Search Results for "weight scale software"

L7 is a WebGL-based open source large-scale geospatial data visual analysis development framework launched by Ant Financial's AntV data visualization team. The L in L7 stands for Location, and the 7 stands for the seven continents of the world, implying the ability to provide visual analysis for global location data. L7 focuses on the visual expression of data, and realizes clear and effective expression from data to information through the setting of visual variables such as color, size,...

New scientific software supporting the automated detection of the early map projection and its parameters. Useful for studying and analysis of different kinds of maps with the lack of information about the map projection. The analysis is based on the minimization of residuals between control points on the early and current reference maps. Designed for cartographers as well as for enthusiasts.

Designed to be a simple light weight and easily accessible way of mapping pathing information to a unlimited number of objects. The template is also designed to keep a minimum profile when idle, and efficient as possible means of updating a network. Not limited to, but primarily envisioned to give game developers with limited knowledge of higher-grade routing protocols a out of the box means for pathing.

By using a neural net from neuroph.org with the programmlanguage Java, you can change the net by this software. Easy watch it on the screen and move the values up or down. More or less value at the output neurons. Saving, Loading from different .nnet`s. Adding comments. Changing the visible output neuron Setting wished input neurons to get visible. A small fast and easy weight version and a continuing version, which should get involved in the neuroph project.

This object-oriented python module converts 3D VRML models into Collada and integrates it in Google Earth (GE) through the Keyhole Markup Language (KML). It enables the visualisation of large scale aerial/satellite images in the Geo Browser.