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