Fixed out of bound reading in DIS optical flow evaluation implementation

Fix OpenVINO 2019R1 compilation
Fix DetectionModel in case of out of [0, 1] range detection prediction
2026-07-25 21:33:04 +04:00 · 2019-09-17 18:01:46 +03:00 · 2019-09-16 15:12:19 +03:00 · 2019-09-16 15:07:10 +03:00 · 2019-09-16 15:06:29 +03:00 · 2019-09-16 15:02:11 +03:00
454 changed files with 8792 additions and 2124 deletions
@@ -1127,6 +1127,7 @@ inline int TEGRA_FILTERINIT(cvhalFilter2D **context, uchar *kernel_data, size_t
        {
            std::memcpy(ctx->kernel_data + kernel_width * j, kernel_data + kernel_step * j, kernel_width * sizeof(int16_t));
        }
+        break;
    default:
        delete[] ctx->kernel_data;
        delete ctx;
@@ -1243,6 +1244,7 @@ inline int TEGRA_SEPFILTERINIT(cvhalFilter2D **context, int src_type, int dst_ty
        ctx->kernely_data[0]=((int16_t*)kernely_data)[0];
        ctx->kernely_data[1]=((int16_t*)kernely_data)[1];
        ctx->kernely_data[2]=((int16_t*)kernely_data)[2];
+        break;
    default:
        delete ctx;
        return CV_HAL_ERROR_NOT_IMPLEMENTED;
@@ -1,9 +1,9 @@
-# Binaries branch name: ffmpeg/master_20190616
-# Binaries were created for OpenCV: 7b099e0fe2d929e55d6705b6ad510c2c9081606b
-ocv_update(FFMPEG_BINARIES_COMMIT "998718df34e35ea0fa429724875fc3900faa266f")
-ocv_update(FFMPEG_FILE_HASH_BIN32 "f03b47fb809edd2e06b6db135cbd3e49")
-ocv_update(FFMPEG_FILE_HASH_BIN64 "5c4571459570c288d874704244c428b5")
-ocv_update(FFMPEG_FILE_HASH_CMAKE "f710891525a04586d565d0e700e62a9c")
+# Binaries branch name: ffmpeg/master_20190910
+# Binaries were created for OpenCV: bea2c7545243ba2dabce6badc94dd55894a8e5ca
+ocv_update(FFMPEG_BINARIES_COMMIT "197f87f7e811a9ded35d989b37e50501ff6afaa4")
+ocv_update(FFMPEG_FILE_HASH_BIN32 "ab380c9dde361f30dd3604f88eef6c48")
+ocv_update(FFMPEG_FILE_HASH_BIN64 "90260a4da737fc045c9279567313ee9d")
+ocv_update(FFMPEG_FILE_HASH_CMAKE "ad57c038ba34b868277ccbe6dd0f9602")

 function(download_win_ffmpeg script_var)
  set(${script_var} "" PARENT_SCOPE)
@@ -17,6 +17,12 @@
 #if !defined(JAS_WIN_MSVC_BUILD)
 /* A configure-based build is being used. */

+#include <stdio.h>
+
+// uClibc-ng workaround: https://github.com/opencv/opencv/pull/15279
+#ifndef L_tmpnam
+#define L_tmpnam 20
+#endif


 /* Extra debugging support */
@@ -15,13 +15,6 @@ else()
  ocv_list_filterout(lib_srcs jmemnobs.c)
 endif()

-if(WINRT)
-    add_definitions(-DNO_GETENV)
-    get_directory_property( DirDefs COMPILE_DEFINITIONS )
-    message(STATUS "Adding NO_GETENV to compiler definitions for WINRT:")
-    message(STATUS "   COMPILE_DEFINITIONS = ${DirDefs}")
-endif()
-
 # ----------------------------------------------------------------------------------
 #         Define the library target:
 # ----------------------------------------------------------------------------------
@@ -47,7 +47,9 @@ if(";${CPU_BASELINE_FINAL};" MATCHES "SSE2"
 endif()

 if(PPC64LE OR PPC64)
-  if(ENABLE_VSX AND NOT PPC64)
+  # VSX3 features are backwards compatible
+  if(";${CPU_BASELINE_FINAL};" MATCHES "VSX.*"
+      AND NOT PPC64)
    list(APPEND lib_srcs powerpc/powerpc_init.c powerpc/filter_vsx_intrinsics.c)
    add_definitions(-DPNG_POWERPC_VSX_OPT=2)
  else()
@@ -29,40 +29,19 @@ else()
  cmake_minimum_required(VERSION "${MIN_VER_CMAKE}" FATAL_ERROR)
 endif()

-option(ENABLE_PIC "Generate position independent code (necessary for shared libraries)" TRUE)
-set(CMAKE_POSITION_INDEPENDENT_CODE ${ENABLE_PIC})
-
-set(OPENCV_MATHJAX_RELPATH "https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.0" CACHE STRING "URI to a MathJax installation")
-
-# Following block can break build in case of cross-compiling
-# but CMAKE_CROSSCOMPILING variable will be set only on project(OpenCV) command
-# so we will try to detect cross-compiling by the presence of CMAKE_TOOLCHAIN_FILE
-if(NOT DEFINED CMAKE_INSTALL_PREFIX)
-  if(NOT CMAKE_TOOLCHAIN_FILE)
-    # it _must_ go before project(OpenCV) in order to work
-    if(WIN32)
-      set(CMAKE_INSTALL_PREFIX "${CMAKE_BINARY_DIR}/install" CACHE PATH "Installation Directory")
-    else()
-      set(CMAKE_INSTALL_PREFIX "/usr/local" CACHE PATH "Installation Directory")
-    endif()
-  else()
-    #Android: set output folder to ${CMAKE_BINARY_DIR}
-    set(LIBRARY_OUTPUT_PATH_ROOT ${CMAKE_BINARY_DIR} CACHE PATH "root for library output, set this to change where android libs are compiled to" )
-    # any cross-compiling
-    set(CMAKE_INSTALL_PREFIX "${CMAKE_BINARY_DIR}/install" CACHE PATH "Installation Directory")
-  endif()
-endif()
-
+#
+# Configure CMake policies
+#
 if(POLICY CMP0026)
  cmake_policy(SET CMP0026 NEW)
 endif()

 if(POLICY CMP0042)
-  cmake_policy(SET CMP0042 NEW)
+  cmake_policy(SET CMP0042 NEW)  # CMake 3.0+ (2.8.12): MacOS "@rpath" in target's install name
 endif()

 if(POLICY CMP0046)
-  cmake_policy(SET CMP0046 NEW)
+  cmake_policy(SET CMP0046 NEW)  # warn about non-existed dependencies
 endif()

 if(POLICY CMP0051)
@@ -74,17 +53,25 @@ if(POLICY CMP0054)  # CMake 3.1: Only interpret if() arguments as variables or k
 endif()

 if(POLICY CMP0056)
-  cmake_policy(SET CMP0056 NEW)
+  cmake_policy(SET CMP0056 NEW)  # try_compile(): link flags
 endif()

 if(POLICY CMP0067)
-  cmake_policy(SET CMP0067 NEW)
+  cmake_policy(SET CMP0067 NEW)  # CMake 3.8: try_compile(): honor language standard variables (like C++11)
 endif()

 if(POLICY CMP0068)
  cmake_policy(SET CMP0068 NEW)  # CMake 3.9+: `RPATH` settings on macOS do not affect `install_name`.
 endif()

+if(POLICY CMP0075)
+  cmake_policy(SET CMP0075 NEW)  # CMake 3.12+: Include file check macros honor `CMAKE_REQUIRED_LIBRARIES`
+endif()
+
+
+#
+# Configure OpenCV CMake hooks
+#
 include(cmake/OpenCVUtils.cmake)
 ocv_cmake_reset_hooks()
 ocv_check_environment_variables(OPENCV_CMAKE_HOOKS_DIR)
@@ -97,49 +84,46 @@ endif()

 ocv_cmake_hook(CMAKE_INIT)

-# must go before the project command
+# must go before the project()/enable_language() commands
 ocv_update(CMAKE_CONFIGURATION_TYPES "Debug;Release" CACHE STRING "Configs" FORCE)
 if(DEFINED CMAKE_BUILD_TYPE)
-  set_property( CACHE CMAKE_BUILD_TYPE PROPERTY STRINGS ${CMAKE_CONFIGURATION_TYPES} )
+  set_property(CACHE CMAKE_BUILD_TYPE PROPERTY STRINGS "${CMAKE_CONFIGURATION_TYPES}")
+endif()
+
+option(ENABLE_PIC "Generate position independent code (necessary for shared libraries)" TRUE)
+set(CMAKE_POSITION_INDEPENDENT_CODE ${ENABLE_PIC})
+
+ocv_cmake_hook(PRE_CMAKE_BOOTSTRAP)
+
+# Bootstap CMake system: setup CMAKE_SYSTEM_NAME and other vars
+enable_language(CXX C)
+
+ocv_cmake_hook(POST_CMAKE_BOOTSTRAP)
+
+if(NOT OPENCV_SKIP_CMAKE_SYSTEM_FILE)
+  include("cmake/platforms/OpenCV-${CMAKE_SYSTEM_NAME}.cmake" OPTIONAL RESULT_VARIABLE "OPENCV_CMAKE_SYSTEM_FILE")
+  if(NOT OPENCV_CMAKE_SYSTEM_FILE)
+    message(STATUS "OpenCV: system-specific configuration file is not found: '${CMAKE_SYSTEM_NAME}'")
+  endif()
+endif()
+
+if(CMAKE_INSTALL_PREFIX_INITIALIZED_TO_DEFAULT)  # https://cmake.org/cmake/help/latest/variable/CMAKE_INSTALL_PREFIX_INITIALIZED_TO_DEFAULT.html
+  if(NOT CMAKE_TOOLCHAIN_FILE)
+    if(WIN32)
+      set(CMAKE_INSTALL_PREFIX "${CMAKE_BINARY_DIR}/install" CACHE PATH "Installation Directory" FORCE)
+    else()
+      set(CMAKE_INSTALL_PREFIX "/usr/local" CACHE PATH "Installation Directory" FORCE)
+    endif()
+  else()
+    # any cross-compiling
+    set(CMAKE_INSTALL_PREFIX "${CMAKE_BINARY_DIR}/install" CACHE PATH "Installation Directory" FORCE)
+  endif()
 endif()

 enable_testing()

 project(OpenCV CXX C)

-if(CMAKE_SYSTEM_NAME MATCHES WindowsPhone OR CMAKE_SYSTEM_NAME MATCHES WindowsStore)
-  set(WINRT TRUE)
-endif()
-
-if(WINRT OR WINCE)
-  add_definitions(-DNO_GETENV)
-endif()
-
-if(WINRT)
-  add_definitions(-DWINRT)
-
-  # Making definitions available to other configurations and
-  # to filter dependency restrictions at compile time.
-  if(CMAKE_SYSTEM_NAME MATCHES WindowsPhone)
-    set(WINRT_PHONE TRUE)
-    add_definitions(-DWINRT_PHONE)
-  elseif(CMAKE_SYSTEM_NAME MATCHES WindowsStore)
-    set(WINRT_STORE TRUE)
-    add_definitions(-DWINRT_STORE)
-  endif()
-
-  if(CMAKE_SYSTEM_VERSION MATCHES 10)
-    set(WINRT_10 TRUE)
-    add_definitions(-DWINRT_10)
-  elseif(CMAKE_SYSTEM_VERSION MATCHES 8.1)
-    set(WINRT_8_1 TRUE)
-    add_definitions(-DWINRT_8_1)
-  elseif(CMAKE_SYSTEM_VERSION MATCHES 8.0)
-    set(WINRT_8_0 TRUE)
-    add_definitions(-DWINRT_8_0)
-  endif()
-endif()
-
 if(MSVC)
  set(CMAKE_USE_RELATIVE_PATHS ON CACHE INTERNAL "" FORCE)
 endif()
@@ -465,7 +449,7 @@ OCV_OPTION(INSTALL_TESTS            "Install accuracy and performance test binar
 # OpenCV build options
 # ===================================================
 OCV_OPTION(ENABLE_CCACHE              "Use ccache"                                               (UNIX AND NOT IOS AND (CMAKE_GENERATOR MATCHES "Makefile" OR CMAKE_GENERATOR MATCHES "Ninja")) )
-OCV_OPTION(ENABLE_PRECOMPILED_HEADERS "Use precompiled headers"                                  ON IF (MSVC OR (NOT IOS AND NOT CMAKE_CROSSCOMPILING) ) )
+OCV_OPTION(ENABLE_PRECOMPILED_HEADERS "Use precompiled headers"                                  MSVC IF (MSVC OR (NOT IOS AND NOT CMAKE_CROSSCOMPILING) ) )
 OCV_OPTION(ENABLE_SOLUTION_FOLDERS    "Solution folder in Visual Studio or in other IDEs"        (MSVC_IDE OR CMAKE_GENERATOR MATCHES Xcode) )
 OCV_OPTION(ENABLE_PROFILING           "Enable profiling in the GCC compiler (Add flags: -g -pg)" OFF  IF CV_GCC )
 OCV_OPTION(ENABLE_COVERAGE            "Enable coverage collection with  GCov"                    OFF  IF CV_GCC )
@@ -501,6 +485,7 @@ if(ENABLE_IMPL_COLLECTION)
  add_definitions(-DCV_COLLECT_IMPL_DATA)
 endif()

+set(OPENCV_MATHJAX_RELPATH "https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.0" CACHE STRING "URI to a MathJax installation")

 # ----------------------------------------------------------------------------
 #  Get actual OpenCV version number from sources
@@ -513,9 +498,21 @@ ocv_cmake_hook(POST_OPTIONS)
 #  Build & install layouts
 # ----------------------------------------------------------------------------

+if(OPENCV_TEST_DATA_PATH)
+  get_filename_component(OPENCV_TEST_DATA_PATH ${OPENCV_TEST_DATA_PATH} ABSOLUTE)
+endif()
+
 # Save libs and executables in the same place
 set(EXECUTABLE_OUTPUT_PATH "${CMAKE_BINARY_DIR}/bin" CACHE PATH "Output directory for applications")

+if(ANDROID)
+  set(LIBRARY_OUTPUT_PATH                "${OpenCV_BINARY_DIR}/lib/${ANDROID_NDK_ABI_NAME}")
+  ocv_update(3P_LIBRARY_OUTPUT_PATH      "${OpenCV_BINARY_DIR}/3rdparty/lib/${ANDROID_NDK_ABI_NAME}")
+else()
+  set(LIBRARY_OUTPUT_PATH                "${OpenCV_BINARY_DIR}/lib")
+  ocv_update(3P_LIBRARY_OUTPUT_PATH      "${OpenCV_BINARY_DIR}/3rdparty/lib")
+endif()
+
 if(ANDROID)
  if(ANDROID_ABI MATCHES "NEON")
    set(ENABLE_NEON ON)
@@ -525,134 +522,14 @@ if(ANDROID)
  endif()
 endif()

-if(ANDROID OR WIN32)
-  ocv_update(OPENCV_DOC_INSTALL_PATH doc)
-endif()
-
-if(WIN32 AND CMAKE_HOST_SYSTEM_NAME MATCHES Windows)
-  if(DEFINED OpenCV_RUNTIME AND DEFINED OpenCV_ARCH)
-    ocv_update(OpenCV_INSTALL_BINARIES_PREFIX "${OpenCV_ARCH}/${OpenCV_RUNTIME}/")
-  else()
-    message(STATUS "Can't detect runtime and/or arch")
-    ocv_update(OpenCV_INSTALL_BINARIES_PREFIX "")
-  endif()
-elseif(ANDROID)
-  ocv_update(OpenCV_INSTALL_BINARIES_PREFIX "sdk/native/")
-else()
-  ocv_update(OpenCV_INSTALL_BINARIES_PREFIX "")
-endif()
-
-if(ANDROID)
-  ocv_update(OPENCV_SAMPLES_BIN_INSTALL_PATH "${OpenCV_INSTALL_BINARIES_PREFIX}samples/${ANDROID_NDK_ABI_NAME}")
-else()
-  ocv_update(OPENCV_SAMPLES_BIN_INSTALL_PATH "${OpenCV_INSTALL_BINARIES_PREFIX}samples")
-endif()
-
-if(ANDROID)
-  ocv_update(OPENCV_BIN_INSTALL_PATH "${OpenCV_INSTALL_BINARIES_PREFIX}bin/${ANDROID_NDK_ABI_NAME}")
-else()
-  ocv_update(OPENCV_BIN_INSTALL_PATH "${OpenCV_INSTALL_BINARIES_PREFIX}bin")
-endif()
-
-if(NOT OPENCV_TEST_INSTALL_PATH)
-  ocv_update(OPENCV_TEST_INSTALL_PATH "${OPENCV_BIN_INSTALL_PATH}")
-endif()
-
-if (OPENCV_TEST_DATA_PATH)
-  get_filename_component(OPENCV_TEST_DATA_PATH ${OPENCV_TEST_DATA_PATH} ABSOLUTE)
-endif()
-
-if(ANDROID)
-  ocv_update(OPENCV_TEST_DATA_INSTALL_PATH "sdk/etc/testdata")
-elseif(WIN32)
-  ocv_update(OPENCV_TEST_DATA_INSTALL_PATH "testdata")
-endif()
-
-if(ANDROID)
-  set(LIBRARY_OUTPUT_PATH                "${OpenCV_BINARY_DIR}/lib/${ANDROID_NDK_ABI_NAME}")
-  ocv_update(3P_LIBRARY_OUTPUT_PATH      "${OpenCV_BINARY_DIR}/3rdparty/lib/${ANDROID_NDK_ABI_NAME}")
-  ocv_update(OPENCV_LIB_INSTALL_PATH     sdk/native/libs/${ANDROID_NDK_ABI_NAME})
-  ocv_update(OPENCV_LIB_ARCHIVE_INSTALL_PATH sdk/native/staticlibs/${ANDROID_NDK_ABI_NAME})
-  ocv_update(OPENCV_3P_LIB_INSTALL_PATH  sdk/native/3rdparty/libs/${ANDROID_NDK_ABI_NAME})
-  ocv_update(OPENCV_CONFIG_INSTALL_PATH  sdk/native/jni)
-  ocv_update(OPENCV_INCLUDE_INSTALL_PATH sdk/native/jni/include)
-  ocv_update(OPENCV_SAMPLES_SRC_INSTALL_PATH samples/native)
-  ocv_update(OPENCV_OTHER_INSTALL_PATH   sdk/etc)
-  ocv_update(OPENCV_LICENSES_INSTALL_PATH "${OPENCV_OTHER_INSTALL_PATH}/licenses")
-else()
-  set(LIBRARY_OUTPUT_PATH                "${OpenCV_BINARY_DIR}/lib")
-  ocv_update(3P_LIBRARY_OUTPUT_PATH      "${OpenCV_BINARY_DIR}/3rdparty/lib${LIB_SUFFIX}")
-
-  if(WIN32 AND CMAKE_HOST_SYSTEM_NAME MATCHES Windows)
-    if(OpenCV_STATIC)
-      ocv_update(OPENCV_LIB_INSTALL_PATH   "${OpenCV_INSTALL_BINARIES_PREFIX}staticlib${LIB_SUFFIX}")
-    else()
-      ocv_update(OPENCV_LIB_INSTALL_PATH   "${OpenCV_INSTALL_BINARIES_PREFIX}lib${LIB_SUFFIX}")
-    endif()
-    ocv_update(OPENCV_3P_LIB_INSTALL_PATH  "${OpenCV_INSTALL_BINARIES_PREFIX}staticlib${LIB_SUFFIX}")
-    ocv_update(OPENCV_SAMPLES_SRC_INSTALL_PATH    samples)
-    ocv_update(OPENCV_JAR_INSTALL_PATH java)
-    ocv_update(OPENCV_OTHER_INSTALL_PATH   etc)
-    ocv_update(OPENCV_CONFIG_INSTALL_PATH  ".")
-    ocv_update(OPENCV_INCLUDE_INSTALL_PATH "include")
-    ocv_update(OPENCV_LICENSES_INSTALL_PATH "${OPENCV_OTHER_INSTALL_PATH}/licenses")
-  else()
-    # Note: layout differs from OpenCV 3.4
-    include(GNUInstallDirs)
-    ocv_update(OPENCV_INCLUDE_INSTALL_PATH       "${CMAKE_INSTALL_INCLUDEDIR}/opencv4")
-    ocv_update(OPENCV_LIB_INSTALL_PATH           "${CMAKE_INSTALL_LIBDIR}")
-    ocv_update(OPENCV_CONFIG_INSTALL_PATH        "${OPENCV_LIB_INSTALL_PATH}/cmake/opencv4")
-    ocv_update(OPENCV_3P_LIB_INSTALL_PATH        "${OPENCV_LIB_INSTALL_PATH}/opencv4/3rdparty")
-    ocv_update(OPENCV_SAMPLES_SRC_INSTALL_PATH   "${CMAKE_INSTALL_DATAROOTDIR}/opencv4/samples")
-    ocv_update(OPENCV_DOC_INSTALL_PATH           "${CMAKE_INSTALL_DATAROOTDIR}/doc/opencv4")
-    ocv_update(OPENCV_JAR_INSTALL_PATH           "${CMAKE_INSTALL_DATAROOTDIR}/java/opencv4")
-    ocv_update(OPENCV_TEST_DATA_INSTALL_PATH     "${CMAKE_INSTALL_DATAROOTDIR}/opencv4/testdata")
-    ocv_update(OPENCV_OTHER_INSTALL_PATH         "${CMAKE_INSTALL_DATAROOTDIR}/opencv4")
-    ocv_update(OPENCV_LICENSES_INSTALL_PATH      "${CMAKE_INSTALL_DATAROOTDIR}/licenses/opencv4")
-  endif()
-  #ocv_update(OPENCV_PYTHON_INSTALL_PATH  "python")  # no default value, see https://github.com/opencv/opencv/issues/13202
-endif()
-
-ocv_update(CMAKE_INSTALL_RPATH "${CMAKE_INSTALL_PREFIX}/${OPENCV_LIB_INSTALL_PATH}")
-set(CMAKE_INSTALL_RPATH_USE_LINK_PATH TRUE)
-
-if(INSTALL_TO_MANGLED_PATHS)
-  foreach(v
-      OPENCV_INCLUDE_INSTALL_PATH
-      # file names include version (.so/.dll): OPENCV_LIB_INSTALL_PATH
-      OPENCV_CONFIG_INSTALL_PATH
-      OPENCV_3P_LIB_INSTALL_PATH
-      OPENCV_SAMPLES_SRC_INSTALL_PATH
-      OPENCV_DOC_INSTALL_PATH
-      # JAR file name includes version: OPENCV_JAR_INSTALL_PATH
-      OPENCV_TEST_DATA_INSTALL_PATH
-      OPENCV_OTHER_INSTALL_PATH
-    )
-    string(REGEX REPLACE "opencv[0-9]*" "opencv-${OPENCV_VERSION}" ${v} "${${v}}")
-  endforeach()
-endif()
-
-if(ANDROID)
-  ocv_update(OPENCV_JNI_INSTALL_PATH "${OPENCV_LIB_INSTALL_PATH}")
-elseif(INSTALL_CREATE_DISTRIB)
-  ocv_update(OPENCV_JNI_INSTALL_PATH "${OPENCV_JAR_INSTALL_PATH}/${OpenCV_ARCH}")
-else()
-  ocv_update(OPENCV_JNI_INSTALL_PATH "${OPENCV_JAR_INSTALL_PATH}")
-endif()
-ocv_update(OPENCV_JNI_BIN_INSTALL_PATH "${OPENCV_JNI_INSTALL_PATH}")
-
-if(NOT OPENCV_LIB_ARCHIVE_INSTALL_PATH)
-  set(OPENCV_LIB_ARCHIVE_INSTALL_PATH ${OPENCV_LIB_INSTALL_PATH})
-endif()
-
 if(WIN32)
  # Postfix of DLLs:
-  set(OPENCV_DLLVERSION "${OPENCV_VERSION_MAJOR}${OPENCV_VERSION_MINOR}${OPENCV_VERSION_PATCH}")
-  set(OPENCV_DEBUG_POSTFIX d)
+  ocv_update(OPENCV_DLLVERSION "${OPENCV_VERSION_MAJOR}${OPENCV_VERSION_MINOR}${OPENCV_VERSION_PATCH}")
+  ocv_update(OPENCV_DEBUG_POSTFIX d)
 else()
  # Postfix of so's:
-  set(OPENCV_DLLVERSION "")
-  set(OPENCV_DEBUG_POSTFIX "")
+  ocv_update(OPENCV_DLLVERSION "")
+  ocv_update(OPENCV_DEBUG_POSTFIX "")
 endif()

 if(DEFINED CMAKE_DEBUG_POSTFIX)
@@ -663,6 +540,8 @@ if((INSTALL_CREATE_DISTRIB AND BUILD_SHARED_LIBS AND NOT DEFINED BUILD_opencv_wo
  set(BUILD_opencv_world ON CACHE INTERNAL "")
 endif()

+include(cmake/OpenCVInstallLayout.cmake)
+
 # ----------------------------------------------------------------------------
 #  Path for build/platform -specific headers
 # ----------------------------------------------------------------------------
@@ -1521,19 +1400,22 @@ endif()

 if(WITH_INF_ENGINE OR INF_ENGINE_TARGET)
  if(INF_ENGINE_TARGET)
+    list(GET INF_ENGINE_TARGET 0 ie_target)
    set(__msg "YES (${INF_ENGINE_RELEASE} / ${INF_ENGINE_VERSION})")
-    get_target_property(_lib ${INF_ENGINE_TARGET} IMPORTED_LOCATION)
-    get_target_property(_lib_imp_rel ${INF_ENGINE_TARGET} IMPORTED_IMPLIB_RELEASE)
-    get_target_property(_lib_imp_dbg ${INF_ENGINE_TARGET} IMPORTED_IMPLIB_DEBUG)
-    get_target_property(_lib_rel ${INF_ENGINE_TARGET} IMPORTED_LOCATION_RELEASE)
-    get_target_property(_lib_dbg ${INF_ENGINE_TARGET} IMPORTED_LOCATION_DEBUG)
+    get_target_property(_lib ${ie_target} IMPORTED_LOCATION)
+    get_target_property(_lib_imp_rel ${ie_target} IMPORTED_IMPLIB_RELEASE)
+    get_target_property(_lib_imp_dbg ${ie_target} IMPORTED_IMPLIB_DEBUG)
+    get_target_property(_lib_rel ${ie_target} IMPORTED_LOCATION_RELEASE)
+    get_target_property(_lib_dbg ${ie_target} IMPORTED_LOCATION_DEBUG)
    ocv_build_features_string(_lib
      IF _lib THEN "${_lib}"
      IF _lib_imp_rel AND _lib_imp_dbg THEN "${_lib_imp_rel} / ${_lib_imp_dbg}"
      IF _lib_rel AND _lib_dbg THEN "${_lib_rel} / ${_lib_dbg}"
+      IF _lib_rel  THEN "${_lib_rel}"
+      IF _lib_dbg  THEN "${_lib_dbg}"
      ELSE "unknown"
    )
-    get_target_property(_inc ${INF_ENGINE_TARGET} INTERFACE_INCLUDE_DIRECTORIES)
+    get_target_property(_inc ${ie_target} INTERFACE_INCLUDE_DIRECTORIES)
    status("    Inference Engine:" "${__msg}")
    status("                libs:" "${_lib}")
    status("            includes:" "${_inc}")
@@ -895,7 +895,7 @@ void icvGetNextFromBackgroundData( CvBackgroundData* data,
 * #pragma omp parallel
 * {
 *     ...
- *     icvGetBackgourndImage( cvbgdata, cvbgreader, img );
+ *     icvGetBackgroundImage( cvbgdata, cvbgreader, img );
 *     ...
 * }
 * ...
@@ -990,7 +990,7 @@ static int icvInitBackgroundReaders( const char* filename, Size winsize )
 /*
 * icvDestroyBackgroundReaders
 *
- * Finish backgournd reading process
+ * Finish background reading process
 */
 static
 void icvDestroyBackgroundReaders()
@@ -136,7 +136,7 @@ macro(cuda_execute_process status command)
    # copy and paste a runnable command line.
    set(cuda_execute_process_string)
    foreach(arg ${ARGN})
-      # If there are quotes, excape them, so they come through.
+      # If there are quotes, escape them, so they come through.
      string(REPLACE "\"" "\\\"" arg ${arg})
      # Args with spaces need quotes around them to get them to be parsed as a single argument.
      if(arg MATCHES " ")
@@ -4,16 +4,6 @@ if(NOT MSVC)
  message(FATAL_ERROR "CRT options are available only for MSVC")
 endif()

-if (WINRT)
-  if (CMAKE_SYSTEM_VERSION MATCHES 10)
-    add_definitions(/DWINVER=_WIN32_WINNT_WIN10 /DNTDDI_VERSION=NTDDI_WIN10 /D_WIN32_WINNT=_WIN32_WINNT_WIN10)
-  elseif(CMAKE_SYSTEM_VERSION MATCHES 8.1)
-    add_definitions(/DWINVER=_WIN32_WINNT_WINBLUE /DNTDDI_VERSION=NTDDI_WINBLUE /D_WIN32_WINNT=_WIN32_WINNT_WINBLUE)
-  else()
-    add_definitions(/DWINVER=_WIN32_WINNT_WIN8 /DNTDDI_VERSION=NTDDI_WIN8 /D_WIN32_WINNT=_WIN32_WINNT_WIN8)
-  endif()
-endif()
-
 # Removing LNK4075 warnings for debug WinRT builds
 # "LNK4075: ignoring '/INCREMENTAL' due to '/OPT:ICF' specification"
 # "LNK4075: ignoring '/INCREMENTAL' due to '/OPT:REF' specification"
@@ -854,7 +854,7 @@ macro(__ocv_add_dispatched_file filename target_src_var src_directory dst_direct

      if(";${CPU_DISPATCH_FINAL};" MATCHES "${OPT}" OR __CPU_DISPATCH_INCLUDE_ALL)
        if(EXISTS "${src_directory}/${filename}.${OPT_LOWER}.cpp")
-          message(STATUS "Using overrided ${OPT} source: ${src_directory}/${filename}.${OPT_LOWER}.cpp")
+          message(STATUS "Using overridden ${OPT} source: ${src_directory}/${filename}.${OPT_LOWER}.cpp")
        else()
          list(APPEND ${target_src_var} "${__file}")
        endif()
@@ -123,6 +123,9 @@ if(CV_GCC OR CV_CLANG)
  add_extra_compiler_option(-Wsign-promo)
  add_extra_compiler_option(-Wuninitialized)
  add_extra_compiler_option(-Winit-self)
+  if(CV_GCC AND (CMAKE_CXX_COMPILER_VERSION VERSION_GREATER 6.0) AND (CMAKE_CXX_COMPILER_VERSION VERSION_LESS 7.0))
+    add_extra_compiler_option(-Wno-psabi)
+  endif()
  if(HAVE_CXX11)
    if(CMAKE_CXX_COMPILER_ID STREQUAL "GNU" AND NOT ENABLE_PRECOMPILED_HEADERS)
      add_extra_compiler_option(-Wsuggest-override)
@@ -282,11 +285,6 @@ if(MSVC)
  endif()
 endif()

-# Adding additional using directory for WindowsPhone 8.0 to get Windows.winmd properly
-if(WINRT_PHONE AND WINRT_8_0)
-  set(OPENCV_EXTRA_CXX_FLAGS "${OPENCV_EXTRA_CXX_FLAGS} /AI\$(WindowsSDK_MetadataPath)")
-endif()
-
 include(cmake/OpenCVCompilerOptimizations.cmake)
 if(COMMAND ocv_compiler_optimization_options)
  ocv_compiler_optimization_options()
@@ -27,7 +27,7 @@ if(ANT_EXECUTABLE)
    unset(ANT_EXECUTABLE CACHE)
  else()
    string(REGEX MATCH "[0-9]+.[0-9]+.[0-9]+" ANT_VERSION "${ANT_VERSION_FULL}")
-    set(ANT_VERSION "${ANT_VERSION}" CACHE INTERNAL "Detected ant vesion")
+    set(ANT_VERSION "${ANT_VERSION}" CACHE INTERNAL "Detected ant version")

    message(STATUS "Found apache ant: ${ANT_EXECUTABLE} (${ANT_VERSION})")
  endif()
@@ -368,7 +368,7 @@ if(HAVE_CUDA)
    endif()
  endif()

-  set(OPENCV_LINKER_LIBS ${OPENCV_LINKER_LIBS} ${CUDA_LIBRARIES} ${CUDA_CUDA_LIBRARY} ${CUDA_npp_LIBRARY})
+  set(OPENCV_LINKER_LIBS ${OPENCV_LINKER_LIBS} ${CUDA_LIBRARIES} ${CUDA_npp_LIBRARY})
  if(HAVE_CUBLAS)
    set(OPENCV_LINKER_LIBS ${OPENCV_LINKER_LIBS} ${CUDA_cublas_LIBRARY})
  endif()
@@ -191,6 +191,25 @@ if(NOT HAVE_CXX11)
    endif()
  endif()
 endif()
+
 if(NOT HAVE_CXX11)
  message(FATAL_ERROR "OpenCV 4.x requires C++11")
 endif()
+
+if((HAVE_CXX11
+        AND NOT MSVC
+        AND NOT (X86 OR X86_64)
+    AND NOT OPENCV_SKIP_LIBATOMIC_COMPILER_CHECK)
+    OR OPENCV_FORCE_LIBATOMIC_COMPILER_CHECK
+)
+  ocv_check_compiler_flag(CXX "" HAVE_CXX_ATOMICS_WITHOUT_LIB "${OpenCV_SOURCE_DIR}/cmake/checks/atomic_check.cpp")
+  if(NOT HAVE_CXX_ATOMICS_WITHOUT_LIB)
+    list(APPEND CMAKE_REQUIRED_LIBRARIES atomic)
+    ocv_check_compiler_flag(CXX "" HAVE_CXX_ATOMICS_WITH_LIB "${OpenCV_SOURCE_DIR}/cmake/checks/atomic_check.cpp")
+    if(HAVE_CXX_ATOMICS_WITH_LIB)
+      list(APPEND OPENCV_LINKER_LIBS atomic)
+    else()
+      message(FATAL_ERROR "C++11 compiler must support std::atomic")
+    endif()
+  endif()
+endif()
@@ -5,7 +5,7 @@
 #
 # Detect parameters:
 # 1. Native cmake IE package:
-#    - enironment variable InferenceEngine_DIR is set to location of cmake module
+#    - environment variable InferenceEngine_DIR is set to location of cmake module
 # 2. Custom location:
 #    - INF_ENGINE_INCLUDE_DIRS - headers search location
 #    - INF_ENGINE_LIB_DIRS     - library search location
@@ -45,7 +45,7 @@ endfunction()

 find_package(InferenceEngine QUIET)
 if(InferenceEngine_FOUND)
-  set(INF_ENGINE_TARGET IE::inference_engine)
+  set(INF_ENGINE_TARGET ${InferenceEngine_LIBRARIES})
  set(INF_ENGINE_VERSION "${InferenceEngine_VERSION}" CACHE STRING "")
  message(STATUS "Detected InferenceEngine: cmake package")
 endif()
@@ -80,9 +80,9 @@ endif()

 if(INF_ENGINE_TARGET)
  if(NOT INF_ENGINE_RELEASE)
-    message(WARNING "InferenceEngine version have not been set, 2019R2 will be used by default. Set INF_ENGINE_RELEASE variable if you experience build errors.")
+    message(WARNING "InferenceEngine version have not been set, 2019R3 will be used by default. Set INF_ENGINE_RELEASE variable if you experience build errors.")
  endif()
-  set(INF_ENGINE_RELEASE "2019020000" CACHE STRING "Force IE version, should be in form YYYYAABBCC (e.g. 2018R2.0.2 -> 2018020002)")
+  set(INF_ENGINE_RELEASE "2019030000" CACHE STRING "Force IE version, should be in form YYYYAABBCC (e.g. 2018R2.0.2 -> 2018020002)")
  set_target_properties(${INF_ENGINE_TARGET} PROPERTIES
    INTERFACE_COMPILE_DEFINITIONS "HAVE_INF_ENGINE=1;INF_ENGINE_RELEASE=${INF_ENGINE_RELEASE}"
  )
@@ -186,11 +186,7 @@ if(NOT ${found})
        else() #debian based assumed, install to the dist-packages.
          set(_packages_path "python${_version_major_minor}/dist-packages")
        endif()
-        if(EXISTS "${CMAKE_INSTALL_PREFIX}/lib${LIB_SUFFIX}/${${packages_path}}")
-          set(_packages_path "lib${LIB_SUFFIX}/${_packages_path}")
-        else()
-          set(_packages_path "lib/${_packages_path}")
-        endif()
+        set(_packages_path "lib/${_packages_path}")
      elseif(CMAKE_HOST_WIN32)
        get_filename_component(_path "${_executable}" PATH)
        file(TO_CMAKE_PATH "${_path}" _path)
@@ -249,7 +245,7 @@ if(NOT ${found})

  # Export return values
  set(${found} "${_found}" CACHE INTERNAL "")
-  set(${executable} "${_executable}" CACHE FILEPATH "Path to Python interpretor")
+  set(${executable} "${_executable}" CACHE FILEPATH "Path to Python interpreter")
  set(${version_string} "${_version_string}" CACHE INTERNAL "")
  set(${version_major} "${_version_major}" CACHE INTERNAL "")
  set(${version_minor} "${_version_minor}" CACHE INTERNAL "")
@@ -122,13 +122,8 @@ endif()
 #  Part 3/3: ${BIN_DIR}/win-install/OpenCVConfig.cmake  -> For use within binary installers/packages
 # --------------------------------------------------------------------------------------------
 if(WIN32)
-  if(CMAKE_HOST_SYSTEM_NAME MATCHES Windows)
-    if(BUILD_SHARED_LIBS)
-      set(_lib_suffix "lib")
-    else()
-      set(_lib_suffix "staticlib")
-    endif()
-    ocv_gen_config("${CMAKE_BINARY_DIR}/win-install" "${OpenCV_INSTALL_BINARIES_PREFIX}${_lib_suffix}" "OpenCVConfig.root-WIN32.cmake.in")
+  if(CMAKE_HOST_SYSTEM_NAME MATCHES Windows AND NOT OPENCV_SKIP_CMAKE_ROOT_CONFIG)
+    ocv_gen_config("${CMAKE_BINARY_DIR}/win-install" "${OPENCV_LIB_INSTALL_PATH}" "OpenCVConfig.root-WIN32.cmake.in")
  else()
    ocv_gen_config("${CMAKE_BINARY_DIR}/win-install" "" "")
  endif()
@@ -0,0 +1,101 @@
+# message(STATUS "Initial install layout:")
+# ocv_cmake_dump_vars("OPENCV_.*_INSTALL_PATH")
+
+if(ANDROID)
+
+  ocv_update(OPENCV_BIN_INSTALL_PATH            "sdk/native/bin/${ANDROID_NDK_ABI_NAME}")
+  ocv_update(OPENCV_TEST_INSTALL_PATH           "${OPENCV_BIN_INSTALL_PATH}")
+  ocv_update(OPENCV_SAMPLES_BIN_INSTALL_PATH    "sdk/native/samples/${ANDROID_NDK_ABI_NAME}")
+  ocv_update(OPENCV_LIB_INSTALL_PATH            "sdk/native/libs/${ANDROID_NDK_ABI_NAME}")
+  ocv_update(OPENCV_LIB_ARCHIVE_INSTALL_PATH    "sdk/native/staticlibs/${ANDROID_NDK_ABI_NAME}")
+  ocv_update(OPENCV_3P_LIB_INSTALL_PATH         "sdk/native/3rdparty/libs/${ANDROID_NDK_ABI_NAME}")
+  ocv_update(OPENCV_CONFIG_INSTALL_PATH         "sdk/native/jni")
+  ocv_update(OPENCV_INCLUDE_INSTALL_PATH        "sdk/native/jni/include")
+  ocv_update(OPENCV_OTHER_INSTALL_PATH          "sdk/etc")
+  ocv_update(OPENCV_SAMPLES_SRC_INSTALL_PATH    "samples/native")
+  ocv_update(OPENCV_LICENSES_INSTALL_PATH       "${OPENCV_OTHER_INSTALL_PATH}/licenses")
+  ocv_update(OPENCV_TEST_DATA_INSTALL_PATH      "${OPENCV_OTHER_INSTALL_PATH}/testdata")
+  ocv_update(OPENCV_DOC_INSTALL_PATH            "doc")
+  ocv_update(OPENCV_JAR_INSTALL_PATH            ".")
+  ocv_update(OPENCV_JNI_INSTALL_PATH            "${OPENCV_LIB_INSTALL_PATH}")
+  ocv_update(OPENCV_JNI_BIN_INSTALL_PATH        "${OPENCV_JNI_INSTALL_PATH}")
+
+elseif(WIN32 AND CMAKE_HOST_SYSTEM_NAME MATCHES Windows)
+
+  if(DEFINED OpenCV_RUNTIME AND DEFINED OpenCV_ARCH)
+    set(_prefix "${OpenCV_ARCH}/${OpenCV_RUNTIME}/")
+  else()
+    message(STATUS "Can't detect runtime and/or arch")
+    set(_prefix "")
+  endif()
+  if(OpenCV_STATIC)
+    set(_suffix "staticlib")
+  else()
+    set(_suffix "lib")
+  endif()
+  if(INSTALL_CREATE_DISTRIB)
+    set(_jni_suffix "/${OpenCV_ARCH}")
+  else()
+    set(_jni_suffix "")
+  endif()
+
+  ocv_update(OPENCV_BIN_INSTALL_PATH           "${_prefix}bin")
+  ocv_update(OPENCV_TEST_INSTALL_PATH          "${OPENCV_BIN_INSTALL_PATH}")
+  ocv_update(OPENCV_SAMPLES_BIN_INSTALL_PATH   "${_prefix}samples")
+  ocv_update(OPENCV_LIB_INSTALL_PATH           "${_prefix}${_suffix}")
+  ocv_update(OPENCV_LIB_ARCHIVE_INSTALL_PATH   "${OPENCV_LIB_INSTALL_PATH}")
+  ocv_update(OPENCV_3P_LIB_INSTALL_PATH        "${OPENCV_LIB_INSTALL_PATH}")
+  ocv_update(OPENCV_CONFIG_INSTALL_PATH        ".")
+  ocv_update(OPENCV_INCLUDE_INSTALL_PATH       "include")
+  ocv_update(OPENCV_OTHER_INSTALL_PATH         "etc")
+  ocv_update(OPENCV_SAMPLES_SRC_INSTALL_PATH   "samples")
+  ocv_update(OPENCV_LICENSES_INSTALL_PATH      "${OPENCV_OTHER_INSTALL_PATH}/licenses")
+  ocv_update(OPENCV_TEST_DATA_INSTALL_PATH     "testdata")
+  ocv_update(OPENCV_DOC_INSTALL_PATH           "doc")
+  ocv_update(OPENCV_JAR_INSTALL_PATH           "java")
+  ocv_update(OPENCV_JNI_INSTALL_PATH           "java${_jni_suffix}")
+  ocv_update(OPENCV_JNI_BIN_INSTALL_PATH       "${OPENCV_JNI_INSTALL_PATH}")
+
+else() # UNIX
+
+  include(GNUInstallDirs)
+  ocv_update(OPENCV_BIN_INSTALL_PATH           "bin")
+  ocv_update(OPENCV_TEST_INSTALL_PATH          "${OPENCV_BIN_INSTALL_PATH}")
+  ocv_update(OPENCV_SAMPLES_BIN_INSTALL_PATH   "${OPENCV_BIN_INSTALL_PATH}")
+  ocv_update(OPENCV_LIB_INSTALL_PATH           "${CMAKE_INSTALL_LIBDIR}")
+  ocv_update(OPENCV_LIB_ARCHIVE_INSTALL_PATH   "${OPENCV_LIB_INSTALL_PATH}")
+  ocv_update(OPENCV_3P_LIB_INSTALL_PATH        "${OPENCV_LIB_INSTALL_PATH}/opencv4/3rdparty")
+  ocv_update(OPENCV_CONFIG_INSTALL_PATH        "${OPENCV_LIB_INSTALL_PATH}/cmake/opencv4")
+  ocv_update(OPENCV_INCLUDE_INSTALL_PATH       "${CMAKE_INSTALL_INCLUDEDIR}/opencv4")
+  ocv_update(OPENCV_OTHER_INSTALL_PATH         "${CMAKE_INSTALL_DATAROOTDIR}/opencv4")
+  ocv_update(OPENCV_SAMPLES_SRC_INSTALL_PATH   "${OPENCV_OTHER_INSTALL_PATH}/samples")
+  ocv_update(OPENCV_LICENSES_INSTALL_PATH      "${CMAKE_INSTALL_DATAROOTDIR}/licenses/opencv4")
+  ocv_update(OPENCV_TEST_DATA_INSTALL_PATH     "${OPENCV_OTHER_INSTALL_PATH}/testdata")
+  ocv_update(OPENCV_DOC_INSTALL_PATH           "${CMAKE_INSTALL_DATAROOTDIR}/doc/opencv4")
+  ocv_update(OPENCV_JAR_INSTALL_PATH           "${CMAKE_INSTALL_DATAROOTDIR}/java/opencv4")
+  ocv_update(OPENCV_JNI_INSTALL_PATH           "${OPENCV_JAR_INSTALL_PATH}")
+  ocv_update(OPENCV_JNI_BIN_INSTALL_PATH       "${OPENCV_JNI_INSTALL_PATH}")
+
+endif()
+
+ocv_update(CMAKE_INSTALL_RPATH "${CMAKE_INSTALL_PREFIX}/${OPENCV_LIB_INSTALL_PATH}")
+set(CMAKE_INSTALL_RPATH_USE_LINK_PATH TRUE)
+
+if(INSTALL_TO_MANGLED_PATHS)
+  foreach(v
+      OPENCV_INCLUDE_INSTALL_PATH
+      # file names include version (.so/.dll): OPENCV_LIB_INSTALL_PATH
+      OPENCV_CONFIG_INSTALL_PATH
+      OPENCV_3P_LIB_INSTALL_PATH
+      OPENCV_SAMPLES_SRC_INSTALL_PATH
+      OPENCV_DOC_INSTALL_PATH
+      # JAR file name includes version: OPENCV_JAR_INSTALL_PATH
+      OPENCV_TEST_DATA_INSTALL_PATH
+      OPENCV_OTHER_INSTALL_PATH
+    )
+    string(REGEX REPLACE "opencv[0-9]*" "opencv-${OPENCV_VERSION}" ${v} "${${v}}")
+  endforeach()
+endif()
+
+# message(STATUS "Final install layout:")
+# ocv_cmake_dump_vars("OPENCV_.*_INSTALL_PATH")
@@ -1,4 +1,6 @@
-set(MIN_VER_CMAKE 3.5.1)
+if(NOT DEFINED MIN_VER_CMAKE)
+  set(MIN_VER_CMAKE 3.5.1)
+endif()
 set(MIN_VER_CUDA 6.5)
 set(MIN_VER_CUDNN 6)
 set(MIN_VER_PYTHON2 2.7)
@@ -852,7 +852,7 @@ macro(ocv_create_module)
    set(the_module_target ${the_module})
  endif()

-  if(WINRT)
+  if(WINRT AND BUILD_TESTS)
    # removing APPCONTAINER from modules to run from console
    # in case of usual starting of WinRT test apps output is missing
    # so starting of console version w/o APPCONTAINER is required to get test results
@@ -1206,10 +1206,6 @@ endfunction()
 function(ocv_add_accuracy_tests)
  ocv_debug_message("ocv_add_accuracy_tests(" ${ARGN} ")")

-  if(WINRT)
-    set(OPENCV_DEBUG_POSTFIX "")
-  endif()
-
  set(test_path "${CMAKE_CURRENT_LIST_DIR}/test")
  if(BUILD_TESTS AND EXISTS "${test_path}")
    __ocv_parse_test_sources(TEST ${ARGN})
@@ -305,10 +305,13 @@ fi
 ${_command} '-D$<JOIN:$<TARGET_PROPERTY:${_targetName},COMPILE_DEFINITIONS>,' '-D>'
 ")
    GET_FILENAME_COMPONENT(_outdir ${_output} PATH)
+    if(NOT CMAKE_HOST_WIN32)  # chmod may be not available on Win32/MinGW (and it is not required)
+      set(_pch_prepare_command COMMAND chmod +x "${_pch_generate_file_cmd}")
+    endif()
    ADD_CUSTOM_COMMAND(
      OUTPUT "${_output}"
      COMMAND ${CMAKE_COMMAND} -E make_directory "${_outdir}"
-      COMMAND chmod +x "${_pch_generate_file_cmd}"
+      ${_pch_prepare_command}
      COMMAND "${_pch_generate_file_cmd}"
      DEPENDS "${_input}" "${_pch_generate_file_cmd}"
      DEPENDS "${CMAKE_CURRENT_BINARY_DIR}/${_name}"
@@ -16,7 +16,8 @@ function(ocv_cmake_dump_vars)
    string(TOLOWER "${__variableName}" __variableName_lower)
    if((__variableName MATCHES "${regex}" OR __variableName_lower MATCHES "${regex_lower}")
        AND NOT __variableName_lower MATCHES "^__")
-      set(__VARS "${__VARS}${__variableName}=${${__variableName}}\n")
+      get_property(__value VARIABLE PROPERTY "${__variableName}")
+      set(__VARS "${__VARS}${__variableName}=${__value}\n")
    endif()
  endforeach()
  if(DUMP_TOFILE)
@@ -414,12 +415,34 @@ MACRO(ocv_check_compiler_flag LANG FLAG RESULT)
      else()
        set(__msg "")
      endif()
+      if(CMAKE_REQUIRED_LIBRARIES)
+        set(__link_libs LINK_LIBRARIES ${CMAKE_REQUIRED_LIBRARIES})
+      else()
+        set(__link_libs)
+      endif()
+      set(__cmake_flags "")
+      if(CMAKE_EXE_LINKER_FLAGS)  # CMP0056 do this on new CMake
+        list(APPEND __cmake_flags "-DCMAKE_EXE_LINKER_FLAGS=${CMAKE_EXE_LINKER_FLAGS}")
+      endif()
+
+      # CMP0067 do this on new CMake
+      if(DEFINED CMAKE_CXX_STANDARD)
+        list(APPEND __cmake_flags "-DCMAKE_CXX_STANDARD=${CMAKE_CXX_STANDARD}")
+      endif()
+      if(DEFINED CMAKE_CXX_STANDARD_REQUIRED)
+        list(APPEND __cmake_flags "-DCMAKE_CXX_STANDARD_REQUIRED=${CMAKE_CXX_STANDARD_REQUIRED}")
+      endif()
+      if(DEFINED CMAKE_CXX_EXTENSIONS)
+        list(APPEND __cmake_flags "-DCMAKE_CXX_EXTENSIONS=${CMAKE_CXX_EXTENSIONS}")
+      endif()
+
      MESSAGE(STATUS "Performing Test ${RESULT}${__msg}")
      TRY_COMPILE(${RESULT}
        "${CMAKE_BINARY_DIR}"
        "${_fname}"
-        CMAKE_FLAGS "-DCMAKE_EXE_LINKER_FLAGS=${CMAKE_EXE_LINKER_FLAGS}"   # CMP0056 do this on new CMake
+        CMAKE_FLAGS ${__cmake_flags}
        COMPILE_DEFINITIONS "${FLAG}"
+        ${__link_libs}
        OUTPUT_VARIABLE OUTPUT)

      if(${RESULT})
@@ -781,7 +804,7 @@ macro(ocv_check_modules define)
          if(pkgcfg_lib_${define}_${_lib})
            list(APPEND _libs "${pkgcfg_lib_${define}_${_lib}}")
          else()
-            message(WARNING "ocv_check_modules(${define}): can't find library '${_lib}'. Specify 'pkgcfg_lib_${define}_${_lib}' manualy")
+            message(WARNING "ocv_check_modules(${define}): can't find library '${_lib}'. Specify 'pkgcfg_lib_${define}_${_lib}' manually")
            list(APPEND _libs "${_lib}")
          endif()
        else()
@@ -49,7 +49,7 @@ macro(android_get_compatible_target VAR)
    list(GET ANDROID_SDK_TARGETS 0 __lvl)
    string(REGEX MATCH "[0-9]+$" __lvl "${__lvl}")

-    #find minimal level mathing to all provided levels
+    #find minimal level matching to all provided levels
    foreach(lvl ${ARGN})
      string(REGEX MATCH "[0-9]+$" __level "${lvl}")
      if(__level GREATER __lvl)
@@ -0,0 +1,12 @@
+#include <atomic>
+
+static int test()
+{
+    std::atomic<int> x;
+    return x;
+}
+
+int main()
+{
+    return test();
+}
@@ -0,0 +1 @@
+# empty
@@ -0,0 +1 @@
+# empty
@@ -0,0 +1 @@
+# empty
@@ -0,0 +1,31 @@
+set(WINRT TRUE)
+
+add_definitions(-DWINRT -DNO_GETENV)
+
+# Making definitions available to other configurations and
+# to filter dependency restrictions at compile time.
+if(WINDOWS_PHONE)
+  set(WINRT_PHONE TRUE)
+  add_definitions(-DWINRT_PHONE)
+elseif(WINDOWS_STORE)
+  set(WINRT_STORE TRUE)
+  add_definitions(-DWINRT_STORE)
+endif()
+
+if(CMAKE_SYSTEM_VERSION MATCHES 10)
+  set(WINRT_10 TRUE)
+  add_definitions(-DWINRT_10)
+  add_definitions(/DWINVER=_WIN32_WINNT_WIN10 /DNTDDI_VERSION=NTDDI_WIN10 /D_WIN32_WINNT=_WIN32_WINNT_WIN10)
+elseif(CMAKE_SYSTEM_VERSION MATCHES 8.1)
+  set(WINRT_8_1 TRUE)
+  add_definitions(-DWINRT_8_1)
+  add_definitions(/DWINVER=_WIN32_WINNT_WINBLUE /DNTDDI_VERSION=NTDDI_WINBLUE /D_WIN32_WINNT=_WIN32_WINNT_WINBLUE)
+elseif(CMAKE_SYSTEM_VERSION MATCHES 8.0)
+  set(WINRT_8_0 TRUE)
+  add_definitions(-DWINRT_8_0)
+  add_definitions(/DWINVER=_WIN32_WINNT_WIN8 /DNTDDI_VERSION=NTDDI_WIN8 /D_WIN32_WINNT=_WIN32_WINNT_WIN8)
+else()
+  message(STATUS "Unsupported WINRT version (consider upgrading OpenCV): ${CMAKE_SYSTEM_VERSION}")
+endif()
+
+set(OPENCV_DEBUG_POSTFIX "")
@@ -0,0 +1 @@
+# empty
@@ -0,0 +1 @@
+add_definitions(-DNO_GETENV)
@@ -0,0 +1,6 @@
+include("${CMAKE_CURRENT_LIST_DIR}/OpenCV_WinRT.cmake")
+
+# Adding additional using directory for WindowsPhone 8.0 to get Windows.winmd properly
+if(WINRT_8_0)
+  set(OPENCV_EXTRA_CXX_FLAGS "${OPENCV_EXTRA_CXX_FLAGS} /AI\$(WindowsSDK_MetadataPath)")
+endif()
@@ -0,0 +1 @@
+include("${CMAKE_CURRENT_LIST_DIR}/OpenCV_WinRT.cmake")
@@ -0,0 +1 @@
+# empty
@@ -18,11 +18,17 @@ namespace cv {
 extern __declspec(dllimport) bool __termination;  // Details: #12750
 }

-extern "C"
-BOOL WINAPI DllMain(HINSTANCE, DWORD fdwReason, LPVOID lpReserved);
+#ifdef _WIN32_WCE
+#define DLL_MAIN_ARG0 HANDLE
+#else
+#define DLL_MAIN_ARG0 HINSTANCE
+#endif

 extern "C"
-BOOL WINAPI DllMain(HINSTANCE, DWORD fdwReason, LPVOID lpReserved)
+BOOL WINAPI DllMain(DLL_MAIN_ARG0, DWORD fdwReason, LPVOID lpReserved);
+
+extern "C"
+BOOL WINAPI DllMain(DLL_MAIN_ARG0, DWORD fdwReason, LPVOID lpReserved)
 {
    if (fdwReason == DLL_THREAD_DETACH || fdwReason == DLL_PROCESS_DETACH)
    {
@@ -147,7 +147,7 @@ if(DOXYGEN_FOUND)

  # set export variables
  string(REPLACE ";" " \\\n" CMAKE_DOXYGEN_INPUT_LIST "${rootfile} ; ${faqfile} ; ${paths_include} ; ${paths_hal_interface} ; ${paths_doc} ; ${tutorial_path} ; ${tutorial_py_path} ; ${tutorial_js_path} ; ${paths_tutorial} ; ${tutorial_contrib_root}")
-  string(REPLACE ";" " \\\n" CMAKE_DOXYGEN_IMAGE_PATH "${paths_doc} ; ${tutorial_path} ; ${tutorial_py_path} ; ${tutorial_js_path} ; ${paths_tutorial}")
+  string(REPLACE ";" " \\\n" CMAKE_DOXYGEN_IMAGE_PATH "${CMAKE_CURRENT_SOURCE_DIR}/images ; ${paths_doc} ; ${tutorial_path} ; ${tutorial_py_path} ; ${tutorial_js_path} ; ${paths_tutorial}")
  string(REPLACE ";" " \\\n" CMAKE_DOXYGEN_EXCLUDE_LIST "${CMAKE_DOXYGEN_EXCLUDE_LIST}")
  string(REPLACE ";" " " CMAKE_DOXYGEN_ENABLED_SECTIONS "${CMAKE_DOXYGEN_ENABLED_SECTIONS}")
  # TODO: remove paths_doc from EXAMPLE_PATH after face module tutorials/samples moved to separate folders
@@ -266,9 +266,7 @@ GENERATE_TAGFILE       = @CMAKE_DOXYGEN_OUTPUT_PATH@/html/opencv.tag
 ALLEXTERNALS           = NO
 EXTERNAL_GROUPS        = YES
 EXTERNAL_PAGES         = YES
-PERL_PATH              = /usr/bin/perl
 CLASS_DIAGRAMS         = YES
-MSCGEN_PATH            =
 DIA_PATH               =
 HIDE_UNDOC_RELATIONS   = NO
 HAVE_DOT               = NO
@@ -7,6 +7,9 @@ Installing Emscripten

 [Emscripten](https://github.com/kripken/emscripten) is an LLVM-to-JavaScript compiler. We will use Emscripten to build OpenCV.js.

+@note
+While this describes installation of required tools from scratch, there's a section below also describing an alternative procedure to perform the same build using docker containers which is often easier.
+
 To Install Emscripten, follow instructions of [Emscripten SDK](https://kripken.github.io/emscripten-site/docs/getting_started/downloads.html).

 For example:
@@ -103,3 +106,25 @@ Building OpenCV.js from Source

    @note
    It requires `node` installed in your development environment.
+
+Building OpenCV.js with Docker
+---------------------------------------
+
+Alternatively, the same build can be can be accomplished using [docker](https://www.docker.com/) containers which is often easier and more reliable, particularly in non linux systems. You only need to install [docker](https://www.docker.com/) on your system and use a popular container that provides a clean well tested environment for emscripten builds like this, that already has latest versions of all the necessary tools installed.
+
+So, make sure [docker](https://www.docker.com/) is installed in your system and running. The following shell script should work in linux and MacOS:
+
+@code{.bash}
+git clone https://github.com/opencv/opencv.git
+cd opencv
+docker run --rm --workdir /code -v "$PWD":/code "trzeci/emscripten:latest" python ./platforms/js/build_js.py build_js
+@endcode
+
+In Windows use the following PowerShell command:
+
+@code{.bash}
+docker run --rm --workdir /code -v "$(get-location):/code" "trzeci/emscripten:latest" python ./platforms/js/build_js.py build_js
+@endcode
+
+@note
+The example uses latest version of [trzeci/emscripten](https://hub.docker.com/r/trzeci/emscripten) docker container. At this time, the latest version works fine and is `trzeci/emscripten:sdk-tag-1.38.32-64bit`
@@ -13,7 +13,7 @@ Optical Flow
 ------------

 Optical flow is the pattern of apparent motion of image objects between two consecutive frames
-caused by the movemement of object or camera. It is 2D vector field where each vector is a
+caused by the movement of object or camera. It is 2D vector field where each vector is a
 displacement vector showing the movement of points from first frame to second. Consider the image
 below (Image Courtesy: [Wikipedia article on Optical
 Flow](http://en.wikipedia.org/wiki/Optical_flow)).
@@ -40,7 +40,7 @@ goal):
 img1 = cv.imread('messi5.jpg')

 e1 = cv.getTickCount()
-for i in xrange(5,49,2):
+for i in range(5,49,2):
    img1 = cv.medianBlur(img1,i)
 e2 = cv.getTickCount()
 t = (e2 - e1)/cv.getTickFrequency()
@@ -38,13 +38,13 @@ best matches. There is also **cv.drawMatchesKnn** which draws all the k best mat
 will draw two match-lines for each keypoint. So we have to pass a mask if we want to selectively
 draw it.

-Let's see one example for each of SURF and ORB (Both use different distance measurements).
+Let's see one example for each of SIFT and ORB (Both use different distance measurements).

 ### Brute-Force Matching with ORB Descriptors

 Here, we will see a simple example on how to match features between two images. In this case, I have
 a queryImage and a trainImage. We will try to find the queryImage in trainImage using feature
-matching. ( The images are /samples/c/box.png and /samples/c/box_in_scene.png)
+matching. ( The images are /samples/data/box.png and /samples/data/box_in_scene.png)

 We are using ORB descriptors to match features. So let's start with loading images, finding
 descriptors etc.
@@ -253,8 +253,8 @@ Here is explained in detail the code for the real time application:
    @code{.cpp}
    RobustMatcher rmatcher;                                                          // instantiate RobustMatcher

-    cv::FeatureDetector * detector = new cv::OrbFeatureDetector(numKeyPoints);       // instatiate ORB feature detector
-    cv::DescriptorExtractor * extractor = new cv::OrbDescriptorExtractor();          // instatiate ORB descriptor extractor
+    cv::FeatureDetector * detector = new cv::OrbFeatureDetector(numKeyPoints);       // instantiate ORB feature detector
+    cv::DescriptorExtractor * extractor = new cv::OrbDescriptorExtractor();          // instantiate ORB descriptor extractor

    rmatcher.setFeatureDetector(detector);                                           // set feature detector
    rmatcher.setDescriptorExtractor(extractor);                                      // set descriptor extractor
@@ -12,7 +12,7 @@ Tutorial was written for the following versions of corresponding software:

 - Download and install Android Studio from https://developer.android.com/studio.

- Get the latest pre-built OpenCV for Android release from https://github.com/opencv/opencv/releases and unpack it (for example, `opencv-4.1.1-android-sdk.zip`).
+- Get the latest pre-built OpenCV for Android release from https://github.com/opencv/opencv/releases and unpack it (for example, `opencv-4.1.2-android-sdk.zip`).

 - Download MobileNet object detection model from https://github.com/chuanqi305/MobileNet-SSD. We need a configuration file `MobileNetSSD_deploy.prototxt` and weights `MobileNetSSD_deploy.caffemodel`.

@@ -29,8 +29,8 @@ This distance is equivalent to count the number of different elements for binary

 To filter the matches, Lowe proposed in @cite Lowe:2004:DIF:993451.996342 to use a distance ratio test to try to eliminate false matches.
 The distance ratio between the two nearest matches of a considered keypoint is computed and it is a good match when this value is below
-a thresold. Indeed, this ratio allows helping to discriminate between ambiguous matches (distance ratio between the two nearest neighbors is
-close to one) and well discriminated matches. The figure below from the SIFT paper illustrates the probability that a match is correct
+a threshold. Indeed, this ratio allows helping to discriminate between ambiguous matches (distance ratio between the two nearest neighbors
+is close to one) and well discriminated matches. The figure below from the SIFT paper illustrates the probability that a match is correct
 based on the nearest-neighbor distance ratio test.

 ![](images/Feature_FlannMatcher_Lowe_ratio_test.png)
@@ -39,7 +39,7 @@ With G-API, we can define it as follows:
 It is important to understand that the new G-API based version of
 calcGST() will just produce a compute graph, in contrast to its
 original version, which actually calculates the values. This is a
-principial difference -- G-API based functions like this are used to
+principal difference -- G-API based functions like this are used to
 construct graphs, not to process the actual data.

 Let's start implementing calcGST() with calculation of \f$J\f$
@@ -186,7 +186,7 @@ is also OpenCV-based since it fallbacks to OpenCV functions inside.

 On GNU/Linux, application memory footprint can be profiled with
 [Valgrind](http://valgrind.org/). On Debian/Ubuntu systems it can be
-installed like this (assuming you have administrator priveleges):
+installed like this (assuming you have administrator privileges):

    $ sudo apt-get install valgrind massif-visualizer

@@ -239,10 +239,10 @@ consumption is because the default naive OpenCV-based backend is used to
 execute this graph. This backend serves mostly for quick prototyping
 and debugging algorithms before offload/further optimization.

-This backend doesn't utilize any complex memory mamagement strategies yet
+This backend doesn't utilize any complex memory management strategies yet
 since it is not its point at the moment. In the following chapter,
 we'll learn about Fluid backend and see how the same G-API code can
-run in a completely different model (and the footprint shrinked to a
+run in a completely different model (and the footprint shrunk to a
 number of kilobytes).

 # Backends and kernels {#gapi_anisotropic_backends}
@@ -298,7 +298,7 @@ as a _graph compilation option_:

@snippet cpp/tutorial_code/gapi/porting_anisotropic_image_segmentation/porting_anisotropic_image_segmentation_gapi_fluid.cpp kernel_pkg_use

-Traditional OpenCV is logically divided into modules, whith every
+Traditional OpenCV is logically divided into modules, with every
 module providing a set of functions. In G-API, there are also
 "modules" which are represented as kernel packages provided by a
 particular backend. In this example, we pass Fluid kernel packages to
@@ -375,7 +375,7 @@ left side of the dump) is easily noticeable.
 The visualization reflects how G-API deals with mixed graphs, also
 called _heterogeneous_ graphs. The majority of operations in this
 graph are implemented with Fluid backend, but Box filters are executed
-by the OpenCV backend. One can easily see that the graph is partioned
+by the OpenCV backend. One can easily see that the graph is partitioned
 (with rectangles). G-API groups connected operations based on their
 affinity, forming _subgraphs_ (or _islands_ in G-API terminology), and
 our top-level graph becomes a composition of multiple smaller
@@ -15,7 +15,7 @@ The primary objectives for this tutorial:

 -   How to use OpenCV [imread](@ref imread) to load satellite imagery.
 -   How to use OpenCV [imread](@ref imread) to load SRTM Digital Elevation Models
-   Given the corner coordinates of both the image and DEM, correllate the elevation data to the
+-   Given the corner coordinates of both the image and DEM, correlate the elevation data to the
    image to find elevations for each pixel.
 -   Show a basic, easy-to-implement example of a terrain heat map.
 -   Show a basic use of DEM data coupled with ortho-rectified imagery.
@@ -157,7 +157,7 @@ already known by now.
    -   *src*: Source image
    -   *dst*: Destination image
    -   *Size(w, h)*: The size of the kernel to be used (the neighbors to be considered). \f$w\f$ and
-        \f$h\f$ have to be odd and positive numbers otherwise thi size will be calculated using the
+        \f$h\f$ have to be odd and positive numbers otherwise the size will be calculated using the
        \f$\sigma_{x}\f$ and \f$\sigma_{y}\f$ arguments.
    -   \f$\sigma_{x}\f$: The standard deviation in x. Writing \f$0\f$ implies that \f$\sigma_{x}\f$ is
        calculated using kernel size.
@@ -30,7 +30,7 @@ Two of the most basic morphological operations are dilation and erosion. Dilatio

    ![Dilation on a Grayscale Image](images/morph6.gif)

-   __Erosion__: The vise versa applies for the erosion operation. The value of the output pixel is the <b><em>minimum</em></b> value of all the pixels that fall within the structuring element's size and shape. Look the at the example figures below:
+-   __Erosion__: The vice versa applies for the erosion operation. The value of the output pixel is the <b><em>minimum</em></b> value of all the pixels that fall within the structuring element's size and shape. Look the at the example figures below:

    ![Erosion on a Binary Image](images/morph211.png)

@@ -36,14 +36,14 @@ Open your Doxyfile using your favorite text editor and search for the key
 `TAGFILES`. Change it as follows:

@code
-TAGFILES = ./docs/doxygen-tags/opencv.tag=http://docs.opencv.org/4.1.1
+TAGFILES = ./docs/doxygen-tags/opencv.tag=http://docs.opencv.org/4.1.2
@endcode

 If you had other definitions already, you can append the line using a `\`:

@code
 TAGFILES = ./docs/doxygen-tags/libstdc++.tag=https://gcc.gnu.org/onlinedocs/libstdc++/latest-doxygen \
-           ./docs/doxygen-tags/opencv.tag=http://docs.opencv.org/4.1.1
+           ./docs/doxygen-tags/opencv.tag=http://docs.opencv.org/4.1.2
@endcode

 Doxygen can now use the information from the tag file to link to the OpenCV
@@ -189,7 +189,7 @@ brief->compute(gray, query_kpts, query_desc); //Compute brief descriptors at eac

 OpenCL {#tutorial_transition_hints_opencl}
 ------
-All specialized `ocl` implemetations has been hidden behind general C++ algorithm interface. Now the function execution path can be selected dynamically at runtime: CPU or OpenCL; this mechanism is also called "Transparent API".
+All specialized `ocl` implementations has been hidden behind general C++ algorithm interface. Now the function execution path can be selected dynamically at runtime: CPU or OpenCL; this mechanism is also called "Transparent API".

 New class cv::UMat is intended to hide data exchange with OpenCL device in a convenient way.

@@ -50,7 +50,7 @@ Now we will learn how to write a simple Hello World Application in Xcode using O
 Output
 ------

-![](images/output.png)
+![](images/ios_hello_output.png)

 Changes for XCode5+ and iOS8+
 -----------------------------
@@ -101,7 +101,7 @@ using namespace cv;
 }
@endcode
 In this case, we initialize the camera and provide the imageView as a target for rendering each
-frame. CvVideoCamera is basically a wrapper around AVFoundation, so we provie as properties some of
+frame. CvVideoCamera is basically a wrapper around AVFoundation, so we provide as properties some of
 the AVFoundation camera options. For example we want to use the front camera, set the video size to
 352x288 and a video orientation (the video camera normally outputs in landscape mode, which results
 in transposed data when you design a portrait application).
@@ -205,4 +205,4 @@ The code opens an image, finds the orientation of the detected objects of intere

 ![](images/pca_test1.jpg)

-![](images/output.png)
+![](images/pca_output.png)
@@ -13,7 +13,7 @@ In this tutorial you will learn how to:
 Motivation
 ----------

-Why is it interesting to extend the SVM optimation problem in order to handle non-linearly separable
+Why is it interesting to extend the SVM optimization problem in order to handle non-linearly separable
 training data? Most of the applications in which SVMs are used in computer vision require a more
 powerful tool than a simple linear classifier. This stems from the fact that in these tasks __the
 training data can be rarely separated using an hyperplane__.
@@ -113,7 +113,7 @@ This tutorial code's is shown lines below. You can also download it from
 Result
 ------

-#  Here is the result of running the code above and using as input the video stream of a build-in
+-#  Here is the result of running the code above and using as input the video stream of a built-in
    webcam:

    ![](images/Cascade_Classifier_Tutorial_Result_Haar.jpg)
@@ -15,7 +15,7 @@ Code
 ----

 This tutorial code's is shown lines below. You can also download it from
-[here](https://github.com/opencv/opencv/tree/master/samples/cpp/samples/cpp/stitching.cpp).
+[here](https://github.com/opencv/opencv/tree/master/samples/cpp/stitching.cpp).

@include samples/cpp/stitching.cpp

@@ -15,7 +15,7 @@ Optical Flow
 ------------

 Optical flow is the pattern of apparent motion of image objects between two consecutive frames
-caused by the movemement of object or camera. It is 2D vector field where each vector is a
+caused by the movement of object or camera. It is 2D vector field where each vector is a
 displacement vector showing the movement of points from first frame to second. Consider the image
 below (Image Courtesy: [Wikipedia article on Optical Flow](http://en.wikipedia.org/wiki/Optical_flow)).

@@ -16,4 +16,4 @@ PERF_TEST(Undistort, InitUndistortMap)
    SANITY_CHECK_NOTHING();
 }

-}
+} // namespace
@@ -627,7 +627,7 @@ static void cvProjectPoints2Internal( const CvMat* objectPoints,

    if( (CV_MAT_TYPE(A->type) != CV_64FC1 && CV_MAT_TYPE(A->type) != CV_32FC1) ||
        A->rows != 3 || A->cols != 3 )
-        CV_Error( CV_StsBadArg, "Instrinsic parameters must be 3x3 floating-point matrix" );
+        CV_Error( CV_StsBadArg, "Intrinsic parameters must be 3x3 floating-point matrix" );

    cvConvert( A, &_a );
    fx = a[0]; fy = a[4];
@@ -1588,7 +1588,7 @@ static double cvCalibrateCamera2Internal( const CvMat* objectPoints,
    Mat _Je( maxPoints*2, 6, CV_64FC1 );
    Mat _err( maxPoints*2, 1, CV_64FC1 );

-    const bool allocJo = (solver.state == CvLevMarq::CALC_J) || stdDevs;
+    const bool allocJo = (solver.state == CvLevMarq::CALC_J) || stdDevs || releaseObject;
    Mat _Jo = allocJo ? Mat( maxPoints*2, maxPoints*3, CV_64FC1, Scalar(0) ) : Mat();

    if(flags & CALIB_USE_LU) {
@@ -119,7 +119,7 @@ cv::Mat findHomography1D(cv::InputArray _src,cv::InputArray _dst)
    cv::Mat b = cv::Mat::zeros(count,1,CV_64FC1);

    // fill A;b and perform singular value decomposition
-    // it is assumed that w is one for both cooridnates
+    // it is assumed that w is one for both coordinates
    // h22 is kept to 1
    switch(src_n.type())
    {
@@ -252,7 +252,7 @@ class Chessboard: public cv::Feature2D
                /**
                 * \brief Estimates the search area for a specific point based on the given homography
                 *
-                 * \param[in] H homography descriping the transformation from ideal board to real one
+                 * \param[in] H homography describing the transformation from ideal board to real one
                 * \param[in] row Row of the point
                 * \param[in] col Col of the point
                 * \param[in] p Percentage [0..1]
@@ -562,8 +562,8 @@ class Chessboard: public cv::Feature2D
                void flipHorizontal();

                /**
-                 * \brief Flips and rotates the board so that the anlge of
-                 * either the black or white diagonale is bigger than the x
+                 * \brief Flips and rotates the board so that the angle of
+                 * either the black or white diagonal is bigger than the x
                 * and y axis of the board and from a right handed
                 * coordinate system
                 */
@@ -650,7 +650,7 @@ class Chessboard: public cv::Feature2D
                        bool right(bool check_empty=false);   // moves one corner to the right or returns false
                        bool bottom(bool check_empty=false);  // moves one corner to the bottom or returns false
                        bool top(bool check_empty=false);     // moves one corner to the top or returns false
-                        bool checkCorner()const;              // returns ture if the current corner belongs to at least one
+                        bool checkCorner()const;              // returns true if the current corner belongs to at least one
                                                              // none empty cell
                        bool isNaN()const;                    // returns true if the currnet corner is NaN

@@ -506,7 +506,7 @@ int cv::recoverPose( InputArray E, InputArray _points1, InputArray _points2,
    // Do the cheirality check.
    // Notice here a threshold dist is used to filter
    // out far away points (i.e. infinite points) since
-    // their depth may vary between positive and negtive.
+    // their depth may vary between positive and negative.
    std::vector<Mat> allTriangulations(4);
    Mat Q;

@@ -650,7 +650,7 @@ void PoseSolver::makeCanonicalObjectPoints(InputArray _objectPoints, OutputArray

        if (!computeObjextSpaceR3Pts(objectPoints,R))
        {
-            //we could not compute R, problably because there is a duplicate point in {objectPoints(0),objectPoints(1),objectPoints(2)}.
+            //we could not compute R, probably because there is a duplicate point in {objectPoints(0),objectPoints(1),objectPoints(2)}.
            //So we compute it with the SVD (which is slower):
            computeObjextSpaceRSvD(UZero,R);
        }
@@ -191,7 +191,7 @@ void CV_HomographyTest::print_information_4(int _method, int j, int N, int k, in
    cout << "Number of point: " << k << endl;
    cout << "Norm type using in criteria: "; if (NORM_TYPE[l] == 1) cout << "INF"; else if (NORM_TYPE[l] == 2) cout << "L1"; else cout << "L2"; cout << endl;
    cout << "Difference with noise of point: " << diff << endl;
-    cout << "Maxumum allowed difference: " << max_2diff << endl; cout << endl;
+    cout << "Maximum allowed difference: " << max_2diff << endl; cout << endl;
 }

 void CV_HomographyTest::print_information_5(int _method, int j, int N, int l, double diff)
@@ -204,7 +204,7 @@ void CV_HomographyTest::print_information_5(int _method, int j, int N, int l, do
    cout << "Count of points: " << N << endl;
    cout << "Norm type using in criteria: "; if (NORM_TYPE[l] == 1) cout << "INF"; else if (NORM_TYPE[l] == 2) cout << "L1"; else cout << "L2"; cout << endl;
    cout << "Difference with noise of points: " << diff << endl;
-    cout << "Maxumum allowed difference: " << max_diff << endl; cout << endl;
+    cout << "Maximum allowed difference: " << max_diff << endl; cout << endl;
 }

 void CV_HomographyTest::print_information_6(int _method, int j, int N, int k, double diff, bool value)
@@ -244,7 +244,7 @@ void CV_HomographyTest::print_information_8(int _method, int j, int N, int k, in
    cout << "Number of point: " << k << "   " << endl;
    cout << "Norm type using in criteria: "; if (NORM_TYPE[l] == 1) cout << "INF"; else if (NORM_TYPE[l] == 2) cout << "L1"; else cout << "L2"; cout << endl;
    cout << "Difference with noise of point: " << diff << endl;
-    cout << "Maxumum allowed difference: " << max_2diff << endl; cout << endl;
+    cout << "Maximum allowed difference: " << max_2diff << endl; cout << endl;
 }

 void CV_HomographyTest::run(int)
@@ -23,7 +23,7 @@ ocv_add_module(core

 set(extra_libs "")

-if(WINRT AND CMAKE_SYSTEM_NAME MATCHES WindowsStore AND CMAKE_SYSTEM_VERSION MATCHES "8.0")
+if(WINRT AND WINDOWS_STORE AND CMAKE_SYSTEM_VERSION MATCHES "8.0")
  list(APPEND extra_libs ole32.lib)
 endif()

@@ -73,8 +73,10 @@
    @defgroup core_cluster Clustering
    @defgroup core_utils Utility and system functions and macros
    @{
+        @defgroup core_logging Logging facilities
        @defgroup core_utils_sse SSE utilities
        @defgroup core_utils_neon NEON utilities
+        @defgroup core_utils_vsx VSX utilities
        @defgroup core_utils_softfloat Softfloat support
        @defgroup core_utils_samples Utility functions for OpenCV samples
    @}
@@ -53,7 +53,7 @@
                          which is incompatible with C

   It is OK to disable it because we only extend few plain structures with
-   C++ construrtors for simpler interoperability with C++ API of the library
+   C++ constructors for simpler interoperability with C++ API of the library
 */
 #    pragma warning(disable:4190)
 #  elif defined __clang__ && __clang_major__ >= 3
@@ -126,7 +126,7 @@ public:
    CV_WRAP GpuMat(int rows, int cols, int type, GpuMat::Allocator* allocator = GpuMat::defaultAllocator());
    CV_WRAP GpuMat(Size size, int type, GpuMat::Allocator* allocator = GpuMat::defaultAllocator());

-    //! constucts GpuMat and fills it with the specified value _s
+    //! constructs GpuMat and fills it with the specified value _s
    CV_WRAP GpuMat(int rows, int cols, int type, Scalar s, GpuMat::Allocator* allocator = GpuMat::defaultAllocator());
    CV_WRAP GpuMat(Size size, int type, Scalar s, GpuMat::Allocator* allocator = GpuMat::defaultAllocator());

@@ -47,12 +47,6 @@

 #include "opencv2/core/cvdef.h"

-#if ((defined _MSC_VER && defined _M_X64) || (defined __GNUC__ && defined __x86_64__ \
-    && defined __SSE2__ && !defined __APPLE__)) && !defined(__CUDACC__)
-#include <emmintrin.h>
-#endif
-
-
 //! @addtogroup core_utils
 //! @{

@@ -70,7 +64,24 @@
 #  endif
 #endif

-#if defined __GNUC__ && defined __arm__ && (defined __ARM_PCS_VFP || defined __ARM_VFPV3__ || defined __ARM_NEON__) && !defined __SOFTFP__ && !defined(__CUDACC__)
+#if defined(__CUDACC__)
+  // nothing, intrinsics/asm code is not supported
+#else
+  #if ((defined _MSC_VER && defined _M_X64) \
+      || (defined __GNUC__ && defined __x86_64__ && defined __SSE2__)) \
+      && !defined(OPENCV_SKIP_INCLUDE_EMMINTRIN_H)
+    #include <emmintrin.h>
+  #endif
+
+  #if defined __PPC64__ && defined __GNUC__ && defined _ARCH_PWR8 \
+      && !defined(OPENCV_SKIP_INCLUDE_ALTIVEC_H)
+    #include <altivec.h>
+  #endif
+
+  #if defined(CV_INLINE_ROUND_FLT)
+    // user-specified version
+    // CV_INLINE_ROUND_DBL should be defined too
+  #elif defined __GNUC__ && defined __arm__ && (defined __ARM_PCS_VFP || defined __ARM_VFPV3__ || defined __ARM_NEON__) && !defined __SOFTFP__
    // 1. general scheme
    #define ARM_ROUND(_value, _asm_string) \
        int res; \
@@ -80,13 +91,102 @@
        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]")
+        #define CV_INLINE_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]")
+        #define CV_INLINE_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
+    #define CV_INLINE_ROUND_FLT(value) ARM_ROUND(value, "vcvtr.s32.f32 %[temp], %[value]\n vmov %[res], %[temp]")
+  #elif defined __PPC64__ && defined __GNUC__ && defined _ARCH_PWR8
+    // P8 and newer machines can convert fp32/64 to int quickly.
+    #define CV_INLINE_ROUND_DBL(value) \
+        int out; \
+        double temp; \
+        __asm__( "fctiw %[temp],%[in]\n\tmfvsrwz %[out],%[temp]\n\t" : [out] "=r" (out), [temp] "=d" (temp) : [in] "d" ((double)(value)) : ); \
+        return out;
+
+    // FP32 also works with FP64 routine above
+    #define CV_INLINE_ROUND_FLT(value) CV_INLINE_ROUND_DBL(value)
+  #endif
+
+  #ifdef CV_INLINE_ISINF_FLT
+    // user-specified version
+    // CV_INLINE_ISINF_DBL should be defined too
+  #elif defined __PPC64__ && defined _ARCH_PWR9 && defined(scalar_test_data_class)
+    #define CV_INLINE_ISINF_DBL(value) return scalar_test_data_class(value, 0x30);
+    #define CV_INLINE_ISINF_FLT(value) CV_INLINE_ISINF_DBL(value)
+  #endif
+
+  #ifdef CV_INLINE_ISNAN_FLT
+    // user-specified version
+    // CV_INLINE_ISNAN_DBL should be defined too
+  #elif defined __PPC64__ && defined _ARCH_PWR9 && defined(scalar_test_data_class)
+    #define CV_INLINE_ISNAN_DBL(value) return scalar_test_data_class(value, 0x40);
+    #define CV_INLINE_ISNAN_FLT(value) CV_INLINE_ISNAN_DBL(value)
+  #endif
+
+  #if !defined(OPENCV_USE_FASTMATH_BUILTINS) \
+    && ( \
+        defined(__x86_64__) || defined(__i686__) \
+        || defined(__arm__) \
+        || defined(__PPC64__) \
+    )
+    /* Let builtin C math functions when available. Dedicated hardware is available to
+       round and convert FP values. */
+    #define OPENCV_USE_FASTMATH_BUILTINS 1
+  #endif
+
+  /* Enable builtin math functions if possible, desired, and available.
+     Note, not all math functions inline equally. E.g lrint will not inline
+     without the -fno-math-errno option. */
+  #if defined(CV_ICC)
+    // nothing
+  #elif defined(OPENCV_USE_FASTMATH_BUILTINS) && OPENCV_USE_FASTMATH_BUILTINS
+    #if defined(__clang__)
+      #define CV__FASTMATH_ENABLE_CLANG_MATH_BUILTINS
+      #if !defined(CV_INLINE_ISNAN_DBL) && __has_builtin(__builtin_isnan)
+        #define CV_INLINE_ISNAN_DBL(value) return __builtin_isnan(value);
+      #endif
+      #if !defined(CV_INLINE_ISNAN_FLT) && __has_builtin(__builtin_isnan)
+        #define CV_INLINE_ISNAN_FLT(value) return __builtin_isnan(value);
+      #endif
+      #if !defined(CV_INLINE_ISINF_DBL) && __has_builtin(__builtin_isinf)
+        #define CV_INLINE_ISINF_DBL(value) return __builtin_isinf(value);
+      #endif
+      #if !defined(CV_INLINE_ISINF_FLT) && __has_builtin(__builtin_isinf)
+        #define CV_INLINE_ISINF_FLT(value) return __builtin_isinf(value);
+      #endif
+    #elif defined(__GNUC__)
+      #define CV__FASTMATH_ENABLE_GCC_MATH_BUILTINS
+      #if !defined(CV_INLINE_ISNAN_DBL)
+        #define CV_INLINE_ISNAN_DBL(value) return __builtin_isnan(value);
+      #endif
+      #if !defined(CV_INLINE_ISNAN_FLT)
+        #define CV_INLINE_ISNAN_FLT(value) return __builtin_isnanf(value);
+      #endif
+      #if !defined(CV_INLINE_ISINF_DBL)
+        #define CV_INLINE_ISINF_DBL(value) return __builtin_isinf(value);
+      #endif
+      #if !defined(CV_INLINE_ISINF_FLT)
+        #define CV_INLINE_ISINF_FLT(value) return __builtin_isinff(value);
+      #endif
+    #elif defined(_MSC_VER)
+      #if !defined(CV_INLINE_ISNAN_DBL)
+        #define CV_INLINE_ISNAN_DBL(value) return isnan(value);
+      #endif
+      #if !defined(CV_INLINE_ISNAN_FLT)
+        #define CV_INLINE_ISNAN_FLT(value) return isnan(value);
+      #endif
+      #if !defined(CV_INLINE_ISINF_DBL)
+        #define CV_INLINE_ISINF_DBL(value) return isinf(value);
+      #endif
+      #if !defined(CV_INLINE_ISINF_FLT)
+        #define CV_INLINE_ISINF_FLT(value) return isinf(value);
+      #endif
+    #endif
+  #endif
+
+#endif // defined(__CUDACC__)

 /** @brief Rounds floating-point number to the nearest integer

@@ -96,8 +196,11 @@
 CV_INLINE int
 cvRound( double value )
 {
-#if ((defined _MSC_VER && defined _M_X64) || (defined __GNUC__ && defined __x86_64__ \
-    && defined __SSE2__ && !defined __APPLE__) || CV_SSE2) && !defined(__CUDACC__)
+#if defined CV_INLINE_ROUND_DBL
+    CV_INLINE_ROUND_DBL(value);
+#elif ((defined _MSC_VER && defined _M_X64) || (defined __GNUC__ && defined __x86_64__ \
+    && defined __SSE2__ && !defined __APPLE__) || CV_SSE2) \
+    && !defined(__CUDACC__)
    __m128d t = _mm_set_sd( value );
    return _mm_cvtsd_si32(t);
 #elif defined _MSC_VER && defined _M_IX86
@@ -109,11 +212,7 @@ cvRound( double value )
    }
    return t;
 #elif defined CV_ICC || defined __GNUC__
-# if defined ARM_ROUND_DBL
-    ARM_ROUND_DBL(value);
-# else
-    return (int)lrint(value);
-# endif
+    return (int)(lrint(value));
 #else
    /* it's ok if round does not comply with IEEE754 standard;
       the tests should allow +/-1 difference when the tested functions use round */
@@ -131,8 +230,15 @@ cvRound( double value )
 */
 CV_INLINE int cvFloor( double value )
 {
+#if (defined CV__FASTMATH_ENABLE_GCC_MATH_BUILTINS || defined CV__FASTMATH_ENABLE_CLANG_MATH_BUILTINS) \
+    && ( \
+        defined(__PPC64__) \
+    )
+    return __builtin_floor(value);
+#else
    int i = (int)value;
    return i - (i > value);
+#endif
 }

 /** @brief Rounds floating-point number to the nearest integer not smaller than the original.
@@ -144,8 +250,15 @@ CV_INLINE int cvFloor( double value )
 */
 CV_INLINE int cvCeil( double value )
 {
+#if (defined CV__FASTMATH_ENABLE_GCC_MATH_BUILTINS || defined CV__FASTMATH_ENABLE_CLANG_MATH_BUILTINS) \
+    && ( \
+        defined(__PPC64__) \
+    )
+    return __builtin_ceil(value);
+#else
    int i = (int)value;
    return i + (i < value);
+#endif
 }

 /** @brief Determines if the argument is Not A Number.
@@ -156,10 +269,14 @@ CV_INLINE int cvCeil( double value )
 otherwise. */
 CV_INLINE int cvIsNaN( double value )
 {
+#if defined CV_INLINE_ISNAN_DBL
+    CV_INLINE_ISNAN_DBL(value);
+#else
    Cv64suf ieee754;
    ieee754.f = value;
    return ((unsigned)(ieee754.u >> 32) & 0x7fffffff) +
           ((unsigned)ieee754.u != 0) > 0x7ff00000;
+#endif
 }

 /** @brief Determines if the argument is Infinity.
@@ -170,10 +287,19 @@ CV_INLINE int cvIsNaN( double value )
 and 0 otherwise. */
 CV_INLINE int cvIsInf( double value )
 {
+#if defined CV_INLINE_ISINF_DBL
+    CV_INLINE_ISINF_DBL(value);
+#elif defined(__x86_64__) || defined(_M_X64) || defined(__aarch64__) || defined(__PPC64__)
+    Cv64suf ieee754;
+    ieee754.f = value;
+    return (ieee754.u & 0x7fffffff00000000) ==
+                        0x7ff0000000000000;
+#else
    Cv64suf ieee754;
    ieee754.f = value;
    return ((unsigned)(ieee754.u >> 32) & 0x7fffffff) == 0x7ff00000 &&
            (unsigned)ieee754.u == 0;
+#endif
 }

 #ifdef __cplusplus
@@ -181,8 +307,11 @@ CV_INLINE int cvIsInf( double value )
 /** @overload */
 CV_INLINE int cvRound(float value)
 {
-#if ((defined _MSC_VER && defined _M_X64) || (defined __GNUC__ && defined __x86_64__ \
-    && defined __SSE2__ && !defined __APPLE__) || CV_SSE2) && !defined(__CUDACC__)
+#if defined CV_INLINE_ROUND_FLT
+    CV_INLINE_ROUND_FLT(value);
+#elif ((defined _MSC_VER && defined _M_X64) || (defined __GNUC__ && defined __x86_64__ \
+    && defined __SSE2__ && !defined __APPLE__) || CV_SSE2) \
+    && !defined(__CUDACC__)
    __m128 t = _mm_set_ss( value );
    return _mm_cvtss_si32(t);
 #elif defined _MSC_VER && defined _M_IX86
@@ -194,11 +323,7 @@ CV_INLINE int cvRound(float value)
    }
    return t;
 #elif defined CV_ICC || defined __GNUC__
-# if defined ARM_ROUND_FLT
-    ARM_ROUND_FLT(value);
-# else
-    return (int)lrintf(value);
-# endif
+    return (int)(lrintf(value));
 #else
    /* it's ok if round does not comply with IEEE754 standard;
     the tests should allow +/-1 difference when the tested functions use round */
@@ -215,8 +340,15 @@ CV_INLINE int cvRound( int value )
 /** @overload */
 CV_INLINE int cvFloor( float value )
 {
+#if (defined CV__FASTMATH_ENABLE_GCC_MATH_BUILTINS || defined CV__FASTMATH_ENABLE_CLANG_MATH_BUILTINS) \
+    && ( \
+        defined(__PPC64__) \
+    )
+    return __builtin_floorf(value);
+#else
    int i = (int)value;
    return i - (i > value);
+#endif
 }

 /** @overload */
@@ -228,8 +360,15 @@ CV_INLINE int cvFloor( int value )
 /** @overload */
 CV_INLINE int cvCeil( float value )
 {
+#if (defined CV__FASTMATH_ENABLE_GCC_MATH_BUILTINS || defined CV__FASTMATH_ENABLE_CLANG_MATH_BUILTINS) \
+    && ( \
+        defined(__PPC64__) \
+    )
+    return __builtin_ceilf(value);
+#else
    int i = (int)value;
    return i + (i < value);
+#endif
 }

 /** @overload */
@@ -241,17 +380,25 @@ CV_INLINE int cvCeil( int value )
 /** @overload */
 CV_INLINE int cvIsNaN( float value )
 {
+#if defined CV_INLINE_ISNAN_FLT
+    CV_INLINE_ISNAN_FLT(value);
+#else
    Cv32suf ieee754;
    ieee754.f = value;
    return (ieee754.u & 0x7fffffff) > 0x7f800000;
+#endif
 }

 /** @overload */
 CV_INLINE int cvIsInf( float value )
 {
+#if defined CV_INLINE_ISINF_FLT
+    CV_INLINE_ISINF_FLT(value);
+#else
    Cv32suf ieee754;
    ieee754.f = value;
    return (ieee754.u & 0x7fffffff) == 0x7f800000;
+#endif
 }

 #endif // __cplusplus
@@ -1231,19 +1231,16 @@ inline int v_signmask(const v_int16x16& a)
 inline int v_signmask(const v_uint16x16& a)
 { return v_signmask(v_reinterpret_as_s16(a)); }

-inline int v_signmask(const v_int32x8& a)
-{
-    v_int16x16 a16 = v_pack(a, a);
-    return v_signmask(v_pack(a16, a16)) & 0xFF;
-}
-inline int v_signmask(const v_uint32x8& a)
-{ return v_signmask(v_reinterpret_as_s32(a)); }
-
 inline int v_signmask(const v_float32x8& a)
 { return _mm256_movemask_ps(a.val); }
 inline int v_signmask(const v_float64x4& a)
 { return _mm256_movemask_pd(a.val); }

+inline int v_signmask(const v_int32x8& a)
+{ return v_signmask(v_reinterpret_as_f32(a)); }
+inline int v_signmask(const v_uint32x8& a)
+{ return v_signmask(v_reinterpret_as_f32(a)); }
+
 inline int v_scan_forward(const v_int8x32& a) { return trailingZeros32(v_signmask(v_reinterpret_as_s8(a))); }
 inline int v_scan_forward(const v_uint8x32& a) { return trailingZeros32(v_signmask(v_reinterpret_as_s8(a))); }
 inline int v_scan_forward(const v_int16x16& a) { return trailingZeros32(v_signmask(v_reinterpret_as_s8(a))) / 2; }
@@ -1270,10 +1267,10 @@ inline int v_scan_forward(const v_float64x4& a) { return trailingZeros32(v_signm

 OPENCV_HAL_IMPL_AVX_CHECK(v_uint8x32,  OPENCV_HAL_1ST, -1)
 OPENCV_HAL_IMPL_AVX_CHECK(v_int8x32,   OPENCV_HAL_1ST, -1)
-OPENCV_HAL_IMPL_AVX_CHECK(v_uint16x16, OPENCV_HAL_AND, (int)0xaaaa)
-OPENCV_HAL_IMPL_AVX_CHECK(v_int16x16,  OPENCV_HAL_AND, (int)0xaaaa)
-OPENCV_HAL_IMPL_AVX_CHECK(v_uint32x8,  OPENCV_HAL_AND, (int)0x8888)
-OPENCV_HAL_IMPL_AVX_CHECK(v_int32x8,   OPENCV_HAL_AND, (int)0x8888)
+OPENCV_HAL_IMPL_AVX_CHECK(v_uint16x16, OPENCV_HAL_AND, (int)0xaaaaaaaa)
+OPENCV_HAL_IMPL_AVX_CHECK(v_int16x16,  OPENCV_HAL_AND, (int)0xaaaaaaaa)
+OPENCV_HAL_IMPL_AVX_CHECK(v_uint32x8,  OPENCV_HAL_AND, (int)0x88888888)
+OPENCV_HAL_IMPL_AVX_CHECK(v_int32x8,   OPENCV_HAL_AND, (int)0x88888888)

 #define OPENCV_HAL_IMPL_AVX_CHECK_FLT(_Tpvec, allmask) \
    inline bool v_check_all(const _Tpvec& a)           \
@@ -76,7 +76,7 @@ implemented as a structure based on a one SIMD register.
 - cv::v_uint32x4 and cv::v_int32x4: four 32-bit integer values (unsgined/signed) - int
 - cv::v_uint64x2 and cv::v_int64x2: two 64-bit integer values (unsigned/signed) - int64
 - cv::v_float32x4: four 32-bit floating point values (signed) - float
- cv::v_float64x2: two 64-bit floating point valies (signed) - double
+- cv::v_float64x2: two 64-bit floating point values (signed) - double

@note
 cv::v_float64x2 is not implemented in NEON variant, if you want to use this type, don't forget to
@@ -764,10 +764,10 @@ inline scalartype v_reduce_##suffix(const _Tpvec& a)
    rs = func(rs, vec_sld(rs, rs, 2));                                             \
    return vec_extract(func(rs, vec_sld(rs, rs, 1)), 0);                           \
 }
-OPENCV_HAL_IMPL_VSX_REDUCE_OP_8(v_uint8x16, vec_uchar16, uchar, max, vec_max)
-OPENCV_HAL_IMPL_VSX_REDUCE_OP_8(v_uint8x16, vec_uchar16, uchar, min, vec_min)
-OPENCV_HAL_IMPL_VSX_REDUCE_OP_8(v_int8x16, vec_char16, schar, max, vec_max)
-OPENCV_HAL_IMPL_VSX_REDUCE_OP_8(v_int8x16, vec_char16, schar, min, vec_min)
+OPENCV_HAL_IMPL_VSX_REDUCE_OP_16(v_uint8x16, vec_uchar16, uchar, max, vec_max)
+OPENCV_HAL_IMPL_VSX_REDUCE_OP_16(v_uint8x16, vec_uchar16, uchar, min, vec_min)
+OPENCV_HAL_IMPL_VSX_REDUCE_OP_16(v_int8x16, vec_char16, schar, max, vec_max)
+OPENCV_HAL_IMPL_VSX_REDUCE_OP_16(v_int8x16, vec_char16, schar, min, vec_min)

 inline v_float32x4 v_reduce_sum4(const v_float32x4& a, const v_float32x4& b,
                                 const v_float32x4& c, const v_float32x4& d)
@@ -845,36 +845,24 @@ inline v_uint64x2 v_popcount(const v_int64x2& a)
 /** Mask **/
 inline int v_signmask(const v_uint8x16& a)
 {
-    vec_uchar16 sv  = vec_sr(a.val, vec_uchar16_sp(7));
-    static const vec_uchar16 slm = {0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7};
-    sv = vec_sl(sv, slm);
-    vec_uint4 sv4 = vec_sum4s(sv, vec_uint4_z);
-    static const vec_uint4 slm4 = {0, 0, 8, 8};
-    sv4 = vec_sl(sv4, slm4);
-    return vec_extract(vec_sums((vec_int4) sv4, vec_int4_z), 3);
+    static const vec_uchar16 qperm = {120, 112, 104, 96, 88, 80, 72, 64, 56, 48, 40, 32, 24, 16, 8, 0};
+    return vec_extract((vec_int4)vec_vbpermq(v_reinterpret_as_u8(a).val, qperm), 2);
 }
 inline int v_signmask(const v_int8x16& a)
 { return v_signmask(v_reinterpret_as_u8(a)); }

 inline int v_signmask(const v_int16x8& a)
 {
-    static const vec_ushort8 slm = {0, 1, 2, 3, 4, 5, 6, 7};
-    vec_short8 sv = vec_sr(a.val, vec_ushort8_sp(15));
-    sv = vec_sl(sv, slm);
-    vec_int4 svi = vec_int4_z;
-    svi = vec_sums(vec_sum4s(sv, svi), svi);
-    return vec_extract(svi, 3);
+    static const vec_uchar16 qperm = {112, 96, 80, 64, 48, 32, 16, 0, 128, 128, 128, 128, 128, 128, 128, 128};
+    return vec_extract((vec_int4)vec_vbpermq(v_reinterpret_as_u8(a).val, qperm), 2);
 }
 inline int v_signmask(const v_uint16x8& a)
 { return v_signmask(v_reinterpret_as_s16(a)); }

 inline int v_signmask(const v_int32x4& a)
 {
-    static const vec_uint4 slm = {0, 1, 2, 3};
-    vec_int4 sv = vec_sr(a.val, vec_uint4_sp(31));
-    sv = vec_sl(sv, slm);
-    sv = vec_sums(sv, vec_int4_z);
-    return vec_extract(sv, 3);
+    static const vec_uchar16 qperm = {96, 64, 32, 0, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128, 128};
+    return vec_extract((vec_int4)vec_vbpermq(v_reinterpret_as_u8(a).val, qperm), 2);
 }
 inline int v_signmask(const v_uint32x4& a)
 { return v_signmask(v_reinterpret_as_s32(a)); }
@@ -1051,6 +1039,15 @@ inline v_float64x2 v_cvt_f64(const v_float32x4& a)
 inline v_float64x2 v_cvt_f64_high(const v_float32x4& a)
 { return v_float64x2(vec_cvfo(vec_mergel(a.val, a.val))); }

+// The altivec intrinsic is missing for this 2.06 insn
+inline v_float64x2 v_cvt_f64(const v_int64x2& a)
+{
+vec_double2 out;
+
+__asm__ ("xvcvsxddp %x0,%x1" : "=wa"(out) : "wa"(a.val));
+return v_float64x2(out);
+}
+
 ////////////// Lookup table access ////////////////////

 inline v_int8x16 v_lut(const schar* tab, const int* idx)
@@ -1284,7 +1281,7 @@ inline v_float32x4 v_load_expand(const float16_t* ptr)

 inline void v_pack_store(float16_t* ptr, const v_float32x4& v)
 {
-// fixme: Is there any buitin op or intrinsic that cover "xvcvsphp"?
+// fixme: Is there any builtin op or intrinsic that cover "xvcvsphp"?
 #if CV_VSX3 && !defined(CV_COMPILER_VSX_BROKEN_ASM)
    vec_ushort8 vf16;
    __asm__ __volatile__ ("xvcvsphp %x0,%x1" : "=wa" (vf16) : "wf" (v.val));
@@ -29,7 +29,7 @@ Using this approach OpenCV provides some basic low level functionality for exter

 typedef enum cvResult
 {
-    CV_ERROR_FAIL = -1,                          //!< Some error occured (TODO Require to fill exception information)
+    CV_ERROR_FAIL = -1,                          //!< Some error occurred (TODO Require to fill exception information)
    CV_ERROR_OK = 0                              //!< No error
 } CvResult;

@@ -151,7 +151,7 @@ number of components (vectors/matrices) of the outer vector.

 In general, type support is limited to cv::Mat types. Other types are forbidden.
 But in some cases we need to support passing of custom non-general Mat types, like arrays of cv::KeyPoint, cv::DMatch, etc.
-This data is not intented to be interpreted as an image data, or processed somehow like regular cv::Mat.
+This data is not intended to be interpreted as an image data, or processed somehow like regular cv::Mat.
 To pass such custom type use rawIn() / rawOut() / rawInOut() wrappers.
 Custom type is wrapped as Mat-compatible `CV_8UC<N>` values (N = sizeof(T), N <= CV_CN_MAX).
 */
@@ -2380,7 +2380,7 @@ public:
    // (_type is CV_8UC1, CV_64FC3, CV_32SC(12) etc.)
    UMat(int rows, int cols, int type, UMatUsageFlags usageFlags = USAGE_DEFAULT);
    UMat(Size size, int type, UMatUsageFlags usageFlags = USAGE_DEFAULT);
-    //! constucts 2D matrix and fills it with the specified value _s.
+    //! constructs 2D matrix and fills it with the specified value _s.
    UMat(int rows, int cols, int type, const Scalar& s, UMatUsageFlags usageFlags = USAGE_DEFAULT);
    UMat(Size size, int type, const Scalar& s, UMatUsageFlags usageFlags = USAGE_DEFAULT);

@@ -2825,7 +2825,7 @@ public:

     `ref<_Tp>(i0,...[,hashval])` is equivalent to `*(_Tp*)ptr(i0,...,true[,hashval])`.
     The methods always return a valid reference.
-     If the element did not exist, it is created and initialiazed with 0.
+     If the element did not exist, it is created and initialized with 0.
    */
    //! returns reference to the specified element (1D case)
    template<typename _Tp> _Tp& ref(int i0, size_t* hashval=0);
@@ -1699,6 +1699,11 @@ Mat_<_Tp>::Mat_(const std::array<_Tp, _Nm>& arr, bool copyData)
 template<typename _Tp> inline
 Mat_<_Tp>& Mat_<_Tp>::operator = (const Mat& m)
 {
+    if (m.empty())
+    {
+        release();
+        return *this;
+    }
    if( traits::Type<_Tp>::value == m.type() )
    {
        Mat::operator = (m);
@@ -1764,7 +1769,7 @@ Mat_<_Tp> Mat_<_Tp>::cross(const Mat_& m) const
 template<typename _Tp> template<typename T2> inline
 Mat_<_Tp>::operator Mat_<T2>() const
 {
-    return Mat_<T2>(*this);
+    return Mat_<T2>(static_cast<const Mat&>(*this));
 }

 template<typename _Tp> inline
@@ -2054,7 +2059,7 @@ void Mat_<_Tp>::forEach(const Functor& operation) const {

 template<typename _Tp> inline
 Mat_<_Tp>::Mat_(Mat_&& m)
-    : Mat(m)
+    : Mat(std::move(m))
 {
 }

@@ -2070,12 +2075,17 @@ Mat_<_Tp>::Mat_(Mat&& m)
    : Mat()
 {
    flags = (flags & ~CV_MAT_TYPE_MASK) + traits::Type<_Tp>::value;
-    *this = m;
+    *this = std::move(m);
 }

 template<typename _Tp> inline
 Mat_<_Tp>& Mat_<_Tp>::operator = (Mat&& m)
 {
+    if (m.empty())
+    {
+        release();
+        return *this;
+    }
    if( traits::Type<_Tp>::value == m.type() )
    {
        Mat::operator = ((Mat&&)m);
@@ -27,7 +27,7 @@ These files can be pre-generated for target configurations of your application
 or generated by CMake on the fly (use CMAKE_BINARY_DIR for that).

 Notes:
- H/W capability checks are still responsibility of your applcation
+- H/W capability checks are still responsibility of your application
 - runtime dispatching is not covered by this helper header
 */

@@ -507,8 +507,8 @@ Special cases:
 */
 CV_EXPORTS softdouble cos( const softdouble& a );

-}
+//! @} core_utils_softfloat

-//! @}
+} // cv::

 #endif
@@ -49,8 +49,8 @@ public:
    void lock(); //< acquire exclusive (writer) lock
    void unlock(); //< release exclusive (writer) lock

-    void lock_shared(); //< acquire sharable (reader) lock
-    void unlock_shared(); //< release sharable (reader) lock
+    void lock_shared(); //< acquire shareable (reader) lock
+    void unlock_shared(); //< release shareable (reader) lock

    struct Impl;
 protected:
@@ -12,15 +12,13 @@
 #include "logger.defines.hpp"
 #include "logtag.hpp"

-//! @addtogroup core_logging
-// This section describes OpenCV logging utilities.
-//
-//! @{
-
 namespace cv {
 namespace utils {
 namespace logging {

+//! @addtogroup core_logging
+//! @{
+
 /** Set global logging level
@return previous logging level
 */
@@ -148,8 +146,8 @@ struct LogTagAuto
 # define CV_LOG_VERBOSE(tag, v, ...)
 #endif

-}}} // namespace
-
 //! @}

+}}} // namespace
+
 #endif // OPENCV_LOGGER_HPP
@@ -7,15 +7,13 @@

 #include <opencv2/core/cvdef.h>

-//! @addtogroup core_logging
-// This section describes OpenCV tracing utilities.
-//
-//! @{
-
 namespace cv {
 namespace utils {
 namespace trace {

+//! @addtogroup core_logging
+//! @{
+
 //! Macro to trace function
 #define CV_TRACE_FUNCTION()

@@ -247,8 +245,8 @@ CV_EXPORTS void traceArg(const TraceArg& arg, double value);

 //! @endcond

-}}} // namespace
-
 //! @}

+}}} // namespace
+
 #endif // OPENCV_TRACE_HPP
--- a/Show More
+++ b/Show More
				`@@ -0,0 +1 @@`
				`include("${CMAKE_CURRENT_LIST_DIR}/OpenCV_WinRT.cmake")`