Description:
picoraster 0.0.2
picoraster
Small Python library for processing large raster images.
Currently a work in progress.
Example usage
source = AWSLandsat8Source("LC08_L1TP_139045_20170304_20170316_01_T1", band="8")
# Lazily create a band and build a description of processing steps
band = Band(source) \
.and_then(Resize(extents)) \
.and_then(HistogramAdjust()) \
.and_then(Reproject(crs))
# Forces computation
array = band.render_to_array()
band.render_to_file("output.tif")
Installation
Installing GDAL is the most challenging part. Installing directly from PyPI is historically unlikely to work.
First, install numpy:
pip install numpy
Then, choose one of the following:
install with a system package manager
Ubuntu: sudo apt install libgdal-dev
MacOS: brew install gdal
install from conda-forge: conda install -c conda-forge gdal
compile manually
Afterwards, the correct Python bindings can be installed with
pip install GDAL==$(gdal-config --version) --global-option=build_ext --global-option="-I/usr/include/gdal"
Finally,
pip install picoraster
Running tests
python -m src.tests
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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