diff options
Diffstat (limited to 'tracker-pt')
-rw-r--r-- | tracker-pt/point_extractor.cpp | 130 | ||||
-rw-r--r-- | tracker-pt/point_extractor.h | 11 |
2 files changed, 71 insertions, 70 deletions
diff --git a/tracker-pt/point_extractor.cpp b/tracker-pt/point_extractor.cpp index e3472391..23fe7a38 100644 --- a/tracker-pt/point_extractor.cpp +++ b/tracker-pt/point_extractor.cpp @@ -13,7 +13,11 @@ # include "opentrack-compat/timer.hpp" #endif +#include <opencv2/highgui.hpp> + #include <cmath> +#include <algorithm> +#include <cinttypes> PointExtractor::PointExtractor() { @@ -21,9 +25,7 @@ PointExtractor::PointExtractor() points.reserve(max_blobs); } -using vec2 = pt_types::vec2; - -const std::vector<vec2>& PointExtractor::extract_points(cv::Mat& frame) +const std::vector<PointExtractor::vec2>& PointExtractor::extract_points(cv::Mat& frame) { const int W = frame.cols; const int H = frame.rows; @@ -31,7 +33,8 @@ const std::vector<vec2>& PointExtractor::extract_points(cv::Mat& frame) if (frame_gray.rows != frame.rows || frame_gray.cols != frame.cols) { frame_gray = cv::Mat(frame.rows, frame.cols, CV_8U); - frame_bin = cv::Mat(frame.rows, frame.cols, CV_8U);; + frame_bin = cv::Mat(frame.rows, frame.cols, CV_8U); + frame_blobs = cv::Mat(frame.rows, frame.cols, CV_8U); } // convert to grayscale @@ -40,14 +43,10 @@ const std::vector<vec2>& PointExtractor::extract_points(cv::Mat& frame) const double region_size_min = s.min_point_size; const double region_size_max = s.max_point_size; - const int thres = s.threshold; - - contours.clear(); - if (!s.auto_threshold) { + const int thres = s.threshold; cv::threshold(frame_gray, frame_bin, thres, 255, cv::THRESH_BINARY); - cv::findContours(frame_bin, contours, CV_RETR_LIST, CV_CHAIN_APPROX_SIMPLE); } else { @@ -59,87 +58,90 @@ const std::vector<vec2>& PointExtractor::extract_points(cv::Mat& frame) std::vector<float> { 0, 256 }, false); const int sz = hist.cols * hist.rows; - int val = 0; + int thres = s.threshold; int cnt = 0; - constexpr int min_pixels = int(10 * 10 * 3 * pi); - const int pixels_to_include = std::max<int>(0, min_pixels * s.threshold * s.threshold / (256 * 256)); + constexpr double min_pixels = 2 * 2 * 3 * pi; + constexpr double max_pixels = 7 * 7 * 3 * pi; + constexpr double range_pixels = max_pixels - min_pixels; + const int pixels_to_include = std::max<int>(0, int(min_pixels + range_pixels * s.threshold / 256)); auto ptr = reinterpret_cast<const float*>(hist.ptr(0)); - for (int i = sz-1; i >= 0; i--) + for (int i = sz-1; i > 0; i--) { cnt += ptr[i]; if (cnt >= pixels_to_include) { - val = i; + thres = i; break; } } //val *= 240./256.; //qDebug() << "val" << val; - cv::threshold(frame_gray, frame_bin, val, 255, CV_THRESH_BINARY); - cv::findContours(frame_bin, contours, CV_RETR_LIST, CV_CHAIN_APPROX_SIMPLE); + cv::threshold(frame_gray, frame_bin, thres, 255, CV_THRESH_BINARY); } blobs.clear(); + frame_gray.copyTo(frame_blobs); - for (auto& c : contours) + unsigned idx = 0; + for (int y=0; y < frame_gray.rows; y++) { - using std::fabs; + if (idx > max_blobs) break; - const auto m = cv::moments(cv::Mat(c)); - - if (fabs(m.m00) < 1e-3) - continue; - - const cv::Vec2d pos(m.m10 / m.m00, m.m01 / m.m00); - - double radius; -// following based on OpenCV SimpleBlobDetector + const unsigned char* ptr_bin = frame_bin.ptr(y); + for (int x=0; x < frame_gray.cols; x++) { - std::vector<double> dists; - for (auto& k : c) + if (idx > max_blobs) break; + + if (ptr_bin[x] != 255) + continue; + idx = blobs.size(); + cv::Rect rect; + cv::floodFill(frame_blobs, + cv::Point(x,y), + cv::Scalar(idx), + &rect, + cv::Scalar(0), + cv::Scalar(0), + 4); + long m00 = 0; + long m10 = 0; + long m01 = 0; + long cnt = 0; + for (int i=rect.y; i < (rect.y+rect.height); i++) { - dists.push_back(cv::norm(pos - cv::Vec2d(k.x, k.y))); + const unsigned char* ptr_blobs = frame_blobs.ptr(i); + const unsigned char* ptr_gray = frame_gray.ptr(i); + unsigned char* ptr_bin = frame_bin.ptr(i); + for (int j=rect.x; j < (rect.x+rect.width); j++) + { + if (ptr_blobs[j] != idx) continue; + ptr_bin[j] = 0; + const long val = ptr_gray[j]; + m00 += val; + m01 += i * val; + m10 += j * val; + cnt++; + } } - std::sort(dists.begin(), dists.end()); - radius = (dists[(dists.size() - 1)/2] + dists[dists.size()/2])/2; - } - - if (radius < region_size_min || radius > region_size_max) - continue; - - double confid = 1; - { - double denominator = std::sqrt(std::pow(2 * m.mu11, 2) + std::pow(m.mu20 - m.mu02, 2)); - const double eps = 1e-2; - if (denominator > eps) + if (m00 > 0) { - double cosmin = (m.mu20 - m.mu02) / denominator; - double sinmin = 2 * m.mu11 / denominator; - double cosmax = -cosmin; - double sinmax = -sinmin; - - double imin = 0.5 * (m.mu20 + m.mu02) - 0.5 * (m.mu20 - m.mu02) * cosmin - m.mu11 * sinmin; - double imax = 0.5 * (m.mu20 + m.mu02) - 0.5 * (m.mu20 - m.mu02) * cosmax - m.mu11 * sinmax; - confid = imin / imax; + const double radius = std::sqrt(cnt / pi); + if (radius > region_size_max || radius < region_size_min) + continue; + const double norm = double(m00); + blob b(radius, cv::Vec2d(m10 / norm, m01 / norm)); + blobs.push_back(b); + { + char buf[64]; + sprintf(buf, "%.2fpx", radius); + cv::putText(frame, buf, cv::Point(b.pos[0]+30, b.pos[1]+20), cv::FONT_HERSHEY_DUPLEX, 1, cv::Scalar(0, 0, 255), 1); + } } } -// end SimpleBlobDetector - - { - char buf[64]; - sprintf(buf, "%.2fpx %.2fc", radius, confid); - cv::putText(frame, buf, cv::Point(pos[0]+30, pos[1]+20), cv::FONT_HERSHEY_DUPLEX, 1, cv::Scalar(0, 0, 255), 1); - } - - blobs.push_back(blob(radius, pos, confid)); - - if (blobs.size() == max_blobs) - break; } - using b = const blob; - std::sort(blobs.begin(), blobs.end(), [](b& b1, b& b2) {return b1.confid > b2.confid;}); + std::sort(blobs.begin(), blobs.end(), [](const blob& b1, const blob& b2) -> bool { return b2.radius < b1.radius; }); QMutexLocker l(&mtx); points.clear(); diff --git a/tracker-pt/point_extractor.h b/tracker-pt/point_extractor.h index 16740b91..478418e6 100644 --- a/tracker-pt/point_extractor.h +++ b/tracker-pt/point_extractor.h @@ -37,22 +37,21 @@ private: cv::Mat frame_gray; cv::Mat frame_bin; cv::Mat hist; + cv::Mat frame_blobs; - enum { max_blobs = 16 }; + static constexpr int max_blobs = 16; struct blob { double radius; - cv::Vec2d pos; - double confid; - blob(double radius, const cv::Vec2d& pos, double confid) : radius(radius), pos(pos), confid(confid) + vec2 pos; + blob(double radius, const cv::Vec2d& pos) : radius(radius), pos(pos) { - //qDebug() << "radius" << radius << "pos" << pos[0] << pos[1] << "confid" << confid; + //qDebug() << "radius" << radius << "pos" << pos[0] << pos[1]; } }; std::vector<blob> blobs; - std::vector<std::vector<cv::Point>> contours; }; #endif //POINTEXTRACTOR_H |