add apply cascade method

This commit is contained in:
marina.kolpakova 2012-09-05 18:29:13 +04:00
parent 695827050f
commit c04725b681
4 changed files with 42 additions and 19 deletions

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@ -15,10 +15,10 @@ file(GLOB lib_cuda_hdrs "src/cuda/*.hpp" "src/cuda/*.h")
file(GLOB lib_srcs "src/*.cpp")
file(GLOB lib_cuda "src/cuda/*.cu*")
source_group("Include" FILES ${lib_hdrs})
source_group("Src\\Host" FILES ${lib_srcs} ${lib_int_hdrs})
source_group("Src\\Cuda" FILES ${lib_cuda} ${lib_cuda_hdrs})
source_group("Device" FILES ${lib_device_hdrs})
source_group("Include" FILES ${lib_hdrs})
source_group("Src\\Host" FILES ${lib_srcs} ${lib_int_hdrs})
source_group("Src\\Cuda" FILES ${lib_cuda} ${lib_cuda_hdrs})
source_group("Device" FILES ${lib_device_hdrs})
source_group("Device\\Detail" FILES ${lib_device_hdrs_detail})
if (HAVE_CUDA)

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@ -507,7 +507,6 @@ public:
int step = 4, int rejectfactor = 1);
protected:
virtual void detectInRoi();
virtual void detectForOctave(int octave);
// virtual bool detectSingleScale( const Mat& image, int stripCount, Size processingRectSize,
// int stripSize, int yStep, double factor, vector<Rect>& candidates,

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@ -164,6 +164,15 @@ namespace {
float relScale() {return (factor / octave); }
};
struct Integral
{
cv::Mat magnitude;
std::vector<cv::Mat> hist;
cv::Mat luv;
Integral(cv::Mat m, std::vector<cv::Mat> h, cv::Mat l) : magnitude(m), hist(h), luv(l) {}
};
}
struct cv::SoftCascade::Filds
@ -181,6 +190,26 @@ struct cv::SoftCascade::Filds
std::vector<Feature> features;
std::vector<Level> levels;
typedef std::vector<Stage>::iterator stIter_t;
// carrently roi must be save for out of ranges.
void detectInRoi(const cv::Rect& roi, const Integral& ints, std::vector<cv::Rect>& objects, const int step)
{
for (int dy = roi.y; dy < roi.height; dy+=step)
for (int dx = roi.x; dx < roi.width; dx += step)
{
applyCascade(ints, dx, dy);
}
}
void applyCascade(const Integral& ints, const int x, const int y)
{
for (stIter_t sIt = sIt.begin(); sIt != stages.end(); ++sIt)
{
Stage stage& = *sIt;
}
}
// compute levels of full pyramid
void calcLevels(int frameW, int frameH, int scales)
{
@ -327,7 +356,7 @@ bool cv::SoftCascade::load( const string& filename, const float minScale, const
namespace {
void calcHistBins(const cv::Mat& grey, std::vector<cv::Mat>& histInts, const int bins)
void calcHistBins(const cv::Mat& grey, cv::Mat magIntegral, std::vector<cv::Mat>& histInts, const int bins)
{
CV_Assert( grey.type() == CV_8U);
const int rows = grey.rows + 1;
@ -368,18 +397,10 @@ namespace {
histInts.push_back(sum);
}
cv::Mat magIntegral;
cv::integral(mag, magIntegral, mag.depth());
}
struct Integrals
{
/* data */
};
}
void cv::SoftCascade::detectInRoi()
{}
void cv::SoftCascade::detectMultiScale(const Mat& image, const std::vector<cv::Rect>& rois, std::vector<cv::Rect>& objects,
@ -405,13 +426,16 @@ void cv::SoftCascade::detectMultiScale(const Mat& image, const std::vector<cv::R
cv::cvtColor(image, grey, CV_RGB2GRAY);
std::vector<cv::Mat> hist;
cv::Mat magnitude;
const int bins = 6;
calcHistBins(grey, hist, bins);
calcHistBins(grey, magnitude, hist, bins);
Integral integrals(magnitude, hist, luv);
for (RIter_t it = rois.begin(); it != rois.end(); ++it)
{
const cv::Rect& roi = *it;
// detectInRoi(roi, objects, step);
(*filds).detectInRoi(roi, integrals, objects, step);
}
}

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@ -62,8 +62,8 @@ TEST(SoftCascade, Detect)
std::vector<cv::Rect> objectBoxes;
std::vector<cv::Rect> rois;
rois.push_back(cv::Rect(0, 0, 640, 480));
ASSERT_NO_THROW(
{
// ASSERT_NO_THROW(
// {
cascade.detectMultiScale(colored, rois, objectBoxes);
});
// });
}