move ICF -> ChannelFeature

pull/322/head
marina.kolpakova 12 years ago
parent a01f596474
commit b4aa33b6d3
  1. 13
      apps/sft/fpool.cpp
  2. 44
      apps/sft/include/sft/fpool.hpp
  3. 25
      modules/softcascade/include/opencv2/softcascade/softcascade.hpp
  4. 117
      modules/softcascade/src/_random.hpp
  5. 52
      modules/softcascade/src/integral_channel_builder.cpp
  6. 70
      modules/softcascade/src/soft_cascade_octave.cpp

@ -72,11 +72,6 @@ void sft::ICFFeaturePool::write( cv::FileStorage& fs, int index) const
fs << pool[index];
}
void sft::write(cv::FileStorage& fs, const string&, const ICF& f)
{
fs << "{" << "channel" << f.channel << "rect" << f.bb << "}";
}
sft::ICFFeaturePool::~ICFFeaturePool(){}
#if defined _WIN32 && (_WIN32 || _WIN64)
@ -137,7 +132,7 @@ void sft::ICFFeaturePool::fill(int desired)
int ch = chRand(eng_ch);
sft::ICF f(x, y, w, h, ch);
cv::ChannelFeature f(x, y, w, h, ch);
if (std::find(pool.begin(), pool.end(),f) == pool.end())
{
@ -147,12 +142,6 @@ void sft::ICFFeaturePool::fill(int desired)
}
}
std::ostream& sft::operator<<(std::ostream& out, const sft::ICF& m)
{
out << m.channel << " " << m.bb;
return out;
}
// ============ Dataset ============ //
namespace {
using namespace sft;

@ -50,48 +50,6 @@
#include <opencv2/softcascade/softcascade.hpp>
namespace sft
{
struct ICF
{
ICF(int x, int y, int w, int h, int ch) : bb(cv::Rect(x, y, w, h)), channel(ch) {}
bool operator ==(ICF b)
{
return bb == b.bb && channel == b.channel;
}
bool operator !=(ICF b)
{
return bb != b.bb || channel != b.channel;
}
float operator() (const cv::Mat& integrals, const cv::Size& model) const
{
int step = model.width + 1;
const int* ptr = integrals.ptr<int>(0) + (model.height * channel + bb.y) * step + bb.x;
int a = ptr[0];
int b = ptr[bb.width];
ptr += bb.height * step;
int c = ptr[bb.width];
int d = ptr[0];
return (float)(a - b + c - d);
}
private:
cv::Rect bb;
int channel;
friend void write(cv::FileStorage& fs, const std::string&, const ICF& f);
friend std::ostream& operator<<(std::ostream& out, const ICF& f);
};
void write(cv::FileStorage& fs, const std::string&, const ICF& f);
std::ostream& operator<<(std::ostream& out, const ICF& m);
using cv::FeaturePool;
using cv::Dataset;
@ -115,7 +73,7 @@ private:
cv::Size model;
int nfeatures;
std::vector<ICF> pool;
std::vector<cv::ChannelFeature> pool;
static const unsigned int seed = 0;

@ -87,6 +87,31 @@ public:
virtual ~Dataset();
};
// ========================================================================== //
// First order channel feature.
// ========================================================================== //
class CV_EXPORTS ChannelFeature
{
public:
ChannelFeature(int x, int y, int w, int h, int ch);
~ChannelFeature();
bool operator ==(ChannelFeature b);
bool operator !=(ChannelFeature b);
float operator() (const cv::Mat& integrals, const cv::Size& model) const;
friend void write(cv::FileStorage& fs, const std::string&, const ChannelFeature& f);
friend std::ostream& operator<<(std::ostream& out, const ChannelFeature& f);
private:
cv::Rect bb;
int channel;
};
void write(cv::FileStorage& fs, const std::string&, const ChannelFeature& f);
std::ostream& operator<<(std::ostream& out, const ChannelFeature& m);
// ========================================================================== //
// Public Interface for Integral Channel Feature.

@ -0,0 +1,117 @@
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2008-2012, Willow Garage Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's 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.
//
// * The name of the copyright holders may not 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 Intel Corporation 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.
//
//M*/
#ifndef __SFT_RANDOM_HPP__
#define __SFT_RANDOM_HPP__
#if defined(_MSC_VER) && _MSC_VER >= 1600
# include <random>
namespace sft {
struct Random
{
typedef std::mt19937 engine;
typedef std::uniform_int<int> uniform;
};
}
#elif (__GNUC__) && __GNUC__ > 3 && __GNUC_MINOR__ > 1 && !defined(__ANDROID__)
# if defined (__cplusplus) && __cplusplus > 201100L
# include <random>
namespace sft {
struct Random
{
typedef std::mt19937 engine;
typedef std::uniform_int<int> uniform;
};
}
# else
# include <tr1/random>
namespace sft {
struct Random
{
typedef std::tr1::mt19937 engine;
typedef std::tr1::uniform_int<int> uniform;
};
}
# endif
#else
#include <opencv2/core/core.hpp>
namespace rnd {
typedef cv::RNG engine;
template<typename T>
struct uniform_int
{
uniform_int(const int _min, const int _max) : min(_min), max(_max) {}
T operator() (engine& eng, const int bound) const
{
return (T)eng.uniform(min, bound);
}
T operator() (engine& eng) const
{
return (T)eng.uniform(min, max);
}
private:
int min;
int max;
};
}
namespace sft {
struct Random
{
typedef rnd::engine engine;
typedef rnd::uniform_int<int> uniform;
};
}
#endif
#endif

@ -44,9 +44,9 @@
namespace {
class ICF : public cv::ChannelFeatureBuilder
class ICFBuilder : public cv::ChannelFeatureBuilder
{
virtual ~ICF() {}
virtual ~ICFBuilder() {}
virtual cv::AlgorithmInfo* info() const;
virtual void operator()(cv::InputArray _frame, CV_OUT cv::OutputArray _integrals) const
{
@ -107,12 +107,56 @@ class ICF : public cv::ChannelFeatureBuilder
}
CV_INIT_ALGORITHM(ICF, "ChannelFeatureBuilder.ICF", );
CV_INIT_ALGORITHM(ICFBuilder, "ChannelFeatureBuilder.ICFBuilder", );
cv::ChannelFeatureBuilder::~ChannelFeatureBuilder() {}
cv::Ptr<cv::ChannelFeatureBuilder> cv::ChannelFeatureBuilder::create()
{
cv::Ptr<cv::ChannelFeatureBuilder> builder(new ICF());
cv::Ptr<cv::ChannelFeatureBuilder> builder(new ICFBuilder());
return builder;
}
cv::ChannelFeature::ChannelFeature(int x, int y, int w, int h, int ch)
: bb(cv::Rect(x, y, w, h)), channel(ch) {}
bool cv::ChannelFeature::operator ==(cv::ChannelFeature b)
{
return bb == b.bb && channel == b.channel;
}
bool cv::ChannelFeature::operator !=(cv::ChannelFeature b)
{
return bb != b.bb || channel != b.channel;
}
float cv::ChannelFeature::operator() (const cv::Mat& integrals, const cv::Size& model) const
{
int step = model.width + 1;
const int* ptr = integrals.ptr<int>(0) + (model.height * channel + bb.y) * step + bb.x;
int a = ptr[0];
int b = ptr[bb.width];
ptr += bb.height * step;
int c = ptr[bb.width];
int d = ptr[0];
return (float)(a - b + c - d);
}
void cv::write(cv::FileStorage& fs, const string&, const cv::ChannelFeature& f)
{
fs << "{" << "channel" << f.channel << "rect" << f.bb << "}";
}
std::ostream& cv::operator<<(std::ostream& out, const cv::ChannelFeature& m)
{
out << m.channel << " " << m.bb;
return out;
}
cv::ChannelFeature::~ChannelFeature(){}

@ -43,6 +43,7 @@
#include "precomp.hpp"
#include <queue>
#include <string>
#include "_random.hpp"
#define WITH_DEBUG_OUT
@ -53,75 +54,6 @@
# define dprintf(format, ...)
#endif
#if defined(_MSC_VER) && _MSC_VER >= 1600
# include <random>
namespace sft {
struct Random
{
typedef std::mt19937 engine;
typedef std::uniform_int<int> uniform;
};
}
#elif (__GNUC__) && __GNUC__ > 3 && __GNUC_MINOR__ > 1 && !defined(__ANDROID__)
# if defined (__cplusplus) && __cplusplus > 201100L
# include <random>
namespace sft {
struct Random
{
typedef std::mt19937 engine;
typedef std::uniform_int<int> uniform;
};
}
# else
# include <tr1/random>
namespace sft {
struct Random
{
typedef std::tr1::mt19937 engine;
typedef std::tr1::uniform_int<int> uniform;
};
}
# endif
#else
#include <opencv2/core/core.hpp>
namespace rnd {
typedef cv::RNG engine;
template<typename T>
struct uniform_int
{
uniform_int(const int _min, const int _max) : min(_min), max(_max) {}
T operator() (engine& eng, const int bound) const
{
return (T)eng.uniform(min, bound);
}
T operator() (engine& eng) const
{
return (T)eng.uniform(min, max);
}
private:
int min;
int max;
};
}
namespace sft {
struct Random
{
typedef rnd::engine engine;
typedef rnd::uniform_int<int> uniform;
};
}
#endif
using cv::Dataset;
using cv::FeaturePool;

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