* Rewrite polar transformations
- A new wrapPolar function encapsulate both linear and semi-log remap
- Destination size is a parameter or calculated automatically to keep objects size between remapping
- linearPolar and logPolar has been deprecated
* Fix build warning and error in accuracy test
* Fix function name to warpPolar
* Explicitly specify the mapping mode, so we retain all the parameters as non-optional.
Introduces WarpPolarMode enum to specify the mapping mode in flags
* resolves performance warning on windows build
* removed duplicated logPolar and linearPolar implementations
In line 104 `if ( full_neg_lst[i].cols >= box.width && full_neg_lst[i].rows >= box.height )` removed '=' as it causes divide By Zero Error in line 106 and 107 `box.x = rand() % ( full_neg_lst[i].cols - size_x );` when full_neg_lst[i].cols = size_x or full_neg_lst[i].rows - size_y
- allow installing samples sources on all platforms
even if BUILD_EXAMPLES is disabled, fixed minor
issues in sources installation process
- use 'example_<group>_<name>' scheme for target and binary file naming
- use single function for sample executable creation
* 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
* 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
Adds fitEllipseDirect to imgproc: The Direct least square (Direct) method by Fitzgibbon1999.
New Tests are included for the methods.
fitEllipseAMS Tests
fitEllipseDirect Tests
Comparative examples are added to fitEllipse.cpp in Samples.
Added gradiantSize param into goodFeaturesToTrack API (#9618)
* Added gradiantSize param into goodFeaturesToTrack API
Removed hardcode value 3 in goodFeaturesToTrack API, and
added new param 'gradinatSize' in this API so that user can
pass any gradiant size as 3, 5 or 7.
Signed-off-by: Vipin Anand <anand.vipin@gmail.com>
Signed-off-by: Nilaykumar Patel<nilay.nilpat@gmail.com>
Signed-off-by: Prashanth Voora <prashanthx85@gmail.com>
* fixed compilation error for java test
Signed-off-by: Vipin Anand <anand.vipin@gmail.com>
* Modifying code for previous binary compatibility and fixing other warnings
fixed ABI break issue
resolved merged conflict
compilation error fix
Signed-off-by: Vipin Anand <anand.vipin@gmail.com>
Signed-off-by: Patel, Nilaykumar K <nilay.nilpat@gmail.com>
Add constructors taking initializer_list for some of OpenCV data types (#9034)
* Add a constructor taking initializer_list for Matx
* Add a constructor taking initializer list for Mat and Mat_
* Add one more method to initialize Mat to the corresponding tutorial
* Add a note how to initialize Matx
* CV_CXX_11->CV_CXX11
Remove unnecessary Non-ASCII characters from source code (#9075)
* Remove unnecessary Non-ASCII characters from source code
Remove unnecessary Non-ASCII characters and replace them with ASCII
characters
* Remove dashes in the @param statement
Remove dashes and place single space in the @param statement to keep
coding style
* misc: more fixes for non-ASCII symbols
* misc: fix non-ASCII symbol in CMake file
*Fixing typos;
*Making codes more similar to the main one, in C++;
*Adding Grayscale option to the Python and Java codes;
*Fixing python identation, whitespaces and redundancies.
* Extending template_matching tutorial with Java
* adding mask to java version of the tutorial
* adding the python toggle and code
* updating table of content
* adding py and java to table of content
* adding mask to python
* going back to markdown with duplicated text
* non duplicated text
