if (std::find(pool.begin(), pool.end(),f) == pool.end())
{
pool.push_back(f);
+ std::cout << f << std::endl;
}
}
}
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/highgui/highgui.hpp>
+#include <opencv2/objdetect/objdetect.hpp>
namespace sft
{
-
-class Preprocessor
-{
-public:
- Preprocessor() {}
-
- void apply(cv::InputArray _frame, cv::OutputArray _integrals) const //const cv::Mat& frame, cv::Mat& integrals
- {
- 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);
- }
-
- enum {BINS = 10};
-};
-
struct ICF
{
ICF(int x, int y, int w, int h, int ch) : bb(cv::Rect(x, y, w, h)), channel(ch) {}
static const unsigned int seed = 0;
- Preprocessor preprocessor;
+ cv::ICFPreprocessor preprocessor;
enum { N_CHANNELS = 10 };
};
Ptr<MaskGenerator> maskGenerator;
};
+
+class CV_EXPORTS_W ICFPreprocessor
+{
+public:
+ CV_WRAP ICFPreprocessor();
+ CV_WRAP void apply(cv::InputArray _frame, cv::OutputArray _integrals) const;
+protected:
+ enum {BINS = 10};
+};
+
// Implementation of soft (stageless) cascaded detector.
class CV_EXPORTS_W SCascade : public Algorithm
{
virtual void detect(InputArray image, InputArray rois, std::vector<Detection>& objects) const;
// Param rects is an output array of bounding rectangles for detected objects.
// Param confs is an output array of confidence for detected objects. i-th bounding rectangle corresponds i-th configence.
- CV_WRAP virtual void detect(InputArray image, InputArray rois, CV_OUT OutputArray rects, CV_OUT OutputArray confs) const;
+ CV_WRAP virtual void detect(InputArray image, InputArray rois, OutputArray rects, OutputArray confs) const;
private:
void detectNoRoi(const Mat& image, std::vector<Detection>& objects) const;
#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::SCascade::Channels::Channels(int shr) : shrinkage(shr) {}
void cv::SCascade::Channels::appendHogBins(const cv::Mat& gray, std::vector<cv::Mat>& integrals, int bins) const