Deprecated List

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 core.hpp

Use <opencv2/gapi/ocl/core.hpp> instead.

File cuda_types.hpp

Use Device layer instead.

Member cv::aruco::drawAxis (InputOutputArray image, InputArray cameraMatrix, InputArray distCoeffs, InputArray rvec, InputArray tvec, float length)

use cv::drawFrameAxes

Member cv::createStitcher (bool try_use_gpu=false)

use Stitcher::create

Member cv::createStitcherScans (bool try_use_gpu=false)

use Stitcher::create

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 *> &input, std::vector< Mat > &output)

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::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 function with images, extract points using cv::calcOpticalFlowPyrLK and then use the estimation functions.

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 cv::v_signmask (const v_reg< _Tp, n > &a)

v_signmask depends on a lane count heavily and therefore isn't universal enough

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 ggpukernel.hpp

Use <opencv2/gapi/ocl/goclkernel.hpp> instead.

File imgproc.hpp

Use <opencv2/gapi/ocl/imgproc.hpp> 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.