pixlab php
PixLab PHP Library 1.2 Release
นี่คือไคลเอ็นต์ pixlab php อย่างเป็นทางการสำหรับ PixLab Machine Vision API ไคลเอนต์เป็นคลาส PHP เดียวที่ให้คุณโต้ตอบกับเซิร์ฟเวอร์ API โดยใช้วิธี GET และ POST HTTP
สำหรับรายชื่อตัวอย่างทั้งหมดที่ใช้คลาสนี้ โปรดดูที่:
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 "t Issuing Country: " . $ pix -> json -> fields -> issuingCountry . "n" ;
echo "t Full Name: " . $ pix -> json -> fields -> fullName . "n" ;
echo "t Document Number: " . $ pix -> json -> fields -> documentNumber . "n" ;
echo "t Check Digit: " . $ pix -> json -> fields -> checkDigit . "n" ;
echo "t Nationality: " . $ pix -> json -> fields -> nationality . "n" ;
echo "t Date Of Birth: " . $ pix -> json -> fields -> dateOfBirth . "n" ;
echo "t Sex: " . $ pix -> json -> fields -> sex . "n" ;
echo "t Date Of Expiry: " . $ pix -> json -> fields -> dateOfExpiry . "n" ;
echo "t Personal Number: " . $ pix -> json -> fields -> personalNumber . "n" ;
echo "t Final 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 picture n" ;
} 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 detected n" );
$ snap = [];
# Iterate all over the detected faces
foreach ( $ pix -> json -> faces as $ face ){
$ cord = $ face -> rectangle ;
# Show the face coordinates
print ( " Coordinates... n" );
print ( "nt width: " . $ cord -> width . ' height: ' . $ cord -> height . ' x: ' . $ cord -> left . ' y: ' . $ cord -> top );
# Show landmarks:
print ( "n Landmarks... n" );
$ landmarks = $ face -> landmarks ;
print ( "nt Nose: X: " . $ landmarks -> nose -> x . " , Y: " . $ landmarks -> nose -> y );
print ( "nt Bottom Lip: X: " . $ landmarks -> bottom_lip -> x . " , Y: " . $ landmarks -> bottom_lip -> y );
print ( "nt Top Lip: X: " . $ landmarks -> top_lip -> x . " , Y: " . $ landmarks -> top_lip -> y );
print ( "nt Chin: X: " . $ landmarks -> chin -> x . " , Y: " . $ landmarks -> chin -> y );
print ( "nt Bone Center: X: " . $ landmarks -> bone -> center -> x . " , Y: " . $ landmarks -> bone -> center -> y );
print ( "nt Bone Outer Left: X: " . $ landmarks -> bone -> outer_left -> x . " , Y: " . $ landmarks -> bone -> outer_left -> y );
print ( "nt Bone Outer Right: X: " . $ landmarks -> bone -> outer_right -> x . " , Y: " . $ landmarks -> bone -> outer_right -> y );
print ( "nt Bone Center: X: " . $ landmarks -> bone -> center -> x . " , Y: " . $ landmarks -> bone -> center -> y );
print ( "nt Eye Pupil Left: X: " . $ landmarks -> eye -> pupil_left -> x . " , Y: " . $ landmarks -> eye -> pupil_left -> y );
print ( "nt Eye Pupil Right: X: " . $ landmarks -> eye -> pupil_right -> x . " , Y: " . $ landmarks -> eye -> pupil_right -> y );
print ( "nt Eye Left Brown Inner: X: " . $ landmarks -> eye -> left_brow_inner -> x . " , Y: " . $ landmarks -> eye -> left_brow_inner -> y );
print ( "nt Eye Right Brown Inner: X: " . $ landmarks -> eye -> right_brow_inner -> x . " , Y: " . $ landmarks -> eye -> right_brow_inner -> y );
print ( "nt Eye Left Outer: X: " . $ landmarks -> eye -> left_outer -> x . " , Y: " . $ landmarks -> eye -> left_outer -> y );
print ( "nt Eye 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 ( "n Resizing 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 picture n" ;
} 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 "n Text Output: " . $ pix -> json -> output . "n" ;
