scikit-image 0.15.0-foss-2018b-Python-3.6.6

Unsupported: Use of this version of scikit-image is not supported. More information on our Applications Support and Retention Policy.

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 0.15.0-foss-2018b-Python-3.6.6

To load the module for scikit-image 0.15.0-foss-2018b-Python-3.6.6 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):

module load bear-apps-unsupported/handbuilt/2019
module load scikit-image/0.15.0-foss-2018b-Python-3.6.6

There is a GPU enabled version of this module: scikit-image 0.15.0-fosscuda-2018b-Python-3.6.6

BEAR Apps Version

2019h

Extensions

  • imageio 2.5.0
  • networkx 2.3
  • PyWavelets 1.0.3
  • scikit-image-0.15.0

More Information

For more information visit the scikit-image website.

Dependencies

This version of scikit-image has a direct dependency on: dask/0.19.4-foss-2018b-Python-3.6.6 foss/2018b matplotlib/3.1.0-foss-2018b-Python-3.6.6 Pillow/5.3.0-foss-2018b-Python-3.6.6 Python/3.6.6-foss-2018b Qhull/2015.2-GCCcore-7.3.0

Other Versions

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

Last modified on 2nd July 2019