* use universal intrinsic instead of raw intrinsic
* add 2 channels de-interleave on x86 platform
* add v_int32x4 version of v_muladd
* add accumulate version of v_dotprod based on the commit from seiko2plus on bf1852d
* remove some verify check in performance test
* avoid the out of boundary access and keep the performance
* Added custom implementation for NxN bit-exact GaussianBlur
* Reworked fixedpoint interface a bit
* Reworked horizontal line estimation for bit-exact GaussianBlur
* Reworked vertical line estimation for bit-exact GaussianBlur
* Updated range estimation for vectorized part of bit-exact GaussianBlur evaluation
* Fix#9363
* Renamed the structure and added a new function to the LineSegmentDetectorImpl class as a static member
* Added a new function to the LineSegmentDetectorImpl class as a static member
color.cpp split (#10869)
* initial split is done
* files renamed (these names are excluded during compilation)
* IPP code moved to corresponding files
* splineBuild, splineInterpolate -> color_lab.cpp
* Lab, Luv: little refactored
* it compiles (didn't check work); Lab OCL code moved to color_lab.cpp
* cvtcolor.cl: Lab/Luv part moved to color_lab.cl
* cvtcolor.cl: color_rgb.cl extracted
* cvtcolor.cl: color_yuv.cl separated
* cvtcolor.cl: color_hsv.cl extracted
* cvtcolor.cl: extracted to color_lab.cl and color_rgb.cl
* helper functions moved to hpp file
* Lab, Luv: moved to color_lab.cpp
* CPU XYZ: to color_lab.cpp
* OCL XYZ: to color_lab.cpp
* warning fixed
* CvtHelper added
* CPU YUV: to color_yuv.cpp, helpers to color.hpp
* CPU HLS/HSV: to color_hsv.cpp
* CPU BGR2BGR: to color_rgb.cpp
* CPU RGB: to color_rgb.cpp
* extra arg removed
* CPU YUV: to color_yuv.cpp
* color code decoded
* OclHelper added, some funcs rewritten
* color_lab.cpp: refactored to use OclHelper
* OCL RGB: to color_rgb.cpp
* OCL HLS/HSV: to color_hsv.cpp
* OCL YUV: to color_yuv.cpp
* OCL YUV planes: to color_yuv.cpp
* OCL: color code reduced
* licence to demosaicing.cpp
* IPP func tables to color_rgb.cpp
* code cleanup
* HAVE_OPENCL ifdefs added
* helpers made more common
* fixed two plane YUV with separate mats
* fixed warning in gcc7.2.0
* precomp header fixed
* color space classification functions fixed
* helpers fixed
* rename: isSRGB -> is_sRGB
* loosen some test threshold mainly for integer types
* use relative error for floating points result
* avoid division by zero by following the comment
* fix the indentation
* Add a new interface for hough transform
* Fixed warning code
* Fix HoughLinesUsingSetOfPoints based on HoughLinesStandard
* Delete memset
* Rename HoughLinesUsingSetOfPoints and add common function
* Fix test error
* Change static function name
* Change using CV_Assert instead of if-block and add integer test case
* I solve the conflict and delete 'std :: tr1' and changed it to use 'tuple'
* I deleted std::tr1::get and changed int to use 'get'
* Fixed sample code
* revert test_main.cpp
* Delete sample code in comment and add snippets
* Change file name
* Delete static function
* Fixed build error
- removed tr1 usage (dropped in C++17)
- moved includes of vector/map/iostream/limits into ts.hpp
- require opencv_test + anonymous namespace (added compile check)
- fixed norm() usage (must be from cvtest::norm for checks) and other conflict functions
- added missing license headers
* Fixing a bug in Canny implemetation when Sobel aperture size is 7.
* Fixing the bug in Canny accross variants and in test_canny.cpp
* Replacing a tab with white space
* Bit-exact implementation of GaussianBlur smoothing
* Added universal intrinsics based implementation for bit-exact CV_8U GaussianBlur smoothing.
* Added parallel_for to evaluation of bit-exact GaussianBlur
* Added custom implementations for 3x3 and 5x5 bit-exact GaussianBlur
Hough many circles (#10232)
* Add Hui's optimization. Merge with latest changes in OpenCV.
* Use conditional compilation instead of a runtime flag.
* Whitespace.
* Create the sequence for the nonzero edge pixels only if using that approach.
* Improve performance for finding very large numbers of circles
* Return the circles with the larger accumulator values first, as per API documentation.
Use a separate step to check distance between circles. Allows circles to be sorted by strength first. Avoids locking in EstimateRadius which was slowing it down.
Return centers only if maxRadius == 0 as per API documentation.
* Sort the circles so results are deterministic. Otherwise the order of circles with the same strength depends on parallel processing completion order.
* Add test for HoughCircles.
* Add beads test.
* Wrap the non-zero points structure in a common interface so the code can use either a vector or a matrix.
* Remove the special case for skipping the radius search if maxRadius==0.
* Add performance tests.
* Use NULL instead of nullptr.
OpenCV should compile with C++98 compiler.
* Put test suite name first.
Use different test suite names for each test to avoid an error from the test runner.
* Address build bot errors and warnings.
* Skip radius search if maxRadius < 0.
* Dynamically switch to NZPointList when it will be faster than NZPointSet.
* Fix compile error: missing 'typename' prior to dependent type name.
* Fix compile error: missing 'typename' prior to dependent type name.
This time fix it the non C++ 11 way.
* Fix compile error: no type named 'const_reference' in 'class cv::NZPointList'
* Disable ManySmallCircles tests. Failing on Mac.
* Change beads image to JPEG for smaller file size.
Try enabling the ManySmallCircles tests again.
* Remove ManySmallCircles tests. They are failing on the Mac build.
* Fix expectations to check all circles.
* Changing case on a case-insensitive file system
Step 1: remove the old file names
* Changing case on a case-insensitive file system
Step 2: add them back with the new names
* Fix cmpAccum function to be strictly weak ordered.
* Add tests for many small circles.
* imgproc(perf): fix HoughCircles tests
* imgproc(houghCircles): refactor code
- simplify NZPointList
- drop broken (de-synchronization of 'current'/'mi' fields) NZPointSet iterator
- NZPointSet iterator is replaced to direct area scan
- use SIMD intrinsics
- avoid std exceptions (build for embedded systems)
k-shinotsuka
Alexander Alekhin
Tomoaki Teshima
Suleyman TURKMEN
Vitaly Tuzov
shimat
Alexander Alekhin
Maksim Shabunin
Vitaly Tuzov
yuki takehara
Rostislav Vasilikhin
Florian Echtler
luz.paz
Harshal Nishar
sergeybe
Aditya Rohan
LaurentBerger
Woody Chow
woody.chow
Philipp Hasper
victor-ludorum
Tom Becker