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Package aws-rekognition
Short Description A Laravel package for the AWS Rekognition
License MIT
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Informations about the package aws-rekognition
fork of larareko/aws-rekognition
A Laravel package/facade for the Rekognition API PHP SDK.
This repository implements a simple Service Provider of the AWS Rekognition client, and makes it easily accessible via a Facade in Laravel >= 5.
- Now updated for Rekognition video (startLabelDetection, getLabelDetection, startContentModeration, getContentModeration, startCelebrityRecognition, getCelebrityRecognition)
See AWS Rekognition for more information.
Requirements
Create an account at AWS and take note of your API keys.
Installation using Composer
In your terminal application move to the root directory of your laravel project using the cd command and require the project as a dependency using composer.
composer require michaeljwright/aws-rekognition
This will add the following lines to your composer.json and download the project and its dependencies to your projects ./vendor directory:
Usage
In order to use the static interface we must customize the application configuration to tell the system where it can find the new service. Open the file config/app.php and add the following lines ([a], [b]):
Publish Vendor
aws-rekognition requires a connection configuration. To get started, you'll need to publish all vendor assets running:
php artisan vendor:publish
This will create a config/rekognition.php file in your app that you can modify to set your configuration. Make sure you check for changes compared to the original config file after an upgrade.
Now you should be able to use the facade within your application. Ex:
Example for video label recognition
Testing
Unit Tests are created with PHPunit and orchestra/testbench, they can be ran with ./vendor/bin/phpunit.
Contributing
Find an area you can help with and do it. Open source is about collaboration and open participation. Try to make your code look like what already exists or better and submit a pull request. Also, if you have any ideas on how to make the code better or on improving the scope and functionality please contact any of the contributors.
License
MIT License.
