Skip to main content

Python tools for processing raster and vector data for deep learning applications. GDAL needs to be installed already.

Project description

PyRaster

PyRaster is a package for processing raster and vector files and preparing training/test data for deep learning applications. PyRaster depends on the python library called GDAL with versions after 2.2. The GDAL library does not however simply get installed using pip. You have to run the following commands in the terminal and then install the version that your system supports. Please note that this is tested and works on Ubuntu:

sudo apt-get install libgdal-dev
export CPLUS_INCLUDE_PATH=/usr/include/gdal
export C_INCLUDE_PATH=/usr/include/gdal
gdal-config --version

The last command above prints out the GDAL version that you could install on your system. You could install version 2.2.3 for example as follows:

pip install GDAL==2.2.3

After install GDAL, you could isntall PyRaster as follows:

pip install PyRaster

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyraster-0.1.1.tar.gz (3.6 kB view hashes)

Uploaded Source

Built Distribution

pyraster-0.1.1-py3-none-any.whl (7.8 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page