eo-learn 1.5.7-foss-2023a

Earth observation processing framework for machine learning in Python. eo-learn makes extraction of valuable information from satellite imagery easy.

Accessing eo-learn 1.5.7-foss-2023a

To load the module for eo-learn 1.5.7-foss-2023a please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load bear-apps/2023a
module load eo-learn/1.5.7-foss-2023a

BEAR Apps Version

2023a

Architectures

EL8-cascadelake — EL8-icelake — EL8-sapphirerapids

The listed architectures consist of two parts: OS-CPU. The OS used is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.

Extensions

• aenum 3.1.15
• aiosignal 1.3.2
• dataclasses_json 0.6.7
• dunamai 1.23.0
• eo_learn 1.5.7
• expandvars 0.12.0
• frozenlist 1.5.0
• fs 2.4.16
• fs-s3fs-1.1.1
• Jinja2 3.1.2
• marshmallow 3.26.1
• mypy_extensions 1.0.0
• oauthlib 3.2.2
• poetry_dynamic_versioning 1.5.1
• ray 2.41.0
• requests-oauthlib-2.0.0
• sentinelhub 3.11.1
• tifffile 2025.1.10
• typing_inspect 0.9.0
• utm 0.8.0

More Information

For more information visit the eo-learn website.

Dependencies

This version of eo-learn has a direct dependency on: boto3/1.28.70-GCCcore-12.3.0 Fiona/1.9.5-foss-2023a foss/2023a GDAL/3.7.1-foss-2023a geopandas/0.14.2-foss-2023a Graphviz/8.1.0-GCCcore-12.3.0 graphviz-python/0.20.1-GCCcore-12.3.0 hatchling/1.18.0-GCCcore-12.3.0 matplotlib/3.7.2-gfbf-2023a numba/0.58.1-foss-2023a OpenCV/4.8.1-foss-2023a-contrib poetry/1.5.1-GCCcore-12.3.0 protobuf-python/4.24.0-GCCcore-12.3.0 Pygments/2.18.0-GCCcore-12.3.0 Python/3.11.3-GCCcore-12.3.0 PyYAML/6.0-GCCcore-12.3.0 rasterio/1.3.9-foss-2023a scikit-build/0.17.6-GCCcore-12.3.0 scikit-learn/1.3.1-gfbf-2023a Shapely/2.0.1-gfbf-2023a tqdm/4.66.1-GCCcore-12.3.0 typing-extensions/4.9.0-GCCcore-12.3.0

Last modified on 11th February 2025