scikit-image 0.17.1-foss-2020a-Python-3.8.2

There is a newer version of scikit-image

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 0.17.1-foss-2020a-Python-3.8.2

To load the module for scikit-image 0.17.1-foss-2020a-Python-3.8.2 please use this command on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs):

module load scikit-image/0.17.1-foss-2020a-Python-3.8.2

BEAR Apps Version

2020a

Architectures

EL8-cascadelake

The listed architectures consist of two part: 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

  • imageio 2.9.0
  • imread 0.7.4
  • networkx 2.4
  • pooch 1.1.1
  • PyWavelets 1.1.1
  • scikit-image-0.17.1
  • tifffile 2020.7.17

More Information

For more information visit the scikit-image website.

Dependencies

This version of scikit-image has a direct dependency on: dask/2.18.1-foss-2020a-Python-3.8.2 foss/2020a matplotlib/3.2.1-foss-2020a-Python-3.8.2 Pillow/7.0.0-GCCcore-9.3.0-Python-3.8.2 Python/3.8.2-GCCcore-9.3.0

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 5th January 2021