#Digikam facial recognition full

So far the project is coming along very nicely and is working pretty well (as identified in the screen-grab above).

#Digikam facial recognition full

The software includes a full collection of tools for importing, organizing, editing, and sharing photographsand raw data. Get ready to say cheese for the dearth of auto-tagging based on facial recognition in truly native Linux applications is about to be abated – and it’s all thanks to KDE developer Aditya Bhatt and his work on a new library called ‘ libface‘.ĭeveloped as part of ‘Google Summer of Code’, Aditya Bhatt’s project sees him nabbling away on implementing automatic tagging of faces in popular photo management application ‘digiKam’ via the use of the libface – a library created by both himself and aimed at bringing face recognition technology to the open source community. Overview Are you in need of a facial recognition software digiKam is a powerful open-source digital picture management program that operates on Linux, Windows, and MacOS. For as spurious or novel as face-tagging may seem to some, for users with a shed load of family photos to keep track of it is an invaluable timesaver. The lack of capable face-recognition in native Linux photo managers has meant, for many, that the hodge-podge of Google’s Picasa has remained the only viable choice when seeking out a ‘modern’ photo-manager that is able to keep up with the Joneses. I have my own system for storage and backup so I dont want to use cloud storage or backup. I now have 20.000 fotos scanned for facial regognition with 60 different persons. Also nice is the ability to create a face-movie and foto-collage. What am I talking about? Face recognition. Facial recognition is what I use most plus the ability to sort the fotos on date and select them with a star. Google’s Picasa desktop application has it, Apple’s iPhoto has it and even Windows Live Photo Gallery now has it.