Justus Perillieux

shapenet. 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

deep_alignment_network_pytorch. PyTorch Implementation of the Deep Alignment Network

dl-utils. Utilities for Deep Learning with PyTorch (models, losses, metrics etc.)

shape-constrained-network. This repository contains my implementation of a shape-constrained network which predicts up to 170 FPS

detr_lightning. Python

shapedata. library to modify images and the corresponding landmarks

delira-unet-baseline. A baseline repository to train a unet with delira

OAI-Knee-Segmentation. Under Construction

dotfiles-3. Lua

pytorch-misc. Some miscellaneous PyTorch stuff

medical-shape. Python

vision_training. Train Scripts for the vision package

template_v2. Dockerfile

python-remote-versioneer. version-string management for VCS-controlled trees

lightning_dev_docker. Dockerfiles to development lightning on cuda and docker

torch_layers. Custom PyTorch layers to add useful features

blogpost_examples. Python

medical-data. Helpful utilities for deep learning in medical image analysis/medical image computing

delira_cycle_gan_pytorch. A delira-compatible cycle-GAN skeleton.

som-tsp. Solving the Traveling Salesman Problem using Self-Organizing Maps

probabilistic_unet_pytorch. A Probabilistic U-Net for segmentation of ambiguous images implemented in PyTorch