Skip to content

AEM Assets (DAM) AWS Rekognition integration for object and scene analysis, facial identification, text data extraction and meta data collection.

Notifications You must be signed in to change notification settings

joshdurbin/aem-rekognition-classification

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 
 
 
 
 

Repository files navigation

AEM AWS Rekognition Classification API Integrations

This a content package project generated using the AEM Multimodule Lazybones template.

Building

This project uses Maven for building. Common commands:

From the root directory, run mvn -PautoInstallPackage clean install to build the bundle and content package and install to a CQ instance.

From the bundle directory, run mvn -PautoInstallBundle clean install to build just the bundle and install to a CQ instance.

Using with AEM Developer Tools for Eclipse

To use this project with the AEM Developer Tools for Eclipse, import the generated Maven projects via the Import:Maven:Existing Maven Projects wizard. Then enable the Content Package facet on the content project by right-clicking on the project, then select Configure, then Convert to Content Package... In the resulting dialog, select src/main/content as the Content Sync Root.

Using with VLT

To use vlt with this project, first build and install the package to your local CQ instance as described above. Then cd to content/src/main/content/jcr_root and run

vlt --credentials admin:admin checkout -f ../META-INF/vault/filter.xml --force http://localhost:4502/crx

Once the working copy is created, you can use the normal vlt up and vlt ci commands.

Specifying CRX Host/Port

The CRX host and port can be specified on the command line with: mvn -Dcrx.host=otherhost -Dcrx.port=5502

About

AEM Assets (DAM) AWS Rekognition integration for object and scene analysis, facial identification, text data extraction and meta data collection.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages