Set Up Your Development Environment
- Ensure you have an Amazon Web Services (AWS) account and relevant credentials with access to Amazon AI services such as Rekognition, Polly, or Comprehend.
- Install Adobe Creative Cloud apps relevant to your project (e.g., Photoshop, Premier Pro). Make sure they are up to date.
- Install relevant SDKs or APIs for integrating Amazon AI, such as AWS SDK for JavaScript or Python SDK (Boto3).
Install Required Tools and Libraries
- Install AWS CLI to facilitate communication with Amazon services through terminal commands:
pip install awscli
- Set up the AWS CLI with your credentials:
aws configure
- Install any necessary plugins or extensions within Creative Cloud apps that will allow for easy integration, monitoring, and development with external services.
Authenticate and Set Up Permissions
- Go to the AWS IAM console and create a new user or role with policy permissions for the AI services you plan to use (e.g., “AmazonRekognitionFullAccess”).
- Store the IAM user credentials locally and ensure they are referenced appropriately in your development environment (e.g., environment variables, configuration files).
Configure Adobe Creative Cloud for External Scripts
- For Adobe apps with scripting capabilities, such as Photoshop or After Effects, ensure that external scripts are enabled and properly configured through the app's settings or preferences.
- Install any JavaScript or VBS scripting kits provided by Adobe that allow for custom script execution directly within the program.
Create and Test Integration Scripts
- Develop scripts in a language that is compatible with your Adobe app and facilitates API interaction (e.g., JavaScript for CEP panels or ExtendScript for Photoshop).
- For example, integrating Amazon Rekognition with Photoshop to tag images:
const AWS = require('aws-sdk');
const rekognition = new AWS.Rekognition();
function tagImage(imageData) {
const params = {
Image: {
Bytes: imageData
}
};
rekognition.detectLabels(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
// Process label data and integrate with Adobe app
});
}
- Test scripts locally and within Adobe apps to ensure seamless operation and data flow between Amazon AI services and Adobe CC tools.
Deploy and Scale the Solution
- If using on a larger scale, consider deploying your integration as a standalone application or service that interfaces both with AWS and Adobe services.
- Use AWS Lambda for serverless script execution to handle image processing or data analysis, combined with Adobe Creative Cloud APIs for seamless integration.
- Continuously monitor performance and adjust IAM permissions and services scaling as necessary to accommodate increased demand or additional AI processing tasks.
