OpenMMLab Pose Estimation Toolbox and Benchmark.
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Updated
May 26, 2024 - Python
OpenMMLab Pose Estimation Toolbox and Benchmark.
testSpectrogram is an open-source platform for wireless channel simulation, human/hand pose extraction, gesture spectrogram generation, and real-time gesture recognition based on millimeter-wave passive sensing and communication systems.
Official repository of Human3.6M 3D WholeBody (H3WB) dataset
This the official repo for our paper: POV-Surgery: A Dataset for Egocentric Hand and Tool Pose Estimation During Surgical Activities; at MICCAI 2023
[CVPR 2024] OHTA: One-shot Hand Avatar via Data-driven Implicit Priors
Awesome work on hand pose estimation/tracking
[CVPR 2022] OakInk: A Large-scale Knowledge Repository for Understanding Hand-Object Interaction
Hand Mesh Recovery models on OakInk-Image dataset
[ICCV 2023] HaMuCo: Hand Pose Estimation via Multiview Collaborative Self-Supervised Learning
Control your computer using hand gestures with AI, using Google's MediaPipe and OAK-D Lite camera.
Real time AI hand pose detection and Gesture recognition app build by using ReactJS and react webcam
Real time AI hand pose estimation and positioning app build by using ReactJS and react webcam
3D Pose Estimation of Two Interacting Hands from a Monocular Event Camera [3DV'24]
SHOWMe: Benchmarking Object-agnostic Hand-Object 3D Reconstruction (Dataset, Contains proposed top baseline reconstructions with estimated camera poses)
Here is source code for an example of hand tracking application (Virtual calculator) using openCV and mediapipe. It is a project for practicing skills in using openCV and image processing in computer vision. With this code, you can create a Virtual calculator and do basic mathematical calculation.
Here is source code for an example of hand tracking using mediapipe library
Official PyTorch implementation of TriHorn-Net
Tensorflowjs handpose gesture recognition - This package provides utility function to create "landmark" array from keypoints & keypoints3D arrays; for the latest model of handpose.
The Official PyTorch Implementation of "MHEntropy: Multiple Hypotheses Meet Entropy for Pose and Shape Recovery" (ICCV 2023 Paper)
PyTorch release for paper "Pixel-wise Regression: 3D Hand Pose Estimation via Spatial-form Representation and Differentiable Decoder"
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