QR-Code detector : multiple detection

* change in qr-codes detection

* change in qr-codes detection

* change in test

* change in test

* add multiple detection

* multiple detection

* multiple detect

* add parallel implementation

* add functional for performance tests

* change in test

* add perftest

* returned implementation for 1 qr-code, added support for vector<Mat> and vector<vector<Point2f>> in MultipleDetectAndDecode

* deleted all lambda expressions

* changing in triangle sort

* fixed warnings

* fixed errors

* add java and python tests

* change in java tests

* change in java and python tests

* change in perf test

* change in qrcode.cpp

* add spaces

* change in qrcode.cpp

* change in qrcode.cpp

* change in qrcode.cpp

* change in java tests

* change in java tests

* solved problems

* solved problems

* change in java and python tests

* change in python tests

* change in python tests

* change in python tests

* change in methods name

* deleted sample qrcode_multi, change in qrcode.cpp

* change in perf tests

* change in objdetect.hpp

* deleted code duplication in sample qrcode.cpp

* returned spaces

* added spaces

* deleted draw function

* change in qrcode.cpp

* change in qrcode.cpp

* deleted all draw functions

* objdetect(QR): extractVerticalLines

* objdetect(QR): whitespaces

* objdetect(QR): simplify operations, avoid duplicated code

* change in interface, additional checks in java and python tests, added new key in sample for saving original image from camera

* fix warnings and errors in python test

* fix

* write in file with space key

* solved error with empty mat check in python test

* correct path to test image

* deleted spaces

* solved error with check empty mat in python tests

* added check of empty vector of points

* samples: rework qrcode.cpp

* objdetect(QR): fix API, input parameters must be first

* objdetect(QR): test/fix points layout

declaration order is not fixed

Error message:
Core.java:97: error: illegal forward reference
    Hamming_normType = NORM_HAMMING,

- better handling of enum arguments
- less merge conflicts

* Add Java overloads for each default argument

* Add "fisheye_" prefix for cv::fisheye:: functions and enums

- missing 'module'
- fixed '\r\n' EOL handling (blocked by '$' regex)

Found via `codespell`

- fix imports override.
  Problem is observed with BoostDesc.

- add Ptr<> handling (constructor is protected from other packages).
  Observed in ximgproc:
      Ptr<StereoMatcher> createRightMatcher(Ptr<StereoMatcher> matcher_left)"
  where, "StereoMather" is from another package (calib3d)

Support @deprecated tag in java wrappers (#9698)

To resolve undefined "Mat_to_vector_KeyPoint" error

improved fix for java wrapper generator (gen_java.py) to avoid generation of java methods with duplicate signatures(v3)

Before:
    Ptr<Dictionary>((cv::aruco::Dictionary*)dictionary_nativeObj)
After:
    Ptr<cv::aruco::Dictionary>((cv::aruco::Dictionary*)dictionary_nativeObj)

* fix for feature2d java wrappers as described in this post: http://answers.opencv.org/question/101675/surfsift-java-wrapper-for-opencv-3xosx-1011/

* fix for feature2d java wrappers as described in this post: http://answers.opencv.org/question/101675/surfsift-java-wrapper-for-opencv-3xosx-1011/

* rollback of one change as requested (similar change already merged)

While generating Java JNI wrappers package names with an underscore (`_`) character where not properly escaped according to https://docs.oracle.com/javase/8/docs/technotes/guides/jni/spec/design.html#resolving_native_method_names (see also: https://github.com/Itseez/opencv_contrib/issues/652).

This fix replaces all the occurrences of `_` with `_1` resulting in proper JNI method names.

* Adds the main features2d header to the parse list for the generator.
* Removes the manual definition of drawKeypoints and drawMatches since these are now included in the main header.
* Updates the generator to ignore SimpleBlobDetector, FlannBasedMatcher and DescriptorMatcher as these cause conflicts with the generator. This is okay since these were not previously included in the distribution anyway, so no harm is done.

 - cv2.UMat implemented - python thin wrapper for UMat
 - no implicit copy from GPU to Host done, resulting UMat can be passed to next function without overhead
 - cv2.UMat.get() - to fetch data to Host
 - new tests covers: ORB, BFMatcher, goodFeaturesToTrack, calcOpticalFlowPyrLK

fixing fourcc