213 lines
6.2 KiB
C++
213 lines
6.2 KiB
C++
/*
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* Software License Agreement (BSD License)
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*
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* Point Cloud Library (PCL) - www.pointclouds.org
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* Copyright (c) 2010-2011, Willow Garage, Inc.
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*
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* All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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*
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* * Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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* * Redistributions in binary form must reproduce the above
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* copyright notice, this list of conditions and the following
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* disclaimer in the documentation and/or other materials provided
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* with the distribution.
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* * Neither the name of Willow Garage, Inc. nor the names of its
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* contributors may be used to endorse or promote products derived
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* from this software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
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* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
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* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
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* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
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* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
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* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
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* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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* POSSIBILITY OF SUCH DAMAGE.
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*
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*/
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#pragma once
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#include <pcl/common/common.h>
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#include <istream>
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#include <ostream>
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namespace pcl {
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/** Class representing a Fern. */
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template <class FeatureType, class NodeType>
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class PCL_EXPORTS Fern {
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public:
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/** Constructor. */
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Fern() : num_of_decisions_(0), features_(0), thresholds_(0), nodes_(1) {}
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/** Destructor. */
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virtual ~Fern() {}
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/** Initializes the fern.
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*
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* \param num_of_decisions the number of decisions taken to access the nodes
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*/
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void
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initialize(const std::size_t num_of_decisions)
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{
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num_of_decisions_ = num_of_decisions;
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features_.resize(num_of_decisions_);
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thresholds_.resize(num_of_decisions_, std::numeric_limits<float>::quiet_NaN());
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nodes_.resize(0x1 << num_of_decisions_);
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}
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/** Returns the number of nodes the Fern has. */
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inline std::size_t
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getNumOfNodes()
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{
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return 0x1U << num_of_decisions_;
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}
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/** Returns the number of features the Fern has. */
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inline std::size_t
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getNumOfFeatures()
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{
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return num_of_decisions_;
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}
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/** Serializes the fern.
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*
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* \param[out] stream the destination for the serialization
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*/
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void
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serialize(::std::ostream& stream) const
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{
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// const int tmp_value = static_cast<int> (num_of_decisions_);
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// stream.write (reinterpret_cast<char*> (&tmp_value), sizeof (tmp_value));
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stream.write(reinterpret_cast<const char*>(&num_of_decisions_),
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sizeof(num_of_decisions_));
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for (std::size_t feature_index = 0; feature_index < features_.size();
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++feature_index) {
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features_[feature_index].serialize(stream);
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}
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for (std::size_t threshold_index = 0; threshold_index < thresholds_.size();
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++threshold_index) {
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stream.write(reinterpret_cast<const char*>(&(thresholds_[threshold_index])),
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sizeof(thresholds_[threshold_index]));
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}
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for (std::size_t node_index = 0; node_index < nodes_.size(); ++node_index) {
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nodes_[node_index].serialize(stream);
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}
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}
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/** Deserializes the fern.
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*
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* \param[in] stream the source for the deserialization
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*/
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void
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deserialize(::std::istream& stream)
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{
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stream.read(reinterpret_cast<char*>(&num_of_decisions_), sizeof(num_of_decisions_));
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features_.resize(num_of_decisions_);
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thresholds_.resize(num_of_decisions_);
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nodes_.resize(0x1 << num_of_decisions_);
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for (std::size_t feature_index = 0; feature_index < features_.size();
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++feature_index) {
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features_[feature_index].deserialize(stream);
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}
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for (std::size_t threshold_index = 0; threshold_index < thresholds_.size();
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++threshold_index) {
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stream.read(reinterpret_cast<char*>(&(thresholds_[threshold_index])),
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sizeof(thresholds_[threshold_index]));
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}
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for (std::size_t node_index = 0; node_index < nodes_.size(); ++node_index) {
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nodes_[node_index].deserialize(stream);
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}
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}
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/** Access operator for nodes.
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*
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* \param node_index the index of the node to access
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*/
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inline NodeType&
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operator[](const std::size_t node_index)
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{
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return nodes_[node_index];
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}
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/** Access operator for nodes.
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*
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* \param node_index the index of the node to access
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*/
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inline const NodeType&
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operator[](const std::size_t node_index) const
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{
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return nodes_[node_index];
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}
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/** Access operator for features.
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*
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* \param feature_index the index of the feature to access
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*/
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inline FeatureType&
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accessFeature(const std::size_t feature_index)
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{
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return features_[feature_index];
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}
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/** Access operator for features.
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*
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* \param feature_index the index of the feature to access
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*/
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inline const FeatureType&
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accessFeature(const std::size_t feature_index) const
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{
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return features_[feature_index];
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}
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/** Access operator for thresholds.
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*
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* \param threshold_index the index of the threshold to access
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*/
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inline float&
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accessThreshold(const std::size_t threshold_index)
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{
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return thresholds_[threshold_index];
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}
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/** Access operator for thresholds.
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*
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* \param threshold_index the index of the threshold to access
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*/
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inline const float&
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accessThreshold(const std::size_t threshold_index) const
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{
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return thresholds_[threshold_index];
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}
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private:
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/** The number of decisions. */
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std::size_t num_of_decisions_;
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/** The list of Features used to make the decisions. */
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std::vector<FeatureType> features_;
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/** The list of thresholds used to make the decisions. */
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std::vector<float> thresholds_;
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/** The list of Nodes accessed by the Fern. */
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std::vector<NodeType> nodes_;
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};
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} // namespace pcl
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