Search Results for "open .dae files"

The netCDF Operators, or NCO, are a suite of file operators which facilitate manipulation and analysis of self-describing data stored in the (freely available) netCDF and HDF formats. Volunteers welcome! See homepage for details and download links.

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...

We've moved to Gitlab! (gitlab.com/remikz/nccmp) Compares two NetCDF files in-place to find specific variables, dimensions and/or attributes that differ. Highly recommended for any test-driven environment and regression testing large datasets.

This software is for processing binary Doppler radar data in, but not limited to, DORADE sweepfile format. The software can modify metadata and moment data using quality control routines and extract moment data as comma-delimited ASCII files.

The alio library can be dynamically pre-linked to existing executables and replaces file IO (i.e. calls to glibc's IO functions). This allows to gather statistics about IO, create IO trace files, or even implement a different IO behaviour (e.g. use separate IO servers to handle IO).

This is going to be a set of tools which is intended to be used with huge OSM files like the planet files in XML format. The parser reads directly from packed *.gz files and it is not needed to unpack the OSM/XML data files to the local disk. Now in 0.3.0: osm_tags: tag analyzer (like tag watch) osm_split: split osm file in single files for nodes, ways and relations and collect some meta information (will be used as input for other tools). osm_cut: create rectangular...

...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. The C functions assume a particular format for the HDF5 file contents, and provide functions for reading and writing data to such files. There is also a Python API that provides a procedural as well as an object-oriented interface to these functions. A Python GUI for interacting with such datasets is also part of the project. While there are other open-source GIS, and image-processing packages available, this one is designed to be comprehensive, work on 3 major platforms, user-extensible, fast, and able to handle huge datasets. ...