1 /*
2 * Software License Agreement (BSD License)
3 *
4 * Point Cloud Library (PCL) - www.pointclouds.org
5 * Copyright (c) 2010-2011, Willow Garage, Inc.
6 *
7 * All rights reserved.
8 *
9 * Redistribution and use in source and binary forms, with or without
10 * modification, are permitted provided that the following conditions
11 * are met:
12 *
13 * * Redistributions of source code must retain the above copyright
14 * notice, this list of conditions and the following disclaimer.
15 * * Redistributions in binary form must reproduce the above
16 * copyright notice, this list of conditions and the following
17 * disclaimer in the documentation and/or other materials provided
18 * with the distribution.
19 * * Neither the name of Willow Garage, Inc. nor the names of its
20 * contributors may be used to endorse or promote products derived
21 * from this software without specific prior written permission.
22 *
23 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
24 * "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
25 * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
26 * FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
27 * COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
28 * INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
29 * BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
30 * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
31 * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
32 * LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
33 * ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
34 * POSSIBILITY OF SUCH DAMAGE.
35 *
36 */
37
38 #pragma once
39
40 namespace pcl {
41
42 template <class FeatureType,
43 class DataSet,
44 class LabelType,
45 class ExampleIndex,
46 class NodeType>
47 DecisionForestTrainer<FeatureType, DataSet, LabelType, ExampleIndex, NodeType>::
DecisionForestTrainer()48 DecisionForestTrainer()
49 : num_of_trees_to_train_(1), decision_tree_trainer_()
50 {}
51
52 template <class FeatureType,
53 class DataSet,
54 class LabelType,
55 class ExampleIndex,
56 class NodeType>
57 DecisionForestTrainer<FeatureType, DataSet, LabelType, ExampleIndex, NodeType>::
~DecisionForestTrainer()58 ~DecisionForestTrainer()
59 {}
60
61 template <class FeatureType,
62 class DataSet,
63 class LabelType,
64 class ExampleIndex,
65 class NodeType>
66 void
train(pcl::DecisionForest<NodeType> & forest)67 DecisionForestTrainer<FeatureType, DataSet, LabelType, ExampleIndex, NodeType>::train(
68 pcl::DecisionForest<NodeType>& forest)
69 {
70 for (std::size_t tree_index = 0; tree_index < num_of_trees_to_train_; ++tree_index) {
71 pcl::DecisionTree<NodeType> tree;
72 decision_tree_trainer_.train(tree);
73
74 forest.push_back(tree);
75 }
76 }
77
78 } // namespace pcl
79