d-bohn/openpose_aci

get openpose on PSU ACI

openpose_aci

Code and workflow for building OpenPose in Docker Hub and modifying it with Singularity Hub for use with PSU ACI HPC clusters.

NOTE: This is the GPU version of OpenPose, for the CPU-only version please refer to the appropriately labelled branch.

Quick Start

ssh into the PSU ACI HPC with X11 flags.

ssh [email protected] -X -Y

Start an interactive session using qsub. We need a lot of memory for the CPU version of OpenPose

qsub -A open -I -X -l walltime=24:00:00 -l nodes=5:ppn=10 -l pmem=20gb

From ACI pull the OpenPose image and shell into it.

singularity pull -n openpose_aci.simg shub://d-bohn/openpose_aci

singularity exec -n openpose_aci.simg /bin/bash

Finally, once inside the image you can run the example utilizing the following code:

cd /opt/openpose
mkdir data && mkdir data/poses

./build/examples/openpose/openpose.bin --video examples/media/video.avi --write_video ./data/result.avi --write_json ./data/poses --display 0

Image Builds

The OpenPose docker image was built on docker hub.

The OpenPose singularity image was built using the docker image base and converting it to a singularity image via singularity hub.

Setup for linking Github with Docker Hub and Singularity Hub can be found here:

• docker Hub
• Singularity Hub

The Singularity file specifies creating a Singularity-compatible image from the docker image, as well as adding access to folders within ACI, specifically:

# ACI mappings so you can access your files.
mkdir -p /storage/home
mkdir -p /storage/work
mkdir -p /gpfs/group

Notes

• The OpenFace docker image is large (> 3.7GB). It is built on Ubuntu 16.04.

• The current image is built with only CPU support, but can easily be adapted to include GPU support when that is available (see first two make flags in Dockerfile)

• The CPU version is SLOW. The example above takes several minutes to execute. Runs at between 0.3 and 0.1 frames/second.