The page above mentions a number of packages available for using R-CNNs. For now, this page will concentrate on Detectron2.
"Detectron2 is Facebook AI Research's next generation software system that implements state-of-the-art object detection algorithms. It is a ground-up rewrite of the previous version, Detectron, and it originates from maskrcnn-benchmark." --Detectron2 site
It also includes support for Fast R-CNN, Faster R-CNN and other R-CNNs.
See the Directron2 site for using and training. For now, this page will only cover installation.
Installing Detectron2 in a Python virtual environment on HPRC clusters
This is a basic/starter build. Note that this build does not include a CUDA-enabled OpenMPI so is limited to the CPUs/GPUs on a single node.
Modules used include:
This build includes a CUDA-enabled OpenMPI for using multiple GPU nodes to speed up processing.