OpenPose 1.7.0-foss-2022a-CUDA-11.7.0

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation.

Accessing OpenPose 1.7.0-foss-2022a-CUDA-11.7.0

To load the module for OpenPose 1.7.0-foss-2022a-CUDA-11.7.0 please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load bear-apps/2022a
module load OpenPose/1.7.0-foss-2022a-CUDA-11.7.0

BEAR Apps Version



EL8-icelake (GPUs: NVIDIA A100, NVIDIA A30) — 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 OpenPose website.


This version of OpenPose has a direct dependency on: Boost/1.79.0-GCC-11.3.0 CUDA/11.7.0 cuDNN/ FlexiBLAS/3.2.0-GCC-11.3.0 foss/2022a gflags/2.2.2-GCCcore-11.3.0 glog/0.6.0-GCCcore-11.3.0 googletest/1.11.0-GCCcore-11.3.0 HDF5/1.12.2-gompi-2022a LMDB/0.9.29-GCCcore-11.3.0 OpenCV/4.6.0-foss-2022a-CUDA-11.7.0-contrib protobuf/3.19.4-GCCcore-11.3.0 protobuf-python/3.19.4-GCCcore-11.3.0 Python/3.10.4-GCCcore-11.3.0 scikit-image/0.19.3-foss-2022a SciPy-bundle/2022.05-foss-2022a snappy/1.1.9-GCCcore-11.3.0

Last modified on 15th January 2024