提交 3d41846c 编写于 作者: M marina.kolpakova

move frame processing into separate class

上级 56517437
......@@ -543,6 +543,28 @@ private:
Filds* filds;
};
class CV_EXPORTS IntegralChannels
{
public:
//! constrictor form resizing factor.
//! Param shr is a resizing factor. Resize is applied before integral sum computing
IntegralChannels(const int shr) : shrinkage(shr) {}
//! Appends specified number of hog first order feature integrals into given vector.
//! Param gray is an input 1-chennel gray image.
//! Param integrals is a vector of integrals. Computed from frame frame hog-channels will be appended to it.
//! Param bins is a number of hog-bins
void createHogBins(const cv::Mat gray, std::vector<cv::Mat>& integrals, int bins) const;
//! Converts 3-chennel BGR input frame to Luv and append each channel to the integrals.
//! Param frame is an input 3-chennel BGR colored image.
//! Param integrals is a vector of integrals. Computed from frame frame luv-channels will be appended to it.
void createLuvBins(const cv::Mat frame, std::vector<cv::Mat>& integrals) const;
private:
int shrinkage;
};
//////////////// HOG (Histogram-of-Oriented-Gradients) Descriptor and Object Detector //////////////
// struct for detection region of interest (ROI)
......
/*M///////////////////////////////////////////////////////////////////////////////////////
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#include <precomp.hpp>
#include <opencv2/objdetect/objdetect.hpp>
#include <opencv2/core/core.hpp>
template<typename T>
struct Decimate {
int shrinkage;
Decimate(const int sr) : shrinkage(sr) {}
void operator()(const cv::Mat& in, cv::Mat& out) const
{
int cols = in.cols / shrinkage;
int rows = in.rows / shrinkage;
out.create(rows, cols, in.type());
CV_Assert(cols * shrinkage == in.cols);
CV_Assert(rows * shrinkage == in.rows);
for (int outIdx_y = 0; outIdx_y < rows; ++outIdx_y)
{
T* outPtr = out.ptr<T>(outIdx_y);
for (int outIdx_x = 0; outIdx_x < cols; ++outIdx_x)
{
// do desimate
int inIdx_y = outIdx_y * shrinkage;
int inIdx_x = outIdx_x * shrinkage;
int sum = 0;
for (int y = inIdx_y; y < inIdx_y + shrinkage; ++y)
for (int x = inIdx_x; x < inIdx_x + shrinkage; ++x)
sum += in.at<T>(y, x);
sum /= shrinkage * shrinkage;
outPtr[outIdx_x] = cv::saturate_cast<T>(sum);
}
}
}
};
void cv::IntegralChannels::createHogBins(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));
Decimate<uchar> decimate(shrinkage);
cv::Mat df_dx, df_dy, mag, angle;
cv::Sobel(gray, df_dx, CV_32F, 1, 0, 3, 0.125);
cv::Sobel(gray, df_dy, CV_32F, 0, 1, 3, 0.125);
cv::cartToPolar(df_dx, df_dy, mag, angle, true);
mag *= (1.f / sqrt(2));
cv::Mat nmag;
mag.convertTo(nmag, CV_8UC1);
angle /= 60.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;
decimate(hist[i], shrunk);
cv::integral(shrunk, sum, cv::noArray(), CV_32S);
integrals.push_back(sum);
}
cv::Mat shrMag;
decimate(nmag, shrMag);
cv::integral(shrMag, mag, cv::noArray(), CV_32S);
integrals.push_back(mag);
}
void cv::IntegralChannels::createLuvBins(const cv::Mat frame, std::vector<cv::Mat>& integrals) const
{
CV_Assert(frame.type() == CV_8UC3);
CV_Assert(!(frame.cols % shrinkage) && !(frame.rows % shrinkage));
Decimate<uchar> decimate(shrinkage);
cv::Mat luv;
cv::cvtColor(frame, luv, CV_BGR2Luv);
std::vector<cv::Mat> splited;
split(luv, splited);
for (size_t i = 0; i < splited.size(); ++i)
{
cv::Mat shrunk, sum;
decimate(splited[i], shrunk);
cv::integral(shrunk, sum, cv::noArray(), CV_32S);
integrals.push_back(sum);
}
}
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