generic-library/opencv
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fix hog channels

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This commit is contained in:
marina.kolpakova 2012-09-19 18:47:56 +04:00
parent efd2615844
commit 296aa8854c
1 changed files with 59 additions and 57 deletions
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116
modules/objdetect/src/softcascade.cpp
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@ -387,14 +387,11 @@ struct Decimate {
};
//#define USE_REFERENCE_VALUES
#define USE_REFERENCE_VALUES
struct ChannelStorage
{
std::vector<cv::Mat> hog;
cv::Mat magnitude;
cv::Mat luv;
int shrinkage;
enum {HOG_BINS = 6, HOG_LUV_BINS = 10};
@ -407,8 +404,8 @@ struct ChannelStorage
#if defined USE_REFERENCE_VALUES
cv::FileStorage imgs("/home/kellan/testInts.xml", cv::FileStorage::READ);
char buff[33];
#else
// add gauss
cv::Mat gauss;
cv::GaussianBlur(colored, gauss, cv::Size(3,3), 0 ,0);
@ -430,79 +427,84 @@ struct ChannelStorage
luvs.push_back(sum);
}
// calculate magnitude
static const float magnitudeScaling = 1.f / sqrt(2);
// convert to grey
cv::Mat grey;
cv::cvtColor(colored, grey, CV_RGB2GRAY);
// channels
cv::FileStorage imgs("/home/kellan/testImgs.xml", cv::FileStorage::READ);
#endif
// get derivative
cv::Mat df_dx, df_dy, mag, angle;
cv::Sobel(grey, df_dx, CV_32F, 1, 0);
cv::Sobel(grey, df_dy, CV_32F, 0, 1);
char buff[33];
for(int i = 0; i < 7; ++i)
// normalize
df_dx /= 4;
df_dy /= 4;
// calculate magnitude
cv::cartToPolar(df_dx, df_dy, mag, angle, true);
// normalize to avoid uchar overflow
static const float magnitudeScaling = 1.f / sqrt(2);
mag *= magnitudeScaling;
// convert to uchar
cv::Mat saturatedMag(grey.rows, grey.cols, CV_8UC1), shrMag;
for (int y = 0; y < grey.rows; ++y)
{
float* rm = mag.ptr<float>(y);
uchar* mg = saturatedMag.ptr<uchar>(y);
for (int x = 0; x < grey.cols; ++x)
{
mg[x] = cv::saturate_cast<uchar>(rm[x]);
}
}
// srink and integrate
decimate(saturatedMag, shrMag);
cv::integral(shrMag, mag, cv::noArray(), CV_32S);
// create hog channels
angle /= 60;
std::vector<cv::Mat> hist;
for (int bin = 0; bin < 6; ++bin)
{
hist.push_back(cv::Mat(colored.rows, colored.cols, CV_8UC1));
}
for (int y = 0; y < saturatedMag.rows; ++y)
{
uchar* magnitude = saturatedMag.ptr<uchar>(y);
float* ang = angle.ptr<float>(y);
for (int x = 0; x < saturatedMag.cols; ++x)
{
hist[ (int)ang[x] ].ptr<uchar>(y)[x] = magnitude[x];
}
}
#endif
for(int i = 0; i < 6; ++i)
{
cv::Mat channel, shrunk, sum;
imgs[std::string("channel") + itoa(i, buff, 10)] >> channel;
#if defined USE_REFERENCE_VALUES
imgs[std::string("channel") + itoa(i, buff, 10)] >> channel;
hog.push_back(channel);
#else
decimate(channel, shrunk);
// cv::resize(channel, shrunk, cv::Size(), 1.f / shr, 1.f / shr, cv::INTER_AREA);
decimate(hist[i], shrunk);
cv::integral(shrunk, sum, cv::noArray(), CV_32S);
hog.push_back(sum);
#endif
}
#if !defined USE_REFERENCE_VALUES
hog.push_back(mag);
hog.insert(hog.end(), luvs.begin(), luvs.end());
CV_Assert(hog.size() == 10);
#endif
// exit(10);
}
// {
// // add gauss
// cv::Mat gauss;
// cv::GaussianBlur(colored, gauss, cv::Size(3,3), 0 ,0);
// colored = gauss;
// // cv::imshow("colored", colored);
// cv::Mat _luv, shrLuv;
// cv::cvtColor(colored, _luv, CV_BGR2Luv);
// // cv::imshow("_luv", _luv);
// cv::resize(_luv, shrLuv, cv::Size(), 1.f / shr, 1.f / shr, cv::INTER_AREA);
// // cv::imshow("shrLuv", shrLuv);
// cv::integral(shrLuv, luv);
// // cv::imshow("luv", luv);
// std::vector<cv::Mat> splited;
// split(luv, splited);
// char buffer[33];
// for (int i = 0; i < (int)splited.size(); i++)
// {
// // cv::imshow(itoa(i,buffer,10), splited[i]);
// }
// cv::Mat grey;
// cv::cvtColor(colored, grey, CV_RGB2GRAY);
// // cv::imshow("grey", grey);
// calcHistBins(grey, magnitude, hog, HOG_BINS, shrinkage);
// hog.insert(hog.end(), splited.begin(), splited.end());
// }
float get(const int x, const int y, const int channel, const cv::Rect& area) const
{