fixed several warnings (VS2010, Win64)

added getParams method to VideoWriter_GPU

modules/core/include/opencv2/core/opengl_interop.hpp

@@ -221,7 +221,7 @@ namespace cv
 
         static Ptr<GlFont> get(const std::string& family, int height = 12, Weight weight = WEIGHT_NORMAL, Style style = STYLE_NORMAL);
 
-        void draw(const char* str, int len) const;
+        void draw(const char* str, size_t len) const;
 
         inline const std::string& family() const { return family_; }
         inline int height() const { return height_; }

modules/core/src/cuda/matrix_operations.cu

@@ -67,7 +67,7 @@ namespace cv { namespace gpu { namespace device
             cv::gpu::device::transform((DevMem2D_<T>)src, (DevMem2D_<T>)dst, identity<T>(), SingleMaskChannels(mask, cn), stream);
     }
 
-    void copyToWithMask_gpu(DevMem2Db src, DevMem2Db dst, int elemSize1, int cn, DevMem2Db mask, bool colorMask, cudaStream_t stream)
+    void copyToWithMask_gpu(DevMem2Db src, DevMem2Db dst, size_t elemSize1, int cn, DevMem2Db mask, bool colorMask, cudaStream_t stream)
     {
         typedef void (*func_t)(DevMem2Db src, DevMem2Db dst, int cn, DevMem2Db mask, bool colorMask, cudaStream_t stream);
 

modules/core/src/gpumat.cpp

@@ -320,7 +320,8 @@ namespace
     template <class T> void getCudaAttribute(T *attribute, CUdevice_attribute device_attribute, int device)
     {
         *attribute = T();
-        CUresult error = CUDA_SUCCESS;// = cuDeviceGetAttribute( attribute, device_attribute, device ); why link erros under ubuntu??
+        //CUresult error = CUDA_SUCCESS;// = cuDeviceGetAttribute( attribute, device_attribute, device ); why link erros under ubuntu??
+        CUresult error = cuDeviceGetAttribute( attribute, device_attribute, device );
         if( CUDA_SUCCESS == error )
             return;
 
@@ -760,7 +761,7 @@ namespace
 
 namespace cv { namespace gpu { namespace device
 {
-    void copyToWithMask_gpu(DevMem2Db src, DevMem2Db dst, int elemSize1, int cn, DevMem2Db mask, bool colorMask, cudaStream_t stream);
+    void copyToWithMask_gpu(DevMem2Db src, DevMem2Db dst, size_t elemSize1, int cn, DevMem2Db mask, bool colorMask, cudaStream_t stream);
 
     template <typename T>
     void set_to_gpu(DevMem2Db mat, const T* scalar, int channels, cudaStream_t stream);

modules/core/src/opengl_interop.cpp

@@ -1257,7 +1257,7 @@ cv::GlFont::GlFont(const string& family, int height, Weight weight, Style style)
 #endif
 }
 
-void cv::GlFont::draw(const char* str, int len) const
+void cv::GlFont::draw(const char* str, size_t len) const
 {
 #ifndef HAVE_OPENGL
     (void)str;
@@ -1269,7 +1269,7 @@ void cv::GlFont::draw(const char* str, int len) const
         glPushAttrib(GL_LIST_BIT);
         glListBase(base_);
 
-        glCallLists(len, GL_UNSIGNED_BYTE, str);
+        glCallLists(static_cast<GLsizei>(len), GL_UNSIGNED_BYTE, str);
 
         glPopAttrib();
 

modules/gpu/include/opencv2/gpu/gpu.hpp

@@ -1928,7 +1928,7 @@ public:
 
     void write(const cv::gpu::GpuMat& image, bool lastFrame = false);
 
-    struct EncoderParams
+    struct CV_EXPORTS EncoderParams
     {
         int       P_Interval;      //    NVVE_P_INTERVAL,
         int       IDR_Period;      //    NVVE_IDR_PERIOD,
@@ -1957,7 +1957,9 @@ public:
         void save(const std::string& configFile) const;
     };
 
-    class EncoderCallBack
+    EncoderParams getParams() const;
+
+    class CV_EXPORTS EncoderCallBack
     {
     public:
         enum PicType
@@ -2056,7 +2058,7 @@ public:
     FormatInfo format() const;
     void dumpFormat(std::ostream& st);
 
-    class VideoSource
+    class CV_EXPORTS VideoSource
     {
     public:
         VideoSource() : frameQueue_(0), videoParser_(0) {}

modules/gpu/src/gftt.cpp

@@ -160,7 +160,7 @@ void cv::gpu::GoodFeaturesToTrackDetector_GPU::operator ()(const GpuMat& image,
             }
         }
 
-        corners.upload(Mat(1, tmp2.size(), CV_32FC2, &tmp2[0]));
+        corners.upload(Mat(1, static_cast<int>(tmp2.size()), CV_32FC2, &tmp2[0]));
     }
 }
 

modules/gpu/src/imgproc.cpp

@@ -1300,9 +1300,9 @@ void cv::gpu::ConvolveBuf::create(Size image_size, Size templ_size)
     // CUFFT has hard-coded kernels for power-of-2 sizes (up to 8192),
     // see CUDA Toolkit 4.1 CUFFT Library Programming Guide
     if (dft_size.width > 8192)
-        dft_size.width = getOptimalDFTSize(block_size.width + templ_size.width - 1.);
+        dft_size.width = getOptimalDFTSize(block_size.width + templ_size.width - 1);
     if (dft_size.height > 8192)
-        dft_size.height = getOptimalDFTSize(block_size.height + templ_size.height - 1.);
+        dft_size.height = getOptimalDFTSize(block_size.height + templ_size.height - 1);
 
     // To avoid wasting time doing small DFTs
     dft_size.width = std::max(dft_size.width, 512);

modules/gpu/src/nvidia/NCVBroxOpticalFlow.cu

@@ -692,7 +692,7 @@ namespace
             w.clear();
             h.clear();
 
-            for (int i = img0.size() - 1; i >= 0; --i)
+            for (int i = static_cast<int>(img0.size()) - 1; i >= 0; --i)
             {
                 delete img1[i];
                 delete img0[i];

modules/gpu/src/nvidia/NCVHaarObjectDetection.hpp

@@ -83,7 +83,7 @@ struct HaarFeature64
     __host__ NCVStatus setRect(Ncv32u rectX, Ncv32u rectY, Ncv32u rectWidth, Ncv32u rectHeight, Ncv32u /*clsWidth*/, Ncv32u /*clsHeight*/)
     {
         ncvAssertReturn(rectWidth <= HaarFeature64_CreateCheck_MaxRectField && rectHeight <= HaarFeature64_CreateCheck_MaxRectField, NCV_HAAR_TOO_LARGE_FEATURES);
-        _rect = NcvRect8u(rectX,rectY,rectWidth,rectHeight);
+        _rect = NcvRect8u(static_cast<Ncv8u>(rectX),static_cast<Ncv8u>(rectY),static_cast<Ncv8u>(rectWidth),static_cast<Ncv8u>(rectHeight));
 
         return NCV_SUCCESS;
     }

modules/gpu/src/nvidia/core/NCV.cu

@@ -351,7 +351,7 @@ NCVStatus NCVMemStackAllocator::alloc(NCVMemSegment &seg, size_t size)
     seg.clear();
     ncvAssertReturn(isInitialized(), NCV_ALLOCATOR_BAD_ALLOC);
 
-    size = alignUp(size, this->_alignment);
+    size = alignUp(static_cast<Ncv32u>(size), this->_alignment);
     this->currentSize += size;
     this->_maxSize = std::max(this->_maxSize, this->currentSize);
 
@@ -461,7 +461,7 @@ NCVStatus NCVMemNativeAllocator::alloc(NCVMemSegment &seg, size_t size)
     default:;
     }
 
-    this->currentSize += alignUp(size, this->_alignment);
+    this->currentSize += alignUp(static_cast<Ncv32u>(size), this->_alignment);
     this->_maxSize = std::max(this->_maxSize, this->currentSize);
 
     seg.begin.memtype = this->_memType;
@@ -477,8 +477,8 @@ NCVStatus NCVMemNativeAllocator::dealloc(NCVMemSegment &seg)
     ncvAssertReturn(seg.begin.memtype == this->_memType, NCV_ALLOCATOR_BAD_DEALLOC);
     ncvAssertReturn(seg.begin.ptr != NULL, NCV_ALLOCATOR_BAD_DEALLOC);
 
-    ncvAssertReturn(currentSize >= alignUp(seg.size, this->_alignment), NCV_ALLOCATOR_BAD_DEALLOC);
-    currentSize -= alignUp(seg.size, this->_alignment);
+    ncvAssertReturn(currentSize >= alignUp(static_cast<Ncv32u>(seg.size), this->_alignment), NCV_ALLOCATOR_BAD_DEALLOC);
+    currentSize -= alignUp(static_cast<Ncv32u>(seg.size), this->_alignment);
 
     switch (this->_memType)
     {

modules/gpu/src/nvidia/core/NCVPyramid.cu

@@ -211,7 +211,8 @@ namespace cv { namespace gpu { namespace device
             dim3 bDim(16, 8);
             dim3 gDim(divUp(src.cols, bDim.x), divUp(src.rows, bDim.y));
 
-            kernelDownsampleX2<<<gDim, bDim, 0, stream>>>((T*)src.data, src.step, (T*)dst.data, dst.step, NcvSize32u(dst.cols, dst.rows));
+            kernelDownsampleX2<<<gDim, bDim, 0, stream>>>((T*)src.data, static_cast<Ncv32u>(src.step), 
+                (T*)dst.data, static_cast<Ncv32u>(dst.step), NcvSize32u(dst.cols, dst.rows));
 
             cudaSafeCall( cudaGetLastError() );
 
@@ -285,8 +286,8 @@ namespace cv { namespace gpu { namespace device
             dim3 bDim(16, 8);
             dim3 gDim(divUp(dst.cols, bDim.x), divUp(dst.rows, bDim.y));
 
-            kernelInterpolateFrom1<<<gDim, bDim, 0, stream>>>((T*) src.data, src.step, NcvSize32u(src.cols, src.rows), 
-                (T*) dst.data, dst.step, NcvSize32u(dst.cols, dst.rows));
+            kernelInterpolateFrom1<<<gDim, bDim, 0, stream>>>((T*) src.data, static_cast<Ncv32u>(src.step), NcvSize32u(src.cols, src.rows), 
+                (T*) dst.data, static_cast<Ncv32u>(dst.step), NcvSize32u(dst.cols, dst.rows));
 
             cudaSafeCall( cudaGetLastError() );
 

modules/gpu/src/optical_flow.cpp

@@ -114,16 +114,16 @@ void cv::gpu::BroxOpticalFlow::operator ()(const GpuMat& frame0, const GpuMat& f
     vMemSeg.begin.ptr = v.ptr();
     vMemSeg.size = v.step * v.rows;
 
-    NCVMatrixReuse<Ncv32f> frame0Mat(frame0MemSeg, devProp.textureAlignment, frame0.cols, frame0.rows, frame0.step);
-    NCVMatrixReuse<Ncv32f> frame1Mat(frame1MemSeg, devProp.textureAlignment, frame1.cols, frame1.rows, frame1.step);
-    NCVMatrixReuse<Ncv32f> uMat(uMemSeg, devProp.textureAlignment, u.cols, u.rows, u.step);
-    NCVMatrixReuse<Ncv32f> vMat(vMemSeg, devProp.textureAlignment, v.cols, v.rows, v.step);
+    NCVMatrixReuse<Ncv32f> frame0Mat(frame0MemSeg, static_cast<Ncv32u>(devProp.textureAlignment), frame0.cols, frame0.rows, static_cast<Ncv32u>(frame0.step));
+    NCVMatrixReuse<Ncv32f> frame1Mat(frame1MemSeg, static_cast<Ncv32u>(devProp.textureAlignment), frame1.cols, frame1.rows, static_cast<Ncv32u>(frame1.step));
+    NCVMatrixReuse<Ncv32f> uMat(uMemSeg, static_cast<Ncv32u>(devProp.textureAlignment), u.cols, u.rows, static_cast<Ncv32u>(u.step));
+    NCVMatrixReuse<Ncv32f> vMat(vMemSeg, static_cast<Ncv32u>(devProp.textureAlignment), v.cols, v.rows, static_cast<Ncv32u>(v.step));
 
     cudaStream_t stream = StreamAccessor::getStream(s);
 
     size_t bufSize = getBufSize(desc, frame0Mat, frame1Mat, uMat, vMat, devProp);
 
-    ensureSizeIsEnough(1, bufSize, CV_8UC1, buf);
+    ensureSizeIsEnough(1, static_cast<int>(bufSize), CV_8UC1, buf);
 
     NCVMemStackAllocator gpuAllocator(NCVMemoryTypeDevice, bufSize, static_cast<Ncv32u>(devProp.textureAlignment), buf.ptr());
     

modules/gpu/src/orb.cpp

@@ -406,7 +406,7 @@ cv::gpu::ORB_GPU::ORB_GPU(int nFeatures, float scaleFactor, int nLevels, int edg
     float n_desired_features_per_scale = nFeatures_ * (1.0f - factor) / (1.0f - std::pow(factor, nLevels_));
     
     n_features_per_level_.resize(nLevels_);
-    int sum_n_features = 0;
+    size_t sum_n_features = 0;
     for (int level = 0; level < nLevels_ - 1; ++level)
     {
         n_features_per_level_[level] = cvRound(n_desired_features_per_scale);
@@ -430,7 +430,7 @@ cv::gpu::ORB_GPU::ORB_GPU(int nFeatures, float scaleFactor, int nLevels, int edg
         ++v_0;
     }
     CV_Assert(u_max.size() < 32);
-    cv::gpu::device::orb::loadUMax(&u_max[0], u_max.size());
+    cv::gpu::device::orb::loadUMax(&u_max[0], static_cast<int>(u_max.size()));
     
     // Calc pattern
     const int npoints = 512;
@@ -573,7 +573,7 @@ void cv::gpu::ORB_GPU::computeKeyPointsPyramid()
         GpuMat fastKpRange = keyPointsPyr_[level].rowRange(0, 2);
         keyPointsCount_[level] = fastDetector_.getKeyPoints(fastKpRange);
 
-        int n_features = n_features_per_level_[level];
+        int n_features = static_cast<int>(n_features_per_level_[level]);
         
         if (scoreType_ == ORB::HARRIS_SCORE)
         {

modules/gpu/src/stereocsbp.cpp

@@ -204,7 +204,7 @@ static void csbp_operator(StereoConstantSpaceBP& rthis, GpuMat& mbuf, GpuMat& te
 
 	Size temp_size = data_cost.size();
 	if ((size_t)temp_size.area() < elem_step * rows_pyr[levels - 1] * rthis.ndisp)	
-        temp_size = Size(elem_step, rows_pyr[levels - 1] * rthis.ndisp);
+        temp_size = Size(static_cast<int>(elem_step), rows_pyr[levels - 1] * rthis.ndisp);
 	
     temp.create(temp_size, DataType<T>::type);
 

modules/gpu/src/video_parser.cpp

@@ -70,7 +70,7 @@ bool cv::gpu::detail::VideoParser::parseVideoData(const unsigned char* data, siz
     if (endOfStream)
         packet.flags |= CUVID_PKT_ENDOFSTREAM;
 
-    packet.payload_size = size;
+    packet.payload_size = static_cast<unsigned long>(size);
     packet.payload = data;
 
     if (cuvidParseVideoData(parser_, &packet) != CUDA_SUCCESS)

modules/gpu/src/video_writer.cpp

@@ -57,6 +57,7 @@ void cv::gpu::VideoWriter_GPU::open(const cv::Ptr<EncoderCallBack>&, cv::Size, d
 bool cv::gpu::VideoWriter_GPU::isOpened() const { return false; }
 void cv::gpu::VideoWriter_GPU::close() {}
 void cv::gpu::VideoWriter_GPU::write(const cv::gpu::GpuMat&, bool) { throw_nogpu(); }
+cv::gpu::VideoWriter_GPU::EncoderParams cv::gpu::VideoWriter_GPU::getParams() const { EncoderParams params; throw_nogpu(); return params; }
 
 cv::gpu::VideoWriter_GPU::EncoderParams::EncoderParams() { throw_nogpu(); }
 cv::gpu::VideoWriter_GPU::EncoderParams::EncoderParams(const std::string&) { throw_nogpu(); }
@@ -129,6 +130,8 @@ public:
 
     void write(const cv::gpu::GpuMat& image, bool lastFrame);
 
+    EncoderParams getParams() const;
+
 private:
     Impl(const Impl&);
     Impl& operator=(const Impl&);
@@ -224,8 +227,7 @@ void cv::gpu::VideoWriter_GPU::Impl::initEncoder(double fps)
     err = NVSetParamValue(encoder_, NVVE_OUT_SIZE, &inputSize);
     CV_Assert( err == 0 );
 
-    //int aspectRatio[] = { frameSize_.width, frameSize_.height, ASPECT_RATIO_DAR };
-    int aspectRatio[] = { 16, 9, ASPECT_RATIO_DAR };
+    int aspectRatio[] = { frameSize_.width, frameSize_.height, ASPECT_RATIO_DAR };
     err = NVSetParamValue(encoder_, NVVE_ASPECT_RATIO, &aspectRatio);
     CV_Assert( err == 0 );
 
@@ -333,6 +335,107 @@ void cv::gpu::VideoWriter_GPU::Impl::setEncodeParams(const EncoderParams& params
     CV_Assert ( err == 0 );
 }
 
+cv::gpu::VideoWriter_GPU::EncoderParams cv::gpu::VideoWriter_GPU::Impl::getParams() const
+{
+    int err;
+
+    EncoderParams params;
+
+    int P_Interval;
+    err = NVGetParamValue(encoder_, NVVE_P_INTERVAL, &P_Interval);
+    CV_Assert( err == 0 );
+    params.P_Interval = P_Interval;
+
+    int IDR_Period;
+    err = NVGetParamValue(encoder_, NVVE_IDR_PERIOD, &IDR_Period);
+    CV_Assert( err == 0 );
+    params.IDR_Period = IDR_Period;
+
+    int DynamicGOP;
+    err = NVGetParamValue(encoder_, NVVE_DYNAMIC_GOP, &DynamicGOP);
+    CV_Assert( err == 0 );
+    params.DynamicGOP = DynamicGOP;
+
+    NVVE_RateCtrlType RCType;
+    err = NVGetParamValue(encoder_, NVVE_RC_TYPE, &RCType);
+    CV_Assert( err == 0 );
+    params.RCType = RCType;
+
+    int AvgBitrate;
+    err = NVGetParamValue(encoder_, NVVE_AVG_BITRATE, &AvgBitrate);
+    CV_Assert( err == 0 );
+    params.AvgBitrate = AvgBitrate;
+
+    int PeakBitrate;
+    err = NVGetParamValue(encoder_, NVVE_PEAK_BITRATE, &PeakBitrate);
+    CV_Assert( err == 0 );
+    params.PeakBitrate = PeakBitrate;
+
+    int QP_Level_Intra;
+    err = NVGetParamValue(encoder_, NVVE_QP_LEVEL_INTRA, &QP_Level_Intra);
+    CV_Assert( err == 0 );
+    params.QP_Level_Intra = QP_Level_Intra;
+
+    int QP_Level_InterP;
+    err = NVGetParamValue(encoder_, NVVE_QP_LEVEL_INTER_P, &QP_Level_InterP);
+    CV_Assert( err == 0 );
+    params.QP_Level_InterP = QP_Level_InterP;
+
+    int QP_Level_InterB;
+    err = NVGetParamValue(encoder_, NVVE_QP_LEVEL_INTER_B, &QP_Level_InterB);
+    CV_Assert( err == 0 );
+    params.QP_Level_InterB = QP_Level_InterB;
+
+    int DeblockMode;
+    err = NVGetParamValue(encoder_, NVVE_DEBLOCK_MODE, &DeblockMode);
+    CV_Assert( err == 0 );
+    params.DeblockMode = DeblockMode;
+
+    int ProfileLevel;
+    err = NVGetParamValue(encoder_, NVVE_PROFILE_LEVEL, &ProfileLevel);
+    CV_Assert( err == 0 );
+    params.ProfileLevel = ProfileLevel;
+
+    int ForceIntra;
+    err = NVGetParamValue(encoder_, NVVE_FORCE_INTRA, &ForceIntra);
+    CV_Assert( err == 0 );
+    params.ForceIntra = ForceIntra;
+
+    int ForceIDR;
+    err = NVGetParamValue(encoder_, NVVE_FORCE_IDR, &ForceIDR);
+    CV_Assert( err == 0 );
+    params.ForceIDR = ForceIDR;
+
+    int ClearStat;
+    err = NVGetParamValue(encoder_, NVVE_CLEAR_STAT, &ClearStat);
+    CV_Assert( err == 0 );
+    params.ClearStat = ClearStat;
+
+    NVVE_DI_MODE DIMode;
+    err = NVGetParamValue(encoder_, NVVE_SET_DEINTERLACE, &DIMode);
+    CV_Assert( err == 0 );
+    params.DIMode = DIMode;
+
+    params.Presets = -1;
+
+    int DisableCabac;
+    err = NVGetParamValue(encoder_, NVVE_DISABLE_CABAC, &DisableCabac);
+    CV_Assert ( err == 0 );
+    params.DisableCabac = DisableCabac;
+
+    int NaluFramingType;
+    err = NVGetParamValue(encoder_, NVVE_CONFIGURE_NALU_FRAMING_TYPE, &NaluFramingType);
+    CV_Assert ( err == 0 );
+    params.NaluFramingType = NaluFramingType;
+
+    int DisableSPSPPS;
+    err = NVGetParamValue(encoder_, NVVE_DISABLE_SPS_PPS, &DisableSPSPPS);
+    CV_Assert ( err == 0 );
+    params.DisableSPSPPS = DisableSPSPPS;
+
+    return params;
+}
+
 void cv::gpu::VideoWriter_GPU::Impl::initGpuMemory()
 {
     int err;
@@ -807,6 +910,13 @@ void cv::gpu::VideoWriter_GPU::write(const cv::gpu::GpuMat& image, bool lastFram
     impl_->write(image, lastFrame);
 }
 
+cv::gpu::VideoWriter_GPU::EncoderParams cv::gpu::VideoWriter_GPU::getParams() const 
+{
+    CV_Assert( isOpened() );
+
+    return impl_->getParams();
+}
+
 ///////////////////////////////////////////////////////////////////////////
 // VideoWriter_GPU::EncoderParams
 

modules/gpu/test/test_features2d.cpp

@@ -617,12 +617,18 @@ TEST_P(BruteForceMatcher, MatchAdd)
 
         if ((int)i < queryDescCount / 2)
         {
-            if ((match.queryIdx != (int)i) || (match.trainIdx != (int)i * countFactor + shift) || (match.imgIdx != 0))
+            bool validQueryIdx = (match.queryIdx == (int)i);
+            bool validTrainIdx = (match.trainIdx == (int)i * countFactor + shift);
+            bool validImgIdx = (match.imgIdx == 0);
+            if (!validQueryIdx || !validTrainIdx || !validImgIdx)
                 badCount++;
         }
         else
         {
-            if ((match.queryIdx != (int)i) || (match.trainIdx != ((int)i - queryDescCount / 2) * countFactor + shift) || (match.imgIdx != 1))
+            bool validQueryIdx = (match.queryIdx == (int)i);
+            bool validTrainIdx = (match.trainIdx == ((int)i - queryDescCount / 2) * countFactor + shift);
+            bool validImgIdx = (match.imgIdx == 1);
+            if (!validQueryIdx || !validTrainIdx || !validImgIdx)
                 badCount++;
         }
     }

samples/gpu/opticalflow_nvidia_api.cpp

@@ -407,10 +407,10 @@ int main(int argc, char **argv)
     std::cout << "Using GPU: " << devId << "(" << devProp.name <<
         "), arch=" << devProp.major << "." << devProp.minor << std::endl;
 
-    g_pGPUMemAllocator  = Ptr<INCVMemAllocator> (new NCVMemNativeAllocator (NCVMemoryTypeDevice, devProp.textureAlignment));
+    g_pGPUMemAllocator  = Ptr<INCVMemAllocator> (new NCVMemNativeAllocator (NCVMemoryTypeDevice, static_cast<Ncv32u>(devProp.textureAlignment)));
     ncvAssertPrintReturn (g_pGPUMemAllocator->isInitialized (), "Device memory allocator isn't initialized", -1);
 
-    g_pHostMemAllocator = Ptr<INCVMemAllocator> (new NCVMemNativeAllocator (NCVMemoryTypeHostPageable, devProp.textureAlignment));
+    g_pHostMemAllocator = Ptr<INCVMemAllocator> (new NCVMemNativeAllocator (NCVMemoryTypeHostPageable, static_cast<Ncv32u>(devProp.textureAlignment)));
     ncvAssertPrintReturn (g_pHostMemAllocator->isInitialized (), "Host memory allocator isn't initialized", -1);
 
     int width, height;