move preprocessor to objdetect
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@ -120,6 +120,7 @@ void sft::ICFFeaturePool::fill(int desired)
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if (std::find(pool.begin(), pool.end(),f) == pool.end())
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{
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pool.push_back(f);
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std::cout << f << std::endl;
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}
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}
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}
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@ -48,73 +48,9 @@
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#include <opencv2/imgproc/imgproc.hpp>
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#include <opencv2/highgui/highgui.hpp>
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#include <opencv2/objdetect/objdetect.hpp>
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namespace sft
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{
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class Preprocessor
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{
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public:
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Preprocessor() {}
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void apply(cv::InputArray _frame, cv::OutputArray _integrals) const //const cv::Mat& frame, cv::Mat& integrals
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{
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CV_Assert(_frame.type() == CV_8UC3);
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cv::Mat frame = _frame.getMat();
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cv::Mat& integrals = _integrals.getMatRef();
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int h = frame.rows;
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int w = frame.cols;
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cv::Mat channels, gray;
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channels.create(h * BINS, w, CV_8UC1);
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channels.setTo(0);
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cvtColor(frame, gray, CV_BGR2GRAY);
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cv::Mat df_dx, df_dy, mag, angle;
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cv::Sobel(gray, df_dx, CV_32F, 1, 0);
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cv::Sobel(gray, df_dy, CV_32F, 0, 1);
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cv::cartToPolar(df_dx, df_dy, mag, angle, true);
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mag *= (1.f / (8 * sqrt(2.f)));
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cv::Mat nmag;
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mag.convertTo(nmag, CV_8UC1);
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angle *= 6 / 360.f;
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for (int y = 0; y < h; ++y)
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{
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uchar* magnitude = nmag.ptr<uchar>(y);
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float* ang = angle.ptr<float>(y);
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for (int x = 0; x < w; ++x)
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{
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channels.ptr<uchar>(y + (h * (int)ang[x]))[x] = magnitude[x];
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}
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}
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cv::Mat luv, shrunk;
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cv::cvtColor(frame, luv, CV_BGR2Luv);
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std::vector<cv::Mat> splited;
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for (int i = 0; i < 3; ++i)
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splited.push_back(channels(cv::Rect(0, h * (7 + i), w, h)));
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split(luv, splited);
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float shrinkage = static_cast<float>(integrals.cols - 1) / channels.cols;
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CV_Assert(shrinkage == 0.25);
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cv::resize(channels, shrunk, cv::Size(), shrinkage, shrinkage, CV_INTER_AREA);
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cv::integral(shrunk, integrals, cv::noArray(), CV_32S);
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}
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enum {BINS = 10};
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};
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struct ICF
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{
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ICF(int x, int y, int w, int h, int ch) : bb(cv::Rect(x, y, w, h)), channel(ch) {}
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@ -184,7 +120,7 @@ private:
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static const unsigned int seed = 0;
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Preprocessor preprocessor;
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cv::ICFPreprocessor preprocessor;
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enum { N_CHANNELS = 10 };
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};
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@ -488,6 +488,16 @@ protected:
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Ptr<MaskGenerator> maskGenerator;
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};
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class CV_EXPORTS_W ICFPreprocessor
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{
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public:
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CV_WRAP ICFPreprocessor();
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CV_WRAP void apply(cv::InputArray _frame, cv::OutputArray _integrals) const;
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protected:
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enum {BINS = 10};
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};
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// Implementation of soft (stageless) cascaded detector.
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class CV_EXPORTS_W SCascade : public Algorithm
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{
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@ -560,7 +570,7 @@ public:
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virtual void detect(InputArray image, InputArray rois, std::vector<Detection>& objects) const;
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// Param rects is an output array of bounding rectangles for detected objects.
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// Param confs is an output array of confidence for detected objects. i-th bounding rectangle corresponds i-th configence.
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CV_WRAP virtual void detect(InputArray image, InputArray rois, CV_OUT OutputArray rects, CV_OUT OutputArray confs) const;
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CV_WRAP virtual void detect(InputArray image, InputArray rois, OutputArray rects, OutputArray confs) const;
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private:
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void detectNoRoi(const Mat& image, std::vector<Detection>& objects) const;
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@ -42,6 +42,63 @@
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#include "precomp.hpp"
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cv::ICFPreprocessor::ICFPreprocessor() {}
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void cv::ICFPreprocessor::apply(cv::InputArray _frame, cv::OutputArray _integrals) const
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{
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CV_Assert(_frame.type() == CV_8UC3);
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cv::Mat frame = _frame.getMat();
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cv::Mat& integrals = _integrals.getMatRef();
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int h = frame.rows;
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int w = frame.cols;
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cv::Mat channels, gray;
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channels.create(h * BINS, w, CV_8UC1);
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channels.setTo(0);
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cvtColor(frame, gray, CV_BGR2GRAY);
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cv::Mat df_dx, df_dy, mag, angle;
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cv::Sobel(gray, df_dx, CV_32F, 1, 0);
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cv::Sobel(gray, df_dy, CV_32F, 0, 1);
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cv::cartToPolar(df_dx, df_dy, mag, angle, true);
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mag *= (1.f / (8 * sqrt(2.f)));
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cv::Mat nmag;
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mag.convertTo(nmag, CV_8UC1);
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angle *= 6 / 360.f;
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for (int y = 0; y < h; ++y)
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{
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uchar* magnitude = nmag.ptr<uchar>(y);
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float* ang = angle.ptr<float>(y);
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for (int x = 0; x < w; ++x)
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{
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channels.ptr<uchar>(y + (h * (int)ang[x]))[x] = magnitude[x];
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}
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}
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cv::Mat luv, shrunk;
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cv::cvtColor(frame, luv, CV_BGR2Luv);
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std::vector<cv::Mat> splited;
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for (int i = 0; i < 3; ++i)
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splited.push_back(channels(cv::Rect(0, h * (7 + i), w, h)));
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split(luv, splited);
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float shrinkage = static_cast<float>(integrals.cols - 1) / channels.cols;
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CV_Assert(shrinkage == 0.25);
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cv::resize(channels, shrunk, cv::Size(), shrinkage, shrinkage, CV_INTER_AREA);
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cv::integral(shrunk, integrals, cv::noArray(), CV_32S);
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}
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cv::SCascade::Channels::Channels(int shr) : shrinkage(shr) {}
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void cv::SCascade::Channels::appendHogBins(const cv::Mat& gray, std::vector<cv::Mat>& integrals, int bins) const
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