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Exadel CompreFace download for Windows

Free download Exadel CompreFace Windows app to run online win Wine in Ubuntu online, Fedora online or Debian online

This is the Windows app named Exadel CompreFace whose latest release can be downloaded as CompreFace_1.2.0.zip. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named Exadel CompreFace with OnWorks for free.

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- 6. Download the application and install it.

- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.

Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.

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Exadel CompreFace


DESCRIPTION

Exadel CompreFace is a free and open-source face recognition GitHub project. Essentially, it is a docker-based application that can be used as a standalone server or deployed in the cloud. You don’t need prior machine learning skills to set up and use CompreFace.

The system provides REST API for face recognition, face verification, face detection, face mask detection, landmark detection, age, and gender recognition. The solution also features a role management system that allows you to easily control who has access to your Face Recognition Services.

CompreFace is delivered as a docker-compose config and supports different models that work on CPU and GPU. Our solution is based on state-of-the-art methods and libraries like FaceNet and InsightFace.

Official website: https://exadel.com/solutions/compreface/
Github link: https://github.com/exadel-inc/CompreFace



Features

  • Face recognition
  • Face verification
  • Face detection
  • Face identification
  • Age detection
  • Gender detection
  • Landmarks detection
  • Face mask detection


Audience

Information Technology, Developers, Security


User interface

Angular



Categories

Artificial Intelligence, Machine Learning, Image Recognition, Facial Recognition

This is an application that can also be fetched from https://sourceforge.net/projects/compreface/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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