Use PHP to write an example tutorial for docking Baidu Portrait Segmentation API

Using PHP to write an example tutorial for docking Baidu Portrait Segmentation API

Portrait segmentation is an important computer vision task, which can separate the portrait in the image from the background separate from. Baidu provides a portrait segmentation API that can easily implement this function. This article will use PHP language to write a simple sample program to demonstrate how to connect to Baidu Portrait Segmentation API.

1. Preparation
   First, we need to register a Baidu developer account and create a new application to obtain API credential information. After logging in to the Baidu AI open platform, enter the console, select "Artificial Intelligence" in the left navigation bar, and then click "Portrait Segmentation" to enter the management page of the portrait segmentation application. On this page, we can view the API Key and Secret Key of the application. These credential information will be used in subsequent code.
2. Create PHP Project
   Next, we need to create a new PHP project, you can use any IDE or text editor. Create a new PHP file in the project directory, for example "portrait_segmentation.php".
3. Introducing dependencies
   At the beginning of the PHP file, we need to introduce the dependency files of Baidu AI SDK. You can download the SDK compressed package from Baidu AI Open Platform, unzip it, copy the "BDAAI" folder to the project directory, and introduce the "BDAAI/AipImageProcess.php" file into the code. The code is as follows:

Copy after login

4. Create API client
   Create a new AipImageProcess object in the code, which will serve as the client for Baidu portrait segmentation API. When creating an object, you need to pass in the API Key, Secret Key, and Access Token of the application. The code is as follows:

// 初始化SDK
$appId = 'your_app_id';
$apiKey = 'your_api_key';
$secretKey = 'your_secret_key';

$client = new BDAAIAipImageProcess($appId, $apiKey, $secretKey);

5. Call API
   Now we can use the $client object to call Baidu portrait segmentation API. In the example, we take an image named "test.jpg" as an example, read it locally and perform portrait segmentation operation. The code is as follows:

// 读取图片
$image = file_get_contents('test.jpg');

// 调用人像分割API
$result = $client->bodySeg($image);

// 将分割结果保存到本地
file_put_contents('result.png', $result);

In the above code, first use the "file_get_contents" function to read the local image file, and then call the "$client->bodySeg($image)" method to send a request to Baidu Portrait Split the API and receive the returned results. Finally, use the "file_put_contents" function to save the segmentation results to the local file "result.png".

6. Run the program
   After completing the code writing, we can run this PHP program. In the terminal, switch to the project directory and execute the following command:

php portrait_segmentation.php

The program will perform the portrait segmentation operation and generate a new picture file "result.png", which is Obtained portrait segmentation results.

Summary:
This article introduces how to use PHP to write a simple sample program to connect to Baidu portrait segmentation API. Through this example, we can quickly learn how to call the API to perform portrait segmentation on images and save the segmentation results locally. Using the portrait segmentation API provided by Baidu AI, we can easily implement the portrait segmentation function, adding more possibilities to image processing and computer vision applications.

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