- * dyncnn is a deep-learning algorithm for the prediction of
- * interacting object dynamics
- *
- * Copyright (c) 2016 Idiap Research Institute, http://www.idiap.ch/
- * Written by Francois Fleuret <francois.fleuret@idiap.ch>
- *
- * This file is part of dyncnn.
- *
- * dyncnn is free software: you can redistribute it and/or modify it
- * under the terms of the GNU General Public License version 3 as
- * published by the Free Software Foundation.
- *
- * dyncnn is distributed in the hope that it will be useful, but
- * WITHOUT ANY WARRANTY; without even the implied warranty of
- * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
- * General Public License for more details.
- *
- * You should have received a copy of the GNU General Public License
- * along with dyncnn. If not, see <http://www.gnu.org/licenses/>.
- *
- */
+
+ flatland is a simple 2d physical simulator
+
+ Copyright (c) 2016 Idiap Research Institute, http://www.idiap.ch/
+ Written by Francois Fleuret <francois.fleuret@idiap.ch>
+
+ This file is part of flatland
+
+ flatland is free software: you can redistribute it and/or modify it
+ under the terms of the GNU General Public License version 3 as
+ published by the Free Software Foundation.
+
+ flatland is distributed in the hope that it will be useful, but
+ WITHOUT ANY WARRANTY; without even the implied warranty of
+ MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
+ General Public License for more details.
+
+ You should have received a copy of the GNU General Public License
+ along with flatland. If not, see <http://www.gnu.org/licenses/>.
+
+*/