Support building with OpenEXR 3.x
* Support OpenEXR 3.0
Try to find OpenEXR 3.0 using the upstream cmake config, and fallback to the previous algorithm if not found
* Add explicit ImfFrameBuffer.h include
This was transitively included with OpenEXR 2.x, but that's no longer the case with OpenEXR 3.x
Stitching Detailed Tutorial Improvements
* Add Vertical Wave Correction
The user has the possibility to pass "vert" as wave_correct parameter. However, in the code "cv.detail.WAVE_CORRECT_HORIZ" ist fixed. This change proposes changes so that the wave correction is done vertically if the user passes "vert" as wave_correct parameter. The variable "do_wave_correct" is replaced by None which is passed to the variable "wave_correct" if the user chooses "no" for wave correction.
* Correct fixed conf_thresh
According to the documentation, [cv.detail.leaveBiggestComponent](https://docs.opencv.org/4.5.1/d7/d74/group__stitching__rotation.html#ga855d2fccbcfc3b3477b34d415be5e786) takes features, the pairwise_matches and the conf_threshold as input.
In the tutorial, however, conf_threshold is fixed at 0.3 even though the user can pass conf_thresh as parameter which is 1 by default. Fixing this parameter at 0.3 causes the script to include images into the panorama which are not part of it.
Add reading of specific images from multipage tiff
* Add reading of specific images from multipage tiff
* Fix build issues
* Add missing flag for gdal
* Fix unused param warning
* Remove duplicated code
* change public parameter type to int
* Fix warnings
* Fix parameter check
G-API MTCNN sample
* add face detection demo
* clean up
* enable back accumulate
* additional input
* meta args workaround
* additional arg
* add init
* roll back
* fix shadowing
* roll back
* clean up and PNet copy from debug branch which now works
* try nets operator
* more clean up
* more clean up
* add 6 layers pyramid experimental code
* final clean up and ready for PR
* original image resize
* Remove Pnet declarations. Generic infer is used now.
* scales and sizes calculation added
* fix assert, and add ceil to size calculation
* try doubles for scales
* Address comments from Dmitry.
* use half scale option
* fix half scale
* clean up debug outputs
* try to get input image width and height
* clean up
* trailing spaces and review from Maxim
* more comments from Maxim are addressed
* try to fix warnings
* try to fix warnings and address more comments from Dmitry
* crop fix and clean up
* more warnings fixes
* more warnings fixes
* more comments from Maxim are addressed
* even more consts
* copy_n for regressions
* address more comments from Dmitry
* more comments from Maxim
Currently, the LOADER_DIR is set as os.path.dirname(os.path.abspath(__file__)). This does not point to the true library path if the cv2 folder is symlinked into the Python package directory such that importing cv2 under Python fails. The proposed change only resolves symbolic links correctly by calling os.path.realpath(__file__) first and does not change anything if __file__ contains no symbolic link.
Fix bug with predictions in RTrees/Boost
* address bug where predict functions with invalid feature count in rtrees/boost models
* compact matrix rep in tests
* check 1..n-1 and n+1 in feature size validation test
Fix Single ThresholdBug in Simple Blob Detector
* address bug with using min dist between blobs in blob detector
cast type in comparison and remove docs
address bug with using min dist between blobs in blob detector
use scalar instead of int
address bug with using min dist between blobs in blob detector
* fix namespace and formatting
Also bring perf_imgproc CornerMinEigenVal accuracy requirements in line with
the test_imgproc accuracy requirements on that test and fix indentation on
the latter.
Partially addresses issue #9821
