PHP Image Clarity Recognition API Integration Tutorial: Easily Connect to Baidu AI API

PHP Image Clarity Recognition API Integration Tutorial: Easily Connect to Baidu AI API

Introduction:
The Baidu Image Clarity Recognition API is a powerful image processing feature provided by Baidu AI Open Platform. With this API, we can leverage Baidu AI's powerful algorithms to assess the clarity of an image and obtain a corresponding score. This tutorial will show how to integrate Baidu's Image Clarity Recognition API using PHP code.

Environment Setup

1. PHP development environment (version requirement: PHP 5.6+)
2. Baidu AI Open Platform account and Access Token (for more details, refer to the official documentation)
3. An image file (this tutorial uses an image file named "test.jpg" as an example)

Step 1: Get the Base64 Encoding of the Image through a POST Request

  <?php
    function imgToBase64($imgPath) {
        $imgInfo = getimagesize($imgPath);
        $fp = fopen($imgPath, 'rb');
        if ($fp) {
            $imgData = fread($fp, filesize($imgPath));
            $base64Data = base64_encode($imgData);
            return 'data:' . $imgInfo['mime'] . ';base64,' . $base64Data;
        } else {
            return false;
        }
    }

    $imgPath = 'test.jpg';
    $base64Data = imgToBase64($imgPath);
    if (!$base64Data) {
        echo 'Failed to read image file';
        exit;
    }
  ?>
  

Step 2: Build HTTP Request Data and Send Request

  <?php
    $url = 'https://aip.baidubce.com/rest/2.0/image-classify/v1/clearness';
    $access_token = 'your_access_token'; // Insert your Access Token here

    // Build request data
    $requestData = array(
        'image' => $base64Data,
    );
    $requestBody = http_build_query($requestData);

    // Send POST request
    $curl = curl_init();
    curl_setopt($curl, CURLOPT_URL, $url);
    curl_setopt($curl, CURLOPT_POST, 1);
    curl_setopt($curl, CURLOPT_POSTFIELDS, $requestBody);
    curl_setopt($curl, CURLOPT_RETURNTRANSFER, 1);
    curl_setopt($curl, CURLOPT_HTTPHEADER, array(
        'Content-Type: application/x-www-form-urlencoded',
        'Content-Length: ' . strlen($requestBody),
        'Access-Token: ' . $access_token,
    ));
    $response = curl_exec($curl);
    curl_close($curl);

    // Parse response result
    $result = json_decode($response, true);
    if (isset($result['error_code'])) {
        echo 'Request error: ' . $result['error_msg'];
        exit;
    }

    // Output clarity score
    echo 'Clarity score: ' . $result['result'][0]['score'];
  ?>
  

Step 3: Run the Code and Check the Results

Save the above code as a PHP file and ensure you have filled in the correct Access Token. Run the PHP file in the command line or browser, and you will get the image's clarity score.

Conclusion

This tutorial demonstrated how to integrate Baidu's Image Clarity Recognition API using PHP. By using this API, we can easily assess the clarity of an image and perform further analysis and processing on its quality. We hope this tutorial provides valuable assistance for your image processing development work.