示例#1
0
    //--------------------------- findBox_r ---------------------------------
            //(do not touch, ever)
void findBox_r(struct Pattern* p_list, CvPoint* ret){
    int i, tempx, tempy, min=32000, value;
    CvPoint tl, bl, tr, br;
    struct Rectangle s_list[4];
    
    for(i=0; i<4; i++){
        s_list[i] = p_list[i].r;
    }
    
    //find top left
    for(i=0; i<4; i++){
        value = sqrt( pow(p_list[i].center.x, 2) + pow(p_list[i].center.y, 2)); //Uses x,y coords of the PATTERNS
        if(value < min){    
            min = value; 
            bl= s_list[i].pt[ findCorner(&s_list[i].pt[0], 0) ]; //Checks x,y coords of the corners of a single pattern
        }
    }
    min = 32000;
    
    //find top right
    for(i=0; i<4; i++){
        value = sqrt( pow(640-p_list[i].center.x, 2) + pow(p_list[i].center.y, 2)); 
        if(value < min){ 
            min = value; 
            br = s_list[i].pt[  findCorner(&s_list[i].pt[0], 1) ]; 
        }
    }
    min = 32000;    

    //find bottom right
    for(i=0; i<4; i++){
        value = sqrt( pow(640-p_list[i].center.x, 2) + pow(480-p_list[i].center.y, 2)); 
        if(value < min){ 
            min = value; 
            tr=s_list[i].pt[  findCorner(&s_list[i].pt[0], 2) ]; 
        }
    }
    min = 32000;

    //find bottom left
    for(i=0; i<4; i++){
        value = sqrt( pow(p_list[i].center.x, 2) + pow(480 - p_list[i].center.y, 2)); 
        if(value < min){ 
            min = value; 
            tl=s_list[i].pt[ findCorner(&s_list[i].pt[0], 3) ];
        }
    }

    ret[0] = bl;
    ret[1] = br;
    ret[2] = tl;
    ret[3] = tr;
    //--------------------------- end findBox_r ---------------------------------

}
int main(){

	vector<Point2f>corners;
	vector<vector<Point2f>>corners_Seq;
	vector<Mat>image_Seq;
		
	findCorner(corners,corners_Seq,image_Seq);


	return 1;
}
std::vector<CornerPoint> CornerDetector::run(const std::vector<FieldLine> &lines) const
{
    std::vector<FieldLine>::const_iterator it1, it2;
    std::vector<CornerPoint> results;

    if(lines.size() < 2) {
        return results;
    }

    if(m_tolerance < 0 || m_tolerance > 1) {
        errorlog << "CornerDetector::run called with invalid tolerance: " << m_tolerance << " (must be in [0, 1]." << std::endl;
        return results;
    }

    for(it1 = lines.begin(); it1 != lines.end()-1; it1++) {
        Line l1 = it1->getGroundLineEquation();
        Vector2<NUPoint> l1_pts = it1->getEndPoints();
        for(it2 = it1+1; it2 < lines.end(); it2++) {
            Line l2 = it2->getGroundLineEquation();
            Vector2<NUPoint> l2_pts = it2->getEndPoints();
            if(l1.getAngleBetween(l2) > (1-m_tolerance)*mathGeneral::PI*0.5) {
                //nearly perpendicular
                //now build corner from end points
                NUPoint intersection;
                if(l1.getIntersection(l2, intersection.groundCartesian)) {
                    CornerPoint::TYPE type = findCorner(l1_pts, l2_pts, intersection, m_tolerance);
                    if(type != CornerPoint::INVALID) {
                        //need screen loc
                        if(it1->getScreenLineEquation().getIntersection(it2->getScreenLineEquation(), intersection.screenCartesian)) {
                            results.push_back(CornerPoint(type, intersection));
                        }
                        else {
                            errorlog << "CornerDetector::run - no intersection found for screen lines - transforms are probably not valid, not publishing corner" <<
                                        "\t" << it1->getScreenLineEquation() << "\t" << it2->getScreenLineEquation() << std::endl;
                        }
                    }
                }
            }
        }
    }

    return results;
}
bool cv::find4QuadCornerSubpix(InputArray _img, InputOutputArray _corners, Size region_size)
{
    CV_INSTRUMENT_REGION();

    Mat img = _img.getMat(), cornersM = _corners.getMat();
    int ncorners = cornersM.checkVector(2, CV_32F);
    CV_Assert( ncorners >= 0 );
    Point2f* corners = cornersM.ptr<Point2f>();
    const int nbins = 256;
    float ranges[] = {0, 256};
    const float* _ranges = ranges;
    Mat hist;

    Mat black_comp, white_comp;
    for(int i = 0; i < ncorners; i++)
    {
        int channels = 0;
        Rect roi(cvRound(corners[i].x - region_size.width), cvRound(corners[i].y - region_size.height),
            region_size.width*2 + 1, region_size.height*2 + 1);
        Mat img_roi = img(roi);
        calcHist(&img_roi, 1, &channels, Mat(), hist, 1, &nbins, &_ranges);

        int black_thresh = 0, white_thresh = 0;
        segment_hist_max(hist, black_thresh, white_thresh);

        threshold(img, black_comp, black_thresh, 255.0, THRESH_BINARY_INV);
        threshold(img, white_comp, white_thresh, 255.0, THRESH_BINARY);

        const int erode_count = 1;
        erode(black_comp, black_comp, Mat(), Point(-1, -1), erode_count);
        erode(white_comp, white_comp, Mat(), Point(-1, -1), erode_count);

        std::vector<std::vector<Point> > white_contours, black_contours;
        findContours(black_comp, black_contours, RETR_LIST, CHAIN_APPROX_SIMPLE);
        findContours(white_comp, white_contours, RETR_LIST, CHAIN_APPROX_SIMPLE);

        if(black_contours.size() < 5 || white_contours.size() < 5) continue;

        // find two white and black blobs that are close to the input point
        std::vector<std::pair<int, float> > white_order, black_order;
        orderContours(black_contours, corners[i], black_order);
        orderContours(white_contours, corners[i], white_order);

        const float max_dist = 10.0f;
        if(black_order[0].second > max_dist || black_order[1].second > max_dist ||
           white_order[0].second > max_dist || white_order[1].second > max_dist)
        {
            continue; // there will be no improvement in this corner position
        }

        const std::vector<Point>* quads[4] = {&black_contours[black_order[0].first], &black_contours[black_order[1].first],
                                         &white_contours[white_order[0].first], &white_contours[white_order[1].first]};
        std::vector<Point2f> quads_approx[4];
        Point2f quad_corners[4];
        for(int k = 0; k < 4; k++)
        {
            std::vector<Point2f> temp;
            for(size_t j = 0; j < quads[k]->size(); j++) temp.push_back((*quads[k])[j]);
            approxPolyDP(Mat(temp), quads_approx[k], 0.5, true);

            findCorner(quads_approx[k], corners[i], quad_corners[k]);
            quad_corners[k] += Point2f(0.5f, 0.5f);
        }

        // cross two lines
        Point2f origin1 = quad_corners[0];
        Point2f dir1 = quad_corners[1] - quad_corners[0];
        Point2f origin2 = quad_corners[2];
        Point2f dir2 = quad_corners[3] - quad_corners[2];
        double angle = acos(dir1.dot(dir2)/(norm(dir1)*norm(dir2)));
        if(cvIsNaN(angle) || cvIsInf(angle) || angle < 0.5 || angle > CV_PI - 0.5) continue;

        findLinesCrossPoint(origin1, dir1, origin2, dir2, corners[i]);
    }

    return true;
}
示例#5
0
文件: DrawPolygon7.cpp 项目: minhpl/C
void DrawPolygon2(int index, RTREE& rtree2, std::vector<polygon>& polygons, int pmap[][HEIGHT])
{
    int xmin, ymin, xmax, ymax;
    box b;
    findCorner(xmin, ymin, xmax, ymax, b, index);

    std::vector<value> result;
    rtree2.query(bgi::intersects(b), std::back_inserter(result));

    RTREE rtree(result.begin(), result.end());

    // std::this_thread::sleep_for(std::chrono::seconds(index));
    // std::cout << bg::wkt<box>(b) << std::endl;


    // std::cout<<"index = "<<index<<"min_corner = "<<xmin<<","<<ymin<<"  max_corner = "<<xmax<<","<<ymax<<std::endl;
    // std::cout<<"polygon size: "<<polygons.size()<<std::endl;

    for (int i = xmin; i <= xmax; i++)
        for (int j = ymin; j <= ymax; j++)
        {
            if (pmap[i][j] == -1)
            {
                point sought = point(i, j);
                std::vector<value> result_n;

                for ( RTREE::const_query_iterator it = qbegin(rtree, bgi::nearest(sought, 100)) ;
                        it != qend(rtree) ; ++it )
                {
                    int id = it->second;
                    auto& poly = polygons[id];
                    auto box = it->first;

                    if (!bg::within(sought, box))
                        break;

                    if ( bg::within(sought, poly) ) {
                        // std::cout<<"**********************\n";
                        // pmap[i][j] = id;

                        point pmin = box.min_corner();
                        point pmax = box.max_corner();

                        int xmin2 = pmin.get<0>();
                        int ymin2 = pmin.get<1>();
                        int xmax2 = pmax.get<0>();
                        int ymax2 = pmax.get<1>();

                        for (int w = xmin2; w <= xmax2; w++) {
                            for (int h = ymin2; h <= ymax2; h++)
                            {
                                if (w < xmin || h < ymin || w >= xmax || h >= ymax || pmap[w][h] >= 0)
                                    continue;
                                if (bg::within(point(w, h), poly))
                                {
                                    pmap[w][h] = id;
                                }
                            }
                        }

                        break;
                    }
                }

            }
        }

    // //random color
    // std::vector<int> colors;
    // int size = polygons.size();
    // for ( int i = 0 ; i < size ; ++i )
    // {
    //     colors.push_back(i % 3 + 1);
    // }

    // //Draw pixel
    // // t1 = std::chrono::high_resolution_clock::now();
    // cv::Mat mat(HEIGHT, WIDTH, CV_8UC4);
    // mat = cv::Scalar(0, 0, 0, 0);


    // for (int i = 0; i < WIDTH; i++)
    //     for (int j = 0; j < HEIGHT; j++)
    //     {
    //         if (pmap[i][j] != -1) {
    //             int c = colors[pmap[i][j]];
    //             auto color = c == 1 ? RED : c == 2 ? GREEN : BLUE;
    //             line( mat, cv::Point(i, j), cv::Point(i, j), color, 2, 8);
    //         }
    //     }

    // line(mat, cv::Point(10, 10), cv::Point(251, 240), cv::Scalar(0, 0, 0, 255), 1, 8);


    // std::vector<int> compression_params;
    // compression_params.push_back(CV_IMWRITE_PNG_COMPRESSION);
    // compression_params.push_back(9);

    // std::string filename = "DrawPolygon7_" + std::to_string(index) + ".png";

    // imwrite(filename, mat, compression_params);
}
示例#6
0
文件: DrawPolygon7.cpp 项目: minhpl/C
int main()
{
    int pmap[NUMTHREAD][WIDTH][HEIGHT];
    //fill all member = -1
    memset(pmap, -1, sizeof(pmap) );

    // polygons
    std::vector<polygon> polygons;
    std::vector<value> values;

    for (int i = 0; i < NUMPOLYGON; i++)
    {
        polygon p = makePolygon(WIDTH, HEIGHT);
        bg::correct(p);
        polygons.push_back(p);
    }

    //std::cout<<polygons.size()<<std::endl;

    // display polygons
    // std::cout << "generated polygons:" << std::endl;
    // BOOST_FOREACH(polygon const & p, polygons)
    // std::cout << bg::wkt<polygon>(p) << std::endl;

    std::chrono::high_resolution_clock::time_point t1 = std::chrono::high_resolution_clock::now();

    // fill the spatial index
    for ( int i = 0 ; i < polygons.size() ; ++i )
    {
        // calculate polygon bounding box
        box b = bg::return_envelope<box>(polygons[i]);
        // insert new value
        values.push_back(std::make_pair(b, i));
    }

    RTREE rtree(values.begin(), values.end());

    std::thread threads[NUMTHREAD];

    for (int i = 0; i < NUMTHREAD; i++)
    {
        threads[i] = std::thread([i, &rtree, &polygons, &pmap]() {
            DrawPolygon2(i, rtree, polygons, pmap[i]);
        });
    }

    for (int i = 0; i < NUMTHREAD; i++)
    {
        threads[i].join();
    }

    //concatenate
    int mapresult[WIDTH][HEIGHT];
    memset(mapresult,-1,sizeof(mapresult));

    for (int index = NUMTHREAD - 1; index >= 0; index--)
    {
        int xmin, ymin, xmax, ymax;
        box b;
        findCorner(xmin, ymin, xmax, ymax, b, index);
        for (int i = xmin; i < xmax; i++)
        {
            for (int j = ymin; j < ymax; j++)
            {
                int id = pmap[index][i][j];
                if (id != -1)
                {
                    mapresult[i][j] = id;
                }
            }
        }
    }

    std::chrono::high_resolution_clock::time_point t2 = std::chrono::high_resolution_clock::now();
    float duration = (float)(std::chrono::duration_cast<std::chrono::milliseconds>( t2 - t1 ).count()) / 1000;
    std::cout << "duration : " << duration << std::endl;


    //random color
    std::vector<int> colors;
    int size = polygons.size();
    for ( int i = 0 ; i < size ; ++i )
    {
        colors.push_back(i % 3 + 1);
    }

    //Draw pixel
    // t1 = std::chrono::high_resolution_clock::now();
    cv::Mat mat(HEIGHT, WIDTH, CV_8UC4);
    mat = cv::Scalar(0, 0, 0, 0);


    for (int i = 0; i < WIDTH; i++)
        for (int j = 0; j < HEIGHT; j++)
        {
            if (mapresult[i][j] != -1) {            
                int c = colors[mapresult[i][j]];
                auto color = c == 1 ? RED : c == 2 ? GREEN : BLUE;
                line( mat, cv::Point(i, j), cv::Point(i, j), color, 2, 8);
            }
        }

    line(mat, cv::Point(10, 10), cv::Point(251, 240), cv::Scalar(0, 0, 0, 255), 1, 8);


    std::vector<int> compression_params;
    compression_params.push_back(CV_IMWRITE_PNG_COMPRESSION);
    compression_params.push_back(9);

    imwrite("DrawPolygon7.png", mat, compression_params);

    return 0;
}