Popular GitHub Repositories for Landmark Detectors

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

Fast face detection, pupil/eyes localization and facial landmark points detection library in pure Go.

??High-Performance Face Recognition Library on PaddlePaddle & PyTorch??

Simple Node.js package for robust face detection and face recognition. JavaScript and TypeScript API.

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:

Deep Learning Based Free Mobile Real-Time Face Landmark Detector. Contact:jack-yu-business@foxmail.com

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

Human ChatGPT Comparison Corpus (HC3), Detectors, and more! ?

An awesome face technology repository.

Replication of simple CV Projects including attention, classification, detection, keypoint detection, etc.

Fast and accurate face landmark detection library using PyTorch; Support 68-point semi-frontal and 39-point profile landmark detection; Support both coordinate-based and heatmap-based inference; Up to 100 FPS landmark inference speed with SOTA face detector on CPU.

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

A face recognition solution on mobile device.

DSOD: Learning Deeply Supervised Object Detectors from Scratch. In ICCV 2017.

[Pedestron] Generalizable Pedestrian Detection: The Elephant In The Room. @ CVPR2021

Training code for facial landmark detection based on deep convolutional neural network.

Easy & Modular Computer Vision Detectors, Trackers & SAM - Run YOLOv9,v8,v7,v6,v5,R,X in under 10 lines of code.

Automatic 3D Character animation using Pose Estimation and Landmark Generation techniques

Estimate 3D face pose (6DoF) or 11 parameters of 3x4 projection matrix by a Convolutional Neural Network