Using PHP and Qiniu Cloud Storage Interface to Realize Artificial Intelligence Analysis and Automatic Tag Generation of Pictures

Introduction:
With the development of artificial intelligence, image recognition and understanding technology has been used in various fields. Has been widely used. Among them, the use of artificial intelligence technology to automatically generate tags for images can greatly improve the efficiency of image management and retrieval. This article will introduce how to use PHP and Qiniu cloud storage interface to implement artificial intelligence analysis and automatic label generation of images, and come with code examples.

Preparation:

1. Register a Qiniu cloud storage account and obtain the Access Key and Secret Key.

2. Install the PHP SDK of Qiniu Cloud Storage. It can be installed through composer, using the following command:

   composer require qiniu/php-sdk

Step 1: Upload images to Qiniu Cloud Storage
First, we need to upload images to Qiniu Cloud Storage. This step can be easily achieved using the PHP SDK of Qiniu Cloud Storage.

<?php
require_once '/path/to/autoload.php';

use QiniuAuth;
use QiniuStorageUploadManager;

// 構(gòu)建鑒權(quán)對象
$accessKey = 'YOUR_ACCESS_KEY';
$secretKey = 'YOUR_SECRET_KEY';
$auth = new Auth($accessKey, $secretKey);

// 生成上傳Token
$bucket = 'YOUR_BUCKET';
$token = $auth->uploadToken($bucket);

//要上傳文件的本地路徑
$filePath = '/path/to/image.jpg';

// 上傳到七牛云存儲
$uploadMgr = new UploadManager();
list($ret, $err) = $uploadMgr->putFile($token, null, $filePath);

if ($err !== null) {
    echo '圖片上傳失?。? . $err->message();
} else {
    $imageUrl = $ret['key'];  // 上傳成功后的圖片地址
    echo '圖片上傳成功，圖片地址：' . $imageUrl;
}
?>

Step 2: Call the artificial intelligence analysis interface of Qiniu Cloud Storage
Qiniu Cloud Storage provides a rich artificial intelligence analysis interface, including image classification, image tags, image content review, etc. Here we take the image tag interface as an example to analyze the newly uploaded image and generate automatic tags.

<?php
require_once '/path/to/autoload.php';

use QiniuAuth;
use QiniuStorageBucketManager;

// 構(gòu)建鑒權(quán)對象
$accessKey = 'YOUR_ACCESS_KEY';
$secretKey = 'YOUR_SECRET_KEY';
$auth = new Auth($accessKey, $secretKey);

// 初始化BucketManager類
$bucketManager = new BucketManager($auth);

// 要分析的圖片地址
$imageUrl = 'http://YOUR_DOMAIN/' . $imageUrl;

// 調(diào)用圖像標(biāo)簽接口
$analysis = $bucketManager->apiCall('/image/v2/pulp', 'POST', [
    'url' => $imageUrl  // 圖片地址
]);

if ($analysis[0] === null) {
    echo '圖片分析失?。? . $analysis[1];
} else {
    $labels = $analysis[0]['labels'];  // 分析結(jié)果中的標(biāo)簽數(shù)組
    echo '圖片分析結(jié)果：';
    var_dump($labels);
}
?>

Step 3: Implement automatic tag generation
In step 2, we have obtained the analysis results of the image. Now we can use these results to generate automatic tags and add them to the metadata of the image. .

<?php
// 在上面的代碼中，我們已經(jīng)獲取到了分析結(jié)果的標(biāo)簽數(shù)組$labels

// 將標(biāo)簽數(shù)組轉(zhuǎn)換為以逗號分隔的字符串，方便存儲
$tagString = implode(',', $labels);

// 將自動標(biāo)簽添加到圖片的元數(shù)據(jù)中
$bucketManager->setImageInfo($bucket, $imageUrl, [
    'x-qn-meta-tags' => $tagString
]);

echo '自動標(biāo)簽生成并添加成功！';
?>

Summary:
This article introduces how to use PHP and Qiniu cloud storage interface to implement artificial intelligence analysis and automatic label generation of images. By uploading pictures to Qiniu Cloud Storage, calling the artificial intelligence interface for image analysis, and generating automatic tags from the analysis results and adding them to the metadata of the pictures, the efficiency of picture management and retrieval can be greatly improved. Using Qiniu Cloud Storage's PHP SDK, we can easily implement these functions. Hope this article is helpful to everyone.

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