- 02 9月, 2016 5 次提交
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由 Alexander Alekhin 提交于
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由 Alexander Alekhin 提交于
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由 Maksim Shabunin 提交于
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由 Maksim Shabunin 提交于
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由 Matthew Cook 提交于
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- 01 9月, 2016 2 次提交
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由 Alexander Alekhin 提交于
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由 Alexander Alekhin 提交于
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- 31 8月, 2016 3 次提交
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由 Maksim Shabunin 提交于
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由 Alexander Alekhin 提交于
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由 sourin 提交于
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- 30 8月, 2016 1 次提交
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由 Tomoaki Teshima 提交于
* use universal intrinsic for accumulate series using float/double * accumulate, accumulateSquare, accumulateProduct and accumulateWeighted * add v_cvt_f64_high in both SSE/NEON * add test for conversion v_cvt_f64_high in test_intrin.cpp * improve some existing universal intrinsic by using new instructions in Aarch64 * add workaround for Android build in intrin_neon.hpp
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- 29 8月, 2016 4 次提交
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由 Alexander Alekhin 提交于
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由 Alexander Alekhin 提交于
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由 Maksim Shabunin 提交于
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由 Maksim Shabunin 提交于
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- 27 8月, 2016 2 次提交
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由 Matthew Self 提交于
* Use `nth_element()` to find the median instead of `sort()` in `LMeDSPointSetRegistrator::run()` * Improves performance of this part of LMedS from `n log(n)` to `n` by avoiding doing a full sort. * Makes LMedS 2x faster for 100 points, 4x faster for 5,000 points in `EstimateAffine2D()`. * LMedS is now never more than 2x slower than RANSAC and is faster in some cases.
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由 Matthew Self 提交于
* Added 2-channel ops to match existing 3-channel and 4-channel ops * v_load_deinterleave() and v_store_interleave() * Implements float32x4 only on SSE (but all types on NEON and CPP) * Includes tests * Will be used to vectorize 2D functions, such as estimateAffine2D()
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- 26 8月, 2016 11 次提交
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由 Asal Mirzaieva 提交于
- also some minor changes to the respective sample cpp file
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由 mrquorr 提交于
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由 Vadim Pisarevsky 提交于
* expose 2 extra methods from ml::TrainData: getNames() and getVarSymbolFlags(). The first one returns text labels from CSV (if the data has been loaded from CSV); the second one returns a matrix of boolean values; its n-th element is 1 iff the corresponding column in the CSV uses symbolic names, not numbers. * check that the dynamic_cast succeeds
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由 Vadim Pisarevsky 提交于
* Add Grana's connected components algorithm for 8-way connectivity. That algorithm is faster than Wu's one (currently implemented in opencv). For more details see https://github.com/prittt/YACCLAB. * New functions signature and distance transform compatibility * Add tests to imgproc/test/test_connectedcomponents.cpp * Change of test_connectedcomponents.cpp for c++98 support
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由 Vadim Pisarevsky 提交于
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由 Vadim Pisarevsky 提交于
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由 Vadim Pisarevsky 提交于
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由 Vadim Pisarevsky 提交于
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由 Vadim Pisarevsky 提交于
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由 Alexander Alekhin 提交于
Also put "object" targets to off by default (they doesn't work well)
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由 Valeriy Van 提交于
strong and retain are synonymous but using strong along with obsolete synonym retain in one file is negligent
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- 25 8月, 2016 8 次提交
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由 Alexander Alekhin 提交于
Returning to Win2k value is possible via this CMake option: cmake -DOPENCV_EXTRA_FLAGS="/D_WIN32_WINNT=0x0500" ...
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由 Maksim Shabunin 提交于
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由 Alexander Alekhin 提交于
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由 Alexander Alekhin 提交于
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由 Alexander Alekhin 提交于
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由 kurenai 提交于
Enable SSE optimization
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由 Tomoaki Teshima 提交于
* DRY * switch to Cv32suf and remove fp32Int32 * add Cv16suf
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由 Vadim Pisarevsky 提交于
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- 24 8月, 2016 4 次提交
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由 MYLS 提交于
- one test for type_id; - another for comments in JSON;
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由 Vadim Pisarevsky 提交于
Fixes spelling in comment
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由 Suleyman TURKMEN 提交于
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由 Valeriy Van 提交于
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