Added the gpl

[flatland.git] / sequence_generator.cc

diff --git a/sequence_generator.cc b/sequence_generator.cc
index 5caae66..2fa3912 100644 (file)
--- a/sequence_generator.cc
+++ b/sequence_generator.cc
@@ -1,26 +1,26 @@
 
 /*
- *  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/>.
+
+*/
 
 #include <iostream>
 #include <fstream>
@@ -50,7 +50,7 @@ void draw_universe_on_canvas(CanvasCairo *canvas, scalar_t scaling,
 void draw_grabbing_point_on_canvas(CanvasCairo *canvas, scalar_t scaling,
                                    scalar_t xg, scalar_t yg,
                                    scalar_t r, scalar_t g, scalar_t b) {
-  scalar_t radius = 1/scaling;
+  scalar_t radius = 1 / scaling;
   int n = 36;
   scalar_t xp[n], yp[n];
   for(int k = 0; k < n; k++) {
@@ -77,8 +77,8 @@ extern "C" void fl_generate_sequence(int nb_images,
   const scalar_t world_height = height * super_definition;
   const scalar_t scaling = 1 / super_definition;
 
-  int nb_iterations_per_dt = 50;
-  scalar_t dt = 5.0 / scalar_t(nb_iterations_per_dt);
+  int nb_iterations_per_dt = 100;
+  scalar_t dt = 10.0 / scalar_t(nb_iterations_per_dt);
 
   //////////////////////////////////////////////////////////////////////
 
@@ -142,9 +142,9 @@ extern "C" void fl_generate_sequence(int nb_images,
         scalar_t shape_size;
 
         if(random_shape_size) {
-          shape_size = 80 + 80 * drand48();
+          shape_size = (10 + 10 * drand48()) * super_definition;
         } else {
-          shape_size = 120;
+          shape_size = 15 * super_definition;
         }
 
         scalar_t red, green, blue;