* fix faster_rcnn sample crashed at PoolingInvoker operator() of pooling_layer.
* find_odj onmouse bug about find matched point status.
* reverted AutoBuffer back to std::vector
* Add a new interface for hough transform
* Fixed warning code
* Fix HoughLinesUsingSetOfPoints based on HoughLinesStandard
* Delete memset
* Rename HoughLinesUsingSetOfPoints and add common function
* Fix test error
* Change static function name
* Change using CV_Assert instead of if-block and add integer test case
* I solve the conflict and delete 'std :: tr1' and changed it to use 'tuple'
* I deleted std::tr1::get and changed int to use 'get'
* Fixed sample code
* revert test_main.cpp
* Delete sample code in comment and add snippets
* Change file name
* Delete static function
* Fixed build error
- removed tr1 usage (dropped in C++17)
- moved includes of vector/map/iostream/limits into ts.hpp
- require opencv_test + anonymous namespace (added compile check)
- fixed norm() usage (must be from cvtest::norm for checks) and other conflict functions
- added missing license headers
* Simulated Annealing for ANN_MLP training method
* EXPECT_LT
* just to test new data
* manage RNG
* Try again
* Just run buildbot with new data
* try to understand
* Test layer
* New data- new test
* Force RNG in backprop
* Use Impl to avoid virtual method
* reset all weights
* try to solve ABI
* retry
* ABI solved?
* till problem with dynamic_cast
* Something is wrong
* Solved?
* disable backprop test
* remove ANN_MLP_ANNEALImpl
* Disable weight in varmap
* Add example for SimulatedAnnealing
Following were the errors in the digits_video.py
1 ) The code was not working because data type of x was float however in "cv2.rectangle" we require integer .
2 ) After pressing the "esc" button the image windows did not destroy
So I amended following things:
1 ) ~converted data type of x to int.~ Used Python integer division (//)
2 ) used cv2.destroyAllWindows() to close all windows after the press of "esc" by user.