Search Results for "3d structure"
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Showing 22 open source projects for "3d structure"
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Open Asset Import Library
The open-asset-importer-library repository
The Open Asset Import Library (short name: Assimp) is a portable Open-Source library to import various well-known 3D model formats in a uniform manner. The most recent version also knows how to export 3d files and is therefore suitable as a general-purpose 3D model converter. See the feature-list. open3mod is a Windows-based model viewer. It loads all file formats that Assimp supports and is perfectly suited to quickly inspect 3d assets. Assimp aims to provide a full asset conversion pipeline for use in game engines / realtime rendering systems of any kind, but it is not limited to this purpose. ... -
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DocArray
The data structure for multimodal data
DocArray is a library for nested, unstructured, multimodal data in transit, including text, image, audio, video, 3D mesh, etc. It allows deep-learning engineers to efficiently process, embed, search, recommend, store, and transfer multimodal data with a Pythonic API. Door to multimodal world: super-expressive data structure for representing complicated/mixed/nested text, image, video, audio, 3D mesh data. The foundation data structure of Jina, CLIP-as-service, DALL·E Flow, DiscoArt etc. ... -
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SmartNode
Visual simulation platform for space-based data backhaul scenarios
smartNode is a visual simulation platform for space-based intelligent relay and satellite data-return scenarios. It models the relationship between satellites, ground stations, relay links, and content-driven task scheduling. The project includes a Python backend and a browser-based frontend, making it suitable for local simulation, teaching, and secondary development. Users can view a three-dimensional space situation, submit data return tasks, and monitor resource states in real time. The... -
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Ring
Simple and flexible programming language for applications development
The Ring is a practical general-purpose multi-paradigm language. The supported programming paradigms are imperative, procedural, object-oriented, declarative using nested structures, functional, meta programming and natural programming. The language is portable (MS-DOS, Windows, Linux, macOS, Android, WebAssembly, Microcontrollers, etc.) and can be used to create Console, GUI, Web, Games and Mobile applications. The language is designed to be simple, small and flexible. Ring is... -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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hloc
Visual localization made easy with hloc
This is hloc, a modular toolbox for state-of-the-art 6-DoF visual localization. It implements Hierarchical Localization, leveraging image retrieval and feature matching, and is fast, accurate, and scalable. This codebase won the indoor/outdoor localization challenges at CVPR 2020 and ECCV 2020, in combination with SuperGlue, our graph neural network for feature matching. We provide step-by-step guides to localize with Aachen, InLoc, and to generate reference poses for your own data using... -
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Gym
Toolkit for developing and comparing reinforcement learning algorithms
Gym by OpenAI is a toolkit for developing and comparing reinforcement learning algorithms. It supports teaching agents, everything from walking to playing games like Pong or Pinball. Open source interface to reinforce learning tasks. The gym library provides an easy-to-use suite of reinforcement learning tasks. Gym provides the environment, you provide the algorithm. You can write your agent using your existing numerical computation library, such as TensorFlow or Theano. It makes no... -
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NTU RGB-D
Info and sample codes for "NTU RGB+D Action Recognition Dataset"
The “NTU RGB+D” repository provides access to a large-scale dataset for human action recognition (and its extension, NTU RGB+D 120). The dataset includes multiple modalities (RGB video, depth sequences, infrared video, 3D skeletal joint data) captured with multiple Kinect v2 cameras simultaneously. The repository also contains MATLAB / Python demo scripts for loading, visualizing, and processing skeleton data, mapping between modalities, and handling dataset structure. Multi-modal action recognition dataset, RGB, depth, infrared, skeletal data. Split into background / evaluation sets for one-shot evaluation (in the extended dataset). -
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Flux3D.jl
3D computer vision library in Julia
Flux3D.jl is a 3D vision library, written completely in Julia. This package utilizes Flux.jl and Zygote.jl as its building blocks for training 3D vision models and for supporting differentiation. This package also have support of CUDA GPU acceleration with CUDA.jl. -
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I3D models trained on Kinetics
Convolutional neural network model for video classification
Kinetics-I3D, developed by Google DeepMind, provides trained models and implementation code for the Inflated 3D ConvNet (I3D) architecture introduced in the paper “Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset” (CVPR 2017). The I3D model extends the 2D convolutional structure of Inception-v1 into 3D, allowing it to capture spatial and temporal information from videos for action recognition. This repository includes pretrained I3D models on the Kinetics dataset, with both RGB and optical flow input streams. ... -
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TenorSpace.js
Neural network 3D visualization framework
TensorSpace is a neural network 3D visualization framework built using TensorFlow.js, Three.js and Tween.js. TensorSpace provides Keras-like APIs to build deep learning layers, load pre-trained models, and generate a 3D visualization in the browser. From TensorSpace, it is intuitive to learn what the model structure is, how the model is trained and how the model predicts the results based on the intermediate information. -
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Lvr
Augmented Reality for everyone, out of the world experiences
Lvr contains the 3D and WebVR boilerplates required to get running across platforms including mobile, desktop, Vive, and Rift. It works on any phone with WebGL and WebRTC. HTML is easy to read and copy-and-paste. Since Lvr can be used from HTML, Lvr is accessible to everyone: web developers, VR enthusiasts, educators, artists, makers, kids. It is completely open source and free of charge! -
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aframe-react
Build virtual reality experiences with A-Frame and React
Build virtual reality experiences with A-Frame and React. A-Frame is a web framework for building virtual reality experiences. Since A-Frame is built on top of the DOM, web libraries such as React, Vue.js, Angular, Ember.js, d3.js are able to sit cleanly on top of A-Frame. I recommend using vanilla A-Frame and aframe-state-component with static templating over aframe-react. React wastes a lot of cycles and incurs a lot of memory garbage. aframe-react is often abused where it is too easy to... -
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Mangrove TDS Library
A C++ Tool for the Fast Prototyping of Topological Data Structures
The Mangrove Topological Data Structure (Mangrove TDS) Library is a C++ template tool for the fast prototyping of topological data structures under the same API: - generic representation of any topological data structure, i.e., mangrove; - extensible through dynamic plugins at run-time; - agnostic wrt the representation in use; - any representation is supported without restrictions; - dimension-independent and multi-platform; - efficient representations of... -
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Protein Contact Matrix Generator
Command line application to generate contact matrix from proteins (3D)
A protein contact matrix is 2D representation of the distances between amino acid residues in a 3D protein structure. Protein Contact Map Generator (PCMGen) is a command line tool which takes protein 3D structures (PDB format files) as input and computes contact distances between two chains (from single or two different proteins). These matrix files can be further visualised as Contact Maps using other visualization tools/ programs (like R-heatmaps). -
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Open PHIGS
PHIGS (Programmer's Hierarchical Interactive Graphics System)
PHIGS is an API standard for rendering 3D computer graphics. During the 1990's OpenGL became a more popular 3D API for professionals, and it still is today. PHIGS remains to be widely used in the film industry. Open PHIGS uses OpenGL for rendering graphics rather than implementing it's own abstraction layer to the graphics hardware, or using the PHIGS Extension to X (PEX). -
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A collection of scalable icons for use on toolbar/ribbon buttons and similar user interface elements.
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Importer library to import assets from different common 3D file formats such as Collada, Blend, Obj, X, 3DS, LWO, MD5, MD2, MD3, MDL, MS3D and a lot of other formats. The data is stored in an own in-memory data-format, which can be easily processed. www.open3mod.com/ is a 3D model viewer and exporter based on Assimp that is also Open Source.
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GLSlayer
An object oriented 3D graphics API on top of OpenGL
...With GLSlayer it is easy to create a rendering context just by filling a structure and calling a function. All extensions needed to expose features for requested OpenGL version are loaded automatically. The code needed to create, setup and use objects is reduced and made intuitive. It supports OpenGL versions from 3.3 to 4.3, only forward compatible contexts. -
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GLMax
Runtime graphic engine (use OpenGL) for ObjectPascal
It is object-oriented module for using 3D/2D graphic. The GLMax can be used in games, 3D editors or multimedia software. -
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J3dPSV 1.0 is a graphical application package for viewing and modeling of three dimensional structures of protein structure, including multiple chain sequence table and a three-dimensional (3D) protein structure viewer.
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sql2diagram converts sql scripts to diagrams in the XML format dia, which can be viewed and further maintained with the dia drawing program. It is a good help for the documentation of a database structure. It provides HTML output as well.
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JViz is a prototype 3d visualization application that was created to help beginning Java programmers understand the structure, design and coding habits of their Java programs, and which parts of their programs need the most improvement.
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