* 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)
* Add test that fails
* Fix integer pointPolygonTest for large coordinate values
* Review fixes:
- change type from long long to int64
- move test code to test_contours.cpp, and make it C++98 compliant
* Hopefully fix compiler error by using push_back instead of emplace_back
* fixed OpenCL functions on Mac, so that the tests pass
* fixed compile warnings; temporarily disabled OCL branch of TV L1 optical flow on mac
* fixed other few warnings on macos
If there are no OpenCL/UMat methods calls from application.
OpenCL subsystem is initialized:
- haveOpenCL() is called from application
- useOpenCL() is called from application
- access to OpenCL allocator: UMat is created (empty UMat is ignored) or UMat <-> Mat conversions are called
Don't call OpenCL functions if OPENCV_OPENCL_RUNTIME=disabled
(independent from OpenCL linkage type)
