Search Results for "t pose"
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Showing 17 open source projects for "t pose"
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lidarslam_ros2
ROS 2 package of 3D lidar slam using ndt/gicp registration
ROS 2 package of 3D lidar slam using ndt/gicp registration and pose-optimization. ros2 slam package of the frontend using OpenMP-boosted gicp/ndt scan matching and the backend using graph-based slam. -
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Pumkin's Avatar Tools
A toolbox for easily setting up VRChat avatars in Unity
An editor script that adds tools to help you setup avatars faster and easier. It includes a component copier that makes it a lot easier to reimport your avatars, and tools to make your thumbnails nicer. To install these tools grab the .unitypackage from releases then simply import it into your unity project. Make sure to delete any older versions of Pumkin Tools from your project before importing. Also make sure that you are using the correct version of Unity and the latest version of VRChat... -
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Retire.js
Scanner detecting the use of JavaScript libraries
...This greatly simplifies, but we need to stay updated on security fixes. "Using Components with Known Vulnerabilities" is now a part of the OWASP Top 10 and insecure libraries can pose a huge risk for your web app. The goal of Retire.js is to help you detect the use of versions with known vulnerabilities. Scan a web app or node app for use of vulnerable JavaScript libraries and/or node modules. grunt-retire scans your grunt-enabled app for use of vulnerable JavaScript libraries and/or node modules. Scans visited sites for references to insecure libraries and puts warnings in the developer console. ... -
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XTDB
General-purpose bitemporal database for SQL, Datalog & graph queries
...As a document-oriented database, XTDB makes your data immediately available without the need for an upfront schema. Both structured and unstructured data are at home in XTDB. Legal regulations like GDPR often pose a challenge when designing systems around immutable data. -
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Theseus
A library for differentiable nonlinear optimization
Theseus is a library for differentiable nonlinear optimization that lets you embed solvers like Gauss-Newton or Levenberg–Marquardt inside PyTorch models. Problems are expressed as factor graphs with variables on manifolds (e.g., SE(3), SO(3)), so classical robotics and vision tasks—bundle adjustment, pose graph optimization, hand–eye calibration—can be written succinctly and solved efficiently. Because solves are differentiable, you can backpropagate through optimization to learn cost weights, feature extractors, or initialization networks end-to-end. The implementation supports batched optimization on GPU, robust losses, damping strategies, and custom factors, making it practical for real-time systems. ... -
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Albumentations
Fast image augmentation library and an easy-to-use wrapper
...Albumentations efficiently implements a rich variety of image transform operations that are optimized for performance, and does so while providing a concise, yet powerful image augmentation interface for different computer vision tasks, including object classification, segmentation, and detection. Albumentations supports different computer vision tasks such as classification, semantic segmentation, instance segmentation, object detection, and pose estimation. Albumentations works well with data from different domains: photos, medical images, satellite imagery, manufacturing and industrial applications, Generative Adversarial Networks. Albumentations can work with various deep learning frameworks such as PyTorch and Keras. -
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Direct LiDAR Odometry
A lightweight and computationally-efficient frontend LiDAR odometry
DLO is a lightweight and computationally efficient frontend LiDAR odometry solution with consistent and accurate localization. It features several algorithmic innovations that increase speed, accuracy, and robustness of pose estimation in perceptually challenging environments and has been extensively tested on aerial and legged robots. This work was part of NASA JPL Team CoSTAR's research and development efforts for the DARPA Subterranean Challenge, in which DLO was the primary state estimation component for our fleet of autonomous aerial vehicles. -
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NeuMan
Neural Human Radiance Field from a Single Video (ECCV 2022)
...As a research release, it serves both as a baseline and as a starting point for work on human-centric NeRFs. The emphasis is on practical reconstruction quality from minimal capture setups. Compositional outputs to blend humans and backgrounds. Novel view and novel pose synthesis from learned radiance fields. -
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A-Frame Inspector
Visual inspector tool for A-Frame
...Get a different view of the scene and see the visual effect of tweaking entities. The VR analog to the browser’s DOM inspector. Can be opened on any A-Frame scene with <ctrl> + <alt> + i. Record and replay headset and controller pose and events. Hit record, move around inside the VR headset, interact with objects with the controller. Then replay that recording back on any computer for rapid development and testing. Reduce the amount of time going in and out of the headset. The A-Frame Inspector is a visual tool for inspecting and tweaking scenes. The Inspector is similar to the browser’s DOM inspector but tailored for 3D and A-Frame. ... -
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Facexlib
FaceXlib aims at providing ready-to-use face-related functions
facexlib is a PyTorch-based library providing ready-to-use face-related functions, including detection, alignment, recognition, and more. It integrates state-of-the-art open-source methods for various face processing tasks. -
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Nerfies
This is the code for Deformable Neural Radiance Fields
...The training pipeline handles imperfect captures by modeling camera poses, exposure variations, and background segmentation, producing stable geometry and appearance. A set of utilities manages dataset preparation, pose estimation, and checkpoints so researchers can reproduce results on their own footage. The work sits at the intersection of graphics and vision, showing how learned volumetric rendering can handle human motion without dense markers or studio rigs. -
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TransPose
PyTorch Implementation for "TransPose, Keypoint localization
TransPose is a human pose estimation model based on a CNN feature extractor, a Transformer Encoder, and a prediction head. Given an image, the attention layers built in Transformer can efficiently capture long-range spatial relationships between keypoints and explain what dependencies the predicted keypoints locations highly rely on. -
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Gluon CV Toolkit
Gluon CV Toolkit
...It features training scripts that reproduce SOTA results reported in latest papers, a large set of pre-trained models, carefully designed APIs and easy-to-understand implementations and community support. From fundamental image classification, object detection, semantic segmentation and pose estimation, to instance segmentation and video action recognition. The model zoo is the one-stop shopping center for many models you are expecting. GluonCV embraces a flexible development pattern while is super easy to optimize and deploy without retaining a heavyweight deep learning framework. -
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XIVO
X Inertial-aided Visual Odometry
...It takes as input video frames from a calibrated camera and inertial measurements from an IMU and outputs a sparse point cloud with attribute features and 6 DOF pose of the camera. It performs auto-calibration of the relative pose between the camera and the IMU as well as the time-stamp alignment. -
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OpenPose
Real-time multi-person keypoint detection library for body, face, etc.
OpenPose has represented the first real-time multi-person system to jointly detect human body, hand, facial, and foot keypoints (in total 135 keypoints) on single images. It is authored by Ginés Hidalgo, Zhe Cao, Tomas Simon, Shih-En Wei, Yaadhav Raaj, Hanbyul Joo, and Yaser Sheikh. It is maintained by Ginés Hidalgo and Yaadhav Raaj. OpenPose would not be possible without the CMU Panoptic Studio dataset. We would also like to thank all the people who has helped OpenPose in any way. 15, 18 or... -
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Dynamic Robot Localization
Point cloud registration pipeline for robot localization and 3D
...Even though this package was developed for robot self-localization and mapping, it was implemented as a generic, configurable and extensible point cloud matching library, allowing its usage in related problems such as estimation of the 6 DoF pose of an object and 3D object scanning. -
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Pose
Replace any .NET method (including static) with a delegate
Pose allows you to replace any .NET method (including static and non-virtual) with a delegate. It is similar to Microsoft Fakes but unlike it Pose is implemented entirely in managed code (Reflection Emit API). Everything occurs at runtime and in memory, no unmanaged Profiling APIs and no file system pollution with re-written assemblies.
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