* __shfl_up_sync with proper mask value for CUDA >= 9
* BlockScanInclusive for CUDA >= 9
* compatible_shfl_up for use in integral.hpp
* Use CLAHE in cudev
* Add tests for BlockScan
original commit: 970293a229
- Before this PR, following tests failed on some platform.
CUDA_OptFlow/FarnebackOpticalFlow.Accuracy/19
CUDA_OptFlow/FarnebackOpticalFlow.Accuracy/23
- The algorithm now recognizes the OPTFLOW_USE_INITIAL_FLOW flag.
Previously, when the flag was set, it did not use the flow data
passed as input, instead used some garbage data in memory.
- More strict test limit.
original commit: 4366c8734f
Add robust local optical flow (RLOF) implementations (#1940)
* Add robust local optical flow (RLOF) implementations which is an improved pyramidal iterative Lucas-Kanade approach. This implementations contains interfaces for sparse optical flow for feature tracking and dense optical flow based on sparse-to-dense interpolation schemes.
Add performance and accuracy tests have been implementation as well as documentation with the related publications
* - exchange tabs with spaces
- fix optflow.bib indentation
- remove optflow_o.hpp
- change RLOFOpticalFlowParameter interfaces to Ptr<RLOFOpticalFlowParameter>
to remove error on building. Fix warnings
* introducing precompiler flag RLOD_SSE
* remove header that could not be found
* remove whitespaces
fix perf and accuracy tests
* remove x86intrin.h header
* fix ios and arm by removing last sse commands
* fix warnings for windows compilation
* fix documentation RLOFOpticalFlowParameter
* integrate cast to remove last warnings
* * add create method and function inferfaces to RLOFOpticalFlowParamter to enable python wrapper interfaces
* white space fixes / coding style
* fix perf test
* other changes: precomp.hpp / static
* use Matx44f and Vec4f instead of Mat
* normSigmas into constants
* replace ceil() calls
* maximum level is set to 5 so that it is similar value used in the papers
* implement paralellized horizontal cross segmentation as used in Geistert2016
* drop dead code
* Avoid using "data" and "step" calculations. Use .ptr<mat_type>(row, col) instead.
* Avoid using "data" and "step" calculations. Use .ptr<mat_type>(row, col) instead.
* bugfix on BEPLK with ica and adapt the accuracy tests
* more 'static' functions
* bugfix after changing ptr + step to .ptr(y,x) calls by adjusting ROI of
prevImage, currImage and derivI as well as changing the offset of the
points in the invoker classes.
* add some static_cast to avoid warning
* remove 50 grid size sample from perf test. This grid size is to sparse
for the epic interpolation
* remove notSameColor function since it is not used anymore
Implementation of Quasi Dense Stereo algorithm. (#1941)
* initial commit.
* Remove license header.
* Fix python wrap flags
* Change std::string to cv::String, in function declarations, to resolve compilation issues.
* Add python wrapper extending header
* Fix python wrapper conflicts
* Fix implicit type conversions
* Change C API types and enums to C++.
* Remove redundant included headers and move wanted headers to src/precomp.hpp
* Remove saturate header
* Remove unnecessary python wrapping flags
* Removed defaults parameter header
* Split declaration and implementation of the class using Pimpl.
* Fix to comply with new public API.
* Remove unnecessary modules
* Fix maybe-uninitialized warnings on linux
* Migration to stereo module
* Remove CV_PROP_RW flag.
* Remove CV_EXPORTS flags from class members.
* Fix: Removed misplaced flag
* Remove empty lines.
* Move queue to private headers.
* Fix default arguments of public methods.
* Add authors information and switch to the compact version of license header.
* Reorganize and fix markdown files. Create a table of content and move tutorials in new directories. Modify samples and tutorials to use snippet and include Doxygen commands.
* Change argument name dMatch->denseMatch, to avoid confusion with cv::DMatch build-in type.
* Remove duplicate snippet.
* Fix: change vector resize to reserve.
* Fix: replace extensive license header with the compact version.
I think that that there was a typo in the variable names. fill2, texture2, and size2 were never used.
Also, minor fix to reduce initialization costs of vector
Alexander Alekhin
Alexander Alekhin
Pavel Rojtberg
Maksim Shabunin
berak
Namgoo Lee
Charles Taylor
Raphael Graf
Dmitry Kurtaev
tsenst
Dimitrios Psychogyios
LinkeyLeo
Suleyman TURKMEN
indianocean10000
YTY
Yuriy Obukh
vishwesh5