Prediction of solar magnetic flux emergence using deep neural nets. "Active region (AR) oracle"

1. Virtual environments are strongly recommended, to prevent dependencies with conflicting versions. Create a conda virtual environment and activate it:

$conda create -n aracle python=3.6 -y
$conda activate aracle

2. Now do one of the following.

Option 2(a): clone the repo (please do this if you'd like to contribute to the development).

$git clone https://github.com/jiwoncpark/aracle.git
$cd aracle
$pip install -e . -r requirements.txt

Option 2(b): pip install the release version (only recommended if you do not plan to contribute to the development).

$pip install aracle

3. (Optional) To run the notebooks, add the Jupyter kernel.

$python -m ipykernel install --user --name aracle --display-name "Python (aracle)"

1. Generate the training toy data, e.g.

$python -m aracle.toy_data.generate_toy_data 5 224 ./my_data

2. Run

$python -m aracle.train_faster_rcnn

You can visualize the training results by running

$tensorboard --logdir runs

Suggestions are always welcome! If you encounter issues or areas for improvement, please message @jiwoncpark or make an issue.