imgaug 0.4.0-fosscuda-2019b-Python-3.7.4

This python library helps you with augmenting images for your machine learning projects. It converts a set of input images into a new, much larger set of slightly altered images.

Accessing imgaug 0.4.0-fosscuda-2019b-Python-3.7.4

To load the module for imgaug 0.4.0-fosscuda-2019b-Python-3.7.4 please use this command on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs):

module load imgaug/0.4.0-fosscuda-2019b-Python-3.7.4

There is a CPU version of this module: imgaug 0.4.0-foss-2019b-Python-3.7.4

BEAR Apps Version

2020h

More Information

For more information visit the imgaug website.

Dependencies

This version of imgaug has a direct dependency on: fosscuda/2019b imageio/2.6.1-fosscuda-2019b-Python-3.7.4 matplotlib/3.1.1-fosscuda-2019b-Python-3.7.4 OpenCV/4.2.0-fosscuda-2019b-Python-3.7.4 Pillow/6.2.1-GCCcore-8.3.0 Python/3.7.4-GCCcore-8.3.0 scikit-image/0.16.2-fosscuda-2019b-Python-3.7.4 Shapely/1.7.0-fosscuda-2019b-Python-3.7.4

Required By

This version of imgaug is a direct dependent of: AugmentedAutoencoder/0c8100f-fosscuda-2019b-Python-3.7.4

Other Versions

These versions of imgaug 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.

Version BEAR Apps Version
0.4.0-foss-2019b-Python-3.7.4 2019b

Last modified on 19th August 2020