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How to use PHP to connect to Alibaba Cloud's artificial intelligence interface to implement image recognition functions
In today's technological development, artificial intelligence technology has become one of the important applications in all walks of life. Among them, image recognition technology plays an important role in many fields, such as security, medical care, intelligent transportation, etc. As a leading cloud computing service provider, Alibaba Cloud provides a wealth of artificial intelligence interfaces, including image recognition interfaces. This article will introduce how to use PHP to connect to the Alibaba Cloud artificial intelligence interface to implement image recognition functions.
composer require alibabacloud/client
require_once __DIR__ . '/vendor/autoload.php';
Connect Next, initialize an Alibaba Cloud client:
use AlibabaCloudClientAlibabaCloud; AlibabaCloud::accessKeyClient('yourAccessKeyId', 'yourAccessKeySecret') ->regionId('cn-hangzhou') //根据实际情况填写正确的区域ID ->asDefaultClient();
Then, you can use DefaultAcsClient
to execute the image recognition interface:
use AlibabaCloudClientAlibabaCloud; use AlibabaCloudGreenGreen; use AlibabaCloudClientExceptionClientException; use AlibabaCloudClientExceptionServerException; function imageRecognition($imageUrl) { try { $result = AlibabaCloud::rpc() ->product('Green') ->version('2018-05-09') ->action('ImageDetection') ->method('POST') ->options([ 'query' => [ 'RegionId' => 'cn-hangzhou', 'Async' => 'false', 'ImageUrl' => $imageUrl, ], ]) ->request(); return $result->toArray(); } catch (ClientException $e) { echo $e->getErrorMessage() . PHP_EOL; } catch (ServerException $e) { echo $e->getErrorMessage() . PHP_EOL; } }
In the above code, imageRecognition
The function is used to call Alibaba Cloud's image recognition interface and return the response result. The $imageUrl
parameter is the address of the image to be identified.
$imageUrl = 'http://example.com/image.jpg'; $result = imageRecognition($imageUrl); var_dump($result);
During the test process, you need to replace $imageUrl
with the actual The identified image address.
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