deeplearnphysics/ml-larcv2 repository overview

⁠LArCV: Liquid Argon Computer Vision

Image/Volumetric data processing framework developed for particle imaging detectors (LArTPC primarily though much of capability, if not all, is not constrained to it). Developed to interface (LAr)TPC experiment software data to a deep neural network frameworks. Get to know more about this software @ our Wiki⁠

This repository provides larcv docker images with ML libraries (pytorch/tensorflow) as well as other handy python modules. As a result, images tend to be big. For larcv image with minimal set of libraries (no ML), look at this repository⁠. For singularity images, checkout our singularity-hub collections⁠.

⁠Tags

All tags are built on the base linux images hosted in this repository⁠.

• tf-1.12.0 (Dockerfile⁠) ... tensorflow v1.12.0
• pytorch-0.4.1 (Dockerfile⁠) ... pytorch 0.4.1
• pytorch-dev10152018-scn (Dockerfile⁠)... pytorch development head (for v1.0.0 release), tagged October 15th 2018, also include Sparse Submanifold Convolution external libraries.

⁠Wiki

Checkout the Wiki⁠ for notes on using this code.

⁠Notes

For users from 2017 and earlier... This repository is re-created from LArbys/LArCV repository, referred to as larbys version. The larbys version is still under active development for analysis purpose in MicroBooNE experiment. This DeepLearnPhysics/larcv is split for more generic technical R&D work in October 2017.