There are 6 repositories under landmark-detection topic.
Free to use online tool for labelling photos. https://makesense.ai
MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:
Open-source toolbox for visual fashion analysis based on PyTorch
Four landmark detection algorithms, implemented in PyTorch.
C++11 implementation of the supervised descent optimisation method
👦 Fast-Face : Android App for Real-time Face Landmark Detection. You can check your landmarks in 60ms
Fashion Landmark Detection in the Wild
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
Streaming over lightweight data transformations
An example of use a Vision framework for face landmarks detection in iOS 11
BlazePose - Super fast human pose detection on Tensorflow 2.x
Deep Reinforcement Learning (DRL) agents applied to medical images
The authors' implementation of the "Neural Head Reenactment with Latent Pose Descriptors" (CVPR 2020) paper.
Deep Face Recognition in PyTorch
Finds facial features such as face contour, eyes, mouth and nose in an image.
A tool for precisely placing 3D landmarks on 3D facial scans based on the paper "Multi-view Consensus CNN for 3D Facial Landmark Placement"
Simultaneous localization and mapping also commonly known in short as SLAM written in python.
Tools to detect and classify landmarks (currently, trees and pole-like objects) from point cloud data
Communicative Multiagent Deep Reinforcement Learning for Anatomical Landmark Detection using PyTorch.
Bounding Box + Landmark + Headpose
Facial Landmark Detection with Caffe CNN. Face alignment avaiable.
[MICCAI 2021] You Only Learn Once: Universal Anatomical Landmark Detection https://arxiv.org/abs/2103.04657
A set of minified (but still accurate) models for Dlib
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.
Android native application to perform head pose estimation using images coming from the front camera.
This repositary contain all my exercises and projects of Udacity Computer Vision Nanodegree Program
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.
Hourglass Networks for Knee Anatomical Landmark Localization: PyTorch Implementation
PyTorch Implementation of the Deep Alignment Network
CL-Detection2023 Challenge Official Repository