Open-source toolbox for visual fashion analysis based on PyTorch

Four landmark detection algorithms, implemented in PyTorch.

Efficient facial landmark detector

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

Automated face warping tool.

BlazePose - Super fast human pose detection on Tensorflow 2.x

The authors' implementation of the "Neural Head Reenactment with Latent Pose Descriptors" (CVPR 2020) paper.

Deep Reinforcement Learning (DRL) agents applied to medical images

Deep Face Recognition in PyTorch

A tool for precisely placing 3D landmarks on 3D facial scans based on the paper "Multi-view Consensus CNN for 3D Facial Landmark Placement"

Menpo's 2D deformable modelling toolkit (AAMs/CLMs/SDMs)

Communicative Multiagent Deep Reinforcement Learning for Anatomical Landmark Detection using PyTorch.

Code and data for the "annotation" component of the IPCAI 2020 paper: "Automatic Annotation of Hip Anatomy in Fluoroscopy for Robust and Efficient 2D/3D Registration." https://arxiv.org/abs/1911.07042 or https://doi.org/10.1007/s11548-020-02162-7

[MICCAI 2021] You Only Learn Once: Universal Anatomical Landmark Detection https://arxiv.org/abs/2103.04657

Bounding Box + Landmark + Headpose

Facial Landmark Detection with Caffe CNN. Face alignment avaiable.

A set of minified (but still accurate) models for Dlib

Deep Unsupervised 3D SfM Face Reconstruction Based on Massive Landmark Bundle Adjustment.

Eye state classification using OpenCV and DLib to estimate Percentage Eye Closure (PERCLOS) and alert a drowsy person (such as a driver).

🌌 OpenVTuber-虚拟アイドル共享计划 An application of real-time face and gaze analyzation via deep nerual networks.