imgaug 0.4.0-foss-2019b-Python-3.7.4
There is a newer install of imgaug
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-2019b-Python-3.7.4
To load the module for imgaug 0.4.0-foss-2019b-Python-3.7.4 please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):
📋
module load imgaug/0.4.0-foss-2019b-Python-3.7.4
BEAR Apps Version
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/2019b imageio/2.6.1-foss-2019b-Python-3.7.4 matplotlib/3.1.1-foss-2019b-Python-3.7.4 OpenCV/4.2.0-foss-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-foss-2019b-Python-3.7.4 Shapely/1.7.0-foss-2019b-Python-3.7.4
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 | 2022a |
| 0.4.0-foss-2022a-CUDA-11.7.0 | 2022a |
Last modified on 6th August 2020