- accepts script parameter (allows drag & drop from 'explorer')
- use script dir instead of current dir (can launch samples from 'samples/dnn')
- added 'pause' to show error messages (about missing numpy) instead of instant closing

find innercircle of contour by using pointPolygonTest: (#12206)

* Remove a forward method in dnn::Layer

* Add a test

* Fix tests

* Mark multiple dnn::Layer::finalize methods as deprecated

* Replace back dnn's inputBlobs to vector of pointers

* Remove Layer::forward_fallback from CV_OCL_RUN scopes

- don't use TBB in samples

* Remove TensorFlow and protobuf dependencies from object detection scripts

* Create text graphs for TensorFlow object detection networks from sample

* doc: add new tutorial motion deblur filter

* Update motion_deblur_filter.markdown

a few minor changes

* Include preprocessing nodes to object detection TensorFlow networks

* Enable more fusion

* faster_rcnn_resnet50_coco_2018_01_28 test

except header file with conversion routines (will be removed in OpenCV 4.0)

resolves #12307

* Support Mask-RCNN from TensorFlow

* Fix a sample

* Update core.hpp

* Update imgproc.hpp

* Update ImgprocTest.java

* Update CameraCalibrator.java

* Update OnCameraFrameRender.java

* Update FindContoursDemo.java

* Update IntroductionToSVMDemo.java

* Update NonLinearSVMsDemo.java

* Update IntroductionToPCADemo.java

* Update Smoothing.java

* Update MainActivity.java

* Update CalcBackProjectDemo1.java

* Update CornerSubPixDemo.java

* Update CornerDetectorDemo.java

* Update GoodFeaturesToTrackDemo.java

Multi-argument CV_Assert() is accessible via CV_Assert_N() (with malformed messages).

Found via `codespell -q 3 -I ../opencv-whitelist.txt --skip="./3rdparty"`

In this tutorial you will learn:
- what is a degradation image model
- what is a PSF of an out-of-focus image
- how to restore a blurred image
- what is the Wiener filter

Enable Torch layers tests with Intel's Inference Engine backend.

Mser sample improvments (#12032)

* Fixed bug in detect_mser sample
Wrong number of colors used to generate the synthetic images

* Formatting improvements

* Using safer casts

* Improved readability of legend generation

* Various readability fixes in detect_mser sample

      - Changing the contrast and brightness of an image!
      - Operations with images

Not all backends support -1 index.

Add Java and Python code for AKAZE local features matching tutorial. Fix incorrect uses of Mat.mul() in Java code.

Uniform Lowe's ratio test in the code.

Add Java and Python code for Image Segmentation with Distance Transform and Watershed Algorithm tutorial. Use more Pythonic code.