pixlab php
PixLab PHP Library 1.2 Release
This is the official pixlab php Client for the PixLab Machine Vision API. The client is a single PHP class which let you interact with the API server using the GET and POST HTTP methods.
For the full list of samples using this class, please refer to:
require_once "pixlab.php";
# Given a government issued passport document, extract the user face and parse all MRZ fields.
#
# PixLab recommend that you connect your AWS S3 bucket via your dashboard at https://pixlab.io/dashboard
# so that any cropped face or MRZ crop is stored automatically on your S3 bucket rather than the PixLab one.
# This feature should give you full control over your analyzed media files.
#
# https://pixlab.io/cmd?id=docscan for additional information.
/* Passport prototype: Of course, replace with a real government issued passport if you
* want to deal with a real world situation.
*/
$passport = 'https://i.stack.imgur.com/oJY2K.png';
# Your PixLab key
$key = 'PIXLAB_API_KEY';
/* Process */
$pix = new Pixlab($key);
if( !$pix->get('docscan',[
'img' => $passport, /* Passport scanned image */
'type' => 'passport' /* Type of document we are going to scan */
]) ){
echo $pix->get_error_message()."n";
die;
}
/* Output the scan result */
echo "User Cropped Face: " . $pix->json->face_url . "n";
echo "MRZ Cropped Image: " . $pix->json->mrz_img_url . "n";
echo "Raw MRZ Text: " . $pix->json->mrz_raw_text . "n";
echo "MRZ Fields:n";
/* Display all parsed MRZ fields */
echo "tIssuing Country: " . $pix->json->fields->issuingCountry . "n";
echo "tFull Name: " . $pix->json->fields->fullName . "n";
echo "tDocument Number: " . $pix->json->fields->documentNumber . "n";
echo "tCheck Digit: " . $pix->json->fields->checkDigit . "n";
echo "tNationality: " . $pix->json->fields->nationality . "n";
echo "tDate Of Birth: " . $pix->json->fields->dateOfBirth . "n";
echo "tSex: " . $pix->json->fields->sex . "n";
echo "tDate Of Expiry: " . $pix->json->fields->dateOfExpiry . "n";
echo "tPersonal Number: " . $pix->json->fields->personalNumber . "n";
echo "tFinal Check Digit: " . $pix->json->fields->finalcheckDigit . "n";require_once "pixlab.php";
/*
* Detect all human faces in a given image or video frame via `facedetect` and blur all of them via `mogrify`.
* https://pixlab.io/#/cmd?id=facedetect & https://pixlab.io/#/cmd?id=mogrify for additional information.
*/
# Target Image: Feel free to change to whatever image holding faces you want
$img = 'http://cf.broadsheet.ie/wp-content/uploads/2015/03/jeremy-clarkson_3090507b.jpg';
$key = 'My_Pix_Key';
$pix = new Pixlab($key);
echo "Detecting faces first...n";
/* Invoke facedetect first */
if( !$pix->get('facedetect',array('img' => $img)) ){
echo $pix->get_error_message();
die;
}
/* Grab the total number of detected faces */
$faces = $pix->json->faces;
if( count($faces) < 1 ){
echo "No human faces were were detected on this picturen";
}else{
echo "Total number of detected faces: ".count($faces)."n";
echo "Censuring faces...n";
/* Call mogrify (Only POST) */
if( !$pix->post('mogrify',array('img' => $img,'cord' => $faces)) ){
echo $pix->get_error_message();
}else{
echo "Censured Faces: ".$pix->json->link."n";
}
}/*
* pixlab php Client which is just a single class PHP file without any dependency that you can get from Github
* https://github.com/symisc/pixlab-php
*/
require_once "pixlab.php";
# Detect all human faces & extract their landmark regions via facelandmarks & make a small Snapchat filter effect.
# Only three commands are actually needed in order to mimic the Snapchat filters effects:
# face landmarks: https://pixlab.io/#/cmd?id=facelandmarks
# smart resize: https://pixlab.io/#/cmd?id=smartresize
# merge: https://pixlab.io/#/cmd?id=merge
# Optionally: blur, grayscale, oilpaint, etc. for cool background effects.
$img = 'http://cf.broadsheet.ie/wp-content/uploads/2015/03/jeremy-clarkson_3090507b.jpg';
$pix = new Pixlab('My_Pix_Key');
/* Grab the face landmarks first */
if( !$pix->get('facelandmarks',[
'img' => $img
]) ){
echo $pix->get_error_message()."n";
die;
}
$total = count($pix->json->faces); # Total detected faces
print($total." faces were detectedn");
$snap = [];
# Iterate all over the detected faces
foreach ($pix->json->faces as $face){
$cord = $face->rectangle;
# Show the face coordinates
print ("Coordinates...n");
print ("ntwidth: " . $cord->width . ' height: ' . $cord->height . ' x: ' . $cord->left .' y: ' . $cord->top);
# Show landmarks:
print ("nLandmarks...n");
$landmarks = $face->landmarks;
print ("ntNose: X: " . $landmarks->nose->x . ", Y: ".$landmarks->nose->y);
print ("ntBottom Lip: X: " . $landmarks->bottom_lip->x. ", Y: ".$landmarks->bottom_lip->y);
print ("ntTop Lip: X: " . $landmarks->top_lip->x . ", Y: ".$landmarks->top_lip->y);
print ("ntChin: X: " . $landmarks->chin->x . ", Y: ".$landmarks->chin->y);
print ("ntBone Center: X: " . $landmarks->bone->center->x . ", Y: ".$landmarks->bone->center->y);
print ("ntBone Outer Left: X: " . $landmarks->bone->outer_left->x . ", Y: ".$landmarks->bone->outer_left->y);
print ("ntBone Outer Right: X: ". $landmarks->bone->outer_right->x. ", Y: ".$landmarks->bone->outer_right->y);
print ("ntBone Center: X: " . $landmarks->bone->center->x . ", Y: ".$landmarks->bone->center->y);
print ("ntEye Pupil Left: X: " . $landmarks->eye->pupil_left->x . ", Y: ".$landmarks->eye->pupil_left->y);
print ("ntEye Pupil Right: X: " . $landmarks->eye->pupil_right->x . ", Y: ".$landmarks->eye->pupil_right->y);
print ("ntEye Left Brown Inner: X: " . $landmarks->eye->left_brow_inner->x . ", Y: ".$landmarks->eye->left_brow_inner->y);
print ("ntEye Right Brown Inner: X: " . $landmarks->eye->right_brow_inner->x . ", Y: ".$landmarks->eye->right_brow_inner->y);
print ("ntEye Left Outer: X: " . $landmarks->eye->left_outer->x . ", Y: ".$landmarks->eye->left_outer->y);
print ("ntEye Right Outer: X: " . $landmarks->eye->right_outer->x . ", Y: ".$landmarks->eye->right_outer->y);
# More landmarks on the docs..
# Pick the last face in this loop for the sack of simplicity. Refer to the sample set for a complete example
$snap = $face;
}
# Make a quick Snapchat filter on top of the last detected face
if ($total < 1){
# No faces were detected
die;
}
# The flower crown to be composited on top of the target face
$flower = 'http://pixlab.xyz/images/flower_crown.png';
# Resize the flower crown which is quite big right now to exactly the face width using smart resize.
print ("nResizing the snap flower crown...n");
if( !$pix->get('smartresize',[
'img' => $flower,
'width' => 20 + $snap->rectangle->width, # Face width
'height' => 0 # Let Pixlab decide the best height for this picture
]) ){
echo $pix->get_error_message()."n";
}else{
$flower = $pix->json->link;
}
# Finally, Perform the composite operation
print ("Composite operation...n");
if( !$pix->post('merge',[
'src' => $img,
'cord' => [
array( /* Array for each landmarks */
'img' => $flower,
'x' => $snap->landmarks->bone->outer_left->x,
'y' => $snap->landmarks->bone->outer_left->y /* Adjust for optimal effect */
)
]]) ){
echo $pix->get_error_message();
}else{
# Optionally call blur, oilpaint, grayscale for more stuff..
print ("Snap Filter Effect: ".$pix->json->link);
}
echo "n";require_once "pixlab.php";
# Target Image: Change to any link (Possibly adult) you want or switch to POST if you want to upload your image directly.
# The target API endpoint we'll be using here: nsfw (https://pixlab.io/cmd?id=nsfw).
$img = 'https://i.redd.it/oetdn9wc13by.jpg';
# Your PixLab key
$key = 'My_Pixlab_Key';
# Blur an image based on its NSFW score
$pix = new Pixlab($key);
/* Invoke NSFW */
if( !$pix->get('nsfw',array('img' => $img)) ){
echo $pix->get_error_message();
die;
}
/* Grab the NSFW score */
$score = $pix->json->score;
if( $score < 0.5 ){
echo "No adult content were detected on this picturen";
}else{
echo "Censuring NSFW picture...n";
/* Call blur with the highest possible radius and sigma */
if( !$pix->get('blur',array('img' => $img,'rad' => 50,'sig' =>30)) ){
echo $pix->get_error_message();
}else{
echo "Censured Picture: ".$pix->json->link."n";
}
}
?>/*
* pixlab php Client which is just a single class PHP file without any dependency that you can get from Github
* https://github.com/symisc/pixlab-php
*/
require_once "pixlab.php";
# Given an image with human readable characters. Detect input language & extract text content from there.
# https://pixlab.io/#/cmd?id=ocr for additional information.
/* Target image with human readable text input */
$img = 'http://quotesten.com/wp-content/uploads/2016/06/Confucius-Quote.jpg';
# Your PixLab key
$key = 'My_PixLab_Key';
/* Process */
$pix = new Pixlab($key);
if( !$pix->get('ocr',array('img' => $img)) ){
echo $pix->get_error_message()."n";
die;
}
echo "Input language: ".$pix->json->lang;
echo "nText Output: ".$pix->json->output."n";
