- Documentation: https://otrain.readthedocs.io.
Generic Tools to help identification of transients in astronomical images, based on Convolutional Neural Network.
- Implement a general tool based on machine learning to help identifying transient in astonmical images.
- Effortless execution through the command line.
- Usable on different kind of images from different telescopes.
- OS-independent, so that it can work on Windows, Mac OS and Linux machines.
- Usage of Docker to allow deployment on different OS, container based on Ubuntu 20.04.
- User provide image cutouts containing real and false transients.
- These cutouts are used to train a CNN algorithm implemented with Keras.
- Built-in diagnostics help to characterise accuracy of training.
- Usage of trained model to classify any new cutouts
See documentation: https://otrain.readthedocs.io.
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.