C++ cv::OutputArray类代码示例

    static bool calcLut(cv::InputArray _src, cv::OutputArray _dst,
        const int tilesX, const int tilesY, const cv::Size tileSize,
        const int clipLimit, const float lutScale)
    {
        cv::ocl::Kernel k("calcLut", cv::ocl::imgproc::clahe_oclsrc);
        if(k.empty())
            return false;

        cv::UMat src = _src.getUMat();
        _dst.create(tilesX * tilesY, 256, CV_8UC1);
        cv::UMat dst = _dst.getUMat();

        int tile_size[2];
        tile_size[0] = tileSize.width;
        tile_size[1] = tileSize.height;

        size_t localThreads[3]  = { 32, 8, 1 };
        size_t globalThreads[3] = { tilesX * localThreads[0], tilesY * localThreads[1], 1 };

        int idx = 0;
        idx = k.set(idx, cv::ocl::KernelArg::ReadOnlyNoSize(src));
        idx = k.set(idx, cv::ocl::KernelArg::WriteOnlyNoSize(dst));
        idx = k.set(idx, tile_size);
        idx = k.set(idx, tilesX);
        idx = k.set(idx, clipLimit);
        k.set(idx, lutScale);

        return k.run(2, globalThreads, localThreads, false);
    }

void colorChange(cv::InputArray _src,
                 cv::InputArray _mask,
                 cv::OutputArray _dst,
                 float r,
                 float g,
                 float b)
{
    Mat src  = _src.getMat();
    Mat mask  = _mask.getMat();
    _dst.create(src.size(), src.type());
    Mat blend = _dst.getMat();

    float red = r;
    float green = g;
    float blue = b;

    Mat gray = Mat::zeros(mask.size(), CV_8UC1);

    if(mask.channels() == 3)
        cvtColor(mask, gray, COLOR_BGR2GRAY);
    else
        gray = mask;

    Mat cs_mask = Mat::zeros(src.size(), CV_8UC3);

    src.copyTo(cs_mask, gray);

    Cloning obj;
    obj.local_color_change(src, cs_mask, gray, blend, red, green, blue);
}

void globalMatting(cv::InputArray _image, cv::InputArray _trimap, cv::OutputArray _foreground, cv::OutputArray _alpha, cv::OutputArray _conf)
{
    cv::Mat image = _image.getMat();
    cv::Mat trimap = _trimap.getMat();

    if (image.empty())
        CV_Error(CV_StsBadArg, "image is empty");
    if (image.type() != CV_8UC3)
        CV_Error(CV_StsBadArg, "image mush have CV_8UC3 type");

    if (trimap.empty())
        CV_Error(CV_StsBadArg, "trimap is empty");
    if (trimap.type() != CV_8UC1)
        CV_Error(CV_StsBadArg, "trimap mush have CV_8UC1 type");

    if (image.size() != trimap.size())
        CV_Error(CV_StsBadArg, "image and trimap mush have same size");

    cv::Mat &foreground = _foreground.getMatRef();
    cv::Mat &alpha = _alpha.getMatRef();
    cv::Mat tempConf;

    globalMattingHelper(image, trimap, foreground, alpha, tempConf);

    if(_conf.needed())
        tempConf.copyTo(_conf);
}

void BackgroundSubtractorLOBSTER_<ParallelUtils::eGLSL>::getBackgroundDescriptorsImage(cv::OutputArray oBGDescImg) const {
    lvDbgExceptionWatch;
    CV_Assert(m_bInitialized);
    glAssert(m_bGLInitialized && !m_vnBGModelData.empty());
    CV_Assert(LBSP::DESC_SIZE==2);
    oBGDescImg.create(m_oFrameSize,CV_16UC(int(m_nImgChannels)));
    cv::Mat oOutputImg = oBGDescImg.getMatRef();
    glBindBuffer(GL_SHADER_STORAGE_BUFFER,getSSBOId(BackgroundSubtractorLOBSTER_::eLOBSTERStorageBuffer_BGModelBinding));
    glGetBufferSubData(GL_SHADER_STORAGE_BUFFER,0,m_nBGModelSize*sizeof(uint),(void*)m_vnBGModelData.data());
    glErrorCheck;
    for(size_t nRowIdx=0; nRowIdx<(size_t)m_oFrameSize.height; ++nRowIdx) {
        const size_t nModelRowOffset = nRowIdx*m_nRowStepSize;
        const size_t nImgRowOffset = nRowIdx*oOutputImg.step.p[0];
        for(size_t nColIdx=0; nColIdx<(size_t)m_oFrameSize.width; ++nColIdx) {
            const size_t nModelColOffset = nColIdx*m_nColStepSize+nModelRowOffset;
            const size_t nImgColOffset = nColIdx*oOutputImg.step.p[1]+nImgRowOffset;
            std::array<float,4> afCurrPxSum = {0.0f,0.0f,0.0f,0.0f};
            for(size_t nSampleIdx=0; nSampleIdx<m_nBGSamples; ++nSampleIdx) {
                const size_t nModelPxOffset_color = nSampleIdx*m_nSampleStepSize+nModelColOffset;
                const size_t nModelPxOffset_desc = nModelPxOffset_color+(m_nBGSamples*m_nSampleStepSize);
                for(size_t nChannelIdx=0; nChannelIdx<m_nImgChannels; ++nChannelIdx) {
                    const size_t nModelTotOffset = nChannelIdx+nModelPxOffset_desc;
                    afCurrPxSum[nChannelIdx] += m_vnBGModelData[nModelTotOffset];
                }
            }
            for(size_t nChannelIdx=0; nChannelIdx<m_nImgChannels; ++nChannelIdx) {
                const size_t nSampleChannelIdx = ((nChannelIdx==3||m_nImgChannels==1)?nChannelIdx:2-nChannelIdx);
                const size_t nImgTotOffset = nSampleChannelIdx*2+nImgColOffset;
                *(ushort*)(oOutputImg.data+nImgTotOffset) = (ushort)(afCurrPxSum[nChannelIdx]/m_nBGSamples);
            }
        }
    }
}

    static bool transform(cv::InputArray _src, cv::OutputArray _dst, cv::InputArray _lut,
        const int tilesX, const int tilesY, const cv::Size & tileSize)
    {

        cv::ocl::Kernel k("transform", cv::ocl::imgproc::clahe_oclsrc);
        if(k.empty())
            return false;

        int tile_size[2];
        tile_size[0] = tileSize.width;
        tile_size[1] = tileSize.height;

        cv::UMat src = _src.getUMat();
        _dst.create(src.size(), src.type());
        cv::UMat dst = _dst.getUMat();
        cv::UMat lut = _lut.getUMat();

        size_t localThreads[3]  = { 32, 8, 1 };
        size_t globalThreads[3] = { (size_t)src.cols, (size_t)src.rows, 1 };

        int idx = 0;
        idx = k.set(idx, cv::ocl::KernelArg::ReadOnlyNoSize(src));
        idx = k.set(idx, cv::ocl::KernelArg::WriteOnlyNoSize(dst));
        idx = k.set(idx, cv::ocl::KernelArg::ReadOnlyNoSize(lut));
        idx = k.set(idx, src.cols);
        idx = k.set(idx, src.rows);
        idx = k.set(idx, tile_size);
        idx = k.set(idx, tilesX);
        k.set(idx, tilesY);

        return k.run(2, globalThreads, localThreads, false);
    }

void stereo_disparity_normal(cv::InputArray left_image, cv::InputArray right_image, cv::OutputArray disp_, 
					  int max_dis_level, int scale, float sigma) {
	cv::Mat imL = left_image.getMat();
	cv::Mat imR = right_image.getMat();
	
	CV_Assert(imL.size() == imR.size());
	CV_Assert(imL.type() == CV_8UC3 && imR.type() == CV_8UC3);

	cv::Size imageSize = imL.size();

	disp_.create(imageSize, CV_8U);
	cv::Mat disp = disp_.getMat();
	
	CDisparityHelper dispHelper;
	
//step 1: cost initialization
	cv::Mat costVol = dispHelper.GetMatchingCost(imL, imR, max_dis_level);

//step 2: cost aggregation
	CSegmentTree stree;
	CColorWeight cWeight(imL);
	stree.BuildSegmentTree(imL.size(), sigma, TAU, cWeight);
	stree.Filter(costVol, max_dis_level);

//step 3: disparity computation
	cv::Mat disparity = dispHelper.GetDisparity_WTA((float*)costVol.data, 
		imageSize.width, imageSize.height, max_dis_level);

	MeanFilter(disparity, disparity, 3);

	disparity *= scale;
	disparity.copyTo(disp);
}

/**
 * @brief Compute derivative kernels for sizes different than 3
 * @param _kx Horizontal kernel ues
 * @param _ky Vertical kernel values
 * @param dx Derivative order in X-direction (horizontal)
 * @param dy Derivative order in Y-direction (vertical)
 * @param scale_ Scale factor or derivative size
 */
void compute_derivative_kernels(cv::OutputArray _kx, cv::OutputArray _ky, int dx, int dy, int scale) {

    int ksize = 3 + 2 * (scale - 1);

    // The standard Scharr kernel
    if (scale == 1) {
        getDerivKernels(_kx, _ky, dx, dy, 0, true, CV_32F);
        return;
    }

    _kx.create(ksize, 1, CV_32F, -1, true);
    _ky.create(ksize, 1, CV_32F, -1, true);
    Mat kx = _kx.getMat();
    Mat ky = _ky.getMat();

    float w = 10.0f / 3.0f;
    float norm = 1.0f / (2.0f*scale*(w + 2.0f));

    for (int k = 0; k < 2; k++) {
        Mat* kernel = k == 0 ? &kx : &ky;
        int order = k == 0 ? dx : dy;
        std::vector<float> kerI(ksize, 0.0f);

        if (order == 0) {
            kerI[0] = norm, kerI[ksize / 2] = w*norm, kerI[ksize - 1] = norm;
        }
        else if (order == 1) {
            kerI[0] = -1, kerI[ksize / 2] = 0, kerI[ksize - 1] = 1;
        }

        Mat temp(kernel->rows, kernel->cols, CV_32F, &kerI[0]);
        temp.copyTo(*kernel);
    }
}

void illuminationChange(cv::InputArray _src,
                        cv::InputArray _mask,
                        cv::OutputArray _dst,
                        float a,
                        float b)
{

    Mat src  = _src.getMat();
    Mat mask  = _mask.getMat();
    _dst.create(src.size(), src.type());
    Mat blend = _dst.getMat();
    float alpha = a;
    float beta = b;

    Mat gray = Mat::zeros(mask.size(), CV_8UC1);

    if(mask.channels() == 3)
        cvtColor(mask, gray, COLOR_BGR2GRAY);
    else
        gray = mask;

    Mat cs_mask = Mat::zeros(src.size(), CV_8UC3);

    src.copyTo(cs_mask, gray);

    Cloning obj;
    obj.illum_change(src, cs_mask, gray, blend, alpha, beta);

}

void EdgeDetector_<ParallelUtils::eGLSL>::getLatestEdgeMask(cv::OutputArray _oLastEdgeMask) {
    _oLastEdgeMask.create(m_oFrameSize,CV_8UC1);
    cv::Mat oLastEdgeMask = _oLastEdgeMask.getMat();
    if(!GLImageProcAlgo::m_bFetchingOutput)
    glAssert(GLImageProcAlgo::setOutputFetching(true))
    GLImageProcAlgo::fetchLastOutput(oLastEdgeMask);
}

void textureFlattening(cv::InputArray _src,
                       cv::InputArray _mask,
                       cv::OutputArray _dst,
                       double low_threshold,
                       double high_threshold,
                       int kernel_size)
{

    Mat src  = _src.getMat();
    Mat mask  = _mask.getMat();
    _dst.create(src.size(), src.type());
    Mat blend = _dst.getMat();

    Mat gray = Mat::zeros(mask.size(), CV_8UC1);

    if(mask.channels() == 3)
        cvtColor(mask, gray, COLOR_BGR2GRAY);
    else
        gray = mask;

    Mat cs_mask = Mat::zeros(src.size(), CV_8UC3);

    src.copyTo(cs_mask, gray);

    Cloning obj;
    obj.texture_flatten(src, cs_mask, gray, low_threshold, high_threshold, kernel_size, blend);
}

    void BackgroundSubtractorMedian::operator()(cv::InputArray _image, cv::OutputArray _fgmask, double learningRate)
    {
	framecount++;
	cv::Mat image = _image.getMat();
	if (image.channels() > 1) {
	    cvtColor(image,image,CV_BGR2GRAY);
	}
	if (image.cols == 0 || image.rows == 0) {
	    return;
	}
	_fgmask.create(image.size(), CV_8U);
	cv::Mat fgmask = _fgmask.getMat();
	if (!init)
	{
	    init = true;
	    bgmodel = cv::Mat(image.size(), CV_8U);
	}
	//printf("(%d,%d)(%d) ",image.cols,image.rows,image.type());
	//printf("(%d,%d)(%d)\n",bgmodel.cols,bgmodel.rows,bgmodel.type());

	cv::Mat cmpArr = cv::Mat(image.size(),CV_8U);
	cv::compare(image, bgmodel, cmpArr, CV_CMP_GT);
	cv::bitwise_and(cmpArr, 1, cmpArr);
	cv::add(bgmodel, cmpArr, bgmodel);

	cmpArr = cv::Mat(image.size(),CV_8U);
	cv::compare(image, bgmodel, cmpArr, CV_CMP_LT);
	cv::bitwise_and(cmpArr, 1, cmpArr);
	cv::subtract(bgmodel, cmpArr, bgmodel);

	cv::absdiff(image, bgmodel,fgmask);
	cv::threshold(fgmask,fgmask,fg_threshold,255,CV_THRESH_TOZERO);
	cv::medianBlur(fgmask,fgmask,median_filter_level);
    }

void IBackgroundSubtractor_GLSL::getLatestForegroundMask(cv::OutputArray _oLastFGMask) {
    _oLastFGMask.create(m_oImgSize,CV_8UC1);
    cv::Mat oLastFGMask = _oLastFGMask.getMat();
    glAssert(GLImageProcAlgo::m_bFetchingOutput || GLImageProcAlgo::setOutputFetching(true))
    if(GLImageProcAlgo::m_nInternalFrameIdx>0)
        GLImageProcAlgo::fetchLastOutput(oLastFGMask);
    else
        oLastFGMask = cv::Scalar_<uchar>(0);
}

bool OpenNI2Grabber::grabFrame(cv::OutputArray _color) {
  if (_color.kind() != cv::_InputArray::MAT)
    BOOST_THROW_EXCEPTION(GrabberException("Grabbing only into cv::Mat"));

  _color.create(p->color_image_resolution.height, p->color_image_resolution.width, CV_8UC3);
  cv::Mat color = _color.getMat();

  return p->grabFrame(color);
}

void BackgroundSubtractor_<ParallelUtils::eGLSL>::getLatestForegroundMask(cv::OutputArray _oLastFGMask) {
    _oLastFGMask.create(m_oImgSize,CV_8UC1);
    cv::Mat oLastFGMask = _oLastFGMask.getMat();
    if(!GLImageProcAlgo::m_bFetchingOutput)
    glAssert(GLImageProcAlgo::setOutputFetching(true))
    else if(m_nFrameIdx>0)
        GLImageProcAlgo::fetchLastOutput(oLastFGMask);
    else
        oLastFGMask = cv::Scalar_<uchar>(0);
}

void warmify(cv::InputArray src, cv::OutputArray dst, uchar delta)
{
    CV_Assert(src.type() == CV_8UC3);
    Mat imgSrc = src.getMat();
    CV_Assert(imgSrc.data);
    dst.create(src.size(), CV_8UC3);
    Mat imgDst = dst.getMat();

    imgDst = imgSrc + Scalar(0, delta, delta);
}