Open-source toolbox for visual fashion analysis based on PyTorch
-
Updated
May 10, 2024 - Python
Open-source toolbox for visual fashion analysis based on PyTorch
Four landmark detection algorithms, implemented in PyTorch.
Deep Reinforcement Learning (DRL) agents applied to medical images
Menpo's 2D deformable modelling toolkit (AAMs/CLMs/SDMs)
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
BlazePose - Super fast human pose detection on Tensorflow 2.x
Automated face warping tool.
The authors' implementation of the "Neural Head Reenactment with Latent Pose Descriptors" (CVPR 2020) paper.
Facial Landmark Detection with Caffe CNN. Face alignment avaiable.
A tool for precisely placing 3D landmarks on 3D facial scans based on the paper "Multi-view Consensus CNN for 3D Facial Landmark Placement"
A set of minified (but still accurate) models for Dlib
Eye state classification using OpenCV and DLib to estimate Percentage Eye Closure (PERCLOS) and alert a drowsy person (such as a driver).
[MICCAI 2021] You Only Learn Once: Universal Anatomical Landmark Detection https://arxiv.org/abs/2103.04657
Communicative Multiagent Deep Reinforcement Learning for Anatomical Landmark Detection using PyTorch.
Facial Landmark Detection Framework
Deep Face Recognition in PyTorch
Bounding Box + Landmark + Headpose
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
Deep Unsupervised 3D SfM Face Reconstruction Based on Massive Landmark Bundle Adjustment.
Add a description, image, and links to the landmark-detection topic page so that developers can more easily learn about it.
To associate your repository with the landmark-detection topic, visit your repo's landing page and select "manage topics."