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Use PHP to write an example tutorial for docking Baidu Crowd Attribute Recognition API

王林
王林Original
2023-08-13 13:06:191223browse

Use PHP to write an example tutorial for docking Baidu Crowd Attribute Recognition API

Using PHP to write an example tutorial for docking Baidu Crowd Attribute Identification API

Introduction:
Baidu Crowd Attribute Identification API is a powerful crowd attribute analysis tool. The user's age, gender, occupation, interests and other attributes can be analyzed through the diversified data provided by the user, helping developers better understand the user group and conduct personalized marketing. This article will introduce how to use PHP to write an example tutorial for docking Baidu Crowd Attribute Recognition API, providing reference and help for developers.

Step 1: Preparation
First, we need to go to the Baidu AI platform to apply for a crowd attribute recognition application and obtain the API Key and Secret Key. Log in to the Baidu AI open platform (https://ai.baidu.com/) to enter the console, find the "Crowd Attribute Identification" service in the console, and create a new application. After successful creation, you can find the required API Key and Secret Key in the application management page.

Step 2: Install PHP SDK
Next, we need to install Baidu AI’s PHP SDK library. Open a terminal or command line tool and use Composer to install:

composer require baidu/aip-sdk

After the installation is complete, introduce the SDK library file

require_once 'vendor/autoload.php';

Step 3: Call the API interface
Next, we can start writing The code calls Baidu AI's crowd attribute identification API interface. Here is an example:

<?php
require_once 'vendor/autoload.php';

use BaiduAipClient;
use BaiduAipAipImageCensor;

const APP_ID = 'your_app_id';
const API_KEY = 'your_api_key';
const SECRET_KEY = 'your_secret_key';

$client = new Client(APP_ID, API_KEY, SECRET_KEY); // 创建Client对象
$imageCensor = new AipImageCensor($client); // 创建AipImageCensor对象

// 上传图片的路径
$image = file_get_contents('your_image_path');

// 调用人群属性识别API
$result = $imageCensor->user()->crowd($image);

// 处理API返回结果
if (!empty($result['error_code'])) {
    echo 'Error: ' . $result['error_msg'];
} else {
    // 获取人群属性信息
    $attributes = $result['result']['user_attributes'][0]['attributes'];
    
    // 输出人群属性信息
    echo '年龄:' . $attributes['age'] . '<br>';
    echo '性别:' . $attributes['gender'] . '<br>';
    echo '职业:' . $attributes['occupation'] . '<br>';
    echo '兴趣:' . $attributes['interest'];
}
?>

In the above code, your_app_id, your_api_key and your_secret_key Please replace it with your own API Key and Secret Key. your_image_pathPlease replace it with the path of the image that needs to be identified.

Step 4: Run the code
After you finish writing the code, save it as a PHP file and run the file in the terminal or command line tool. The execution result will return attribute information such as age, gender, occupation, and interests of the population.

Summary:
This article introduces how to use PHP to write an example tutorial for docking Baidu Crowd Attribute Recognition API, and provides code examples. Through this example, we can better understand the attribute information of the user group and facilitate personalized marketing and user analysis. Hope this article is helpful to everyone!

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