opencv/modules/cudaimgproc/src/hough_segments.cpp

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#include "precomp.hpp"

using namespace cv;
using namespace cv::cuda;

#if !defined (HAVE_CUDA) || defined (CUDA_DISABLER)

Ptr<cuda::HoughSegmentDetector> cv::cuda::createHoughSegmentDetector(float, float, int, int, int) { throw_no_cuda(); return Ptr<HoughSegmentDetector>(); }

#else /* !defined (HAVE_CUDA) */

namespace cv { namespace cuda { namespace device
{
    namespace hough
    {
        int buildPointList_gpu(PtrStepSzb src, unsigned int* list);
    }

    namespace hough_lines
    {
        void linesAccum_gpu(const unsigned int* list, int count, PtrStepSzi accum, float rho, float theta, size_t sharedMemPerBlock, bool has20);
    }

    namespace hough_segments
    {
        int houghLinesProbabilistic_gpu(PtrStepSzb mask, PtrStepSzi accum, int4* out, int maxSize, float rho, float theta, int lineGap, int lineLength);
    }
}}}

namespace
{
    class HoughSegmentDetectorImpl : public HoughSegmentDetector
    {
    public:
        HoughSegmentDetectorImpl(float rho, float theta, int minLineLength, int maxLineGap, int maxLines) :
            rho_(rho), theta_(theta), minLineLength_(minLineLength), maxLineGap_(maxLineGap), maxLines_(maxLines)
        {
        }

        void detect(InputArray src, OutputArray lines);

        void setRho(float rho) { rho_ = rho; }
        float getRho() const { return rho_; }

        void setTheta(float theta) { theta_ = theta; }
        float getTheta() const { return theta_; }

        void setMinLineLength(int minLineLength) { minLineLength_ = minLineLength; }
        int getMinLineLength() const { return minLineLength_; }

        void setMaxLineGap(int maxLineGap) { maxLineGap_ = maxLineGap; }
        int getMaxLineGap() const { return maxLineGap_; }

        void setMaxLines(int maxLines) { maxLines_ = maxLines; }
        int getMaxLines() const { return maxLines_; }

        void write(FileStorage& fs) const
        {
            fs << "name" << "PHoughLinesDetector_GPU"
            << "rho" << rho_
            << "theta" << theta_
            << "minLineLength" << minLineLength_
            << "maxLineGap" << maxLineGap_
            << "maxLines" << maxLines_;
        }

        void read(const FileNode& fn)
        {
            CV_Assert( String(fn["name"]) == "PHoughLinesDetector_GPU" );
            rho_ = (float)fn["rho"];
            theta_ = (float)fn["theta"];
            minLineLength_ = (int)fn["minLineLength"];
            maxLineGap_ = (int)fn["maxLineGap"];
            maxLines_ = (int)fn["maxLines"];
        }

    private:
        float rho_;
        float theta_;
        int minLineLength_;
        int maxLineGap_;
        int maxLines_;

        GpuMat accum_;
        GpuMat list_;
        GpuMat result_;
    };

    void HoughSegmentDetectorImpl::detect(InputArray _src, OutputArray lines)
    {
        using namespace cv::cuda::device::hough;
        using namespace cv::cuda::device::hough_lines;
        using namespace cv::cuda::device::hough_segments;

        GpuMat src = _src.getGpuMat();

        CV_Assert( src.type() == CV_8UC1 );
        CV_Assert( src.cols < std::numeric_limits<unsigned short>::max() );
        CV_Assert( src.rows < std::numeric_limits<unsigned short>::max() );

        ensureSizeIsEnough(1, src.size().area(), CV_32SC1, list_);
        unsigned int* srcPoints = list_.ptr<unsigned int>();

        const int pointsCount = buildPointList_gpu(src, srcPoints);
        if (pointsCount == 0)
        {
            lines.release();
            return;
        }

        const int numangle = cvRound(CV_PI / theta_);
        const int numrho = cvRound(((src.cols + src.rows) * 2 + 1) / rho_);
        CV_Assert( numangle > 0 && numrho > 0 );

        ensureSizeIsEnough(numangle + 2, numrho + 2, CV_32SC1, accum_);
        accum_.setTo(Scalar::all(0));

        DeviceInfo devInfo;
        linesAccum_gpu(srcPoints, pointsCount, accum_, rho_, theta_, devInfo.sharedMemPerBlock(), devInfo.supports(FEATURE_SET_COMPUTE_20));

        ensureSizeIsEnough(1, maxLines_, CV_32SC4, result_);

        int linesCount = houghLinesProbabilistic_gpu(src, accum_, result_.ptr<int4>(), maxLines_, rho_, theta_, maxLineGap_, minLineLength_);

        if (linesCount == 0)
        {
            lines.release();
            return;
        }

        result_.cols = linesCount;
        result_.copyTo(lines);
    }
}

Ptr<HoughSegmentDetector> cv::cuda::createHoughSegmentDetector(float rho, float theta, int minLineLength, int maxLineGap, int maxLines)
{
    return new HoughSegmentDetectorImpl(rho, theta, minLineLength, maxLineGap, maxLines);
}

#endif /* !defined (HAVE_CUDA) */