imgaug 0.4.0-foss-2022a

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-foss-2022a

To load the module for imgaug 0.4.0-foss-2022a please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load bear-apps/2022a module load imgaug/0.4.0-foss-2022a

There is a GPU enabled version of this module: imgaug 0.4.0-foss-2022a-CUDA-11.7.0

BEAR Apps Version

2022a

Architectures

EL8-cascadelake — EL8-icelake — EL8-sapphirerapids

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.

More Information

For more information visit the imgaug website.

Dependencies

This version of imgaug has a direct dependency on: foss/2022a imageio/2.22.2-foss-2022a matplotlib/3.5.2-foss-2022a OpenCV/4.6.0-foss-2022a-contrib Pillow/9.1.1-GCCcore-11.3.0 Python/3.10.4-GCCcore-11.3.0 scikit-image/0.19.3-foss-2022a Shapely/1.8.2-foss-2022a

Required By

This version of imgaug is a direct dependent of: DeepLabCut/2.3.6-foss-2022a

Other Versions

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

Version	BEAR Apps Version
0.4.0-foss-2022a-CUDA-11.7.0	2022a
0.4.0-foss-2019b-Python-3.7.4	2019b

Last modified on 6th December 2023