253 skills found · Page 8 of 9
heckj / Experiment439An experiment in creating useful 3D visualizations using Apple's SceneKit. The visualizations are aimed at general data visualization, similiar to charts and graphs, and taking quite a bit of inspiration from D3.
abcdaaaaaaaaa / MQDataScienceThis library calculates slopes of gas sensors (MQ-2, MQ-3, MQ-4, MQ-5, MQ-6, MQ-7, MQ-8, MQ-9, MQ-131_low/high, MQ-135, MQ-136, MQ-137, MQ-138, MQ-214, MQ-216, MQ303A, MQ303B, MQ306A, MQ307A, MQ309A). Ceates data science visualization applications featuring 4D Slope Estimation with 3D MQ Graph Simulation.
petergu684 / Unity AR To Model AppAugmented Reality app running Meta 2, implemented with Unity3D. This app is to find the position and orientation of a real object (Stanford Bunny in our case), and visualize the virtual object on top of the real object. This is realized by obtaining the 3D point cloud data from the sensor on Meta 2 (and that's why we are not using HoloLens), and perform registration on the point cloud data with the known 3d model.
1Aditya7 / Seismic Data VisualisationsThis project explores advanced seismic data visualization techniques using Python. It leverages libraries like Mayavi and Matplotlib for interactive 3D rendering, attribute mapping, well log integration, structural interpretation, geobody modeling, seismic inversion, AVO/AVA analysis, time-lapse seismic, and geostatistical analysis.
birukG09 / Satellite Telemetry Visualization And Communication MonitorSentinel Satellite Telemetry Visualization System is a real-time platform that tracks satellites using telemetry data. It features interactive 3D and 2D maps with a cyberpunk-inspired black and neon green UI, enabling users to monitor satellite positions, orbits, and communications with clarity and precision.
milos-agathon / 3d Railway MapsThis repository is a practical guide to using the rayshader library in R for creating 3D maps of railways and terrain from OpenStreetMap data. It's aimed at those interested in visualizing geographic information in a three-dimensional format for any country.
the-quarantined / Augine UnityWe tried to present an elegant solution to the users by creating an application which provides them with a set of tools for making Interior Designing easy. Here’s the main menu which provides you with the different functions and helps in providing the user a tool which helps in creating a wonderful experience . First function is AR Tiles . Your dream space is closer than you think. The AR tool allows users to see any of the given flooring products digitally rendered in their home. There is a stark difference between trying to imagine how a tile sample will look throughout a room and being able to view the room’s entire floor covered in the new tile using AR Follow the simple steps outlined above to locate 3D-enabled products Point the camera at the area of your room where you want the tile to appear. The app detects your room’s floor. Second is AR Measure is pretty neat. The feature uses a smartphone to measure real-life objects through the magic of augmented reality. AR tracks real-life objects in order to accurately place virtual items in a camera feed, and if the tracking is good enough, an app can turn that data into a pretty good estimate of distance. And Last is AR Furniture The feature automatically scales products, based on room dimensions, with 98 percent accuracy . In order to visualize a product within a space, the application scans the expanse of a room through an phone’s camera. Users can browse through over products on an to make their selections. Once chosen, users must point the device to the desired spot in a room, then drag and drop the selected product onto the space.
52North / GeologicToolboxTools for geologic data access and 3D visualization
fruitflybrain / Neu3dA javascript 3D visualization engine for neural data in SWC format
Apress / High Impact Data Visualization In ExcelSource code for 'High Impact Data Visualization in Excel with Power View, 3D Maps, Get & Transform and Power BI' by Adam Aspin
Esri / 3D Visualization DemosLearn how to visualize data in 3D with the ArcGIS 4.0 API for JavaScript. In this session we’ll overview various points to consider when thinking about 3D visualization, including when it is appropriate to use 3D symbols and 2D symbols. Create single variable and multivariate visualizations in just a few lines of code. Understand the variety of visualization opportunities in 3D, while acknowledging some of the pitfalls. Become familiar with some of the up and coming features related to 3D visualization.
MapsPy / MapsPyA set of Python software tools for analysis and visualization of 3D X-ray fluorescence data sets
TPakar / ProfeelProfeel is an open-source dosimetry data visualization software (MATLAB®), which can be used for 1D, 2D and 3D data comparison, data processing and analytics. Supported datatypes: IBA Omnipro (ASCII export), PTW (.mcc), PTW software exports (ASCII), EGSnrc (.3ddose) and DicomRT (RD dose).
billcxx / MUPRO Visualization3D data visualization tool based on VTK and qt
zgtcktom / DeepPack3DDeepPack3D is a Python-based 3D bin-packing software optimized for robotic palletization systems. It supports various methods, including reinforcement learning (RL) and heuristic baselines, and provides flexible options for data input and visualization.
pedrodparkes / Luxonis IMU VisualizationLuxonis OAK-D, OAK-W, OAK-S2. Get IMU data. Sync and Record IMU data with frames. Analise IMU data frequency, noice, etc. Live-plottint. AHRS calculation+3D Cube visualization
scott-trinkle / FiberorientPython package for extracting and visualizing the orientations of local structures in 3D image data using structure tensor analysis
bigdoll / Ris Secrecy OptimizationOptimizing Reconfigurable Intelligent Surfaces (RIS) for secure wireless communications. This project implements advanced algorithms to enhance data rates and energy efficiency while ensuring secrecy in the presence of eavesdroppers. Features include Monte Carlo simulations, 3D visualization, and state-of-the-art optimization techniques (SFP & AO).
samyakrajbayar / Live Satellite TrackerA beautiful, real-time satellite tracking application with stunning 3D visualization and interactive telemetry data. Track popular satellites like the ISS, Hubble Space Telescope, and Starlink constellation as they orbit Earth.
RheoDesign / AAVS BeijingTITLE: SU(PE)RREAL Director: Li-Qun Zhao SuperReal is about the manipulation of the mass information in the Big Data Era. Due to the development of multi-media technologies, everyone has submerged in the data ocean. Data could be generated by anything surround us. Instead of generating forms and effects, the key of SuperReal is, how we can parameterize the information mapping, regardless visible or invisible, with visual communication. Various multi-media tools will be used in data collection, processing and presentation. The workshop will start with exercises of data mapping and visualization through parametric modelling tools. Surreal emerges when we represent and reproduce the SuperReal data with multi-media medium, which promotes more interactive response between clients and users. We understand the representation of SuperReal is the project itself, meaning iterative feedback from statistical database to inspirational presentations will generate the design concepts. In this workshop, we will borrow the techniques and knowledge for film, animation and game industries, to produce the super-real surreal architecture in-between the virtual and the real space. The context of our workshop will be based on the imagination of how people would use the Galaxy Soho in Beijing in 50 years from now on. As we know, the Galaxy Soho is a new icon among those most recognizable icons in the capital of China. All the icons are designed to play against the human scale as the way to respect humans. The application of the SuperReal & Surreal through multi-media tools is how to re-occupying the macro anti/pro-human iconic buildings with micro events in human scale inspired by the data mapping outputs that we produced in the early stage. Some of the most prominent features, which the participants will be exposed to during AAVS Beijinginclude: • Teaching team: AAVS Beijing tutors are selected from recent graduates / current tutors at the AA. Participants engage in an active learning environment where the large tutor to student ratio (5:1) allows for personalized tutorials and debates. • Facilities: AAVS Beijing is based on Tsinghua University, which offers laser cutting, CNC milling, and 3d printing facilities. • Computational skills: The toolset of AAVS Beijing includes the most advanced computational design tools, such as Rhinoceros, Maya, Digital Project, Processing, Arduino, and Grasshopper. According to the agenda of this year, it is also include InformationMapping and Multi-Media representation tools. • Theoretical understanding: The dissemination of fundamental design techniques and relevant critical thinking methodologies to the participants through theoretical sessions and seminars forms one of the major goals of AAVS Beijing. • Professional awareness: AAVS Beijing performs as a simulation of the professional environment due the priority given to team-based design approach. Participants ranging from 2nd year students to PhD candidates and full-time professionals experience a highly focused collaborative educational model, which promotes research-based design and making. • Fabrication: According to the specific agenda of each year, form node model to a one-to-one scale prototype could be fabricated and assembled by design teams. • Lecture series: Based on its unique location, Beijing, AAVS Beijing creates a vibrant atmosphere with its intense lecture programme conveying the diverse expertise of professionals from some of the world’s exciting practices in the areas of urbanization，regional and computational architecture design.
