Merge pull request #6441 from asmorkalov:version++

backport from master

3rdparty/libjpeg/CMakeLists.txt

@@ -26,7 +26,7 @@ if(CMAKE_COMPILER_IS_GNUCXX)
 endif()
 
 ocv_warnings_disable(CMAKE_C_FLAGS -Wcast-align -Wshadow -Wunused)
-ocv_warnings_disable(CMAKE_C_FLAGS -Wunused-parameter) # clang
+ocv_warnings_disable(CMAKE_C_FLAGS -Wunused-parameter -Wshift-negative-value) # clang
 
 set_target_properties(${JPEG_LIBRARY}
   PROPERTIES OUTPUT_NAME ${JPEG_LIBRARY}

3rdparty/libtiff/CMakeLists.txt

@@ -93,6 +93,7 @@ ocv_warnings_disable(CMAKE_CXX_FLAGS /wd4018 /wd4100 /wd4127 /wd4311 /wd4701 /wd
 ocv_warnings_disable(CMAKE_CXX_FLAGS /wd4244) # vs2008
 ocv_warnings_disable(CMAKE_CXX_FLAGS /wd4267 /wd4305 /wd4306) # vs2008 Win64
 ocv_warnings_disable(CMAKE_CXX_FLAGS /wd4703) # vs2012
+ocv_warnings_disable(CMAKE_CXX_FLAGS /wd4456 /wd4457 /wd4312) # vs2015
 
 ocv_warnings_disable(CMAKE_C_FLAGS /wd4267 /wd4244 /wd4018)
 

3rdparty/openexr/CMakeLists.txt

@@ -38,10 +38,12 @@ source_group("Include" FILES ${lib_hdrs} )
 source_group("Src" FILES ${lib_srcs})
 
 ocv_warnings_disable(CMAKE_CXX_FLAGS -Wshadow -Wunused -Wsign-compare -Wundef -Wmissing-declarations -Wuninitialized -Wswitch -Wparentheses -Warray-bounds -Wextra)
+ocv_warnings_disable(CMAKE_CXX_FLAGS -Wdeprecated-declarations)
 ocv_warnings_disable(CMAKE_CXX_FLAGS /wd4018 /wd4099 /wd4100 /wd4101 /wd4127 /wd4189 /wd4245 /wd4305 /wd4389 /wd4512 /wd4701 /wd4702 /wd4706 /wd4800) # vs2005
 ocv_warnings_disable(CMAKE_CXX_FLAGS /wd4334) # vs2005 Win64
 ocv_warnings_disable(CMAKE_CXX_FLAGS /wd4244) # vs2008
 ocv_warnings_disable(CMAKE_CXX_FLAGS /wd4267) # vs2008 Win64
+ocv_warnings_disable(CMAKE_CXX_FLAGS /wd4456 /wd4457 /wd4312) # vs2015
 
 if(UNIX AND (CMAKE_COMPILER_IS_GNUCXX OR CV_ICC))
   set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fPIC")

3rdparty/zlib/CMakeLists.txt

@@ -82,7 +82,7 @@ if(UNIX)
   endif()
 endif()
 
-ocv_warnings_disable(CMAKE_C_FLAGS -Wshorten-64-to-32 -Wattributes -Wstrict-prototypes -Wmissing-prototypes -Wmissing-declarations)
+ocv_warnings_disable(CMAKE_C_FLAGS -Wshorten-64-to-32 -Wattributes -Wstrict-prototypes -Wmissing-prototypes -Wmissing-declarations -Wshift-negative-value)
 
 set_target_properties(${ZLIB_LIBRARY} PROPERTIES
         OUTPUT_NAME ${ZLIB_LIBRARY}

CMakeLists.txt

@@ -140,7 +140,7 @@ OCV_OPTION(WITH_1394           "Include IEEE1394 support"                    ON
 OCV_OPTION(WITH_AVFOUNDATION   "Use AVFoundation for Video I/O"              ON   IF IOS)
 OCV_OPTION(WITH_CARBON         "Use Carbon for UI instead of Cocoa"          OFF  IF APPLE )
 OCV_OPTION(WITH_CUDA           "Include NVidia Cuda Runtime support"         ON   IF (CMAKE_VERSION VERSION_GREATER "2.8" AND NOT IOS) )
-OCV_OPTION(WITH_VTK            "Include VTK library support (and build opencv_viz module eiher)"             OFF IF (NOT ANDROID AND NOT IOS) )
+OCV_OPTION(WITH_VTK            "Include VTK library support (and build opencv_viz module eiher)"             OFF IF (NOT ANDROID AND NOT IOS AND NOT CMAKE_CROSSCOMPILING) )
 OCV_OPTION(WITH_CUFFT          "Include NVidia Cuda Fast Fourier Transform (FFT) library support"            ON  IF (CMAKE_VERSION VERSION_GREATER "2.8" AND NOT IOS) )
 OCV_OPTION(WITH_CUBLAS         "Include NVidia Cuda Basic Linear Algebra Subprograms (BLAS) library support" OFF IF (CMAKE_VERSION VERSION_GREATER "2.8" AND NOT IOS) )
 OCV_OPTION(WITH_NVCUVID        "Include NVidia Video Decoding library support"                               OFF IF (CMAKE_VERSION VERSION_GREATER "2.8" AND NOT ANDROID AND NOT IOS AND NOT APPLE) )
@@ -631,7 +631,11 @@ if(INSTALL_TESTS AND OPENCV_TEST_DATA_PATH)
     if(BUILD_opencv_python)
       file(GLOB py_tests modules/python/test/*.py)
       install(PROGRAMS ${py_tests} DESTINATION ${OPENCV_TEST_INSTALL_PATH} COMPONENT tests)
-      set(OPENCV_PYTHON_TESTS_LIST "test2.py")
+      if(BUILD_opencv_nonfree)
+        file(GLOB py_nonfree_tests modules/python/test/nonfree_tests/*.py)
+        install(PROGRAMS ${py_nonfree_tests} DESTINATION ${OPENCV_TEST_INSTALL_PATH}/nonfree_tests COMPONENT tests)
+      endif()
+      set(OPENCV_PYTHON_TESTS_LIST "test.py")
     endif()
     if(WIN32)
         configure_file("${CMAKE_CURRENT_SOURCE_DIR}/cmake/templates/opencv_run_all_tests_windows.cmd.in"

CONTRIBUTING.md

@@ -0,0 +1,3 @@
+## Contributing guidelines
+
+All guidelines for contributing to the OpenCV repository can be found at [`How to contribute guideline`](https://github.com/Itseez/opencv/wiki/How_to_contribute).

README.md

@@ -1,7 +1,5 @@
 ### OpenCV: Open Source Computer Vision Library
 
-[![Gittip](http://img.shields.io/gittip/OpenCV.png)](https://www.gittip.com/OpenCV/)
-
 #### Resources
 
 * Homepage: <http://opencv.org>

apps/CMakeLists.txt

@@ -3,3 +3,4 @@ link_libraries(${OPENCV_LINKER_LIBS})
 add_subdirectory(haartraining)
 add_subdirectory(traincascade)
 add_subdirectory(annotation)
+add_subdirectory(visualisation)

apps/annotation/CMakeLists.txt

@@ -20,7 +20,6 @@ set_target_properties(${the_target} PROPERTIES
                       DEBUG_POSTFIX "${OPENCV_DEBUG_POSTFIX}"
                       ARCHIVE_OUTPUT_DIRECTORY ${LIBRARY_OUTPUT_PATH}
                       RUNTIME_OUTPUT_DIRECTORY ${EXECUTABLE_OUTPUT_PATH}
-                      INSTALL_NAME_DIR lib
                       OUTPUT_NAME "opencv_annotation")
 
 if(ENABLE_SOLUTION_FOLDERS)

apps/annotation/opencv_annotation.cpp

@@ -46,6 +46,9 @@ USAGE:
 ./opencv_annotation -images <folder location> -annotations <ouput file>
 
 Created by: Puttemans Steven - February 2015
+Adapted by: Puttemans Steven - April 2016 - Vectorize the process to enable better processing
+                                               + early leave and store by pressing an ESC key
+                                               + enable delete `d` button, to remove last annotation
 *****************************************************************************************************/
 
 #include <opencv2/core/core.hpp>
@@ -66,16 +69,15 @@ using namespace cv;
 
 // Function prototypes
 void on_mouse(int, int, int, int, void*);
-string int2string(int);
-void get_annotations(Mat, stringstream*);
+vector<Rect> get_annotations(Mat);
 
 // Public parameters
 Mat image;
 int roi_x0 = 0, roi_y0 = 0, roi_x1 = 0, roi_y1 = 0, num_of_rec = 0;
-bool start_draw = false;
+bool start_draw = false, stop = false;
 
 // Window name for visualisation purposes
-const string window_name="OpenCV Based Annotation Tool";
+const string window_name = "OpenCV Based Annotation Tool";
 
 // FUNCTION : Mouse response for selecting objects in images
 // If left button is clicked, start drawing a rectangle as long as mouse moves
@@ -83,7 +85,7 @@ const string window_name="OpenCV Based Annotation Tool";
 void on_mouse(int event, int x, int y, int , void * )
 {
     // Action when left button is clicked
-    if(event == CV_EVENT_LBUTTONDOWN)
+    if(event == EVENT_LBUTTONDOWN)
     {
         if(!start_draw)
         {
@@ -96,8 +98,9 @@ void on_mouse(int event, int x, int y, int , void * )
             start_draw = false;
         }
     }
-    // Action when mouse is moving
-    if((event == CV_EVENT_MOUSEMOVE) && start_draw)
+
+    // Action when mouse is moving and drawing is enabled
+    if((event == EVENT_MOUSEMOVE) && start_draw)
     {
         // Redraw bounding box for annotation
         Mat current_view;
@@ -107,75 +110,88 @@ void on_mouse(int event, int x, int y, int , void * )
     }
 }
 
-// FUNCTION : snippet to convert an integer value to a string using a clean function
-// instead of creating a stringstream each time inside the main code
-string int2string(int num)
+// FUNCTION : returns a vector of Rect objects given an image containing positive object instances
+vector<Rect> get_annotations(Mat input_image)
 {
-    stringstream temp_stream;
-    temp_stream << num;
-    return temp_stream.str();
-}
+    vector<Rect> current_annotations;
 
-// FUNCTION : given an image containing positive object instances, add all the object
-// annotations to a known stringstream
-void get_annotations(Mat input_image, stringstream* output_stream)
-{
-    // Make it possible to exit the annotation
-    bool stop = false;
-
-    // Reset the num_of_rec element at each iteration
-    // Make sure the global image is set to the current image
-    num_of_rec = 0;
-    image = input_image;
+    // Make it possible to exit the annotation process
+    stop = false;
 
     // Init window interface and couple mouse actions
     namedWindow(window_name, WINDOW_AUTOSIZE);
     setMouseCallback(window_name, on_mouse);
 
+    image = input_image;
     imshow(window_name, image);
-    stringstream temp_stream;
     int key_pressed = 0;
 
     do
     {
+        // Get a temporary image clone
+        Mat temp_image = input_image.clone();
+        Rect currentRect(0, 0, 0, 0);
+
         // Keys for processing
         // You need to select one for confirming a selection and one to continue to the next image
         // Based on the universal ASCII code of the keystroke: http://www.asciitable.com/
-        //      c = 99		    add rectangle to current image
-        //	    n = 110		    save added rectangles and show next image
-        //	    <ESC> = 27      exit program
+        //      <c> = 99          add rectangle to current image
+        //	<n> = 110	  save added rectangles and show next image
+        //      <d> = 100         delete the last annotation made
+        //	<ESC> = 27        exit program
         key_pressed = 0xFF & waitKey(0);
         switch( key_pressed )
         {
         case 27:
                 destroyWindow(window_name);
                 stop = true;
+                break;
         case 99:
-                // Add a rectangle to the list
-                num_of_rec++;
                 // Draw initiated from top left corner
                 if(roi_x0<roi_x1 && roi_y0<roi_y1)
                 {
-                    temp_stream << " " << int2string(roi_x0) << " " << int2string(roi_y0) << " " << int2string(roi_x1-roi_x0) << " " << int2string(roi_y1-roi_y0);
+                    currentRect.x = roi_x0;
+                    currentRect.y = roi_y0;
+                    currentRect.width = roi_x1-roi_x0;
+                    currentRect.height = roi_y1-roi_y0;
                 }
                 // Draw initiated from bottom right corner
                 if(roi_x0>roi_x1 && roi_y0>roi_y1)
                 {
-                    temp_stream << " " << int2string(roi_x1) << " " << int2string(roi_y1) << " " << int2string(roi_x0-roi_x1) << " " << int2string(roi_y0-roi_y1);
+                    currentRect.x = roi_x1;
+                    currentRect.y = roi_y1;
+                    currentRect.width = roi_x0-roi_x1;
+                    currentRect.height = roi_y0-roi_y1;
                 }
                 // Draw initiated from top right corner
                 if(roi_x0>roi_x1 && roi_y0<roi_y1)
                 {
-                    temp_stream << " " << int2string(roi_x1) << " " << int2string(roi_y0) << " " << int2string(roi_x0-roi_x1) << " " << int2string(roi_y1-roi_y0);
+                    currentRect.x = roi_x1;
+                    currentRect.y = roi_y0;
+                    currentRect.width = roi_x0-roi_x1;
+                    currentRect.height = roi_y1-roi_y0;
                 }
                 // Draw initiated from bottom left corner
                 if(roi_x0<roi_x1 && roi_y0>roi_y1)
                 {
-                    temp_stream << " " << int2string(roi_x0) << " " << int2string(roi_y1) << " " << int2string(roi_x1-roi_x0) << " " << int2string(roi_y0-roi_y1);
+                    currentRect.x = roi_x0;
+                    currentRect.y = roi_y1;
+                    currentRect.width = roi_x1-roi_x0;
+                    currentRect.height = roi_y0-roi_y1;
                 }
-
-                rectangle(input_image, Point(roi_x0,roi_y0), Point(roi_x1,roi_y1), Scalar(0,255,0), 1);
-
+                // Draw the rectangle on the canvas
+                // Add the rectangle to the vector of annotations
+                current_annotations.push_back(currentRect);
+                break;
+        case 100:
+                // Remove the last annotation
+                if(current_annotations.size() > 0){
+                    current_annotations.pop_back();
+                }
+                break;
+        default:
+                // Default case --> do nothing at all
+                // Other keystrokes can simply be ignored
                 break;
         }
 
@@ -184,35 +200,40 @@ void get_annotations(Mat input_image, stringstream* output_stream)
         {
             break;
         }
+
+        // Draw all the current rectangles onto the top image and make sure that the global image is linked
+        for(int i=0; i < (int)current_annotations.size(); i++){
+            rectangle(temp_image, current_annotations[i], Scalar(0,255,0), 1);
+        }
+        image = temp_image;
+
+        // Force an explicit redraw of the canvas --> necessary to visualize delete correctly
+        imshow(window_name, image);
     }
     // Continue as long as the next image key has not been pressed
     while(key_pressed != 110);
 
-    // If there are annotations AND the next image key is pressed
-    // Write the image annotations to the file
-    if(num_of_rec>0 && key_pressed==110)
-    {
-        *output_stream << " " << num_of_rec << temp_stream.str() << endl;
-    }
-
     // Close down the window
     destroyWindow(window_name);
+
+    // Return the data
+    return current_annotations;
 }
 
 int main( int argc, const char** argv )
 {
     // If no arguments are given, then supply some information on how this tool works
     if( argc == 1 ){
-       cout << "Usage: " << argv[0] << endl;
-       cout << "  -images <folder_location> [example - /data/testimages/]" << endl;
-       cout << "  -annotations <ouput_file> [example - /data/annotations.txt]" << endl;
-
-       return -1;
+        cout << "Usage: " << argv[0] << endl;
+        cout << " -images <folder_location> [example - /data/testimages/]" << endl;
+        cout << " -annotations <ouput_file> [example - /data/annotations.txt]" << endl;
+        cout << "TIP: Use absolute paths to avoid any problems with the software!" << endl;
+        return -1;
     }
 
     // Read in the input arguments
     string image_folder;
-    string annotations;
+    string annotations_file;
     for(int i = 1; i < argc; ++i )
     {
         if( !strcmp( argv[i], "-images" ) )
@@ -221,7 +242,7 @@ int main( int argc, const char** argv )
         }
         else if( !strcmp( argv[i], "-annotations" ) )
         {
-            annotations = argv[++i];
+            annotations_file = argv[++i];
         }
     }
 
@@ -246,14 +267,9 @@ int main( int argc, const char** argv )
     }
     #endif
 
-    // Create the outputfilestream
-    ofstream output(annotations.c_str());
-    if ( !output.is_open() ){
-        cerr << "The path for the output file contains an error and could not be opened. Please check again!" << endl;
-        return 0;
-    }
-
+    // Start by processing the data
     // Return the image filenames inside the image folder
+    vector< vector<Rect> > annotations;
     vector<String> filenames;
     String folder(image_folder);
     glob(folder, filenames);
@@ -271,15 +287,33 @@ int main( int argc, const char** argv )
             continue;
         }
 
-        // Perform annotations & generate corresponding output
-        stringstream output_stream;
-        get_annotations(current_image, &output_stream);
+        // Perform annotations & store the result inside the vectorized structure
+        vector<Rect> current_annotations = get_annotations(current_image);
+        annotations.push_back(current_annotations);
 
-        // Store the annotations, write to the output file
-        if (output_stream.str() != ""){
-            output << filenames[i] << output_stream.str();
+        // Check if the ESC key was hit, then exit earlier then expected
+        if(stop){
+            break;
         }
     }
 
+    // When all data is processed, store the data gathered inside the proper file
+    // This now even gets called when the ESC button was hit to store preliminary results
+    ofstream output(annotations_file.c_str());
+    if ( !output.is_open() ){
+        cerr << "The path for the output file contains an error and could not be opened. Please check again!" << endl;
+        return 0;
+    }
+
+    // Store the annotations, write to the output file
+    for(int i = 0; i < (int)annotations.size(); i++){
+        output << filenames[i] << " " << annotations[i].size();
+        for(int j=0; j < (int)annotations[i].size(); j++){
+            Rect temp = annotations[i][j];
+            output << " " << temp.x << " " << temp.y << " " << temp.width << " " << temp.height;
+        }
+        output << endl;
+    }
+
     return 0;
 }

apps/haartraining/CMakeLists.txt

@@ -14,8 +14,6 @@ if(WIN32)
   link_directories(${CMAKE_CURRENT_BINARY_DIR})
 endif()
 
-link_libraries(${OPENCV_HAARTRAINING_DEPS} opencv_haartraining_engine)
-
 # -----------------------------------------------------------
 #  Library
 # -----------------------------------------------------------
@@ -35,11 +33,11 @@ set(cvhaartraining_lib_src
   )
 
 add_library(opencv_haartraining_engine STATIC ${cvhaartraining_lib_src})
+target_link_libraries(opencv_haartraining_engine ${OPENCV_HAARTRAINING_DEPS})
 set_target_properties(opencv_haartraining_engine PROPERTIES
                       DEBUG_POSTFIX "${OPENCV_DEBUG_POSTFIX}"
                       ARCHIVE_OUTPUT_DIRECTORY ${LIBRARY_OUTPUT_PATH}
                       RUNTIME_OUTPUT_DIRECTORY ${EXECUTABLE_OUTPUT_PATH}
-                      INSTALL_NAME_DIR lib
                      )
 
 # -----------------------------------------------------------
@@ -47,6 +45,7 @@ set_target_properties(opencv_haartraining_engine PROPERTIES
 # -----------------------------------------------------------
 
 add_executable(opencv_haartraining cvhaartraining.h haartraining.cpp)
+target_link_libraries(opencv_haartraining ${OPENCV_HAARTRAINING_DEPS} opencv_haartraining_engine)
 set_target_properties(opencv_haartraining PROPERTIES
                       DEBUG_POSTFIX "${OPENCV_DEBUG_POSTFIX}"
                       OUTPUT_NAME "opencv_haartraining")
@@ -56,6 +55,7 @@ set_target_properties(opencv_haartraining PROPERTIES
 # -----------------------------------------------------------
 
 add_executable(opencv_createsamples cvhaartraining.h createsamples.cpp)
+target_link_libraries(opencv_createsamples ${OPENCV_HAARTRAINING_DEPS} opencv_haartraining_engine)
 set_target_properties(opencv_createsamples PROPERTIES
                       DEBUG_POSTFIX "${OPENCV_DEBUG_POSTFIX}"
                       OUTPUT_NAME "opencv_createsamples")
@@ -64,6 +64,7 @@ set_target_properties(opencv_createsamples PROPERTIES
 #  performance
 # -----------------------------------------------------------
 add_executable(opencv_performance performance.cpp)
+target_link_libraries(opencv_performance ${OPENCV_HAARTRAINING_DEPS} opencv_haartraining_engine)
 set_target_properties(opencv_performance PROPERTIES
                       DEBUG_POSTFIX "${OPENCV_DEBUG_POSTFIX}"
                       OUTPUT_NAME "opencv_performance")

apps/traincascade/CMakeLists.txt

@@ -26,7 +26,6 @@ set_target_properties(${the_target} PROPERTIES
                       DEBUG_POSTFIX "${OPENCV_DEBUG_POSTFIX}"
                       ARCHIVE_OUTPUT_DIRECTORY ${LIBRARY_OUTPUT_PATH}
                       RUNTIME_OUTPUT_DIRECTORY ${EXECUTABLE_OUTPUT_PATH}
-                      INSTALL_NAME_DIR lib
                       OUTPUT_NAME "opencv_traincascade")
 
 if(ENABLE_SOLUTION_FOLDERS)

apps/traincascade/cascadeclassifier.cpp

@@ -191,6 +191,7 @@ bool CvCascadeClassifier::train( const string _cascadeDirName,
     cascadeParams.printAttrs();
     stageParams->printAttrs();
     featureParams->printAttrs();
+    cout << "Number of unique features given windowSize [" << _cascadeParams.winSize.width << "," << _cascadeParams.winSize.height << "] : " << featureEvaluator->getNumFeatures() << "" << endl;
 
     int startNumStages = (int)stageClassifiers.size();
     if ( startNumStages > 1 )
@@ -336,7 +337,7 @@ int CvCascadeClassifier::fillPassedSamples( int first, int count, bool isPositiv
             consumed++;
 
             featureEvaluator->setImage( img, isPositive ? 1 : 0, i );
-            if( predict( i ) == 1.0F )
+            if( predict( i ) == 1 )
             {
                 getcount++;
                 printf("%s current samples: %d\r", isPositive ? "POS":"NEG", getcount);

apps/visualisation/CMakeLists.txt

@@ -0,0 +1,35 @@
+SET(OPENCV_VISUALISATION_DEPS opencv_core opencv_highgui opencv_imgproc)
+ocv_check_dependencies(${OPENCV_VISUALISATION_DEPS})
+
+if(NOT OCV_DEPENDENCIES_FOUND)
+   return()
+endif()
+
+project(visualisation)
+
+ocv_include_directories("${CMAKE_CURRENT_SOURCE_DIR}" "${OpenCV_SOURCE_DIR}/include/opencv")
+ocv_include_modules(${OPENCV_VISUALISATION_DEPS})
+
+set(visualisation_files opencv_visualisation.cpp)
+set(the_target opencv_visualisation)
+
+add_executable(${the_target} ${visualisation_files})
+target_link_libraries(${the_target} ${OPENCV_VISUALISATION_DEPS})
+
+set_target_properties(${the_target} PROPERTIES
+                      DEBUG_POSTFIX "${OPENCV_DEBUG_POSTFIX}"
+                      ARCHIVE_OUTPUT_DIRECTORY ${LIBRARY_OUTPUT_PATH}
+                      RUNTIME_OUTPUT_DIRECTORY ${EXECUTABLE_OUTPUT_PATH}
+                      OUTPUT_NAME "opencv_visualisation")
+
+if(ENABLE_SOLUTION_FOLDERS)
+   set_target_properties(${the_target} PROPERTIES FOLDER "applications")
+endif()
+
+if(INSTALL_CREATE_DISTRIB)
+   if(BUILD_SHARED_LIBS)
+      install(TARGETS ${the_target} RUNTIME DESTINATION ${OPENCV_BIN_INSTALL_PATH} CONFIGURATIONS Release COMPONENT dev)
+   endif()
+else()
+   install(TARGETS ${the_target} RUNTIME DESTINATION ${OPENCV_BIN_INSTALL_PATH} COMPONENT dev)
+endif()

apps/visualisation/opencv_visualisation.cpp

@@ -0,0 +1,350 @@
+////////////////////////////////////////////////////////////////////////////////////////
+//
+//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+//
+//  By downloading, copying, installing or using the software you agree to this license.
+//  If you do not agree to this license, do not download, install,
+//  copy or use the software.
+//
+//
+//                          License Agreement
+//                For Open Source Computer Vision Library
+//
+// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
+// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
+// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// Redistribution and use in source and binary forms, with or without modification,
+// are permitted provided that the following conditions are met:
+//
+//   * Redistribution's of source code must retain the above copyright notice,
+//     this list of conditions and the following disclaimer.
+//
+//   * Redistribution's in binary form must reproduce the above copyright notice,
+//     this list of conditions and the following disclaimer in the documentation
+//     and/or other materials provided with the distribution.
+//
+//   * The name of the copyright holders may not be used to endorse or promote products
+//     derived from this software without specific prior written permission.
+//
+// This software is provided by the copyright holders and contributors "as is" and
+// any express or implied warranties, including, but not limited to, the implied
+// warranties of merchantability and fitness for a particular purpose are disclaimed.
+// In no event shall the Intel Corporation or contributors be liable for any direct,
+// indirect, incidental, special, exemplary, or consequential damages
+// (including, but not limited to, procurement of substitute goods or services;
+// loss of use, data, or profits; or business interruption) however caused
+// and on any theory of liability, whether in contract, strict liability,
+// or tort (including negligence or otherwise) arising in any way out of
+// the use of this software, even if advised of the possibility of such damage.
+//
+////////////////////////////////////////////////////////////////////////////////////////
+
+/*****************************************************************************************************
+
+Software for visualising cascade classifier models trained by OpenCV and to get a better
+understanding of the used features.
+
+USAGE:
+./visualise_models -model <model.xml> -image <ref.png> -data <output folder>
+
+LIMITS
+- Use an absolute path for the output folder to ensure the tool works
+- Only handles cascade classifier models
+- Handles stumps only for the moment
+- Needs a valid training/test sample window with the original model dimensions, passed as `ref.png`
+- Can handle HAAR and LBP features
+
+Created by: Puttemans Steven - April 2016
+*****************************************************************************************************/
+
+#include <opencv2/core/core.hpp>
+#include <opencv2/highgui/highgui.hpp>
+#include <opencv2/imgproc/imgproc.hpp>
+
+#include <fstream>
+#include <iostream>
+
+using namespace std;
+using namespace cv;
+
+struct rect_data{
+    int x;
+    int y;
+    int w;
+    int h;
+    float weight;
+};
+
+int main( int argc, const char** argv )
+{
+    // Read in the input arguments
+    string model = "";
+    string output_folder = "";
+    string image_ref = "";
+    for(int i = 1; i < argc; ++i )
+    {
+        if( !strcmp( argv[i], "-model" ) )
+        {
+            model = argv[++i];
+        }else if( !strcmp( argv[i], "-image" ) ){
+            image_ref = argv[++i];
+        }else if( !strcmp( argv[i], "-data" ) ){
+            output_folder = argv[++i];
+        }
+    }
+
+    // Value for timing
+    // You can increase this to have a better visualisation during the generation
+    int timing = 1;
+
+    // Value for cols of storing elements
+    int cols_prefered = 5;
+
+    // Open the XML model
+    FileStorage fs;
+    fs.open(model, FileStorage::READ);
+
+    // Get a the required information
+    // First decide which feature type we are using
+    FileNode cascade = fs["cascade"];
+    string feature_type = cascade["featureType"];
+    bool haar = false, lbp = false;
+    if (feature_type.compare("HAAR") == 0){
+        haar = true;
+    }
+    if (feature_type.compare("LBP") == 0){
+        lbp = true;
+    }
+    if ( feature_type.compare("HAAR") != 0 && feature_type.compare("LBP")){
+        cerr << "The model is not an HAAR or LBP feature based model!" << endl;
+        cerr << "Please select a model that can be visualized by the software." << endl;
+        return -1;
+    }
+
+    // We make a visualisation mask - which increases the window to make it at least a bit more visible
+    int resize_factor = 10;
+    int resize_storage_factor = 10;
+    Mat reference_image = imread(image_ref, IMREAD_GRAYSCALE );
+    Mat visualization;
+    resize(reference_image, visualization, Size(reference_image.cols * resize_factor, reference_image.rows * resize_factor));
+
+    // First recover for each stage the number of weak features and their index
+    // Important since it is NOT sequential when using LBP features
+    vector< vector<int> > stage_features;
+    FileNode stages = cascade["stages"];
+    FileNodeIterator it_stages = stages.begin(), it_stages_end = stages.end();
+    int idx = 0;
+    for( ; it_stages != it_stages_end; it_stages++, idx++ ){
+        vector<int> current_feature_indexes;
+        FileNode weak_classifiers = (*it_stages)["weakClassifiers"];
+        FileNodeIterator it_weak = weak_classifiers.begin(), it_weak_end = weak_classifiers.end();
+        vector<int> values;
+        for(int idy = 0; it_weak != it_weak_end; it_weak++, idy++ ){
+            (*it_weak)["internalNodes"] >> values;
+            current_feature_indexes.push_back( (int)values[2] );
+        }
+        stage_features.push_back(current_feature_indexes);
+    }
+
+    // If the output option has been chosen than we will store a combined image plane for
+    // each stage, containing all weak classifiers for that stage.
+    bool draw_planes = false;
+    stringstream output_video;
+    output_video << output_folder << "model_visualization.avi";
+    VideoWriter result_video;
+    if( output_folder.compare("") != 0 ){
+        draw_planes = true;
+        result_video.open(output_video.str(), CV_FOURCC('X','V','I','D'), 15, Size(reference_image.cols * resize_factor, reference_image.rows * resize_factor), false);
+    }
+
+    if(haar){
+        // Grab the corresponding features dimensions and weights
+        FileNode features = cascade["features"];
+        vector< vector< rect_data > > feature_data;
+        FileNodeIterator it_features = features.begin(), it_features_end = features.end();
+        for(int idf = 0; it_features != it_features_end; it_features++, idf++ ){
+            vector< rect_data > current_feature_rectangles;
+            FileNode rectangles = (*it_features)["rects"];
+            int nrects = (int)rectangles.size();
+            for(int k = 0; k < nrects; k++){
+                rect_data current_data;
+                FileNode single_rect = rectangles[k];
+                current_data.x = (int)single_rect[0];
+                current_data.y = (int)single_rect[1];
+                current_data.w = (int)single_rect[2];
+                current_data.h = (int)single_rect[3];
+                current_data.weight = (float)single_rect[4];
+                current_feature_rectangles.push_back(current_data);
+            }
+            feature_data.push_back(current_feature_rectangles);
+        }
+
+        // Loop over each possible feature on its index, visualise on the mask and wait a bit,
+        // then continue to the next feature.
+        // If visualisations should be stored then do the in between calculations
+        Mat image_plane;
+        Mat metadata = Mat::zeros(150, 1000, CV_8UC1);
+        vector< rect_data > current_rects;
+        for(int sid = 0; sid < (int)stage_features.size(); sid ++){
+            if(draw_planes){
+                int features_nmbr = (int)stage_features[sid].size();
+                int cols = cols_prefered;
+                int rows = features_nmbr / cols;
+                if( (features_nmbr % cols) > 0){
+                    rows++;
+                }
+                image_plane = Mat::zeros(reference_image.rows * resize_storage_factor * rows, reference_image.cols * resize_storage_factor * cols, CV_8UC1);
+            }
+            for(int fid = 0; fid < (int)stage_features[sid].size(); fid++){
+                stringstream meta1, meta2;
+                meta1 << "Stage " << sid << " / Feature " << fid;
+                meta2 << "Rectangles: ";
+                Mat temp_window = visualization.clone();
+                Mat temp_metadata = metadata.clone();
+                int current_feature_index = stage_features[sid][fid];
+                current_rects = feature_data[current_feature_index];
+                Mat single_feature = reference_image.clone();
+                resize(single_feature, single_feature, Size(), resize_storage_factor, resize_storage_factor);
+                for(int i = 0; i < (int)current_rects.size(); i++){
+                    rect_data local = current_rects[i];
+                    if(draw_planes){
+                        if(local.weight >= 0){
+                            rectangle(single_feature, Rect(local.x * resize_storage_factor, local.y * resize_storage_factor, local.w * resize_storage_factor, local.h * resize_storage_factor), Scalar(0), CV_FILLED);
+                        }else{
+                            rectangle(single_feature, Rect(local.x * resize_storage_factor, local.y * resize_storage_factor, local.w * resize_storage_factor, local.h * resize_storage_factor), Scalar(255), CV_FILLED);
+                        }
+                    }
+                    Rect part(local.x * resize_factor, local.y * resize_factor, local.w * resize_factor, local.h * resize_factor);
+                    meta2 << part << " (w " << local.weight << ") ";
+                    if(local.weight >= 0){
+                        rectangle(temp_window, part, Scalar(0), CV_FILLED);
+                    }else{
+                        rectangle(temp_window, part, Scalar(255), CV_FILLED);
+                    }
+                }
+                imshow("features", temp_window);
+                putText(temp_window, meta1.str(), Point(15,15), FONT_HERSHEY_SIMPLEX, 0.5, Scalar(255));
+                result_video.write(temp_window);
+                // Copy the feature image if needed
+                if(draw_planes){
+                    single_feature.copyTo(image_plane(Rect(0 + (fid%cols_prefered)*single_feature.cols, 0 + (fid/cols_prefered) * single_feature.rows, single_feature.cols, single_feature.rows)));
+                }
+                putText(temp_metadata, meta1.str(), Point(15,15), FONT_HERSHEY_SIMPLEX, 0.5, Scalar(255));
+                putText(temp_metadata, meta2.str(), Point(15,40), FONT_HERSHEY_SIMPLEX, 0.5, Scalar(255));
+                imshow("metadata", temp_metadata);
+                waitKey(timing);
+            }
+            //Store the stage image if needed
+            if(draw_planes){
+                stringstream save_location;
+                save_location << output_folder << "stage_" << sid << ".png";
+                imwrite(save_location.str(), image_plane);
+            }
+        }
+    }
+
+    if(lbp){
+        // Grab the corresponding features dimensions and weights
+        FileNode features = cascade["features"];
+        vector<Rect> feature_data;
+        FileNodeIterator it_features = features.begin(), it_features_end = features.end();
+        for(int idf = 0; it_features != it_features_end; it_features++, idf++ ){
+            FileNode rectangle = (*it_features)["rect"];
+            Rect current_feature ((int)rectangle[0], (int)rectangle[1], (int)rectangle[2], (int)rectangle[3]);
+            feature_data.push_back(current_feature);
+        }
+
+        // Loop over each possible feature on its index, visualise on the mask and wait a bit,
+        // then continue to the next feature.
+        Mat image_plane;
+        Mat metadata = Mat::zeros(150, 1000, CV_8UC1);
+        for(int sid = 0; sid < (int)stage_features.size(); sid ++){
+            if(draw_planes){
+                int features_nmbr = (int)stage_features[sid].size();
+                int cols = cols_prefered;
+                int rows = features_nmbr / cols;
+                if( (features_nmbr % cols) > 0){
+                    rows++;
+                }
+                image_plane = Mat::zeros(reference_image.rows * resize_storage_factor * rows, reference_image.cols * resize_storage_factor * cols, CV_8UC1);
+            }
+            for(int fid = 0; fid < (int)stage_features[sid].size(); fid++){
+                stringstream meta1, meta2;
+                meta1 << "Stage " << sid << " / Feature " << fid;
+                meta2 << "Rectangle: ";
+                Mat temp_window = visualization.clone();
+                Mat temp_metadata = metadata.clone();
+                int current_feature_index = stage_features[sid][fid];
+                Rect current_rect = feature_data[current_feature_index];
+                Mat single_feature = reference_image.clone();
+                resize(single_feature, single_feature, Size(), resize_storage_factor, resize_storage_factor);
+
+                // VISUALISATION
+                // The rectangle is the top left one of a 3x3 block LBP constructor
+                Rect resized(current_rect.x * resize_factor, current_rect.y * resize_factor, current_rect.width * resize_factor, current_rect.height * resize_factor);
+                meta2 << resized;
+                // Top left
+                rectangle(temp_window, resized, Scalar(255), 1);
+                // Top middle
+                rectangle(temp_window, Rect(resized.x + resized.width, resized.y, resized.width, resized.height), Scalar(255), 1);
+                // Top right
+                rectangle(temp_window, Rect(resized.x + 2*resized.width, resized.y, resized.width, resized.height), Scalar(255), 1);
+                // Middle left
+                rectangle(temp_window, Rect(resized.x, resized.y + resized.height, resized.width, resized.height), Scalar(255), 1);
+                // Middle middle
+                rectangle(temp_window, Rect(resized.x + resized.width, resized.y + resized.height, resized.width, resized.height), Scalar(255), CV_FILLED);
+                // Middle right
+                rectangle(temp_window, Rect(resized.x + 2*resized.width, resized.y + resized.height, resized.width, resized.height), Scalar(255), 1);
+                // Bottom left
+                rectangle(temp_window, Rect(resized.x, resized.y + 2*resized.height, resized.width, resized.height), Scalar(255), 1);
+                // Bottom middle
+                rectangle(temp_window, Rect(resized.x + resized.width, resized.y + 2*resized.height, resized.width, resized.height), Scalar(255), 1);
+                // Bottom right
+                rectangle(temp_window, Rect(resized.x + 2*resized.width, resized.y + 2*resized.height, resized.width, resized.height), Scalar(255), 1);
+
+                if(draw_planes){
+                    Rect resized_inner(current_rect.x * resize_storage_factor, current_rect.y * resize_storage_factor, current_rect.width * resize_storage_factor, current_rect.height * resize_storage_factor);
+                    // Top left
+                    rectangle(single_feature, resized_inner, Scalar(255), 1);
+                    // Top middle
+                    rectangle(single_feature, Rect(resized_inner.x + resized_inner.width, resized_inner.y, resized_inner.width, resized_inner.height), Scalar(255), 1);
+                    // Top right
+                    rectangle(single_feature, Rect(resized_inner.x + 2*resized_inner.width, resized_inner.y, resized_inner.width, resized_inner.height), Scalar(255), 1);
+                    // Middle left
+                    rectangle(single_feature, Rect(resized_inner.x, resized_inner.y + resized_inner.height, resized_inner.width, resized_inner.height), Scalar(255), 1);
+                    // Middle middle
+                    rectangle(single_feature, Rect(resized_inner.x + resized_inner.width, resized_inner.y + resized_inner.height, resized_inner.width, resized_inner.height), Scalar(255), CV_FILLED);
+                    // Middle right
+                    rectangle(single_feature, Rect(resized_inner.x + 2*resized_inner.width, resized_inner.y + resized_inner.height, resized_inner.width, resized_inner.height), Scalar(255), 1);
+                    // Bottom left
+                    rectangle(single_feature, Rect(resized_inner.x, resized_inner.y + 2*resized_inner.height, resized_inner.width, resized_inner.height), Scalar(255), 1);
+                    // Bottom middle
+                    rectangle(single_feature, Rect(resized_inner.x + resized_inner.width, resized_inner.y + 2*resized_inner.height, resized_inner.width, resized_inner.height), Scalar(255), 1);
+                    // Bottom right
+                    rectangle(single_feature, Rect(resized_inner.x + 2*resized_inner.width, resized_inner.y + 2*resized_inner.height, resized_inner.width, resized_inner.height), Scalar(255), 1);
+
+                    single_feature.copyTo(image_plane(Rect(0 + (fid%cols_prefered)*single_feature.cols, 0 + (fid/cols_prefered) * single_feature.rows, single_feature.cols, single_feature.rows)));
+                }
+
+                putText(temp_metadata, meta1.str(), Point(15,15), FONT_HERSHEY_SIMPLEX, 0.5, Scalar(255));
+                putText(temp_metadata, meta2.str(), Point(15,40), FONT_HERSHEY_SIMPLEX, 0.5, Scalar(255));
+                imshow("metadata", temp_metadata);
+                imshow("features", temp_window);
+                putText(temp_window, meta1.str(), Point(15,15), FONT_HERSHEY_SIMPLEX, 0.5, Scalar(255));
+                result_video.write(temp_window);
+
+                waitKey(timing);
+            }
+
+            //Store the stage image if needed
+            if(draw_planes){
+                stringstream save_location;
+                save_location << output_folder << "stage_" << sid << ".png";
+                imwrite(save_location.str(), image_plane);
+            }
+        }
+    }
+    return 0;
+}

cmake/FindCUDA.cmake

@@ -639,13 +639,13 @@ mark_as_advanced(CUDA_TARGET_OS_VARIANT)
 # Target triplet
 if(DEFINED CUDA_TARGET_TRIPLET)
   set(_cuda_target_triplet_initial "${CUDA_TARGET_TRIPLET}")
-elseif(CUDA_VERSION VERSION_GREATER "5.0" AND CMAKE_CROSSCOMPILING AND "${CUDA_TARGET_CPU_ARCH}" STREQUAL "ARM")
+elseif(CUDA_VERSION VERSION_GREATER "5.0" AND CMAKE_CROSSCOMPILING AND "x${CUDA_TARGET_CPU_ARCH}" STREQUAL "xARM")
   if("${CUDA_TARGET_OS_VARIANT}" STREQUAL "Android" AND EXISTS "${CUDA_TOOLKIT_ROOT_DIR}/targets/armv7-linux-androideabi")
     set(_cuda_target_triplet_initial "armv7-linux-androideabi")
   elseif(EXISTS "${CUDA_TOOLKIT_ROOT_DIR}/targets/armv7-linux-gnueabihf")
     set(_cuda_target_triplet_initial "armv7-linux-gnueabihf")
   endif()
-elseif(CUDA_VERSION VERSION_GREATER "6.5" AND CMAKE_CROSSCOMPILING AND "${CUDA_TARGET_CPU_ARCH}" STREQUAL "AARCH64")
+elseif(CUDA_VERSION VERSION_GREATER "6.5" AND CMAKE_CROSSCOMPILING AND "x${CUDA_TARGET_CPU_ARCH}" STREQUAL "xAARCH64")
   if("${CUDA_TARGET_OS_VARIANT}" STREQUAL "Android" AND EXISTS "${CUDA_TOOLKIT_ROOT_DIR}/targets/aarch64-linux-androideabi")
     set(_cuda_target_triplet_initial "aarch64-linux-androideabi")
   elseif(EXISTS "${CUDA_TOOLKIT_ROOT_DIR}/targets/aarch64-linux-gnueabihf")

cmake/OpenCVCompilerOptions.cmake

@@ -320,5 +320,8 @@ if(MSVC)
 
   if(NOT ENABLE_NOISY_WARNINGS)
     set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /wd4251") #class 'std::XXX' needs to have dll-interface to be used by clients of YYY
+    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /wd4275") # non dll-interface class 'std::exception' used as base for dll-interface class 'cv::Exception'
+    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /wd4589") # Constructor of abstract class ... ignores initializer for virtual base class 'cv::Algorithm'
+    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /wd4359") # Alignment specifier is less than actual alignment (4), and will be ignored
   endif()
 endif()

cmake/OpenCVDetectAndroidSDK.cmake

@@ -349,7 +349,7 @@ macro(add_android_project target path)
     if(android_proj_IGNORE_JAVA)
       add_custom_command(
          OUTPUT "${android_proj_bin_dir}/bin/${target}-debug.apk"
-         COMMAND ${ANT_EXECUTABLE} -q -noinput -k debug
+         COMMAND ${ANT_EXECUTABLE} -q -noinput -k debug -Djava.target=1.6 -Djava.source=1.6
          COMMAND ${CMAKE_COMMAND} -E touch "${android_proj_bin_dir}/bin/${target}-debug.apk" # needed because ant does not update the timestamp of updated apk
          WORKING_DIRECTORY "${android_proj_bin_dir}"
          MAIN_DEPENDENCY "${android_proj_bin_dir}/${ANDROID_MANIFEST_FILE}"
@@ -357,7 +357,7 @@ macro(add_android_project target path)
     else()
       add_custom_command(
          OUTPUT "${android_proj_bin_dir}/bin/${target}-debug.apk"
-         COMMAND ${ANT_EXECUTABLE} -q -noinput -k debug
+         COMMAND ${ANT_EXECUTABLE} -q -noinput -k debug -Djava.target=1.6 -Djava.source=1.6
          COMMAND ${CMAKE_COMMAND} -E touch "${android_proj_bin_dir}/bin/${target}-debug.apk" # needed because ant does not update the timestamp of updated apk
          WORKING_DIRECTORY "${android_proj_bin_dir}"
          MAIN_DEPENDENCY "${android_proj_bin_dir}/${ANDROID_MANIFEST_FILE}"

cmake/OpenCVDetectCUDA.cmake

@@ -35,7 +35,18 @@ if(CUDA_FOUND)
 
   if(WITH_NVCUVID)
     find_cuda_helper_libs(nvcuvid)
-    set(HAVE_NVCUVID 1)
+
+    if(WIN32)
+      find_cuda_helper_libs(nvcuvenc)
+    endif()
+
+    if(CUDA_nvcuvid_LIBRARY)
+      set(HAVE_NVCUVID 1)
+    endif()
+
+    if(CUDA_nvcuvenc_LIBRARY)
+      set(HAVE_NVCUVENC 1)
+    endif()
   endif()
 
   message(STATUS "CUDA detected: " ${CUDA_VERSION})

cmake/OpenCVDetectTBB.cmake

@@ -65,6 +65,8 @@ if(NOT HAVE_TBB)
           set(_TBB_LIB_PATH "${_TBB_LIB_PATH}/vc11")
         elseif(MSVC12)
           set(_TBB_LIB_PATH "${_TBB_LIB_PATH}/vc12")
+        elseif(MSVC14)
+          set(_TBB_LIB_PATH "${_TBB_LIB_PATH}/vc14")
         endif()
         set(TBB_LIB_DIR "${_TBB_LIB_PATH}" CACHE PATH "Full path of TBB library directory")
         link_directories("${TBB_LIB_DIR}")

cmake/OpenCVDetectVTK.cmake

@@ -1,9 +1,16 @@
-if(NOT WITH_VTK OR ANDROID OR IOS)
+if(NOT WITH_VTK)
   return()
 endif()
 
 # VTK 6.x components
-find_package(VTK QUIET COMPONENTS vtkRenderingOpenGL vtkInteractionStyle vtkRenderingLOD vtkIOPLY vtkFiltersTexture vtkRenderingFreeType vtkIOExport NO_MODULE)
+find_package(VTK QUIET COMPONENTS vtkInteractionStyle vtkRenderingLOD vtkIOPLY vtkFiltersTexture vtkRenderingFreeType vtkIOExport NO_MODULE)
+IF(VTK_FOUND)
+  IF(VTK_RENDERING_BACKEND) #in vtk 7, the rendering backend is exported as a var.
+      find_package(VTK QUIET COMPONENTS vtkRendering${VTK_RENDERING_BACKEND} vtkInteractionStyle vtkRenderingLOD vtkIOPLY vtkFiltersTexture vtkRenderingFreeType vtkIOExport NO_MODULE)
+  ELSE(VTK_RENDERING_BACKEND)
+      find_package(VTK QUIET COMPONENTS vtkRenderingOpenGL vtkInteractionStyle vtkRenderingLOD vtkIOPLY vtkFiltersTexture vtkRenderingFreeType vtkIOExport NO_MODULE)
+  ENDIF(VTK_RENDERING_BACKEND)
+ENDIF(VTK_FOUND)
 
 # VTK 5.x components
 if(NOT VTK_FOUND)

cmake/OpenCVModule.cmake

@@ -594,7 +594,6 @@ macro(ocv_create_module)
     ARCHIVE_OUTPUT_DIRECTORY ${LIBRARY_OUTPUT_PATH}
     LIBRARY_OUTPUT_DIRECTORY ${LIBRARY_OUTPUT_PATH}
     RUNTIME_OUTPUT_DIRECTORY ${EXECUTABLE_OUTPUT_PATH}
-    INSTALL_NAME_DIR lib
   )
 
   # For dynamic link numbering convenions

cmake/OpenCVPCHSupport.cmake

@@ -51,6 +51,25 @@ MACRO(_PCH_GET_COMPILE_FLAGS _out_compile_flags)
       ENDIF()
     endif()
 
+    IF(CMAKE_COMPILER_IS_GNUCXX)
+
+        GET_PROPERTY(_definitions DIRECTORY PROPERTY COMPILE_DEFINITIONS)
+        if(_definitions)
+          foreach(_def ${_definitions})
+            LIST(APPEND ${_out_compile_flags} "\"-D${_def}\"")
+          endforeach()
+        endif()
+        GET_TARGET_PROPERTY(_target_definitions ${_PCH_current_target} COMPILE_DEFINITIONS)
+        if(_target_definitions)
+          foreach(_def ${_target_definitions})
+            LIST(APPEND ${_out_compile_flags} "\"-D${_def}\"")
+          endforeach()
+        endif()
+
+    ELSE()
+        ## TODO ... ? or does it work out of the box
+    ENDIF()
+
     GET_DIRECTORY_PROPERTY(DIRINC INCLUDE_DIRECTORIES )
     FOREACH(item ${DIRINC})
         if(item MATCHES "^${OpenCV_SOURCE_DIR}/modules/")
@@ -60,11 +79,15 @@ MACRO(_PCH_GET_COMPILE_FLAGS _out_compile_flags)
         endif()
     ENDFOREACH(item)
 
-    GET_DIRECTORY_PROPERTY(_directory_flags DEFINITIONS)
-    GET_DIRECTORY_PROPERTY(_global_definitions DIRECTORY ${OpenCV_SOURCE_DIR} DEFINITIONS)
-    #MESSAGE("_directory_flags ${_directory_flags} ${_global_definitions}" )
-    LIST(APPEND ${_out_compile_flags} ${_directory_flags})
-    LIST(APPEND ${_out_compile_flags} ${_global_definitions})
+    get_target_property(DIRINC ${_PCH_current_target} INCLUDE_DIRECTORIES )
+    FOREACH(item ${DIRINC})
+        if(item MATCHES "^${OpenCV_SOURCE_DIR}/modules/")
+          LIST(APPEND ${_out_compile_flags} "${_PCH_include_prefix}\"${item}\"")
+        else()
+          LIST(APPEND ${_out_compile_flags} "${_PCH_isystem_prefix}\"${item}\"")
+        endif()
+    ENDFOREACH(item)
+
     LIST(APPEND ${_out_compile_flags} ${CMAKE_CXX_FLAGS})
 
     SEPARATE_ARGUMENTS(${_out_compile_flags})
@@ -146,9 +169,9 @@ MACRO(_PCH_GET_TARGET_COMPILE_FLAGS _cflags  _header_name _pch_path _dowarn )
         # if you have different versions of the headers for different build types
         # you may set _pch_dowarn
         IF (_dowarn)
-            set(${_cflags} "${PCH_ADDITIONAL_COMPILER_FLAGS} -Winvalid-pch")
+            SET(${_cflags} "${PCH_ADDITIONAL_COMPILER_FLAGS} -Winvalid-pch " )
         ELSE (_dowarn)
-            set(${_cflags} "${PCH_ADDITIONAL_COMPILER_FLAGS}")
+            SET(${_cflags} "${PCH_ADDITIONAL_COMPILER_FLAGS} " )
         ENDIF (_dowarn)
 
     ELSE(CMAKE_COMPILER_IS_GNUCXX)
@@ -246,12 +269,15 @@ MACRO(ADD_PRECOMPILED_HEADER _targetName _input)
         endif()
     endif()
 
+    get_target_property(DIRINC ${_targetName} INCLUDE_DIRECTORIES)
+    set_target_properties(${_targetName}_pch_dephelp PROPERTIES INCLUDE_DIRECTORIES "${DIRINC}")
+
     #MESSAGE("_compile_FLAGS: ${_compile_FLAGS}")
     #message("COMMAND ${CMAKE_CXX_COMPILER}	${_compile_FLAGS} -x c++-header -o ${_output} ${_input}")
 
     ADD_CUSTOM_COMMAND(
       OUTPUT "${CMAKE_CURRENT_BINARY_DIR}/${_name}"
-      COMMAND ${CMAKE_COMMAND} -E copy  "${_input}" "${CMAKE_CURRENT_BINARY_DIR}/${_name}" # ensure same directory! Required by gcc
+      COMMAND ${CMAKE_COMMAND} -E copy_if_different "${_input}" "${CMAKE_CURRENT_BINARY_DIR}/${_name}" # ensure same directory! Required by gcc
       DEPENDS "${_input}"
       )
 

cmake/OpenCVPackaging.cmake

@@ -19,6 +19,9 @@ OpenCV makes it easy for businesses to utilize and modify the code.")
   set(CPACK_PACKAGE_VERSION_MINOR "${OPENCV_VERSION_MINOR}")
   set(CPACK_PACKAGE_VERSION_PATCH "${OPENCV_VERSION_PATCH}")
   set(CPACK_PACKAGE_VERSION "${OPENCV_VCSVERSION}")
+  if (NOT "${OPENCV_VCSVERSION}" MATCHES "^${OPENCV_VERSION}.*")
+    message(WARNING "CPACK_PACKAGE_VERSION does not match version provided by version.hpp header!")
+  endif()
   set(OPENCV_DEBIAN_COPYRIGHT_FILE "")
 endif(NOT OPENCV_CUSTOM_PACKAGE_INFO)
 
@@ -86,7 +89,7 @@ set(CPACK_COMPONENT_PYTHON_DEPENDS libs)
 set(CPACK_DEB_PYTHON_PACKAGE_DEPENDS "python-numpy (>=${PYTHON_NUMPY_VERSION}), python${PYTHON_VERSION_MAJOR_MINOR}")
 set(CPACK_COMPONENT_TESTS_DEPENDS libs)
 if (HAVE_opencv_python)
-  set(CPACK_DEB_TESTS_PACKAGE_DEPENDS "python-numpy (>=${PYTHON_NUMPY_VERSION}), python${PYTHON_VERSION_MAJOR_MINOR}, python-py | python-pytest")
+  set(CPACK_DEB_TESTS_PACKAGE_DEPENDS "python-numpy (>=${PYTHON_NUMPY_VERSION}), python${PYTHON_VERSION_MAJOR_MINOR}")
 endif()
 
 if(HAVE_CUDA)
@@ -178,6 +181,124 @@ if(NOT OPENCV_CUSTOM_PACKAGE_INFO)
   set(CPACK_DEBIAN_COMPONENT_TESTS_SECTION "misc")
 endif(NOT OPENCV_CUSTOM_PACKAGE_INFO)
 
+set(CPACK_DEBIAN_COMPONENT_DOCS_ARCHITECTURE "all")
+
+# lintian stuff
+
+#
+# ocv_generate_lintian_overrides_file: generates lintian overrides file for
+#   the specified component (deb-package). It's assumed that <comp>_LINTIAN_OVERRIDES
+#   variable with suppressed tags is defined.
+#
+# Usage: ocv_generate_lintian_overrides_file(<component name>)
+#
+
+function(ocv_generate_lintian_overrides_file comp)
+    string(TOUPPER ${comp} comp_upcase)
+
+    set(package_name ${CPACK_DEBIAN_COMPONENT_${comp_upcase}_NAME})
+    set(suppressions ${${comp_upcase}_LINTIAN_OVERRIDES})
+
+    if(suppressions)
+        if(NOT package_name)
+            message(FATAL_ERROR "Package name for the ${comp} component is not defined")
+        endif()
+
+        # generate content of lintian overrides file
+
+        foreach(suppression ${suppressions})
+            set(line "${package_name}: ${suppression}")
+            if(content)
+                set(content "${content}\n${line}")
+            else()
+                set(content "${line}")
+            endif()
+        endforeach()
+
+        # create file and install it
+        set(cpack_tmp_dir "${CMAKE_BINARY_DIR}/deb-packages-gen/${comp}")
+        set(overrides_filename "${cpack_tmp_dir}/${package_name}")
+
+        file(WRITE "${overrides_filename}" "${content}")
+
+        # install generated file
+        install(FILES "${overrides_filename}"
+            DESTINATION share/lintian/overrides/
+            COMPONENT ${comp})
+
+        unset(content)
+    endif()
+endfunction()
+
+function(ocv_get_lintian_version version)
+    find_program(LINTIAN_EXECUTABLE lintian)
+
+    if(NOT LINTIAN_EXECUTABLE)
+        return()
+    endif()
+
+    execute_process(COMMAND ${LINTIAN_EXECUTABLE} --version
+              WORKING_DIRECTORY ${CMAKE_BINARY_DIR}
+              RESULT_VARIABLE LINTIAN_EXITCODE
+              OUTPUT_VARIABLE LINTIAN_VERSION
+              ERROR_QUIET)
+
+    if(NOT LINTIAN_EXITCODE EQUAL 0)
+        return()
+    endif()
+
+    if(LINTIAN_VERSION MATCHES "([0-9]+\\.[0-9]+\\.[0-9]+)")
+        set(LINTIAN_VERSION "${CMAKE_MATCH_1}" CACHE INTERNAL "Lintian version")
+    endif()
+
+    set("${version}" "${LINTIAN_VERSION}" PARENT_SCOPE)
+endfunction()
+
+ocv_get_lintian_version(LINTIAN_VERSION)
+
+set(LIBS_LINTIAN_OVERRIDES "binary-or-shlib-defines-rpath" # usr/lib/libopencv_core.so.2.4.12
+                           "package-name-doesnt-match-sonames") # libopencv-calib3d2.4 libopencv-contrib2.4
+
+if(HAVE_opencv_python)
+    set(PYTHON_LINTIAN_OVERRIDES "binary-or-shlib-defines-rpath" # usr/lib/python2.7/dist-packages/cv2.so
+                                 "missing-dependency-on-numpy-abi")
+else()
+    set(PYTHON_LINTIAN_OVERRIDES "empty-binary-package") # python module is off
+endif()
+
+if(NOT HAVE_opencv_java)
+    set(JAVA_LINTIAN_OVERRIDES "empty-binary-package") # Java is off
+else()
+    # TODO: add smht here
+endif()
+
+set(DEV_LINTIAN_OVERRIDES "binary-or-shlib-defines-rpath" # usr/bin/opencv_traincascade
+                          "binary-without-manpage") # usr/bin/opencv_traincascade
+
+if(LINTIAN_VERSION VERSION_GREATER "2.5.30" OR
+    LINTIAN_VERSION VERSION_EQUAL "2.5.30")
+    list(APPEND DEV_LINTIAN_OVERRIDES "pkg-config-bad-directive") # usr/lib/pkgconfig/opencv.pc -L/usr/local/cuda-7.0/lib64
+endif()
+
+if(NOT INSTALL_C_EXAMPLES)
+    set(SAMPLES_LINTIAN_OVERRIDES "empty-binary-package") # samples are not installed
+endif()
+
+if(INSTALL_TESTS)
+    set(TESTS_LINTIAN_OVERRIDES "arch-dependent-file-in-usr-share" # usr/share/OpenCV/bin/opencv_test_ml
+                                "binary-or-shlib-defines-rpath" # usr/share/OpenCV/bin/opencv_test_ml
+                                "python-script-but-no-python-dep") # usr/share/OpenCV/bin/calchist.py
+else()
+    set(TESTS_LINTIAN_OVERRIDES "empty-binary-package") # there is no tests
+endif()
+
+set(ALL_COMPONENTS "libs" "dev" "docs" "python" "java" "samples" "tests")
+
+foreach (comp ${ALL_COMPONENTS})
+    string(TOUPPER ${comp} comp_upcase)
+    list(APPEND ${comp_upcase}_LINTIAN_OVERRIDES "misplaced-extra-member-in-deb") # for signed packages
+endforeach()
+
 if(CPACK_GENERATOR STREQUAL "DEB")
   find_program(GZIP_TOOL NAMES "gzip" PATHS "/bin" "/usr/bin" "/usr/local/bin")
   if(NOT GZIP_TOOL)
@@ -189,9 +310,9 @@ if(CPACK_GENERATOR STREQUAL "DEB")
                   OUTPUT_STRIP_TRAILING_WHITESPACE)
 
   set(CHANGELOG_PACKAGE_VERSION "${CPACK_PACKAGE_VERSION}")
-  set(ALL_COMPONENTS "libs" "dev" "docs" "python" "java" "samples" "tests")
   foreach (comp ${ALL_COMPONENTS})
     string(TOUPPER "${comp}" comp_upcase)
+
     set(DEBIAN_CHANGELOG_OUT_FILE    "${CMAKE_BINARY_DIR}/deb-packages-gen/${comp}/changelog.Debian")
     set(DEBIAN_CHANGELOG_OUT_FILE_GZ "${CMAKE_BINARY_DIR}/deb-packages-gen/${comp}/changelog.Debian.gz")
     set(CHANGELOG_PACKAGE_NAME "${CPACK_DEBIAN_COMPONENT_${comp_upcase}_NAME}")
@@ -223,6 +344,8 @@ if(CPACK_GENERATOR STREQUAL "DEB")
                 COMPONENT "${comp}")
     endif()
 
+    ocv_generate_lintian_overrides_file("${comp}")
+
   endforeach()
 endif()
 

cmake/templates/cvconfig.h.in

@@ -109,6 +109,9 @@
 /* NVidia Video Decoding API*/
 #cmakedefine HAVE_NVCUVID
 
+/* NVidia Video Encoding API*/
+#cmakedefine HAVE_NVCUVENC
+
 /* OpenCL Support */
 #cmakedefine HAVE_OPENCL
 #cmakedefine HAVE_OPENCL_STATIC

cmake/templates/opencv_run_all_tests_unix.sh.in

@@ -107,7 +107,7 @@ for t in $OPENCV_PYTHON_TESTS;
 do
     test_name=`basename "$t"`
 
-    cmd="py.test --junitxml $test_name.xml \"$OPENCV_TEST_PATH\"/$t"
+    cmd="python \"$OPENCV_TEST_PATH\"/$t -v"
 
     seg_reg="s/^/${TEXT_CYAN}[$test_name]${TEXT_RESET} /"                 # append test name
 

data/CMakeLists.txt

@@ -18,5 +18,37 @@ if(INSTALL_TESTS AND OPENCV_TEST_DATA_PATH)
             DIRECTORY_PERMISSIONS OWNER_WRITE OWNER_READ OWNER_EXECUTE
               GROUP_READ GROUP_EXECUTE WORLD_READ WORLD_EXECUTE
             DESTINATION share/OpenCV/testdata COMPONENT tests)
+    if(BUILD_opencv_python)
+	  file(GLOB DATAFILES_CPP ../samples/cpp/left*.jpg)
+      list(APPEND DATAFILES_CPP
+          "../samples/cpp/board.jpg"
+          "../samples/cpp/pic1.png"
+          "../samples/cpp/pic6.png"
+          "../samples/cpp/right01.jpg"
+          "../samples/cpp/right02.jpg"
+          "../samples/cpp/building.jpg"
+          "../samples/cpp/tsukuba_l.png"
+          "../samples/cpp/tsukuba_r.png"
+          "../samples/cpp/letter-recognition.data")
+      install(FILES ${DATAFILES_CPP} DESTINATION share/OpenCV/testdata/samples/cpp COMPONENT tests)
+      set(DATAFILES_C
+          "../samples/c/lena.jpg"
+          "../samples/c/box.png")
+      install(FILES ${DATAFILES_C} DESTINATION share/OpenCV/testdata/samples/c COMPONENT tests)
+      set(DATAFILES_GPU
+          "../samples/gpu/basketball1.png"
+          "../samples/gpu/basketball2.png"
+          "../samples/gpu/rubberwhale1.png")
+      install(FILES ${DATAFILES_GPU} DESTINATION share/OpenCV/testdata/samples/gpu COMPONENT tests)
+      set(DATAFILES_PYTHON
+          "../samples/python2/data/graf1.png"
+          "../samples/python2/data/pca_test1.jpg"
+          "../samples/python2/data/digits.png")
+      install(FILES ${DATAFILES_PYTHON} DESTINATION share/OpenCV/testdata/samples/python2/data COMPONENT tests)
+      set(DATAFILES_CASCADES
+          "haarcascades/haarcascade_frontalface_alt.xml"
+          "haarcascades/haarcascade_eye.xml")
+      install(FILES ${DATAFILES_CASCADES} DESTINATION share/OpenCV/testdata/data/haarcascades COMPONENT tests)
+    endif()
   endif()
 endif()

include/opencv2/opencv.hpp

@@ -43,19 +43,41 @@
 #ifndef __OPENCV_ALL_HPP__
 #define __OPENCV_ALL_HPP__
 
+#include "opencv2/opencv_modules.hpp"
+
 #include "opencv2/core/core_c.h"
 #include "opencv2/core/core.hpp"
+#ifdef HAVE_OPENCV_FLANN
 #include "opencv2/flann/miniflann.hpp"
+#endif
+#ifdef HAVE_OPENCV_IMGPROC
 #include "opencv2/imgproc/imgproc_c.h"
 #include "opencv2/imgproc/imgproc.hpp"
+#endif
+#ifdef HAVE_OPENCV_PHOTO
 #include "opencv2/photo/photo.hpp"
+#endif
+#ifdef HAVE_OPENCV_VIDEO
 #include "opencv2/video/video.hpp"
+#endif
+#ifdef HAVE_OPENCV_FEATURES2D
 #include "opencv2/features2d/features2d.hpp"
+#endif
+#ifdef HAVE_OPENCV_OBJDETECT
 #include "opencv2/objdetect/objdetect.hpp"
+#endif
+#ifdef HAVE_OPENCV_CALIB3D
 #include "opencv2/calib3d/calib3d.hpp"
+#endif
+#ifdef HAVE_OPENCV_ML
 #include "opencv2/ml/ml.hpp"
+#endif
+#ifdef HAVE_OPENCV_HIGHGUI
 #include "opencv2/highgui/highgui_c.h"
 #include "opencv2/highgui/highgui.hpp"
+#endif
+#ifdef HAVE_OPENCV_CONTRIB
 #include "opencv2/contrib/contrib.hpp"
+#endif
 
 #endif

modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst

@@ -657,7 +657,7 @@ Calculates a fundamental matrix from the corresponding points in two images.
 
     :param param2: Parameter used for the RANSAC or LMedS methods only. It specifies a desirable level of confidence (probability) that the estimated matrix is correct.
 
-    :param status: Output array of N elements, every element of which is set to 0 for outliers and to 1 for the other points. The array is computed only in the RANSAC and LMedS methods. For other methods, it is set to all 1's.
+    :param mask: Output array of N elements, every element of which is set to 0 for outliers and to 1 for the other points. The array is computed only in the RANSAC and LMedS methods. For other methods, it is set to all 1's.
 
 The epipolar geometry is described by the following equation:
 

modules/calib3d/src/fisheye.cpp

@@ -794,8 +794,42 @@ double cv::fisheye::calibrate(InputArrayOfArrays objectPoints, InputArrayOfArray
 
     if (K.needed()) cv::Mat(_K).convertTo(K, K.empty() ? CV_64FC1 : K.type());
     if (D.needed()) cv::Mat(finalParam.k).convertTo(D, D.empty() ? CV_64FC1 : D.type());
-    if (rvecs.needed()) cv::Mat(omc).convertTo(rvecs, rvecs.empty() ? CV_64FC3 : rvecs.type());
-    if (tvecs.needed()) cv::Mat(Tc).convertTo(tvecs, tvecs.empty() ? CV_64FC3 : tvecs.type());
+
+    if (rvecs.needed())
+    {
+        if( rvecs.kind() == _InputArray::STD_VECTOR_MAT )
+        {
+            rvecs.create((int)objectPoints.total(), 1, CV_64FC3);
+            for( int i = 0; i < (int)objectPoints.total(); i++ )
+            {
+                rvecs.create(3, 1, CV_64F, i, true);
+                Mat rv = rvecs.getMat(i);
+                *rv.ptr<Vec3d>(0) = omc[i];
+            }
+        }
+        else
+        {
+            cv::Mat(omc).convertTo(rvecs, rvecs.fixedType() ? rvecs.type() : CV_64FC3);
+        }
+    }
+
+    if (tvecs.needed())
+    {
+        if( tvecs.kind() == _InputArray::STD_VECTOR_MAT )
+        {
+            tvecs.create((int)objectPoints.total(), 1, CV_64FC3);
+            for( int i = 0; i < (int)objectPoints.total(); i++ )
+            {
+                tvecs.create(3, 1, CV_64F, i, true);
+                Mat tv = tvecs.getMat(i);
+                *tv.ptr<Vec3d>(0) = Tc[i];
+            }
+        }
+        else
+        {
+            cv::Mat(Tc).convertTo(tvecs, tvecs.fixedType() ? tvecs.type() : CV_64FC3);
+        }
+    }
 
     return rms;
 }

modules/calib3d/src/solvepnp.cpp

@@ -197,7 +197,7 @@ namespace cv
             }
 
             resultsMutex.lock();
-            if ( (localInliers.size() > inliers.size()) || (localInliers.size() == inliers.size() && curIndex > bestIndex))
+            if ( (localInliers.size() > inliers.size()) || (localInliers.size() == inliers.size() && inliers.size() > 0 && curIndex > bestIndex))
             {
                 inliers.clear();
                 inliers.resize(localInliers.size());

modules/calib3d/src/stereobm.cpp

@@ -344,7 +344,7 @@ static void findStereoCorrespondenceBM_SSE2( const Mat& left, const Mat& right,
     {
         hsad = hsad0 - dy0*ndisp; cbuf = cbuf0 + (x + wsz2 + 1)*cstep - dy0*ndisp;
         lptr = lptr0 + MIN(MAX(x, -lofs), width-lofs-1) - dy0*sstep;
-        rptr = rptr0 + MIN(MAX(x, -rofs), width-rofs-1) - dy0*sstep;
+        rptr = rptr0 + MIN(MAX(x, -rofs), width-rofs-ndisp) - dy0*sstep;
 
         for( y = -dy0; y < height + dy1; y++, hsad += ndisp, cbuf += ndisp, lptr += sstep, rptr += sstep )
         {
@@ -385,7 +385,7 @@ static void findStereoCorrespondenceBM_SSE2( const Mat& left, const Mat& right,
         hsad = hsad0 - dy0*ndisp;
         lptr_sub = lptr0 + MIN(MAX(x0, -lofs), width-1-lofs) - dy0*sstep;
         lptr = lptr0 + MIN(MAX(x1, -lofs), width-1-lofs) - dy0*sstep;
-        rptr = rptr0 + MIN(MAX(x1, -rofs), width-1-rofs) - dy0*sstep;
+        rptr = rptr0 + MIN(MAX(x1, -rofs), width-ndisp-rofs) - dy0*sstep;
 
         for( y = -dy0; y < height + dy1; y++, cbuf += ndisp, cbuf_sub += ndisp,
              hsad += ndisp, lptr += sstep, lptr_sub += sstep, rptr += sstep )
@@ -610,7 +610,7 @@ findStereoCorrespondenceBM( const Mat& left, const Mat& right,
     {
         hsad = hsad0 - dy0*ndisp; cbuf = cbuf0 + (x + wsz2 + 1)*cstep - dy0*ndisp;
         lptr = lptr0 + std::min(std::max(x, -lofs), width-lofs-1) - dy0*sstep;
-        rptr = rptr0 + std::min(std::max(x, -rofs), width-rofs-1) - dy0*sstep;
+        rptr = rptr0 + std::min(std::max(x, -rofs), width-rofs-ndisp) - dy0*sstep;
 
         for( y = -dy0; y < height + dy1; y++, hsad += ndisp, cbuf += ndisp, lptr += sstep, rptr += sstep )
         {
@@ -661,7 +661,7 @@ findStereoCorrespondenceBM( const Mat& left, const Mat& right,
         hsad = hsad0 - dy0*ndisp;
         lptr_sub = lptr0 + MIN(MAX(x0, -lofs), width-1-lofs) - dy0*sstep;
         lptr = lptr0 + MIN(MAX(x1, -lofs), width-1-lofs) - dy0*sstep;
-        rptr = rptr0 + MIN(MAX(x1, -rofs), width-1-rofs) - dy0*sstep;
+        rptr = rptr0 + MIN(MAX(x1, -rofs), width-ndisp-rofs) - dy0*sstep;
 
         for( y = -dy0; y < height + dy1; y++, cbuf += ndisp, cbuf_sub += ndisp,
              hsad += ndisp, lptr += sstep, lptr_sub += sstep, rptr += sstep )

modules/calib3d/src/stereosgbm.cpp

@@ -99,7 +99,7 @@ StereoSGBM::~StereoSGBM()
 }
 
 /*
- For each pixel row1[x], max(-maxD, 0) <= minX <= x < maxX <= width - max(0, -minD),
+ For each pixel row1[x], max(-maxD, 0) <= minX <= x < maxX <= width - max(0, minD),
  and for each disparity minD<=d<maxD the function
  computes the cost (cost[(x-minX)*(maxD - minD) + (d - minD)]), depending on the difference between
  row1[x] and row2[x-d]. The subpixel algorithm from
@@ -114,8 +114,8 @@ static void calcPixelCostBT( const Mat& img1, const Mat& img2, int y,
                             int tabOfs, int )
 {
     int x, c, width = img1.cols, cn = img1.channels();
-    int minX1 = max(-maxD, 0), maxX1 = width + min(minD, 0);
-    int minX2 = max(minX1 - maxD, 0), maxX2 = min(maxX1 - minD, width);
+    int minX1 = max(-maxD, 0), maxX1 = width + min(-minD, 0);
+    int minX2 = max(minX1 + minD, 0), maxX2 = min(maxX1 + maxD, width);
     int D = maxD - minD, width1 = maxX1 - minX1, width2 = maxX2 - minX2;
     const PixType *row1 = img1.ptr<PixType>(y), *row2 = img2.ptr<PixType>(y);
     PixType *prow1 = buffer + width2*2, *prow2 = prow1 + width*cn*2;
@@ -200,6 +200,19 @@ static void calcPixelCostBT( const Mat& img1, const Mat& img2, int y,
             int u0 = min(ul, ur); u0 = min(u0, u);
             int u1 = max(ul, ur); u1 = max(u1, u);
 
+            int minDlocal = max(minD, x-width+1);
+            int maxDlocal = min(maxD, x);
+            int d;
+            for( d = minD; d < minDlocal; d++ )
+            {
+                int v = prow2[0];
+                int v0 = buffer[0];
+                int v1 = buffer[width2];
+                int c0 = max(0, u - v1); c0 = max(c0, v0 - u);
+                int c1 = max(0, v - u1); c1 = max(c1, u0 - v);
+
+                cost[x*D + d] = (CostType)(cost[x*D+d] + (min(c0, c1) >> diff_scale));
+            }
         #if CV_SSE2
             if( useSIMD )
             {
@@ -207,7 +220,7 @@ static void calcPixelCostBT( const Mat& img1, const Mat& img2, int y,
                 __m128i _u1 = _mm_set1_epi8((char)u1), z = _mm_setzero_si128();
                 __m128i ds = _mm_cvtsi32_si128(diff_scale);
 
-                for( int d = minD; d < maxD; d += 16 )
+                for( ; d < maxDlocal - 15; d += 16 )
                 {
                     __m128i _v = _mm_loadu_si128((const __m128i*)(prow2 + width-x-1 + d));
                     __m128i _v0 = _mm_loadu_si128((const __m128i*)(buffer + width-x-1 + d));
@@ -223,19 +236,26 @@ static void calcPixelCostBT( const Mat& img1, const Mat& img2, int y,
                     _mm_store_si128((__m128i*)(cost + x*D + d + 8), _mm_adds_epi16(c1, _mm_srl_epi16(_mm_unpackhi_epi8(diff,z), ds)));
                 }
             }
-            else
         #endif
+            for( ; d < maxDlocal; d++ )
             {
-                for( int d = minD; d < maxD; d++ )
-                {
-                    int v = prow2[width-x-1 + d];
-                    int v0 = buffer[width-x-1 + d];
-                    int v1 = buffer[width-x-1 + d + width2];
-                    int c0 = max(0, u - v1); c0 = max(c0, v0 - u);
-                    int c1 = max(0, v - u1); c1 = max(c1, u0 - v);
+                int v = prow2[width-x-1 + d];
+                int v0 = buffer[width-x-1 + d];
+                int v1 = buffer[width-x-1 + d + width2];
+                int c0 = max(0, u - v1); c0 = max(c0, v0 - u);
+                int c1 = max(0, v - u1); c1 = max(c1, u0 - v);
 
-                    cost[x*D + d] = (CostType)(cost[x*D+d] + (min(c0, c1) >> diff_scale));
-                }
+                cost[x*D + d] = (CostType)(cost[x*D+d] + (min(c0, c1) >> diff_scale));
+            }
+            for( ; d < maxD; d++ )
+            {
+                int v = prow2[width-1];
+                int v0 = buffer[width-1];
+                int v1 = buffer[width-1 + width2];
+                int c0 = max(0, u - v1); c0 = max(c0, v0 - u);
+                int c1 = max(0, v - u1); c1 = max(c1, u0 - v);
+
+                cost[x*D + d] = (CostType)(cost[x*D+d] + (min(c0, c1) >> diff_scale));
             }
         }
     }
@@ -329,7 +349,7 @@ static void computeDisparitySGBM( const Mat& img1, const Mat& img2,
     int disp12MaxDiff = params.disp12MaxDiff > 0 ? params.disp12MaxDiff : 1;
     int P1 = params.P1 > 0 ? params.P1 : 2, P2 = max(params.P2 > 0 ? params.P2 : 5, P1+1);
     int k, width = disp1.cols, height = disp1.rows;
-    int minX1 = max(-maxD, 0), maxX1 = width + min(minD, 0);
+    int minX1 = max(-maxD, 0), maxX1 = width + min(-minD, 0);
     int D = maxD - minD, width1 = maxX1 - minX1;
     int INVALID_DISP = minD - 1, INVALID_DISP_SCALED = INVALID_DISP*DISP_SCALE;
     int SW2 = SADWindowSize.width/2, SH2 = SADWindowSize.height/2;
@@ -377,6 +397,7 @@ static void computeDisparitySGBM( const Mat& img1, const Mat& img2,
 
     // summary cost over different (nDirs) directions
     CostType* Cbuf = (CostType*)alignPtr(buffer.data, ALIGN);
+    memset(Cbuf, 0, CSBufSize*sizeof(CostType));
     CostType* Sbuf = Cbuf + CSBufSize;
     CostType* hsumBuf = Sbuf + CSBufSize;
     CostType* pixDiff = hsumBuf + costBufSize*hsumBufNRows;

modules/calib3d/test/test_cameracalibration.cpp

@@ -1480,7 +1480,7 @@ void CV_StereoCalibrationTest::run( int )
 
         if( norm(R1t*R1 - eye33) > 0.01 ||
             norm(R2t*R2 - eye33) > 0.01 ||
-            abs(determinant(F)) > 0.01)
+            std::abs(determinant(F)) > 0.01)
         {
             ts->printf( cvtest::TS::LOG, "The computed (by rectify) R1 and R2 are not orthogonal,"
                 "or the computed (by calibrate) F is not singular, testcase %d\n", testcase);
@@ -1617,7 +1617,7 @@ void CV_StereoCalibrationTest::run( int )
         perspectiveTransform( _imgpt1, rectifPoints1, _H1 );
         perspectiveTransform( _imgpt2, rectifPoints2, _H2 );
 
-        bool verticalStereo = abs(P2.at<double>(0,3)) < abs(P2.at<double>(1,3));
+        bool verticalStereo = std::abs(P2.at<double>(0,3)) < std::abs(P2.at<double>(1,3));
         double maxDiff_c = 0, maxDiff_uc = 0;
         for( int i = 0, k = 0; i < nframes; i++ )
         {
@@ -1627,9 +1627,9 @@ void CV_StereoCalibrationTest::run( int )
 
             for( int j = 0; j < npoints; j++, k++ )
             {
-                double diff_c = verticalStereo ? abs(temp[0][j].x - temp[1][j].x) : abs(temp[0][j].y - temp[1][j].y);
+                double diff_c = verticalStereo ? std::abs(temp[0][j].x - temp[1][j].x) : std::abs(temp[0][j].y - temp[1][j].y);
                 Point2f d = rectifPoints1.at<Point2f>(k,0) - rectifPoints2.at<Point2f>(k,0);
-                double diff_uc = verticalStereo ? abs(d.x) : abs(d.y);
+                double diff_uc = verticalStereo ? std::abs(d.x) : std::abs(d.y);
                 maxDiff_c = max(maxDiff_c, diff_c);
                 maxDiff_uc = max(maxDiff_uc, diff_uc);
                 if( maxDiff_c > maxScanlineDistErr_c )

modules/calib3d/test/test_fisheye.cpp

@@ -100,15 +100,15 @@ TEST_F(fisheyeTest, projectPoints)
 
 TEST_F(fisheyeTest, undistortImage)
 {
-    cv::Matx33d K = this->K;
-    cv::Mat D = cv::Mat(this->D);
+    cv::Matx33d theK = this->K;
+    cv::Mat theD = cv::Mat(this->D);
     std::string file = combine(datasets_repository_path, "/calib-3_stereo_from_JY/left/stereo_pair_014.jpg");
-    cv::Matx33d newK = K;
+    cv::Matx33d newK = theK;
     cv::Mat distorted = cv::imread(file), undistorted;
     {
         newK(0, 0) = 100;
         newK(1, 1) = 100;
-        cv::fisheye::undistortImage(distorted, undistorted, K, D, newK);
+        cv::fisheye::undistortImage(distorted, undistorted, theK, theD, newK);
         cv::Mat correct = cv::imread(combine(datasets_repository_path, "new_f_100.png"));
         if (correct.empty())
             CV_Assert(cv::imwrite(combine(datasets_repository_path, "new_f_100.png"), undistorted));
@@ -117,8 +117,8 @@ TEST_F(fisheyeTest, undistortImage)
     }
     {
         double balance = 1.0;
-        cv::fisheye::estimateNewCameraMatrixForUndistortRectify(K, D, distorted.size(), cv::noArray(), newK, balance);
-        cv::fisheye::undistortImage(distorted, undistorted, K, D, newK);
+        cv::fisheye::estimateNewCameraMatrixForUndistortRectify(theK, theD, distorted.size(), cv::noArray(), newK, balance);
+        cv::fisheye::undistortImage(distorted, undistorted, theK, theD, newK);
         cv::Mat correct = cv::imread(combine(datasets_repository_path, "balance_1.0.png"));
         if (correct.empty())
             CV_Assert(cv::imwrite(combine(datasets_repository_path, "balance_1.0.png"), undistorted));
@@ -128,8 +128,8 @@ TEST_F(fisheyeTest, undistortImage)
 
     {
         double balance = 0.0;
-        cv::fisheye::estimateNewCameraMatrixForUndistortRectify(K, D, distorted.size(), cv::noArray(), newK, balance);
-        cv::fisheye::undistortImage(distorted, undistorted, K, D, newK);
+        cv::fisheye::estimateNewCameraMatrixForUndistortRectify(theK, theD, distorted.size(), cv::noArray(), newK, balance);
+        cv::fisheye::undistortImage(distorted, undistorted, theK, theD, newK);
         cv::Mat correct = cv::imread(combine(datasets_repository_path, "balance_0.0.png"));
         if (correct.empty())
             CV_Assert(cv::imwrite(combine(datasets_repository_path, "balance_0.0.png"), undistorted));
@@ -142,7 +142,7 @@ TEST_F(fisheyeTest, jacobians)
 {
     int n = 10;
     cv::Mat X(1, n, CV_64FC3);
-    cv::Mat om(3, 1, CV_64F), T(3, 1, CV_64F);
+    cv::Mat om(3, 1, CV_64F), theT(3, 1, CV_64F);
     cv::Mat f(2, 1, CV_64F), c(2, 1, CV_64F);
     cv::Mat k(4, 1, CV_64F);
     double alpha;
@@ -155,8 +155,8 @@ TEST_F(fisheyeTest, jacobians)
     r.fill(om, cv::RNG::NORMAL, 0, 1);
     om = cv::abs(om);
 
-    r.fill(T, cv::RNG::NORMAL, 0, 1);
-    T = cv::abs(T); T.at<double>(2) = 4; T *= 10;
+    r.fill(theT, cv::RNG::NORMAL, 0, 1);
+    theT = cv::abs(theT); theT.at<double>(2) = 4; theT *= 10;
 
     r.fill(f, cv::RNG::NORMAL, 0, 1);
     f = cv::abs(f) * 1000;
@@ -170,19 +170,19 @@ TEST_F(fisheyeTest, jacobians)
     alpha = 0.01*r.gaussian(1);
 
     cv::Mat x1, x2, xpred;
-    cv::Matx33d K(f.at<double>(0), alpha * f.at<double>(0), c.at<double>(0),
+    cv::Matx33d theK(f.at<double>(0), alpha * f.at<double>(0), c.at<double>(0),
                      0,            f.at<double>(1), c.at<double>(1),
                      0,            0,    1);
 
     cv::Mat jacobians;
-    cv::fisheye::projectPoints(X, x1, om, T, K, k, alpha, jacobians);
+    cv::fisheye::projectPoints(X, x1, om, theT, theK, k, alpha, jacobians);
 
     //test on T:
     cv::Mat dT(3, 1, CV_64FC1);
     r.fill(dT, cv::RNG::NORMAL, 0, 1);
-    dT *= 1e-9*cv::norm(T);
-    cv::Mat T2 = T + dT;
-    cv::fisheye::projectPoints(X, x2, om, T2, K, k, alpha, cv::noArray());
+    dT *= 1e-9*cv::norm(theT);
+    cv::Mat T2 = theT + dT;
+    cv::fisheye::projectPoints(X, x2, om, T2, theK, k, alpha, cv::noArray());
     xpred = x1 + cv::Mat(jacobians.colRange(11,14) * dT).reshape(2, 1);
     CV_Assert (cv::norm(x2 - xpred) < 1e-10);
 
@@ -191,7 +191,7 @@ TEST_F(fisheyeTest, jacobians)
     r.fill(dom, cv::RNG::NORMAL, 0, 1);
     dom *= 1e-9*cv::norm(om);
     cv::Mat om2 = om + dom;
-    cv::fisheye::projectPoints(X, x2, om2, T, K, k, alpha, cv::noArray());
+    cv::fisheye::projectPoints(X, x2, om2, theT, theK, k, alpha, cv::noArray());
     xpred = x1 + cv::Mat(jacobians.colRange(8,11) * dom).reshape(2, 1);
     CV_Assert (cv::norm(x2 - xpred) < 1e-10);
 
@@ -199,8 +199,8 @@ TEST_F(fisheyeTest, jacobians)
     cv::Mat df(2, 1, CV_64FC1);
     r.fill(df, cv::RNG::NORMAL, 0, 1);
     df *= 1e-9*cv::norm(f);
-    cv::Matx33d K2 = K + cv::Matx33d(df.at<double>(0), df.at<double>(0) * alpha, 0, 0, df.at<double>(1), 0, 0, 0, 0);
-    cv::fisheye::projectPoints(X, x2, om, T, K2, k, alpha, cv::noArray());
+    cv::Matx33d K2 = theK + cv::Matx33d(df.at<double>(0), df.at<double>(0) * alpha, 0, 0, df.at<double>(1), 0, 0, 0, 0);
+    cv::fisheye::projectPoints(X, x2, om, theT, K2, k, alpha, cv::noArray());
     xpred = x1 + cv::Mat(jacobians.colRange(0,2) * df).reshape(2, 1);
     CV_Assert (cv::norm(x2 - xpred) < 1e-10);
 
@@ -208,8 +208,8 @@ TEST_F(fisheyeTest, jacobians)
     cv::Mat dc(2, 1, CV_64FC1);
     r.fill(dc, cv::RNG::NORMAL, 0, 1);
     dc *= 1e-9*cv::norm(c);
-    K2 = K + cv::Matx33d(0, 0, dc.at<double>(0), 0, 0, dc.at<double>(1), 0, 0, 0);
-    cv::fisheye::projectPoints(X, x2, om, T, K2, k, alpha, cv::noArray());
+    K2 = theK + cv::Matx33d(0, 0, dc.at<double>(0), 0, 0, dc.at<double>(1), 0, 0, 0);
+    cv::fisheye::projectPoints(X, x2, om, theT, K2, k, alpha, cv::noArray());
     xpred = x1 + cv::Mat(jacobians.colRange(2,4) * dc).reshape(2, 1);
     CV_Assert (cv::norm(x2 - xpred) < 1e-10);
 
@@ -218,7 +218,7 @@ TEST_F(fisheyeTest, jacobians)
     r.fill(dk, cv::RNG::NORMAL, 0, 1);
     dk *= 1e-9*cv::norm(k);
     cv::Mat k2 = k + dk;
-    cv::fisheye::projectPoints(X, x2, om, T, K, k2, alpha, cv::noArray());
+    cv::fisheye::projectPoints(X, x2, om, theT, theK, k2, alpha, cv::noArray());
     xpred = x1 + cv::Mat(jacobians.colRange(4,8) * dk).reshape(2, 1);
     CV_Assert (cv::norm(x2 - xpred) < 1e-10);
 
@@ -227,8 +227,8 @@ TEST_F(fisheyeTest, jacobians)
     r.fill(dalpha, cv::RNG::NORMAL, 0, 1);
     dalpha *= 1e-9*cv::norm(f);
     double alpha2 = alpha + dalpha.at<double>(0);
-    K2 = K + cv::Matx33d(0, f.at<double>(0) * dalpha.at<double>(0), 0, 0, 0, 0, 0, 0, 0);
-    cv::fisheye::projectPoints(X, x2, om, T, K, k, alpha2, cv::noArray());
+    K2 = theK + cv::Matx33d(0, f.at<double>(0) * dalpha.at<double>(0), 0, 0, 0, 0, 0, 0, 0);
+    cv::fisheye::projectPoints(X, x2, om, theT, theK, k, alpha2, cv::noArray());
     xpred = x1 + cv::Mat(jacobians.col(14) * dalpha).reshape(2, 1);
     CV_Assert (cv::norm(x2 - xpred) < 1e-10);
 }
@@ -258,14 +258,14 @@ TEST_F(fisheyeTest, Calibration)
     flag |= cv::fisheye::CALIB_CHECK_COND;
     flag |= cv::fisheye::CALIB_FIX_SKEW;
 
-    cv::Matx33d K;
-    cv::Vec4d D;
+    cv::Matx33d theK;
+    cv::Vec4d theD;
 
-    cv::fisheye::calibrate(objectPoints, imagePoints, imageSize, K, D,
+    cv::fisheye::calibrate(objectPoints, imagePoints, imageSize, theK, theD,
                            cv::noArray(), cv::noArray(), flag, cv::TermCriteria(3, 20, 1e-6));
 
-    EXPECT_MAT_NEAR(K, this->K, 1e-10);
-    EXPECT_MAT_NEAR(D, this->D, 1e-10);
+    EXPECT_MAT_NEAR(theK, this->K, 1e-10);
+    EXPECT_MAT_NEAR(theD, this->D, 1e-10);
 }
 
 TEST_F(fisheyeTest, Homography)
@@ -302,15 +302,15 @@ TEST_F(fisheyeTest, Homography)
     int Np = imagePointsNormalized.cols;
     cv::calcCovarMatrix(_objectPoints, covObjectPoints, objectPointsMean, CV_COVAR_NORMAL | CV_COVAR_COLS);
     cv::SVD svd(covObjectPoints);
-    cv::Mat R(svd.vt);
+    cv::Mat theR(svd.vt);
 
-    if (cv::norm(R(cv::Rect(2, 0, 1, 2))) < 1e-6)
-        R = cv::Mat::eye(3,3, CV_64FC1);
-    if (cv::determinant(R) < 0)
-        R = -R;
+    if (cv::norm(theR(cv::Rect(2, 0, 1, 2))) < 1e-6)
+        theR = cv::Mat::eye(3,3, CV_64FC1);
+    if (cv::determinant(theR) < 0)
+        theR = -theR;
 
-    cv::Mat T = -R * objectPointsMean;
-    cv::Mat X_new = R * _objectPoints + T * cv::Mat::ones(1, Np, CV_64FC1);
+    cv::Mat theT = -theR * objectPointsMean;
+    cv::Mat X_new = theR * _objectPoints + theT * cv::Mat::ones(1, Np, CV_64FC1);
     cv::Mat H = cv::internal::ComputeHomography(imagePointsNormalized, X_new.rowRange(0, 2));
 
     cv::Mat M = cv::Mat::ones(3, X_new.cols, CV_64FC1);
@@ -354,19 +354,19 @@ TEST_F(fisheyeTest, EtimateUncertainties)
     flag |= cv::fisheye::CALIB_CHECK_COND;
     flag |= cv::fisheye::CALIB_FIX_SKEW;
 
-    cv::Matx33d K;
-    cv::Vec4d D;
+    cv::Matx33d theK;
+    cv::Vec4d theD;
     std::vector<cv::Vec3d> rvec;
     std::vector<cv::Vec3d> tvec;
 
-    cv::fisheye::calibrate(objectPoints, imagePoints, imageSize, K, D,
+    cv::fisheye::calibrate(objectPoints, imagePoints, imageSize, theK, theD,
                            rvec, tvec, flag, cv::TermCriteria(3, 20, 1e-6));
 
     cv::internal::IntrinsicParams param, errors;
     cv::Vec2d err_std;
     double thresh_cond = 1e6;
     int check_cond = 1;
-    param.Init(cv::Vec2d(K(0,0), K(1,1)), cv::Vec2d(K(0,2), K(1, 2)), D);
+    param.Init(cv::Vec2d(theK(0,0), theK(1,1)), cv::Vec2d(theK(0,2), theK(1, 2)), theD);
     param.isEstimate = std::vector<int>(9, 1);
     param.isEstimate[4] = 0;
 
@@ -381,7 +381,7 @@ TEST_F(fisheyeTest, EtimateUncertainties)
     EXPECT_MAT_NEAR(errors.c, cv::Vec2d(0.890439368129246, 0.816096854937896), 1e-10);
     EXPECT_MAT_NEAR(errors.k, cv::Vec4d(0.00516248605191506, 0.0168181467500934, 0.0213118690274604, 0.00916010877545648), 1e-10);
     EXPECT_MAT_NEAR(err_std, cv::Vec2d(0.187475975266883, 0.185678953263995), 1e-10);
-    CV_Assert(abs(rms - 0.263782587133546) < 1e-10);
+    CV_Assert(std::abs(rms - 0.263782587133546) < 1e-10);
     CV_Assert(errors.alpha == 0);
 }
 
@@ -397,12 +397,12 @@ TEST_F(fisheyeTest, rectify)
     cv::Matx33d K1 = this->K, K2 = K1;
     cv::Mat D1 = cv::Mat(this->D), D2 = D1;
 
-    cv::Vec3d T = this->T;
-    cv::Matx33d R = this->R;
+    cv::Vec3d theT = this->T;
+    cv::Matx33d theR = this->R;
 
     double balance = 0.0, fov_scale = 1.1;
     cv::Mat R1, R2, P1, P2, Q;
-    cv::fisheye::stereoRectify(K1, D1, K2, D2, calibration_size, R, T, R1, R2, P1, P2, Q,
+    cv::fisheye::stereoRectify(K1, D1, K2, D2, calibration_size, theR, theT, R1, R2, P1, P2, Q,
                       cv::CALIB_ZERO_DISPARITY, requested_size, balance, fov_scale);
 
     cv::Mat lmapx, lmapy, rmapx, rmapy;
@@ -466,8 +466,8 @@ TEST_F(fisheyeTest, stereoCalibrate)
     fs_object[cv::format("image_%d", i )] >> objectPoints[i];
     fs_object.release();
 
-    cv::Matx33d K1, K2, R;
-    cv::Vec3d T;
+    cv::Matx33d K1, K2, theR;
+    cv::Vec3d theT;
     cv::Vec4d D1, D2;
 
     int flag = 0;
@@ -477,7 +477,7 @@ TEST_F(fisheyeTest, stereoCalibrate)
    // flag |= cv::fisheye::CALIB_FIX_INTRINSIC;
 
     cv::fisheye::stereoCalibrate(objectPoints, leftPoints, rightPoints,
-                    K1, D1, K2, D2, imageSize, R, T, flag,
+                    K1, D1, K2, D2, imageSize, theR, theT, flag,
                     cv::TermCriteria(3, 12, 0));
 
     cv::Matx33d R_correct(   0.9975587205950972,   0.06953016383322372, 0.006492709911733523,
@@ -495,8 +495,8 @@ TEST_F(fisheyeTest, stereoCalibrate)
     cv::Vec4d D1_correct (-7.44253716539556e-05, -0.00702662033932424, 0.00737569823650885, -0.00342230256441771);
     cv::Vec4d D2_correct (-0.0130785435677431, 0.0284434505383497, -0.0360333869900506, 0.0144724062347222);
 
-    EXPECT_MAT_NEAR(R, R_correct, 1e-10);
-    EXPECT_MAT_NEAR(T, T_correct, 1e-10);
+    EXPECT_MAT_NEAR(theR, R_correct, 1e-10);
+    EXPECT_MAT_NEAR(theT, T_correct, 1e-10);
 
     EXPECT_MAT_NEAR(K1, K1_correct, 1e-10);
     EXPECT_MAT_NEAR(K2, K2_correct, 1e-10);
@@ -534,8 +534,8 @@ TEST_F(fisheyeTest, stereoCalibrateFixIntrinsic)
     fs_object[cv::format("image_%d", i )] >> objectPoints[i];
     fs_object.release();
 
-    cv::Matx33d R;
-    cv::Vec3d T;
+    cv::Matx33d theR;
+    cv::Vec3d theT;
 
     int flag = 0;
     flag |= cv::fisheye::CALIB_RECOMPUTE_EXTRINSIC;
@@ -555,7 +555,7 @@ TEST_F(fisheyeTest, stereoCalibrateFixIntrinsic)
     cv::Vec4d D2 (-0.0130785435677431, 0.0284434505383497, -0.0360333869900506, 0.0144724062347222);
 
     cv::fisheye::stereoCalibrate(objectPoints, leftPoints, rightPoints,
-                    K1, D1, K2, D2, imageSize, R, T, flag,
+                    K1, D1, K2, D2, imageSize, theR, theT, flag,
                     cv::TermCriteria(3, 12, 0));
 
     cv::Matx33d R_correct(   0.9975587205950972,   0.06953016383322372, 0.006492709911733523,
@@ -564,8 +564,8 @@ TEST_F(fisheyeTest, stereoCalibrateFixIntrinsic)
     cv::Vec3d T_correct(-0.099402724724121, 0.00270812139265413, 0.00129330292472699);
 
 
-    EXPECT_MAT_NEAR(R, R_correct, 1e-10);
-    EXPECT_MAT_NEAR(T, T_correct, 1e-10);
+    EXPECT_MAT_NEAR(theR, R_correct, 1e-10);
+    EXPECT_MAT_NEAR(theT, T_correct, 1e-10);
 }
 
 ////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////

modules/contrib/include/opencv2/contrib/contrib.hpp

@@ -853,8 +853,7 @@ namespace cv
     class CV_EXPORTS LDA
     {
     public:
-        // Initializes a LDA with num_components (default 0) and specifies how
-        // samples are aligned (default dataAsRow=true).
+        // Initializes a LDA with num_components (default 0).
         LDA(int num_components = 0) :
             _num_components(num_components) {};
 
@@ -895,13 +894,18 @@ namespace cv
         // Destructor.
         ~LDA() {}
 
-        //! Compute the discriminants for data in src and labels.
+        /** Compute the discriminants for data in src (row aligned) and labels.
+          */
         void compute(InputArrayOfArrays src, InputArray labels);
 
-        // Projects samples into the LDA subspace.
+        /** Projects samples into the LDA subspace.
+            src may be one or more row aligned samples.
+          */
         Mat project(InputArray src);
 
-        // Reconstructs projections from the LDA subspace.
+        /** Reconstructs projections from the LDA subspace.
+            src may be one or more row aligned projections.
+          */
         Mat reconstruct(InputArray src);
 
         // Returns the eigenvectors of this LDA.
@@ -911,7 +915,7 @@ namespace cv
         Mat eigenvalues() const { return _eigenvalues; }
 
     protected:
-        bool _dataAsRow;
+        bool _dataAsRow; // unused, but needed for ABI compatibility.
         int _num_components;
         Mat _eigenvectors;
         Mat _eigenvalues;

modules/contrib/src/chamfermatching.cpp

@@ -966,10 +966,8 @@ void ChamferMatcher::Matching::computeDistanceTransform(Mat& edges_img, Mat& dis
     for (int y=0;y<h;++y) {
         for (int x=0;x<w;++x) {
             // initialize
-            if (&annotate_img!=NULL) {
-                annotate_img.at<Vec2i>(y,x)[0]=x;
-                annotate_img.at<Vec2i>(y,x)[1]=y;
-            }
+            annotate_img.at<Vec2i>(y,x)[0]=x;
+            annotate_img.at<Vec2i>(y,x)[1]=y;
 
             uchar edge_val = edges_img.at<uchar>(y,x);
             if( (edge_val!=0) ) {
@@ -1013,10 +1011,8 @@ void ChamferMatcher::Matching::computeDistanceTransform(Mat& edges_img, Mat& dis
                 dist_img.at<float>(ny,nx) = dist;
                 q.push(std::make_pair(nx,ny));
 
-                if (&annotate_img!=NULL) {
-                    annotate_img.at<Vec2i>(ny,nx)[0]=annotate_img.at<Vec2i>(y,x)[0];
-                    annotate_img.at<Vec2i>(ny,nx)[1]=annotate_img.at<Vec2i>(y,x)[1];
-                }
+                annotate_img.at<Vec2i>(ny,nx)[0]=annotate_img.at<Vec2i>(y,x)[0];
+                annotate_img.at<Vec2i>(ny,nx)[1]=annotate_img.at<Vec2i>(y,x)[1];
             }
         }
     }
@@ -1107,26 +1103,22 @@ ChamferMatcher::Match* ChamferMatcher::Matching::localChamferDistance(Point offs
 
     float cost = (sum_distance/truncate_)/addr.size();
 
+    float* optr = orientation_img.ptr<float>(y)+x;
+    float sum_orientation = 0;
+    int cnt_orientation = 0;
 
-    if (&orientation_img!=NULL) {
-        float* optr = orientation_img.ptr<float>(y)+x;
-        float sum_orientation = 0;
-        int cnt_orientation = 0;
+    for (size_t i=0;i<addr.size();++i) {
 
-        for (size_t i=0;i<addr.size();++i) {
-
-            if(addr[i] < (orientation_img.cols*orientation_img.rows) - (offset.y*orientation_img.cols + offset.x)){
-                                if (tpl->orientations[i]>=-CV_PI && (*(optr+addr[i]))>=-CV_PI) {
-                    sum_orientation += orientation_diff(tpl->orientations[i], (*(optr+addr[i])));
-                    cnt_orientation++;
-                }
+        if(addr[i] < (orientation_img.cols*orientation_img.rows) - (offset.y*orientation_img.cols + offset.x)){
+                            if (tpl->orientations[i]>=-CV_PI && (*(optr+addr[i]))>=-CV_PI) {
+                sum_orientation += orientation_diff(tpl->orientations[i], (*(optr+addr[i])));
+                cnt_orientation++;
             }
         }
+    }
 
-        if (cnt_orientation>0) {
-                        cost = (float)(beta*cost+alpha*(sum_orientation/(2*CV_PI))/cnt_orientation);
-        }
-
+    if (cnt_orientation>0) {
+                    cost = (float)(beta*cost+alpha*(sum_orientation/(2*CV_PI))/cnt_orientation);
     }
 
     if(cost > 0){

modules/contrib/src/colormap.cpp

@@ -189,7 +189,7 @@ namespace colormap
 
         void init(int n) {
             float r[] = { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
-            float g[] = { 0, 0.01587301587301587, 0.03174603174603174, 0.04761904761904762, 0.06349206349206349, 0.07936507936507936, 0.09523809523809523, 0.1111111111111111, 0.126984126984127, 0.1428571428571428, 0.1587301587301587, 0.1746031746031746, 0.1904761904761905, 0.2063492063492063, 0.2222222222222222, 0.2380952380952381, 0.253968253968254, 0.2698412698412698, 0.2857142857142857, 0.3015873015873016, 0.3174603174603174, 0.3333333333333333, 0.3492063492063492, 0.3650793650793651, 0.3809523809523809, 0.3968253968253968, 0.4126984126984127, 0.4285714285714285, 0.4444444444444444, 0.4603174603174603, 0.4761904761904762, 0.492063492063492, 0.5079365079365079, 0.5238095238095238, 0.5396825396825397, 0.5555555555555556, 0.5714285714285714, 0.5873015873015873, 0.6031746031746031, 0.6190476190476191, 0.6349206349206349, 0.6507936507936508, 0.6666666666666666, 0.6825396825396826, 0.6984126984126984, 0.7142857142857143, 0.7301587301587301, 0.746031746031746, 0.7619047619047619, 0.7777777777777778, 0.7936507936507936, 0.8095238095238095, 0.8253968253968254, 0.8412698412698413, 0.8571428571428571, 0.873015873015873, 0.8888888888888888, 0.9047619047619048, 0.9206349206349206, 0.9365079365079365, 0.9523809523809523, 0.9682539682539683, 0.9841269841269841, 1};
+            float g[] = { 0, 0.01587301587301587f, 0.03174603174603174f, 0.04761904761904762f, 0.06349206349206349f, 0.07936507936507936f, 0.09523809523809523f, 0.1111111111111111f, 0.126984126984127f, 0.1428571428571428f, 0.1587301587301587f, 0.1746031746031746f, 0.1904761904761905f, 0.2063492063492063f, 0.2222222222222222f, 0.2380952380952381f, 0.253968253968254f, 0.2698412698412698f, 0.2857142857142857f, 0.3015873015873016f, 0.3174603174603174f, 0.3333333333333333f, 0.3492063492063492f, 0.3650793650793651f, 0.3809523809523809f, 0.3968253968253968f, 0.4126984126984127f, 0.4285714285714285f, 0.4444444444444444f, 0.4603174603174603f, 0.4761904761904762f, 0.492063492063492f, 0.5079365079365079f, 0.5238095238095238f, 0.5396825396825397f, 0.5555555555555556f, 0.5714285714285714f, 0.5873015873015873f, 0.6031746031746031f, 0.6190476190476191f, 0.6349206349206349f, 0.6507936507936508f, 0.6666666666666666f, 0.6825396825396826f, 0.6984126984126984f, 0.7142857142857143f, 0.7301587301587301f, 0.746031746031746f, 0.7619047619047619f, 0.7777777777777778f, 0.7936507936507936f, 0.8095238095238095f, 0.8253968253968254f, 0.8412698412698413f, 0.8571428571428571f, 0.873015873015873f, 0.8888888888888888f, 0.9047619047619048f, 0.9206349206349206f, 0.9365079365079365f, 0.9523809523809523f, 0.9682539682539683f, 0.9841269841269841f, 1};
             float b[] = {  0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0};
             Mat X = linspace(0,1,64);
             this->_lut = ColorMap::linear_colormap(X,
@@ -212,9 +212,9 @@ namespace colormap
         }
 
         void init(int n) {
-            float r[] = { 0, 0.01388888888888889, 0.02777777777777778, 0.04166666666666666, 0.05555555555555555, 0.06944444444444445, 0.08333333333333333, 0.09722222222222221, 0.1111111111111111, 0.125, 0.1388888888888889, 0.1527777777777778, 0.1666666666666667, 0.1805555555555556, 0.1944444444444444, 0.2083333333333333, 0.2222222222222222, 0.2361111111111111, 0.25, 0.2638888888888889, 0.2777777777777778, 0.2916666666666666, 0.3055555555555555, 0.3194444444444444, 0.3333333333333333, 0.3472222222222222, 0.3611111111111111, 0.375, 0.3888888888888888, 0.4027777777777777, 0.4166666666666666, 0.4305555555555555, 0.4444444444444444, 0.4583333333333333, 0.4722222222222222, 0.4861111111111112, 0.5, 0.5138888888888888, 0.5277777777777778, 0.5416666666666667, 0.5555555555555556, 0.5694444444444444, 0.5833333333333333, 0.5972222222222222, 0.611111111111111, 0.6249999999999999, 0.6388888888888888, 0.6527777777777778, 0.6726190476190474, 0.6944444444444442, 0.7162698412698412, 0.7380952380952381, 0.7599206349206349, 0.7817460317460316, 0.8035714285714286, 0.8253968253968254, 0.8472222222222221, 0.8690476190476188, 0.8908730158730158, 0.9126984126984128, 0.9345238095238095, 0.9563492063492063, 0.978174603174603, 1};
-            float g[] = { 0, 0.01388888888888889, 0.02777777777777778, 0.04166666666666666, 0.05555555555555555, 0.06944444444444445, 0.08333333333333333, 0.09722222222222221, 0.1111111111111111, 0.125, 0.1388888888888889, 0.1527777777777778, 0.1666666666666667, 0.1805555555555556, 0.1944444444444444, 0.2083333333333333, 0.2222222222222222, 0.2361111111111111, 0.25, 0.2638888888888889, 0.2777777777777778, 0.2916666666666666, 0.3055555555555555, 0.3194444444444444, 0.3353174603174602, 0.3544973544973544, 0.3736772486772486, 0.3928571428571428, 0.412037037037037, 0.4312169312169312, 0.4503968253968254, 0.4695767195767195, 0.4887566137566137, 0.5079365079365078, 0.5271164021164021, 0.5462962962962963, 0.5654761904761904, 0.5846560846560845, 0.6038359788359787, 0.623015873015873, 0.6421957671957671, 0.6613756613756612, 0.6805555555555555, 0.6997354497354497, 0.7189153439153438, 0.7380952380952379, 0.7572751322751322, 0.7764550264550264, 0.7916666666666666, 0.8055555555555555, 0.8194444444444444, 0.8333333333333334, 0.8472222222222222, 0.861111111111111, 0.875, 0.8888888888888888, 0.9027777777777777, 0.9166666666666665, 0.9305555555555555, 0.9444444444444444, 0.9583333333333333, 0.9722222222222221, 0.986111111111111, 1};
-            float b[] = { 0, 0.01917989417989418, 0.03835978835978836, 0.05753968253968253, 0.07671957671957672, 0.09589947089947089, 0.1150793650793651, 0.1342592592592592, 0.1534391534391534, 0.1726190476190476, 0.1917989417989418, 0.210978835978836, 0.2301587301587301, 0.2493386243386243, 0.2685185185185185, 0.2876984126984127, 0.3068783068783069, 0.326058201058201, 0.3452380952380952, 0.3644179894179894, 0.3835978835978835, 0.4027777777777777, 0.4219576719576719, 0.4411375661375661, 0.4583333333333333, 0.4722222222222222, 0.4861111111111111, 0.5, 0.5138888888888888, 0.5277777777777777, 0.5416666666666666, 0.5555555555555556, 0.5694444444444444, 0.5833333333333333, 0.5972222222222222, 0.6111111111111112, 0.625, 0.6388888888888888, 0.6527777777777778, 0.6666666666666667, 0.6805555555555556, 0.6944444444444444, 0.7083333333333333, 0.7222222222222222, 0.736111111111111, 0.7499999999999999, 0.7638888888888888, 0.7777777777777778, 0.7916666666666666, 0.8055555555555555, 0.8194444444444444, 0.8333333333333334, 0.8472222222222222, 0.861111111111111, 0.875, 0.8888888888888888, 0.9027777777777777, 0.9166666666666665, 0.9305555555555555, 0.9444444444444444, 0.9583333333333333, 0.9722222222222221, 0.986111111111111, 1};
+            float r[] = { 0, 0.01388888888888889f, 0.02777777777777778f, 0.04166666666666666f, 0.05555555555555555f, 0.06944444444444445f, 0.08333333333333333f, 0.09722222222222221f, 0.1111111111111111f, 0.125f, 0.1388888888888889f, 0.1527777777777778f, 0.1666666666666667f, 0.1805555555555556f, 0.1944444444444444f, 0.2083333333333333f, 0.2222222222222222f, 0.2361111111111111f, 0.25f, 0.2638888888888889f, 0.2777777777777778f, 0.2916666666666666f, 0.3055555555555555f, 0.3194444444444444f, 0.3333333333333333f, 0.3472222222222222f, 0.3611111111111111f, 0.375f, 0.3888888888888888f, 0.4027777777777777f, 0.4166666666666666f, 0.4305555555555555f, 0.4444444444444444f, 0.4583333333333333f, 0.4722222222222222f, 0.4861111111111112f, 0.5f, 0.5138888888888888f, 0.5277777777777778f, 0.5416666666666667f, 0.5555555555555556f, 0.5694444444444444f, 0.5833333333333333f, 0.5972222222222222f, 0.611111111111111f, 0.6249999999999999f, 0.6388888888888888f, 0.6527777777777778f, 0.6726190476190474f, 0.6944444444444442f, 0.7162698412698412f, 0.7380952380952381f, 0.7599206349206349f, 0.7817460317460316f, 0.8035714285714286f, 0.8253968253968254f, 0.8472222222222221f, 0.8690476190476188f, 0.8908730158730158f, 0.9126984126984128f, 0.9345238095238095f, 0.9563492063492063f, 0.978174603174603f, 1};
+            float g[] = { 0, 0.01388888888888889f, 0.02777777777777778f, 0.04166666666666666f, 0.05555555555555555f, 0.06944444444444445f, 0.08333333333333333f, 0.09722222222222221f, 0.1111111111111111f, 0.125f, 0.1388888888888889f, 0.1527777777777778f, 0.1666666666666667f, 0.1805555555555556f, 0.1944444444444444f, 0.2083333333333333f, 0.2222222222222222f, 0.2361111111111111f, 0.25f, 0.2638888888888889f, 0.2777777777777778f, 0.2916666666666666f, 0.3055555555555555f, 0.3194444444444444f, 0.3353174603174602f, 0.3544973544973544f, 0.3736772486772486f, 0.3928571428571428f, 0.412037037037037f, 0.4312169312169312f, 0.4503968253968254f, 0.4695767195767195f, 0.4887566137566137f, 0.5079365079365078f, 0.5271164021164021f, 0.5462962962962963f, 0.5654761904761904f, 0.5846560846560845f, 0.6038359788359787f, 0.623015873015873f, 0.6421957671957671f, 0.6613756613756612f, 0.6805555555555555f, 0.6997354497354497f, 0.7189153439153438f, 0.7380952380952379f, 0.7572751322751322f, 0.7764550264550264f, 0.7916666666666666f, 0.8055555555555555f, 0.8194444444444444f, 0.8333333333333334f, 0.8472222222222222f, 0.861111111111111f, 0.875f, 0.8888888888888888f, 0.9027777777777777f, 0.9166666666666665f, 0.9305555555555555f, 0.9444444444444444f, 0.9583333333333333f, 0.9722222222222221f, 0.986111111111111f, 1};
+            float b[] = { 0, 0.01917989417989418f, 0.03835978835978836f, 0.05753968253968253f, 0.07671957671957672f, 0.09589947089947089f, 0.1150793650793651f, 0.1342592592592592f, 0.1534391534391534f, 0.1726190476190476f, 0.1917989417989418f, 0.210978835978836f, 0.2301587301587301f, 0.2493386243386243f, 0.2685185185185185f, 0.2876984126984127f, 0.3068783068783069f, 0.326058201058201f, 0.3452380952380952f, 0.3644179894179894f, 0.3835978835978835f, 0.4027777777777777f, 0.4219576719576719f, 0.4411375661375661f, 0.4583333333333333f, 0.4722222222222222f, 0.4861111111111111f, 0.5f, 0.5138888888888888f, 0.5277777777777777f, 0.5416666666666666f, 0.5555555555555556f, 0.5694444444444444f, 0.5833333333333333f, 0.5972222222222222f, 0.6111111111111112f, 0.625f, 0.6388888888888888f, 0.6527777777777778f, 0.6666666666666667f, 0.6805555555555556f, 0.6944444444444444f, 0.7083333333333333f, 0.7222222222222222f, 0.736111111111111f, 0.7499999999999999f, 0.7638888888888888f, 0.7777777777777778f, 0.7916666666666666f, 0.8055555555555555f, 0.8194444444444444f, 0.8333333333333334f, 0.8472222222222222f, 0.861111111111111f, 0.875f, 0.8888888888888888f, 0.9027777777777777f, 0.9166666666666665f, 0.9305555555555555f, 0.9444444444444444f, 0.9583333333333333f, 0.9722222222222221f, 0.986111111111111f, 1};
             Mat X = linspace(0,1,64);
             this->_lut = ColorMap::linear_colormap(X,
                     Mat(64,1, CV_32FC1, r).clone(), // red
@@ -242,9 +242,9 @@ namespace colormap
             // breakpoints
             Mat X = linspace(0,1,256);
             // define the basemap
-            float r[] = {0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.00588235294117645,0.02156862745098032,0.03725490196078418,0.05294117647058827,0.06862745098039214,0.084313725490196,0.1000000000000001,0.115686274509804,0.1313725490196078,0.1470588235294117,0.1627450980392156,0.1784313725490196,0.1941176470588235,0.2098039215686274,0.2254901960784315,0.2411764705882353,0.2568627450980392,0.2725490196078431,0.2882352941176469,0.303921568627451,0.3196078431372549,0.3352941176470587,0.3509803921568628,0.3666666666666667,0.3823529411764706,0.3980392156862744,0.4137254901960783,0.4294117647058824,0.4450980392156862,0.4607843137254901,0.4764705882352942,0.4921568627450981,0.5078431372549019,0.5235294117647058,0.5392156862745097,0.5549019607843135,0.5705882352941174,0.5862745098039217,0.6019607843137256,0.6176470588235294,0.6333333333333333,0.6490196078431372,0.664705882352941,0.6803921568627449,0.6960784313725492,0.7117647058823531,0.7274509803921569,0.7431372549019608,0.7588235294117647,0.7745098039215685,0.7901960784313724,0.8058823529411763,0.8215686274509801,0.8372549019607844,0.8529411764705883,0.8686274509803922,0.884313725490196,0.8999999999999999,0.9156862745098038,0.9313725490196076,0.947058823529412,0.9627450980392158,0.9784313725490197,0.9941176470588236,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.9862745098039216,0.9705882352941178,0.9549019607843139,0.93921568627451,0.9235294117647062,0.9078431372549018,0.892156862745098,0.8764705882352941,0.8607843137254902,0.8450980392156864,0.8294117647058825,0.8137254901960786,0.7980392156862743,0.7823529411764705,0.7666666666666666,0.7509803921568627,0.7352941176470589,0.719607843137255,0.7039215686274511,0.6882352941176473,0.6725490196078434,0.6568627450980391,0.6411764705882352,0.6254901960784314,0.6098039215686275,0.5941176470588236,0.5784313725490198,0.5627450980392159,0.5470588235294116,0.5313725490196077,0.5156862745098039,0.5};
-            float g[] = {0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.001960784313725483,0.01764705882352935,0.03333333333333333,0.0490196078431373,0.06470588235294117,0.08039215686274503,0.09607843137254901,0.111764705882353,0.1274509803921569,0.1431372549019607,0.1588235294117647,0.1745098039215687,0.1901960784313725,0.2058823529411764,0.2215686274509804,0.2372549019607844,0.2529411764705882,0.2686274509803921,0.2843137254901961,0.3,0.3156862745098039,0.3313725490196078,0.3470588235294118,0.3627450980392157,0.3784313725490196,0.3941176470588235,0.4098039215686274,0.4254901960784314,0.4411764705882353,0.4568627450980391,0.4725490196078431,0.4882352941176471,0.503921568627451,0.5196078431372548,0.5352941176470587,0.5509803921568628,0.5666666666666667,0.5823529411764705,0.5980392156862746,0.6137254901960785,0.6294117647058823,0.6450980392156862,0.6607843137254901,0.6764705882352942,0.692156862745098,0.7078431372549019,0.723529411764706,0.7392156862745098,0.7549019607843137,0.7705882352941176,0.7862745098039214,0.8019607843137255,0.8176470588235294,0.8333333333333333,0.8490196078431373,0.8647058823529412,0.8803921568627451,0.8960784313725489,0.9117647058823528,0.9274509803921569,0.9431372549019608,0.9588235294117646,0.9745098039215687,0.9901960784313726,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.9901960784313726,0.9745098039215687,0.9588235294117649,0.943137254901961,0.9274509803921571,0.9117647058823528,0.8960784313725489,0.8803921568627451,0.8647058823529412,0.8490196078431373,0.8333333333333335,0.8176470588235296,0.8019607843137253,0.7862745098039214,0.7705882352941176,0.7549019607843137,0.7392156862745098,0.723529411764706,0.7078431372549021,0.6921568627450982,0.6764705882352944,0.6607843137254901,0.6450980392156862,0.6294117647058823,0.6137254901960785,0.5980392156862746,0.5823529411764707,0.5666666666666669,0.5509803921568626,0.5352941176470587,0.5196078431372548,0.503921568627451,0.4882352941176471,0.4725490196078432,0.4568627450980394,0.4411764705882355,0.4254901960784316,0.4098039215686273,0.3941176470588235,0.3784313725490196,0.3627450980392157,0.3470588235294119,0.331372549019608,0.3156862745098041,0.2999999999999998,0.284313725490196,0.2686274509803921,0.2529411764705882,0.2372549019607844,0.2215686274509805,0.2058823529411766,0.1901960784313728,0.1745098039215689,0.1588235294117646,0.1431372549019607,0.1274509803921569,0.111764705882353,0.09607843137254912,0.08039215686274526,0.06470588235294139,0.04901960784313708,0.03333333333333321,0.01764705882352935,0.001960784313725483,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0};
-            float b[] = {0.5,0.5156862745098039,0.5313725490196078,0.5470588235294118,0.5627450980392157,0.5784313725490196,0.5941176470588235,0.6098039215686275,0.6254901960784314,0.6411764705882352,0.6568627450980392,0.6725490196078432,0.6882352941176471,0.7039215686274509,0.7196078431372549,0.7352941176470589,0.7509803921568627,0.7666666666666666,0.7823529411764706,0.7980392156862746,0.8137254901960784,0.8294117647058823,0.8450980392156863,0.8607843137254902,0.8764705882352941,0.892156862745098,0.907843137254902,0.9235294117647059,0.9392156862745098,0.9549019607843137,0.9705882352941176,0.9862745098039216,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.9941176470588236,0.9784313725490197,0.9627450980392158,0.9470588235294117,0.9313725490196079,0.915686274509804,0.8999999999999999,0.884313725490196,0.8686274509803922,0.8529411764705883,0.8372549019607844,0.8215686274509804,0.8058823529411765,0.7901960784313726,0.7745098039215685,0.7588235294117647,0.7431372549019608,0.7274509803921569,0.7117647058823531,0.696078431372549,0.6803921568627451,0.6647058823529413,0.6490196078431372,0.6333333333333333,0.6176470588235294,0.6019607843137256,0.5862745098039217,0.5705882352941176,0.5549019607843138,0.5392156862745099,0.5235294117647058,0.5078431372549019,0.4921568627450981,0.4764705882352942,0.4607843137254903,0.4450980392156865,0.4294117647058826,0.4137254901960783,0.3980392156862744,0.3823529411764706,0.3666666666666667,0.3509803921568628,0.335294117647059,0.3196078431372551,0.3039215686274508,0.2882352941176469,0.2725490196078431,0.2568627450980392,0.2411764705882353,0.2254901960784315,0.2098039215686276,0.1941176470588237,0.1784313725490199,0.1627450980392156,0.1470588235294117,0.1313725490196078,0.115686274509804,0.1000000000000001,0.08431372549019622,0.06862745098039236,0.05294117647058805,0.03725490196078418,0.02156862745098032,0.00588235294117645,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0};
+            float r[] = {0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.00588235294117645f,0.02156862745098032f,0.03725490196078418f,0.05294117647058827f,0.06862745098039214f,0.084313725490196f,0.1000000000000001f,0.115686274509804f,0.1313725490196078f,0.1470588235294117f,0.1627450980392156f,0.1784313725490196f,0.1941176470588235f,0.2098039215686274f,0.2254901960784315f,0.2411764705882353f,0.2568627450980392f,0.2725490196078431f,0.2882352941176469f,0.303921568627451f,0.3196078431372549f,0.3352941176470587f,0.3509803921568628f,0.3666666666666667f,0.3823529411764706f,0.3980392156862744f,0.4137254901960783f,0.4294117647058824f,0.4450980392156862f,0.4607843137254901f,0.4764705882352942f,0.4921568627450981f,0.5078431372549019f,0.5235294117647058f,0.5392156862745097f,0.5549019607843135f,0.5705882352941174f,0.5862745098039217f,0.6019607843137256f,0.6176470588235294f,0.6333333333333333f,0.6490196078431372f,0.664705882352941f,0.6803921568627449f,0.6960784313725492f,0.7117647058823531f,0.7274509803921569f,0.7431372549019608f,0.7588235294117647f,0.7745098039215685f,0.7901960784313724f,0.8058823529411763f,0.8215686274509801f,0.8372549019607844f,0.8529411764705883f,0.8686274509803922f,0.884313725490196f,0.8999999999999999f,0.9156862745098038f,0.9313725490196076f,0.947058823529412f,0.9627450980392158f,0.9784313725490197f,0.9941176470588236f,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.9862745098039216f,0.9705882352941178f,0.9549019607843139f,0.93921568627451f,0.9235294117647062f,0.9078431372549018f,0.892156862745098f,0.8764705882352941f,0.8607843137254902f,0.8450980392156864f,0.8294117647058825f,0.8137254901960786f,0.7980392156862743f,0.7823529411764705f,0.7666666666666666f,0.7509803921568627f,0.7352941176470589f,0.719607843137255f,0.7039215686274511f,0.6882352941176473f,0.6725490196078434f,0.6568627450980391f,0.6411764705882352f,0.6254901960784314f,0.6098039215686275f,0.5941176470588236f,0.5784313725490198f,0.5627450980392159f,0.5470588235294116f,0.5313725490196077f,0.5156862745098039f,0.5f};
+            float g[] = {0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.001960784313725483f,0.01764705882352935f,0.03333333333333333f,0.0490196078431373f,0.06470588235294117f,0.08039215686274503f,0.09607843137254901f,0.111764705882353f,0.1274509803921569f,0.1431372549019607f,0.1588235294117647f,0.1745098039215687f,0.1901960784313725f,0.2058823529411764f,0.2215686274509804f,0.2372549019607844f,0.2529411764705882f,0.2686274509803921f,0.2843137254901961f,0.3f,0.3156862745098039f,0.3313725490196078f,0.3470588235294118f,0.3627450980392157f,0.3784313725490196f,0.3941176470588235f,0.4098039215686274f,0.4254901960784314f,0.4411764705882353f,0.4568627450980391f,0.4725490196078431f,0.4882352941176471f,0.503921568627451f,0.5196078431372548f,0.5352941176470587f,0.5509803921568628f,0.5666666666666667f,0.5823529411764705f,0.5980392156862746f,0.6137254901960785f,0.6294117647058823f,0.6450980392156862f,0.6607843137254901f,0.6764705882352942f,0.692156862745098f,0.7078431372549019f,0.723529411764706f,0.7392156862745098f,0.7549019607843137f,0.7705882352941176f,0.7862745098039214f,0.8019607843137255f,0.8176470588235294f,0.8333333333333333f,0.8490196078431373f,0.8647058823529412f,0.8803921568627451f,0.8960784313725489f,0.9117647058823528f,0.9274509803921569f,0.9431372549019608f,0.9588235294117646f,0.9745098039215687f,0.9901960784313726f,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.9901960784313726f,0.9745098039215687f,0.9588235294117649f,0.943137254901961f,0.9274509803921571f,0.9117647058823528f,0.8960784313725489f,0.8803921568627451f,0.8647058823529412f,0.8490196078431373f,0.8333333333333335f,0.8176470588235296f,0.8019607843137253f,0.7862745098039214f,0.7705882352941176f,0.7549019607843137f,0.7392156862745098f,0.723529411764706f,0.7078431372549021f,0.6921568627450982f,0.6764705882352944f,0.6607843137254901f,0.6450980392156862f,0.6294117647058823f,0.6137254901960785f,0.5980392156862746f,0.5823529411764707f,0.5666666666666669f,0.5509803921568626f,0.5352941176470587f,0.5196078431372548f,0.503921568627451f,0.4882352941176471f,0.4725490196078432f,0.4568627450980394f,0.4411764705882355f,0.4254901960784316f,0.4098039215686273f,0.3941176470588235f,0.3784313725490196f,0.3627450980392157f,0.3470588235294119f,0.331372549019608f,0.3156862745098041f,0.2999999999999998f,0.284313725490196f,0.2686274509803921f,0.2529411764705882f,0.2372549019607844f,0.2215686274509805f,0.2058823529411766f,0.1901960784313728f,0.1745098039215689f,0.1588235294117646f,0.1431372549019607f,0.1274509803921569f,0.111764705882353f,0.09607843137254912f,0.08039215686274526f,0.06470588235294139f,0.04901960784313708f,0.03333333333333321f,0.01764705882352935f,0.001960784313725483f,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0};
+            float b[] = {0.5f,0.5156862745098039f,0.5313725490196078f,0.5470588235294118f,0.5627450980392157f,0.5784313725490196f,0.5941176470588235f,0.6098039215686275f,0.6254901960784314f,0.6411764705882352f,0.6568627450980392f,0.6725490196078432f,0.6882352941176471f,0.7039215686274509f,0.7196078431372549f,0.7352941176470589f,0.7509803921568627f,0.7666666666666666f,0.7823529411764706f,0.7980392156862746f,0.8137254901960784f,0.8294117647058823f,0.8450980392156863f,0.8607843137254902f,0.8764705882352941f,0.892156862745098f,0.907843137254902f,0.9235294117647059f,0.9392156862745098f,0.9549019607843137f,0.9705882352941176f,0.9862745098039216f,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.9941176470588236f,0.9784313725490197f,0.9627450980392158f,0.9470588235294117f,0.9313725490196079f,0.915686274509804f,0.8999999999999999f,0.884313725490196f,0.8686274509803922f,0.8529411764705883f,0.8372549019607844f,0.8215686274509804f,0.8058823529411765f,0.7901960784313726f,0.7745098039215685f,0.7588235294117647f,0.7431372549019608f,0.7274509803921569f,0.7117647058823531f,0.696078431372549f,0.6803921568627451f,0.6647058823529413f,0.6490196078431372f,0.6333333333333333f,0.6176470588235294f,0.6019607843137256f,0.5862745098039217f,0.5705882352941176f,0.5549019607843138f,0.5392156862745099f,0.5235294117647058f,0.5078431372549019f,0.4921568627450981f,0.4764705882352942f,0.4607843137254903f,0.4450980392156865f,0.4294117647058826f,0.4137254901960783f,0.3980392156862744f,0.3823529411764706f,0.3666666666666667f,0.3509803921568628f,0.335294117647059f,0.3196078431372551f,0.3039215686274508f,0.2882352941176469f,0.2725490196078431f,0.2568627450980392f,0.2411764705882353f,0.2254901960784315f,0.2098039215686276f,0.1941176470588237f,0.1784313725490199f,0.1627450980392156f,0.1470588235294117f,0.1313725490196078f,0.115686274509804f,0.1000000000000001f,0.08431372549019622f,0.06862745098039236f,0.05294117647058805f,0.03725490196078418f,0.02156862745098032f,0.00588235294117645f,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0};
             // now build lookup table
             this->_lut = ColorMap::linear_colormap(X,
                     Mat(256,1, CV_32FC1, r).clone(), // red
@@ -266,9 +266,9 @@ namespace colormap
         }
 
         void init(int n) {
-            float r[] = {0.0, 0.0,  0.0, 0.0,  0.0, 0.0,  0.0, 0.0,  0.0, 0.0,  0.0};
-            float g[] = {0.0, 0.1,  0.2, 0.3,  0.4, 0.5,  0.6, 0.7,  0.8, 0.9,  1.0};
-            float b[] = {1.0, 0.95, 0.9, 0.85, 0.8, 0.75, 0.7, 0.65, 0.6, 0.55, 0.5};
+            float r[] = {0.0f, 0.0f,  0.0f, 0.0f,  0.0f, 0.0f,  0.0f, 0.0f,  0.0f, 0.0f,  0.0f};
+            float g[] = {0.0f, 0.1f,  0.2f, 0.3f,  0.4f, 0.5f,  0.6f, 0.7f,  0.8f, 0.9f,  1.0f,};
+            float b[] = {1.0, 0.95f, 0.9f, 0.85f, 0.8f, 0.75f, 0.7f, 0.65f, 0.6f, 0.55f, 0.5f};
             Mat X = linspace(0,1,11);
             this->_lut = ColorMap::linear_colormap(X,
                     Mat(11,1, CV_32FC1, r).clone(), // red
@@ -290,9 +290,9 @@ namespace colormap
         }
 
         void init(int n) {
-            float r[] = { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.9365079365079367, 0.8571428571428572, 0.7777777777777777, 0.6984126984126986, 0.6190476190476191, 0.53968253968254, 0.4603174603174605, 0.3809523809523814, 0.3015873015873018, 0.2222222222222223, 0.1428571428571432, 0.06349206349206415, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.03174603174603208, 0.08465608465608465, 0.1375661375661377, 0.1904761904761907, 0.2433862433862437, 0.2962962962962963, 0.3492063492063493, 0.4021164021164023, 0.4550264550264553, 0.5079365079365079, 0.5608465608465609, 0.6137566137566139, 0.666666666666667};
-            float g[] = { 0, 0.03968253968253968, 0.07936507936507936, 0.119047619047619, 0.1587301587301587, 0.1984126984126984, 0.2380952380952381, 0.2777777777777778, 0.3174603174603174, 0.3571428571428571, 0.3968253968253968, 0.4365079365079365, 0.4761904761904762, 0.5158730158730158, 0.5555555555555556, 0.5952380952380952, 0.6349206349206349, 0.6746031746031745, 0.7142857142857142, 0.753968253968254, 0.7936507936507936, 0.8333333333333333, 0.873015873015873, 0.9126984126984127, 0.9523809523809523, 0.992063492063492, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.9841269841269842, 0.9047619047619047, 0.8253968253968256, 0.7460317460317465, 0.666666666666667, 0.587301587301587, 0.5079365079365079, 0.4285714285714288, 0.3492063492063493, 0.2698412698412698, 0.1904761904761907, 0.1111111111111116, 0.03174603174603208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0};
-            float b[] = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.01587301587301582, 0.09523809523809534, 0.1746031746031744, 0.2539682539682535, 0.333333333333333, 0.412698412698413, 0.4920634920634921, 0.5714285714285712, 0.6507936507936507, 0.7301587301587302, 0.8095238095238093, 0.8888888888888884, 0.9682539682539679, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
+            float r[] = { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.9365079365079367f, 0.8571428571428572f, 0.7777777777777777f, 0.6984126984126986f, 0.6190476190476191f, 0.53968253968254f, 0.4603174603174605f, 0.3809523809523814f, 0.3015873015873018f, 0.2222222222222223f, 0.1428571428571432f, 0.06349206349206415f, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.03174603174603208f, 0.08465608465608465f, 0.1375661375661377f, 0.1904761904761907f, 0.2433862433862437f, 0.2962962962962963f, 0.3492063492063493f, 0.4021164021164023f, 0.4550264550264553f, 0.5079365079365079f, 0.5608465608465609f, 0.6137566137566139f, 0.666666666666667f};
+            float g[] = { 0, 0.03968253968253968f, 0.07936507936507936f, 0.119047619047619f, 0.1587301587301587f, 0.1984126984126984f, 0.2380952380952381f, 0.2777777777777778f, 0.3174603174603174f, 0.3571428571428571f, 0.3968253968253968f, 0.4365079365079365f, 0.4761904761904762f, 0.5158730158730158f, 0.5555555555555556f, 0.5952380952380952f, 0.6349206349206349f, 0.6746031746031745f, 0.7142857142857142f, 0.753968253968254f, 0.7936507936507936f, 0.8333333333333333f, 0.873015873015873f, 0.9126984126984127f, 0.9523809523809523f, 0.992063492063492f, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.9841269841269842f, 0.9047619047619047f, 0.8253968253968256f, 0.7460317460317465f, 0.666666666666667f, 0.587301587301587f, 0.5079365079365079f, 0.4285714285714288f, 0.3492063492063493f, 0.2698412698412698f, 0.1904761904761907f, 0.1111111111111116f, 0.03174603174603208f, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0};
+            float b[] = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.01587301587301582f, 0.09523809523809534f, 0.1746031746031744f, 0.2539682539682535f, 0.333333333333333f, 0.412698412698413f, 0.4920634920634921f, 0.5714285714285712f, 0.6507936507936507f, 0.7301587301587302f, 0.8095238095238093f, 0.8888888888888884f, 0.9682539682539679f, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
             Mat X = linspace(0,1,64);
             this->_lut = ColorMap::linear_colormap(X,
                     Mat(64,1, CV_32FC1, r).clone(), // red
@@ -314,9 +314,9 @@ namespace colormap
         }
 
         void init(int n) {
-            float r[] = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.04761904761904762, 0.09523809523809523, 0.1428571428571428, 0.1904761904761905, 0.2380952380952381, 0.2857142857142857, 0.3333333333333333, 0.3809523809523809, 0.4285714285714285, 0.4761904761904762, 0.5238095238095238, 0.5714285714285714, 0.6190476190476191, 0.6666666666666666, 0.7142857142857143, 0.7619047619047619, 0.8095238095238095, 0.8571428571428571, 0.9047619047619048, 0.9523809523809523, 1};
-            float g[] = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.02380952380952381, 0.04761904761904762, 0.07142857142857142, 0.09523809523809523, 0.119047619047619, 0.1428571428571428, 0.1666666666666667, 0.1904761904761905, 0.2142857142857143, 0.2380952380952381, 0.2619047619047619, 0.2857142857142857, 0.3095238095238095, 0.3333333333333333, 0.3571428571428572, 0.3809523809523809, 0.4047619047619048, 0.4285714285714285, 0.4523809523809524, 0.4761904761904762, 0.5, 0.5238095238095238, 0.5476190476190477, 0.5714285714285714, 0.5952380952380952, 0.6190476190476191, 0.6428571428571429, 0.6666666666666666, 0.6904761904761905, 0.7142857142857143, 0.7380952380952381, 0.7619047619047619, 0.7857142857142857, 0.8095238095238095, 0.8333333333333334, 0.8571428571428571, 0.8809523809523809, 0.9047619047619048, 0.9285714285714286, 0.9523809523809523, 0.9761904761904762, 1};
-            float b[] = { 0, 0.01587301587301587, 0.03174603174603174, 0.04761904761904762, 0.06349206349206349, 0.07936507936507936, 0.09523809523809523, 0.1111111111111111, 0.126984126984127, 0.1428571428571428, 0.1587301587301587, 0.1746031746031746, 0.1904761904761905, 0.2063492063492063, 0.2222222222222222, 0.2380952380952381, 0.253968253968254, 0.2698412698412698, 0.2857142857142857, 0.3015873015873016, 0.3174603174603174, 0.3333333333333333, 0.3492063492063492, 0.3650793650793651, 0.3809523809523809, 0.3968253968253968, 0.4126984126984127, 0.4285714285714285, 0.4444444444444444, 0.4603174603174603, 0.4761904761904762, 0.492063492063492, 0.5079365079365079, 0.5238095238095238, 0.5396825396825397, 0.5555555555555556, 0.5714285714285714, 0.5873015873015873, 0.6031746031746031, 0.6190476190476191, 0.6349206349206349, 0.6507936507936508, 0.6666666666666666, 0.6825396825396826, 0.6984126984126984, 0.7142857142857143, 0.7301587301587301, 0.746031746031746, 0.7619047619047619, 0.7777777777777778, 0.7936507936507936, 0.8095238095238095, 0.8253968253968254, 0.8412698412698413, 0.8571428571428571, 0.873015873015873, 0.8888888888888888, 0.9047619047619048, 0.9206349206349206, 0.9365079365079365, 0.9523809523809523, 0.9682539682539683, 0.9841269841269841, 1};
+            float r[] = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.04761904761904762f, 0.09523809523809523f, 0.1428571428571428f, 0.1904761904761905f, 0.2380952380952381f, 0.2857142857142857f, 0.3333333333333333f, 0.3809523809523809f, 0.4285714285714285f, 0.4761904761904762f, 0.5238095238095238f, 0.5714285714285714f, 0.6190476190476191f, 0.6666666666666666f, 0.7142857142857143f, 0.7619047619047619f, 0.8095238095238095f, 0.8571428571428571f, 0.9047619047619048f, 0.9523809523809523f, 1};
+            float g[] = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.02380952380952381f, 0.04761904761904762f, 0.07142857142857142f, 0.09523809523809523f, 0.119047619047619f, 0.1428571428571428f, 0.1666666666666667f, 0.1904761904761905f, 0.2142857142857143f, 0.2380952380952381f, 0.2619047619047619f, 0.2857142857142857f, 0.3095238095238095f, 0.3333333333333333f, 0.3571428571428572f, 0.3809523809523809f, 0.4047619047619048f, 0.4285714285714285f, 0.4523809523809524f, 0.4761904761904762f, 0.5f, 0.5238095238095238f, 0.5476190476190477f, 0.5714285714285714f, 0.5952380952380952f, 0.6190476190476191f, 0.6428571428571429f, 0.6666666666666666f, 0.6904761904761905f, 0.7142857142857143f, 0.7380952380952381f, 0.7619047619047619f, 0.7857142857142857f, 0.8095238095238095f, 0.8333333333333334f, 0.8571428571428571f, 0.8809523809523809f, 0.9047619047619048f, 0.9285714285714286f, 0.9523809523809523f, 0.9761904761904762f, 1};
+            float b[] = { 0, 0.01587301587301587f, 0.03174603174603174f, 0.04761904761904762f, 0.06349206349206349f, 0.07936507936507936f, 0.09523809523809523f, 0.1111111111111111f, 0.126984126984127f, 0.1428571428571428f, 0.1587301587301587f, 0.1746031746031746f, 0.1904761904761905f, 0.2063492063492063f, 0.2222222222222222f, 0.2380952380952381f, 0.253968253968254f, 0.2698412698412698f, 0.2857142857142857f, 0.3015873015873016f, 0.3174603174603174f, 0.3333333333333333f, 0.3492063492063492f, 0.3650793650793651f, 0.3809523809523809f, 0.3968253968253968f, 0.4126984126984127f, 0.4285714285714285f, 0.4444444444444444f, 0.4603174603174603f, 0.4761904761904762f, 0.492063492063492f, 0.5079365079365079f, 0.5238095238095238f, 0.5396825396825397f, 0.5555555555555556f, 0.5714285714285714f, 0.5873015873015873f, 0.6031746031746031f, 0.6190476190476191f, 0.6349206349206349f, 0.6507936507936508f, 0.6666666666666666f, 0.6825396825396826f, 0.6984126984126984f, 0.7142857142857143f, 0.7301587301587301f, 0.746031746031746f, 0.7619047619047619f, 0.7777777777777778f, 0.7936507936507936f, 0.8095238095238095f, 0.8253968253968254f, 0.8412698412698413f, 0.8571428571428571f, 0.873015873015873f, 0.8888888888888888f, 0.9047619047619048f, 0.9206349206349206f, 0.9365079365079365f, 0.9523809523809523f, 0.9682539682539683f, 0.9841269841269841f, 1};
             Mat X = linspace(0,1,64);
             this->_lut = ColorMap::linear_colormap(X,
                     Mat(64,1, CV_32FC1, r).clone(), // red
@@ -338,9 +338,9 @@ namespace colormap
         }
 
         void init(int n) {
-            float r[] = { 0, 0.01587301587301587, 0.03174603174603174, 0.04761904761904762, 0.06349206349206349, 0.07936507936507936, 0.09523809523809523, 0.1111111111111111, 0.126984126984127, 0.1428571428571428, 0.1587301587301587, 0.1746031746031746, 0.1904761904761905, 0.2063492063492063, 0.2222222222222222, 0.2380952380952381, 0.253968253968254, 0.2698412698412698, 0.2857142857142857, 0.3015873015873016, 0.3174603174603174, 0.3333333333333333, 0.3492063492063492, 0.3650793650793651, 0.3809523809523809, 0.3968253968253968, 0.4126984126984127, 0.4285714285714285, 0.4444444444444444, 0.4603174603174603, 0.4761904761904762, 0.492063492063492, 0.5079365079365079, 0.5238095238095238, 0.5396825396825397, 0.5555555555555556, 0.5714285714285714, 0.5873015873015873, 0.6031746031746031, 0.6190476190476191, 0.6349206349206349, 0.6507936507936508, 0.6666666666666666, 0.6825396825396826, 0.6984126984126984, 0.7142857142857143, 0.7301587301587301, 0.746031746031746, 0.7619047619047619, 0.7777777777777778, 0.7936507936507936, 0.8095238095238095, 0.8253968253968254, 0.8412698412698413, 0.8571428571428571, 0.873015873015873, 0.8888888888888888, 0.9047619047619048, 0.9206349206349206, 0.9365079365079365, 0.9523809523809523, 0.9682539682539683, 0.9841269841269841, 1};
-            float g[] = { 0.5, 0.5079365079365079, 0.5158730158730158, 0.5238095238095238, 0.5317460317460317, 0.5396825396825397, 0.5476190476190477, 0.5555555555555556, 0.5634920634920635, 0.5714285714285714, 0.5793650793650793, 0.5873015873015873, 0.5952380952380952, 0.6031746031746031, 0.6111111111111112, 0.6190476190476191, 0.626984126984127, 0.6349206349206349, 0.6428571428571428, 0.6507936507936508, 0.6587301587301587, 0.6666666666666666, 0.6746031746031746, 0.6825396825396826, 0.6904761904761905, 0.6984126984126984, 0.7063492063492063, 0.7142857142857143, 0.7222222222222222, 0.7301587301587301, 0.7380952380952381, 0.746031746031746, 0.753968253968254, 0.7619047619047619, 0.7698412698412698, 0.7777777777777778, 0.7857142857142857, 0.7936507936507937, 0.8015873015873016, 0.8095238095238095, 0.8174603174603174, 0.8253968253968254, 0.8333333333333333, 0.8412698412698413, 0.8492063492063492, 0.8571428571428572, 0.8650793650793651, 0.873015873015873, 0.8809523809523809, 0.8888888888888888, 0.8968253968253967, 0.9047619047619048, 0.9126984126984127, 0.9206349206349207, 0.9285714285714286, 0.9365079365079365, 0.9444444444444444, 0.9523809523809523, 0.9603174603174602, 0.9682539682539683, 0.9761904761904762, 0.9841269841269842, 0.9920634920634921, 1};
-            float b[] = { 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4};
+            float r[] = { 0, 0.01587301587301587f, 0.03174603174603174f, 0.04761904761904762f, 0.06349206349206349f, 0.07936507936507936f, 0.09523809523809523f, 0.1111111111111111f, 0.126984126984127f, 0.1428571428571428f, 0.1587301587301587f, 0.1746031746031746f, 0.1904761904761905f, 0.2063492063492063f, 0.2222222222222222f, 0.2380952380952381f, 0.253968253968254f, 0.2698412698412698f, 0.2857142857142857f, 0.3015873015873016f, 0.3174603174603174f, 0.3333333333333333f, 0.3492063492063492f, 0.3650793650793651f, 0.3809523809523809f, 0.3968253968253968f, 0.4126984126984127f, 0.4285714285714285f, 0.4444444444444444f, 0.4603174603174603f, 0.4761904761904762f, 0.492063492063492f, 0.5079365079365079f, 0.5238095238095238f, 0.5396825396825397f, 0.5555555555555556f, 0.5714285714285714f, 0.5873015873015873f, 0.6031746031746031f, 0.6190476190476191f, 0.6349206349206349f, 0.6507936507936508f, 0.6666666666666666f, 0.6825396825396826f, 0.6984126984126984f, 0.7142857142857143f, 0.7301587301587301f, 0.746031746031746f, 0.7619047619047619f, 0.7777777777777778f, 0.7936507936507936f, 0.8095238095238095f, 0.8253968253968254f, 0.8412698412698413f, 0.8571428571428571f, 0.873015873015873f, 0.8888888888888888f, 0.9047619047619048f, 0.9206349206349206f, 0.9365079365079365f, 0.9523809523809523f, 0.9682539682539683f, 0.9841269841269841f, 1};
+            float g[] = { 0.5f, 0.5079365079365079f, 0.5158730158730158f, 0.5238095238095238f, 0.5317460317460317f, 0.5396825396825397f, 0.5476190476190477f, 0.5555555555555556f, 0.5634920634920635f, 0.5714285714285714f, 0.5793650793650793f, 0.5873015873015873f, 0.5952380952380952f, 0.6031746031746031f, 0.6111111111111112f, 0.6190476190476191f, 0.626984126984127f, 0.6349206349206349f, 0.6428571428571428f, 0.6507936507936508f, 0.6587301587301587f, 0.6666666666666666f, 0.6746031746031746f, 0.6825396825396826f, 0.6904761904761905f, 0.6984126984126984f, 0.7063492063492063f, 0.7142857142857143f, 0.7222222222222222f, 0.7301587301587301f, 0.7380952380952381f, 0.746031746031746f, 0.753968253968254f, 0.7619047619047619f, 0.7698412698412698f, 0.7777777777777778f, 0.7857142857142857f, 0.7936507936507937f, 0.8015873015873016f, 0.8095238095238095f, 0.8174603174603174f, 0.8253968253968254f, 0.8333333333333333f, 0.8412698412698413f, 0.8492063492063492f, 0.8571428571428572f, 0.8650793650793651f, 0.873015873015873f, 0.8809523809523809f, 0.8888888888888888f, 0.8968253968253967f, 0.9047619047619048f, 0.9126984126984127f, 0.9206349206349207f, 0.9285714285714286f, 0.9365079365079365f, 0.9444444444444444f, 0.9523809523809523f, 0.9603174603174602f, 0.9682539682539683f, 0.9761904761904762f, 0.9841269841269842f, 0.9920634920634921f, 1};
+            float b[] = { 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f, 0.4f};
             Mat X = linspace(0,1,64);
             this->_lut = ColorMap::linear_colormap(X,
                     Mat(64,1, CV_32FC1, r).clone(), // red
@@ -363,8 +363,8 @@ namespace colormap
 
         void init(int n) {
             float r[] = { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
-            float g[] = { 0, 0.01587301587301587, 0.03174603174603174, 0.04761904761904762, 0.06349206349206349, 0.07936507936507936, 0.09523809523809523, 0.1111111111111111, 0.126984126984127, 0.1428571428571428, 0.1587301587301587, 0.1746031746031746, 0.1904761904761905, 0.2063492063492063, 0.2222222222222222, 0.2380952380952381, 0.253968253968254, 0.2698412698412698, 0.2857142857142857, 0.3015873015873016, 0.3174603174603174, 0.3333333333333333, 0.3492063492063492, 0.3650793650793651, 0.3809523809523809, 0.3968253968253968, 0.4126984126984127, 0.4285714285714285, 0.4444444444444444, 0.4603174603174603, 0.4761904761904762, 0.492063492063492, 0.5079365079365079, 0.5238095238095238, 0.5396825396825397, 0.5555555555555556, 0.5714285714285714, 0.5873015873015873, 0.6031746031746031, 0.6190476190476191, 0.6349206349206349, 0.6507936507936508, 0.6666666666666666, 0.6825396825396826, 0.6984126984126984, 0.7142857142857143, 0.7301587301587301, 0.746031746031746, 0.7619047619047619, 0.7777777777777778, 0.7936507936507936, 0.8095238095238095, 0.8253968253968254, 0.8412698412698413, 0.8571428571428571, 0.873015873015873, 0.8888888888888888, 0.9047619047619048, 0.9206349206349206, 0.9365079365079365, 0.9523809523809523, 0.9682539682539683, 0.9841269841269841, 1};
-            float b[] = { 1, 0.9841269841269842, 0.9682539682539683, 0.9523809523809523, 0.9365079365079365, 0.9206349206349207, 0.9047619047619048, 0.8888888888888888, 0.873015873015873, 0.8571428571428572, 0.8412698412698413, 0.8253968253968254, 0.8095238095238095, 0.7936507936507937, 0.7777777777777778, 0.7619047619047619, 0.746031746031746, 0.7301587301587302, 0.7142857142857143, 0.6984126984126984, 0.6825396825396826, 0.6666666666666667, 0.6507936507936508, 0.6349206349206349, 0.6190476190476191, 0.6031746031746033, 0.5873015873015873, 0.5714285714285714, 0.5555555555555556, 0.5396825396825398, 0.5238095238095238, 0.5079365079365079, 0.4920634920634921, 0.4761904761904762, 0.4603174603174603, 0.4444444444444444, 0.4285714285714286, 0.4126984126984127, 0.3968253968253969, 0.3809523809523809, 0.3650793650793651, 0.3492063492063492, 0.3333333333333334, 0.3174603174603174, 0.3015873015873016, 0.2857142857142857, 0.2698412698412699, 0.253968253968254, 0.2380952380952381, 0.2222222222222222, 0.2063492063492064, 0.1904761904761905, 0.1746031746031746, 0.1587301587301587, 0.1428571428571429, 0.126984126984127, 0.1111111111111112, 0.09523809523809523, 0.07936507936507942, 0.06349206349206349, 0.04761904761904767, 0.03174603174603174, 0.01587301587301593, 0};
+            float g[] = { 0, 0.01587301587301587f, 0.03174603174603174f, 0.04761904761904762f, 0.06349206349206349f, 0.07936507936507936f, 0.09523809523809523f, 0.1111111111111111f, 0.126984126984127f, 0.1428571428571428f, 0.1587301587301587f, 0.1746031746031746f, 0.1904761904761905f, 0.2063492063492063f, 0.2222222222222222f, 0.2380952380952381f, 0.253968253968254f, 0.2698412698412698f, 0.2857142857142857f, 0.3015873015873016f, 0.3174603174603174f, 0.3333333333333333f, 0.3492063492063492f, 0.3650793650793651f, 0.3809523809523809f, 0.3968253968253968f, 0.4126984126984127f, 0.4285714285714285f, 0.4444444444444444f, 0.4603174603174603f, 0.4761904761904762f, 0.492063492063492f, 0.5079365079365079f, 0.5238095238095238f, 0.5396825396825397f, 0.5555555555555556f, 0.5714285714285714f, 0.5873015873015873f, 0.6031746031746031f, 0.6190476190476191f, 0.6349206349206349f, 0.6507936507936508f, 0.6666666666666666f, 0.6825396825396826f, 0.6984126984126984f, 0.7142857142857143f, 0.7301587301587301f, 0.746031746031746f, 0.7619047619047619f, 0.7777777777777778f, 0.7936507936507936f, 0.8095238095238095f, 0.8253968253968254f, 0.8412698412698413f, 0.8571428571428571f, 0.873015873015873f, 0.8888888888888888f, 0.9047619047619048f, 0.9206349206349206f, 0.9365079365079365f, 0.9523809523809523f, 0.9682539682539683f, 0.9841269841269841f, 1};
+            float b[] = { 1, 0.9841269841269842f, 0.9682539682539683f, 0.9523809523809523f, 0.9365079365079365f, 0.9206349206349207f, 0.9047619047619048f, 0.8888888888888888f, 0.873015873015873f, 0.8571428571428572f, 0.8412698412698413f, 0.8253968253968254f, 0.8095238095238095f, 0.7936507936507937f, 0.7777777777777778f, 0.7619047619047619f, 0.746031746031746f, 0.7301587301587302f, 0.7142857142857143f, 0.6984126984126984f, 0.6825396825396826f, 0.6666666666666667f, 0.6507936507936508f, 0.6349206349206349f, 0.6190476190476191f, 0.6031746031746033f, 0.5873015873015873f, 0.5714285714285714f, 0.5555555555555556f, 0.5396825396825398f, 0.5238095238095238f, 0.5079365079365079f, 0.4920634920634921f, 0.4761904761904762f, 0.4603174603174603f, 0.4444444444444444f, 0.4285714285714286f, 0.4126984126984127f, 0.3968253968253969f, 0.3809523809523809f, 0.3650793650793651f, 0.3492063492063492f, 0.3333333333333334f, 0.3174603174603174f, 0.3015873015873016f, 0.2857142857142857f, 0.2698412698412699f, 0.253968253968254f, 0.2380952380952381f, 0.2222222222222222f, 0.2063492063492064f, 0.1904761904761905f, 0.1746031746031746f, 0.1587301587301587f, 0.1428571428571429f, 0.126984126984127f, 0.1111111111111112f, 0.09523809523809523f, 0.07936507936507942f, 0.06349206349206349f, 0.04761904761904767f, 0.03174603174603174f, 0.01587301587301593f, 0};
             Mat X = linspace(0,1,64);
             this->_lut = ColorMap::linear_colormap(X,
                     Mat(64,1, CV_32FC1, r).clone(), // red
@@ -386,8 +386,8 @@ namespace colormap
         }
 
         void init(int n) {
-            float r[] = { 0, 0.01587301587301587, 0.03174603174603174, 0.04761904761904762, 0.06349206349206349, 0.07936507936507936, 0.09523809523809523, 0.1111111111111111, 0.126984126984127, 0.1428571428571428, 0.1587301587301587, 0.1746031746031746, 0.1904761904761905, 0.2063492063492063, 0.2222222222222222, 0.2380952380952381, 0.253968253968254, 0.2698412698412698, 0.2857142857142857, 0.3015873015873016, 0.3174603174603174, 0.3333333333333333, 0.3492063492063492, 0.3650793650793651, 0.3809523809523809, 0.3968253968253968, 0.4126984126984127, 0.4285714285714285, 0.4444444444444444, 0.4603174603174603, 0.4761904761904762, 0.492063492063492, 0.5079365079365079, 0.5238095238095238, 0.5396825396825397, 0.5555555555555556, 0.5714285714285714, 0.5873015873015873, 0.6031746031746031, 0.6190476190476191, 0.6349206349206349, 0.6507936507936508, 0.6666666666666666, 0.6825396825396826, 0.6984126984126984, 0.7142857142857143, 0.7301587301587301, 0.746031746031746, 0.7619047619047619, 0.7777777777777778, 0.7936507936507936, 0.8095238095238095, 0.8253968253968254, 0.8412698412698413, 0.8571428571428571, 0.873015873015873, 0.8888888888888888, 0.9047619047619048, 0.9206349206349206, 0.9365079365079365, 0.9523809523809523, 0.9682539682539683, 0.9841269841269841, 1};
-            float g[] = { 1, 0.9841269841269842, 0.9682539682539683, 0.9523809523809523, 0.9365079365079365, 0.9206349206349207, 0.9047619047619048, 0.8888888888888888, 0.873015873015873, 0.8571428571428572, 0.8412698412698413, 0.8253968253968254, 0.8095238095238095, 0.7936507936507937, 0.7777777777777778, 0.7619047619047619, 0.746031746031746, 0.7301587301587302, 0.7142857142857143, 0.6984126984126984, 0.6825396825396826, 0.6666666666666667, 0.6507936507936508, 0.6349206349206349, 0.6190476190476191, 0.6031746031746033, 0.5873015873015873, 0.5714285714285714, 0.5555555555555556, 0.5396825396825398, 0.5238095238095238, 0.5079365079365079, 0.4920634920634921, 0.4761904761904762, 0.4603174603174603, 0.4444444444444444, 0.4285714285714286, 0.4126984126984127, 0.3968253968253969, 0.3809523809523809, 0.3650793650793651, 0.3492063492063492, 0.3333333333333334, 0.3174603174603174, 0.3015873015873016, 0.2857142857142857, 0.2698412698412699, 0.253968253968254, 0.2380952380952381, 0.2222222222222222, 0.2063492063492064, 0.1904761904761905, 0.1746031746031746, 0.1587301587301587, 0.1428571428571429, 0.126984126984127, 0.1111111111111112, 0.09523809523809523, 0.07936507936507942, 0.06349206349206349, 0.04761904761904767, 0.03174603174603174, 0.01587301587301593, 0};
+            float r[] = { 0, 0.01587301587301587f, 0.03174603174603174f, 0.04761904761904762f, 0.06349206349206349f, 0.07936507936507936f, 0.09523809523809523f, 0.1111111111111111f, 0.126984126984127f, 0.1428571428571428f, 0.1587301587301587f, 0.1746031746031746f, 0.1904761904761905f, 0.2063492063492063f, 0.2222222222222222f, 0.2380952380952381f, 0.253968253968254f, 0.2698412698412698f, 0.2857142857142857f, 0.3015873015873016f, 0.3174603174603174f, 0.3333333333333333f, 0.3492063492063492f, 0.3650793650793651f, 0.3809523809523809f, 0.3968253968253968f, 0.4126984126984127f, 0.4285714285714285f, 0.4444444444444444f, 0.4603174603174603f, 0.4761904761904762f, 0.492063492063492f, 0.5079365079365079f, 0.5238095238095238f, 0.5396825396825397f, 0.5555555555555556f, 0.5714285714285714f, 0.5873015873015873f, 0.6031746031746031f, 0.6190476190476191f, 0.6349206349206349f, 0.6507936507936508f, 0.6666666666666666f, 0.6825396825396826f, 0.6984126984126984f, 0.7142857142857143f, 0.7301587301587301f, 0.746031746031746f, 0.7619047619047619f, 0.7777777777777778f, 0.7936507936507936f, 0.8095238095238095f, 0.8253968253968254f, 0.8412698412698413f, 0.8571428571428571f, 0.873015873015873f, 0.8888888888888888f, 0.9047619047619048f, 0.9206349206349206f, 0.9365079365079365f, 0.9523809523809523f, 0.9682539682539683f, 0.9841269841269841f, 1};
+            float g[] = { 1, 0.9841269841269842f, 0.9682539682539683f, 0.9523809523809523f, 0.9365079365079365f, 0.9206349206349207f, 0.9047619047619048f, 0.8888888888888888f, 0.873015873015873f, 0.8571428571428572f, 0.8412698412698413f, 0.8253968253968254f, 0.8095238095238095f, 0.7936507936507937f, 0.7777777777777778f, 0.7619047619047619f, 0.746031746031746f, 0.7301587301587302f, 0.7142857142857143f, 0.6984126984126984f, 0.6825396825396826f, 0.6666666666666667f, 0.6507936507936508f, 0.6349206349206349f, 0.6190476190476191f, 0.6031746031746033f, 0.5873015873015873f, 0.5714285714285714f, 0.5555555555555556f, 0.5396825396825398f, 0.5238095238095238f, 0.5079365079365079f, 0.4920634920634921f, 0.4761904761904762f, 0.4603174603174603f, 0.4444444444444444f, 0.4285714285714286f, 0.4126984126984127f, 0.3968253968253969f, 0.3809523809523809f, 0.3650793650793651f, 0.3492063492063492f, 0.3333333333333334f, 0.3174603174603174f, 0.3015873015873016f, 0.2857142857142857f, 0.2698412698412699f, 0.253968253968254f, 0.2380952380952381f, 0.2222222222222222f, 0.2063492063492064f, 0.1904761904761905f, 0.1746031746031746f, 0.1587301587301587f, 0.1428571428571429f, 0.126984126984127f, 0.1111111111111112f, 0.09523809523809523f, 0.07936507936507942f, 0.06349206349206349f, 0.04761904761904767f, 0.03174603174603174f, 0.01587301587301593f, 0};
             float b[] = { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
             Mat X = linspace(0,1,64);
             this->_lut = ColorMap::linear_colormap(X,
@@ -410,9 +410,9 @@ namespace colormap
         }
 
         void init(int n) {
-            float r[] = { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.9523809523809526, 0.8571428571428568, 0.7619047619047614, 0.6666666666666665, 0.5714285714285716, 0.4761904761904763, 0.3809523809523805, 0.2857142857142856, 0.1904761904761907, 0.0952380952380949, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.09523809523809557, 0.1904761904761905, 0.2857142857142854, 0.3809523809523809, 0.4761904761904765, 0.5714285714285714, 0.6666666666666663, 0.7619047619047619, 0.8571428571428574, 0.9523809523809523, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
-            float g[] = { 0, 0.09523809523809523, 0.1904761904761905, 0.2857142857142857, 0.3809523809523809, 0.4761904761904762, 0.5714285714285714, 0.6666666666666666, 0.7619047619047619, 0.8571428571428571, 0.9523809523809523, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.9523809523809526, 0.8571428571428577, 0.7619047619047619, 0.6666666666666665, 0.5714285714285716, 0.4761904761904767, 0.3809523809523814, 0.2857142857142856, 0.1904761904761907, 0.09523809523809579, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0};
-            float b[] = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.09523809523809523, 0.1904761904761905, 0.2857142857142857, 0.3809523809523809, 0.4761904761904762, 0.5714285714285714, 0.6666666666666666, 0.7619047619047619, 0.8571428571428571, 0.9523809523809523, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.9523809523809526, 0.8571428571428577, 0.7619047619047614, 0.6666666666666665, 0.5714285714285716, 0.4761904761904767, 0.3809523809523805, 0.2857142857142856, 0.1904761904761907, 0.09523809523809579, 0};
+            float r[] = { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.9523809523809526f, 0.8571428571428568f, 0.7619047619047614f, 0.6666666666666665f, 0.5714285714285716f, 0.4761904761904763f, 0.3809523809523805f, 0.2857142857142856f, 0.1904761904761907f, 0.0952380952380949f, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.09523809523809557f, 0.1904761904761905f, 0.2857142857142854f, 0.3809523809523809f, 0.4761904761904765f, 0.5714285714285714f, 0.6666666666666663f, 0.7619047619047619f, 0.8571428571428574f, 0.9523809523809523f, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
+            float g[] = { 0, 0.09523809523809523f, 0.1904761904761905f, 0.2857142857142857f, 0.3809523809523809f, 0.4761904761904762f, 0.5714285714285714f, 0.6666666666666666f, 0.7619047619047619f, 0.8571428571428571f, 0.9523809523809523f, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.9523809523809526f, 0.8571428571428577f, 0.7619047619047619f, 0.6666666666666665f, 0.5714285714285716f, 0.4761904761904767f, 0.3809523809523814f, 0.2857142857142856f, 0.1904761904761907f, 0.09523809523809579f, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0};
+            float b[] = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.09523809523809523f, 0.1904761904761905f, 0.2857142857142857f, 0.3809523809523809f, 0.4761904761904762f, 0.5714285714285714f, 0.6666666666666666f, 0.7619047619047619f, 0.8571428571428571f, 0.9523809523809523f, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.9523809523809526f, 0.8571428571428577f, 0.7619047619047614f, 0.6666666666666665f, 0.5714285714285716f, 0.4761904761904767f, 0.3809523809523805f, 0.2857142857142856f, 0.1904761904761907f, 0.09523809523809579f, 0};
             Mat X = linspace(0,1,64);
             this->_lut = ColorMap::linear_colormap(X,
                     Mat(64,1, CV_32FC1, r).clone(), // red
@@ -434,9 +434,9 @@ namespace colormap
         }
 
         void init(int n) {
-            float r[] = { 0, 0.1571348402636772, 0.2222222222222222, 0.2721655269759087, 0.3142696805273544, 0.3513641844631533, 0.3849001794597505, 0.415739709641549, 0.4444444444444444, 0.4714045207910317, 0.4969039949999532, 0.5211573066470477, 0.5443310539518174, 0.5665577237325317, 0.5879447357921312, 0.6085806194501846, 0.6285393610547089, 0.6478835438717, 0.6666666666666666, 0.6849348892187751, 0.7027283689263065, 0.7200822998230956, 0.7370277311900888, 0.753592220347252, 0.7663560447348133, 0.7732293307186413, 0.7800420555749596, 0.7867957924694432, 0.7934920476158722, 0.8001322641986387, 0.8067178260046388, 0.8132500607904444, 0.8197302434079591, 0.8261595987094034, 0.8325393042503717, 0.8388704928078611, 0.8451542547285166, 0.8513916401208816, 0.8575836609041332, 0.8637312927246217, 0.8698354767504924, 0.8758971213537393, 0.8819171036881968, 0.8878962711712378, 0.8938354428762595, 0.8997354108424372, 0.9055969413076769, 0.9114207758701963, 0.9172076325837248, 0.9229582069908971, 0.9286731730990523, 0.9343531843023135, 0.9399988742535192, 0.9456108576893002, 0.9511897312113418, 0.9567360740266436, 0.9622504486493763, 0.9677334015667416, 0.9731854638710686, 0.9786071518602129, 0.9839989676081821, 0.9893613995077727, 0.9946949227868761, 1};
-            float g[] = { 0, 0.1028688999747279, 0.1454785934906616, 0.1781741612749496, 0.2057377999494559, 0.2300218531141181, 0.2519763153394848, 0.2721655269759087, 0.2909571869813232, 0.3086066999241838, 0.3253000243161777, 0.3411775438127727, 0.3563483225498992, 0.3708990935094579, 0.3849001794597505, 0.3984095364447979, 0.4114755998989117, 0.4241393401869012, 0.4364357804719847, 0.4483951394230328, 0.4600437062282361, 0.4714045207910317, 0.4824979096371639, 0.4933419132673033, 0.5091750772173156, 0.5328701692569688, 0.5555555555555556, 0.5773502691896257, 0.5983516452371671, 0.6186404847588913, 0.6382847385042254, 0.6573421981221795, 0.6758625033664688, 0.6938886664887108, 0.7114582486036499, 0.7286042804780002, 0.7453559924999299, 0.7617394000445604, 0.7777777777777778, 0.7934920476158723, 0.8089010988089465, 0.8240220541217402, 0.8388704928078611, 0.8534606386520677, 0.8678055195451838, 0.8819171036881968, 0.8958064164776166, 0.9094836413191612, 0.9172076325837248, 0.9229582069908971, 0.9286731730990523, 0.9343531843023135, 0.9399988742535192, 0.9456108576893002, 0.9511897312113418, 0.9567360740266436, 0.9622504486493763, 0.9677334015667416, 0.9731854638710686, 0.9786071518602129, 0.9839989676081821, 0.9893613995077727, 0.9946949227868761, 1};
-            float b[] = { 0, 0.1028688999747279, 0.1454785934906616, 0.1781741612749496, 0.2057377999494559, 0.2300218531141181, 0.2519763153394848, 0.2721655269759087, 0.2909571869813232, 0.3086066999241838, 0.3253000243161777, 0.3411775438127727, 0.3563483225498992, 0.3708990935094579, 0.3849001794597505, 0.3984095364447979, 0.4114755998989117, 0.4241393401869012, 0.4364357804719847, 0.4483951394230328, 0.4600437062282361, 0.4714045207910317, 0.4824979096371639, 0.4933419132673033, 0.5039526306789697, 0.5143444998736397, 0.5245305283129621, 0.5345224838248488, 0.5443310539518174, 0.5539659798925444, 0.563436169819011, 0.5727497953228163, 0.5819143739626463, 0.5909368402852788, 0.5998236072282915, 0.6085806194501846, 0.6172133998483676, 0.6257270902992705, 0.6341264874742278, 0.642416074439621, 0.6506000486323554, 0.6586823467062358, 0.6666666666666666, 0.6745564876468501, 0.6823550876255453, 0.6900655593423541, 0.6976908246297114, 0.7052336473499384, 0.7237468644557459, 0.7453559924999298, 0.7663560447348133, 0.7867957924694432, 0.8067178260046388, 0.8261595987094034, 0.8451542547285166, 0.8637312927246217, 0.8819171036881968, 0.8997354108424372, 0.9172076325837248, 0.9343531843023135, 0.9511897312113418, 0.9677334015667416, 0.9839989676081821, 1};
+            float r[] = { 0, 0.1571348402636772f, 0.2222222222222222f, 0.2721655269759087f, 0.3142696805273544f, 0.3513641844631533f, 0.3849001794597505f, 0.415739709641549f, 0.4444444444444444f, 0.4714045207910317f, 0.4969039949999532f, 0.5211573066470477f, 0.5443310539518174f, 0.5665577237325317f, 0.5879447357921312f, 0.6085806194501846f, 0.6285393610547089f, 0.6478835438717f, 0.6666666666666666f, 0.6849348892187751f, 0.7027283689263065f, 0.7200822998230956f, 0.7370277311900888f, 0.753592220347252f, 0.7663560447348133f, 0.7732293307186413f, 0.7800420555749596f, 0.7867957924694432f, 0.7934920476158722f, 0.8001322641986387f, 0.8067178260046388f, 0.8132500607904444f, 0.8197302434079591f, 0.8261595987094034f, 0.8325393042503717f, 0.8388704928078611f, 0.8451542547285166f, 0.8513916401208816f, 0.8575836609041332f, 0.8637312927246217f, 0.8698354767504924f, 0.8758971213537393f, 0.8819171036881968f, 0.8878962711712378f, 0.8938354428762595f, 0.8997354108424372f, 0.9055969413076769f, 0.9114207758701963f, 0.9172076325837248f, 0.9229582069908971f, 0.9286731730990523f, 0.9343531843023135f, 0.9399988742535192f, 0.9456108576893002f, 0.9511897312113418f, 0.9567360740266436f, 0.9622504486493763f, 0.9677334015667416f, 0.9731854638710686f, 0.9786071518602129f, 0.9839989676081821f, 0.9893613995077727f, 0.9946949227868761f, 1};
+            float g[] = { 0, 0.1028688999747279f, 0.1454785934906616f, 0.1781741612749496f, 0.2057377999494559f, 0.2300218531141181f, 0.2519763153394848f, 0.2721655269759087f, 0.2909571869813232f, 0.3086066999241838f, 0.3253000243161777f, 0.3411775438127727f, 0.3563483225498992f, 0.3708990935094579f, 0.3849001794597505f, 0.3984095364447979f, 0.4114755998989117f, 0.4241393401869012f, 0.4364357804719847f, 0.4483951394230328f, 0.4600437062282361f, 0.4714045207910317f, 0.4824979096371639f, 0.4933419132673033f, 0.5091750772173156f, 0.5328701692569688f, 0.5555555555555556f, 0.5773502691896257f, 0.5983516452371671f, 0.6186404847588913f, 0.6382847385042254f, 0.6573421981221795f, 0.6758625033664688f, 0.6938886664887108f, 0.7114582486036499f, 0.7286042804780002f, 0.7453559924999299f, 0.7617394000445604f, 0.7777777777777778f, 0.7934920476158723f, 0.8089010988089465f, 0.8240220541217402f, 0.8388704928078611f, 0.8534606386520677f, 0.8678055195451838f, 0.8819171036881968f, 0.8958064164776166f, 0.9094836413191612f, 0.9172076325837248f, 0.9229582069908971f, 0.9286731730990523f, 0.9343531843023135f, 0.9399988742535192f, 0.9456108576893002f, 0.9511897312113418f, 0.9567360740266436f, 0.9622504486493763f, 0.9677334015667416f, 0.9731854638710686f, 0.9786071518602129f, 0.9839989676081821f, 0.9893613995077727f, 0.9946949227868761f, 1};
+            float b[] = { 0, 0.1028688999747279f, 0.1454785934906616f, 0.1781741612749496f, 0.2057377999494559f, 0.2300218531141181f, 0.2519763153394848f, 0.2721655269759087f, 0.2909571869813232f, 0.3086066999241838f, 0.3253000243161777f, 0.3411775438127727f, 0.3563483225498992f, 0.3708990935094579f, 0.3849001794597505f, 0.3984095364447979f, 0.4114755998989117f, 0.4241393401869012f, 0.4364357804719847f, 0.4483951394230328f, 0.4600437062282361f, 0.4714045207910317f, 0.4824979096371639f, 0.4933419132673033f, 0.5039526306789697f, 0.5143444998736397f, 0.5245305283129621f, 0.5345224838248488f, 0.5443310539518174f, 0.5539659798925444f, 0.563436169819011f, 0.5727497953228163f, 0.5819143739626463f, 0.5909368402852788f, 0.5998236072282915f, 0.6085806194501846f, 0.6172133998483676f, 0.6257270902992705f, 0.6341264874742278f, 0.642416074439621f, 0.6506000486323554f, 0.6586823467062358f, 0.6666666666666666f, 0.6745564876468501f, 0.6823550876255453f, 0.6900655593423541f, 0.6976908246297114f, 0.7052336473499384f, 0.7237468644557459f, 0.7453559924999298f, 0.7663560447348133f, 0.7867957924694432f, 0.8067178260046388f, 0.8261595987094034f, 0.8451542547285166f, 0.8637312927246217f, 0.8819171036881968f, 0.8997354108424372f, 0.9172076325837248f, 0.9343531843023135f, 0.9511897312113418f, 0.9677334015667416f, 0.9839989676081821f, 1};
             Mat X = linspace(0,1,64);
             this->_lut = ColorMap::linear_colormap(X,
                     Mat(64,1, CV_32FC1, r).clone(), // red
@@ -458,9 +458,9 @@ namespace colormap
         }
 
         void init(int n) {
-            float r[] = { 0, 0.03968253968253968, 0.07936507936507936, 0.119047619047619, 0.1587301587301587, 0.1984126984126984, 0.2380952380952381, 0.2777777777777778, 0.3174603174603174, 0.3571428571428571, 0.3968253968253968, 0.4365079365079365, 0.4761904761904762, 0.5158730158730158, 0.5555555555555556, 0.5952380952380952, 0.6349206349206349, 0.6746031746031745, 0.7142857142857142, 0.753968253968254, 0.7936507936507936, 0.8333333333333333, 0.873015873015873, 0.9126984126984127, 0.9523809523809523, 0.992063492063492, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
-            float g[] = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.03174603174603163, 0.0714285714285714, 0.1111111111111112, 0.1507936507936507, 0.1904761904761905, 0.23015873015873, 0.2698412698412698, 0.3095238095238093, 0.3492063492063491, 0.3888888888888888, 0.4285714285714284, 0.4682539682539679, 0.5079365079365079, 0.5476190476190477, 0.5873015873015872, 0.6269841269841268, 0.6666666666666665, 0.7063492063492065, 0.746031746031746, 0.7857142857142856, 0.8253968253968254, 0.8650793650793651, 0.9047619047619047, 0.9444444444444442, 0.984126984126984, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
-            float b[] = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.04761904761904745, 0.1269841269841265, 0.2063492063492056, 0.2857142857142856, 0.3650793650793656, 0.4444444444444446, 0.5238095238095237, 0.6031746031746028, 0.6825396825396828, 0.7619047619047619, 0.8412698412698409, 0.92063492063492, 1};
+            float r[] = { 0, 0.03968253968253968f, 0.07936507936507936f, 0.119047619047619f, 0.1587301587301587f, 0.1984126984126984f, 0.2380952380952381f, 0.2777777777777778f, 0.3174603174603174f, 0.3571428571428571f, 0.3968253968253968f, 0.4365079365079365f, 0.4761904761904762f, 0.5158730158730158f, 0.5555555555555556f, 0.5952380952380952f, 0.6349206349206349f, 0.6746031746031745f, 0.7142857142857142f, 0.753968253968254f, 0.7936507936507936f, 0.8333333333333333f, 0.873015873015873f, 0.9126984126984127f, 0.9523809523809523f, 0.992063492063492f, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
+            float g[] = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.03174603174603163f, 0.0714285714285714f, 0.1111111111111112f, 0.1507936507936507f, 0.1904761904761905f, 0.23015873015873f, 0.2698412698412698f, 0.3095238095238093f, 0.3492063492063491f, 0.3888888888888888f, 0.4285714285714284f, 0.4682539682539679f, 0.5079365079365079f, 0.5476190476190477f, 0.5873015873015872f, 0.6269841269841268f, 0.6666666666666665f, 0.7063492063492065f, 0.746031746031746f, 0.7857142857142856f, 0.8253968253968254f, 0.8650793650793651f, 0.9047619047619047f, 0.9444444444444442f, 0.984126984126984f, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
+            float b[] = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.04761904761904745f, 0.1269841269841265f, 0.2063492063492056f, 0.2857142857142856f, 0.3650793650793656f, 0.4444444444444446f, 0.5238095238095237f, 0.6031746031746028f, 0.6825396825396828f, 0.7619047619047619f, 0.8412698412698409f, 0.92063492063492f, 1};
             Mat X = linspace(0,1,64);
             this->_lut = ColorMap::linear_colormap(X,
                     Mat(64,1, CV_32FC1, r).clone(), // red

modules/contrib/src/lda.cpp

@@ -1100,14 +1100,14 @@ void LDA::compute(InputArrayOfArrays _src, InputArray _lbls) {
     }
 }
 
-// Projects samples into the LDA subspace.
+// Projects one or more row aligned samples into the LDA subspace.
 Mat LDA::project(InputArray src) {
-   return subspaceProject(_eigenvectors, Mat(), _dataAsRow ? src : src.getMat().t());
+   return subspaceProject(_eigenvectors, Mat(), src);
 }
 
-// Reconstructs projections from the LDA subspace.
+// Reconstructs projections from the LDA subspace from one or more row aligned samples.
 Mat LDA::reconstruct(InputArray src) {
-   return subspaceReconstruct(_eigenvectors, Mat(), _dataAsRow ? src : src.getMat().t());
+   return subspaceReconstruct(_eigenvectors, Mat(), src);
 }
 
 }

modules/core/doc/basic_structures.rst

@@ -1346,7 +1346,7 @@ Copies the matrix to another one.
 
     :param m: Destination matrix. If it does not have a proper size or type before the operation, it is reallocated.
 
-    :param mask: Operation mask. Its non-zero elements indicate which matrix elements need to be copied.
+    :param mask: Operation mask. Its non-zero elements indicate which matrix elements need to be copied. Keep in mind that the mask needs to be of type CV_8U and can have 1 or multiple channels.
 
 The method copies the matrix data to another matrix. Before copying the data, the method invokes ::
 

modules/core/doc/operations_on_arrays.rst

@@ -2507,7 +2507,7 @@ The function ``pow`` raises every element of the input array to ``power`` :
 
 .. math::
 
-    \texttt{dst} (I) =  \fork{\texttt{src}(I)^power}{if \texttt{power} is integer}{|\texttt{src}(I)|^power}{otherwise}
+    \texttt{dst} (I) =  \fork{\texttt{src}(I)^{power}}{if \texttt{power} is integer}{|\texttt{src}(I)|^{power}}{otherwise}
 
 So, for a non-integer power exponent, the absolute values of input array elements are used. However, it is possible to get true values for negative values using some extra operations. In the example below, computing the 5th root of array ``src``  shows: ::
 

modules/core/include/opencv2/core/core.hpp

@@ -2593,6 +2593,9 @@ CV_EXPORTS_W double kmeans( InputArray data, int K, CV_OUT InputOutputArray best
 //! returns the thread-local Random number generator
 CV_EXPORTS RNG& theRNG();
 
+//! sets state of the thread-local Random number generator
+CV_EXPORTS_W void setRNGSeed(int seed);
+
 //! returns the next unifomly-distributed random number of the specified type
 template<typename _Tp> static inline _Tp randu() { return (_Tp)theRNG(); }
 
@@ -2639,6 +2642,44 @@ CV_EXPORTS_W void ellipse(CV_IN_OUT Mat& img, Point center, Size axes,
 CV_EXPORTS_W void ellipse(CV_IN_OUT Mat& img, const RotatedRect& box, const Scalar& color,
                         int thickness=1, int lineType=8);
 
+/* ----------------------------------------------------------------------------------------- */
+/* ADDING A SET OF PREDEFINED MARKERS WHICH COULD BE USED TO HIGHLIGHT POSITIONS IN AN IMAGE */
+/* ----------------------------------------------------------------------------------------- */
+
+//! Possible set of marker types used for the drawMarker function
+enum MarkerTypes
+{
+    MARKER_CROSS = 0,           // A crosshair marker shape
+    MARKER_TILTED_CROSS = 1,    // A 45 degree tilted crosshair marker shape
+    MARKER_STAR = 2,            // A star marker shape, combination of cross and tilted cross
+    MARKER_DIAMOND = 3,         // A diamond marker shape
+    MARKER_SQUARE = 4,          // A square marker shape
+    MARKER_TRIANGLE_UP = 5,     // An upwards pointing triangle marker shape
+    MARKER_TRIANGLE_DOWN = 6    // A downwards pointing triangle marker shape
+};
+
+/** @brief Draws a marker on a predefined position in an image.
+
+The function drawMarker draws a marker on a given position in the image. For the moment several
+marker types are supported (`MARKER_CROSS`, `MARKER_TILTED_CROSS`, `MARKER_STAR`, `MARKER_DIAMOND`, `MARKER_SQUARE`,
+`MARKER_TRIANGLE_UP` and `MARKER_TRIANGLE_DOWN`).
+
+@param img Image.
+@param position The point where the crosshair is positioned.
+@param markerType The specific type of marker you want to use, see
+@param color Line color.
+@param thickness Line thickness.
+@param line_type Type of the line, see cv::LineTypes
+@param markerSize The length of the marker axis [default = 20 pixels]
+ */
+CV_EXPORTS_W void drawMarker(CV_IN_OUT Mat& img, Point position, const Scalar& color,
+                             int markerType = MARKER_CROSS, int markerSize=20, int thickness=1,
+                             int line_type=8);
+
+/* ----------------------------------------------------------------------------------------- */
+/* END OF MARKER SECTION */
+/* ----------------------------------------------------------------------------------------- */
+
 //! draws a filled convex polygon in the image
 CV_EXPORTS void fillConvexPoly(Mat& img, const Point* pts, int npts,
                                const Scalar& color, int lineType=8,

modules/core/include/opencv2/core/mat.hpp

@@ -821,6 +821,9 @@ template<typename _Tp> inline Mat_<_Tp>::Mat_(int _dims, const int* _sz)
 template<typename _Tp> inline Mat_<_Tp>::Mat_(int _dims, const int* _sz, const _Tp& _s)
     : Mat(_dims, _sz, DataType<_Tp>::type, Scalar(_s)) {}
 
+template<typename _Tp> inline Mat_<_Tp>::Mat_(int _dims, const int* _sz, _Tp* _data, const size_t* _steps)
+    : Mat(_dims, _sz, DataType<_Tp>::type, _data, _steps) {}
+
 template<typename _Tp> inline Mat_<_Tp>::Mat_(const Mat_<_Tp>& m, const Range* ranges)
     : Mat(m, ranges) {}
 

modules/core/include/opencv2/core/types_c.h

@@ -305,6 +305,31 @@ enum {
 #define  CV_CMP(a,b)    (((a) > (b)) - ((a) < (b)))
 #define  CV_SIGN(a)     CV_CMP((a),0)
 
+#if defined __GNUC__ && defined __arm__ && (defined __ARM_PCS_VFP || defined __ARM_VFPV3__)
+#  define CV_VFP 1
+#else
+#  define CV_VFP 0
+#endif
+
+
+#if CV_VFP
+// 1. general scheme
+#define ARM_ROUND(_value, _asm_string) \
+    int res; \
+    float temp; \
+    (void)temp; \
+    asm(_asm_string : [res] "=r" (res), [temp] "=w" (temp) : [value] "w" (_value)); \
+    return res;
+// 2. version for double
+#ifdef __clang__
+#define ARM_ROUND_DBL(value) ARM_ROUND(value, "vcvtr.s32.f64 %[temp], %[value] \n vmov %[res], %[temp]")
+#else
+#define ARM_ROUND_DBL(value) ARM_ROUND(value, "vcvtr.s32.f64 %[temp], %P[value] \n vmov %[res], %[temp]")
+#endif
+// 3. version for float
+#define ARM_ROUND_FLT(value) ARM_ROUND(value, "vcvtr.s32.f32 %[temp], %[value]\n vmov %[res], %[temp]")
+#endif // CV_VFP
+
 CV_INLINE  int  cvRound( double value )
 {
 #if (defined _MSC_VER && defined _M_X64) || (defined __GNUC__ && defined __x86_64__ && defined __SSE2__ && !defined __APPLE__)
@@ -323,6 +348,8 @@ CV_INLINE  int  cvRound( double value )
 #elif defined CV_ICC || defined __GNUC__
 #  ifdef HAVE_TEGRA_OPTIMIZATION
     TEGRA_ROUND(value);
+#  elif CV_VFP
+    ARM_ROUND_DBL(value)
 #  else
     return (int)lrint(value);
 #  endif

modules/core/include/opencv2/core/version.hpp

@@ -49,8 +49,8 @@
 
 #define CV_VERSION_EPOCH    2
 #define CV_VERSION_MAJOR    4
-#define CV_VERSION_MINOR    12
-#define CV_VERSION_REVISION 2
+#define CV_VERSION_MINOR    13
+#define CV_VERSION_REVISION 0
 
 #define CVAUX_STR_EXP(__A)  #__A
 #define CVAUX_STR(__A)      CVAUX_STR_EXP(__A)

modules/core/src/drawing.cpp

@@ -608,12 +608,12 @@ LineAA( Mat& img, Point pt1, Point pt2, const void* color )
                 ICV_PUT_POINT();
                 ICV_PUT_POINT();
 
-                tptr += step;
+                tptr += 4;
                 a = (ep_corr * FilterTable[dist] >> 8) & 0xff;
                 ICV_PUT_POINT();
                 ICV_PUT_POINT();
 
-                tptr += step;
+                tptr += 4;
                 a = (ep_corr * FilterTable[63 - dist] >> 8) & 0xff;
                 ICV_PUT_POINT();
                 ICV_PUT_POINT();
@@ -1739,7 +1739,7 @@ void circle( Mat& img, Point center, int radius,
     double buf[4];
     scalarToRawData(color, buf, img.type(), 0);
 
-    if( thickness > 1 || line_type >= CV_AA )
+    if( thickness > 1 || line_type >= CV_AA || shift > 0 )
     {
         center.x <<= XY_SHIFT - shift;
         center.y <<= XY_SHIFT - shift;
@@ -1797,6 +1797,73 @@ void ellipse(Mat& img, const RotatedRect& box, const Scalar& color,
     EllipseEx( img, center, axes, _angle, 0, 360, buf, thickness, lineType );
 }
 
+/* ----------------------------------------------------------------------------------------- */
+/* ADDING A SET OF PREDEFINED MARKERS WHICH COULD BE USED TO HIGHLIGHT POSITIONS IN AN IMAGE */
+/* ----------------------------------------------------------------------------------------- */
+
+void drawMarker(Mat& img, Point position, const Scalar& color, int markerType, int markerSize, int thickness, int line_type)
+{
+    switch(markerType)
+    {
+    // The cross marker case
+    case MARKER_CROSS:
+        line(img, Point(position.x-(markerSize/2), position.y), Point(position.x+(markerSize/2), position.y), color, thickness, line_type);
+        line(img, Point(position.x, position.y-(markerSize/2)), Point(position.x, position.y+(markerSize/2)), color, thickness, line_type);
+        break;
+
+    // The tilted cross marker case
+    case MARKER_TILTED_CROSS:
+        line(img, Point(position.x-(markerSize/2), position.y-(markerSize/2)), Point(position.x+(markerSize/2), position.y+(markerSize/2)), color, thickness, line_type);
+        line(img, Point(position.x+(markerSize/2), position.y-(markerSize/2)), Point(position.x-(markerSize/2), position.y+(markerSize/2)), color, thickness, line_type);
+        break;
+
+    // The star marker case
+    case MARKER_STAR:
+        line(img, Point(position.x-(markerSize/2), position.y), Point(position.x+(markerSize/2), position.y), color, thickness, line_type);
+        line(img, Point(position.x, position.y-(markerSize/2)), Point(position.x, position.y+(markerSize/2)), color, thickness, line_type);
+        line(img, Point(position.x-(markerSize/2), position.y-(markerSize/2)), Point(position.x+(markerSize/2), position.y+(markerSize/2)), color, thickness, line_type);
+        line(img, Point(position.x+(markerSize/2), position.y-(markerSize/2)), Point(position.x-(markerSize/2), position.y+(markerSize/2)), color, thickness, line_type);
+        break;
+
+    // The diamond marker case
+    case MARKER_DIAMOND:
+        line(img, Point(position.x, position.y-(markerSize/2)), Point(position.x+(markerSize/2), position.y), color, thickness, line_type);
+        line(img, Point(position.x+(markerSize/2), position.y), Point(position.x, position.y+(markerSize/2)), color, thickness, line_type);
+        line(img, Point(position.x, position.y+(markerSize/2)), Point(position.x-(markerSize/2), position.y), color, thickness, line_type);
+        line(img, Point(position.x-(markerSize/2), position.y), Point(position.x, position.y-(markerSize/2)), color, thickness, line_type);
+        break;
+
+    // The square marker case
+    case MARKER_SQUARE:
+        line(img, Point(position.x-(markerSize/2), position.y-(markerSize/2)), Point(position.x+(markerSize/2), position.y-(markerSize/2)), color, thickness, line_type);
+        line(img, Point(position.x+(markerSize/2), position.y-(markerSize/2)), Point(position.x+(markerSize/2), position.y+(markerSize/2)), color, thickness, line_type);
+        line(img, Point(position.x+(markerSize/2), position.y+(markerSize/2)), Point(position.x-(markerSize/2), position.y+(markerSize/2)), color, thickness, line_type);
+        line(img, Point(position.x-(markerSize/2), position.y+(markerSize/2)), Point(position.x-(markerSize/2), position.y-(markerSize/2)), color, thickness, line_type);
+        break;
+
+    // The triangle up marker case
+    case MARKER_TRIANGLE_UP:
+        line(img, Point(position.x-(markerSize/2), position.y+(markerSize/2)), Point(position.x+(markerSize/2), position.y+(markerSize/2)), color, thickness, line_type);
+        line(img, Point(position.x+(markerSize/2), position.y+(markerSize/2)), Point(position.x, position.y-(markerSize/2)), color, thickness, line_type);
+        line(img, Point(position.x, position.y-(markerSize/2)), Point(position.x-(markerSize/2), position.y-(markerSize/2)), color, thickness, line_type);
+        break;
+
+    // The triangle down marker case
+    case MARKER_TRIANGLE_DOWN:
+        line(img, Point(position.x-(markerSize/2), position.y-(markerSize/2)), Point(position.x+(markerSize/2), position.y-(markerSize/2)), color, thickness, line_type);
+        line(img, Point(position.x+(markerSize/2), position.y-(markerSize/2)), Point(position.x, position.y+(markerSize/2)), color, thickness, line_type);
+        line(img, Point(position.x, position.y+(markerSize/2)), Point(position.x-(markerSize/2), position.y-(markerSize/2)), color, thickness, line_type);
+        break;
+
+    // If any number that doesn't exist is entered, draw a cross marker
+    default:
+        drawMarker(img, position, color, MARKER_CROSS, markerSize, thickness, line_type);
+        break;
+    }
+}
+
+/* ----------------------------------------------------------------------------------------- */
+
 void fillConvexPoly( Mat& img, const Point* pts, int npts,
                      const Scalar& color, int line_type, int shift )
 {
@@ -2095,7 +2162,7 @@ void putText( Mat& img, const string& text, Point org,
     pts.reserve(1 << 10);
     const char **faces = cv::g_HersheyGlyphs;
 
-    for( int i = 0; text[i] != '\0'; i++ )
+    for( int i = 0; i < (int)text.size(); i++ )
     {
         int c = (uchar)text[i];
         Point p;
@@ -2142,7 +2209,7 @@ Size getTextSize( const string& text, int fontFace, double fontScale, int thickn
     int cap_line = (ascii[0] >> 4) & 15;
     size.height = cvRound((cap_line + base_line)*fontScale + (thickness+1)/2);
 
-    for( int i = 0; text[i] != '\0'; i++ )
+    for( int i = 0; i < (int)text.size(); i++ )
     {
         int c = (uchar)text[i];
         Point p;

modules/core/src/mathfuncs.cpp

@@ -2424,7 +2424,7 @@ int cv::solveCubic( InputArray _coeffs, OutputArray _roots )
         double Qcubed = Q * Q * Q;
         double d = Qcubed - R * R;
 
-        if( d >= 0 )
+        if( d > 0 )
         {
             double theta = acos(R / sqrt(Qcubed));
             double sqrtQ = sqrt(Q);
@@ -2436,11 +2436,27 @@ int cv::solveCubic( InputArray _coeffs, OutputArray _roots )
             x2 = t0 * cos(t1 + (4.*CV_PI/3)) - t2;
             n = 3;
         }
+        else if( d == 0 )
+        {
+            if(R >= 0)
+            {
+                x0 = -2*pow(R, 1./3) - a1/3;
+                x1 = pow(R, 1./3) - a1/3;
+            }
+            else
+            {
+                x0 = 2*pow(-R, 1./3) - a1/3;
+                x1 = -pow(-R, 1./3) - a1/3;
+            }
+            x2 = 0;
+            n = x0 == x1 ? 1 : 2;
+            x1 = x0 == x1 ? 0 : x1;
+        }
         else
         {
             double e;
             d = sqrt(-d);
-            e = pow(d + fabs(R), 0.333333333333);
+            e = pow(d + fabs(R), 1./3);
             if( R > 0 )
                 e = -e;
             x0 = (e + Q / e) - a1 * (1./3);
@@ -2496,7 +2512,6 @@ double cv::solvePoly( InputArray _coeffs0, OutputArray _roots0, int maxIters )
     }
 
     C p(1, 0), r(1, 1);
-
     for( i = 0; i < n; i++ )
     {
         roots[i] = p;
@@ -2511,12 +2526,54 @@ double cv::solvePoly( InputArray _coeffs0, OutputArray _roots0, int maxIters )
         {
             p = roots[i];
             C num = coeffs[n], denom = coeffs[n];
+            int num_same_root = 1;
             for( j = 0; j < n; j++ )
             {
                 num = num*p + coeffs[n-j-1];
-                if( j != i ) denom = denom * (p - roots[j]);
+                if( j != i )
+                {
+                    if ( (p - roots[j]).re != 0 || (p - roots[j]).im != 0 )
+                        denom = denom * (p - roots[j]);
+                    else
+                        num_same_root++;
+                }
             }
             num /= denom;
+            if( num_same_root > 1)
+            {
+                double old_num_re = num.re;
+                double old_num_im = num.im;
+                int square_root_times = num_same_root % 2 == 0 ? num_same_root / 2 : num_same_root / 2 - 1;
+
+                for( j = 0; j < square_root_times; j++)
+                {
+                    num.re = old_num_re*old_num_re + old_num_im*old_num_im;
+                    num.re = sqrt(num.re);
+                    num.re += old_num_re;
+                    num.im = num.re - old_num_re;
+                    num.re /= 2;
+                    num.re = sqrt(num.re);
+
+                    num.im /= 2;
+                    num.im = sqrt(num.im);
+                    if( old_num_re < 0 ) num.im = -num.im;
+                }
+
+                if( num_same_root % 2 != 0){
+                    Mat cube_coefs(4, 1, CV_64FC1);
+                    Mat cube_roots(3, 1, CV_64FC2);
+                    cube_coefs.at<double>(3) = -(pow(old_num_re, 3));
+                    cube_coefs.at<double>(2) = -(15*pow(old_num_re, 2) + 27*pow(old_num_im, 2));
+                    cube_coefs.at<double>(1) = -48*old_num_re;
+                    cube_coefs.at<double>(0) = 64;
+                    solveCubic(cube_coefs, cube_roots);
+
+                    if(cube_roots.at<double>(0) >= 0) num.re = pow(cube_roots.at<double>(0), 1./3);
+                    else num.re = -pow(-cube_roots.at<double>(0), 1./3);
+                    num.im = sqrt(pow(num.re, 2) / 3 - old_num_re / (3*num.re));
+                }
+            }
+
             roots[i] = p - num;
             maxDiff = max(maxDiff, abs(num));
         }

modules/core/src/matrix.cpp

@@ -3439,7 +3439,7 @@ ptrdiff_t operator - (const MatConstIterator& b, const MatConstIterator& a)
     if( a.m != b.m )
         return INT_MAX;
     if( a.sliceEnd == b.sliceEnd )
-        return (b.ptr - a.ptr)/b.elemSize;
+        return (b.ptr - a.ptr)/static_cast<ptrdiff_t>(b.elemSize);
 
     return b.lpos() - a.lpos();
 }

modules/core/src/persistence.cpp

@@ -5248,7 +5248,7 @@ FileStorage& operator << (FileStorage& fs, const string& str)
     }
     else if( fs.state == NAME_EXPECTED + INSIDE_MAP )
     {
-        if( !cv_isalpha(*_str) )
+        if (!cv_isalpha(*_str) && *_str != '_')
             CV_Error_( CV_StsError, ("Incorrect element name %s", _str) );
         fs.elname = str;
         fs.state = VALUE_EXPECTED + INSIDE_MAP;

modules/core/src/rand.cpp

@@ -806,6 +806,11 @@ RNG& theRNG()
 
 }
 
+void cv::setRNGSeed(int seed)
+{
+    theRNG() = RNG(static_cast<uint64>(seed));
+}
+
 void cv::randu(InputOutputArray dst, InputArray low, InputArray high)
 {
     theRNG().fill(dst, RNG::UNIFORM, low, high);

modules/core/test/test_io.cpp

@@ -522,3 +522,14 @@ TEST(Core_InputOutput, FileStorage)
     sprintf(arr, "sprintf is hell %d", 666);
     EXPECT_NO_THROW(f << arr);
 }
+
+TEST(Core_InputOutput, FileStorageKey)
+{
+    cv::FileStorage f("dummy.yml", cv::FileStorage::WRITE | cv::FileStorage::MEMORY);
+
+    EXPECT_NO_THROW(f << "key1" << "value1");
+    EXPECT_NO_THROW(f << "_key2" << "value2");
+    EXPECT_NO_THROW(f << "key_3" << "value3");
+    const std::string expected = "%YAML:1.0\nkey1: value1\n_key2: value2\nkey_3: value3\n";
+    ASSERT_STREQ(f.releaseAndGetString().c_str(), expected.c_str());
+}

modules/core/test/test_math.cpp

@@ -2329,6 +2329,17 @@ void Core_SolvePolyTest::run( int )
             pass = pass && div < err_eps;
         }
 
+        //test bug #5623 - solves equation x^3 = 0
+        cv::Mat coeffs_5623(4, 1, CV_64FC1);
+        cv::Mat r_5623(3, 1, CV_64FC2);
+        coeffs_5623.at<double>(0) = 1;
+        coeffs_5623.at<double>(1) = 0;
+        coeffs_5623.at<double>(2) = 0;
+        coeffs_5623.at<double>(3) = 0;
+        double prec_5623 = cv::solveCubic(coeffs_5623, r_5623);
+        pass = pass && r_5623.at<double>(0) == 0 && r_5623.at<double>(1) == 0 && r_5623.at<double>(2) == 0;
+        pass = pass && prec_5623 == 1;
+
         if (!pass)
         {
             ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
@@ -2348,6 +2359,55 @@ void Core_SolvePolyTest::run( int )
     }
 }
 
+template<typename T>
+static void checkRoot(Mat& r, T re, T im)
+{
+    for (int i = 0; i < r.cols*r.rows; i++)
+    {
+        Vec<T, 2> v = *(Vec<T, 2>*)r.ptr(i);
+        if (fabs(re - v[0]) < 1e-6 && fabs(im - v[1]) < 1e-6)
+        {
+            v[0] = std::numeric_limits<T>::quiet_NaN();
+            v[1] = std::numeric_limits<T>::quiet_NaN();
+            return;
+        }
+    }
+    GTEST_NONFATAL_FAILURE_("Can't find root") << "(" << re << ", " << im << ")";
+}
+TEST(Core_SolvePoly, regression_5599)
+{
+    // x^4 - x^2 = 0, roots: 1, -1, 0, 0
+    cv::Mat coefs = (cv::Mat_<float>(1,5) << 0, 0, -1, 0, 1 );
+    {
+        cv::Mat r;
+        double prec;
+        prec = cv::solvePoly(coefs, r);
+        EXPECT_LE(prec, 1e-6);
+        EXPECT_EQ(4u, r.total());
+        //std::cout << "Preciseness = " << prec << std::endl;
+        //std::cout << "roots:\n" << r << "\n" << std::endl;
+        ASSERT_EQ(CV_32FC2, r.type());
+        checkRoot<float>(r, 1, 0);
+        checkRoot<float>(r, -1, 0);
+        checkRoot<float>(r, 0, 0);
+        checkRoot<float>(r, 0, 0);
+    }
+    // x^2 - 2x + 1 = 0,  roots: 1, 1
+    coefs = (cv::Mat_<float>(1,3) << 1, -2, 1 );
+    {
+        cv::Mat r;
+        double prec;
+        prec = cv::solvePoly(coefs, r);
+        EXPECT_LE(prec, 1e-6);
+        EXPECT_EQ(2u, r.total());
+        //std::cout << "Preciseness = " << prec << std::endl;
+        //std::cout << "roots:\n" << r << "\n" << std::endl;
+        ASSERT_EQ(CV_32FC2, r.type());
+        checkRoot<float>(r, 1, 0);
+        checkRoot<float>(r, 1, 0);
+    }
+}
+
 class Core_CheckRange_Empty : public cvtest::BaseTest
 {
 public:

modules/features2d/doc/feature_detection_and_description.rst

@@ -52,13 +52,46 @@ Maximally stable extremal region extractor. ::
         void operator()( const Mat& image, vector<vector<Point> >& msers, const Mat& mask ) const;
     };
 
-The class encapsulates all the parameters of the MSER extraction algorithm (see
-http://en.wikipedia.org/wiki/Maximally_stable_extremal_regions). Also see http://code.opencv.org/projects/opencv/wiki/MSER for useful comments and parameters description.
+The class encapsulates all the parameters of the MSER extraction algorithm (see [wiki]_ article).
 
 .. note::
 
-   * (Python) A complete example showing the use of the MSER detector can be found at opencv_source_code/samples/python2/mser.py
+    * there are two different implementation of MSER: one for grey image, one for color image the grey image algorithm is taken from: [nister2008linear]_ ; the paper claims to be faster than union-find method; it actually get 1.5~2m/s on my centrino L7200 1.2GHz laptop.
 
+    * the color image algorithm is taken from: [forssen2007maximally]_ ; it should be much slower than grey image method ( 3~4 times ); the chi_table.h file is taken directly from paper's source code which is distributed under GPL.
+
+    * (Python) A complete example showing the use of the MSER detector can be found at opencv_source_code/samples/python2/mser.py
+
+.. [wiki] http://en.wikipedia.org/wiki/Maximally_stable_extremal_regions
+.. [nister2008linear] David Nistér and Henrik Stewénius. Linear time maximally stable extremal regions. In Computer Vision–ECCV 2008, pages 183–196. Springer, 2008.
+.. [forssen2007maximally] Per-Erik Forssén. Maximally stable colour regions for recognition and matching. In Computer Vision and Pattern Recognition, 2007. CVPR'07. IEEE Conference on, pages 1–8. IEEE, 2007.
+
+MSER::MSER
+----------
+The MSER constructor
+
+.. ocv:function:: MSER::MSER(int _delta=5, int _min_area=60, int _max_area=14400, double _max_variation=0.25, double _min_diversity=.2, int _max_evolution=200, double _area_threshold=1.01, double _min_margin=0.003, int _edge_blur_size=5)
+
+    :param _delta: Compares (sizei - sizei-delta)/sizei-delta
+    :param _min_area: Prune the area which smaller than minArea
+    :param _max_area: Prune the area which bigger than maxArea
+    :param _max_variation: Prune the area have simliar size to its children
+    :param _min_diversity: For color image, trace back to cut off mser with diversity less than min_diversity
+    :param _max_evolution: For color image, the evolution steps
+    :param _area_threshold: For color image, the area threshold to cause re-initialize
+    :param _min_margin: For color image, ignore too small margin
+    :param _edge_blur_size: For color image, the aperture size for edge blur
+
+MSER::operator()
+----------------
+
+Detect MSER regions
+
+.. ocv:function:: void MSER::operator()(const Mat& image, vector<vector<Point> >& msers, const Mat& mask=Mat() ) const
+
+    :param image: Input image (8UC1, 8UC3 or 8UC4)
+    :param msers: Resulting list of point sets
+    :param mask: The operation mask
 
 ORB
 ---

modules/gpu/CMakeLists.txt

@@ -54,11 +54,14 @@ if(HAVE_CUDA)
   endif()
 
   if(WITH_NVCUVID)
-    set(cuda_link_libs ${cuda_link_libs} ${CUDA_CUDA_LIBRARY} ${CUDA_nvcuvid_LIBRARY})
+    if(HAVE_NVCUVID)
+      set(cuda_link_libs ${cuda_link_libs} ${CUDA_CUDA_LIBRARY} ${CUDA_nvcuvid_LIBRARY})
+    endif()
 
     if(WIN32)
-      find_cuda_helper_libs(nvcuvenc)
-      set(cuda_link_libs ${cuda_link_libs} ${CUDA_nvcuvenc_LIBRARY})
+      if(HAVE_NVCUVENC)
+        set(cuda_link_libs ${cuda_link_libs} ${CUDA_nvcuvenc_LIBRARY})
+      endif()
     endif()
 
     if(WITH_FFMPEG)

modules/gpu/include/opencv2/gpu/device/common.hpp

@@ -100,7 +100,7 @@ namespace cv { namespace gpu
         typedef unsigned char uchar;
         typedef unsigned short ushort;
         typedef signed char schar;
-        #if defined (_WIN32) || defined (__APPLE__)
+        #if defined (_WIN32) || defined (__APPLE__) || defined (__QNX__)
             typedef unsigned int uint;
         #endif
 

modules/gpu/include/opencv2/gpu/stream_accessor.hpp

@@ -57,6 +57,7 @@ namespace cv
         struct StreamAccessor
         {
             CV_EXPORTS static cudaStream_t getStream(const Stream& stream);
+            CV_EXPORTS static Stream wrapStream(cudaStream_t stream);
         };
     }
 }

modules/gpu/perf/perf_calib3d.cpp

@@ -41,6 +41,7 @@
 //M*/
 
 #include "perf_precomp.hpp"
+#include "opencv2/ts/gpu_perf.hpp"
 
 using namespace std;
 using namespace testing;

modules/gpu/perf/perf_core.cpp

@@ -41,6 +41,7 @@
 //M*/
 
 #include "perf_precomp.hpp"
+#include "opencv2/ts/gpu_perf.hpp"
 
 using namespace std;
 using namespace testing;

modules/gpu/perf/perf_denoising.cpp

@@ -41,6 +41,7 @@
 //M*/
 
 #include "perf_precomp.hpp"
+#include "opencv2/ts/gpu_perf.hpp"
 
 using namespace std;
 using namespace testing;

modules/gpu/perf/perf_features2d.cpp

@@ -41,6 +41,7 @@
 //M*/
 
 #include "perf_precomp.hpp"
+#include "opencv2/ts/gpu_perf.hpp"
 
 using namespace std;
 using namespace testing;

modules/gpu/perf/perf_filters.cpp

@@ -41,6 +41,7 @@
 //M*/
 
 #include "perf_precomp.hpp"
+#include "opencv2/ts/gpu_perf.hpp"
 
 using namespace std;
 using namespace testing;

modules/gpu/perf/perf_imgproc.cpp

@@ -41,6 +41,7 @@
 //M*/
 
 #include "perf_precomp.hpp"
+#include "opencv2/ts/gpu_perf.hpp"
 
 using namespace std;
 using namespace testing;

modules/gpu/perf/perf_labeling.cpp

@@ -41,6 +41,7 @@
 //M*/
 
 #include "perf_precomp.hpp"
+#include "opencv2/ts/gpu_perf.hpp"
 
 using namespace std;
 using namespace testing;

modules/gpu/perf/perf_main.cpp

@@ -41,6 +41,7 @@
 //M*/
 
 #include "perf_precomp.hpp"
+#include "opencv2/ts/gpu_perf.hpp"
 
 using namespace perf;
 

modules/gpu/perf/perf_matop.cpp

@@ -41,6 +41,7 @@
 //M*/
 
 #include "perf_precomp.hpp"
+#include "opencv2/ts/gpu_perf.hpp"
 
 using namespace std;
 using namespace testing;

modules/gpu/perf/perf_objdetect.cpp

@@ -41,6 +41,7 @@
 //M*/
 
 #include "perf_precomp.hpp"
+#include "opencv2/ts/gpu_perf.hpp"
 
 using namespace std;
 using namespace testing;

modules/gpu/perf/perf_precomp.hpp

@@ -61,7 +61,6 @@
 #endif
 
 #include "opencv2/ts/ts.hpp"
-#include "opencv2/ts/gpu_perf.hpp"
 
 #include "opencv2/core/core.hpp"
 #include "opencv2/highgui/highgui.hpp"

modules/gpu/perf/perf_video.cpp

@@ -41,6 +41,7 @@
 //M*/
 
 #include "perf_precomp.hpp"
+#include "opencv2/ts/gpu_perf.hpp"
 
 using namespace std;
 using namespace testing;

modules/gpu/src/cudastream.cpp

@@ -89,6 +89,7 @@ struct Stream::Impl
     }
 
     cudaStream_t stream;
+    bool own_stream;
     int ref_counter;
 };
 
@@ -335,6 +336,7 @@ void cv::gpu::Stream::create()
     impl = (Stream::Impl*) fastMalloc(sizeof(Stream::Impl));
 
     impl->stream = stream;
+    impl->own_stream = true;
     impl->ref_counter = 1;
 }
 
@@ -342,9 +344,23 @@ void cv::gpu::Stream::release()
 {
     if (impl && CV_XADD(&impl->ref_counter, -1) == 1)
     {
-        cudaSafeCall( cudaStreamDestroy(impl->stream) );
+        if (impl->own_stream)
+        {
+            cudaSafeCall( cudaStreamDestroy(impl->stream) );
+        }
         cv::fastFree(impl);
     }
 }
 
+Stream StreamAccessor::wrapStream(cudaStream_t stream)
+{
+    Stream::Impl* impl = (Stream::Impl*) fastMalloc(sizeof(Stream::Impl));
+
+    impl->stream = stream;
+    impl->own_stream = false;
+    impl->ref_counter = 1;
+
+    return Stream(impl);
+}
+
 #endif /* !defined (HAVE_CUDA) */

modules/gpu/src/graphcuts.cpp

@@ -42,7 +42,8 @@
 
 #include "precomp.hpp"
 
-#if !defined (HAVE_CUDA) || defined (CUDA_DISABLER)
+// GraphCut has been removed in NPP 8.0
+#if !defined (HAVE_CUDA) || defined (CUDA_DISABLER) || (CUDART_VERSION >= 8000)
 
 void cv::gpu::graphcut(GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, Stream&) { throw_nogpu(); }
 void cv::gpu::graphcut(GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, Stream&) { throw_nogpu(); }

modules/gpu/src/precomp.hpp

@@ -98,7 +98,9 @@
         #include <nvcuvid.h>
 
         #ifdef WIN32
-            #include <NVEncoderAPI.h>
+            #ifdef HAVE_NVCUVENC
+                #include <NVEncoderAPI.h>
+            #endif
         #endif
     #endif
 

modules/gpu/src/video_writer.cpp

@@ -42,7 +42,7 @@
 
 #include "precomp.hpp"
 
-#if !defined(HAVE_CUDA) || defined(CUDA_DISABLER) || !defined(HAVE_NVCUVID) || !defined(WIN32)
+#if !defined(HAVE_CUDA) || defined(CUDA_DISABLER) || !defined(HAVE_NVCUVENC) || !defined(WIN32)
 
 class cv::gpu::VideoWriter_GPU::Impl
 {

modules/gpu/test/test_stream.cpp

@@ -44,6 +44,8 @@
 
 #ifdef HAVE_CUDA
 
+#include "opencv2/gpu/stream_accessor.hpp"
+
 using namespace cvtest;
 
 #if CUDART_VERSION >= 5000
@@ -125,6 +127,25 @@ GPU_TEST_P(Async, Convert)
     stream.waitForCompletion();
 }
 
+GPU_TEST_P(Async, WrapStream)
+{
+    cudaStream_t cuda_stream = NULL;
+    ASSERT_EQ(cudaSuccess, cudaStreamCreate(&cuda_stream));
+
+    cv::gpu::Stream stream = cv::gpu::StreamAccessor::wrapStream(cuda_stream);
+
+    stream.enqueueUpload(src, d_src);
+    stream.enqueueConvert(d_src, d_dst, CV_32S);
+    stream.enqueueDownload(d_dst, dst);
+
+    Async* test = this;
+    stream.enqueueHostCallback(checkConvert, test);
+
+    stream.waitForCompletion();
+
+    ASSERT_EQ(cudaSuccess, cudaStreamDestroy(cuda_stream));
+}
+
 INSTANTIATE_TEST_CASE_P(GPU_Stream, Async, ALL_DEVICES);
 
 #endif

modules/highgui/src/cap_avfoundation.mm

@@ -913,7 +913,7 @@ IplImage* CvCaptureFile::retrieveFramePixelBuffer() {
     }
 
 
-    AVAssetReaderTrackOutput * output = [mMovieReader.outputs objectAtIndex:0];
+    AVAssetReaderOutput * output = [mMovieReader.outputs objectAtIndex:0];
     CMSampleBufferRef sampleBuffer = [output copyNextSampleBuffer];
     if (!sampleBuffer) {
         [localpool drain];

modules/highgui/src/cap_ffmpeg_impl.hpp

@@ -118,11 +118,6 @@ extern "C" {
 #define CV_WARN(message) fprintf(stderr, "warning: %s (%s:%d)\n", message, __FILE__, __LINE__)
 #endif
 
-/* PIX_FMT_RGBA32 macro changed in newer ffmpeg versions */
-#ifndef PIX_FMT_RGBA32
-#define PIX_FMT_RGBA32 PIX_FMT_RGB32
-#endif
-
 #define CALC_FFMPEG_VERSION(a,b,c) ( a<<16 | b<<8 | c )
 
 #if defined WIN32 || defined _WIN32
@@ -132,6 +127,11 @@ extern "C" {
     #include <stdio.h>
     #include <sys/types.h>
     #include <sys/sysctl.h>
+    #include <sys/time.h>
+#if defined __APPLE__
+    #include <mach/clock.h>
+    #include <mach/mach.h>
+#endif
 #endif
 
 #ifndef MIN
@@ -156,6 +156,156 @@ extern "C" {
 #  define CV_CODEC(name) name
 #endif
 
+#if LIBAVUTIL_BUILD < (LIBAVUTIL_VERSION_MICRO >= 100 \
+    ? CALC_FFMPEG_VERSION(51, 74, 100) : CALC_FFMPEG_VERSION(51, 42, 0))
+#define AVPixelFormat PixelFormat
+#define AV_PIX_FMT_BGR24 PIX_FMT_BGR24
+#define AV_PIX_FMT_RGB24 PIX_FMT_RGB24
+#define AV_PIX_FMT_GRAY8 PIX_FMT_GRAY8
+#define AV_PIX_FMT_YUV422P PIX_FMT_YUV422P
+#define AV_PIX_FMT_YUV420P PIX_FMT_YUV420P
+#define AV_PIX_FMT_YUV444P PIX_FMT_YUV444P
+#define AV_PIX_FMT_YUVJ420P PIX_FMT_YUVJ420P
+#define AV_PIX_FMT_GRAY16LE PIX_FMT_GRAY16LE
+#define AV_PIX_FMT_GRAY16BE PIX_FMT_GRAY16BE
+#endif
+
+#if LIBAVUTIL_BUILD >= (LIBAVUTIL_VERSION_MICRO >= 100 \
+    ? CALC_FFMPEG_VERSION(52, 38, 100) : CALC_FFMPEG_VERSION(52, 13, 0))
+#define USE_AV_FRAME_GET_BUFFER 1
+#else
+#define USE_AV_FRAME_GET_BUFFER 0
+#ifndef AV_NUM_DATA_POINTERS // required for 0.7.x/0.8.x ffmpeg releases
+#define AV_NUM_DATA_POINTERS 4
+#endif
+#endif
+
+
+#ifndef USE_AV_INTERRUPT_CALLBACK
+#if LIBAVFORMAT_BUILD >= CALC_FFMPEG_VERSION(53, 21, 0)
+#define USE_AV_INTERRUPT_CALLBACK 1
+#else
+#define USE_AV_INTERRUPT_CALLBACK 0
+#endif
+#endif
+
+#if USE_AV_INTERRUPT_CALLBACK
+#define LIBAVFORMAT_INTERRUPT_OPEN_TIMEOUT_MS 30000
+#define LIBAVFORMAT_INTERRUPT_READ_TIMEOUT_MS 30000
+
+#ifdef WIN32
+// http://stackoverflow.com/questions/5404277/porting-clock-gettime-to-windows
+
+static
+inline LARGE_INTEGER get_filetime_offset()
+{
+    SYSTEMTIME s;
+    FILETIME f;
+    LARGE_INTEGER t;
+
+    s.wYear = 1970;
+    s.wMonth = 1;
+    s.wDay = 1;
+    s.wHour = 0;
+    s.wMinute = 0;
+    s.wSecond = 0;
+    s.wMilliseconds = 0;
+    SystemTimeToFileTime(&s, &f);
+    t.QuadPart = f.dwHighDateTime;
+    t.QuadPart <<= 32;
+    t.QuadPart |= f.dwLowDateTime;
+    return t;
+}
+
+static
+inline void get_monotonic_time(timespec *tv)
+{
+    LARGE_INTEGER           t;
+    FILETIME				f;
+    double                  microseconds;
+    static LARGE_INTEGER    offset;
+    static double           frequencyToMicroseconds;
+    static int              initialized = 0;
+    static BOOL             usePerformanceCounter = 0;
+
+    if (!initialized)
+    {
+        LARGE_INTEGER performanceFrequency;
+        initialized = 1;
+        usePerformanceCounter = QueryPerformanceFrequency(&performanceFrequency);
+        if (usePerformanceCounter)
+        {
+            QueryPerformanceCounter(&offset);
+            frequencyToMicroseconds = (double)performanceFrequency.QuadPart / 1000000.;
+        }
+        else
+        {
+            offset = get_filetime_offset();
+            frequencyToMicroseconds = 10.;
+        }
+    }
+
+    if (usePerformanceCounter)
+    {
+        QueryPerformanceCounter(&t);
+    } else {
+        GetSystemTimeAsFileTime(&f);
+        t.QuadPart = f.dwHighDateTime;
+        t.QuadPart <<= 32;
+        t.QuadPart |= f.dwLowDateTime;
+    }
+
+    t.QuadPart -= offset.QuadPart;
+    microseconds = (double)t.QuadPart / frequencyToMicroseconds;
+    t.QuadPart = microseconds;
+    tv->tv_sec = t.QuadPart / 1000000;
+    tv->tv_nsec = (t.QuadPart % 1000000) * 1000;
+}
+#else
+static
+inline void get_monotonic_time(timespec *time)
+{
+#if defined(__APPLE__) && defined(__MACH__)
+    clock_serv_t cclock;
+    mach_timespec_t mts;
+    host_get_clock_service(mach_host_self(), CALENDAR_CLOCK, &cclock);
+    clock_get_time(cclock, &mts);
+    mach_port_deallocate(mach_task_self(), cclock);
+    time->tv_sec = mts.tv_sec;
+    time->tv_nsec = mts.tv_nsec;
+#else
+    clock_gettime(CLOCK_MONOTONIC, time);
+#endif
+}
+#endif
+
+static
+inline timespec get_monotonic_time_diff(timespec start, timespec end)
+{
+    timespec temp;
+    if (end.tv_nsec - start.tv_nsec < 0)
+    {
+        temp.tv_sec = end.tv_sec - start.tv_sec - 1;
+        temp.tv_nsec = 1000000000 + end.tv_nsec - start.tv_nsec;
+    }
+    else
+    {
+        temp.tv_sec = end.tv_sec - start.tv_sec;
+        temp.tv_nsec = end.tv_nsec - start.tv_nsec;
+    }
+    return temp;
+}
+
+static
+inline double get_monotonic_time_diff_ms(timespec time1, timespec time2)
+{
+    timespec delta = get_monotonic_time_diff(time1, time2);
+    double milliseconds = delta.tv_sec * 1000 + (double)delta.tv_nsec / 1000000.0;
+
+    return milliseconds;
+}
+#endif // USE_AV_INTERRUPT_CALLBACK
+
 static int get_number_of_cpus(void)
 {
 #if LIBAVFORMAT_BUILD < CALC_FFMPEG_VERSION(52, 111, 0)
@@ -205,12 +355,41 @@ struct Image_FFMPEG
 };
 
 
+#if USE_AV_INTERRUPT_CALLBACK
+struct AVInterruptCallbackMetadata
+{
+    timespec value;
+    unsigned int timeout_after_ms;
+    int timeout;
+};
+
+static
 inline void _opencv_ffmpeg_free(void** ptr)
 {
     if(*ptr) free(*ptr);
     *ptr = 0;
 }
 
+static
+inline int _opencv_ffmpeg_interrupt_callback(void *ptr)
+{
+    AVInterruptCallbackMetadata* metadata = (AVInterruptCallbackMetadata*)ptr;
+    assert(metadata);
+
+    if (metadata->timeout_after_ms == 0)
+    {
+        return 0; // timeout is disabled
+    }
+
+    timespec now;
+    get_monotonic_time(&now);
+
+    metadata->timeout = get_monotonic_time_diff_ms(metadata->value, now) > metadata->timeout_after_ms;
+
+    return metadata->timeout ? -1 : 0;
+}
+#endif
+
 
 struct CvCapture_FFMPEG
 {
@@ -264,6 +443,10 @@ struct CvCapture_FFMPEG
 #if LIBAVFORMAT_BUILD >= CALC_FFMPEG_VERSION(52, 111, 0)
     AVDictionary *dict;
 #endif
+
+#if USE_AV_INTERRUPT_CALLBACK
+    AVInterruptCallbackMetadata interrupt_metadata;
+#endif
 };
 
 void CvCapture_FFMPEG::init()
@@ -301,8 +484,10 @@ void CvCapture_FFMPEG::close()
 
     if( picture )
     {
-        // FFmpeg and Libav added avcodec_free_frame in different versions.
 #if LIBAVCODEC_BUILD >= (LIBAVCODEC_VERSION_MICRO >= 100 \
+    ? CALC_FFMPEG_VERSION(55, 45, 101) : CALC_FFMPEG_VERSION(55, 28, 1))
+        av_frame_free(&picture);
+#elif LIBAVCODEC_BUILD >= (LIBAVCODEC_VERSION_MICRO >= 100 \
     ? CALC_FFMPEG_VERSION(54, 59, 100) : CALC_FFMPEG_VERSION(54, 28, 0))
         avcodec_free_frame(&picture);
 #else
@@ -333,11 +518,15 @@ void CvCapture_FFMPEG::close()
         ic = NULL;
     }
 
+#if USE_AV_FRAME_GET_BUFFER
+    av_frame_unref(&rgb_picture);
+#else
     if( rgb_picture.data[0] )
     {
         free( rgb_picture.data[0] );
         rgb_picture.data[0] = 0;
     }
+#endif
 
     // free last packet if exist
     if (packet.data) {
@@ -556,6 +745,16 @@ bool CvCapture_FFMPEG::open( const char* _filename )
 
     close();
 
+#if USE_AV_INTERRUPT_CALLBACK
+    /* interrupt callback */
+    interrupt_metadata.timeout_after_ms = LIBAVFORMAT_INTERRUPT_OPEN_TIMEOUT_MS;
+    get_monotonic_time(&interrupt_metadata.value);
+
+    ic = avformat_alloc_context();
+    ic->interrupt_callback.callback = _opencv_ffmpeg_interrupt_callback;
+    ic->interrupt_callback.opaque = &interrupt_metadata;
+#endif
+
 #if LIBAVFORMAT_BUILD >= CALC_FFMPEG_VERSION(52, 111, 0)
     av_dict_set(&dict, "rtsp_transport", "tcp", 0);
     int err = avformat_open_input(&ic, _filename, NULL, &dict);
@@ -619,19 +818,18 @@ bool CvCapture_FFMPEG::open( const char* _filename )
 
             video_stream = i;
             video_st = ic->streams[i];
+#if LIBAVCODEC_BUILD >= (LIBAVCODEC_VERSION_MICRO >= 100 \
+    ? CALC_FFMPEG_VERSION(55, 45, 101) : CALC_FFMPEG_VERSION(55, 28, 1))
+            picture = av_frame_alloc();
+#else
             picture = avcodec_alloc_frame();
-
-            rgb_picture.data[0] = (uint8_t*)malloc(
-                    avpicture_get_size( PIX_FMT_BGR24,
-                                        enc->width, enc->height ));
-            avpicture_fill( (AVPicture*)&rgb_picture, rgb_picture.data[0],
-                            PIX_FMT_BGR24, enc->width, enc->height );
+#endif
 
             frame.width = enc->width;
             frame.height = enc->height;
             frame.cn = 3;
-            frame.step = rgb_picture.linesize[0];
-            frame.data = rgb_picture.data[0];
+            frame.step = 0;
+            frame.data = NULL;
             break;
         }
     }
@@ -640,6 +838,11 @@ bool CvCapture_FFMPEG::open( const char* _filename )
 
 exit_func:
 
+#if USE_AV_INTERRUPT_CALLBACK
+    // deactivate interrupt callback
+    interrupt_metadata.timeout_after_ms = 0;
+#endif
+
     if( !valid )
         close();
 
@@ -661,13 +864,27 @@ bool CvCapture_FFMPEG::grabFrame()
         frame_number > ic->streams[video_stream]->nb_frames )
         return false;
 
-    av_free_packet (&packet);
-
     picture_pts = AV_NOPTS_VALUE_;
 
+#if USE_AV_INTERRUPT_CALLBACK
+    // activate interrupt callback
+    get_monotonic_time(&interrupt_metadata.value);
+    interrupt_metadata.timeout_after_ms = LIBAVFORMAT_INTERRUPT_READ_TIMEOUT_MS;
+#endif
+
     // get the next frame
     while (!valid)
     {
+        av_free_packet (&packet);
+
+#if USE_AV_INTERRUPT_CALLBACK
+        if (interrupt_metadata.timeout)
+        {
+            valid = false;
+            break;
+        }
+#endif
+
         int ret = av_read_frame(ic, &packet);
         if (ret == AVERROR(EAGAIN)) continue;
 
@@ -710,13 +927,16 @@ bool CvCapture_FFMPEG::grabFrame()
             if (count_errs > max_number_of_attempts)
                 break;
         }
-
-        av_free_packet (&packet);
     }
 
     if( valid && first_frame_number < 0 )
         first_frame_number = dts_to_frame_number(picture_pts);
 
+#if USE_AV_INTERRUPT_CALLBACK
+    // deactivate interrupt callback
+    interrupt_metadata.timeout_after_ms = 0;
+#endif
+
     // return if we have a new picture or not
     return valid;
 }
@@ -727,38 +947,59 @@ bool CvCapture_FFMPEG::retrieveFrame(int, unsigned char** data, int* step, int*
     if( !video_st || !picture->data[0] )
         return false;
 
-    avpicture_fill((AVPicture*)&rgb_picture, rgb_picture.data[0], PIX_FMT_RGB24,
-                   video_st->codec->width, video_st->codec->height);
-
     if( img_convert_ctx == NULL ||
         frame.width != video_st->codec->width ||
-        frame.height != video_st->codec->height )
+        frame.height != video_st->codec->height ||
+        frame.data == NULL )
     {
-        if( img_convert_ctx )
-            sws_freeContext(img_convert_ctx);
-
-        frame.width = video_st->codec->width;
-        frame.height = video_st->codec->height;
+        // Some sws_scale optimizations have some assumptions about alignment of data/step/width/height
+        // Also we use coded_width/height to workaround problem with legacy ffmpeg versions (like n0.8)
+        int buffer_width = video_st->codec->coded_width, buffer_height = video_st->codec->coded_height;
 
         img_convert_ctx = sws_getCachedContext(
-                NULL,
-                video_st->codec->width, video_st->codec->height,
+                img_convert_ctx,
+                buffer_width, buffer_height,
                 video_st->codec->pix_fmt,
-                video_st->codec->width, video_st->codec->height,
-                PIX_FMT_BGR24,
+                buffer_width, buffer_height,
+                AV_PIX_FMT_BGR24,
                 SWS_BICUBIC,
                 NULL, NULL, NULL
                 );
 
         if (img_convert_ctx == NULL)
             return false;//CV_Error(0, "Cannot initialize the conversion context!");
+
+#if USE_AV_FRAME_GET_BUFFER
+        av_frame_unref(&rgb_picture);
+        rgb_picture.format = AV_PIX_FMT_BGR24;
+        rgb_picture.width = buffer_width;
+        rgb_picture.height = buffer_height;
+        if (0 != av_frame_get_buffer(&rgb_picture, 32))
+        {
+            CV_WARN("OutOfMemory");
+            return false;
+        }
+#else
+        int aligns[AV_NUM_DATA_POINTERS];
+        avcodec_align_dimensions2(video_st->codec, &buffer_width, &buffer_height, aligns);
+        rgb_picture.data[0] = (uint8_t*)realloc(rgb_picture.data[0],
+                avpicture_get_size( AV_PIX_FMT_BGR24,
+                                    buffer_width, buffer_height ));
+        avpicture_fill( (AVPicture*)&rgb_picture, rgb_picture.data[0],
+                        AV_PIX_FMT_BGR24, buffer_width, buffer_height );
+#endif
+        frame.width = video_st->codec->width;
+        frame.height = video_st->codec->height;
+        frame.cn = 3;
+        frame.data = rgb_picture.data[0];
+        frame.step = rgb_picture.linesize[0];
     }
 
     sws_scale(
             img_convert_ctx,
             picture->data,
             picture->linesize,
-            0, video_st->codec->height,
+            0, video_st->codec->coded_height,
             rgb_picture.data,
             rgb_picture.linesize
             );
@@ -1005,7 +1246,7 @@ struct CvVideoWriter_FFMPEG
     uint8_t         * picbuf;
     AVStream        * video_st;
     int               input_pix_fmt;
-    Image_FFMPEG      temp_image;
+    unsigned char   * aligned_input;
     int               frame_width, frame_height;
     int               frame_idx;
     bool              ok;
@@ -1082,7 +1323,7 @@ void CvVideoWriter_FFMPEG::init()
     picbuf = 0;
     video_st = 0;
     input_pix_fmt = 0;
-    memset(&temp_image, 0, sizeof(temp_image));
+    aligned_input = NULL;
     img_convert_ctx = 0;
     frame_width = frame_height = 0;
     frame_idx = 0;
@@ -1099,10 +1340,20 @@ static AVFrame * icv_alloc_picture_FFMPEG(int pix_fmt, int width, int height, bo
     uint8_t * picture_buf;
     int size;
 
+#if LIBAVCODEC_BUILD >= (LIBAVCODEC_VERSION_MICRO >= 100 \
+    ? CALC_FFMPEG_VERSION(55, 45, 101) : CALC_FFMPEG_VERSION(55, 28, 1))
+    picture = av_frame_alloc();
+#else
     picture = avcodec_alloc_frame();
+#endif
     if (!picture)
         return NULL;
-    size = avpicture_get_size( (PixelFormat) pix_fmt, width, height);
+
+    picture->format = pix_fmt;
+    picture->width = width;
+    picture->height = height;
+
+    size = avpicture_get_size( (AVPixelFormat) pix_fmt, width, height);
     if(alloc){
         picture_buf = (uint8_t *) malloc(size);
         if (!picture_buf)
@@ -1111,7 +1362,7 @@ static AVFrame * icv_alloc_picture_FFMPEG(int pix_fmt, int width, int height, bo
             return NULL;
         }
         avpicture_fill((AVPicture *)picture, picture_buf,
-                       (PixelFormat) pix_fmt, width, height);
+                       (AVPixelFormat) pix_fmt, width, height);
     }
     else {
     }
@@ -1211,7 +1462,7 @@ static AVStream *icv_add_video_stream_FFMPEG(AVFormatContext *oc,
 #endif
 
     c->gop_size = 12; /* emit one intra frame every twelve frames at most */
-    c->pix_fmt = (PixelFormat) pixel_format;
+    c->pix_fmt = (AVPixelFormat) pixel_format;
 
     if (c->codec_id == CV_CODEC(CODEC_ID_MPEG2VIDEO)) {
         c->max_b_frames = 2;
@@ -1318,7 +1569,20 @@ static int icv_av_write_frame_FFMPEG( AVFormatContext * oc, AVStream * video_st,
 /// write a frame with FFMPEG
 bool CvVideoWriter_FFMPEG::writeFrame( const unsigned char* data, int step, int width, int height, int cn, int origin )
 {
-    bool ret = false;
+    // check parameters
+    if (input_pix_fmt == AV_PIX_FMT_BGR24) {
+        if (cn != 3) {
+            return false;
+        }
+    }
+    else if (input_pix_fmt == AV_PIX_FMT_GRAY8) {
+        if (cn != 1) {
+            return false;
+        }
+    }
+    else {
+        assert(false);
+    }
 
     if( (width & -2) != frame_width || (height & -2) != frame_height || !data )
         return false;
@@ -1332,71 +1596,43 @@ bool CvVideoWriter_FFMPEG::writeFrame( const unsigned char* data, int step, int
     AVCodecContext *c = &(video_st->codec);
 #endif
 
-#if LIBAVFORMAT_BUILD < 5231
-    // It is not needed in the latest versions of the ffmpeg
-    if( c->codec_id == CV_CODEC(CODEC_ID_RAWVIDEO) && origin != 1 )
+    // FFmpeg contains SIMD optimizations which can sometimes read data past
+    // the supplied input buffer. To ensure that doesn't happen, we pad the
+    // step to a multiple of 32 (that's the minimal alignment for which Valgrind
+    // doesn't raise any warnings).
+    const int STEP_ALIGNMENT = 32;
+    if( step % STEP_ALIGNMENT != 0 )
     {
-        if( !temp_image.data )
+        int aligned_step = (step + STEP_ALIGNMENT - 1) & -STEP_ALIGNMENT;
+
+        if( !aligned_input )
         {
-            temp_image.step = (width*cn + 3) & -4;
-            temp_image.width = width;
-            temp_image.height = height;
-            temp_image.cn = cn;
-            temp_image.data = (unsigned char*)malloc(temp_image.step*temp_image.height);
-        }
-        for( int y = 0; y < height; y++ )
-            memcpy(temp_image.data + y*temp_image.step, data + (height-1-y)*step, width*cn);
-        data = temp_image.data;
-        step = temp_image.step;
-    }
-#else
-    if( width*cn != step )
-    {
-        if( !temp_image.data )
-        {
-            temp_image.step = width*cn;
-            temp_image.width = width;
-            temp_image.height = height;
-            temp_image.cn = cn;
-            temp_image.data = (unsigned char*)malloc(temp_image.step*temp_image.height);
+            aligned_input = (unsigned char*)av_mallocz(aligned_step * height);
         }
+
         if (origin == 1)
             for( int y = 0; y < height; y++ )
-                memcpy(temp_image.data + y*temp_image.step, data + (height-1-y)*step, temp_image.step);
+                memcpy(aligned_input + y*aligned_step, data + (height-1-y)*step, step);
         else
             for( int y = 0; y < height; y++ )
-                memcpy(temp_image.data + y*temp_image.step, data + y*step, temp_image.step);
-        data = temp_image.data;
-        step = temp_image.step;
-    }
-#endif
+                memcpy(aligned_input + y*aligned_step, data + y*step, step);
 
-    // check parameters
-    if (input_pix_fmt == PIX_FMT_BGR24) {
-        if (cn != 3) {
-            return false;
-        }
-    }
-    else if (input_pix_fmt == PIX_FMT_GRAY8) {
-        if (cn != 1) {
-            return false;
-        }
-    }
-    else {
-        assert(false);
+        data = aligned_input;
+        step = aligned_step;
     }
 
     if ( c->pix_fmt != input_pix_fmt ) {
         assert( input_picture );
         // let input_picture point to the raw data buffer of 'image'
         avpicture_fill((AVPicture *)input_picture, (uint8_t *) data,
-                       (PixelFormat)input_pix_fmt, width, height);
+                       (AVPixelFormat)input_pix_fmt, width, height);
+        input_picture->linesize[0] = step;
 
         if( !img_convert_ctx )
         {
             img_convert_ctx = sws_getContext(width,
                                              height,
-                                             (PixelFormat)input_pix_fmt,
+                                             (AVPixelFormat)input_pix_fmt,
                                              c->width,
                                              c->height,
                                              c->pix_fmt,
@@ -1414,11 +1650,12 @@ bool CvVideoWriter_FFMPEG::writeFrame( const unsigned char* data, int step, int
     }
     else{
         avpicture_fill((AVPicture *)picture, (uint8_t *) data,
-                       (PixelFormat)input_pix_fmt, width, height);
+                       (AVPixelFormat)input_pix_fmt, width, height);
+        picture->linesize[0] = step;
     }
 
     picture->pts = frame_idx;
-    ret = icv_av_write_frame_FFMPEG( oc, video_st, outbuf, outbuf_size, picture) >= 0;
+    bool ret = icv_av_write_frame_FFMPEG( oc, video_st, outbuf, outbuf_size, picture) >= 0;
     frame_idx++;
 
     return ret;
@@ -1501,11 +1738,7 @@ void CvVideoWriter_FFMPEG::close()
     /* free the stream */
     avformat_free_context(oc);
 
-    if( temp_image.data )
-    {
-        free(temp_image.data);
-        temp_image.data = 0;
-    }
+    av_freep(&aligned_input);
 
     init();
 }
@@ -1547,10 +1780,10 @@ bool CvVideoWriter_FFMPEG::open( const char * filename, int fourcc,
 
     /* determine optimal pixel format */
     if (is_color) {
-        input_pix_fmt = PIX_FMT_BGR24;
+        input_pix_fmt = AV_PIX_FMT_BGR24;
     }
     else {
-        input_pix_fmt = PIX_FMT_GRAY8;
+        input_pix_fmt = AV_PIX_FMT_GRAY8;
     }
 
     /* Lookup codec_id for given fourcc */
@@ -1587,21 +1820,21 @@ bool CvVideoWriter_FFMPEG::open( const char * filename, int fourcc,
         break;
 #endif
     case CV_CODEC(CODEC_ID_HUFFYUV):
-        codec_pix_fmt = PIX_FMT_YUV422P;
+        codec_pix_fmt = AV_PIX_FMT_YUV422P;
         break;
     case CV_CODEC(CODEC_ID_MJPEG):
     case CV_CODEC(CODEC_ID_LJPEG):
-        codec_pix_fmt = PIX_FMT_YUVJ420P;
+        codec_pix_fmt = AV_PIX_FMT_YUVJ420P;
         bitrate_scale = 3;
         break;
     case CV_CODEC(CODEC_ID_RAWVIDEO):
-        codec_pix_fmt = input_pix_fmt == PIX_FMT_GRAY8 ||
-                        input_pix_fmt == PIX_FMT_GRAY16LE ||
-                        input_pix_fmt == PIX_FMT_GRAY16BE ? input_pix_fmt : PIX_FMT_YUV420P;
+        codec_pix_fmt = input_pix_fmt == AV_PIX_FMT_GRAY8 ||
+                        input_pix_fmt == AV_PIX_FMT_GRAY16LE ||
+                        input_pix_fmt == AV_PIX_FMT_GRAY16BE ? input_pix_fmt : AV_PIX_FMT_YUV420P;
         break;
     default:
         // good for lossy formats, MPEG, etc.
-        codec_pix_fmt = PIX_FMT_YUV420P;
+        codec_pix_fmt = AV_PIX_FMT_YUV420P;
         break;
     }
 
@@ -1826,7 +2059,7 @@ struct OutputMediaStream_FFMPEG
     void write(unsigned char* data, int size, int keyFrame);
 
     // add a video output stream to the container
-    static AVStream* addVideoStream(AVFormatContext *oc, CV_CODEC_ID codec_id, int w, int h, int bitrate, double fps, PixelFormat pixel_format);
+    static AVStream* addVideoStream(AVFormatContext *oc, CV_CODEC_ID codec_id, int w, int h, int bitrate, double fps, AVPixelFormat pixel_format);
 
     AVOutputFormat* fmt_;
     AVFormatContext* oc_;
@@ -1873,7 +2106,7 @@ void OutputMediaStream_FFMPEG::close()
     }
 }
 
-AVStream* OutputMediaStream_FFMPEG::addVideoStream(AVFormatContext *oc, CV_CODEC_ID codec_id, int w, int h, int bitrate, double fps, PixelFormat pixel_format)
+AVStream* OutputMediaStream_FFMPEG::addVideoStream(AVFormatContext *oc, CV_CODEC_ID codec_id, int w, int h, int bitrate, double fps, AVPixelFormat pixel_format)
 {
     #if LIBAVFORMAT_BUILD >= CALC_FFMPEG_VERSION(53, 10, 0)
         AVStream* st = avformat_new_stream(oc, 0);
@@ -2011,7 +2244,7 @@ bool OutputMediaStream_FFMPEG::open(const char* fileName, int width, int height,
     oc_->max_delay = (int)(0.7 * AV_TIME_BASE); // This reduces buffer underrun warnings with MPEG
 
     // set a few optimal pixel formats for lossless codecs of interest..
-    PixelFormat codec_pix_fmt = PIX_FMT_YUV420P;
+    AVPixelFormat codec_pix_fmt = AV_PIX_FMT_YUV420P;
     int bitrate_scale = 64;
 
     // TODO -- safe to ignore output audio stream?
@@ -2150,6 +2383,10 @@ private:
     AVFormatContext* ctx_;
     int video_stream_id_;
     AVPacket pkt_;
+
+#if USE_AV_INTERRUPT_CALLBACK
+    AVInterruptCallbackMetadata interrupt_metadata;
+#endif
 };
 
 bool InputMediaStream_FFMPEG::open(const char* fileName, int* codec, int* chroma_format, int* width, int* height)
@@ -2160,6 +2397,16 @@ bool InputMediaStream_FFMPEG::open(const char* fileName, int* codec, int* chroma
     video_stream_id_ = -1;
     memset(&pkt_, 0, sizeof(AVPacket));
 
+#if USE_AV_INTERRUPT_CALLBACK
+    /* interrupt callback */
+    interrupt_metadata.timeout_after_ms = LIBAVFORMAT_INTERRUPT_OPEN_TIMEOUT_MS;
+    get_monotonic_time(&interrupt_metadata.value);
+
+    ctx_ = avformat_alloc_context();
+    ctx_->interrupt_callback.callback = _opencv_ffmpeg_interrupt_callback;
+    ctx_->interrupt_callback.opaque = &interrupt_metadata;
+#endif
+
     #if LIBAVFORMAT_BUILD >= CALC_FFMPEG_VERSION(53, 13, 0)
         avformat_network_init();
     #endif
@@ -2220,15 +2467,15 @@ bool InputMediaStream_FFMPEG::open(const char* fileName, int* codec, int* chroma
 
             switch (enc->pix_fmt)
             {
-            case PIX_FMT_YUV420P:
+            case AV_PIX_FMT_YUV420P:
                 *chroma_format = ::VideoChromaFormat_YUV420;
                 break;
 
-            case PIX_FMT_YUV422P:
+            case AV_PIX_FMT_YUV422P:
                 *chroma_format = ::VideoChromaFormat_YUV422;
                 break;
 
-            case PIX_FMT_YUV444P:
+            case AV_PIX_FMT_YUV444P:
                 *chroma_format = ::VideoChromaFormat_YUV444;
                 break;
 
@@ -2248,6 +2495,11 @@ bool InputMediaStream_FFMPEG::open(const char* fileName, int* codec, int* chroma
 
     av_init_packet(&pkt_);
 
+#if USE_AV_INTERRUPT_CALLBACK
+    // deactivate interrupt callback
+    interrupt_metadata.timeout_after_ms = 0;
+#endif
+
     return true;
 }
 
@@ -2269,6 +2521,14 @@ void InputMediaStream_FFMPEG::close()
 
 bool InputMediaStream_FFMPEG::read(unsigned char** data, int* size, int* endOfFile)
 {
+    bool result = false;
+
+#if USE_AV_INTERRUPT_CALLBACK
+    // activate interrupt callback
+    get_monotonic_time(&interrupt_metadata.value);
+    interrupt_metadata.timeout_after_ms = LIBAVFORMAT_INTERRUPT_READ_TIMEOUT_MS;
+#endif
+
     // free last packet if exist
     if (pkt_.data)
         av_free_packet(&pkt_);
@@ -2276,6 +2536,13 @@ bool InputMediaStream_FFMPEG::read(unsigned char** data, int* size, int* endOfFi
     // get the next frame
     for (;;)
     {
+#if USE_AV_INTERRUPT_CALLBACK
+        if(interrupt_metadata.timeout)
+        {
+            break;
+        }
+#endif
+
         int ret = av_read_frame(ctx_, &pkt_);
 
         if (ret == AVERROR(EAGAIN))
@@ -2285,7 +2552,7 @@ bool InputMediaStream_FFMPEG::read(unsigned char** data, int* size, int* endOfFi
         {
             if (ret == (int)AVERROR_EOF)
                 *endOfFile = true;
-            return false;
+            break;
         }
 
         if (pkt_.stream_index != video_stream_id_)
@@ -2294,14 +2561,23 @@ bool InputMediaStream_FFMPEG::read(unsigned char** data, int* size, int* endOfFi
             continue;
         }
 
+        result = true;
         break;
     }
 
-    *data = pkt_.data;
-    *size = pkt_.size;
-    *endOfFile = false;
+#if USE_AV_INTERRUPT_CALLBACK
+    // deactivate interrupt callback
+    interrupt_metadata.timeout_after_ms = 0;
+#endif
 
-    return true;
+    if (result)
+    {
+        *data = pkt_.data;
+        *size = pkt_.size;
+        *endOfFile = false;
+    }
+
+    return result;
 }
 
 InputMediaStream_FFMPEG* create_InputMediaStream_FFMPEG(const char* fileName, int* codec, int* chroma_format, int* width, int* height)

modules/highgui/src/cap_images.cpp

@@ -67,10 +67,11 @@ class CvCapture_Images : public CvCapture
 public:
     CvCapture_Images()
     {
-        filename = 0;
+        filename = NULL;
         currentframe = firstframe = 0;
         length = 0;
-        frame = 0;
+        frame = NULL;
+        grabbedInOpen = false;
     }
 
     virtual ~CvCapture_Images()
@@ -92,6 +93,7 @@ protected:
     unsigned length; // length of sequence
 
     IplImage* frame;
+    bool grabbedInOpen;
 };
 
 
@@ -100,7 +102,7 @@ void CvCapture_Images::close()
     if( filename )
     {
         free(filename);
-        filename = 0;
+        filename = NULL;
     }
     currentframe = firstframe = 0;
     length = 0;
@@ -113,17 +115,25 @@ bool CvCapture_Images::grabFrame()
     char str[_MAX_PATH];
     sprintf(str, filename, firstframe + currentframe);
 
+    if (grabbedInOpen)
+    {
+        grabbedInOpen = false;
+        ++currentframe;
+
+        return frame != NULL;
+    }
+
     cvReleaseImage(&frame);
     frame = cvLoadImage(str, CV_LOAD_IMAGE_ANYDEPTH | CV_LOAD_IMAGE_ANYCOLOR);
     if( frame )
         currentframe++;
 
-    return frame != 0;
+    return frame != NULL;
 }
 
 IplImage* CvCapture_Images::retrieveFrame(int)
 {
-    return frame;
+    return grabbedInOpen ? NULL : frame;
 }
 
 double CvCapture_Images::getProperty(int id)
@@ -166,6 +176,8 @@ bool CvCapture_Images::setProperty(int id, double value)
             value = length - 1;
         }
         currentframe = cvRound(value);
+        if (currentframe != 0)
+            grabbedInOpen = false; // grabbed frame is not valid anymore
         return true;
     case CV_CAP_PROP_POS_AVI_RATIO:
         if(value > 1) {
@@ -176,6 +188,8 @@ bool CvCapture_Images::setProperty(int id, double value)
             value = 0;
         }
         currentframe = cvRound((length - 1) * value);
+        if (currentframe != 0)
+            grabbedInOpen = false; // grabbed frame is not valid anymore
         return true;
     }
     CV_WARN("unknown/unhandled property\n");
@@ -278,7 +292,13 @@ bool CvCapture_Images::open(const char * _filename)
     }
 
     firstframe = offset;
-    return true;
+
+    // grab frame to enable properties retrieval
+    bool grabRes = grabFrame();
+    grabbedInOpen = true;
+    currentframe = 0;
+
+    return grabRes;
 }
 
 
@@ -290,7 +310,7 @@ CvCapture* cvCreateFileCapture_Images(const char * filename)
         return capture;
 
     delete capture;
-    return 0;
+    return NULL;
 }
 
 //

modules/highgui/src/cap_qtkit.mm

@@ -95,6 +95,8 @@ didDropVideoFrameWithSampleBuffer:(QTSampleBuffer *)sampleBuffer
 - (int)updateImage;
 - (IplImage*)getOutput;
 
+- (void)doFireTimer:(NSTimer *)timer;
+
 @end
 
 /*****************************************************************************
@@ -297,7 +299,7 @@ bool CvCaptureCAM::grabFrame(double timeOut) {
     // method exits immediately"
     // using usleep() is not a good alternative, because it may block the GUI.
     // Create a dummy timer so that runUntilDate does not exit immediately:
-    [NSTimer scheduledTimerWithTimeInterval:100 target:nil selector:@selector(doFireTimer:) userInfo:nil repeats:YES];
+    [NSTimer scheduledTimerWithTimeInterval:100 target:capture selector:@selector(doFireTimer:) userInfo:nil repeats:YES];
     while (![capture updateImage] && (total += sleepTime)<=timeOut) {
         [[NSRunLoop currentRunLoop] runUntilDate:[NSDate dateWithTimeIntervalSinceNow:sleepTime]];
     }
@@ -625,6 +627,11 @@ didDropVideoFrameWithSampleBuffer:(QTSampleBuffer *)sampleBuffer
     return 1;
 }
 
+- (void)doFireTimer:(NSTimer *)timer {
+    (void)timer;
+    // dummy
+}
+
 @end
 
 

modules/highgui/src/cap_v4l.cpp

@@ -491,8 +491,6 @@ static int try_init_v4l2(CvCaptureCAM_V4L* capture, char *deviceName)
   //  0 then detected nothing
   //  1 then V4L2 device
 
-  int deviceIndex;
-
   /* Open and test V4L2 device */
   capture->deviceHandle = open (deviceName, O_RDWR /* required */ | O_NONBLOCK, 0);
   if (-1 == capture->deviceHandle)
@@ -514,28 +512,6 @@ static int try_init_v4l2(CvCaptureCAM_V4L* capture, char *deviceName)
     return 0;
   }
 
-  /* Query channels number */
-  if (-1 == ioctl (capture->deviceHandle, VIDIOC_G_INPUT, &deviceIndex))
-  {
-#ifndef NDEBUG
-    fprintf(stderr, "(DEBUG) try_init_v4l2 VIDIOC_G_INPUT \"%s\": %s\n", deviceName, strerror(errno));
-#endif
-    icvCloseCAM_V4L(capture);
-    return 0;
-  }
-
-  /* Query information about current input */
-  CLEAR (capture->inp);
-  capture->inp.index = deviceIndex;
-  if (-1 == ioctl (capture->deviceHandle, VIDIOC_ENUMINPUT, &capture->inp))
-  {
-#ifndef NDEBUG
-    fprintf(stderr, "(DEBUG) try_init_v4l2 VIDIOC_ENUMINPUT \"%s\": %s\n", deviceName, strerror(errno));
-#endif
-    icvCloseCAM_V4L(capture);
-    return 0;
-  }
-
   return 1;
 
 }
@@ -834,26 +810,6 @@ static int _capture_V4L2 (CvCaptureCAM_V4L *capture, char *deviceName)
       return -1;
    }
 
-   /* The following code sets the CHANNEL_NUMBER of the video input.  Some video sources
-   have sub "Channel Numbers".  For a typical V4L TV capture card, this is usually 1.
-   I myself am using a simple NTSC video input capture card that uses the value of 1.
-   If you are not in North America or have a different video standard, you WILL have to change
-   the following settings and recompile/reinstall.  This set of settings is based on
-   the most commonly encountered input video source types (like my bttv card) */
-
-   if(capture->inp.index > 0) {
-       CLEAR (capture->inp);
-       capture->inp.index = CHANNEL_NUMBER;
-       /* Set only channel number to CHANNEL_NUMBER */
-       /* V4L2 have a status field from selected video mode */
-       if (-1 == ioctl (capture->deviceHandle, VIDIOC_ENUMINPUT, &capture->inp))
-       {
-         fprintf (stderr, "HIGHGUI ERROR: V4L2: Aren't able to set channel number\n");
-         icvCloseCAM_V4L (capture);
-         return -1;
-       }
-   } /* End if */
-
    /* Find Window info */
    CLEAR (capture->form);
    capture->form.type = V4L2_BUF_TYPE_VIDEO_CAPTURE;
@@ -1157,6 +1113,9 @@ static CvCaptureCAM_V4L * icvCaptureFromCAM_V4L (int index)
        }
 #endif  /* HAVE_CAMV4L */
 #ifdef HAVE_CAMV4L2
+#ifndef HAVE_CAMV4L
+       return NULL;
+#endif  /* !HAVE_CAMV4L */
    } else {
        V4L2_SUPPORT = 1;
    }

modules/highgui/src/grfmt_jpeg2000.cpp

@@ -502,7 +502,7 @@ bool  Jpeg2KEncoder::writeComponent16u( void *__img, const Mat& _img )
 
     for( int y = 0; y < h; y++ )
     {
-        uchar* data = _img.data + _img.step*y;
+        const ushort* data = _img.ptr<ushort>(y);
         for( int i = 0; i < ncmpts; i++ )
         {
             for( int x = 0; x < w; x++)

modules/highgui/src/grfmt_png.cpp

@@ -228,8 +228,6 @@ bool  PngDecoder::readData( Mat& img )
     AutoBuffer<uchar*> _buffer(m_height);
     uchar** buffer = _buffer;
     int color = img.channels() > 1;
-    uchar* data = img.data;
-    int step = (int)img.step;
 
     if( m_png_ptr && m_info_ptr && m_end_info && m_width && m_height )
     {
@@ -281,7 +279,7 @@ bool  PngDecoder::readData( Mat& img )
             png_read_update_info( png_ptr, info_ptr );
 
             for( y = 0; y < m_height; y++ )
-                buffer[y] = data + y*step;
+                buffer[y] = img.data + y*img.step;
 
             png_read_image( png_ptr, buffer );
             png_read_end( png_ptr, end_info );

modules/highgui/src/window_gtk.cpp

@@ -1007,13 +1007,33 @@ static void icvDeleteWindow( CvWindow* window )
     }
 
     cvFree( &window );
+
+    // if last window...
+    if( hg_windows == 0 )
+    {
 #ifdef HAVE_GTHREAD
-    // if last window, send key press signal
-    // to jump out of any waiting cvWaitKey's
-    if(hg_windows==0 && thread_started){
-        g_cond_broadcast(cond_have_key);
-    }
+        if( thread_started )
+        {
+            // send key press signal to jump out of any waiting cvWaitKey's
+            g_cond_broadcast( cond_have_key );
+        }
+        else
+        {
 #endif
+            // Some GTK+ modules (like the Unity module) use GDBusConnection,
+            // which has a habit of postponing cleanup by performing it via
+            // idle sources added to the main loop. Since this was the last window,
+            // we can assume that no event processing is going to happen in the
+            // nearest future, so we should force that cleanup (by handling all pending
+            // events) while we still have the chance.
+            // This is not needed if thread_started is true, because the background
+            // thread will process events continuously.
+            while( gtk_events_pending() )
+                gtk_main_iteration();
+#ifdef HAVE_GTHREAD
+        }
+#endif
+    }
 }
 
 

modules/imgproc/doc/filtering.rst

@@ -1231,6 +1231,8 @@ Performs advanced morphological transformations.
 
             * **MORPH_BLACKHAT** - "black hat"
 
+            * **MORPH_HITMISS** - "hit and miss"
+
     :param iterations: Number of times erosion and dilation are applied.
 
     :param borderType: Pixel extrapolation method. See  :ocv:func:`borderInterpolate` for details.
@@ -1269,6 +1271,8 @@ Morphological gradient:
 
     \texttt{dst} = \mathrm{blackhat} ( \texttt{src} , \texttt{element} )= \mathrm{close} ( \texttt{src} , \texttt{element} )- \texttt{src}
 
+"Hit and Miss": Only supported for CV_8UC1 binary images. Tutorial can be found in this page: http://opencv-code.com/tutorials/hit-or-miss-transform-in-opencv/
+
 Any of the operations can be done in-place. In case of multi-channel images, each channel is processed independently.
 
 .. seealso::

modules/imgproc/doc/geometric_transformations.rst

@@ -721,7 +721,10 @@ Computes the ideal point coordinates from the observed point coordinates.
 
 .. ocv:function:: void undistortPoints( InputArray src, OutputArray dst, InputArray cameraMatrix, InputArray distCoeffs, InputArray R=noArray(), InputArray P=noArray())
 
+.. ocv:pyfunction:: cv2.undistortPoints(src, cameraMatrix, distCoeffs[, dst[, R[, P]]]) -> dst
+
 .. ocv:cfunction:: void cvUndistortPoints( const CvMat* src, CvMat* dst, const CvMat* camera_matrix, const CvMat* dist_coeffs, const CvMat* R=0, const CvMat* P=0 )
+
 .. ocv:pyoldfunction:: cv.UndistortPoints(src, dst, cameraMatrix, distCoeffs, R=None, P=None)-> None
 
     :param src: Observed point coordinates, 1xN or Nx1 2-channel (CV_32FC2 or CV_64FC2).

modules/imgproc/include/opencv2/imgproc/imgproc.hpp

@@ -352,7 +352,7 @@ CV_EXPORTS_W Mat getGaborKernel( Size ksize, double sigma, double theta, double
 enum { MORPH_ERODE=CV_MOP_ERODE, MORPH_DILATE=CV_MOP_DILATE,
        MORPH_OPEN=CV_MOP_OPEN, MORPH_CLOSE=CV_MOP_CLOSE,
        MORPH_GRADIENT=CV_MOP_GRADIENT, MORPH_TOPHAT=CV_MOP_TOPHAT,
-       MORPH_BLACKHAT=CV_MOP_BLACKHAT };
+       MORPH_BLACKHAT=CV_MOP_BLACKHAT, MORPH_HITMISS };
 
 //! returns horizontal 1D morphological filter
 CV_EXPORTS Ptr<BaseRowFilter> getMorphologyRowFilter(int op, int type, int ksize, int anchor=-1);

modules/imgproc/src/canny.cpp

@@ -230,7 +230,7 @@ void cv::Canny( InputArray _src, OutputArray _dst,
         if ((stack_top - stack_bottom) + src.cols > maxsize)
         {
             int sz = (int)(stack_top - stack_bottom);
-            maxsize = maxsize * 3/2;
+            maxsize = std::max(sz + src.cols, maxsize * 3/2);
             stack.resize(maxsize);
             stack_bottom = &stack[0];
             stack_top = stack_bottom + sz;

modules/imgproc/src/morph.cpp

@@ -584,19 +584,11 @@ typedef MorphFVec<VMax32f> DilateVec32f;
 
 #else
 
-#ifdef HAVE_TEGRA_OPTIMIZATION
-using tegra::ErodeRowVec8u;
-using tegra::DilateRowVec8u;
-
-using tegra::ErodeColumnVec8u;
-using tegra::DilateColumnVec8u;
-#else
 typedef MorphRowNoVec ErodeRowVec8u;
 typedef MorphRowNoVec DilateRowVec8u;
 
 typedef MorphColumnNoVec ErodeColumnVec8u;
 typedef MorphColumnNoVec DilateColumnVec8u;
-#endif
 
 typedef MorphRowNoVec ErodeRowVec16u;
 typedef MorphRowNoVec DilateRowVec16u;
@@ -1114,6 +1106,17 @@ public:
         Mat srcStripe = src.rowRange(row0, row1);
         Mat dstStripe = dst.rowRange(row0, row1);
 
+
+#if defined HAVE_TEGRA_OPTIMIZATION
+        //Iterative separable filters are converted to single iteration filters
+        //But anyway check that we really get 1 iteration prior to processing
+        if( countNonZero(kernel) == kernel.rows*kernel.cols && iterations == 1 &&
+            src.depth() == CV_8U && ( op == MORPH_ERODE || op == MORPH_DILATE ) &&
+            tegra::morphology(srcStripe, dstStripe, op, kernel, anchor,
+                              rowBorderType, columnBorderType, borderValue) )
+            return;
+#endif
+
         Ptr<FilterEngine> f = createMorphologyFilter(op, src.type(), kernel, anchor,
                                                      rowBorderType, columnBorderType, borderValue );
 
@@ -1374,6 +1377,8 @@ void cv::morphologyEx( InputArray _src, OutputArray _dst, int op,
     _dst.create(src.size(), src.type());
     Mat dst = _dst.getMat();
 
+    Mat k1, k2, e1, e2;        //only for hit and miss op
+
     switch( op )
     {
     case MORPH_ERODE:
@@ -1409,6 +1414,24 @@ void cv::morphologyEx( InputArray _src, OutputArray _dst, int op,
         erode( temp, temp, kernel, anchor, iterations, borderType, borderValue );
         dst = temp - src;
         break;
+    case MORPH_HITMISS:
+        CV_Assert(src.type() == CV_8UC1);
+        k1 = (kernel.getMat() == 1);
+        k2 = (kernel.getMat() == -1);
+        if (countNonZero(k1) <= 0)
+            e1 = src;
+        else
+            erode(src, e1, k1, anchor, iterations, borderType, borderValue);
+        if (countNonZero(k2) <= 0)
+            e2 = src;
+        else
+        {
+            Mat src_complement;
+            bitwise_not(src, src_complement);
+            erode(src_complement, e2, k2, anchor, iterations, borderType, borderValue);
+        }
+        dst = e1 & e2;
+        break;
     default:
         CV_Error( CV_StsBadArg, "unknown morphological operation" );
     }

modules/imgproc/src/pyramids.cpp

@@ -349,7 +349,7 @@ pyrUp_( const Mat& _src, Mat& _dst, int)
         for( ; sy <= y + 1; sy++ )
         {
             WT* row = buf + ((sy - sy0) % PU_SZ)*bufstep;
-            int _sy = borderInterpolate(sy*2, dsize.height, BORDER_REFLECT_101)/2;
+            int _sy = borderInterpolate(sy*2, ssize.height*2, BORDER_REFLECT_101)/2;
             const T* src = (const T*)(_src.data + _src.step*_sy);
 
             if( ssize.width == cn )
@@ -370,6 +370,11 @@ pyrUp_( const Mat& _src, Mat& _dst, int)
                 t0 = src[sx - cn] + src[sx]*7;
                 t1 = src[sx]*8;
                 row[dx] = t0; row[dx + cn] = t1;
+
+                if (dsize.width > ssize.width*2)
+                {
+                    row[(_dst.cols-1) + x] = row[dx + cn];
+                }
             }
 
             for( x = cn; x < ssize.width - cn; x++ )
@@ -395,6 +400,17 @@ pyrUp_( const Mat& _src, Mat& _dst, int)
             dst1[x] = t1; dst0[x] = t0;
         }
     }
+
+    if (dsize.height > ssize.height*2)
+    {
+        T* dst0 = _dst.ptr<T>(ssize.height*2-2);
+        T* dst2 = _dst.ptr<T>(ssize.height*2);
+
+        for(x = 0; x < dsize.width ; x++ )
+        {
+            dst2[x] = dst0[x];
+        }
+    }
 }
 
 typedef void (*PyrFunc)(const Mat&, Mat&, int);

modules/java/CMakeLists.txt

@@ -247,7 +247,7 @@ if(ANDROID)
     # build the library project
     # normally we should do this after a native part, but for a library project we can build the java part first
     add_custom_command(OUTPUT "${JAR_FILE}" "${JAR_FILE}.dephelper"
-                       COMMAND ${ANT_EXECUTABLE} -q -noinput -k debug
+                       COMMAND ${ANT_EXECUTABLE} -q -noinput -k debug -Djava.target=1.6 -Djava.source=1.6
                        COMMAND ${CMAKE_COMMAND} -E touch "${JAR_FILE}.dephelper" # can not rely on classes.jar because different versions of SDK update timestamp at different times
                        WORKING_DIRECTORY "${OpenCV_BINARY_DIR}"
                        DEPENDS ${step3_depends}

modules/java/android_test/CMakeLists.txt

@@ -43,7 +43,7 @@ list(APPEND opencv_test_java_file_deps ${android_proj_target_files})
 add_custom_command(
     OUTPUT "${opencv_test_java_bin_dir}/bin/OpenCVTest-debug.apk"
     COMMAND ${CMAKE_COMMAND} -E copy "${OpenCV_BINARY_DIR}/lib/${ANDROID_NDK_ABI_NAME}/libopencv_java.so" "${opencv_test_java_bin_dir}/libs/${ANDROID_NDK_ABI_NAME}/libopencv_java.so"
-    COMMAND ${ANT_EXECUTABLE} -q -noinput -k debug
+    COMMAND ${ANT_EXECUTABLE} -q -noinput -k debug -Djava.target=1.6 -Djava.source=1.6
     COMMAND ${CMAKE_COMMAND} -E touch "${opencv_test_java_bin_dir}/bin/OpenCVTest-debug.apk" # needed because ant does not update the timestamp of updated apk
     WORKING_DIRECTORY "${opencv_test_java_bin_dir}"
     MAIN_DEPENDENCY "${opencv_test_java_bin_dir}/${ANDROID_MANIFEST_FILE}"

modules/java/generator/gen_java.py

@@ -1119,7 +1119,7 @@ extern "C" {
                     ("jdoubleArray _da_retval_ = env->NewDoubleArray(%(cnt)i);  " +
                      "jdouble _tmp_retval_[%(cnt)i] = {%(args)s}; " +
                      "env->SetDoubleArrayRegion(_da_retval_, 0, %(cnt)i, _tmp_retval_);") %
-                    { "cnt" : len(fields), "args" : ", ".join(["_retval_" + f[1] for f in fields]) } )
+                    { "cnt" : len(fields), "args" : ", ".join(["(jdouble)_retval_" + f[1] for f in fields]) } )
             if fi.classname and fi.ctype and not fi.static: # non-static class method except c-tor
                 # adding 'self'
                 jn_args.append ( ArgInfo([ "__int64", "nativeObj", "", [], "" ]) )
@@ -1167,7 +1167,7 @@ extern "C" {
                         j_prologue.append( "double[] %s_out = new double[%i];" % (a.name, len(fields)) )
                         c_epilogue.append( \
                             "jdouble tmp_%(n)s[%(cnt)i] = {%(args)s}; env->SetDoubleArrayRegion(%(n)s_out, 0, %(cnt)i, tmp_%(n)s);" %
-                            { "n" : a.name, "cnt" : len(fields), "args" : ", ".join([a.name + f[1] for f in fields]) } )
+                            { "n" : a.name, "cnt" : len(fields), "args" : ", ".join(["(jdouble)" + a.name + f[1] for f in fields]) } )
                         if a.ctype in ('bool', 'int', 'long', 'float', 'double'):
                             j_epilogue.append('if(%(n)s!=null) %(n)s[0] = (%(t)s)%(n)s_out[0];' % {'n':a.name,'t':a.ctype})
                         else:

modules/java/generator/src/cpp/Mat.cpp

@@ -1069,7 +1069,7 @@ JNIEXPORT void JNICALL Java_org_opencv_core_Mat_locateROI_10
         Size wholeSize;
         Point ofs;
         me->locateROI( wholeSize, ofs );
-        jdouble tmp_wholeSize[2] = {wholeSize.width, wholeSize.height}; env->SetDoubleArrayRegion(wholeSize_out, 0, 2, tmp_wholeSize);  jdouble tmp_ofs[2] = {ofs.x, ofs.y}; env->SetDoubleArrayRegion(ofs_out, 0, 2, tmp_ofs);
+        jdouble tmp_wholeSize[2] = {(jdouble)wholeSize.width, (jdouble)wholeSize.height}; env->SetDoubleArrayRegion(wholeSize_out, 0, 2, tmp_wholeSize);  jdouble tmp_ofs[2] = {(jdouble)ofs.x, (jdouble)ofs.y}; env->SetDoubleArrayRegion(ofs_out, 0, 2, tmp_ofs);
     } catch(const std::exception &e) {
         throwJavaException(env, &e, method_name);
     } catch (...) {
@@ -1488,7 +1488,7 @@ JNIEXPORT jdoubleArray JNICALL Java_org_opencv_core_Mat_n_1size
         Mat* me = (Mat*) self; //TODO: check for NULL
         Size _retval_ = me->size(  );
         jdoubleArray _da_retval_ = env->NewDoubleArray(2);
-        jdouble _tmp_retval_[2] = {_retval_.width, _retval_.height};
+        jdouble _tmp_retval_[2] = {(jdouble)_retval_.width, (jdouble)_retval_.height};
         env->SetDoubleArrayRegion(_da_retval_, 0, 2, _tmp_retval_);
         return _da_retval_;
     } catch(const std::exception &e) {

modules/java/generator/src/cpp/gpu.cpp

@@ -451,9 +451,9 @@ JNIEXPORT void JNICALL Java_org_opencv_gpu_DeviceInfo_queryMemory_10
         size_t totalMemory;
         size_t freeMemory;
         me->queryMemory( totalMemory, freeMemory );
-        jdouble tmp_totalMemory[1] = {totalMemory};
+        jdouble tmp_totalMemory[1] = {(jdouble)totalMemory};
         env->SetDoubleArrayRegion(totalMemory_out, 0, 1, tmp_totalMemory);
-        jdouble tmp_freeMemory[1] = {freeMemory};
+        jdouble tmp_freeMemory[1] = {(jdouble)freeMemory};
         env->SetDoubleArrayRegion(freeMemory_out, 0, 1, tmp_freeMemory);
         return;
     } catch(const std::exception &e) {

modules/legacy/src/pyrsegmentation.cpp

@@ -130,8 +130,8 @@ static void icvMaxRoi1( _CvRect16u *max_rect, int x, int y );
                                        (float)fabs((a).green - (b).green),  \
                                        (float)fabs((a).blue - (b).blue))*/
 
-#define _CV_NEXT_BASE_C1(p,n) (_CvPyramid*)((char*)(p) + (n)*sizeof(_CvPyramidBase))
-#define _CV_NEXT_BASE_C3(p,n) (_CvPyramidC3*)((char*)(p) + (n)*sizeof(_CvPyramidBaseC3))
+#define _CV_NEXT_BASE_C1(p,n) ((_CvPyramid*)((char*)(p) + (n)*(ptrdiff_t)sizeof(_CvPyramidBase)))
+#define _CV_NEXT_BASE_C3(p,n) ((_CvPyramidC3*)((char*)(p) + (n)*(ptrdiff_t)sizeof(_CvPyramidBaseC3)))
 
 
 CV_INLINE float icvRGBDist_Max( const _CvRGBf& a, const _CvRGBf& b )
@@ -868,7 +868,7 @@ icvPyrSegmentation8uC3R( uchar * src_image, int src_step,
 
                     if( p_cur[size.width].a == 0 )
                     {
-                        p_cur[size.width].c = p_prev[(l != 0) - 1].c;
+                        p_cur[size.width].c = (l != 0) ? p_prev->c : _CV_NEXT_BASE_C3( p_prev, -1 )->c;
                     }
                     else
                     {

modules/ml/src/svm.cpp

@@ -1880,7 +1880,7 @@ bool CvSVM::train_auto( const CvMat* _train_data, const CvMat* _responses,
         qsort(ratios, k_fold, sizeof(ratios[0]), icvCmpIndexedratio);
         double old_dist = 0.0;
         for (int k=0; k<k_fold; ++k)
-            old_dist += abs(ratios[k].val-class_ratio);
+            old_dist += std::abs(ratios[k].val-class_ratio);
         double new_dist = 1.0;
         // iterate to make the folds more balanced
         while (new_dist > 0.0)
@@ -1897,7 +1897,7 @@ bool CvSVM::train_auto( const CvMat* _train_data, const CvMat* _responses,
             qsort(ratios, k_fold, sizeof(ratios[0]), icvCmpIndexedratio);
             new_dist = 0.0;
             for (int k=0; k<k_fold; ++k)
-                new_dist += abs(ratios[k].val-class_ratio);
+                new_dist += std::abs(ratios[k].val-class_ratio);
             if (new_dist < old_dist)
             {
                 // swapping really improves, so swap the samples

modules/nonfree/src/surf_ocl.cpp

@@ -119,8 +119,8 @@ public:
     void compute_descriptors_gpu(const oclMat &descriptors, const oclMat &keypoints, int nFeatures);
     // end of kernel callers declarations
 
-    SURF_OCL_Invoker(SURF_OCL &surf, const oclMat &img, const oclMat &mask) :
-        surf_(surf),
+    SURF_OCL_Invoker(SURF_OCL &theSurf, const oclMat &img, const oclMat &mask) :
+        surf_(theSurf),
         img_cols(img.cols), img_rows(img.rows),
         use_mask(!mask.empty()), counters(oclMat()),
         imgTex(NULL), sumTex(NULL), maskSumTex(NULL), _img(img)
@@ -139,7 +139,7 @@ public:
         CV_Assert(layer_rows - 2 * min_margin > 0);
         CV_Assert(layer_cols - 2 * min_margin > 0);
 
-        maxFeatures   = std::min(static_cast<int>(img.size().area() * surf.keypointsRatio), 65535);
+        maxFeatures   = std::min(static_cast<int>(img.size().area() * theSurf.keypointsRatio), 65535);
         maxCandidates = std::min(static_cast<int>(1.5 * maxFeatures), 65535);
 
         CV_Assert(maxFeatures > 0);
@@ -396,9 +396,9 @@ void cv::ocl::SURF_OCL::operator()(const oclMat &img, const oclMat &mask, oclMat
 {
     if (!img.empty())
     {
-        SURF_OCL_Invoker surf(*this, img, mask);
+        SURF_OCL_Invoker theSurf(*this, img, mask);
 
-        surf.detectKeypoints(keypoints);
+        theSurf.detectKeypoints(keypoints);
     }
 }
 
@@ -407,16 +407,16 @@ void cv::ocl::SURF_OCL::operator()(const oclMat &img, const oclMat &mask, oclMat
 {
     if (!img.empty())
     {
-        SURF_OCL_Invoker surf(*this, img, mask);
+        SURF_OCL_Invoker theSurf(*this, img, mask);
 
         if (!useProvidedKeypoints)
-            surf.detectKeypoints(keypoints);
+            theSurf.detectKeypoints(keypoints);
         else if (!upright)
         {
-            surf.findOrientation(keypoints);
+            theSurf.findOrientation(keypoints);
         }
 
-        surf.computeDescriptors(keypoints, descriptors, descriptorSize());
+        theSurf.computeDescriptors(keypoints, descriptors, descriptorSize());
     }
 }
 
@@ -482,23 +482,23 @@ void cv::ocl::SURF_OCL::operator()(InputArray img, InputArray mask, vector<KeyPo
             _mask.upload(mask.getMat());
     }
 
-    SURF_OCL_Invoker surf((SURF_OCL&)*this, _img, _mask);
+    SURF_OCL_Invoker theSurf((SURF_OCL&)*this, _img, _mask);
     oclMat keypointsGPU;
 
     if (!useProvidedKeypoints || !upright)
         ((SURF_OCL*)this)->uploadKeypoints(keypoints, keypointsGPU);
 
     if (!useProvidedKeypoints)
-        surf.detectKeypoints(keypointsGPU);
+        theSurf.detectKeypoints(keypointsGPU);
     else if (!upright)
-        surf.findOrientation(keypointsGPU);
+        theSurf.findOrientation(keypointsGPU);
     if(keypointsGPU.cols*keypointsGPU.rows != 0)
         ((SURF_OCL*)this)->downloadKeypoints(keypointsGPU, keypoints);
 
     if( descriptors.needed() )
     {
         oclMat descriptorsGPU;
-        surf.computeDescriptors(keypointsGPU, descriptorsGPU, descriptorSize());
+        theSurf.computeDescriptors(keypointsGPU, descriptorsGPU, descriptorSize());
         Size sz = descriptorsGPU.size();
         if( descriptors.kind() == _InputArray::STD_VECTOR )
         {

modules/ocl/src/arithm.cpp

@@ -108,7 +108,7 @@ static void arithmetic_run_generic(const oclMat &src1, const oclMat &src2, const
 #else
     size_t localThreads[3]  = { 16, 16, 1 };
 #endif
-    size_t globalThreads[3] = { dst.cols, dst.rows, 1 };
+    size_t globalThreads[3] = { (size_t)dst.cols, (size_t)dst.rows, 1 };
 
     std::string kernelName = "arithm_binary_op";
 
@@ -266,7 +266,7 @@ static void compare_run(const oclMat &src1, const oclMat &src2, oclMat &dst, int
 
     int depth = src1.depth();
     size_t localThreads[3]  = { 64, 4, 1 };
-    size_t globalThreads[3] = { dst.cols, dst.rows, 1 };
+    size_t globalThreads[3] = { (size_t)dst.cols, (size_t)dst.rows, 1 };
 
     int src1step1 = src1.step1(), src1offset1 = src1.offset / src1.elemSize1();
     int src2step1 = src2.step1(), src2offset1 = src2.offset / src2.elemSize1();
@@ -336,7 +336,7 @@ static void arithmetic_sum_buffer_run(const oclMat &src, cl_mem &dst, int groupn
     args.push_back( make_pair( sizeof(cl_int) , (void *)&total ));
     args.push_back( make_pair( sizeof(cl_int) , (void *)&groupnum ));
     args.push_back( make_pair( sizeof(cl_mem) , (void *)&dst ));
-    size_t globalThreads[3] = { groupnum * 256, 1, 1 };
+    size_t globalThreads[3] = { (size_t)groupnum * 256, 1, 1 };
 
 #ifdef ANDROID
     openCLExecuteKernel(src.clCxt, &arithm_sum, "arithm_op_sum", globalThreads, NULL,
@@ -514,7 +514,7 @@ static void arithmetic_minMax_run(const oclMat &src, const oclMat & mask, cl_mem
         buildOptions += " -D WITH_MASK";
     }
 
-    size_t globalThreads[3] = { groupnum * 256, 1, 1 };
+    size_t globalThreads[3] = { (size_t)groupnum * 256, 1, 1 };
     size_t localThreads[3] = { 256, 1, 1 };
 
     // kernel use fixed grid size, replace lt on NULL is impossible without kernel changes
@@ -638,7 +638,7 @@ static void arithm_absdiff_nonsaturate_run(const oclMat & src1, const oclMat & s
 #else
     size_t localThreads[3]  = { 16, 16, 1 };
 #endif
-    size_t globalThreads[3] = { diff.cols, diff.rows, 1 };
+    size_t globalThreads[3] = { (size_t)diff.cols, (size_t)diff.rows, 1 };
 
     const char * const typeMap[] = { "uchar", "char", "ushort", "short", "int", "float", "double" };
     const char * const channelMap[] = { "", "", "2", "4", "4" };
@@ -744,7 +744,7 @@ static void arithmetic_flip_run(const oclMat &src, oclMat &dst, string kernelNam
     std::string buildOptions = format("-D T=%s%s", typeMap[dst.depth()], channelMap[dst.oclchannels()]);
 
     size_t localThreads[3]  = { 64, 4, 1 };
-    size_t globalThreads[3] = { cols, rows, 1 };
+    size_t globalThreads[3] = { (size_t)cols, (size_t)rows, 1 };
 
     int elemSize = src.elemSize();
     int src_step = src.step / elemSize, src_offset = src.offset / elemSize;
@@ -797,7 +797,7 @@ static void arithmetic_lut_run(const oclMat &src, const oclMat &lut, oclMat &dst
     int cols1 = src.cols * src.oclchannels();
 
     size_t localSize[] = { 16, 16, 1 };
-    size_t globalSize[] = { lut.channels() == 1 ? cols1 : src.cols, src.rows, 1 };
+    size_t globalSize[] = { (size_t)(lut.channels() == 1 ? cols1 : src.cols), (size_t)src.rows, 1 };
 
     const char * const typeMap[] = { "uchar", "char", "ushort", "short", "int", "float", "double" };
     std::string buildOptions = format("-D srcT=%s -D dstT=%s", typeMap[sdepth], typeMap[dst.depth()]);
@@ -862,7 +862,7 @@ static void arithmetic_exp_log_run(const oclMat &src, oclMat &dst, string kernel
 #else
     size_t localThreads[3]  = { 64, 4, 1 };
 #endif
-    size_t globalThreads[3] = { dst.cols, dst.rows, 1 };
+    size_t globalThreads[3] = { (size_t)dst.cols, (size_t)dst.rows, 1 };
 
     std::string buildOptions = format("-D srcT=%s",
                                       ddepth == CV_32F ? "float" : "double");
@@ -904,7 +904,7 @@ static void arithmetic_magnitude_phase_run(const oclMat &src1, const oclMat &src
 #else
     size_t localThreads[3]  = { 64, 4, 1 };
 #endif
-    size_t globalThreads[3] = { dst.cols, dst.rows, 1 };
+    size_t globalThreads[3] = { (size_t)dst.cols, (size_t)dst.rows, 1 };
 
     int src1_step = src1.step / src1.elemSize(), src1_offset = src1.offset / src1.elemSize();
     int src2_step = src2.step / src2.elemSize(), src2_offset = src2.offset / src2.elemSize();
@@ -956,7 +956,7 @@ static void arithmetic_phase_run(const oclMat &src1, const oclMat &src2, oclMat
 #else
     size_t localThreads[3]  = { 64, 4, 1 };
 #endif
-    size_t globalThreads[3] = { cols1, dst.rows, 1 };
+    size_t globalThreads[3] = { (size_t)cols1, (size_t)dst.rows, 1 };
 
     vector<pair<size_t , const void *> > args;
     args.push_back( make_pair( sizeof(cl_mem), (void *)&src1.data ));
@@ -1006,7 +1006,7 @@ static void arithmetic_cartToPolar_run(const oclMat &src1, const oclMat &src2, o
 #else
     size_t localThreads[3]  = { 64, 4, 1 };
 #endif
-    size_t globalThreads[3] = { cols, src1.rows, 1 };
+    size_t globalThreads[3] = { (size_t)cols, (size_t)src1.rows, 1 };
 
     int src1_step = src1.step / src1.elemSize1(), src1_offset = src1.offset / src1.elemSize1();
     int src2_step = src2.step / src2.elemSize1(), src2_offset = src2.offset / src2.elemSize1();
@@ -1064,7 +1064,7 @@ static void arithmetic_ptc_run(const oclMat &src1, const oclMat &src2, oclMat &d
 #else
     size_t localThreads[3]  = { 64, 4, 1 };
 #endif
-    size_t globalThreads[3] = { cols, rows, 1 };
+    size_t globalThreads[3] = { (size_t)cols, (size_t)rows, 1 };
 
     int src1_step = src1.step / src1.elemSize1(), src1_offset = src1.offset / src1.elemSize1();
     int src2_step = src2.step / src2.elemSize1(), src2_offset = src2.offset / src2.elemSize1();
@@ -1138,7 +1138,7 @@ static void arithmetic_minMaxLoc_run(const oclMat &src, cl_mem &dst, int vlen ,
     args.push_back( make_pair( sizeof(cl_mem) , (void *)&dst ));
     char build_options[50];
     sprintf(build_options, "-D DEPTH_%d -D REPEAT_S%d -D REPEAT_E%d", src.depth(), repeat_s, repeat_e);
-    size_t gt[3] = {groupnum * 256, 1, 1}, lt[3] = {256, 1, 1};
+    size_t gt[3] = {(size_t)groupnum * 256, 1, 1}, lt[3] = {256, 1, 1};
 
     // kernel use fixed grid size, replace lt on NULL is impossible without kernel changes
     openCLExecuteKernel(src.clCxt, &arithm_minMaxLoc, "arithm_op_minMaxLoc", gt, lt, args, -1, -1, build_options);
@@ -1147,7 +1147,7 @@ static void arithmetic_minMaxLoc_run(const oclMat &src, cl_mem &dst, int vlen ,
 static void arithmetic_minMaxLoc_mask_run(const oclMat &src, const oclMat &mask, cl_mem &dst, int vlen, int groupnum)
 {
     vector<pair<size_t , const void *> > args;
-    size_t gt[3] = {groupnum * 256, 1, 1}, lt[3] = {256, 1, 1};
+    size_t gt[3] = {(size_t)groupnum * 256, 1, 1}, lt[3] = {256, 1, 1};
     char build_options[50];
     if (src.oclchannels() == 1)
     {
@@ -1284,7 +1284,7 @@ static void arithmetic_countNonZero_run(const oclMat &src, cl_mem &dst, int grou
     args.push_back( make_pair( sizeof(cl_int) , (void *)&groupnum ));
     args.push_back( make_pair( sizeof(cl_mem) , (void *)&dst ));
 
-    size_t globalThreads[3] = { groupnum * 256, 1, 1 };
+    size_t globalThreads[3] = { (size_t)groupnum * 256, 1, 1 };
 
 #ifdef ANDROID
     openCLExecuteKernel(src.clCxt, &arithm_nonzero, "arithm_op_nonzero", globalThreads, NULL,
@@ -1409,7 +1409,7 @@ static void bitwise_run(const oclMat & src1, const oclMat & src2, const Scalar &
     args.push_back( make_pair( sizeof(cl_int), (void *)&dst.rows ));
     args.push_back( make_pair( sizeof(cl_int), (void *)&cols ));
 
-    size_t globalsize[3] = { dst.cols * ocn / kercn, dst.rows, 1 };
+    size_t globalsize[3] = { (size_t)dst.cols * ocn / kercn, (size_t)dst.rows, 1 };
     globalsize[0] = divUp(globalsize[0], 256) * 256;
     openCLExecuteKernel(src1.clCxt, &arithm_bitwise, "arithm_bitwise", globalsize, NULL,
                         args, -1, -1, buildOptions.c_str());
@@ -1543,7 +1543,7 @@ static void transpose_run(const oclMat &src, oclMat &dst, string kernelName, boo
                                       channelsString[src.channels()]);
 
     size_t localThreads[3]  = { TILE_DIM, BLOCK_ROWS, 1 };
-    size_t globalThreads[3] = { src.cols, inplace ? src.rows : divUp(src.rows, TILE_DIM) * BLOCK_ROWS, 1 };
+    size_t globalThreads[3] = { (size_t)src.cols, inplace ? (size_t)src.rows : divUp(src.rows, TILE_DIM) * BLOCK_ROWS, 1 };
 
     int srcstep1 = src.step / src.elemSize(), dststep1 = dst.step / dst.elemSize();
     int srcoffset1 = src.offset / src.elemSize(), dstoffset1 = dst.offset / dst.elemSize();
@@ -1610,7 +1610,7 @@ void cv::ocl::addWeighted(const oclMat &src1, double alpha, const oclMat &src2,
                                       typeMap[depth], hasDouble ? "double" : "float", typeMap[depth],
                                       depth >= CV_32F ? "" : "_sat_rte");
 
-    size_t globalThreads[3] = { cols1, dst.rows, 1};
+    size_t globalThreads[3] = { (size_t)cols1, (size_t)dst.rows, 1};
 
     float alpha_f = static_cast<float>(alpha),
             beta_f = static_cast<float>(beta),
@@ -1663,7 +1663,7 @@ static void arithmetic_pow_run(const oclMat &src, double p, oclMat &dst, string
     int depth = dst.depth();
 
     size_t localThreads[3]  = { 64, 4, 1 };
-    size_t globalThreads[3] = { dst.cols, dst.rows, 1 };
+    size_t globalThreads[3] = { (size_t)dst.cols, (size_t)dst.rows, 1 };
 
     const char * const typeStr = depth == CV_32F ? "float" : "double";
     const char * const channelMap[] = { "", "", "2", "4", "4" };
@@ -1721,7 +1721,7 @@ void cv::ocl::setIdentity(oclMat& src, const Scalar & scalar)
 
     int src_step1 = src.step / src.elemSize(), src_offset1 = src.offset / src.elemSize();
     size_t local_threads[] = { 16, 16, 1 };
-    size_t global_threads[] = { src.cols, src.rows, 1 };
+    size_t global_threads[] = { (size_t)src.cols, (size_t)src.rows, 1 };
 
     const char * const typeMap[] = { "uchar", "char", "ushort", "short", "int", "float", "double" };
     const char * const channelMap[] = { "", "", "2", "4", "4" };

modules/ocl/src/bgfg_mog.cpp

@@ -199,7 +199,7 @@ static void mog_withoutLearning(const oclMat& frame, int cn, oclMat& fgmask, ocl
     Context* clCxt = Context::getContext();
 
     size_t local_thread[] = {32, 8, 1};
-    size_t global_thread[] = {frame.cols, frame.rows, 1};
+    size_t global_thread[] = {(size_t)frame.cols, (size_t)frame.rows, 1};
 
     int frame_step = (int)(frame.step/frame.elemSize());
     int fgmask_step = (int)(fgmask.step/fgmask.elemSize());
@@ -261,7 +261,7 @@ static void mog_withLearning(const oclMat& frame, int cn, oclMat& fgmask_raw, oc
     Context* clCxt = Context::getContext();
 
     size_t local_thread[] = {32, 8, 1};
-    size_t global_thread[] = {frame.cols, frame.rows, 1};
+    size_t global_thread[] = {(size_t)frame.cols, (size_t)frame.rows, 1};
 
     oclMat fgmask(fgmask_raw.size(), CV_32SC1);
 
@@ -342,7 +342,7 @@ void cv::ocl::device::mog::getBackgroundImage_ocl(int cn, const oclMat& weight,
     Context* clCxt = Context::getContext();
 
     size_t local_thread[] = {32, 8, 1};
-    size_t global_thread[] = {dst.cols, dst.rows, 1};
+    size_t global_thread[] = {(size_t)dst.cols, (size_t)dst.rows, 1};
 
     int weight_step = (int)(weight.step/weight.elemSize());
     int mean_step = (int)(mean.step/mean.elemSize());
@@ -411,7 +411,7 @@ void cv::ocl::device::mog::mog2_ocl(const oclMat& frame, int cn, oclMat& fgmaskR
         detectShadows_flag = 1;
 
     size_t local_thread[] = {32, 8, 1};
-    size_t global_thread[] = {frame.cols, frame.rows, 1};
+    size_t global_thread[] = {(size_t)frame.cols, (size_t)frame.rows, 1};
 
     int frame_step = (int)(frame.step/frame.elemSize());
     int fgmask_step = (int)(fgmask.step/fgmask.elemSize());
@@ -481,7 +481,7 @@ void cv::ocl::device::mog::getBackgroundImage2_ocl(int cn, const oclMat& modesUs
     Context* clCxt = Context::getContext();
 
     size_t local_thread[] = {32, 8, 1};
-    size_t global_thread[] = {modesUsed.cols, modesUsed.rows, 1};
+    size_t global_thread[] = {(size_t)modesUsed.cols, (size_t)modesUsed.rows, 1};
 
     int weight_step = (int)(weight.step/weight.elemSize());
     int modesUsed_step = (int)(modesUsed.step/modesUsed.elemSize());

modules/ocl/src/blend.cpp

@@ -59,7 +59,7 @@ void cv::ocl::blendLinear(const oclMat &src1, const oclMat &src2, const oclMat &
 
     dst.create(src1.size(), src1.type());
 
-    size_t globalSize[] = { dst.cols, dst.rows, 1};
+    size_t globalSize[] = { (size_t)dst.cols, (size_t)dst.rows, 1};
     size_t localSize[] = { 16, 16, 1 };
 
     int depth = dst.depth(), ocn = dst.oclchannels();

modules/ocl/src/brute_force_matcher.cpp

@@ -71,7 +71,7 @@ void matchUnrolledCached(const oclMat &query, const oclMat &train, const oclMat
                          const oclMat &trainIdx, const oclMat &distance, int distType)
 {
     cv::ocl::Context *ctx = query.clCxt;
-    size_t globalSize[] = {(query.rows + BLOCK_SIZE - 1) / BLOCK_SIZE * BLOCK_SIZE, BLOCK_SIZE, 1};
+    size_t globalSize[] = {((size_t)query.rows + BLOCK_SIZE - 1) / BLOCK_SIZE * BLOCK_SIZE, BLOCK_SIZE, 1};
     size_t localSize[] = {BLOCK_SIZE, BLOCK_SIZE, 1};
     const size_t smemSize = (BLOCK_SIZE * (MAX_DESC_LEN >= 2 * BLOCK_SIZE ? MAX_DESC_LEN : 2 * BLOCK_SIZE) + BLOCK_SIZE * BLOCK_SIZE) * sizeof(int);
     int block_size = BLOCK_SIZE;
@@ -114,7 +114,7 @@ void match(const oclMat &query, const oclMat &train, const oclMat &/*mask*/,
            const oclMat &trainIdx, const oclMat &distance, int distType)
 {
     cv::ocl::Context *ctx = query.clCxt;
-    size_t globalSize[] = {(query.rows + BLOCK_SIZE - 1) / BLOCK_SIZE * BLOCK_SIZE, BLOCK_SIZE, 1};
+    size_t globalSize[] = {((size_t)query.rows + BLOCK_SIZE - 1) / BLOCK_SIZE * BLOCK_SIZE, BLOCK_SIZE, 1};
     size_t localSize[] = {BLOCK_SIZE, BLOCK_SIZE, 1};
     const size_t smemSize = (2 * BLOCK_SIZE * BLOCK_SIZE) * sizeof(int);
     int block_size = BLOCK_SIZE;
@@ -156,7 +156,7 @@ void matchUnrolledCached(const oclMat &query, const oclMat &train, float maxDist
                          const oclMat &trainIdx, const oclMat &distance, const oclMat &nMatches, int distType)
 {
     cv::ocl::Context *ctx = query.clCxt;
-    size_t globalSize[] = {(train.rows + BLOCK_SIZE - 1) / BLOCK_SIZE * BLOCK_SIZE, (query.rows + BLOCK_SIZE - 1) / BLOCK_SIZE * BLOCK_SIZE, 1};
+    size_t globalSize[] = {((size_t)train.rows + BLOCK_SIZE - 1) / BLOCK_SIZE * BLOCK_SIZE, ((size_t)query.rows + BLOCK_SIZE - 1) / BLOCK_SIZE * BLOCK_SIZE, 1};
     size_t localSize[] = {BLOCK_SIZE, BLOCK_SIZE, 1};
     const size_t smemSize = (2 * BLOCK_SIZE * BLOCK_SIZE) * sizeof(int);
     int block_size = BLOCK_SIZE;
@@ -198,7 +198,7 @@ void radius_match(const oclMat &query, const oclMat &train, float maxDistance, c
                   const oclMat &trainIdx, const oclMat &distance, const oclMat &nMatches, int distType)
 {
     cv::ocl::Context *ctx = query.clCxt;
-    size_t globalSize[] = {(train.rows + BLOCK_SIZE - 1) / BLOCK_SIZE * BLOCK_SIZE, (query.rows + BLOCK_SIZE - 1) / BLOCK_SIZE * BLOCK_SIZE, 1};
+    size_t globalSize[] = {((size_t)train.rows + BLOCK_SIZE - 1) / BLOCK_SIZE * BLOCK_SIZE, ((size_t)query.rows + BLOCK_SIZE - 1) / BLOCK_SIZE * BLOCK_SIZE, 1};
     size_t localSize[] = {BLOCK_SIZE, BLOCK_SIZE, 1};
     const size_t smemSize = (2 * BLOCK_SIZE * BLOCK_SIZE) * sizeof(int);
     int block_size = BLOCK_SIZE;
@@ -300,7 +300,7 @@ void knn_matchUnrolledCached(const oclMat &query, const oclMat &train, const ocl
                              const oclMat &trainIdx, const oclMat &distance, int distType)
 {
     cv::ocl::Context *ctx = query.clCxt;
-    size_t globalSize[] = {(query.rows + BLOCK_SIZE - 1) / BLOCK_SIZE * BLOCK_SIZE, BLOCK_SIZE, 1};
+    size_t globalSize[] = {((size_t)query.rows + BLOCK_SIZE - 1) / BLOCK_SIZE * BLOCK_SIZE, BLOCK_SIZE, 1};
     size_t localSize[] = {BLOCK_SIZE, BLOCK_SIZE, 1};
     const size_t smemSize = (BLOCK_SIZE * (MAX_DESC_LEN >= BLOCK_SIZE ? MAX_DESC_LEN : BLOCK_SIZE) + BLOCK_SIZE * BLOCK_SIZE) * sizeof(int);
     int block_size = BLOCK_SIZE;
@@ -337,7 +337,7 @@ void knn_match(const oclMat &query, const oclMat &train, const oclMat &/*mask*/,
                const oclMat &trainIdx, const oclMat &distance, int distType)
 {
     cv::ocl::Context *ctx = query.clCxt;
-    size_t globalSize[] = {(query.rows + BLOCK_SIZE - 1) / BLOCK_SIZE * BLOCK_SIZE, BLOCK_SIZE, 1};
+    size_t globalSize[] = {((size_t)query.rows + BLOCK_SIZE - 1) / BLOCK_SIZE * BLOCK_SIZE, BLOCK_SIZE, 1};
     size_t localSize[] = {BLOCK_SIZE, BLOCK_SIZE, 1};
     const size_t smemSize = (2 * BLOCK_SIZE * BLOCK_SIZE) * sizeof(int);
     int block_size = BLOCK_SIZE;
@@ -372,7 +372,7 @@ template < int BLOCK_SIZE, int MAX_DESC_LEN/*, typename Mask*/ >
 void calcDistanceUnrolled(const oclMat &query, const oclMat &train, const oclMat &/*mask*/, const oclMat &allDist, int distType)
 {
     cv::ocl::Context *ctx = query.clCxt;
-    size_t globalSize[] = {(query.rows + BLOCK_SIZE - 1) / BLOCK_SIZE * BLOCK_SIZE, BLOCK_SIZE, 1};
+    size_t globalSize[] = {((size_t)query.rows + BLOCK_SIZE - 1) / BLOCK_SIZE * BLOCK_SIZE, BLOCK_SIZE, 1};
     size_t localSize[] = {BLOCK_SIZE, BLOCK_SIZE, 1};
     const size_t smemSize = (2 * BLOCK_SIZE * BLOCK_SIZE) * sizeof(int);
     int block_size = BLOCK_SIZE;
@@ -409,7 +409,7 @@ template < int BLOCK_SIZE/*, typename Mask*/ >
 void calcDistance(const oclMat &query, const oclMat &train, const oclMat &/*mask*/, const oclMat &allDist, int distType)
 {
     cv::ocl::Context *ctx = query.clCxt;
-    size_t globalSize[] = {(query.rows + BLOCK_SIZE - 1) / BLOCK_SIZE * BLOCK_SIZE, BLOCK_SIZE, 1};
+    size_t globalSize[] = {((size_t)query.rows + BLOCK_SIZE - 1) / BLOCK_SIZE * BLOCK_SIZE, BLOCK_SIZE, 1};
     size_t localSize[] = {BLOCK_SIZE, BLOCK_SIZE, 1};
     const size_t smemSize = (2 * BLOCK_SIZE * BLOCK_SIZE) * sizeof(int);
     int block_size = BLOCK_SIZE;
@@ -481,7 +481,7 @@ template <int BLOCK_SIZE>
 void findKnnMatch(int k, const oclMat &trainIdx, const oclMat &distance, const oclMat &allDist, int /*distType*/)
 {
     cv::ocl::Context *ctx = trainIdx.clCxt;
-    size_t globalSize[] = {trainIdx.rows * BLOCK_SIZE, 1, 1};
+    size_t globalSize[] = {(size_t)trainIdx.rows * BLOCK_SIZE, 1, 1};
     size_t localSize[] = {BLOCK_SIZE, 1, 1};
     int block_size = BLOCK_SIZE;
     std::string kernelName = "BruteForceMatch_findBestMatch";
@@ -598,14 +598,14 @@ void cv::ocl::BruteForceMatcher_OCL_base::matchConvert(const Mat &trainIdx, cons
     const float *distance_ptr =  distance.ptr<float>();
     for (int queryIdx = 0; queryIdx < nQuery; ++queryIdx, ++trainIdx_ptr, ++distance_ptr)
     {
-        int trainIdx = *trainIdx_ptr;
+        int oneTrainIdx = *trainIdx_ptr;
 
-        if (trainIdx == -1)
+        if (oneTrainIdx == -1)
             continue;
 
-        float distance = *distance_ptr;
+        float oneDistance = *distance_ptr;
 
-        DMatch m(queryIdx, trainIdx, 0, distance);
+        DMatch m(queryIdx, oneTrainIdx, 0, oneDistance);
 
         matches.push_back(m);
     }
@@ -713,16 +713,16 @@ void cv::ocl::BruteForceMatcher_OCL_base::matchConvert(const Mat &trainIdx, cons
     const float *distance_ptr =  distance.ptr<float>();
     for (int queryIdx = 0; queryIdx < nQuery; ++queryIdx, ++trainIdx_ptr, ++imgIdx_ptr, ++distance_ptr)
     {
-        int trainIdx = *trainIdx_ptr;
+        int oneTrainIdx = *trainIdx_ptr;
 
-        if (trainIdx == -1)
+        if (oneTrainIdx == -1)
             continue;
 
-        int imgIdx = *imgIdx_ptr;
+        int oneImgIdx = *imgIdx_ptr;
 
-        float distance = *distance_ptr;
+        float oneDistance = *distance_ptr;
 
-        DMatch m(queryIdx, trainIdx, imgIdx, distance);
+        DMatch m(queryIdx, oneTrainIdx, oneImgIdx, oneDistance);
 
         matches.push_back(m);
     }
@@ -811,13 +811,13 @@ void cv::ocl::BruteForceMatcher_OCL_base::knnMatchConvert(const Mat &trainIdx, c
 
         for (int i = 0; i < k; ++i, ++trainIdx_ptr, ++distance_ptr)
         {
-            int trainIdx = *trainIdx_ptr;
+            int oneTrainIdx = *trainIdx_ptr;
 
-            if (trainIdx != -1)
+            if (oneTrainIdx != -1)
             {
-                float distance = *distance_ptr;
+                float oneDistance = *distance_ptr;
 
-                DMatch m(queryIdx, trainIdx, 0, distance);
+                DMatch m(queryIdx, oneTrainIdx, 0, oneDistance);
 
                 curMatches.push_back(m);
             }
@@ -901,15 +901,15 @@ void cv::ocl::BruteForceMatcher_OCL_base::knnMatch2Convert(const Mat &trainIdx,
 
         for (int i = 0; i < 2; ++i, ++trainIdx_ptr, ++imgIdx_ptr, ++distance_ptr)
         {
-            int trainIdx = *trainIdx_ptr;
+            int oneTrainIdx = *trainIdx_ptr;
 
-            if (trainIdx != -1)
+            if (oneTrainIdx != -1)
             {
-                int imgIdx = *imgIdx_ptr;
+                int oneImgIdx = *imgIdx_ptr;
 
-                float distance = *distance_ptr;
+                float oneDistance = *distance_ptr;
 
-                DMatch m(queryIdx, trainIdx, imgIdx, distance);
+                DMatch m(queryIdx, oneTrainIdx, oneImgIdx, oneDistance);
 
                 curMatches.push_back(m);
             }
@@ -1051,25 +1051,25 @@ void cv::ocl::BruteForceMatcher_OCL_base::radiusMatchConvert(const Mat &trainIdx
         const int *trainIdx_ptr = trainIdx.ptr<int>(queryIdx);
         const float *distance_ptr = distance.ptr<float>(queryIdx);
 
-        const int nMatches = std::min(nMatches_ptr[queryIdx], trainIdx.cols);
+        const int matchesNum = std::min(nMatches_ptr[queryIdx], trainIdx.cols);
 
-        if (nMatches == 0)
+        if (matchesNum == 0)
         {
             if (!compactResult)
                 matches.push_back(vector<DMatch>());
             continue;
         }
 
-        matches.push_back(vector<DMatch>(nMatches));
+        matches.push_back(vector<DMatch>(matchesNum));
         vector<DMatch> &curMatches = matches.back();
 
-        for (int i = 0; i < nMatches; ++i, ++trainIdx_ptr, ++distance_ptr)
+        for (int i = 0; i < matchesNum; ++i, ++trainIdx_ptr, ++distance_ptr)
         {
-            int trainIdx = *trainIdx_ptr;
+            int oneTrainIdx = *trainIdx_ptr;
 
-            float distance = *distance_ptr;
+            float oneDistance = *distance_ptr;
 
-            DMatch m(queryIdx, trainIdx, 0, distance);
+            DMatch m(queryIdx, oneTrainIdx, 0, oneDistance);
 
             curMatches[i] = m;
         }
@@ -1177,9 +1177,9 @@ void cv::ocl::BruteForceMatcher_OCL_base::radiusMatchConvert(const Mat &trainIdx
         const int *imgIdx_ptr = imgIdx.ptr<int>(queryIdx);
         const float *distance_ptr = distance.ptr<float>(queryIdx);
 
-        const int nMatches = std::min(nMatches_ptr[queryIdx], trainIdx.cols);
+        const int matchesNum = std::min(nMatches_ptr[queryIdx], trainIdx.cols);
 
-        if (nMatches == 0)
+        if (matchesNum == 0)
         {
             if (!compactResult)
                 matches.push_back(vector<DMatch>());
@@ -1188,15 +1188,15 @@ void cv::ocl::BruteForceMatcher_OCL_base::radiusMatchConvert(const Mat &trainIdx
 
         matches.push_back(vector<DMatch>());
         vector<DMatch> &curMatches = matches.back();
-        curMatches.reserve(nMatches);
+        curMatches.reserve(matchesNum);
 
-        for (int i = 0; i < nMatches; ++i, ++trainIdx_ptr, ++imgIdx_ptr, ++distance_ptr)
+        for (int i = 0; i < matchesNum; ++i, ++trainIdx_ptr, ++imgIdx_ptr, ++distance_ptr)
         {
-            int trainIdx = *trainIdx_ptr;
-            int imgIdx = *imgIdx_ptr;
-            float distance = *distance_ptr;
+            int oneTrainIdx = *trainIdx_ptr;
+            int oneImgIdx = *imgIdx_ptr;
+            float oneDistance = *distance_ptr;
 
-            DMatch m(queryIdx, trainIdx, imgIdx, distance);
+            DMatch m(queryIdx, oneTrainIdx, oneImgIdx, oneDistance);
 
             curMatches.push_back(m);
         }

modules/ocl/src/build_warps.cpp

@@ -91,7 +91,7 @@ void cv::ocl::buildWarpPlaneMaps(Size /*src_size*/, Rect dst_roi, const Mat &K,
     args.push_back( make_pair( sizeof(cl_int), (void *)&ymap_offset));
     args.push_back( make_pair( sizeof(cl_float), (void *)&scale));
 
-    size_t globalThreads[3] = { xmap.cols, xmap.rows, 1 };
+    size_t globalThreads[3] = { (size_t)xmap.cols, (size_t)xmap.rows, 1 };
 #ifdef ANDROID
     size_t localThreads[3]  = {32, 4, 1};
 #else
@@ -137,7 +137,7 @@ void cv::ocl::buildWarpCylindricalMaps(Size /*src_size*/, Rect dst_roi, const Ma
     args.push_back( make_pair( sizeof(cl_int), (void *)&ymap_offset));
     args.push_back( make_pair( sizeof(cl_float), (void *)&scale));
 
-    size_t globalThreads[3] = { xmap.cols, xmap.rows, 1 };
+    size_t globalThreads[3] = { (size_t)xmap.cols, (size_t)xmap.rows, 1 };
 #ifdef ANDROID
     size_t localThreads[3]  = {32, 1, 1};
 #else
@@ -183,7 +183,7 @@ void cv::ocl::buildWarpSphericalMaps(Size /*src_size*/, Rect dst_roi, const Mat
     args.push_back( make_pair( sizeof(cl_int), (void *)&ymap_offset));
     args.push_back( make_pair( sizeof(cl_float), (void *)&scale));
 
-    size_t globalThreads[3] = { xmap.cols, xmap.rows, 1 };
+    size_t globalThreads[3] = { (size_t)xmap.cols, (size_t)xmap.rows, 1 };
 #ifdef ANDROID
     size_t localThreads[3]  = {32, 4, 1};
 #else
@@ -231,7 +231,7 @@ void cv::ocl::buildWarpAffineMaps(const Mat &M, bool inverse, Size dsize, oclMat
     args.push_back( make_pair( sizeof(cl_int), (void *)&xmap_offset));
     args.push_back( make_pair( sizeof(cl_int), (void *)&ymap_offset));
 
-    size_t globalThreads[3] = { xmap.cols, xmap.rows, 1 };
+    size_t globalThreads[3] = { (size_t)xmap.cols, (size_t)xmap.rows, 1 };
 #ifdef ANDROID
     size_t localThreads[3]  = {32, 4, 1};
 #else
@@ -279,7 +279,7 @@ void cv::ocl::buildWarpPerspectiveMaps(const Mat &M, bool inverse, Size dsize, o
     args.push_back( make_pair( sizeof(cl_int), (void *)&xmap_offset));
     args.push_back( make_pair( sizeof(cl_int), (void *)&ymap_offset));
 
-    size_t globalThreads[3] = { xmap.cols, xmap.rows, 1 };
+    size_t globalThreads[3] = { (size_t)xmap.cols, (size_t)xmap.rows, 1 };
 
     openCLExecuteKernel(Context::getContext(), &build_warps, "buildWarpPerspectiveMaps", globalThreads, NULL, args, -1, -1);
 }