* java: fix java missing_consts

* java: test Calib3d constants

HSV and HLS color conversions rewritten to wide intrinsics (#14616)

* RGB2HSV_b vectorized

* RGB2HSV_f: widen

* RGB2HSV_f: shorten, more intuitive

* HSV2RGB_f and HSV2RGB_b widen

* hls2rgb_f widen

* instrumentation instead vx_cleanup

* RGB2HLS_f widen

* RGB2HLS_b rewritten to wide universal intrinsics

* define guard against no SIMD code

* hls2rgb_b rewritten

* extra define removed

* warning fixed

* hls2rgb_b: performance fixed

Lab, Luv and XYZ conversions rewritten to wide intrinsics (#14106)

* rgb2xyz<float> re-vectorized

* rgb2xyz_i vectorized for ushort and uchar

* xyz2rgb<float> vectorized

* xyz2rgb_i vectorized for both uchar and ushort

* intermediate conversions (int->float) rewritten

* packed rgb2luv rewritten

* (some) float conversions rewritten

* burnt volatile int _3 and similar

* RGB2Lab_b rewritten

* tests: logging made better

* RGB2Lab_f (LRGB path) rewritten

* Lab2RGBfloat rewritten

* Lab2RGBinteger and Lab2RGB_b rewritten to wide universal intrinsics

* Luv2RGBinteger wide vectorized

* RGB2Lab_b fixed: v_sub_wrap instead of saturated sub

* warnings fixed

* trying to fix compilation on older compilers

* using 16x8 registers for 8-element dot product

* cleanup added

* splineInterpolate: loop unrolled, perf fix for f32x4

* Lab2RGBfloat: grab 2x more data to process on f32x4

* nrepeats for Luv2RGBfloat, +20% perf

* minor

* nrepeats to RGB2Lab_f

* Lab2RGBinteger: no tab for linear BGR

* nrepeats for RGB2Luvfloat

* Luv2RGBinteger: no tab for linear RGB

* +10% more to perf of Luv2RGBfloat

* nrepeats for 256-simd for Lab2RGBfloat

* less warnings

* BOM removed

* CV_SIMD_WIDTH used for lanes number checking

* trilinearPackedInterpolate: 128-bit specialization added

* fix build; no vx_cleanup(), instrumentation instead

Fix wrong indentation as well while at it

Add SOLVEPNP_IPPE for planar pose estimation. Add solvePnPGeneric function that returns all the pose solutions and the reprojection errors.

* Fix typo: 'divisble' -> 'divisible'

* Fix typo: 'One of arguments' -> 'One of the arguments'

* core: improve AVX512 infrastructure by adding more CPU features groups

* cmake: use groups for AVX512 optimization flags

* core: remove gap in CPU flags enumeration

* cmake: restore default CPU_DISPATCH

fix a typo in ml_intro.md, tress -> trees

Added checks for all of vertices from each contour instead of checking
only for the first vertex.

Support Convolution3D layer on IE backend (#14301)

* Add Convolution3D layer

* Disable CXX11

* Fixed tests

* Add Pooling3D layer

* Merge Conv2d with Conv3d and Pool2d with Pool3d layers

* Split pads

* Add Deconvolution layer

* Refactoring

* Deduplication

* Refactoring

* Add utils for Convolution and Pooling layers

Add solvePnPRefineLM to refine a pose according to a Levenberg-Marquardt iterative minimization process. Add solvePnPRefineVVS to refine a pose using a virtual visual servoing scheme.

properly handle "check" mode with:
"--perf_min_samples=1 --perf_force_samples=1"

* Fix for Homogenous precision #14242:
 - moved scale computation to an inline function
 - use std::numeric_limits<float>::epsilon() instead of != 0.0

* Fix for Homogenous precision #14242:
 - fixed warnings for type conversion

* Fix for Homogenous precision #14242:
 - use float epsilon() for truncation of doubles