Chiebot-Mirror
/
opencv
mirror of https://github.com/opencv/opencv.git
8
0
Fork 0
Code Issues Projects Releases Wiki Activity

merged ICFPreprocessor and Channels -> ChannelFeatureBuilder

Browse Source
pull/322/head
marina.kolpakova 12 years ago
parent 49ec664238
commit f3227c3f1a
10 changed files with 151 additions and 241 deletions
Whitespace
Show all changes Ignore whitespace when comparing lines Ignore changes in amount of whitespace Ignore changes in whitespace at EOL
Split View
Diff Options
Show Stats Download Patch File Download Diff File
  1. 3
      apps/sft/fpool.cpp
  2. 2
      apps/sft/include/sft/fpool.hpp
  3. 2
      modules/python/CMakeLists.txt
  4. 3
      modules/python/src2/cv2.cpp
  5. 48
      modules/softcascade/include/opencv2/softcascade/softcascade.hpp
  6. 170
      modules/softcascade/src/icf.cpp
  7. 73
      modules/softcascade/src/integral_channel_builder.cpp
  8. 27
      modules/softcascade/src/softcascade.cpp
  9. 4
      modules/softcascade/src/softcascade_init.cpp
  10. 60
      modules/softcascade/test/test_channel_features.cpp

3
apps/sft/fpool.cpp
Unescape View File

@ -51,11 +51,12 @@ sft::ICFFeaturePool::ICFFeaturePool(cv::Size m, int n) : FeaturePool(), model(m)
{
CV_Assert(m != cv::Size() && n > 0);
fill(nfeatures);
builder = cv::ChannelFeatureBuilder::create();
}
void sft::ICFFeaturePool::preprocess(cv::InputArray frame, cv::OutputArray integrals) const
{
preprocessor.apply(frame, integrals);
(*builder)(frame, integrals);
}
float sft::ICFFeaturePool::apply(int fi, int si, const Mat& integrals) const

2
apps/sft/include/sft/fpool.hpp
Unescape View File

@ -119,7 +119,7 @@ private:
static const unsigned int seed = 0;
cv::ICFPreprocessor preprocessor;
cv::Ptr<cv::ChannelFeatureBuilder> builder;
enum { N_CHANNELS = 10 };
};

2
modules/python/CMakeLists.txt
Unescape View File

@ -10,7 +10,7 @@ if(ANDROID OR IOS OR NOT PYTHONLIBS_FOUND OR NOT PYTHON_USE_NUMPY)
endif()
set(the_description "The python bindings")
ocv_add_module(python BINDINGS opencv_core opencv_flann opencv_imgproc opencv_video opencv_ml opencv_features2d opencv_highgui opencv_calib3d opencv_photo opencv_objdetect opencv_contrib opencv_legacy OPTIONAL opencv_nonfree)
ocv_add_module(python BINDINGS opencv_core opencv_flann opencv_imgproc opencv_video opencv_ml opencv_features2d opencv_highgui opencv_calib3d opencv_photo opencv_objdetect opencv_contrib opencv_legacy opencv_softcascade OPTIONAL opencv_nonfree)
add_definitions(-DPYTHON_USE_NUMPY=1)

3
modules/python/src2/cv2.cpp
Unescape View File

@ -16,6 +16,7 @@
#include "opencv2/ml/ml.hpp"
#include "opencv2/features2d/features2d.hpp"
#include "opencv2/objdetect/objdetect.hpp"
#include "opencv2/softcascade/softcascade.hpp"
#include "opencv2/video/tracking.hpp"
#include "opencv2/video/background_segm.hpp"
#include "opencv2/photo/photo.hpp"
@ -124,6 +125,8 @@ typedef Ptr<DescriptorExtractor> Ptr_DescriptorExtractor;
typedef Ptr<Feature2D> Ptr_Feature2D;
typedef Ptr<DescriptorMatcher> Ptr_DescriptorMatcher;
typedef Ptr<ChannelFeatureBuilder> Ptr_ChannelFeatureBuilder;
typedef SimpleBlobDetector::Params SimpleBlobDetector_Params;
typedef cvflann::flann_distance_t cvflann_flann_distance_t;

48
modules/softcascade/include/opencv2/softcascade/softcascade.hpp
Unescape View File

@ -93,53 +93,15 @@ public:
// Implementation of Integral Channel Feature.
// ========================================================================== //
class CV_EXPORTS_W IntegralChannelBuilder : public Algorithm
class CV_EXPORTS_W ChannelFeatureBuilder : public Algorithm
{
public:
CV_WRAP IntegralChannelBuilder();
CV_WRAP virtual ~IntegralChannelBuilder();
virtual ~ChannelFeatureBuilder();
cv::AlgorithmInfo* info() const;
// Load channel builder config.
CV_WRAP virtual void read(const FileNode& fileNode);
private:
struct Fields;
cv::Ptr<Fields> fields;
};
// Create channel integrals for Soft Cascade detector.
class CV_EXPORTS Channels
{
public:
// constrictor form resizing factor.
// Param shrinkage is a resizing factor. Resize is applied before the computing integral sum
Channels(const int shrinkage);
// Appends specified number of HOG first-order features integrals into given vector.
// Param gray is an input 1-channel gray image.
// Param integrals is a vector of integrals. Hog-channels will be appended to it.
// Param bins is a number of hog-bins
void appendHogBins(const cv::Mat& gray, std::vector<cv::Mat>& integrals, int bins) const;
// Converts 3-channel BGR input frame in Luv and appends each channel to the integrals.
// Param frame is an input 3-channel BGR colored image.
// Param integrals is a vector of integrals. Computed from the frame luv-channels will be appended to it.
void appendLuvBins(const cv::Mat& frame, std::vector<cv::Mat>& integrals) const;
private:
int shrinkage;
};
// apply channels to source frame
CV_WRAP_AS(compute) virtual void operator()(InputArray src, CV_OUT OutputArray channels) const = 0;
class CV_EXPORTS_W ICFPreprocessor
{
public:
CV_WRAP ICFPreprocessor();
CV_WRAP void apply(cv::InputArray _frame, cv::OutputArray _integrals) const;
protected:
enum {BINS = 10};
CV_WRAP static cv::Ptr<ChannelFeatureBuilder> create();
};
// ========================================================================== //

170
modules/softcascade/src/icf.cpp
Unescape View File

@ -1,170 +0,0 @@
/*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) 2008-2013, 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*/
#include "precomp.hpp"
cv::ICFPreprocessor::ICFPreprocessor() {}
void cv::ICFPreprocessor::apply(cv::InputArray _frame, cv::OutputArray _integrals) const
{
CV_Assert(_frame.type() == CV_8UC3);
cv::Mat frame = _frame.getMat();
cv::Mat& integrals = _integrals.getMatRef();
int h = frame.rows;
int w = frame.cols;
cv::Mat channels, gray;
channels.create(h * BINS, w, CV_8UC1);
channels.setTo(0);
cvtColor(frame, gray, CV_BGR2GRAY);
cv::Mat df_dx, df_dy, mag, angle;
cv::Sobel(gray, df_dx, CV_32F, 1, 0);
cv::Sobel(gray, df_dy, CV_32F, 0, 1);
cv::cartToPolar(df_dx, df_dy, mag, angle, true);
mag *= (1.f / (8 * sqrt(2.f)));
cv::Mat nmag;
mag.convertTo(nmag, CV_8UC1);
angle *= 6 / 360.f;
for (int y = 0; y < h; ++y)
{
uchar* magnitude = nmag.ptr<uchar>(y);
float* ang = angle.ptr<float>(y);
for (int x = 0; x < w; ++x)
{
channels.ptr<uchar>(y + (h * (int)ang[x]))[x] = magnitude[x];
}
}
cv::Mat luv, shrunk;
cv::cvtColor(frame, luv, CV_BGR2Luv);
std::vector<cv::Mat> splited;
for (int i = 0; i < 3; ++i)
splited.push_back(channels(cv::Rect(0, h * (7 + i), w, h)));
split(luv, splited);
float shrinkage = static_cast<float>(integrals.cols - 1) / channels.cols;
CV_Assert(shrinkage == 0.25);
cv::resize(channels, shrunk, cv::Size(), shrinkage, shrinkage, CV_INTER_AREA);
cv::integral(shrunk, integrals, cv::noArray(), CV_32S);
}
cv::Channels::Channels(int shr) : shrinkage(shr) {}
void cv::Channels::appendHogBins(const cv::Mat& gray, std::vector<cv::Mat>& integrals, int bins) const
{
CV_Assert(gray.type() == CV_8UC1);
int h = gray.rows;
int w = gray.cols;
CV_Assert(!(w % shrinkage) && !(h % shrinkage));
cv::Mat df_dx, df_dy, mag, angle;
cv::Sobel(gray, df_dx, CV_32F, 1, 0);
cv::Sobel(gray, df_dy, CV_32F, 0, 1);
cv::cartToPolar(df_dx, df_dy, mag, angle, true);
mag *= (1.f / (8 * sqrt(2.f)));
cv::Mat nmag;
mag.convertTo(nmag, CV_8UC1);
angle *= bins/360.f;
std::vector<cv::Mat> hist;
for (int bin = 0; bin < bins; ++bin)
hist.push_back(cv::Mat::zeros(h, w, CV_8UC1));
for (int y = 0; y < h; ++y)
{
uchar* magnitude = nmag.ptr<uchar>(y);
float* ang = angle.ptr<float>(y);
for (int x = 0; x < w; ++x)
{
hist[ (int)ang[x] ].ptr<uchar>(y)[x] = magnitude[x];
}
}
for(int i = 0; i < bins; ++i)
{
cv::Mat shrunk, sum;
cv::resize(hist[i], shrunk, cv::Size(), 1.0 / shrinkage, 1.0 / shrinkage, CV_INTER_AREA);
cv::integral(shrunk, sum, cv::noArray(), CV_32S);
integrals.push_back(sum);
}
cv::Mat shrMag;
cv::resize(nmag, shrMag, cv::Size(), 1.0 / shrinkage, 1.0 / shrinkage, CV_INTER_AREA);
cv::integral(shrMag, mag, cv::noArray(), CV_32S);
integrals.push_back(mag);
}
void cv::Channels::appendLuvBins(const cv::Mat& frame, std::vector<cv::Mat>& integrals) const
{
CV_Assert(frame.type() == CV_8UC3);
CV_Assert(!(frame.cols % shrinkage) && !(frame.rows % shrinkage));
cv::Mat luv, shrunk;
cv::cvtColor(frame, luv, CV_BGR2Luv);
cv::resize(luv, shrunk, cv::Size(), 1.0 / shrinkage, 1.0 / shrinkage, CV_INTER_AREA);
std::vector<cv::Mat> splited;
split(shrunk, splited);
for (size_t i = 0; i < splited.size(); ++i)
{
cv::Mat sum;
cv::integral(splited[i], sum, cv::noArray(), CV_32S);
integrals.push_back(sum);
}
}

73
modules/softcascade/src/integral_channel_builder.cpp
Unescape View File

@ -42,14 +42,77 @@
#include "precomp.hpp"
struct cv::IntegralChannelBuilder::Fields
namespace {
class ICF : public cv::ChannelFeatureBuilder
{
virtual ~ICF() {}
virtual cv::AlgorithmInfo* info() const;
virtual void operator()(cv::InputArray _frame, CV_OUT cv::OutputArray _integrals) const
{
CV_Assert(_frame.type() == CV_8UC3);
cv::Mat frame = _frame.getMat();
int h = frame.rows;
int w = frame.cols;
_integrals.create(h / 4 * 10 + 1, w / 4 + 1, CV_32SC1);
cv::Mat& integrals = _integrals.getMatRef();
cv::Mat channels, gray;
channels.create(h * 10, w, CV_8UC1);
channels.setTo(0);
cvtColor(frame, gray, CV_BGR2GRAY);
cv::Mat df_dx, df_dy, mag, angle;
cv::Sobel(gray, df_dx, CV_32F, 1, 0);
cv::Sobel(gray, df_dy, CV_32F, 0, 1);
cv::cartToPolar(df_dx, df_dy, mag, angle, true);
mag *= (1.f / (8 * sqrt(2.f)));
cv::Mat nmag;
mag.convertTo(nmag, CV_8UC1);
angle *= 6 / 360.f;
for (int y = 0; y < h; ++y)
{
uchar* magnitude = nmag.ptr<uchar>(y);
float* ang = angle.ptr<float>(y);
for (int x = 0; x < w; ++x)
{
channels.ptr<uchar>(y + (h * (int)ang[x]))[x] = magnitude[x];
}
}
cv::Mat luv, shrunk;
cv::cvtColor(frame, luv, CV_BGR2Luv);
std::vector<cv::Mat> splited;
for (int i = 0; i < 3; ++i)
splited.push_back(channels(cv::Rect(0, h * (7 + i), w, h)));
split(luv, splited);
float shrinkage = static_cast<float>(integrals.cols - 1) / channels.cols;
CV_Assert(shrinkage == 0.25);
cv::resize(channels, shrunk, cv::Size(), shrinkage, shrinkage, CV_INTER_AREA);
cv::integral(shrunk, integrals, cv::noArray(), CV_32S);
}
};
cv::IntegralChannelBuilder::IntegralChannelBuilder() : fields(new Fields()) {}
cv::IntegralChannelBuilder::~IntegralChannelBuilder() {}
}
CV_INIT_ALGORITHM(ICF, "ChannelFeatureBuilder.ICF", );
cv::ChannelFeatureBuilder::~ChannelFeatureBuilder() {}
void cv::IntegralChannelBuilder::read(const FileNode& fn)
cv::Ptr<cv::ChannelFeatureBuilder> cv::ChannelFeatureBuilder::create()
{
Algorithm::read(fn);
cv::Ptr<cv::ChannelFeatureBuilder> builder(new ICF());
return builder;
}

27
modules/softcascade/src/softcascade.cpp
Unescape View File

@ -169,37 +169,30 @@ struct Level
return (sarea == 0.0f)? threshold : (threshold * scaling[idx] * sarea);
}
};
struct ChannelStorage
{
std::vector<cv::Mat> hog;
cv::Mat hog;
int shrinkage;
int offset;
int step;
int model_height;
cv::Ptr<cv::ChannelFeatureBuilder> builder;
enum {HOG_BINS = 6, HOG_LUV_BINS = 10};
ChannelStorage(const cv::Mat& colored, int shr) : shrinkage(shr)
{
hog.clear();
hog.reserve(10);
cv::Channels ints(shr);
// convert to gray
cv::Mat grey;
cv::cvtColor(colored, grey, CV_BGR2GRAY);
builder = cv::ChannelFeatureBuilder::create();
(*builder)(colored, hog);
ints.appendHogBins(grey, hog, 6);
ints.appendLuvBins(colored, hog);
step = hog[0].cols;
step = hog.step1();
model_height = colored.rows / shrinkage;
}
float get(const int channel, const cv::Rect& area) const
{
// CV_Assert(channel < HOG_LUV_BINS);
const cv::Mat& m = hog[channel];
int *ptr = ((int*)(m.data)) + offset;
const int *ptr = hog.ptr<const int>(0) + model_height * channel * step + offset;
int a = ptr[area.y * step + area.x];
int b = ptr[area.y * step + area.width];
@ -509,7 +502,7 @@ void cv::SoftCascadeDetector::detectNoRoi(const cv::Mat& image, std::vector<Dete
}
}
if (rejCriteria != NO_REJECT) suppress(rejCriteria, objects);
// if (rejCriteria != NO_REJECT) suppress(rejCriteria, objects);
}
void cv::SoftCascadeDetector::detect(cv::InputArray _image, cv::InputArray _rois, std::vector<Detection>& objects) const

4
modules/softcascade/src/softcascade_init.cpp
Unescape View File

@ -51,13 +51,11 @@ CV_INIT_ALGORITHM(SoftCascadeDetector, "SoftCascade.SoftCascadeDetector",
obj.info()->addParam(obj, "scales", obj.scales);
obj.info()->addParam(obj, "rejCriteria", obj.rejCriteria));
CV_INIT_ALGORITHM(IntegralChannelBuilder, "SoftCascade.IntegralChannelBuilder", );
bool initModule_softcascade(void)
{
Ptr<Algorithm> sc1 = createSoftCascadeDetector();
Ptr<Algorithm> sc2 = createIntegralChannelBuilder();
return (sc1->info() != 0) && (sc2->info() != 0);
return (sc1->info() != 0);
}
}

60
modules/softcascade/test/test_channel_features.cpp
Unescape View File

@ -0,0 +1,60 @@
/*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) 2008-2013, 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*/
#include "test_precomp.hpp"
TEST(ChannelFeatureBuilderTest, info)
{
cv::Ptr<cv::ChannelFeatureBuilder> builder = cv::ChannelFeatureBuilder::create();
ASSERT_TRUE(builder->info() != 0);
}
TEST(ChannelFeatureBuilderTest, compute)
{
cv::Ptr<cv::ChannelFeatureBuilder> builder = cv::ChannelFeatureBuilder::create();
cv::Mat colored = cv::imread(cvtest::TS::ptr()->get_data_path() + "cascadeandhog/images/image_00000000_0.png");
cv::Mat ints;
(*builder)(colored, ints);
ASSERT_FALSE(ints.empty());
}
Write Preview
Loading…
Cancel
Save