In cases where the signaure string contains a terminating character,
the std::string member function size returns a smaller value than the
allocated string. In these cases, if you then try to use substr,
you will get an out_of_range exception. This patch remedies the problem.
This patch implements the PAM image format as defined at:
http://netpbm.sourceforge.net/doc/pam.html
The PAM format provides a generic means for storing 2 dimensional information.
This is useful for opencv since there are cases where data gets translated into
non standardized formats, which makes it difficult to store and load this information.
* Improve Canny by using _mm_movemask_epi8 to find next pixel magnitude greater than lower threshold. Added parallelized finalPass to Canny with variable gradients. Little changes in finalPass.
* Some things fixed
* 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
* 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.
* 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()
* 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
* 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
UIImages with alpha were ending up with garbage pixels in background (random memory values). Need to initialize matrix pixels before drawing UIImage with alpha on it.
Note: didn’t fix Grayscale image with alpha stripping alpha in UIImage -> Mat conversion.
1. if a component's variation is a global minimum than it should be a local minimum
2. for the small image with invert and blur, the MSERs number should be 20
Dimitrios Katsaros
mschoeneck
Sergey Alexandrov
Pavel Rojtberg
Vitaly Tuzov
Maksim Shabunin
Tomoaki Teshima
Matthew Self
mrquorr
Vadim Pisarevsky
Alexander Alekhin
Valeriy Van
Tomoaki Teshima
MYLS
Suleyman TURKMEN
Valeriy Van
mpkh
Pavel Vlasov
sourin
Alexandr Kondratev
Morrison
PkLab.net
Vitaliy Lyudvichenko
Patrick Spettel
k-shinotsuka
will hunt
Ilya Lavrenov
Vladislav Sovrasov
LaurentBerger
daB0bby