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RAMP challenge for object detection in Smilie simulation of Laser Wakefield Acceleration Scenario

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RAMP starting-kit object detection in Laser Wakefield Acceleration Simulation outputs from the Smilei PIC code

Authors : Mathieu Lobet, Hiba Taher, Martial Mancip, Merieme Bourenane (Maison de la Simulation, Saclay), Francesco Massimo (LPGP, Univ. Paris-Saclay), François Caud, Thomas Moreau (DATAIA, Univ. Paris-Saclay)

Getting started

Install

To run a submission and the notebook you will need the dependencies listed in requirements.txt. You can install the dependencies with the following command-line:

pip install -U -r requirements.txt

If you are using conda, we provide an environment.yml file for similar usage.

Challenge description

Get started with the dedicated notebook

Test a submission

The submissions need to be located in the submissions folder. For instance for my_submission, it should be located in submissions/my_submission.

To run a specific submission, you can use the ramp-test command line:

ramp-test --submission my_submission

In case of a very long ramp-test, you can select a subset of the data to run it with the '--quick-test' option (if available in problem.py)

ramp-test --submission my_submission --quick-test

You can get more information regarding this command line:

ramp-test --help

To go further

You can find more information regarding ramp-workflow in the dedicated documentation

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RAMP challenge for object detection in Smilie simulation of Laser Wakefield Acceleration Scenario

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