* Create text_detection.py

#12270 #13429
**Deep Learning text detection sample (Python)**
- Tested on **Ubuntu 18.04** - OpenCV 3.4.3, OpenCV 3.4.4, OpenCV 4.0 (master branch)
- Python version supported - Python 2 and Python 3

* Fix trailing whitespaces

* Update text_detection.py

* Remove whitespace

* Remove comments

* Remove unused packages

* Update description

* samples: rename starter_imagelist.cpp

* samples: rename intelperc_capture.cpp => videocapture_intelperc.cpp

* samples: rename openni_capture.cpp => videocapture_openni.cpp

* samples: rename image_sequence.cpp => videocapture_image_sequence.cpp

* samples: rename gstreamer_pipeline.cpp => videocapture_gstreamer_pipeline.cpp

* samples: rename autofocus.cpp => videocapture_gphoto2_autofocus.cpp

* samples: rename live_detect_qrcode.cpp => qrcode.cpp

- drop EnableDelayedExpansion

The load() function returns a new object, and as such does not use the one it is called on.
This commit updates the uses of model.load in this program so it will work as intended and not throw an error.

Add a function that draws frame axes. Useful for debugging purpose and to check the correctness of the output of a pose estimation method.

MSVS is shipped with CMake compoment.

* samples: add winpack "drap & drop" build script

* samples: add search for MSVS 2017 Enterprise

- 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