C++ pointer::getHeight方法代码示例

void SeededRegionGrowing::executeOnHost(T* input, Image::pointer output) {
    ImageAccess::pointer outputAccess = output->getImageAccess(ACCESS_READ_WRITE);
    uchar* outputData = (uchar*)outputAccess->get();
    // initialize output to all zero
    memset(outputData, 0, output->getWidth()*output->getHeight()*output->getDepth());
    std::stack<Vector3ui> queue;

    // Add seeds to queue
    for(int i = 0; i < mSeedPoints.size(); i++) {
        Vector3ui pos = mSeedPoints[i];

        // Check if seed point is in bounds
        if(pos.x() < 0 || pos.y() < 0 || pos.z() < 0 ||
            pos.x() >= output->getWidth() || pos.y() >= output->getHeight() || pos.z() >= output->getDepth())
            throw Exception("One of the seed points given to SeededRegionGrowing was out of bounds.");

        queue.push(pos);
    }

    // Process queue
    while(!queue.empty()) {
        Vector3ui pos = queue.top();
        queue.pop();

        // Add neighbors to queue
        for(int a = -1; a < 2; a++) {
        for(int b = -1; b < 2; b++) {
        for(int c = -1; c < 2; c++) {
            if(abs(a)+abs(b)+abs(c) != 1) // connectivity
                continue;
            Vector3ui neighbor(pos.x()+a,pos.y()+b,pos.z()+c);
            // Check for out of bounds
            if(neighbor.x() < 0 || neighbor.y() < 0 || neighbor.z() < 0 ||
                neighbor.x() >= output->getWidth() || neighbor.y() >= output->getHeight() || neighbor.z() >= output->getDepth())
                continue;

            // Check that voxel is not already segmented
            if(outputData[neighbor.x()+neighbor.y()*output->getWidth()+neighbor.z()*output->getWidth()*output->getHeight()] == 1)
                continue;

            // Check condition
            T value = input[neighbor.x()+neighbor.y()*output->getWidth()+neighbor.z()*output->getWidth()*output->getHeight()];
            if(value >= mMinimumIntensity && value <= mMaximumIntensity) {
                // add it to segmentation
                outputData[neighbor.x()+neighbor.y()*output->getWidth()+neighbor.z()*output->getWidth()*output->getHeight()] = 1;

                // Add to queue
                queue.push(neighbor);
            }
        }}}
    }
}

static igtl::ImageMessage::Pointer createIGTLImageMessage(Image::pointer image) {
    // size parameters
    int   size[3]     = {(int)image->getWidth(), (int)image->getHeight(), (int)image->getDepth()};       // image dimension
    float spacing[3]  = {image->getSpacing().x(), image->getSpacing().y(), image->getSpacing().z()};     // spacing (mm/pixel)
    int   svoffset[3] = {0, 0, 0};           // sub-volume offset
    int   scalarType;
    size_t totalSize = image->getWidth()*image->getHeight()*image->getDepth()*image->getNrOfChannels();
    switch(image->getDataType()) {
        case TYPE_UINT8:
            scalarType = igtl::ImageMessage::TYPE_UINT8;
            totalSize *= sizeof(unsigned char);
            break;
        case TYPE_INT8:
            scalarType = igtl::ImageMessage::TYPE_INT8;
            totalSize *= sizeof(char);
            break;
        case TYPE_UINT16:
            scalarType = igtl::ImageMessage::TYPE_UINT16;
            totalSize *= sizeof(unsigned short);
            break;
        case TYPE_INT16:
            scalarType = igtl::ImageMessage::TYPE_INT16;
            totalSize *= sizeof(short);
            break;
        case TYPE_FLOAT:
            scalarType = igtl::ImageMessage::TYPE_FLOAT32;
            totalSize *= sizeof(float);
            break;
    }

    //------------------------------------------------------------
    // Create a new IMAGE type message
    igtl::ImageMessage::Pointer imgMsg = igtl::ImageMessage::New();
    imgMsg->SetDimensions(size);
    imgMsg->SetSpacing(spacing);
    imgMsg->SetNumComponents(image->getNrOfChannels());
    imgMsg->SetScalarType(scalarType);
    imgMsg->SetDeviceName("DummyImage");
    imgMsg->SetSubVolume(size, svoffset);
    imgMsg->AllocateScalars();

    ImageAccess::pointer access = image->getImageAccess(ACCESS_READ);
    memcpy(imgMsg->GetScalarPointer(), access->get(), totalSize);

    return imgMsg;
}

void executeAlgorithmOnHost(Image::pointer input, Image::pointer output) {
    ImageAccess inputAccess = input->getImageAccess(ACCESS_READ);
    ImageAccess outputAccess = output->getImageAccess(ACCESS_READ_WRITE);

    T * inputData = (T*)inputAccess.get();
    T * outputData = (T*)outputAccess.get();

    unsigned int nrOfElements = input->getWidth()*input->getHeight()*input->getDepth()*input->getNrOfComponents();
    for(unsigned int i = 0; i < nrOfElements; i++) {
        outputData[i] = 2.0*inputData[i];
    }
}

void executeAlgorithmOnHost(Image::pointer input, Image::pointer output, unsigned char group, unsigned char window, float strength, unsigned char sigma) {
	throw Exception("This is on host, does not work atm");
    
    ImageAccess::pointer inputAccess = input->getImageAccess(ACCESS_READ);
    ImageAccess::pointer outputAccess = output->getImageAccess(ACCESS_READ_WRITE);

    T * inputData = (T*)inputAccess->get();
    T * outputData = (T*)outputAccess->get();

    unsigned int width = input->getWidth();
    unsigned int height = input->getHeight();
    //Window is window-1/2
    //group is group-1/2
    //strength is strength*strength
    //sigma is sigma*sigma
    //Not working atm with the T
    //Does not work with outofbounds atm
    //So this code is for all pixels inbound, meaning x + group + window < width / x - group - window > 0 //same for y
    for (int x = 0; x < width; x++){
        for (int y = 0; y < height; y++){
            
            double normSum = 0.0;
            double totSum = 0.0;
            double indi = 0.0;
            double groupTot = 0.0;
            double value = 0.0;

            for (int i = x - window; i <= x + window; i++){
                for (int j = y - window; j <= y + window; j++){
                    if (i != x && j != y){

                        int mX = x - group;
                        int mY = y - group;
                        for (int k = i - group; k <= i + group; k++, mX++){
                            for (int l = j - group; l <= j + group; l++, mY++){
                                //This is wrong, need to fix T
                                //indi = inputData[mX][mY] - inputData[k][l];
                                indi = abs(indi*indi);
                                indi = exp( - (indi/strength));
                                groupTot += indi;
                            }
                        }
                        //This is wrong, need to fix T
                        //value = inputData[i][j];
                        double pA[] = {i,j};
                        double pB[] = {x,y};
                        //double dist = i, j - x, y;
                        double dist = std::inner_product(std::begin(pA), std::end(pA), std::begin(pB), 0.0);
                        
                        double gaussWeight = exp(-(dist / (2.0 * sigma)));
                        gaussWeight = gaussWeight / (2.0 * sigma);
                        groupTot *= gaussWeight;

                        normSum += groupTot;
                        totSum += groupTot * value;
                        groupTot = 0.0;
                    }
                }
            }
            value = totSum / normSum;
            /*
            Not sure it needed
            if (value < 0){
                value = 0;
            }
            if (value > 1.0){
                value = 1.0f;
            }
            */
            //This is wrong, need to fix T
            //outputData[x][y] = (T)value;
            
        }
    }
}

/*
void NoneLocalMeans::recompileOpenCLCode(Image::pointer input) {
	// Check if there is a need to recompile OpenCL code
	if (input->getDimensions() == mDimensionCLCodeCompiledFor &&
		input->getDataType() == mTypeCLCodeCompiledFor && !recompile)
		return;

	OpenCLDevice::pointer device = getMainDevice();
    recompile = false;
	std::string buildOptions = "";
	const bool writingTo3DTextures = device->getDevice().getInfo<CL_DEVICE_EXTENSIONS>().find("cl_khr_3d_image_writes") != std::string::npos;
	if (!writingTo3DTextures) {
		switch (mOutputType) {
		case TYPE_FLOAT:
			buildOptions += " -DTYPE=float";
			break;
		case TYPE_INT8:
			buildOptions += " -DTYPE=char";
			break;
		case TYPE_UINT8:
			buildOptions += " -DTYPE=uchar";
			break;
		case TYPE_INT16:
			buildOptions += " -DTYPE=short";
			break;
		case TYPE_UINT16:
			buildOptions += " -DTYPE=ushort";
			break;
		}
	}
    buildOptions += " -D WINDOW=";
    buildOptions += std::to_string((windowSize-1)/2);
	buildOptions += " -D GROUP=";
    buildOptions += std::to_string((groupSize-1)/2);
    
	std::string filename;
	//might have to seperate color vs gray here, for better runtime
	if (input->getDimensions() == 2) {
        if(k == 0){
            filename = "Algorithms/NoneLocalMeans/NoneLocalMeans2Dconstant.cl";
        }else if(k == 1){
            filename = "Algorithms/NoneLocalMeans/NoneLocalMeans2Dgaussian.cl";
        }else{
            filename = "Algorithms/NoneLocalMeans/NoneLocalMeans2Dconstant.cl";
        }
		//filename = "Algorithms/NoneLocalMeans/NoneLocalMeans2DgsPixelWise.cl";
		//filename = "Algorithms/NoneLocalMeans/NoneLocalMeans2Dgs.cl";
        //filename = "Algorithms/NoneLocalMeans/NoneLocalMeans2Dc.cl";
	}
	else {
		filename = "Algorithms/NoneLocalMeans/NoneLocalMeans3Dgs.cl";
	}
	int programNr = device->createProgramFromSource(std::string(FAST_SOURCE_DIR) + filename, buildOptions);
	mKernel = cl::Kernel(device->getProgram(programNr), "noneLocalMeans");
	mDimensionCLCodeCompiledFor = input->getDimensions();
	mTypeCLCodeCompiledFor = input->getDataType();
}*/
void NoneLocalMeans::execute() {
    Image::pointer input = getStaticInputData<Image>(0);
    Image::pointer output = getStaticOutputData<Image>(0);
    
    // Initialize output image
    ExecutionDevice::pointer device = getMainDevice();
    if(mOutputTypeSet) {
        output->create(input->getSize(), mOutputType, input->getNrOfComponents());
        output->setSpacing(input->getSpacing());
    } else {
        output->createFromImage(input);
    }
    mOutputType = output->getDataType();
    SceneGraph::setParentNode(output, input);
    
    
    if(device->isHost()) {
        switch(input->getDataType()) {
                fastSwitchTypeMacro(executeAlgorithmOnHost<FAST_TYPE>(input, output, groupSize, windowSize, denoiseStrength, sigma));
        }
    } else {
        OpenCLDevice::pointer clDevice = device;
        
        recompileOpenCLCode(input);
        
        cl::NDRange globalSize;
        
        OpenCLImageAccess::pointer inputAccess = input->getOpenCLImageAccess(ACCESS_READ, device);
        if(input->getDimensions() == 2) {
            OpenCLImageAccess::pointer outputAccess = output->getOpenCLImageAccess(ACCESS_READ_WRITE, device);
            mKernel.setArg(2, (denoiseStrength*denoiseStrength));
            mKernel.setArg(3, (sigma*sigma));
            globalSize = cl::NDRange(input->getWidth(),input->getHeight());
            mKernel.setArg(0, *inputAccess->get2DImage());
            mKernel.setArg(1, *outputAccess->get2DImage());
            clDevice->getCommandQueue().enqueueNDRangeKernel(
                    mKernel,
                    cl::NullRange,
                    globalSize,
                    cl::NullRange
            );
        } else {
            // Create an auxilliary image
//.........这里部分代码省略.........

void DoubleFilter::execute() {
    if(!mInput.isValid()) {
        throw Exception("No input supplied to GaussianSmoothingFilter");
    }

    Image::pointer input = mInput;
    Image::pointer output = mOutput;

    // Initialize output image
    output->createFromImage(input, mDevice);

    if(mDevice->isHost()) {
        // Execution device is Host, use the executeAlgorithmOnHost function with the given data type
        switch(input->getDataType()) {
            // This macro creates a case statement for each data type and sets FAST_TYPE to the correct C++ data type
            fastSwitchTypeMacro(executeAlgorithmOnHost<FAST_TYPE>(input, output));
        }
    } else {
        // Execution device is an OpenCL device
        OpenCLDevice::pointer device = boost::static_pointer_cast<OpenCLDevice>(mDevice);

        // Set build options based on the data type of the data
        std::string buildOptions = "";
        switch(input->getDataType()) {
        case TYPE_FLOAT:
            buildOptions = "-DTYPE=float";
            break;
        case TYPE_INT8:
            buildOptions = "-DTYPE=char";
            break;
        case TYPE_UINT8:
            buildOptions = "-DTYPE=uchar";
            break;
        case TYPE_INT16:
            buildOptions = "-DTYPE=short";
            break;
        case TYPE_UINT16:
            buildOptions = "-DTYPE=ushort";
            break;
        }

        // Compile the code
        int programNr = device->createProgramFromSource(std::string(FAST_SOURCE_DIR) + "Tests/Algorithms/DoubleFilter.cl", buildOptions);
        cl::Kernel kernel = cl::Kernel(device->getProgram(programNr), "doubleFilter");

        // Get global size for the kernel
        cl::NDRange globalSize(input->getWidth()*input->getHeight()*input->getDepth()*input->getNrOfComponents());

        // Set the arguments for the kernel
        OpenCLBufferAccess inputAccess = input->getOpenCLBufferAccess(ACCESS_READ, device);
        OpenCLBufferAccess outputAccess = output->getOpenCLBufferAccess(ACCESS_READ_WRITE, device);
        kernel.setArg(0, *inputAccess.get());
        kernel.setArg(1, *outputAccess.get());

        // Execute the kernel
        device->getCommandQueue().enqueueNDRangeKernel(
                kernel,
                cl::NullRange,
                globalSize,
                cl::NullRange
        );
    }

    // Update timestamp of the output data
    output->updateModifiedTimestamp();
}

void SeededRegionGrowing::execute() {
    if(mSeedPoints.size() == 0)
        throw Exception("No seed points supplied to SeededRegionGrowing");

    Image::pointer input = getStaticInputData<Image>();
    if(input->getNrOfComponents() != 1)
        throw Exception("Seeded region growing currently doesn't support images with several components.");

    Segmentation::pointer output = getStaticOutputData<Segmentation>();

    // Initialize output image
    output->createFromImage(input, getMainDevice());

    if(getMainDevice()->isHost()) {
        ImageAccess::pointer inputAccess = input->getImageAccess(ACCESS_READ);
        void* inputData = inputAccess->get();
        switch(input->getDataType()) {
            fastSwitchTypeMacro(executeOnHost<FAST_TYPE>((FAST_TYPE*)inputData, output));
        }
    } else {
        OpenCLDevice::pointer device = getMainDevice();

        recompileOpenCLCode(input);

        ImageAccess::pointer access = output->getImageAccess(ACCESS_READ_WRITE);
        uchar* outputData = (uchar*)access->get();
        // Initialize to all 0s
        memset(outputData,0,sizeof(uchar)*output->getWidth()*output->getHeight()*output->getDepth());

        // Add sedd points
        for(int i = 0; i < mSeedPoints.size(); i++) {
            Vector3ui pos = mSeedPoints[i];

            // Check if seed point is in bounds
            if(pos.x() < 0 || pos.y() < 0 || pos.z() < 0 ||
                pos.x() >= output->getWidth() || pos.y() >= output->getHeight() || pos.z() >= output->getDepth())
                throw Exception("One of the seed points given to SeededRegionGrowing was out of bounds.");

            outputData[pos.x() + pos.y()*output->getWidth() + pos.z()*output->getWidth()*output->getHeight()] = 2;
        }
        access->release();

        cl::NDRange globalSize;
        if(output->getDimensions() == 2) {
            globalSize = cl::NDRange(input->getWidth(),input->getHeight());
            OpenCLImageAccess2D::pointer inputAccess = input->getOpenCLImageAccess2D(ACCESS_READ, device);
            mKernel.setArg(0, *inputAccess->get());
        } else {
            globalSize = cl::NDRange(input->getWidth(),input->getHeight(), input->getDepth());
            OpenCLImageAccess3D::pointer inputAccess = input->getOpenCLImageAccess3D(ACCESS_READ, device);
            mKernel.setArg(0, *inputAccess->get());
        }

        OpenCLBufferAccess::pointer outputAccess = output->getOpenCLBufferAccess(ACCESS_READ_WRITE, device);
        cl::Buffer stopGrowingBuffer = cl::Buffer(
                device->getContext(),
                CL_MEM_READ_WRITE,
                sizeof(char));
        cl::CommandQueue queue = device->getCommandQueue();
        mKernel.setArg(1, *outputAccess->get());
        mKernel.setArg(2, stopGrowingBuffer);
        mKernel.setArg(3, mMinimumIntensity);
        mKernel.setArg(4, mMaximumIntensity);

        bool stopGrowing = false;
        char stopGrowingInit = 1;
        char * stopGrowingResult = new char;
        int iterations = 0;
        do {
            iterations++;
            queue.enqueueWriteBuffer(stopGrowingBuffer, CL_TRUE, 0, sizeof(char), &stopGrowingInit);

            queue.enqueueNDRangeKernel(
                    mKernel,
                    cl::NullRange,
                    globalSize,
                    cl::NullRange
            );

            queue.enqueueReadBuffer(stopGrowingBuffer, CL_TRUE, 0, sizeof(char), stopGrowingResult);
            if(*stopGrowingResult == 1)
                stopGrowing = true;
        } while(!stopGrowing);
    }

}

void ImageSlicer::orthogonalSlicing(Image::pointer input, Image::pointer output) {
    OpenCLDevice::pointer device = getMainDevice();

    // Determine slice nr and width and height
    unsigned int sliceNr;
    if(mOrthogonalSliceNr < 0) {
        switch(mOrthogonalSlicePlane) {
        case PLANE_X:
            sliceNr = input->getWidth()/2;
            break;
        case PLANE_Y:
            sliceNr = input->getHeight()/2;
            break;
        case PLANE_Z:
            sliceNr = input->getDepth()/2;
            break;
        }
    } else {
        // Check that mSliceNr is valid
        sliceNr = mOrthogonalSliceNr;
        switch(mOrthogonalSlicePlane) {
        case PLANE_X:
            if(sliceNr >= input->getWidth())
                sliceNr = input->getWidth()-1;
            break;
        case PLANE_Y:
            if(sliceNr >= input->getHeight())
                sliceNr = input->getHeight()-1;
            break;
        case PLANE_Z:
            if(sliceNr >= input->getDepth())
                sliceNr = input->getDepth()-1;
            break;
        }
    }
    unsigned int slicePlaneNr, width, height;
    Vector3f spacing(0,0,0);
    switch(mOrthogonalSlicePlane) {
        case PLANE_X:
            slicePlaneNr = 0;
            width = input->getHeight();
            height = input->getDepth();
            spacing.x() = input->getSpacing().y();
            spacing.y() = input->getSpacing().z();
            break;
        case PLANE_Y:
            slicePlaneNr = 1;
            width = input->getWidth();
            height = input->getDepth();
            spacing.x() = input->getSpacing().x();
            spacing.y() = input->getSpacing().z();
            break;
        case PLANE_Z:
            slicePlaneNr = 2;
            width = input->getWidth();
            height = input->getHeight();
            spacing.x() = input->getSpacing().x();
            spacing.y() = input->getSpacing().y();
            break;
    }

    output->create(width, height, input->getDataType(), input->getNrOfComponents());
    output->setSpacing(spacing);

    OpenCLImageAccess::pointer inputAccess = input->getOpenCLImageAccess(ACCESS_READ, device);
    OpenCLImageAccess::pointer outputAccess = output->getOpenCLImageAccess(ACCESS_READ_WRITE, device);

	cl::CommandQueue queue = device->getCommandQueue();
	cl::Program program = getOpenCLProgram(device);
	cl::Kernel kernel(program, "orthogonalSlicing");

    kernel.setArg(0, *inputAccess->get3DImage());
    kernel.setArg(1, *outputAccess->get2DImage());
    kernel.setArg(2, sliceNr);
    kernel.setArg(3, slicePlaneNr);
    queue.enqueueNDRangeKernel(
            kernel,
            cl::NullRange,
            cl::NDRange(width, height),
            cl::NullRange
    );

    // TODO set scene graph transformation
}

#include "VTKImageImporter.hpp"
#include "VTKImageExporter.hpp"
#include "ImageImporter.hpp"

using namespace fast;

// TODO rewrite this test so that it doesn't use the vtk exporter
TEST_CASE("Import an image from VTK to FAST", "[fast][VTK]") {
    ImageImporter::pointer importer = ImageImporter::New();
    importer->setFilename(std::string(FAST_TEST_DATA_DIR) + "US-2D.jpg");
    Image::pointer fastImage = importer->getOutput();

    // VTK Export
    vtkSmartPointer<VTKImageExporter> vtkExporter = VTKImageExporter::New();
    vtkExporter->SetInput(fastImage);
    vtkSmartPointer<vtkImageData> vtkImage = vtkExporter->GetOutput();
    vtkExporter->Update();

    // VTK Import example
    VTKImageImporter::pointer vtkImporter = VTKImageImporter::New();
    vtkImporter->setInput(vtkImage);
    Image::pointer importedImage = vtkImporter->getOutput();
    vtkImporter->update();

    CHECK(fastImage->getWidth() == importedImage->getWidth());
    CHECK(fastImage->getHeight() == importedImage->getHeight());
    CHECK(fastImage->getDepth() == 1);
    CHECK(fastImage->getDimensions() == 2);
    CHECK(fastImage->getDataType() == TYPE_FLOAT);
}

void
SegmentationRenderer::draw(Matrix4f perspectiveMatrix, Matrix4f viewingMatrix, float zNear, float zFar, bool mode2D) {
    std::lock_guard<std::mutex> lock(mMutex);
    OpenCLDevice::pointer device = std::dynamic_pointer_cast<OpenCLDevice>(getMainDevice());


    if(mColorsModified) {
        // Transfer colors to device (this doesn't have to happen every render call..)
        std::unique_ptr<float[]> colorData(new float[3*mLabelColors.size()]);
        std::unordered_map<int, Color>::iterator it;
        for(it = mLabelColors.begin(); it != mLabelColors.end(); it++) {
            colorData[it->first*3] = it->second.getRedValue();
            colorData[it->first*3+1] = it->second.getGreenValue();
            colorData[it->first*3+2] = it->second.getBlueValue();
        }

        mColorBuffer = cl::Buffer(
                device->getContext(),
                CL_MEM_READ_ONLY | CL_MEM_COPY_HOST_PTR,
                sizeof(float)*3*mLabelColors.size(),
                colorData.get()
        );
    }

    if(mFillAreaModified) {
        // Transfer colors to device (this doesn't have to happen every render call..)
        std::unique_ptr<char[]> fillAreaData(new char[mLabelColors.size()]);
        std::unordered_map<int, Color>::iterator it;
        for(it = mLabelColors.begin(); it != mLabelColors.end(); it++) {
            if(mLabelFillArea.count(it->first) == 0) {
                // Use default value
                fillAreaData[it->first] = mFillArea;
            } else {
                fillAreaData[it->first] = mLabelFillArea[it->first];
            }
        }

        mFillAreaBuffer = cl::Buffer(
                device->getContext(),
                CL_MEM_READ_ONLY | CL_MEM_COPY_HOST_PTR,
                sizeof(char)*mLabelColors.size(),
                fillAreaData.get()
        );
    }

    mKernel = cl::Kernel(getOpenCLProgram(device), "renderToTexture");
    mKernel.setArg(2, mColorBuffer);
    mKernel.setArg(3, mFillAreaBuffer);
    mKernel.setArg(4, mBorderRadius);
    mKernel.setArg(5, mOpacity);


    for(auto it : mDataToRender) {
        Image::pointer input = std::static_pointer_cast<Image>(it.second);
        uint inputNr = it.first;

        if(input->getDimensions() != 2)
            throw Exception("SegmentationRenderer only supports 2D images. Use ImageSlicer to extract a 2D slice from a 3D image.");

        if(input->getDataType() != TYPE_UINT8)
            throw Exception("SegmentationRenderer only support images with dat type uint8.");

        // Check if a texture has already been created for this image
        if(mTexturesToRender.count(inputNr) > 0 && mImageUsed[inputNr] == input)
            continue; // If it has already been created, skip it

        // If it has not been created, create the texture

        OpenCLImageAccess::pointer access = input->getOpenCLImageAccess(ACCESS_READ, device);
        cl::Image2D *clImage = access->get2DImage();

        // Run kernel to fill the texture
        cl::CommandQueue queue = device->getCommandQueue();

        if (mTexturesToRender.count(inputNr) > 0) {
            // Delete old texture
            glDeleteTextures(1, &mTexturesToRender[inputNr]);
            mTexturesToRender.erase(inputNr);
            glDeleteVertexArrays(1, &mVAO[inputNr]);
            mVAO.erase(inputNr);
        }

        cl::Image2D image;
        cl::ImageGL imageGL;
        std::vector<cl::Memory> v;
        GLuint textureID;
        // TODO The GL-CL interop here is causing glClear to not work on AMD systems and therefore disabled
        /*
        if(DeviceManager::isGLInteropEnabled()) {
            // Create OpenGL texture
            glGenTextures(1, &textureID);
            glBindTexture(GL_TEXTURE_2D, textureID);
            glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MAG_FILTER, GL_LINEAR);
            glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MIN_FILTER, GL_LINEAR);
            glTexImage2D(GL_TEXTURE_2D, 0, GL_RGBA32F, input->getWidth(), input->getHeight(), 0, GL_RGBA, GL_FLOAT, 0);

            // Create CL-GL image
            imageGL = cl::ImageGL(
                    device->getContext(),
                    CL_MEM_READ_WRITE,
//.........这里部分代码省略.........