This ocl kernel is 46%~171% faster than current laplacian 3x3
ocl kernel in the perf test, with image format "CV_8UC1".
Signed-off-by: Li Peng <peng.li@intel.com>
OpenVX C++ wrappers docs (#7681)
* adding wrapper headers to the project to see them in IDE project explorer
* readme
* doxygen: toplevel brief-s
* more doxygen
* more doxygen
Change contour test images to be very wide (#7464)
* Change contour test images to be very wide (#7409, #7458)
Unfortunately, slows down the tests.
* Decrease the number of contour test cases, in order to (at least partially) offset the test run duration increase caused by making the test images wider
* Don't test with very wide images on 32-bit architectures
C++ wrappers over OpenVX 1.x API (#7550)
* initial commit
* fixing missing swap(refcount) bug
* removing dead code
* fixinf identation
* splitting c++98 and external refcount definitions
* fixing formatToMatType
* using vector instead of initializer_list for consistency with c++98 API
* IVX_HIDE_INFO_WARNINGS
* just in case a compiler doesn't do this
* removing copy functionality from ImagePatch, Image can be used for that
* stricter type checks
Maximum depth limit var was added to the instrumentation structure;
Trace names output console output fix: improper tree formatting could happen;
Output in case of error was added;
Custom regions improvements;
Improved timing and weight calculation for parallel regions; New TC (threads counter) value to indicate how many different threads accessed particular node;
parallel_for, warnings fixes and ReturnAddress code from Alexander Alekhin;
This ocl kernel is for 3x3 kernel size and CV_8UC1 format
It is 115% ~ 300% faster than current ocl path in perf test
python ./modules/ts/misc/run.py -t imgproc --gtest_filter=OCL_GaussianBlurFixture*
Signed-off-by: Li Peng <peng.li@intel.com>