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v0.6.1
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@TjarkMiener TjarkMiener released this 15 Jul 22:33
· 455 commits to master since this release
v0.6.1
0e781bf

CTLearn Release v0.6.1

Output (dl2-like) format handling and creation of an IRF builder using pyirf #142
Store keras model in onnx format #143

Major Features

  • Speeding up the output writing by pseudo-chunk processing of the keras predictions
  • Clean up CNNRNN model via TimeDistributed layer
  • Enable learning rate reducer (including early stopper) callback
  • Automatised class label handling for multiple particle types
  • Set cleaning from the command line via a flag. Therefore default models with cleaned images can be removed.

Minor Improvements

  • Store only the best model checkpoints for validation metric
  • Improve installation process of TF by removing cpu/gpu mode
  • Upgrade supplementary scripts to the new output format
  • Upgrade to dl1dh v0.10.7, ctapipe v0.15.0 & python 3.9

Bug Fixes and Other Changes

Known Issues

  • Particle classification is not working with Multitask Learning models yet.
  • There is some version incompatibility (numpy and numba) when trying to run on Wilkes-3.
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