The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dagstuhl seminar on 3D Morphable Models https://www.dagstuhl.de/19102 in March 2019.
PresentID face mask detection API can detect that the person wear a mask or not. It is necessary for many places specially in the meantime of Covid19.Wearing masks in all kinds of public places still needs supervision. Image size should not exceed 8 MB Also, the images should not be larger than 5000 pixels and smaller than 50 pixels
This project uses the Labeled Faces in the Wild (LFW) dataset, and the goal is to train variants of deep architectures to learn when a pair of images of faces is the same person or not. It is a pytorch implementation of Siamese network with 19 layers.
Implementation of facial landmarks detection using pytorch on iBUG 300W dataset. Why Xception Net? Because it provides satisfactory accuracy, with least computational requirement and memory utilization, I mean can you believe that my model, which looks kinda massive, is only of 10MB!
joinfaces spring boot jetty cdi with spring security login page working example for prime faces xml less web application and apache cayenne ORM integration with adminLTE responsive layout with http2 and tls with redis session handling