PyTorch implementation of "Super-Realtime Facial Landmark Detection and Shape Fitting by Deep Regression of Shape Model Parameters" predicting facial landmarks with up to 400 FPS
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Updated
May 24, 2020 - Python
PyTorch implementation of "Super-Realtime Facial Landmark Detection and Shape Fitting by Deep Regression of Shape Model Parameters" predicting facial landmarks with up to 400 FPS
Lightweight framework for fast prototyping and training deep neural networks with PyTorch and TensorFlow
Code for Paper: Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification
PyTorch Implementation of the Deep Alignment Network
library to modify images and the corresponding landmarks
Vision Package for delira
Train Scripts for the vision package
A delira-compatible cycle-GAN skeleton.
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