Data format and image processing tools, routines, and framework for LAr TPC-derived images. Developing as bridge between LArSoft and Caffe/Tensorflow.

• ROOT
• Python (optional)
• OpenCV 3 (optional)
• LArLite (optional)
• LArSoft (optional)

0. Dependencies to build with are determined through the presence of environment variables or executables in your PATH:

• ROOT: determined through the ability to run rootcling (ROOT6) or rootcint (ROOT5)
• OPENCV: the presence of OPENCV_INCDIR and OPENCV_LIBDIR
• LArLite: the presence of LARLITE_BASEDIR (created when one runs configure/setup.sh in the larlite root folder)
• LArSoft: if MRB_TOP defined and the uboonecode source directories found, will build LArSoft API

1. clone the repository

   git clone https://github.com/LArbys/LArCV.git

2. go into the LArCV directory

3. run the build configuration script

   source configure.sh

4. build

   make

That's it.

Checkout the Wiki for notes on using this code.