MOGRIFY API Endpoint

const img = 'http://anewscafe.com/wp-content/uploads/2012/05/Brave-Faces-Group-shot.jpg';
const pixKey = 'PIXLAB_API_KEY';

fetch(`https://api.pixlab.io/facedetect?img=${encodeURIComponent(img)}&key=${pixKey}`)
    .then(response => response.json())
    .then(reply => {
        if (reply.status !== 200) {
            console.log(reply.error);
            return;
        }

        const total = reply.faces ? reply.faces.length : 0;
        console.log(`${total} face(s) were detected`);
        if (total < 1) {
            return;
        }

        const coordinates = reply.faces;
        return fetch('https://api.pixlab.io/mogrify', {
            method: 'POST',
            headers: {
                'Content-Type': 'application/json'
            },
            body: JSON.stringify({
                img: img,
                key: pixKey,
                cord: coordinates
            })
        });
    })
    .then(response => response && response.json())
    .then(reply => {
        if (!reply) return;
        if (reply.status !== 200) {
            console.log(reply.error);
        } else {
            console.log("Face blurred picture location: " + reply.ssl_link);
        }
    })
    .catch(error => console.error('Error:', error));

php
<?php
$img = 'http://anewscafe.com/wp-content/uploads/2012/05/Brave-Faces-Group-shot.jpg';
$key = 'PIXLAB_API_KEY';

// First step: Detect faces with facedetect
$ch = curl_init();
curl_setopt($ch, CURLOPT_URL, 'https://api.pixlab.io/facedetect?img=' . urlencode($img) . '&key=' . urlencode($key));
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
$response = curl_exec($ch);
curl_close($ch);

$reply = json_decode($response, true);
if ($reply['status'] != 200) {
    die($reply['error']);
}

$total = count($reply['faces']);
echo "{$total} face(s) were detected\n";
if ($total < 1) {
    exit();
}

// Second step: Blur detected faces with mogrify
$data = [
    'img' => $img,
    'key' => $key,
    'cord' => $reply['faces']
];

$ch = curl_init();
curl_setopt($ch, CURLOPT_URL, 'https://api.pixlab.io/mogrify');
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($data));
curl_setopt($ch, CURLOPT_HTTPHEADER, ['Content-Type: application/json']);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
$response = curl_exec($ch);
curl_close($ch);

$reply = json_decode($response, true);
if ($reply['status'] != 200) {
    die($reply['error']);
} else {
    echo "Face blurred picture location: " . $reply['ssl_link'];
}

require 'net/http'
require 'uri'
require 'json'

img = 'http://anewscafe.com/wp-content/uploads/2012/05/Brave-Faces-Group-shot.jpg'

# Detect all human faces in a given image or video frame via facedetect first, then blur all of them via mogrify.
uri = URI.parse('https://api.pixlab.io/facedetect')
params = { 'img' => img, 'key' => 'PIXLAB_API_KEY' }
uri.query = URI.encode_www_form(params)
response = Net::HTTP.get_response(uri)
reply = JSON.parse(response.body)

if reply['status'] != 200
  puts reply['error']
  exit
end

total = reply['faces'].length # Total detected faces
puts "#{total} face(s) were detected"
if total < 1
  # No faces were detected, exit immediately
  exit
end

# Pass the detected faces coordinates untouched to mogrify 
coordinates = reply['faces']

# Call mogrify, and proceed to the face blur
uri = URI.parse('https://api.pixlab.io/mogrify')
http = Net::HTTP.new(uri.host, uri.port)
http.use_ssl = true
request = Net::HTTP::Post.new(uri.path, 'Content-Type' => 'application/json')
request.body = { 'img' => img, 'key' => 'PIXLAB_API_KEY', 'cord' => coordinates }.to_json
response = http.request(request)
reply = JSON.parse(response.body)

if reply['status'] != 200
  puts reply['error']
else
  puts "Face blurred picture location: #{reply['ssl_link']}"
end