Method to realize face recognition and image search of pictures using PHP and Qiniu cloud storage interface

Method of using PHP and Qiniu cloud storage interface to realize face recognition and image search of pictures

Introduction:
With the rapid development of the Internet, image processing technology is becoming more and more mature, and face Recognition and image search have become an integral part of our daily lives. This article will introduce how to use the PHP programming language and Qiniu cloud storage interface to implement face recognition and image search functions on pictures. Corresponding code examples will also be provided.

1. Preparation work:
1. Apply for a Qiniu cloud storage account and obtain the Access Key and Secret Key;
2. Install and configure the PHP environment.

2. Face recognition function implementation:
1. Upload pictures to Qiniu Cloud Storage:

require_once('qiniu/autoload.php');

use QiniuAuth;
use QiniuStorageUploadManager;

$accessKey = '<your-access-key>';
$secretKey = '<your-secret-key>';
$bucket = '<your-bucket-name>';

$auth = new Auth($accessKey, $secretKey);

$token = $auth->uploadToken($bucket);

$uploadMgr = new UploadManager();

list($ret, $err) = $uploadMgr->putFile($token, 'uploadKey', 'localFilePath');

if ($err !== null) {
    exit('上传失败：' . $err);
}

2. Call Qiniu Cloud Storage’s face recognition API:

$accessKeyId = '<your-access-key>';
$accessKeySecret = '<your-access-key-secret>';
$url = 'https://api.qiniu.com/face/detection/detect';

$body = array(
    'data' => array(
        'uri' => $ret['key'],
    ),
);

$content = json_encode($body);

$timestamp = time();

$signStr = $url . "
" . $content . "
" . $timestamp;

$sign = hash_hmac('sha1', $signStr, $accessKeySecret);

$header = array(
    'AccessKey: ' . $accessKeyId,
    'Content-Type: application/json',
    'Timestamp: ' . $timestamp,
    'Sign: ' . $sign,
);

$ch = curl_init();

curl_setopt($ch, CURLOPT_URL, $url);
curl_setopt($ch, CURLOPT_TIMEOUT, 30);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, 1);
curl_setopt($ch, CURLOPT_HTTPHEADER, $header);
curl_setopt($ch, CURLOPT_POST, 1);
curl_setopt($ch, CURLOPT_POSTFIELDS, $content);

$response = curl_exec($ch);

if (curl_errno($ch) !== 0) {
    exit('请求失败：' . curl_error($ch));
}

curl_close($ch);

$result = json_decode($response, true);

if ($result['code'] !== 0) {
    exit('人脸识别失败：' . $result['message']);
}

3. Analyze the face recognition results:

$faces = $result['result']['faces'];

foreach ($faces as $face) {
    $position = $face['position'];
    $age = $face['age'];
    $gender = $face['gender'];
    //....
}

3. Implementation of the image search function:
1. Upload images to Qiniu Cloud Storage:
(Same as in the implementation of the face recognition function Steps to upload images)

2. Call the image search API of Qiniu Cloud Storage:

$accessKeyId = '<your-access-key>';
$accessKeySecret = '<your-access-key-secret>';
$url = 'https://api.qiniu.com/image/v2/search';

$body = array(
    'data' => array(
        'uri' => $ret['key'],
        'limit' => 10, // 设置返回结果的数量
    ),
);

$content = json_encode($body);

$timestamp = time();

$signStr = $url . "
" . $content . "
" . $timestamp;

$sign = hash_hmac('sha1', $signStr, $accessKeySecret);

$header = array(
    'AccessKey: ' . $accessKeyId,
    'Content-Type: application/json',
    'Timestamp: ' . $timestamp,
    'Sign: ' . $sign,
);

$ch = curl_init();

curl_setopt($ch, CURLOPT_URL, $url);
curl_setopt($ch, CURLOPT_TIMEOUT, 30);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, 1);
curl_setopt($ch, CURLOPT_HTTPHEADER, $header);
curl_setopt($ch, CURLOPT_POST, 1);
curl_setopt($ch, CURLOPT_POSTFIELDS, $content);

$response = curl_exec($ch);

if (curl_errno($ch) !== 0) {
    exit('请求失败：' . curl_error($ch));
}

curl_close($ch);

$result = json_decode($response, true);

if ($result['code'] !== 0) {
    exit('图像搜索失败：' . $result['message']);
}

3. Parse the image search results:

$items = $result['result']['items'];

foreach ($items as $item) {
    $score = $item['score'];
    $key = $item['key'];
    //....
}

Conclusion:
By using With PHP and Qiniu Cloud Storage interface, we can easily implement face recognition and image search functions for pictures. Through the above code examples, we can learn how to upload images to Qiniu Cloud Storage and implement face recognition and image search functions by calling relevant APIs. I hope this article can help readers understand and use PHP and Qiniu Cloud Storage interface.

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