RGB2Lab_f added, bugs fixed, moved to float

several bugs fixed

LUT fixed, no switch in tetraInterpolate()

temporary code; to be removed and rewritten

before refactoring

extra interpolations removed, some things to do left

added Lab2RGB_b +XYZ version, etc.

basic version is done, to be sped up

tetra refactored

interpolations: LUT for weights, refactor., etc.

address arithm optimized

initial version of vectorized code added (not compiling now)

compilation fixed, now segfaults

a lot of fixes, vectorization temp. disabled

fixed trilinear shift size, max error dropped from 19 to 10

fixed several bugs (255 vs 256, signed vs unsigned, bIdx)

minor changes

packed: address arithmetics fixed

shorter code

experiments with pure integer calculations

Lab2RGB max error decreased to 2; need to clean the code

ready for vectorization; need cleaning

vectorized, to be debugged

precision fixed, max error is 2

Lab->XYZ shortened

minor fixes

Lab2RGB_f version fixed, to be completely rewritten using _b code

RGB2Lab_f vectorized

minors

moved to separate file

refactored Lab2RGB to float and int versions

minor fix

Lab2RGB_f vectorized

minor refactoring

Lab2RGBint refactored: process methods, vectorize by 4 pix

Lab2RGB_f int version is done

cleanup extra code

code copied to color.cpp

fixed blue idx bug

optimizations enabled when testing; mulFracConst introduced

divConst -> mulFracConst

calc min time in perf instead of avg

minors

process() slightly sped up

Lab2RGB_f: disabled int version

reinterpret added, minor fixes in names

some warnings fixed

changes transferred to color.cpp

RGB2Lab_f code (and trilinear interpolation code) moved to rgb2lab_faster

whitespace

shift negative fixed

more warnings fixed

"constant condition" warnings fixed, little speed up

minor changes

test_photo decolor fixed

changes copied to test_lab.cpp

idx bounds checking in LUT init

several fixes

WIP: softfloat almost integrated

test_lab partially rewritten to SoftFloat

color.cpp rewritten to SoftFloat

test_lab.cpp: accuracy code added

several fixes

RGB2Lab_b testing fixed

splineBuild() rewritten to SoftFloat

accuracy control improved

rounding fixed

Luv <=> RGB: rewritten to SoftFloat

OCL cvtColor Lab and Lut rewritten to SoftFloat

minor fixes

refactored to new SoftFloat interface

round() -> cvRound, etc.

fixed OCL tests

softfloat.cpp: internal functions made static, unused ones removed

meaningful constants

extra lines removed

unused function removed

unfinished work

it works, need to fix TODOs

refactoring; more calls rewritten

mulFracConst removed

constants made bit exact; minors

changes moved to color.cpp

fixed 1 bug and 4 warnings

OCL: fixed constants

pow(x, _1_3f) replaced by cubeRoot(x)

fixed compilation on MSVC32

magic constants explained

file with internal accuracy&speed tests moved to lab_tetra branch

Add constructors taking initializer_list for some of OpenCV data types (#9034)

* Add a constructor taking initializer_list for Matx

* Add a constructor taking initializer list for Mat and Mat_

* Add one more method to initialize Mat to the corresponding tutorial

* Add a note how to initialize Matx

* CV_CXX_11->CV_CXX11

imgproc: fix MORPH_HITMISS operation when kernel has no negative values

Add gstreamer capture capability for some YUV formats (#8914)

* Add gstreamer capture capability for some YUV formats.(only for gstreamer-1.0)

* avoid cross initialization error

* add checking if pipeline is manualpipeline, for compatibility.

fix the MSER history's size issue (#8910)

* simplify growHistory and merge

* add assertion for history's size

* MSER: fix merging components' history

Added tests for ResNet-50 and SqueezeNet v1.1

cpu dispatch(core): hamming

AVX optimized implementation of separable filters migrated

AVX and SSE4.1 optimized conversion migrated

AVX and SSE4.1 optimized implementation of resize and warp functions migrated

core: get rid of OPENCV_NOSTL definition

Fix typo in harris corner detection tutorial.

fixed problem in concat layer by disabling memory re-use in layers with multiple inputs

trying to fix the tests when Halide is used to run deep nets

another attempt to fix Halide tests

see if the Halide tests will pass with concat layer fusion turned off

trying to fix failures in halide tests; another try

one more experiment to make halide_concat & halide_enet tests pass

continue attempts to fix halide tests

moving on

uncomment parallel concat layer

seemingly fixed failures in Halide tests and re-enabled concat layer fusion; thanks to dkurt for the patch

AVX optimized implementation of haar migrated to separate file

It is configurable via OPENCV_CPUFEATURES_TARGET_NAME variable