[6]);
$x1 = max($bb[0], $bb[2], $bb[4], $bb[6]);
$y0 = min($bb[1], $bb[3], $bb[5], $bb[7]);
$y1 = max($bb[1], $bb[3], $bb[5], $bb[7]);
$val["bbox_width"] = abs($x1 - $x0);
$val["bbox_height"] = abs($y1 - $y0);
if (($val["bbox_width"] >= $val["water_width"] && !$flagSize) || $size == 50) {
$val["fontSize"] = $size;
$flagSize = true;
break;
}
}
$val["posY_water"] = $val["height_new"] - $val["water_height"] - $val["marBottom"];
$val["posY_text"] = $val["height_new"] - $val["marBottom"] + $val["bbox_height"] - 5;
imagecopy($i, $wnew, $val["marLeft"], $val["posY_water"] , 0, 0, $val["water_width"], $val["water_height"]);
render_text_on_gd_image($i, $val["autor"], $font, $val["fontSize"], $color, $val["opacidade"] ,0 , $val["marLeft"] , $val["posY_text"], $val["water_width"]);
// echo "<pre>"; print_r($val); echo "</pre>"; die;
/* OUTPUT IMAGEM E LIMPA BUFFER */
header('Content-type: image/png');
imagepng($i);
imagedestroy($i);
imagedestroy($w);
And this are the gd section of phpinfo for localhost and production server
What am I missing? this is driving me insane!

Those issues almost always object to the alpha channel of either the source or destination not beeing preserved or the output not really beeing true color.
Try using the imagesavealpha() function and search for "alpha" in the comments of the PHP documentation because there are many people having solutions to similiar issues.
This comment might be helpful and is kinda what Esko said:
http://php.net/manual/en/function.imagecreatefrompng.php#90364
Basically it copies an image to a buffer using imagecreatetruecolor().

I'm having the same issue. The imageScale function in Ubuntu seems to turn greens and blues to pink. Solution could be to use imagecopyresampled and imagecreatetruecolor. However this solution is way slower.

Related

I am trying to execute this code using exec in php but no output at all

I am using ImageMagic for a project, Since i use windows i installed wamp, i want to convert some text into images, insert effects and make an animated gif out of it, i tried various folder options finally ended up with this, which does not work as well. Can someone help? the code which i am using right now is "D:\Program Files\EasyPHP\data\localweb\imgmgk\convert" -background "" -fill "#000" -font Arial -pointsize 12 label:" hi casino" "D:\Program Files\EasyPHP\data\localweb\files\bum.jpg" a link to ImageMagick http://www.imagemagick.org/script/convert.php
Try Imagick,
Imagick is a native php extension to create and modify images using the ImageMagick API.
ImageMagick is a software suite to create, edit, and compose bitmap images.. It can read, convert and write images in a variety of formats (over 100) including DPX, EXR, GIF, JPEG, JPEG-2000, PDF, PhotoCD, PNG, Postscript, SVG, and TIFF.
By using this, we have an example.
whirlyGif
function lerp($t, $a, $b)
{
return $a + ($t * ($b - $a));
}
class Dot
{
public function __construct($color, $sequence, $numberDots, $imageWidth, $imageHeight)
{
$this->color = $color;
$this->sequence = $sequence;
$this->numberDots = $numberDots;
$this->imageWidth = $imageWidth;
$this->imageHeight = $imageHeight;
if ($this->numberDots < 0) {
$this->numberDots = 0;
}
}
public function calculateFraction($frame, $maxFrames, $timeOffset, $phaseMultiplier, $phaseDivider)
{
$frame = -$frame;
$totalAngle = 2 * $phaseMultiplier;
$fraction = ($frame / $maxFrames * 2);
$fraction += $totalAngle * ($this->sequence / $this->numberDots);
if ($phaseDivider != 0) {
$fraction += (($this->sequence)) / ($phaseDivider);
}
$fraction += $timeOffset;
while ($fraction < 0) {
//fmod does not work 'correctly' on negative numbers
$fraction += 64;
}
$fraction = fmod($fraction, 2);
if ($fraction > 1) {
$unitFraction = 2 - $fraction;
}
else {
$unitFraction = $fraction;
}
return $unitFraction * $unitFraction * (3 - 2 * $unitFraction);
}
public function render(\ImagickDraw $draw, $frame, $maxFrames, $phaseMultiplier, $phaseDivider)
{
$innerDistance = 40;
$outerDistance = 230;
$sequenceFraction = $this->sequence / $this->numberDots;
$angle = 2 * M_PI * $sequenceFraction;
$trailSteps = 5;
$trailLength = 0.1;
$offsets = [
100 => 0,
];
for ($i=0; $i<=$trailSteps; $i++) {
$key = intval(50 * $i / $trailSteps);
$offsets[$key] = $trailLength * ($trailSteps - $i) / $trailSteps;
}
//TODO - using a pattern would make the circles look more natural
//$draw->setFillPatternURL();
foreach ($offsets as $alpha => $offset) {
$distanceFraction = $this->calculateFraction($frame, $maxFrames, $offset, $phaseMultiplier, $phaseDivider);
$distance = lerp($distanceFraction, $innerDistance, $outerDistance);
$xOffset = $distance * sin($angle);
$yOffset = $distance * cos($angle);
$draw->setFillColor($this->color);
$draw->setFillAlpha($alpha / 100);
$xOffset = $xOffset * $this->imageWidth / 500;
$yOffset = $yOffset * $this->imageHeight / 500;
$xSize = 4 * $this->imageWidth / 500;
$ySize = 4 * $this->imageHeight / 500;
$draw->circle(
$xOffset,
$yOffset,
$xOffset + $xSize,
$yOffset + $ySize
);
}
}
}
function whirlyGif($numberDots, $numberFrames, $loopTime, $backgroundColor, $phaseMultiplier, $phaseDivider)
{
$aniGif = new \Imagick();
$aniGif->setFormat("gif");
$width = 500;
$height = $width;
$numberDots = intval($numberDots);
if ($numberDots < 1) {
$numberDots = 1;
}
$maxFrames = $numberFrames;
$frameDelay = ceil($loopTime / $maxFrames);
$scale = 1;
$startColor = new \ImagickPixel('red');
$dots = [];
for ($i=0; $i<$numberDots; $i++) {
$colorInfo = $startColor->getHSL();
//Rotate the hue by 180 degrees
$newHue = $colorInfo['hue'] + ($i / $numberDots);
if ($newHue > 1) {
$newHue = $newHue - 1;
}
//Set the ImagickPixel to the new color
$color = new \ImagickPixel('#ffffff');
$colorInfo['saturation'] *= 0.95;
$color->setHSL($newHue, $colorInfo['saturation'], $colorInfo['luminosity']);
$dots[] = new Dot($color, $i, $numberDots, $width, $height);
}
for ($frame = 0; $frame < $maxFrames; $frame++) {
$draw = new \ImagickDraw();
$draw->setStrokeColor('none');
$draw->setFillColor('none');
$draw->rectangle(0, 0, $width, $height);
$draw->translate($width / 2, $height / 2);
foreach ($dots as $dot) {
/** #var $dot Dot */
$dot->render($draw, $frame, $maxFrames, $phaseMultiplier, $phaseDivider);
}
//Create an image object which the draw commands can be rendered into
$imagick = new \Imagick();
$imagick->newImage($width * $scale, $height * $scale, $backgroundColor);
$imagick->setImageFormat("png");
$imagick->setImageDispose(\Imagick::DISPOSE_PREVIOUS);
//Render the draw commands in the ImagickDraw object
//into the image.
$imagick->drawImage($draw);
$imagick->setImageDelay($frameDelay);
$aniGif->addImage($imagick);
$imagick->destroy();
}
$aniGif->setImageFormat('gif');
$aniGif->setImageIterations(0); //loop forever
$aniGif->mergeImageLayers(\Imagick::LAYERMETHOD_OPTIMIZEPLUS);
header("Content-Type: image/gif");
echo $aniGif->getImagesBlob();
}
The output will be
You can find more examples here
Sorted! Thanks a lot for helping me out.
There was one file which i could not get from the tutorial url, here is the alternate link.
http://windows.php.net/downloads/pecl/releases/imagick/3.1.2/php_imagick-3.1.2-5.5-ts-vc11-x86.zip

How to draw flat topped hex (title) image in PHP?

I am trying to draw a hex using PHP. I have been trying to follow the manual from http://www.redblobgames.com/grids/hexagons/ supporting myself with leland hex generation class (https://github.com/pushcx/leland/blob/master/class_hex_image.php).
Unluckily my "hex" looks like this:
Can you please advice what am I doing wrong or tell me how can I create a proper hex?
It seems to me that function which grabs hex corners does not work correctly:
function hex_corners($center, $size)
{
$points = array();
for($i=0; $i <= 5; $i++)
{
$deg = 60 * $i; // Oblicz kąt, w którym znajduje sie róg hexu
$rad = pi() / 180 * $deg; // Przelicz kąt na radiany
$points[$i] = array_push($points, $center['x'] + $this->size / 2 * cos($rad), $center['y'] + $this->size / 2 * sin($rad));
}
return($points);
}
but I have tried to mimic the one described in http://www.redblobgames.com/grids/hexagons/ manual:
function hex_corner(center, size, i):
var angle_deg = 60 * i
var angle_rad = PI / 180 * angle_deg
return Point(center.x + size * cos(angle_rad),
center.y + size * sin(angle_rad))
I am using the following draw function:
public function hex_draw($x, $y)
{
$this->hex = imagecreatetruecolor ($this->size , $this->size);
$center['x'] = $this->size / 2;
$center['y'] = $this->size / 2;
$blue = imagecolorallocate($this->hex, 0, 0, 255);
// Get points
$points = $this->hex_corners($center, $this->size);
//die($print_r($points);
imagefilledpolygon($this->hex, $points, count($points)/2, $blue);
// flush image
header('Content-type: image/png');
imagepng($this->hex);
imagedestroy($this->hex);
}
My error was trivial.
In line
$points[$i] = array_push($points, $center['x'] + $this->size / 2 * cos($rad), $center['y'] + $this->size / 2 * sin($rad));
there was unneeded [$i] which caused problems.
Hex may be properly generated using the following code:
<?php
class hexmapimage
{
private $size = 100;
private $hex;
public function hex_draw($x, $y)
{
$this->hex = imagecreatetruecolor ($this->size , $this->size);
$center['x'] = $this->size / 2;
$center['y'] = $this->size / 2;
$black = imagecolorallocate($this->hex, 0, 0, 0);
$blue = imagecolorallocate($this->hex, 0, 0, 255);
$transparent = imagecolortransparent ($this->hex, $black);
// Get points
$points = $this->hex_corners($center, $this->size);
imagefilledrectangle($this->hex, 0, 0, $this->size, $this->size, $transparent);
imagefilledpolygon($this->hex, $points, count($points)/2, $blue);
// flush image
header('Content-type: image/png');
imagepng($this->hex);
imagedestroy($this->hex);
}
/*
* $center = array(x coordinate of center of hex, y coordinate of center of hex)
* $size = int (size of hex)
*/
function hex_corners($center, $size)
{
$points = array();
for($i=0; $i <= 5; $i++)
{
$deg = 60 * $i; // Oblicz kąt, w którym znajduje sie róg hexu
$rad = deg2rad($deg); // Przelicz kąt na radiany
array_push($points, $center['x'] + $this->size / 2 * cos($rad), $center['y'] + $this->size / 2 * sin($rad));
}
return($points);
}
}
$hex = new hexmapimage();
$hex->hex_draw(0, 0);

Thumbnails with Face Detection in PHP

My objective with this script is to make smart thumbnails. In my demo package, I am using two scripts from different sources.
To crop thumbnails (Source) - It totally works like native wordpress thumbnails
Face Detection in PHP (Source)
I am using the Face Detection to get the desired coordinates (where the face is) and then feed the coordinates to the crop script to make a thumbnail.
The problem is, if the Face Detection script does not find a face, it'd just time-out with the time out error
Fatal error: Maximum execution time of 30 seconds exceeded in...
I do not know how to come around this issue.
Is there any way to limit the amount of time the face detector takes to detect? I mean, if not found in like 15 seconds, return null.
Here's the Face Detection code:
<?php
//
// This program is free software; you can redistribute it and/or
// modify it under the terms of the GNU General Public License
// as published by the Free Software Foundation; either version 2
// of the License, or (at your option) any later version.
//
// This program is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with this program; if not, write to the Free Software
// Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
//
// #Author Karthik Tharavaad
// karthik_tharavaad#yahoo.com
// #Contributor Maurice Svay
// maurice#svay.Com
namespace svay;
use Exception;
class FaceDetector
{
protected $detection_data;
protected $canvas;
protected $face;
private $reduced_canvas;
/**
* Creates a face-detector with the given configuration
*
* Configuration can be either passed as an array or as
* a filepath to a serialized array file-dump
*
* #param string|array $detection_data
*/
public function __construct($detection_data = 'detection.dat')
{
if (is_array($detection_data)) {
$this->detection_data = $detection_data;
return;
}
if (!is_file($detection_data)) {
// fallback to same file in this class's directory
$detection_data = dirname(__FILE__) . DIRECTORY_SEPARATOR . $detection_data;
if (!is_file($detection_data)) {
throw new \Exception("Couldn't load detection data");
}
}
$this->detection_data = unserialize(file_get_contents($detection_data));
}
public function faceDetect($file)
{
if (is_resource($file)) {
$this->canvas = $file;
} elseif (is_file($file)) {
//getting extension type (jpg, png, etc)
$type = explode(".", $file);
$ext = strtolower($type[sizeof($type)-1]);
$ext = (!in_array($ext, array("jpeg","png","gif"))) ? "jpeg" : $ext;
if ($ext == 'jpeg') {
$this->canvas = imagecreatefromjpeg($file);
} else if ($ext == 'png') {
$this->canvas = imagecreatefrompng($file);
} else if ($ext == 'gif') {
$this->canvas = imagecreatefromgif($file);
}
} else {
throw new Exception("Can not load $file");
}
$im_width = imagesx($this->canvas);
$im_height = imagesy($this->canvas);
//Resample before detection?
$diff_width = 320 - $im_width;
$diff_height = 240 - $im_height;
if ($diff_width > $diff_height) {
$ratio = $im_width / 320;
} else {
$ratio = $im_height / 240;
}
if ($ratio != 0) {
$this->reduced_canvas = imagecreatetruecolor($im_width / $ratio, $im_height / $ratio);
imagecopyresampled(
$this->reduced_canvas,
$this->canvas,
0,
0,
0,
0,
$im_width / $ratio,
$im_height / $ratio,
$im_width,
$im_height
);
$stats = $this->getImgStats($this->reduced_canvas);
$this->face = $this->doDetectGreedyBigToSmall(
$stats['ii'],
$stats['ii2'],
$stats['width'],
$stats['height']
);
if ($this->face['w'] > 0) {
$this->face['x'] *= $ratio;
$this->face['y'] *= $ratio;
$this->face['w'] *= $ratio;
}
} else {
$stats = $this->getImgStats($this->canvas);
$this->face = $this->doDetectGreedyBigToSmall(
$stats['ii'],
$stats['ii2'],
$stats['width'],
$stats['height']
);
}
return ($this->face['w'] > 0);
}
public function toJpeg()
{
$color = imagecolorallocate($this->canvas, 255, 0, 0); //red
imagerectangle(
$this->canvas,
$this->face['x'],
$this->face['y'],
$this->face['x']+$this->face['w'],
$this->face['y']+ $this->face['w'],
$color
);
header('Content-type: image/jpeg');
imagejpeg($this->canvas);
}
public function toJson()
{
return json_encode($this->face);
}
public function getFace()
{
return $this->face;
}
protected function getImgStats($canvas)
{
$image_width = imagesx($canvas);
$image_height = imagesy($canvas);
$iis = $this->computeII($canvas, $image_width, $image_height);
return array(
'width' => $image_width,
'height' => $image_height,
'ii' => $iis['ii'],
'ii2' => $iis['ii2']
);
}
protected function computeII($canvas, $image_width, $image_height)
{
$ii_w = $image_width+1;
$ii_h = $image_height+1;
$ii = array();
$ii2 = array();
for ($i=0; $i<$ii_w; $i++) {
$ii[$i] = 0;
$ii2[$i] = 0;
}
for ($i=1; $i<$ii_h-1; $i++) {
$ii[$i*$ii_w] = 0;
$ii2[$i*$ii_w] = 0;
$rowsum = 0;
$rowsum2 = 0;
for ($j=1; $j<$ii_w-1; $j++) {
$rgb = ImageColorAt($canvas, $j, $i);
$red = ($rgb >> 16) & 0xFF;
$green = ($rgb >> 8) & 0xFF;
$blue = $rgb & 0xFF;
$grey = (0.2989*$red + 0.587*$green + 0.114*$blue)>>0; // this is what matlab uses
$rowsum += $grey;
$rowsum2 += $grey*$grey;
$ii_above = ($i-1)*$ii_w + $j;
$ii_this = $i*$ii_w + $j;
$ii[$ii_this] = $ii[$ii_above] + $rowsum;
$ii2[$ii_this] = $ii2[$ii_above] + $rowsum2;
}
}
return array('ii'=>$ii, 'ii2' => $ii2);
}
protected function doDetectGreedyBigToSmall($ii, $ii2, $width, $height)
{
$s_w = $width/20.0;
$s_h = $height/20.0;
$start_scale = $s_h < $s_w ? $s_h : $s_w;
$scale_update = 1 / 1.2;
for ($scale = $start_scale; $scale > 1; $scale *= $scale_update) {
$w = (20*$scale) >> 0;
$endx = $width - $w - 1;
$endy = $height - $w - 1;
$step = max($scale, 2) >> 0;
$inv_area = 1 / ($w*$w);
for ($y = 0; $y < $endy; $y += $step) {
for ($x = 0; $x < $endx; $x += $step) {
$passed = $this->detectOnSubImage($x, $y, $scale, $ii, $ii2, $w, $width+1, $inv_area);
if ($passed) {
return array('x'=>$x, 'y'=>$y, 'w'=>$w);
}
} // end x
} // end y
} // end scale
return null;
}
protected function detectOnSubImage($x, $y, $scale, $ii, $ii2, $w, $iiw, $inv_area)
{
$mean = ($ii[($y+$w)*$iiw + $x + $w] + $ii[$y*$iiw+$x] - $ii[($y+$w)*$iiw+$x] - $ii[$y*$iiw+$x+$w])*$inv_area;
$vnorm = ($ii2[($y+$w)*$iiw + $x + $w]
+ $ii2[$y*$iiw+$x]
- $ii2[($y+$w)*$iiw+$x]
- $ii2[$y*$iiw+$x+$w])*$inv_area - ($mean*$mean);
$vnorm = $vnorm > 1 ? sqrt($vnorm) : 1;
$count_data = count($this->detection_data);
for ($i_stage = 0; $i_stage < $count_data; $i_stage++) {
$stage = $this->detection_data[$i_stage];
$trees = $stage[0];
$stage_thresh = $stage[1];
$stage_sum = 0;
$count_trees = count($trees);
for ($i_tree = 0; $i_tree < $count_trees; $i_tree++) {
$tree = $trees[$i_tree];
$current_node = $tree[0];
$tree_sum = 0;
while ($current_node != null) {
$vals = $current_node[0];
$node_thresh = $vals[0];
$leftval = $vals[1];
$rightval = $vals[2];
$leftidx = $vals[3];
$rightidx = $vals[4];
$rects = $current_node[1];
$rect_sum = 0;
$count_rects = count($rects);
for ($i_rect = 0; $i_rect < $count_rects; $i_rect++) {
$s = $scale;
$rect = $rects[$i_rect];
$rx = ($rect[0]*$s+$x)>>0;
$ry = ($rect[1]*$s+$y)>>0;
$rw = ($rect[2]*$s)>>0;
$rh = ($rect[3]*$s)>>0;
$wt = $rect[4];
$r_sum = ($ii[($ry+$rh)*$iiw + $rx + $rw]
+ $ii[$ry*$iiw+$rx]
- $ii[($ry+$rh)*$iiw+$rx]
- $ii[$ry*$iiw+$rx+$rw])*$wt;
$rect_sum += $r_sum;
}
$rect_sum *= $inv_area;
$current_node = null;
if ($rect_sum >= $node_thresh*$vnorm) {
if ($rightidx == -1) {
$tree_sum = $rightval;
} else {
$current_node = $tree[$rightidx];
}
} else {
if ($leftidx == -1) {
$tree_sum = $leftval;
} else {
$current_node = $tree[$leftidx];
}
}
}
$stage_sum += $tree_sum;
}
if ($stage_sum < $stage_thresh) {
return false;
}
}
return true;
}
}
Here's an example use:
include "facedetection/FaceDetector.php";
$detector = new svay\FaceDetector('detection.dat');
$detector->faceDetect($path);
$coord = $detector->getFace();
Any help or suggest other php thumbnails with face detection script.
Can you increase the time limit? You can use set_time_limit() or change your php.ini if you have access to it.
Also, how big is the detection.dat file? Loading the entire file in memory with file_get_contents() can take some time if the file is large.
Unless you mess up with the FaceDetection code (which is not recommended, unless you will never want to upgrade the library), you won't be able to stop the execution after 15 seconds. They don't provide any hooks where you could tell the script to stop.

Size and position of one image in another via PHP

I have two images(small and big). Big one contains a small one. Like if the small one is a photo and a big one is a page from the photo album.
How do I get coordinates of that small image in the big one using PHP? And also I need to know the size of that image in big one...so just a(x,y) coordinate of any angle and sizes of sides of that presentation of the small image...
(x,y, width, height)
I've already asked the question like that and got a brilliant answer (here) but I've forgot to mention over there that the size of a small image could be different from the the size of that image in the big image...
And also if it is possible to deal with a presentation of that small image in the big image can have something covering one of its angles... Like in this example:
Small image:
Big image:
Small image always has just a rectangular shape.
Alright, this answer does not perfectly answer the question, but it should give you a good start! I know I repeat myself in the code, but my goal was simply to get something working so you can build on it, this isn't production code!
Preconditions
Starting with the large picture:
We need to find as best as possible the position of this other picture:
I decided to break the process into many substeps, which you could improve or remove depending on what you want the code to do.
For testing purposes, I did test my algorithm on different input images so you'll see a variable defining what file to load...
We start with:
function microtime_float()
{
list($usec, $sec) = explode(" ", microtime());
return ((float)$usec + (float)$sec);
}
$time_start = microtime_float();
$largeFilename = "large.jpg";
$small = imagecreatefromjpeg("small.jpg");
$large = imagecreatefromjpeg($largeFilename);
and
imagedestroy($small);
imagedestroy($large);
$time_end = microtime_float();
echo "in " . ($time_end - $time_start) . " seconds\n";
To have a good idea on our performances. Luckily, most of the algorithm was pretty fast so I didn't have to optimize more.
Background Detection
I started by detecting the background color. I assumed that the background color would be the color most present in the picture. To do this, I only counted how many references of each color I could find in the large picture, sort it with decending values and took the first one as the background color (should allow the code to be adaptable if you changed the source pictures)
function FindBackgroundColor($image)
{
// assume that the color that's present the most is the background color
$colorRefcount = array();
$width = imagesx($image);
$height = imagesy($image);
for($x = 0; $x < $width; ++$x)
{
for($y = 0; $y < $height; ++$y)
{
$color = imagecolorat($image, $x, $y);
if(isset($colorRefcount[$color]))
$colorRefcount[$color] = $colorRefcount[$color] + 1;
else
$colorRefcount[$color] = 1;
}
}
arsort($colorRefcount);
reset($colorRefcount);
return key($colorRefcount);
}
$background = FindBackgroundColor($large); // Should be white
Partitionning
My first step was to try to find all the regions where non background pixels were. With a little padding, I was able to group regions into bigger regions (so that a paragraph would be a single region instead of multiple individual letters). I started with a padding of 5 and got good enough results so I stuck with it.
This is broken into multiple function calls, so here we go:
function FindRegions($image, $backgroundColor, $padding)
{
// Find all regions within image where colors are != backgroundColor, including a padding so that adjacent regions are merged together
$width = imagesx($image);
$height = imagesy($image);
$regions = array();
for($x = 0; $x < $width; ++$x)
{
for($y = 0; $y < $height; ++$y)
{
$color = imagecolorat($image, $x, $y);
if($color == $backgroundColor)
{
continue;
}
if(IsInsideRegions($regions, $x, $y))
{
continue;
}
$region = ExpandRegionFrom($image, $x, $y, $backgroundColor, $padding);
array_push($regions, $region);
}
}
return $regions;
}
$regions = FindRegions($large, $background, 5);
Here, we iterate on every pixel of the picture, if its background color, we discard it, otherwise, we check if its position is already present in a region we found, if that's the case, we skip it too. Now, if we didn't skip the pixel, it means that it's a colored pixel that should be part of a region, so we start ExpandRegionFrom this pixel.
The code to check if we're inside a region is pretty simple:
function IsInsideRegions($regions, $x, $y)
{
foreach($regions as $region)
{
if(($region["left"] <= $x && $region["right"] >= $x) &&
($region["bottom"] <= $y && $region["top"] >= $y))
{
return true;
}
}
return false;
}
Now, the expanding code will try to grow the region in each direction and will do so as long as it found new pixels to add to the region:
function ExpandRegionFrom($image, $x, $y, $backgroundColor, $padding)
{
$width = imagesx($image);
$height = imagesy($image);
$left = $x;
$bottom = $y;
$right = $x + 1;
$top = $y + 1;
$expanded = false;
do
{
$expanded = false;
$newLeft = ShouldExpandLeft($image, $backgroundColor, $left, $bottom, $top, $padding);
if($newLeft != $left)
{
$left = $newLeft;
$expanded = true;
}
$newRight = ShouldExpandRight($image, $backgroundColor, $right, $bottom, $top, $width, $padding);
if($newRight != $right)
{
$right = $newRight;
$expanded = true;
}
$newTop = ShouldExpandTop($image, $backgroundColor, $top, $left, $right, $height, $padding);
if($newTop != $top)
{
$top = $newTop;
$expanded = true;
}
$newBottom = ShouldExpandBottom($image, $backgroundColor, $bottom, $left, $right, $padding);
if($newBottom != $bottom)
{
$bottom = $newBottom;
$expanded = true;
}
}
while($expanded == true);
$region = array();
$region["left"] = $left;
$region["bottom"] = $bottom;
$region["right"] = $right;
$region["top"] = $top;
return $region;
}
The ShouldExpand methods could have been written in a cleaner fashion, but I went for something fast to prototype with:
function ShouldExpandLeft($image, $background, $left, $bottom, $top, $padding)
{
// Find the farthest pixel that is not $background starting at $left - $padding closing in to $left
for($x = max(0, $left - $padding); $x < $left; ++$x)
{
for($y = $bottom; $y <= $top; ++$y)
{
$pixelColor = imagecolorat($image, $x, $y);
if($pixelColor != $background)
{
return $x;
}
}
}
return $left;
}
function ShouldExpandRight($image, $background, $right, $bottom, $top, $width, $padding)
{
// Find the farthest pixel that is not $background starting at $right + $padding closing in to $right
$from = min($width - 1, $right + $padding);
$to = $right;
for($x = $from; $x > $to; --$x)
{
for($y = $bottom; $y <= $top; ++$y)
{
$pixelColor = imagecolorat($image, $x, $y);
if($pixelColor != $background)
{
return $x;
}
}
}
return $right;
}
function ShouldExpandTop($image, $background, $top, $left, $right, $height, $padding)
{
// Find the farthest pixel that is not $background starting at $top + $padding closing in to $top
for($x = $left; $x <= $right; ++$x)
{
for($y = min($height - 1, $top + $padding); $y > $top; --$y)
{
$pixelColor = imagecolorat($image, $x, $y);
if($pixelColor != $background)
{
return $y;
}
}
}
return $top;
}
function ShouldExpandBottom($image, $background, $bottom, $left, $right, $padding)
{
// Find the farthest pixel that is not $background starting at $bottom - $padding closing in to $bottom
for($x = $left; $x <= $right; ++$x)
{
for($y = max(0, $bottom - $padding); $y < $bottom; ++$y)
{
$pixelColor = imagecolorat($image, $x, $y);
if($pixelColor != $background)
{
return $y;
}
}
}
return $bottom;
}
Now, to see if the algorithm was succesful, I added some debug code.
Debug Rendering
I created a second image to store debug info and store it on disk so I could later see my progress.
Using the following code:
$large2 = imagecreatefromjpeg($largeFilename);
$red = imagecolorallocate($large2, 255, 0, 0);
$green = imagecolorallocate($large2, 0, 255, 0);
$blue = imagecolorallocate($large2, 0, 0, 255);
function DrawRegions($image, $regions, $color)
{
foreach($regions as $region)
{
imagerectangle($image, $region["left"], $region["bottom"], $region["right"], $region["top"], $color);
}
}
DrawRegions($large2, $regions, $red);
imagejpeg($large2, "regions.jpg");
I could validate that my partitioning code was doing a decent job:
Aspect Ratio
I decided to filter out some regions based on aspect ratio (the ratio between the width and the height). Other filtering could be applied such as average pixel color or something, but the aspect ratio check was very fast so I used it.
I simply defined a "window" where regions would be kept, if their aspect ration was between a minimum and maximum value;
$smallAspectRatio = imagesx($small) / imagesy($small);
function PruneOutWrongAspectRatio($regions, $minAspectRatio, $maxAspectRatio)
{
$result = array();
foreach($regions as $region)
{
$aspectRatio = ($region["right"] - $region["left"]) / ($region["top"] - $region["bottom"]);
if($aspectRatio >= $minAspectRatio && $aspectRatio <= $maxAspectRatio)
{
array_push($result, $region);
}
}
return $result;
}
$filterOnAspectRatio = true;
if($filterOnAspectRatio == true)
{
$regions = PruneOutWrongAspectRatio($regions, $smallAspectRatio - 0.1 * $smallAspectRatio, $smallAspectRatio + 0.1 * $smallAspectRatio);
DrawRegions($large2, $regions, $blue);
}
imagejpeg($large2, "aspectratio.jpg");
By adding the DrawRegions call, I now paint in blue the regions that are still in the list as potential positions:
As you can see, only 4 position remains!
Finding the Corners
We're almost done! Now, what I'm doing is looking at the colors in the four corners from the small picture, and try to find the best matching pixel in the corners of the remaining regions. This code has the most potential to fail so if you have to invest time in improving the solution, this code would be a good candidate.
function FindCorners($large, $small, $regions)
{
$result = array();
$bottomLeftColor = imagecolorat($small, 0, 0);
$blColors = GetColorComponents($bottomLeftColor);
$bottomRightColor = imagecolorat($small, imagesx($small) - 1, 0);
$brColors = GetColorComponents($bottomRightColor);
$topLeftColor = imagecolorat($small, 0, imagesy($small) - 1);
$tlColors = GetColorComponents($topLeftColor);
$topRightColor = imagecolorat($small, imagesx($small) - 1, imagesy($small) - 1);
$trColors = GetColorComponents($topRightColor);
foreach($regions as $region)
{
$bottomLeft = null;
$bottomRight = null;
$topLeft = null;
$topRight = null;
$regionWidth = $region["right"] - $region["left"];
$regionHeight = $region["top"] - $region["bottom"];
$maxRadius = min($regionWidth, $regionHeight);
$topLeft = RadialFindColor($large, $tlColors, $region["left"], $region["top"], 1, -1, $maxRadius);
$topRight = RadialFindColor($large, $trColors, $region["right"], $region["top"], -1, -1, $maxRadius);
$bottomLeft = RadialFindColor($large, $blColors, $region["left"], $region["bottom"], 1, 1, $maxRadius);
$bottomRight = RadialFindColor($large, $brColors, $region["right"], $region["bottom"], -1, 1, $maxRadius);
if($bottomLeft["found"] && $topRight["found"] && $topLeft["found"] && $bottomRight["found"])
{
$left = min($bottomLeft["x"], $topLeft["x"]);
$right = max($bottomRight["x"], $topRight["x"]);
$bottom = min($bottomLeft["y"], $bottomRight["y"]);
$top = max($topLeft["y"], $topRight["y"]);
array_push($result, array("left" => $left, "right" => $right, "bottom" => $bottom, "top" => $top));
}
}
return $result;
}
$closeOnCorners = true;
if($closeOnCorners == true)
{
$regions = FindCorners($large, $small, $regions);
DrawRegions($large2, $regions, $green);
}
I tried to find the matching color by increasing "radially" (its basically squares) from the corners until I find a matching pixel (within a tolerance):
function GetColorComponents($color)
{
return array("red" => $color & 0xFF, "green" => ($color >> 8) & 0xFF, "blue" => ($color >> 16) & 0xFF);
}
function GetDistance($color, $r, $g, $b)
{
$colors = GetColorComponents($color);
return (abs($r - $colors["red"]) + abs($g - $colors["green"]) + abs($b - $colors["blue"]));
}
function RadialFindColor($large, $color, $startx, $starty, $xIncrement, $yIncrement, $maxRadius)
{
$result = array("x" => -1, "y" => -1, "found" => false);
$treshold = 40;
for($r = 1; $r <= $maxRadius; ++$r)
{
$closest = array("x" => -1, "y" => -1, "distance" => 1000);
for($i = 0; $i <= $r; ++$i)
{
$x = $startx + $i * $xIncrement;
$y = $starty + $r * $yIncrement;
$pixelColor = imagecolorat($large, $x, $y);
$distance = GetDistance($pixelColor, $color["red"], $color["green"], $color["blue"]);
if($distance < $treshold && $distance < $closest["distance"])
{
$closest["x"] = $x;
$closest["y"] = $y;
$closest["distance"] = $distance;
break;
}
}
for($i = 0; $i < $r; ++$i)
{
$x = $startx + $r * $xIncrement;
$y = $starty + $i * $yIncrement;
$pixelColor = imagecolorat($large, $x, $y);
$distance = GetDistance($pixelColor, $color["red"], $color["green"], $color["blue"]);
if($distance < $treshold && $distance < $closest["distance"])
{
$closest["x"] = $x;
$closest["y"] = $y;
$closest["distance"] = $distance;
break;
}
}
if($closest["distance"] != 1000)
{
$result["x"] = $closest["x"];
$result["y"] = $closest["y"];
$result["found"] = true;
return $result;
}
}
return $result;
}
As you can see, I'm no PHP expert, I didn't know there was a built in function to get the rgb channels, oops!
Final Call
So now that the algorithm ran, let's see what it found using the following code:
foreach($regions as $region)
{
echo "Potentially between " . $region["left"] . "," . $region["bottom"] . " and " . $region["right"] . "," . $region["top"] . "\n";
}
imagejpeg($large2, "final.jpg");
imagedestroy($large2);
The output (which is pretty close to the real solution):
Potentially between 108,380 and 867,827
in 7.9796848297119 seconds
Giving this picture (the rectangle between 108,380 and 867,827 is drawn in green)
Hope this helps!
My solution work if there is no color (except white and black around the image, but you can modify the script to get it work differently)
$width = imagesx($this->img_src);
$height = imagesy($this->img_src);
// navigate through pixels of image
for ($y = 0; $y < $height; $y++) {
for ($x=0; $x < $width; $x++) {
list($r, $g, $b) = imagergbat($this->img_src, $x, $y);
$black = 0.1;
$white = 0.9;
// calculate if the color is next to white or black, if not register it as a good pixel
$gs = (($r / 3) + ($g / 3) + ($b / 3);
$first_pixel = array();
if ($gs > $white && $gs < $black) {
// get coordinate of first pixel (left top)
if (empty($first_pixel))
$first_pixel = array($x, $y);
// And save last_pixel each time till the last one
$last_pixel = array($x, $y);
}
}
}
And you get the coordinates of your image. You have just to crop it after this.

Face detection in PHP

Does anybody know of a good way to do face detection in PHP? I came across some code here that claims to do this, but I can't seem to get it to work properly. I'd like to make this work (even though it will be slow) and any help you can give me would be really appreciated.
Here's the code from the link:
<?php
// as published by the Free Software Foundation; either version 2
// of the License, or (at your option) any later version.
//
// This program is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with this program; if not, write to the Free Software
// Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
//
// #Author Karthik Tharavaad
// karthik_tharavaad#yahoo.com
// #Contributor Maurice Svay
// maurice#svay.Com
class Face_Detector {
protected $detection_data;
protected $canvas;
protected $face;
private $reduced_canvas;
public function __construct($detection_file = 'detection.dat') {
if (is_file($detection_file)) {
$this->detection_data = unserialize(file_get_contents($detection_file));
} else {
throw new Exception("Couldn't load detection data");
}
//$this->detection_data = json_decode(file_get_contents('data.js'));
}
public function face_detect($file) {
if (!is_file($file)) {
throw new Exception("Can not load $file");
}
$this->canvas = imagecreatefromjpeg($file);
$im_width = imagesx($this->canvas);
$im_height = imagesy($this->canvas);
//Resample before detection?
$ratio = 0;
$diff_width = 320 - $im_width;
$diff_height = 240 - $im_height;
if ($diff_width > $diff_height) {
$ratio = $im_width / 320;
} else {
$ratio = $im_height / 240;
}
if ($ratio != 0) {
$this->reduced_canvas = imagecreatetruecolor($im_width / $ratio, $im_height / $ratio);
imagecopyresampled($this->reduced_canvas, $this->canvas, 0, 0, 0, 0, $im_width / $ratio, $im_height / $ratio, $im_width, $im_height);
$stats = $this->get_img_stats($this->reduced_canvas);
$this->face = $this->do_detect_greedy_big_to_small($stats['ii'], $stats['ii2'], $stats['width'], $stats['height']);
$this->face['x'] *= $ratio;
$this->face['y'] *= $ratio;
$this->face['w'] *= $ratio;
} else {
$stats = $this->get_img_stats($this->canvas);
$this->face = $this->do_detect_greedy_big_to_small($stats['ii'], $stats['ii2'], $stats['width'], $stats['height']);
}
return ($this->face['w'] > 0);
}
public function toJpeg() {
$color = imagecolorallocate($this->canvas, 255, 0, 0); //red
imagerectangle($this->canvas, $this->face['x'], $this->face['y'], $this->face['x']+$this->face['w'], $this->face['y']+ $this->face['w'], $color);
header('Content-type: image/jpeg');
imagejpeg($this->canvas);
}
public function toJson() {
return "{'x':" . $this->face['x'] . ", 'y':" . $this->face['y'] . ", 'w':" . $this->face['w'] . "}";
}
public function getFace() {
return $this->face;
}
protected function get_img_stats($canvas){
$image_width = imagesx($canvas);
$image_height = imagesy($canvas);
$iis = $this->compute_ii($canvas, $image_width, $image_height);
return array(
'width' => $image_width,
'height' => $image_height,
'ii' => $iis['ii'],
'ii2' => $iis['ii2']
);
}
protected function compute_ii($canvas, $image_width, $image_height ){
$ii_w = $image_width+1;
$ii_h = $image_height+1;
$ii = array();
$ii2 = array();
for($i=0; $i<$ii_w; $i++ ){
$ii[$i] = 0;
$ii2[$i] = 0;
}
for($i=1; $i<$ii_w; $i++ ){
$ii[$i*$ii_w] = 0;
$ii2[$i*$ii_w] = 0;
$rowsum = 0;
$rowsum2 = 0;
for($j=1; $j<$ii_h; $j++ ){
$rgb = ImageColorAt($canvas, $j, $i);
$red = ($rgb >> 16) & 0xFF;
$green = ($rgb >> 8) & 0xFF;
$blue = $rgb & 0xFF;
$grey = ( 0.2989*$red + 0.587*$green + 0.114*$blue )>>0; // this is what matlab uses
$rowsum += $grey;
$rowsum2 += $grey*$grey;
$ii_above = ($i-1)*$ii_w + $j;
$ii_this = $i*$ii_w + $j;
$ii[$ii_this] = $ii[$ii_above] + $rowsum;
$ii2[$ii_this] = $ii2[$ii_above] + $rowsum2;
}
}
return array('ii'=>$ii, 'ii2' => $ii2);
}
protected function do_detect_greedy_big_to_small( $ii, $ii2, $width, $height ){
$s_w = $width/20.0;
$s_h = $height/20.0;
$start_scale = $s_h < $s_w ? $s_h : $s_w;
$scale_update = 1 / 1.2;
for($scale = $start_scale; $scale > 1; $scale *= $scale_update ){
$w = (20*$scale) >> 0;
$endx = $width - $w - 1;
$endy = $height - $w - 1;
$step = max( $scale, 2 ) >> 0;
$inv_area = 1 / ($w*$w);
for($y = 0; $y < $endy ; $y += $step ){
for($x = 0; $x < $endx ; $x += $step ){
$passed = $this->detect_on_sub_image( $x, $y, $scale, $ii, $ii2, $w, $width+1, $inv_area);
if( $passed ) {
return array('x'=>$x, 'y'=>$y, 'w'=>$w);
}
} // end x
} // end y
} // end scale
return null;
}
protected function detect_on_sub_image( $x, $y, $scale, $ii, $ii2, $w, $iiw, $inv_area){
$mean = ( $ii[($y+$w)*$iiw + $x + $w] + $ii[$y*$iiw+$x] - $ii[($y+$w)*$iiw+$x] - $ii[$y*$iiw+$x+$w] )*$inv_area;
$vnorm = ( $ii2[($y+$w)*$iiw + $x + $w] + $ii2[$y*$iiw+$x] - $ii2[($y+$w)*$iiw+$x] - $ii2[$y*$iiw+$x+$w] )*$inv_area - ($mean*$mean);
$vnorm = $vnorm > 1 ? sqrt($vnorm) : 1;
$passed = true;
for($i_stage = 0; $i_stage < count($this->detection_data); $i_stage++ ){
$stage = $this->detection_data[$i_stage];
$trees = $stage[0];
$stage_thresh = $stage[1];
$stage_sum = 0;
for($i_tree = 0; $i_tree < count($trees); $i_tree++ ){
$tree = $trees[$i_tree];
$current_node = $tree[0];
$tree_sum = 0;
while( $current_node != null ){
$vals = $current_node[0];
$node_thresh = $vals[0];
$leftval = $vals[1];
$rightval = $vals[2];
$leftidx = $vals[3];
$rightidx = $vals[4];
$rects = $current_node[1];
$rect_sum = 0;
for( $i_rect = 0; $i_rect < count($rects); $i_rect++ ){
$s = $scale;
$rect = $rects[$i_rect];
$rx = ($rect[0]*$s+$x)>>0;
$ry = ($rect[1]*$s+$y)>>0;
$rw = ($rect[2]*$s)>>0;
$rh = ($rect[3]*$s)>>0;
$wt = $rect[4];
$r_sum = ( $ii[($ry+$rh)*$iiw + $rx + $rw] + $ii[$ry*$iiw+$rx] - $ii[($ry+$rh)*$iiw+$rx] - $ii[$ry*$iiw+$rx+$rw] )*$wt;
$rect_sum += $r_sum;
}
$rect_sum *= $inv_area;
$current_node = null;
if( $rect_sum >= $node_thresh*$vnorm ){
if( $rightidx == -1 )
$tree_sum = $rightval;
else
$current_node = $tree[$rightidx];
} else {
if( $leftidx == -1 )
$tree_sum = $leftval;
else
$current_node = $tree[$leftidx];
}
}
$stage_sum += $tree_sum;
}
if( $stage_sum < $stage_thresh ){
return false;
}
}
return true;
}
}
Usage:
$detector = new Face_Detector('detection.dat');
$detector->face_detect('maurice_svay_150.jpg');
$detector->toJpeg();
The problem I am running into, seems to be coming up in the comments on that page as well. "imagecolorat() [function.imagecolorat]: 320,1 is out of bounds." So, I added a error_reporting(0) to the top of the file (not really the solution), and it seems to work sometimes while other times it just doesn't do anything.
Any thoughts?
It would probably be easier/safer to do this with OpenCV, which is written in lower-level code. PHP is interpreted, so it's likely going to be hella slow when doing the job.
Hope this helps!
You need to turn off error reporting
<?php
ini_set( 'display_errors', 1 );
error_reporting( E_ALL ^ E_NOTICE );
require_once('face_detector.php');
$detector = new Face_Detector('detection.dat');
$detector->face_detect('img/8.jpg');
$detector->toJpeg();
?>
The project has been upgraded on github repository by following this link Face detection
The problem was on the loop, this code works fine :
for ($i=1; $i<$ii_h-1; $i++) {
$ii[$i*$ii_w] = 0;
$ii2[$i*$ii_w] = 0;
$rowsum = 0;
$rowsum2 = 0;
for ($j=1; $j<$ii_w-1; $j++) {
$rgb = ImageColorAt($canvas, $j, $i);
$red = ($rgb >> 16) & 0xFF;
$green = ($rgb >> 8) & 0xFF;
$blue = $rgb & 0xFF;
$grey = (0.2989*$red + 0.587*$green + 0.114*$blue)>>0; // this is what matlab uses
$rowsum += $grey;
$rowsum2 += $grey*$grey;
$ii_above = ($i-1)*$ii_w + $j;
$ii_this = $i*$ii_w + $j;
$ii[$ii_this] = $ii[$ii_above] + $rowsum;
$ii2[$ii_this] = $ii2[$ii_above] + $rowsum2;
}
}
Good luck
Try removing the +1 from these lines:
$ii_w = $image_width+1;
$ii_h = $image_height+1;
This code is trying to check the colors from positions 1 to 320 instead of 0 to 319 in the 320 pixel image.
This is an old topic but still this fix is better than any I saw so far so, it might help someone
// Turn off error reporting...
$ctl = error_reporting();
error_reporting(0);
$detector = new Face_Detector('detection.dat');
$detector->face_detect('img/8.jpg');
$detector->toJpeg();
// Turn on reporting...if you wish
error_reporting($ctl);
Quick fix: in the compute_ii function
Replace:
$rgb = ImageColorAt($canvas, $j, $i);
With:
$rgb = ImageColorAt($canvas, $j-1, $i-1);

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