next: drop HAVE_TEGRA_OPTIMIZATION/TADP

modules/stitching/src/blenders.cpp

@@ -625,12 +625,6 @@ void normalizeUsingWeightMap(InputArray _weight, InputOutputArray _src)
 {
     Mat src;
     Mat weight;
-#ifdef HAVE_TEGRA_OPTIMIZATION
-    src = _src.getMat();
-    weight = _weight.getMat();
-    if(tegra::useTegra() && tegra::normalizeUsingWeightMap(weight, src))
-        return;
-#endif
 
 #ifdef HAVE_OPENCL
     if ( !cv::ocl::isOpenCLActivated() ||
@@ -697,12 +691,6 @@ void createWeightMap(InputArray mask, float sharpness, InputOutputArray weight)
 
 void createLaplacePyr(InputArray img, int num_levels, std::vector<UMat> &pyr)
 {
-#ifdef HAVE_TEGRA_OPTIMIZATION
-    cv::Mat imgMat = img.getMat();
-    if(tegra::useTegra() && tegra::createLaplacePyr(imgMat, num_levels, pyr))
-        return;
-#endif
-
     pyr.resize(num_levels + 1);
 
     if(img.depth() == CV_8U)

modules/stitching/src/matchers.cpp

@@ -187,11 +187,6 @@ void CpuMatcher::match(const ImageFeatures &features1, const ImageFeatures &feat
     CV_Assert(features1.descriptors.type() == features2.descriptors.type());
     CV_Assert(features2.descriptors.depth() == CV_8U || features2.descriptors.depth() == CV_32F);
 
-#ifdef HAVE_TEGRA_OPTIMIZATION
-    if (tegra::useTegra() && tegra::match2nearest(features1, features2, matches_info, match_conf_))
-        return;
-#endif
-
     matches_info.matches.clear();
 
     Ptr<cv::DescriptorMatcher> matcher;

modules/stitching/src/precomp.hpp

@@ -95,10 +95,6 @@
 
 #include "opencv2/core/private.hpp"
 
-#ifdef HAVE_TEGRA_OPTIMIZATION
-# include "opencv2/stitching/stitching_tegra.hpp"
-#endif
-
 #include "util_log.hpp"
 
 #endif