jetson设备上如何加速opencv？

CUDA
Fast Math (cuBLAS)
OpenGL
GStreamer 1.0
Video 4 Linux (V4L)
Python 2.7 and Python 3.5 support
TBB (Threading Build Blocks)

详情可以参考：
https://github.com/jetsonhacks/buildOpenCVXavier/blob/master/buildOpenCV.sh

OpenCV官方推荐的4Tegra的编译选项：
$ cmake
-DCMAKE_BUILD_TYPE=Release
-DCMAKE_INSTALL_PREFIX=/usr
-DBUILD_PNG=OFF
-DBUILD_TIFF=OFF
-DBUILD_TBB=OFF
-DBUILD_JPEG=OFF
-DBUILD_JASPER=OFF
-DBUILD_ZLIB=OFF
-DBUILD_EXAMPLES=ON
-DBUILD_opencv_java=OFF
-DBUILD_opencv_python2=ON
-DBUILD_opencv_python3=OFF
-DENABLE_NEON=ON
-DWITH_OPENCL=OFF
-DWITH_OPENMP=OFF
-DWITH_FFMPEG=ON
-DWITH_GSTREAMER=OFF
-DWITH_GSTREAMER_0_10=OFF
-DWITH_CUDA=ON
-DWITH_GTK=ON
-DWITH_VTK=OFF
-DWITH_TBB=ON
-DWITH_1394=OFF
-DWITH_OPENEXR=OFF
-DCUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda-8.0
-DCUDA_ARCH_BIN=6.2
-DCUDA_ARCH_PTX=""
-DINSTALL_C_EXAMPLES=ON
-DINSTALL_TESTS=OFF
-DOPENCV_TEST_DATA_PATH=../opencv_extra/testdata
../opencv

https://docs.opencv.org/master/d6/d15/tutorial_building_tegra_cuda.html