Ultralytics 8.2.90-foss-2023a

Ultralytics YOLOv8 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification.

Accessing Ultralytics 8.2.90-foss-2023a

To load the module for Ultralytics 8.2.90-foss-2023a please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load bear-apps/2023a
module load Ultralytics/8.2.90-foss-2023a

There is a GPU enabled version of this module: Ultralytics 8.2.90-foss-2023a-CUDA-12.1.1

BEAR Apps Version

2023a

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.

Extensions

• ultralytics 8.2.90
• ultralytics-thop-2.0.6

More Information

For more information visit the Ultralytics website.

Dependencies

This version of Ultralytics has a direct dependency on: foss/2023a matplotlib/3.7.2-gfbf-2023a OpenCV/4.8.1-foss-2023a-contrib Pillow/10.0.0-GCCcore-12.3.0 psutil/5.9.8-GCCcore-12.3.0 py-cpuinfo/9.0.0-GCCcore-12.3.0 Python/3.11.3-GCCcore-12.3.0 Python-bundle-PyPI/2023.06-GCCcore-12.3.0 PyTorch/2.1.2-foss-2023a PyYAML/6.0-GCCcore-12.3.0 SciPy-bundle/2023.07-gfbf-2023a Seaborn/0.13.2-gfbf-2023a torchvision/0.16.0-foss-2023a tqdm/4.66.1-GCCcore-12.3.0

Other Versions

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

Last modified on 10th September 2024