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Task #19936

Change FD CNN to use TF

Added by Tingjun Yang about 2 years ago. Updated about 2 years ago.

Status:
New
Priority:
Normal
Assignee:
Tingjun Yang
Start date:
05/13/2018
Due date:
% Done:

0%

Estimated time:
Duration:

Description

We would like to change the FD CNN model to use the TF to improve speed and to keep up with the latest development.

I think there are two steps:
1. Apply the ProtoDUNE TF model to the FD and evaluate its performance.
2. Retrain a TF model for the FD.

History

#1 Updated by Tingjun Yang about 2 years ago

Here is information from Leigh:

  if ((fNNetModelFilePath.length() > 5) &&
      (fNNetModelFilePath.compare(fNNetModelFilePath.length() - 5, 5, ".nnet") == 0))
  {
    fNNet = new nnet::KerasModelInterface(fNNetModelFilePath.c_str());
  }
        else if ((fNNetModelFilePath.length() > 3) &&
            (fNNetModelFilePath.compare(fNNetModelFilePath.length() - 3, 3, ".pb") == 0))
        {
                fNNet = new nnet::TfModelInterface(fNNetModelFilePath.c_str());
        }
  else
  {
    mf::LogError("PointIdAlg") << "File name extension not supported.";
  }

If you give it a .nnet file it runs Keras, if you give it a .pb file it runs TF
An FD version of the definition in here would be appropriate: dunetpc/fcl/common/featurelabelingmodules.fcl
The only definition there at the moment is the protoDUNE one

I am going to give it a try.

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