Search Results for "motion tracking"
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Showing 52 open source projects for "motion tracking"
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ViRe
A open-source VR mocap studio built in Unity
ViRe is an open-source VR mocap studio built in Unity. ViRe can be used for anyone who wants to record motion, but cannot afford a huge and expensive motion capture studio. All you need is a simple VR Setup. ViRe runs on top of SteamVR, the default asset to support all kinds of VR Headsets. It supports the tracking of the headset and both hand controllers. We are working on support for additional body trackers, and for every place you do not have a tracker, procedural bone movement will help out. -
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AliceVision
3D Computer Vision Framework
AliceVision is an open-source photogrammetric computer vision framework designed to reconstruct detailed 3D scenes and camera motion from collections of images or videos. It provides a complete pipeline for structure-from-motion (SfM), multi-view stereo (MVS), and mesh generation, allowing users to convert 2D imagery into accurate 3D models. The framework is built with a strong emphasis on research-grade algorithms while maintaining the robustness required for production environments, making it suitable for industries such as visual effects, cultural heritage preservation, and robotics. ... -
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SteadyDancer
Harmonized and Coherent Human Image Animation
SteadyDancer is a research-oriented motion stabilization and dancer tracking system designed to analyze and correct motion in videos, making captured performances appear smoother and more stable while preserving expressiveness. It employs computer vision and motion modeling to estimate and reduce unwanted jitters, shakes, or camera wobbles — particularly in dance or movement sequences where traditional smoothing would distort intentional motion. ... -
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BoxMOT
Pluggable SOTA multi-object tracking modules for segmentation
BoxMOT is an open-source framework designed to provide modular implementations of state-of-the-art multi-object tracking algorithms for computer vision applications. The project focuses on the tracking-by-detection paradigm, where objects detected by vision models are continuously tracked across frames in a video sequence. It provides a pluggable architecture that allows developers to combine different object detectors with multiple tracking algorithms without modifying the core codebase.... -
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UEVR
Universal Unreal Engine VR Mod (4.8 - 5.4)
UEVR is a universal VR mod that adds virtual reality support to many games built with Unreal Engine 4 and 5. It injects into a running game and uses Unreal’s own stereo rendering systems to produce full stereoscopic 3D with six-degree-of-freedom headset movement. The tool supports both OpenVR and OpenXR runtimes and offers several rendering modes for balancing compatibility, visuals, and performance. It can project many in-game interfaces into 3D space and provides optional motion controls... -
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WiFi DensePose
Turn WiFi signals into real-time human pose estimation and detection
...The repository includes components for data processing, model inference, and real-time visualization, making it suitable for research and experimental deployments. Its architecture emphasizes performance and reproducibility, allowing developers to explore non-visual motion capture systems using accessible hardware. Overall, WiFi DensePose functions as an advanced research-grade toolkit for WiFi-based human sensing and pose estimation. -
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GR00T Whole-Body Control (WBC)
Welcome to GR00T Whole-Body Control (WBC)
...It includes the decoupled controller used with GR00T N1.5 and N1.6, combining reinforcement learning for the lower body with inverse kinematics for the upper body. The GEAR-SONIC system learns a broad set of natural motor skills from large-scale human motion data through a unified tracking policy. Released Unitree G1 checkpoints support motion references, whole-body teleoperation, planning, and vision-language-action workflows. A C++ and TensorRT inference stack provides real-hardware deployment, while PyTorch checkpoints support Isaac Lab evaluation and continued training. The repository also includes VR teleoperation, data collection, kinematic planning, and low-latency control configurations. ... -
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VGGT
[CVPR 2025 Best Paper Award] VGGT
VGGT is a transformer-based framework aimed at unifying classic visual geometry tasks—such as depth estimation, camera pose recovery, point tracking, and correspondence—under a single model. Rather than training separate networks per task, it shares an encoder and leverages geometric heads/decoders to infer structure and motion from images or short clips. The design emphasizes consistent geometric reasoning: outputs from one head (e.g., correspondences or tracks) reinforce others (e.g., pose or depth), making the system more robust to challenging viewpoints and textures. ... -
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Cardboard SDK
Open source Cardboard SDK and samples
This SDK provides everything you need to create your own Virtual Reality (VR) experiences for Google Cardboard. It supports essential VR features, such as motion tracking, stereoscopic rendering, and user interaction via the viewer button. With these capabilities, you can build entirely new VR experiences, or enhance existing apps with VR capabilities. You can use the Cardboard SDK to turn a smartphone into a VR platform. A smartphone can display 3D scenes with stereoscopic rendering, track and react to head movements, and interact with apps by detecting when the user presses the viewer button. ... -
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frame.js
JavaScript Sequence Editor
frame.js is a tiny utility for orchestrating frame-based animations with requestAnimationFrame while keeping code clean and predictable. It abstracts the boilerplate of setting up a render loop, tracking elapsed time, and updating callbacks at the right cadence. By providing a simple lifecycle—start, stop, tick—it encourages separation between state updates and rendering, which is essential for smooth visuals. The library aims to be unobtrusive: you can drop it into demos or prototypes... -
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AtomAI
Deep and Machine Learning for Microscopy
AtomAI is a Pytorch-based package for deep and machine-learning analysis of microscopy data that doesn't require any advanced knowledge of Python or machine learning. The intended audience is domain scientists with a basic understanding of how to use NumPy and Matplotlib. It was developed by Maxim Ziatdinov at Oak Ridge National Lab. The purpose of the AtomAI is to provide an environment that bridges the instrument-specific libraries and general physical analysis by enabling the seamless... -
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Google Cardboard XR Plugin for Unity
Google Cardboard XR plugin for Unity
This SDK provides everything you need to create your own Virtual Reality (VR) experiences for Google Cardboard in Unity 2019.4.25f1 or later. It supports essential VR features, such as motion tracking, stereoscopic rendering, and user interaction via the viewer button. With these capabilities, you can build entirely new VR experiences, or enhance existing apps with VR capabilities. You can use the Cardboard SDK to turn a smartphone into a VR platform. A smartphone can display 3D scenes with stereoscopic rendering, track and react to head movements, and interact with apps by detecting when the user presses the viewer button. ... -
13
JanusWeb
An in-browser implementation of JanusVR
JanusXR re-imagines webpages as collaborative 3D web spaces interconnected by portals. JanusXR turns any webpage into its own three-dimensional space where users can meet and explore with others. Host content on the open web and customize Janus' open-source multiplayer server to fit your needs. VESTA is JanusXR's user-driven community. Post your own spaces and get feedback from other community members! The built-in editor allows users to join together to create content in real-time.... -
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Five-Limit InterFace
Five-limit pitch fractal, navigated via motion tracking
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CIApp
CIApp is an innovative application designed to track and count reps
Automatic Repetition Counting: Detects and counts exercise repetitions (e.g., pull-ups, push-ups, squats) in real-time using AI-powered motion tracking. Reduces the need for manual counting, allowing users to focus fully on their workout. Advanced Computer Vision: Utilizes cutting-edge machine learning models to recognize movements and distinguish between exercise types. Works with both webcams and video uploads for ultimate flexibility. User-Friendly Interface: Simple and intuitive design for users of all fitness levels. ... -
16
Sora 2 watermark remover
Sora 2 Watermark Remover: Fast AI tool that removes watermarks from So
Xray Sora Watermark Remover is a free, lightweight, and open-source desktop application designed to remove watermarks from Sora 2 videos. This AI-powered tool works offline, ensuring privacy and no internet dependency. It uses advanced frame-by-frame inpainting and motion tracking to seamlessly erase dynamic watermarks while preserving original video quality, resolution, and smoothness. Supporting batch processing, it is ideal for professional video editing. The program’s small size and efficiency make it perfect for creators seeking a reliable, high-quality, privacy-safe watermark remover without subscription fees or online connections. ... -
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A multimedia authoring and processing framework and a video playout server for television broadcasting.
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MuJoCo MPC
Real-time behaviour synthesis with MuJoCo, using Predictive Control
...MJPC integrates a high-performance GUI and multiple predictive control algorithms, including iLQG, gradient descent, and Predictive Sampling — a competitive, derivative-free method that achieves robust real-time control. The system supports multi-shooting optimization, enabling precise motion planning across diverse domains like quadruped locomotion, humanoid tracking, and dexterous manipulation. In addition to its C++ core, MJPC includes an experimental Python API, enabling integration with custom models and MuJoCo tasks for flexible scripting and experimentation. -
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Gait Tracking With x-IMU
Foot tracking algorithm demonstrated in Seb Madgwick's 3D Tracking
This repository provides the source code for a foot-tracking algorithm using an inertial measurement unit (IMU) attached to the foot, as demonstrated in Seb Madgwick’s “3D Tracking with IMU” video (March 2011). The method performs dead reckoning to integrate foot motion and corrects for drift at each foot strike (when the foot touches the ground) to reset error accumulation. The algorithm was part of gait analysis research, estimating foot trajectories in 3D over time. ... -
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CoTracker
CoTracker is a model for tracking any point (pixel) on a video
...Its transformer-style architecture aggregates information both along time and across points, allowing it to recover tracks even after brief disappearances. The repository ships with inference scripts, pretrained weights, and simple interfaces to seed points, run tracking, and export trajectories for downstream tasks. Typical uses include correspondence building, motion analysis, dynamic SLAM priors, video editing masks, and evaluation of geometric consistency in real scenes. -
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DragGAN
Official Code for DragGAN (SIGGRAPH 2023)
...Built on top of StyleGAN architectures, the tool operates directly on the learned generative manifold to maintain photorealistic consistency. It combines feature-based motion supervision with a robust point-tracking mechanism to ensure accurate edits during user interaction. DragGAN has gained attention for making complex image edits, such as pose changes or shape adjustments, accessible through an intuitive interface. The repository provides code and GUI tooling that allow researchers and advanced users to experiment with this next-generation controllable image manipulation technique. -
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CineTracker
CineTracker GUI for motion tracking of cine MRI
CineTracker GUI for motion tracking of cine MRI Developed by Liam Lawrence and Angus Lau, Sunnybrook Health Sciences Centre -
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Metatext
A free, open-source iOS Mastodon client
Metatext is a free, modern, open source, and accessible Mastodon client. -
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avio
Python version of ffplay with built-in AI
See the Files tab above for installation instructions -
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jeelizFaceFilter
Javascript/WebGL lightweight face tracking library
...We want to keep it framework agnostic so the outputs of the library are raw, if the face is detected or not, the position and the scale of the detected face and the rotation Euler angles. But thanks to the featured helpers, examples and boilerplates, you can quickly deal with a higher level context (for motion head tracking, for face filter or face replacement). We continuously add new demonstrations, so stay tuned!