Search Results for "c++ to python converter"

GeographicLib is a small C++ library for: geodesic and rhumb line calculations; conversions between geographic, UTM, UPS, MGRS, geocentric, and local cartesian coordinates; gravity (e.g., EGM2008) and geomagnetic field (e.g., WMM2020) calculations.

LAnd Survey Tools "LAST" was created to preserve and expand on the work invested in an old, privately used, DOS based land survey construction and data collection application by porting much of the C++ coded logic and design concept over to Python.

To use precompiled wheels: 1) go to releases (Files) and download tarball needed; 2) install it with command: python3 -m pip install /path/to/wheel.whl Or simply use URL in pip: python3 -m pip install https://sourceforge.net/projects/gdal-wheels-for-linux/files/GDAL-3.1.4-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl/download URL may be found under "View details" button (i) To use GDAL in C/C++ project you need to link gdal lib AND all libs located at dir GDAL.libs (usually this folder resides inside python site-packages) To compile your own wheels see information given at forefather project: https://github.com/youngpm/gdalmanylinux Usually this is done via command `make wheels` GDAL wheels for Windows are provided by Christoph Gohlke at https://www.lfd.uci.edu/~gohlke/pythonlibs/#gdal Built with PROJ (proj.db is included), GEOS, EXPAT. ...

Earth Enterprise is the open source version of Google Earth Enterprise (GEE), a powerful geospatial application suite that enables organizations to build and host custom 3D globes and 2D maps using their own imagery and data. Unlike Google Maps or Google Earth, Earth Enterprise does not include Google’s proprietary imagery but instead provides the tools needed to manage and visualize private geospatial datasets. The system is composed of three main components: Fusion, which processes and...

GPlates is a plate-tectonics program. Manipulate reconstructions of geological and paleo-geographic features through geological time. Interactively visualize vector, raster and volume data. PyGPlates is the GPlates Python library. Get fine-grained access to GPlates functionality in your Python scripts.

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...

The Geocanvas project aims to provide a very small and simple set of APIs to assist the developer in creating geographically referenced canvas applications within the GTK/Gnome environment.

PAGC is a command line and web service C library for performing postal address geocoding. A postal address geocoder takes a sufficiently detailed postal addresses and produces a digital map that displays the spatial location of those addresses.

Forest01 is a tool for the automatic mapping of forest based on Airborne Laser Scanner data. The forest mapping is performed by means of quantitative criteria typical of forest definitions, namely minimum threshold for the height of trees, canopy cover, forest area size and width.

openModeller is a complete C++ framework for species potential distribution modelling. The project also includes a graphical user interface, a web service interface and an API for Python.

GSI student toolbox is a software package made for teaching purposes. It allows you to perform seismic inversion using global sthocastic inversion method made within CERENA/CMRP. NOTE: you can perform the same operations done with GSI Student Toolbox with our newest software GEOMS2. You can download the beta release here: https://sourceforge.net/projects/geoms2/

Project created to develop customizations in OpenGeo, to contribute to the standardization of formats Brazilians. Tool-Kit aplication for system Geo Integrations, using java frameworks.

openBmap collects data and provides open maps and statistics of all communicating objects: cellular antennas, wifi hotspots. All softwares from back-end to client are open-source under AGPL v3 license.

Mapnik is an OpenSource C++/Python toolkit for developing GIS (Geographic Information Systems) applications. At the core is a C++ shared library providing algorithms/patterns for spatial data access and visualization.

OpenPMU is a collaborative project developing a software defined Phasor Measurement Unit for Smart Grids and electrical utilities. This project is currently hosted by Queen’s University Belfast.

XCSoar is a tactical glide computer for Android, Linux, macOS, and Windows.

View and navigate on raster map with GPS. I want to use it in offroad expeditions. Import oziexplorer raster map. Use GDAL readable format, geotiff is preferred. Import/export data to GPX format. Using python scripts for core AI tasks.

This is the worlds first and probably only FLOSS project aimed to create a lowbudget, based on availble technology, cruise missile. No this is not a Joke, its for real. Why? Since no one has tried to do this before and certainly not under the GPL.

ZMapServer is a Zope Product that provides a clean interface to the MapServer (http://mapserver.gis.umn.edu) web mapping application.

The NHD Software Project is a collection of the utilities, scripts, APIs, standards, and application extensions used for the quality assurance of stream and river data, conflation/generalisation of hydrographic data, and other hydrologic data maintenance.

GrassView is a wxPython GUI for GRASS, the GNU Geographical Information System.

GeoSciPy is a set of C and Python functions that provide an API for all aspects of Geoscience and Remote Sensing Applications. Functions include reading/writing of many data formats, images, vectors, ..., and processing of images, vectors, ... including map projections, ... The library is written C, using HDF5 as the file format for storage of all remotely-sensed data and ancillary data, as well as processed data.