scikit-image 0.21.0-foss-2022b

Scikit-learn integrates machine learning algorithms in the tightly-knit scientific Python world, building upon numpy, scipy, and matplotlib. As a machine-learning module, it provides versatile tools for data mining and analysis in any field of science and engineering. It strives to be simple and efficient, accessible to everybody, and reusable in various contexts.

Accessing scikit-image 0.21.0-foss-2022b

To load the module for scikit-image 0.21.0-foss-2022b please use this command on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs):

module load scikit-image/0.21.0-foss-2022b

BEAR Apps Version

2019a

Extensions

  • imread 0.7.4
  • lazy_loader 0.3
  • PyWavelets 1.4.1
  • scikit-image-0.21.0
  • tifffile 2023.7.18

More Information

For more information visit the scikit-image website.

Dependencies

This version of scikit-image has a direct dependency on: dask/2023.7.1-foss-2022b foss/2022b imageio/2.31.1-foss-2022b matplotlib/3.7.0-gfbf-2022b networkx/3.0-gfbf-2022b Pillow/9.4.0-GCCcore-12.2.0 Python/3.10.8-GCCcore-12.2.0

Required By

This version of scikit-image is a direct dependent of: BEAR-Python-MSc-Bioinformatics/2022b-foss-2022b

Other Versions

These versions of scikit-image are available on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs). These will be retained in accordance with our Applications Support and Retention Policy.

Last modified on 9th August 2023