File block.hpp: Use Device layer instead.
File border_interpolate.hpp: Use Device layer instead.
File color.hpp: Use Device layer instead.
File common.hpp: Use Device layer instead.
File cuda_types.hpp: Use Device layer instead.
Member cv::dnn::Layer::finalize (const std::vector< Mat > &inputs): Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead
Member cv::dnn::Layer::finalize (const std::vector< Mat > &inputs, std::vector< Mat > &outputs): Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead
Member cv::dnn::Layer::finalize (const std::vector< Mat *> &input, std::vector< Mat > &output): Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead
Member cv::dnn::Layer::forward (std::vector< Mat *> &input, std::vector< Mat > &output, std::vector< Mat > &internals): Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead
Member cv::dnn::Layer::run (const std::vector< Mat > &inputs, std::vector< Mat > &outputs, std::vector< Mat > &internals): This method will be removed in the future release.
Member cv::dnn::LSTMLayer::setProduceCellOutput (bool produce=false)=0: Use flag use_timestamp_dim in LayerParams.
Member cv::dnn::LSTMLayer::setUseTimstampsDim (bool use=true)=0: Use flag produce_cell_output in LayerParams.
Member cv::dnn::LSTMLayer::setWeights (const Mat &Wh, const Mat &Wx, const Mat &b)=0: Use LayerParams::blobs instead.
Member cv::error (const Exception &exc): drop this version
Member cv::estimateRigidTransform (InputArray src, InputArray dst, bool fullAffine): Use cv::estimateAffine2D, cv::estimateAffinePartial2D instead. If you are using this fuction with images, extract points using cv::calcOpticalFlowPyrLK and then use the estimation fuctions.
Member cv::flann::hierarchicalClustering (const Mat &features, Mat &centers, const cvflann::KMeansIndexParams &params)
Class cv::flann::Index_< T >: Use GenericIndex class instead
Member cv::getThreadNum (): Current implementation doesn't corresponding to this documentation.
Member cv::linearPolar (InputArray src, OutputArray dst, Point2f center, double maxRadius, int flags): This function produces same result as cv::warpPolar(src, dst, src.size(), center, maxRadius, flags)
Member cv::logPolar (InputArray src, OutputArray dst, Point2f center, double M, int flags): This function produces same result as cv::warpPolar(src, dst, src.size(), center, maxRadius, flags+WARP_POLAR_LOG);
Member cv::text::loadOCRHMMClassifierCNN (const String &filename): use loadOCRHMMClassifier instead
Member cv::text::loadOCRHMMClassifierNM (const String &filename): loadOCRHMMClassifier instead
Member cvCaptureFromAVI: use cvCreateFileCapture() instead
Member cvCaptureFromCAM: use cvCreateCameraCapture() instead
Member cvCaptureFromFile: use cvCreateFileCapture() instead
Member cvCreateAVIWriter: use cvCreateVideoWriter() instead
Member cvflann::Index< Distance >::getIndexParameters (): use getParameters() instead.
Class CvMat: CvMat is now obsolete; consider using Mat instead.
Class CvMatND: consider using cv::Mat instead
Member cvWriteToAVI: use cvWriteFrame() instead
File datamov_utils.hpp: Use Device layer instead.
File dynamic_smem.hpp: Use Device layer instead.
File emulation.hpp: Use Device layer instead.
File filters.hpp: Use Device layer instead.
File funcattrib.hpp: Use Device layer instead.
File functional.hpp: Use Device layer instead.
File limits.hpp: Use Device layer instead.
File reduce.hpp: Use Device layer instead.
File saturate_cast.hpp: Use Device layer instead.
File scan.hpp: Use Device layer instead.
File simd_functions.hpp: Use Device layer instead.
File transform.hpp: Use Device layer instead.
File type_traits.hpp: Use Device layer instead.
File utility.hpp: Use Device layer instead.
File vec_distance.hpp: Use Device layer instead.
File vec_math.hpp: Use Device layer instead.
File vec_traits.hpp: Use Device layer instead.
File warp.hpp: Use Device layer instead.
File warp_reduce.hpp: Use Device layer instead.
File warp_shuffle.hpp: Use Device layer instead.