*Creat AWS profile with rekognition permisions.
*Create IAM user with Rekognition and S3 access.
*Copy “accessKeyId” and “secretAccessKey”
*If you are going to use analyze S3 hosted images/videos then create S3 bucket with relevant permissions.
AWS_ACCESS_KEY - an AWS access id with access to S3 and Rekognition
AWS_SECRET_KEY - a matching AWS secret key
AWS_PROFILE - the AWS profile that you want to run image recognition
AWS_REGION - the AWS region you'd like to use. eg: 'us-west-1'
-
detectModerationLabelsFromLocalFile(filepath)
- input : filepath of .jpg or .png image
- output :
- recognize visible labels and respective confidence values from the given local image
- recognize image orientation in degrees
-
detectFacesFromLocalFile(filepath)
- input : filepath of .jpg or .png image
- output :
- recognize visible faces, pose, orientation from image
-
detectLabelFromS3WithOwnAWSAccountAndBucket(resource)
- input :
var resources ={ accessKeyId: "AKyyyyyyyyBRA", secretAccessKey: "OTNhdceixxxxxxxOpG5Wldha+kX", region: "us-east-1", bucketName:"rekognition-bucket-name", image: "moderation-image.jpg" };
- output :
- recognize lables from S3 bucket hosted image file
var recognitionService = require('image-recognition-aws'); // import awe-rekognition-npm library
recognitionService.detectFacesFromLocalFile('Local-file-path/profile.jpg', function(err, result){
if(!err)
console.log(result); // get JSON output
});
var resources = {
accessKeyId: "AKyyyyyyyyBRA",
secretAccessKey: "OTNhdceixxxxxxxOpG5Wldha+kX",
region: "us-east-1",
bucketName:"rekognition-bucket-name",
image: "moderation-image.jpg"
};
recognitionService.detectLabelFromS3WithOwnAWSAccountAndBucket(resources, function(err, result){
if(!err)
console.log(result); // get JSON output
});
- Add Celebrity detection API
- Add capability to apply rekognition to web image URL insted of using local filepath
- Add More Image rekognition Functionalities