--- a
+++ b/scripts/commands/training_supervised.py
@@ -0,0 +1,79 @@
+"""
+If you use this code, please cite one of the SynthSeg papers:
+https://github.com/BBillot/SynthSeg/blob/master/bibtex.bib
+
+Copyright 2020 Benjamin Billot
+
+Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in
+compliance with the License. You may obtain a copy of the License at
+https://www.apache.org/licenses/LICENSE-2.0
+Unless required by applicable law or agreed to in writing, software distributed under the License is
+distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
+implied. See the License for the specific language governing permissions and limitations under the
+License.
+"""
+
+
+# imports
+from argparse import ArgumentParser
+from SynthSeg.training_supervised import training
+from ext.lab2im.utils import infer
+
+parser = ArgumentParser()
+
+# ------------------------------------------------- General parameters -------------------------------------------------
+# Positional arguments
+parser.add_argument("image_dir", type=str)
+parser.add_argument("labels_dir", type=str)
+parser.add_argument("model_dir", type=str)
+
+# label maps parameters
+parser.add_argument("--segmentation_labels", type=str, dest="segmentation_labels", default=None)
+parser.add_argument("--neutral_labels", type=int, dest="n_neutral_labels", default=None)
+parser.add_argument("--subjects_prob", type=str, dest="subjects_prob", default=None)
+
+# output-related parameters
+parser.add_argument("--batch_size", type=int, dest="batchsize", default=1)
+parser.add_argument("--target_res", type=int, dest="target_res", default=None)
+parser.add_argument("--output_shape", type=int, dest="output_shape", default=None)
+
+# ----------------------------------------------- Augmentation parameters ----------------------------------------------
+# spatial deformation parameters
+parser.add_argument("--no_flipping", action='store_false', dest="flipping")
+parser.add_argument("--scaling", dest="scaling_bounds", type=infer, default=.2)
+parser.add_argument("--rotation", dest="rotation_bounds", type=infer, default=15)
+parser.add_argument("--shearing", dest="shearing_bounds", type=infer, default=.012)
+parser.add_argument("--translation", dest="translation_bounds", type=infer, default=False)
+parser.add_argument("--nonlin_std", type=float, dest="nonlin_std", default=4.)
+parser.add_argument("--nonlin_scale", type=float, dest="nonlin_scale", default=.04)
+
+# resampling parameters
+parser.add_argument("--randomise_res", action='store_true', dest="randomise_res")
+parser.add_argument("--max_res_iso", type=float, dest="max_res_iso", default=4.)
+parser.add_argument("--max_res_aniso", type=float, dest="max_res_aniso", default=8.)
+parser.add_argument("--data_res", dest="data_res", type=infer, default=None)
+parser.add_argument("--thickness", dest="thickness", type=infer, default=None)
+
+# bias field parameters
+parser.add_argument("--bias_std", type=float, dest="bias_field_std", default=.7)
+parser.add_argument("--bias_scale", type=float, dest="bias_scale", default=.025)
+
+parser.add_argument("--gradients", action='store_true', dest="return_gradients")
+
+# -------------------------------------------- UNet architecture parameters --------------------------------------------
+parser.add_argument("--n_levels", type=int, dest="n_levels", default=5)
+parser.add_argument("--conv_per_level", type=int, dest="nb_conv_per_level", default=2)
+parser.add_argument("--conv_size", type=int, dest="conv_size", default=3)
+parser.add_argument("--unet_feat", type=int, dest="unet_feat_count", default=24)
+parser.add_argument("--feat_mult", type=int, dest="feat_multiplier", default=2)
+parser.add_argument("--activation", type=str, dest="activation", default='elu')
+
+# ------------------------------------------------- Training parameters ------------------------------------------------
+parser.add_argument("--lr", type=float, dest="lr", default=1e-4)
+parser.add_argument("--wl2_epochs", type=int, dest="wl2_epochs", default=1)
+parser.add_argument("--dice_epochs", type=int, dest="dice_epochs", default=50)
+parser.add_argument("--steps_per_epoch", type=int, dest="steps_per_epoch", default=10000)
+parser.add_argument("--checkpoint", type=str, dest="checkpoint", default=None)
+
+args = parser.parse_args()
+training(**vars(args))