Search Results for "spatial" - Page 6
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Showing 279 open source projects for "spatial"
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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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OMPrisma
OMPrisma is a library for spatial sound synthesis in OpenMusic
OMPrisma is a library for spatial sound synthesis, embedded in the computer-aided composition environment OpenMusic. As a superset of sound synthesis classes in OMChroma it constitutes a framework to combine sound synthesizers with spatialization engines in an arbitrary fashion, considering spatial attributes at the synthesis level. OMPrisma provides high-level control structures to perform spatial sound synthesis processes at arbitrary scales and complexities. ... -
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spatial-framework-for-hadoop
The Spatial Framework for Hadoop allows developers
The Spatial Framework for Hadoop allows developers and data scientists to use the Hadoop data processing system for spatial data analysis. For tools, samples, and tutorials that use this framework, head over to GIS Tools for Hadoop. At the root level of this repository, you can build a single jar with everything in the framework using Apache Ant. -
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SMTracker (v1.5, v2.0)
A tool for analysis and visualization of single-molecule tracking data
SMTracker v2.0 is a MATLAB-based graphical user interface (GUI) for automatically quantifying, visualising and managing SMT data via five interactive panels, allowing the user to interactively explore tracking data from several conditions, movies and cells on a track-by- track basis. Diffusion parameters and motion behaviour is analysed by several methods: a) by a Gaussian mixture model ,or b) by using the cumulative probability distribution of square displacements, c) Mean-Squared... -
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earthengine-py-notebooks
A collection of 360+ Jupyter Python notebook examples
...Many of the notebooks integrate with tools like folium, ipyleaflet, and geemap to bridge Earth Engine data with Python’s rich ecosystem for plotting and analysis. Users can quickly adapt the examples for their own remote sensing, environmental monitoring, or spatial data science projects, and can run the code in environments like Google Colab. -
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Laravel MySQL Spatial extension
MySQL Spatial Data Extension integration with Laravel.
Laravel package to easily work with MySQL Spatial Data Types and MySQL Spatial Functions. Please check the documentation for your MySQL version. MySQL's Extension for Spatial Data was added in MySQL 5.5 but many Spatial Functions were changed in 5.6 and 5.7. -
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Application for realtime decoding & auralization of spatial audio formats. In development - some features not yet available.
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C-squares
Concise spatial query and representation system (c-squares)
C-squares is an easily implemented method for storage, querying and display of spatial data locations, based on a hierarchical, grid-based representation of the Earth' surface. Source code for encoding, decoding, mapping, etc. is provided via this site. Additional support is available by contacting the system developer, Tony.Rees@marinespecies.org; see also the c-squares home page at http://www.cmar.csiro.au/csquares/ . -
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Atomic Layout
Build declarative, responsive layouts in React using CSS Grid
Atomic Layout is a spatial distribution library for React. It uses CSS Grid to define layout areas and render them as React components. This pattern encourages the separation of elements and spacing, preventing contextual implementations and boosting maintenance of layouts. You control the spacing between the areas in a dedicated layer called Composition. -
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spatialct
R package for measuring spatial concentration
R package for measuring spatial concentration according to the transportation problem approach by Ferrante et al. (2019). -
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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. The models have achieved state-of-the-art results on benchmark datasets such as UCF101 and HMDB51, and also won first place in the CVPR 2017 Charades Challenge. ... -
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GEOMS2
Geostatistics and geosciences modeling software
GEOMS2 is a geostatistics and geosciences modeling software. Provides interface for grid (mesh), point, surface and data (non-spatial) objects. It has a 3D viewer and 2D plots using the well known Python engines Mayavi and Matplotlib. It has several functions to manipulate your data as well as provide univariate and multivariate analysis. NOTE: The software is still an early beta. Please tell us if you found a bug. Download datasets for students of Geostatistics 2017 (Petroleum Engineering): https://sourceforge.net/projects/geoms2/files/Geostatistics_Petroleum.zip/download Download datasets for students of Geostatistics 2017 (Geology and Mining Engineering): https://sourceforge.net/projects/geoms2/files/Geostatistics_Mining.zip/download Old: http://sourceforge.net/projects/geoms2/files/SETS_geoestatistica2_2015.7z/download https://sites.google.com/site/cmrpsoftware/downloads/Quarry_sets.7z?... -
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OME-3DR
3D cell reconstruction and quantitative analysis based on OME data
For big OME data analysis, we integrate commonly used quantitative methods, describe our novel strategies to quantify and analyze biological markers related to the cell or organelle spatial-coordinate model, and present open-source OME-3-Dimensional Reconstruction (OME-3DR), a flexible, programmable and batch-oriented tool based on OME data, for reconstructing 3-dimensional (3D) spatial conformations and conducting further analyses, such as the identification, counting, localization and tracking of bio-imaging markers, calculation of model-contour parameters for association analyses, establishing spatial-coordinate system, 3D co-localization analyses and so on. ... -
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Programs and source codes of benchmarking five well-known spatially-enabled RDF stores with a focus on GeoSPARQL-compliance and query performance.
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gt-jdbc-korean
Korean Spatial DBMS Driver
The Development of Domestic Spatial DBMS Driver supporting java based Open Source GIS(GeoServer, uDig) ● Manual: - https://sourceforge.net/projects/gt-jdbc-korean/files/GeoServer-uDig_KoreanSpatialDBMS_Manual_ko_v.1.0.pdf ● DataStore plugins: - Altibase Plugin( http://www.mangosystem.com:8080/gxt/docs/data/database/altibase.html ) - Tibero Plugin( http://www.mangosystem.com:8080/gxt/docs/data/database/tibero.html ) - Kairos Plugin( http://www.mangosystem.com:8080/gxt/docs/data/database/kairos.html ) - NGI format - ESRI Personal GDB License :: OSI-Approved Open Source :: GNU Library or Lesser General Public License version 2.0 (LGPLv2) -
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wisp
Wisp - A preference based location finder app
...It needs manual research and lot of intuitive processes to find the best location according to some earlier knowledge about the place. It is mainly about accessing publicly available spatial data, applying a simple algorithm to summarise the data according to given preferences, and visualising the result on a map. We introduced JJCluster to eliminate the rigorous way of researching about a place and visualizing the location in real time. This algorithm successfully finds the heart of a city when used in Wisp application. ... -
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Butteraugli
Estimates the psychovisual difference between two images
butteraugli is a perceptual similarity metric designed to estimate how noticeable differences between two images will be to the human eye. Instead of simple pixel math, it models aspects of human vision—color sensitivity, spatial masking, and contrast perception—to highlight differences that viewers actually see. The core tool outputs a single “distance” score along with per-pixel or per-region maps that show where artifacts are most objectionable. These maps make it practical to tune compressor settings and confirm whether bitrate reductions are visually acceptable. ... -
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VRTK
An example of how to use the Tilia packages to create great content
VRTK is a collection of useful, reusable solutions to common problems found when building for virtual reality. VRTK aims to help productivity by speeding up the creation process from prototyping ideas to building complete solutions. The passion behind VRTK is to try and enable as many people as possible to build for VR, from seasoned developers to complete beginners who have a wonderful idea in their head but are unsure of how to create it. VRTK aims to be easy to understand so the absolute... -
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GeoNotebook
A Jupyter notebook extension for geospatial visualization and analysis
...It integrates with GeoJS and other geospatial services to enable rich, interactive map rendering, layer control, and GIS data manipulation alongside traditional code and markdown cells in a Jupyter environment. Users can execute Python geospatial analysis and immediately visualize results on slippy web maps, allowing them to explore, annotate, and interpret large spatial datasets without leaving the notebook. GeoNotebook bridges the gap between data science workflows and GIS exploration by combining the flexibility of interactive notebooks with browser-based map display driven by a Python backend and WebGL/Canvas tools. It supports workflows that include map reprojection, layer interaction, and tile serving, which are essential for real world geoscience and environmental analysis. -
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Spatial Media
Specifications and tools for 360º video and spatial audio
spatial-media provides tools for working with spherical video and spatial audio metadata so players and platforms can correctly render immersive media. The utilities inject, inspect, and extract metadata in common container formats (MP4/WebM) to signal 360° projection type, stereoscopy mode, and spatial audio layout. Creators use it to prepare 360/VR180 assets for upload so services know whether a video is monoscopic, top-bottom stereo, or side-by-side, and whether ambisonic audio is present. ... -
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Tensorpack
A Neural Net Training Interface on TensorFlow, with focus on speed
Tensorpack is a neural network training interface based on TensorFlow v1. Uses TensorFlow in the efficient way with no extra overhead. On common CNNs, it runs training 1.2~5x faster than the equivalent Keras code. Your training can probably gets faster if written with Tensorpack. Scalable data-parallel multi-GPU / distributed training strategy is off-the-shelf to use. Squeeze the best data loading performance of Python with tensorpack.dataflow. Symbolic programming (e.g. tf.data) does not... -
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libpong
Secure Geo-Spatial Data Transmission
The libPong project aims to provide a secure software layer for the transmission of geo-spatial data from a mobile device to a sql database. This includes the transmission of images captured while on the go and gps tracks recorded while hiking. As a usage example, the libPong software allows to produce a multi-media show from all the mobile data and images captured during a vacation. -
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Dynamic Routing Between Capsules
A PyTorch implementation of the NIPS 2017 paper
Dynamic Routing Between Capsules is a PyTorch implementation of the Capsule Network architecture originally proposed to address limitations in traditional convolutional neural networks. Capsule networks aim to improve how neural models represent spatial hierarchies and relationships between objects within images. Instead of scalar neuron activations, capsules output vectors that encode both the presence of features and their spatial properties such as orientation or pose. The repository implements the dynamic routing algorithm between capsules, which allows lower-level features to route their outputs to higher-level structures that best represent the detected patterns. ... -
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SG2Im
Code for "Image Generation from Scene Graphs", Johnson et al, CVPR 201
...The pipeline typically predicts object layouts (bounding boxes and masks) from the graph, then renders a realistic image conditioned on those layouts. This separation lets the model reason about geometry and composition before committing to texture and color, improving spatial fidelity. The repository includes training code, datasets, and evaluation scripts so researchers can reproduce baselines and extend components such as the graph encoder or image generator. In practice, sg2im demonstrates how structured semantics can guide generative models to produce controllable, compositional imagery. -
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sf (Simple Features)
Simple Features for R
sf is an R package that implements “simple features” (standardized vector spatial data) for R. It allows spatial vector data (points, lines, polygons etc.) to be represented as records in data frames (or tibbles) with geometry list columns, and performs spatial operations (geometry operations, coordinate reference system transformations, reading/writing spatial data, integration with spatial databases etc.).
