Merge branch 2.4
This commit is contained in:
commit
962884cdec
@ -458,7 +458,7 @@ if(BUILD_EXAMPLES OR BUILD_ANDROID_EXAMPLES OR INSTALL_PYTHON_EXAMPLES)
|
||||
add_subdirectory(samples)
|
||||
endif()
|
||||
|
||||
if(BUILD_ANDROID_SERVICE)
|
||||
if(ANDROID)
|
||||
add_subdirectory(android/service)
|
||||
endif()
|
||||
|
||||
|
@ -280,6 +280,9 @@
|
||||
# - November 2012
|
||||
# [+] updated for NDK r8c
|
||||
# [+] added support for clang compiler
|
||||
# - December 2012
|
||||
# [~] fixed ccache full path search
|
||||
# [+] updated for NDK r8d
|
||||
# ------------------------------------------------------------------------------
|
||||
|
||||
cmake_minimum_required( VERSION 2.6.3 )
|
||||
@ -302,7 +305,7 @@ set( CMAKE_SYSTEM_VERSION 1 )
|
||||
# rpath makes low sence for Android
|
||||
set( CMAKE_SKIP_RPATH TRUE CACHE BOOL "If set, runtime paths are not added when using shared libraries." )
|
||||
|
||||
set( ANDROID_SUPPORTED_NDK_VERSIONS ${ANDROID_EXTRA_NDK_VERSIONS} -r8c -r8b -r8 -r7c -r7b -r7 -r6b -r6 -r5c -r5b -r5 "" )
|
||||
set( ANDROID_SUPPORTED_NDK_VERSIONS ${ANDROID_EXTRA_NDK_VERSIONS} -r8d -r8c -r8b -r8 -r7c -r7b -r7 -r6b -r6 -r5c -r5b -r5 "" )
|
||||
if(NOT DEFINED ANDROID_NDK_SEARCH_PATHS)
|
||||
if( CMAKE_HOST_WIN32 )
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||||
file( TO_CMAKE_PATH "$ENV{PROGRAMFILES}" ANDROID_NDK_SEARCH_PATHS )
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||||
@ -962,7 +965,11 @@ if( BUILD_WITH_ANDROID_NDK )
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||||
set( ANDROID_STL_INCLUDE_DIRS "${ANDROID_NDK}/sources/cxx-stl/gabi++/include" )
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||||
set( __libstl "${ANDROID_NDK}/sources/cxx-stl/gabi++/libs/${ANDROID_NDK_ABI_NAME}/libgabi++_static.a" )
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||||
elseif( ANDROID_STL MATCHES "stlport" )
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||||
set( ANDROID_EXCEPTIONS OFF )
|
||||
if( NOT ANDROID_NDK_RELEASE STRLESS "r8d" )
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||||
set( ANDROID_EXCEPTIONS ON )
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||||
else()
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||||
set( ANDROID_EXCEPTIONS OFF )
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||||
endif()
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||||
if( ANDROID_NDK_RELEASE STRLESS "r7" )
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||||
set( ANDROID_RTTI OFF )
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||||
else()
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||||
@ -974,7 +981,13 @@ if( BUILD_WITH_ANDROID_NDK )
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||||
set( ANDROID_EXCEPTIONS ON )
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||||
set( ANDROID_RTTI ON )
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||||
if( EXISTS "${ANDROID_NDK}/sources/cxx-stl/gnu-libstdc++/${ANDROID_COMPILER_VERSION}" )
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||||
set( __libstl "${ANDROID_NDK}/sources/cxx-stl/gnu-libstdc++/${ANDROID_COMPILER_VERSION}" )
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||||
if( ARMEABI_V7A AND ANDROID_COMPILER_VERSION VERSION_EQUAL "4.7" AND ANDROID_NDK_RELEASE STREQUAL "r8d" )
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||||
# gnustl binary for 4.7 compiler is buggy :(
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||||
# TODO: look for right fix
|
||||
set( __libstl "${ANDROID_NDK}/sources/cxx-stl/gnu-libstdc++/4.6" )
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||||
else()
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||||
set( __libstl "${ANDROID_NDK}/sources/cxx-stl/gnu-libstdc++/${ANDROID_COMPILER_VERSION}" )
|
||||
endif()
|
||||
else()
|
||||
set( __libstl "${ANDROID_NDK}/sources/cxx-stl/gnu-libstdc++" )
|
||||
endif()
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||||
@ -1031,6 +1044,9 @@ endif()
|
||||
# ccache support
|
||||
__INIT_VARIABLE( _ndk_ccache NDK_CCACHE ENV_NDK_CCACHE )
|
||||
if( _ndk_ccache )
|
||||
if( DEFINED NDK_CCACHE AND NOT EXISTS NDK_CCACHE )
|
||||
unset( NDK_CCACHE CACHE )
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||||
endif()
|
||||
find_program( NDK_CCACHE "${_ndk_ccache}" DOC "The path to ccache binary")
|
||||
else()
|
||||
unset( NDK_CCACHE CACHE )
|
||||
@ -1260,7 +1276,7 @@ endif()
|
||||
if( ANDROID_COMPILER_VERSION VERSION_EQUAL "4.6" )
|
||||
if( ANDROID_GOLD_LINKER AND (CMAKE_HOST_UNIX OR ANDROID_NDK_RELEASE STRGREATER "r8b") AND (ARMEABI OR ARMEABI_V7A OR X86) )
|
||||
set( ANDROID_LINKER_FLAGS "${ANDROID_LINKER_FLAGS} -fuse-ld=gold" )
|
||||
elseif( ANDROID_NDK_RELEASE STREQUAL "r8c")
|
||||
elseif( ANDROID_NDK_RELEASE STRGREATER "r8b")
|
||||
set( ANDROID_LINKER_FLAGS "${ANDROID_LINKER_FLAGS} -fuse-ld=bfd" )
|
||||
elseif( ANDROID_NDK_RELEASE STREQUAL "r8b" AND ARMEABI AND NOT _CMAKE_IN_TRY_COMPILE )
|
||||
message( WARNING "The default bfd linker from arm GCC 4.6 toolchain can fail with 'unresolvable R_ARM_THM_CALL relocation' error message. See https://code.google.com/p/android/issues/detail?id=35342
|
||||
@ -1520,7 +1536,7 @@ endif()
|
||||
# BUILD_WITH_STANDALONE_TOOLCHAIN : TRUE if standalone toolchain is used
|
||||
# ANDROID_NDK_HOST_SYSTEM_NAME : "windows", "linux-x86" or "darwin-x86" depending on host platform
|
||||
# ANDROID_NDK_ABI_NAME : "armeabi", "armeabi-v7a", "x86" or "mips" depending on ANDROID_ABI
|
||||
# ANDROID_NDK_RELEASE : one of r5, r5b, r5c, r6, r6b, r7, r7b, r7c, r8, r8b, r8c; set only for NDK
|
||||
# ANDROID_NDK_RELEASE : one of r5, r5b, r5c, r6, r6b, r7, r7b, r7c, r8, r8b, r8c, r8d; set only for NDK
|
||||
# ANDROID_ARCH_NAME : "arm" or "x86" or "mips" depending on ANDROID_ABI
|
||||
# ANDROID_SYSROOT : path to the compiler sysroot
|
||||
# TOOL_OS_SUFFIX : "" or ".exe" depending on host platform
|
||||
|
@ -1,2 +1,6 @@
|
||||
add_subdirectory(engine)
|
||||
#add_subdirectory(engine_test)
|
||||
if(BUILD_ANDROID_SERVICE)
|
||||
add_subdirectory(engine)
|
||||
#add_subdirectory(engine_test)
|
||||
endif()
|
||||
|
||||
install(FILES "readme.txt" DESTINATION "apk/" COMPONENT main)
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||||
|
@ -1,22 +0,0 @@
|
||||
***************
|
||||
Package Content
|
||||
***************
|
||||
|
||||
The package provides new OpenCV SDK that uses OpenCV Manager for library initialization. OpenCV Manager provides the following benefits:
|
||||
|
||||
* Less memory usage. All apps use the same binaries from service and do not keep native libs inside them self;
|
||||
* Hardware specific optimizations for all supported platforms;
|
||||
* Trusted OpenCV library source. All packages with OpenCV are published on Google Play service;
|
||||
* Regular updates and bug fixes;
|
||||
|
||||
Package consists from Library Project for Java development with Eclipse, C++ headers and libraries for native application development, javadoc samples and prebuilt binaries for ARM and X86 platforms.
|
||||
To try new SDK on serial device with Google Play just install sample package and follow application messages (Google Play service access will be needed).
|
||||
TO start example on device without Google Play you need to install OpenCV manager package and OpenCV binary pack for your platform from apk folder before.
|
||||
See docs/doc/tutorials/introduction/android_binary_package/android_binary_package.html and docs/android/refmain.html for details about service.
|
||||
On-line documentation will be available at address: http://docs.opencv.org/trunk
|
||||
|
||||
********
|
||||
Contacts
|
||||
********
|
||||
|
||||
Please send all feedback to Alexander Smorkalov mailto: alexander.smorkalov@itseez.com
|
@ -1,6 +1,40 @@
|
||||
*******************************************
|
||||
Manager Workflow
|
||||
*******************************************
|
||||
****************
|
||||
|
||||
.. _manager_selection:
|
||||
|
||||
OpenCV Manager selection
|
||||
------------------------
|
||||
|
||||
Since version 1.7 several packages of OpenCV Manager is built. Every package includes OpenCV library
|
||||
for package target platform. The internal library is used for most cases, except the rare one, when
|
||||
arm-v7a without NEON instruction set processor is detected. In this case additional binary package
|
||||
for arm-v7a is used. The new package selection logic in most cases simplifies OpenCV installation
|
||||
on end user devices. In most cases OpenCV Manager may be installed automatically from Google Play.
|
||||
For such case, when Google Play is not available, i.e. emulator, developer board, etc, you can
|
||||
install it manually using adb tool.
|
||||
|
||||
.. code-block:: sh
|
||||
:linenos:
|
||||
|
||||
adb install OpenCV-2.4.3-android-sdk/apk/OpenCV_2.4.3_Manager_2.0_<platform_name>.apk
|
||||
|
||||
Use table to determine right OpenCV Manager package:
|
||||
|
||||
+----------------------------+-----------------+-----------------------------------------------------+
|
||||
| Hardware Platform | Android version | Package name |
|
||||
+============================+=================+=====================================================+
|
||||
| Intel x86 | >= 2.3 | OpenCV_2.4.3_Manager_2.0_x86.apk |
|
||||
+----------------------------+-----------------+-----------------------------------------------------+
|
||||
| MIPS | >= 2.3 | OpenCV_2.4.3_Manager_2.0_mips.apk |
|
||||
+----------------------------+-----------------+-----------------------------------------------------+
|
||||
| armeabi (arm-v5, arm-v6) | >= 2.3 | OpenCV_2.4.3_Manager_2.0_armeabi.apk |
|
||||
+----------------------------+-----------------+-----------------------------------------------------+
|
||||
| armeabi-v7a (arm-v7a-NEON) | >= 2.3 | OpenCV_2.4.3_Manager_2.0_armv7a-neon.apk |
|
||||
+----------------------------+-----------------+-----------------------------------------------------+
|
||||
| armeabi-v7a (arm-v7a-NEON) | 2.2 | OpenCV_2.4.3.1_Manager_2.3_armv7a-neon-android8.apk |
|
||||
+----------------------------+-----------------+-----------------------------------------------------+
|
||||
|
||||
|
||||
First application start
|
||||
-----------------------
|
||||
@ -9,10 +43,10 @@ There is no OpenCV Manager or OpenCV libraries:
|
||||
|
||||
.. image:: img/NoService.png
|
||||
|
||||
Aditional library package installation
|
||||
--------------------------------------
|
||||
Additional library package installation
|
||||
---------------------------------------
|
||||
|
||||
There is an OpenCV Manager service, but there is no apropriate OpenCV library.
|
||||
There is an OpenCV Manager service, but it does not contain appropriate OpenCV library.
|
||||
If OpenCV library installation has been approved\:
|
||||
|
||||
.. image:: img/LibInstallAproved.png
|
||||
|
@ -130,7 +130,7 @@ android::String16 OpenCVEngine::GetLibraryList(android::String16 version)
|
||||
LOGD("Trying to load info library \"%s\"", tmp.c_str());
|
||||
|
||||
void* handle;
|
||||
const char* (*info_func)();
|
||||
InfoFunctionType info_func;
|
||||
|
||||
handle = dlopen(tmp.c_str(), RTLD_LAZY);
|
||||
if (handle)
|
||||
@ -138,7 +138,7 @@ android::String16 OpenCVEngine::GetLibraryList(android::String16 version)
|
||||
const char* error;
|
||||
|
||||
dlerror();
|
||||
*(void **) (&info_func) = dlsym(handle, "GetLibraryList");
|
||||
info_func = (InfoFunctionType)dlsym(handle, "GetLibraryList");
|
||||
if ((error = dlerror()) == NULL)
|
||||
{
|
||||
result = String16((*info_func)());
|
||||
|
@ -24,12 +24,12 @@ JNIEXPORT jlong JNICALL Java_org_opencv_engine_OpenCVLibraryInfo_open
|
||||
JNIEXPORT jstring JNICALL Java_org_opencv_engine_OpenCVLibraryInfo_getPackageName
|
||||
(JNIEnv* env, jobject, jlong handle)
|
||||
{
|
||||
const char* (*info_func)();
|
||||
InfoFunctionType info_func;
|
||||
const char* result;
|
||||
const char* error;
|
||||
|
||||
dlerror();
|
||||
*(void **) (&info_func) = dlsym((void*)handle, "GetPackageName");
|
||||
info_func = (InfoFunctionType)dlsym((void*)handle, "GetPackageName");
|
||||
if ((error = dlerror()) == NULL)
|
||||
result = (*info_func)();
|
||||
else
|
||||
@ -44,12 +44,12 @@ JNIEXPORT jstring JNICALL Java_org_opencv_engine_OpenCVLibraryInfo_getPackageNam
|
||||
JNIEXPORT jstring JNICALL Java_org_opencv_engine_OpenCVLibraryInfo_getLibraryList
|
||||
(JNIEnv* env, jobject, jlong handle)
|
||||
{
|
||||
const char* (*info_func)();
|
||||
InfoFunctionType info_func;
|
||||
const char* result;
|
||||
const char* error;
|
||||
|
||||
dlerror();
|
||||
*(void **) (&info_func) = dlsym((void*)handle, "GetLibraryList");
|
||||
info_func = (InfoFunctionType)dlsym((void*)handle, "GetLibraryList");
|
||||
if ((error = dlerror()) == NULL)
|
||||
result = (*info_func)();
|
||||
else
|
||||
@ -64,12 +64,12 @@ JNIEXPORT jstring JNICALL Java_org_opencv_engine_OpenCVLibraryInfo_getLibraryLis
|
||||
JNIEXPORT jstring JNICALL Java_org_opencv_engine_OpenCVLibraryInfo_getVersionName
|
||||
(JNIEnv* env, jobject, jlong handle)
|
||||
{
|
||||
const char* (*info_func)();
|
||||
InfoFunctionType info_func;
|
||||
const char* result;
|
||||
const char* error;
|
||||
|
||||
dlerror();
|
||||
*(void **) (&info_func) = dlsym((void*)handle, "GetRevision");
|
||||
info_func = (InfoFunctionType)dlsym((void*)handle, "GetRevision");
|
||||
if ((error = dlerror()) == NULL)
|
||||
result = (*info_func)();
|
||||
else
|
||||
|
@ -134,7 +134,7 @@ bool CommonPackageManager::IsVersionCompatible(const std::string& target_version
|
||||
// major version is the same and minor package version is above or the same as target.
|
||||
if ((package_version[0] == target_version[0]) && (package_version[1] == target_version[1]) && (package_version[2] >= target_version[2]))
|
||||
{
|
||||
result = true;
|
||||
result = true;
|
||||
}
|
||||
|
||||
return result;
|
||||
@ -144,13 +144,21 @@ int CommonPackageManager::GetHardwareRating(int platform, int cpu_id, const std:
|
||||
{
|
||||
int result = -1;
|
||||
|
||||
for (size_t i = 0; i < group.size(); i++)
|
||||
if ((cpu_id & ARCH_X86) || (cpu_id & ARCH_X64) || (cpu_id & ARCH_MIPS))
|
||||
// Note: No raiting for x86, x64 and MIPS
|
||||
// only one package is used
|
||||
result = 0;
|
||||
else
|
||||
{
|
||||
if (group[i] == std::pair<int, int>(platform, cpu_id))
|
||||
{
|
||||
result = i;
|
||||
break;
|
||||
}
|
||||
// Calculate rating for Arm
|
||||
for (size_t i = 0; i < group.size(); i++)
|
||||
{
|
||||
if (group[i] == std::pair<int, int>(platform, cpu_id))
|
||||
{
|
||||
result = i;
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return result;
|
||||
|
@ -342,8 +342,8 @@ InstallPath(install_path)
|
||||
LOGD("Trying to load info library \"%s\"", tmp.c_str());
|
||||
|
||||
void* handle;
|
||||
const char* (*name_func)();
|
||||
const char* (*revision_func)();
|
||||
InfoFunctionType name_func;
|
||||
InfoFunctionType revision_func;
|
||||
|
||||
handle = dlopen(tmp.c_str(), RTLD_LAZY);
|
||||
if (handle)
|
||||
@ -351,8 +351,8 @@ InstallPath(install_path)
|
||||
const char* error;
|
||||
|
||||
dlerror();
|
||||
*(void **) (&name_func) = dlsym(handle, "GetPackageName");
|
||||
*(void **) (&revision_func) = dlsym(handle, "GetRevision");
|
||||
name_func = (InfoFunctionType)dlsym(handle, "GetPackageName");
|
||||
revision_func = (InfoFunctionType)dlsym(handle, "GetRevision");
|
||||
error = dlerror();
|
||||
|
||||
if (!error && revision_func && name_func)
|
||||
|
@ -17,4 +17,6 @@
|
||||
// Class name of OpenCV engine binder object. Is needned for connection to service
|
||||
#define OPECV_ENGINE_CLASSNAME "org.opencv.engine.OpenCVEngineInterface"
|
||||
|
||||
typedef const char* (*InfoFunctionType)();
|
||||
|
||||
#endif
|
28
android/service/readme.txt
Normal file
28
android/service/readme.txt
Normal file
@ -0,0 +1,28 @@
|
||||
OpenCV Manager selection
|
||||
========================
|
||||
|
||||
Since version 1.7 several packages of OpenCV Manager is built. Every package includes OpenCV library
|
||||
for package target platform. The internal library is used for most cases, except the rare one, when
|
||||
arm-v7a without NEON instruction set processor is detected. In this case additional binary package
|
||||
for arm-v7a is used. The new package selection logic in most cases simplifies OpenCV installation
|
||||
on end user devices. In most cases OpenCV Manager may be installed automatically from Google Play.
|
||||
For such case, when Google Play is not available, i.e. emulator, developer board, etc, you can
|
||||
install it manually using adb tool:
|
||||
|
||||
adb install OpenCV-2.4.3-android-sdk/apk/OpenCV_2.4.3.2_Manager_2.4_<platform_name>.apk
|
||||
|
||||
Use table to determine right OpenCV Manager package:
|
||||
|
||||
+----------------------------+-----------------+-----------------------------------------------------+
|
||||
| Hardware Platform | Android version | Package name |
|
||||
+============================+=================+=====================================================+
|
||||
| Intel x86 | >= 2.3 | OpenCV_2.4.3.2_Manager_2.4_x86.apk |
|
||||
+----------------------------+-----------------+-----------------------------------------------------+
|
||||
| MIPS | >= 2.3 | OpenCV_2.4.3.2_Manager_2.4_mips.apk |
|
||||
+----------------------------+-----------------+-----------------------------------------------------+
|
||||
| armeabi (arm-v5, arm-v6) | >= 2.3 | OpenCV_2.4.3.2_Manager_2.4_armeabi.apk |
|
||||
+----------------------------+-----------------+-----------------------------------------------------+
|
||||
| armeabi-v7a (arm-v7a-NEON) | >= 2.3 | OpenCV_2.4.3.2_Manager_2.4_armv7a-neon.apk |
|
||||
+----------------------------+-----------------+-----------------------------------------------------+
|
||||
| armeabi-v7a (arm-v7a-NEON) | 2.2 | OpenCV_2.4.3.2_Manager_2.4_armv7a-neon-android8.apk |
|
||||
+----------------------------+-----------------+-----------------------------------------------------+
|
@ -19,7 +19,7 @@ IF(CMAKE_COMPILER_IS_GNUCXX)
|
||||
ARGS ${CMAKE_CXX_COMPILER_ARG1} -dumpversion
|
||||
OUTPUT_VARIABLE gcc_compiler_version)
|
||||
#MESSAGE("GCC Version: ${gcc_compiler_version}")
|
||||
IF(gcc_compiler_version MATCHES "4\\.[0,2-9]\\.[0-9x]")
|
||||
IF(gcc_compiler_version VERSION_GREATER "4.2.-1")
|
||||
SET(PCHSupport_FOUND TRUE)
|
||||
ENDIF()
|
||||
|
||||
|
@ -85,7 +85,7 @@ This tutorial code's is shown lines below. You can also download it from `here <
|
||||
for( int i = 0; i < contours.size(); i++ )
|
||||
{ approxPolyDP( Mat(contours[i]), contours_poly[i], 3, true );
|
||||
boundRect[i] = boundingRect( Mat(contours_poly[i]) );
|
||||
minEnclosingCircle( contours_poly[i], center[i], radius[i] );
|
||||
minEnclosingCircle( (Mat)contours_poly[i], center[i], radius[i] );
|
||||
}
|
||||
|
||||
|
||||
|
@ -50,8 +50,8 @@ The structure of package contents looks as follows:
|
||||
|
||||
OpenCV-2.4.3-android-sdk
|
||||
|_ apk
|
||||
| |_ OpenCV_2.4.3_binary_pack_XXX.apk
|
||||
| |_ OpenCV_2.4.3_Manager.apk
|
||||
| |_ OpenCV_2.4.3_binary_pack_armv7a.apk
|
||||
| |_ OpenCV_2.4.3_Manager_2.0_XXX.apk
|
||||
|
|
||||
|_ doc
|
||||
|_ samples
|
||||
@ -85,8 +85,8 @@ The structure of package contents looks as follows:
|
||||
On production devices that have access to Google Play Market (and Internet) these packages will be
|
||||
installed from Market on the first start of an application using OpenCV Manager API.
|
||||
But devkits without Market or Internet connection require this packages to be installed manually.
|
||||
Install the `Manager.apk` and the corresponding `binary_pack.apk` depending on the device CPU,
|
||||
the Manager GUI provides this info. Below you'll see exact commands on how to do this.
|
||||
Install the `Manager.apk` and optional `binary_pack.apk` if it needed.
|
||||
See :ref:`manager_selection` for details.
|
||||
|
||||
.. note:: Installation from Internet is the preferable way since OpenCV team may publish updated
|
||||
versions of this packages on the Market.
|
||||
@ -280,21 +280,7 @@ Well, running samples from Eclipse is very simple:
|
||||
To get rid of the message you will need to install `OpenCV Manager` and the appropriate `OpenCV binary pack`.
|
||||
Simply tap :menuselection:`Yes` if you have *Google Play Market* installed on your device/emulator. It will redirect you to the corresponding page on *Google Play Market*.
|
||||
|
||||
If you have no access to the *Market*, which is often the case with emulators - you will need to install the packages from OpenCV4Android SDK folder manually. Open the console/terminal and type in the following two commands:
|
||||
|
||||
.. code-block:: sh
|
||||
:linenos:
|
||||
|
||||
<Android SDK path>/platform-tools/adb install <OpenCV4Android SDK path>/apk/OpenCV_2.4.3_Manager.apk
|
||||
<Android SDK path>/platform-tools/adb install <OpenCV4Android SDK path>/apk/OpenCV_2.4.3_binary_pack_armv7a.apk
|
||||
|
||||
If you're running Windows, that will probably look like this:
|
||||
|
||||
.. image:: images/install_opencv_manager_with_adb.png
|
||||
:alt: Run these commands in the console to install OpenCV Manager
|
||||
:align: center
|
||||
|
||||
When done, you will be able to run OpenCV samples on your device/emulator seamlessly.
|
||||
If you have no access to the *Market*, which is often the case with emulators - you will need to install the packages from OpenCV4Android SDK folder manually. See :ref:`manager_selection` for details.
|
||||
|
||||
* Here is ``Tutorial 2 - Use OpenCV Camera`` sample, running on top of stock camera-preview of the emulator.
|
||||
|
||||
|
@ -54,20 +54,8 @@ Using async initialization is a **recommended** way for application development.
|
||||
:alt: Add dependency from OpenCV library
|
||||
:align: center
|
||||
|
||||
To run OpenCV Manager-based application for the first time you need to install package with the `OpenCV Manager` for your platform. Armeabi, Armeabi-v7a with NEON, x86 and MIPS achitectures supported.
|
||||
You can do it using Google Play Market or manually with ``adb`` tool:
|
||||
|
||||
.. code-block:: sh
|
||||
:linenos:
|
||||
|
||||
<Android SDK path>/platform-tools/adb install <OpenCV4Android SDK path>/apk/OpenCV_2.4.3_Manager.apk
|
||||
|
||||
For rare cases if NEON instruction set is not supported you need to install aditional OpenCV Library package:
|
||||
|
||||
.. code-block:: sh
|
||||
:linenos:
|
||||
|
||||
<Android SDK path>/platform-tools/adb install <OpenCV4Android SDK path>/apk/OpenCV_2.4.3_binary_pack_armv7a.apk
|
||||
In most cases OpenCV Manager may be installed automatically from Google Play. For such case, when Google Play is not available, i.e. emulator, developer board, etc, you can
|
||||
install it manually using adb tool. See :ref:`manager_selection` for details.
|
||||
|
||||
There is a very base code snippet implementing the async initialization. It shows basic principles. See the "15-puzzle" OpenCV sample for details.
|
||||
|
||||
|
Binary file not shown.
Before Width: | Height: | Size: 16 KiB |
@ -71,7 +71,9 @@ There are functions in OpenCV, especially from calib3d module, such as ``project
|
||||
//... fill the array
|
||||
Mat pointsMat = Mat(points);
|
||||
|
||||
One can access a point in this matrix using the same method \texttt{Mat::at}: ::
|
||||
One can access a point in this matrix using the same method ``Mat::at`` :
|
||||
|
||||
::
|
||||
|
||||
Point2f point = pointsMat.at<Point2f>(i, 0);
|
||||
|
||||
@ -109,7 +111,7 @@ Selecting a region of interest: ::
|
||||
Rect r(10, 10, 100, 100);
|
||||
Mat smallImg = img(r);
|
||||
|
||||
A convertion from \texttt{Mat} to C API data structures: ::
|
||||
A convertion from ``Mat`` to C API data structures: ::
|
||||
|
||||
Mat img = imread("image.jpg");
|
||||
IplImage img1 = img;
|
||||
@ -150,7 +152,7 @@ A call to ``waitKey()`` starts a message passing cycle that waits for a key stro
|
||||
double minVal, maxVal;
|
||||
minMaxLoc(sobelx, &minVal, &maxVal); //find minimum and maximum intensities
|
||||
Mat draw;
|
||||
sobelx.convertTo(draw, CV_8U, 255.0/(maxVal - minVal), -minVal);
|
||||
sobelx.convertTo(draw, CV_8U, 255.0/(maxVal - minVal), -minVal * 255.0/(maxVal - minVal));
|
||||
|
||||
namedWindow("image", CV_WINDOW_AUTOSIZE);
|
||||
imshow("image", draw);
|
||||
|
@ -64,7 +64,7 @@
|
||||
#endif
|
||||
#elif __GNUC__*10 + __GNUC_MINOR__ >= 42
|
||||
|
||||
#if !defined WIN32 && (defined __i486__ || defined __i586__ || \
|
||||
#if !(defined WIN32 || defined _WIN32) && (defined __i486__ || defined __i586__ || \
|
||||
defined __i686__ || defined __MMX__ || defined __SSE__ || defined __ppc__)
|
||||
#define CV_XADD __sync_fetch_and_add
|
||||
#else
|
||||
|
@ -5170,6 +5170,7 @@ void FileStorage::release()
|
||||
string FileStorage::releaseAndGetString()
|
||||
{
|
||||
string buf;
|
||||
buf.reserve(16); // HACK: Work around for compiler bug
|
||||
if( fs.obj && fs.obj->outbuf )
|
||||
icvClose(fs.obj, &buf);
|
||||
|
||||
|
@ -399,12 +399,12 @@ bool CvCapture_GStreamer::open( int type, const char* filename )
|
||||
|
||||
gst_app_sink_set_max_buffers (GST_APP_SINK(sink), 1);
|
||||
gst_app_sink_set_drop (GST_APP_SINK(sink), stream);
|
||||
|
||||
gst_app_sink_set_caps(GST_APP_SINK(sink), gst_caps_new_simple("video/x-raw-rgb",
|
||||
"red_mask", G_TYPE_INT, 0x0000FF,
|
||||
"green_mask", G_TYPE_INT, 0x00FF00,
|
||||
"blue_mask", G_TYPE_INT, 0xFF0000,
|
||||
NULL));
|
||||
caps = gst_caps_new_simple("video/x-raw-rgb",
|
||||
"red_mask", G_TYPE_INT, 0x0000FF,
|
||||
"green_mask", G_TYPE_INT, 0x00FF00,
|
||||
"blue_mask", G_TYPE_INT, 0xFF0000,
|
||||
NULL);
|
||||
gst_app_sink_set_caps(GST_APP_SINK(sink), caps);
|
||||
gst_caps_unref(caps);
|
||||
|
||||
if(gst_element_set_state(GST_ELEMENT(pipeline), GST_STATE_READY) ==
|
||||
|
@ -661,7 +661,7 @@ Applies a fixed-level threshold to each array element.
|
||||
|
||||
:param dst: output array of the same size and type as ``src``.
|
||||
|
||||
:param thresh: treshold value.
|
||||
:param thresh: threshold value.
|
||||
|
||||
:param maxval: maximum value to use with the ``THRESH_BINARY`` and ``THRESH_BINARY_INV`` thresholding types.
|
||||
|
||||
|
@ -137,7 +137,7 @@ Finds contours in a binary image.
|
||||
|
||||
:param contours: Detected contours. Each contour is stored as a vector of points.
|
||||
|
||||
:param hierarchy: Optional output vector containing information about the image topology. It has as many elements as the number of contours. For each contour ``contours[i]`` , the elements ``hierarchy[i][0]`` , ``hiearchy[i][1]`` , ``hiearchy[i][2]`` , and ``hiearchy[i][3]`` are set to 0-based indices in ``contours`` of the next and previous contours at the same hierarchical level: the first child contour and the parent contour, respectively. If for a contour ``i`` there are no next, previous, parent, or nested contours, the corresponding elements of ``hierarchy[i]`` will be negative.
|
||||
:param hierarchy: Optional output vector, containing information about the image topology. It has as many elements as the number of contours. For each i-th contour ``contours[i]`` , the elements ``hierarchy[i][0]`` , ``hiearchy[i][1]`` , ``hiearchy[i][2]`` , and ``hiearchy[i][3]`` are set to 0-based indices in ``contours`` of the next and previous contours at the same hierarchical level, the first child contour and the parent contour, respectively. If for the contour ``i`` there are no next, previous, parent, or nested contours, the corresponding elements of ``hierarchy[i]`` will be negative.
|
||||
|
||||
:param mode: Contour retrieval mode (if you use Python see also a note below).
|
||||
|
||||
|
@ -9,14 +9,14 @@ using std::tr1::get;
|
||||
|
||||
typedef tr1::tuple<Size, MatType> Size_Source_t;
|
||||
typedef TestBaseWithParam<Size_Source_t> Size_Source;
|
||||
|
||||
typedef TestBaseWithParam<Size> MatSize;
|
||||
|
||||
static const float rangeHight = 256.0f;
|
||||
static const float rangeLow = 0.0f;
|
||||
|
||||
PERF_TEST_P(Size_Source, calcHist,
|
||||
testing::Combine(testing::Values(TYPICAL_MAT_SIZES),
|
||||
testing::Values(CV_8U, CV_32F)
|
||||
)
|
||||
PERF_TEST_P(Size_Source, calcHist1d,
|
||||
testing::Combine(testing::Values(sz3MP, sz5MP),
|
||||
testing::Values(CV_8U, CV_16U, CV_32F) )
|
||||
)
|
||||
{
|
||||
Size size = get<0>(GetParam());
|
||||
@ -28,10 +28,69 @@ PERF_TEST_P(Size_Source, calcHist,
|
||||
int dims = 1;
|
||||
int numberOfImages = 1;
|
||||
|
||||
const float r[] = {0.0f, 256.0f};
|
||||
const float r[] = {rangeLow, rangeHight};
|
||||
const float* ranges[] = {r};
|
||||
|
||||
declare.in(source, WARMUP_RNG).time(20).iterations(1000);
|
||||
randu(source, rangeLow, rangeHight);
|
||||
|
||||
declare.in(source);
|
||||
|
||||
TEST_CYCLE()
|
||||
{
|
||||
calcHist(&source, numberOfImages, channels, Mat(), hist, dims, histSize, ranges);
|
||||
}
|
||||
|
||||
SANITY_CHECK(hist);
|
||||
}
|
||||
|
||||
PERF_TEST_P(Size_Source, calcHist2d,
|
||||
testing::Combine(testing::Values(sz3MP, sz5MP),
|
||||
testing::Values(CV_8UC2, CV_16UC2, CV_32FC2) )
|
||||
)
|
||||
{
|
||||
Size size = get<0>(GetParam());
|
||||
MatType type = get<1>(GetParam());
|
||||
Mat source(size.height, size.width, type);
|
||||
Mat hist;
|
||||
int channels [] = {0, 1};
|
||||
int histSize [] = {256, 256};
|
||||
int dims = 2;
|
||||
int numberOfImages = 1;
|
||||
|
||||
const float r[] = {rangeLow, rangeHight};
|
||||
const float* ranges[] = {r, r};
|
||||
|
||||
randu(source, rangeLow, rangeHight);
|
||||
|
||||
declare.in(source);
|
||||
TEST_CYCLE()
|
||||
{
|
||||
calcHist(&source, numberOfImages, channels, Mat(), hist, dims, histSize, ranges);
|
||||
}
|
||||
|
||||
SANITY_CHECK(hist);
|
||||
}
|
||||
|
||||
PERF_TEST_P(Size_Source, calcHist3d,
|
||||
testing::Combine(testing::Values(sz3MP, sz5MP),
|
||||
testing::Values(CV_8UC3, CV_16UC3, CV_32FC3) )
|
||||
)
|
||||
{
|
||||
Size size = get<0>(GetParam());
|
||||
MatType type = get<1>(GetParam());
|
||||
Mat hist;
|
||||
int channels [] = {0, 1, 2};
|
||||
int histSize [] = {32, 32, 32};
|
||||
int dims = 3;
|
||||
int numberOfImages = 1;
|
||||
Mat source(size.height, size.width, type);
|
||||
|
||||
const float r[] = {rangeLow, rangeHight};
|
||||
const float* ranges[] = {r, r, r};
|
||||
|
||||
randu(source, rangeLow, rangeHight);
|
||||
|
||||
declare.in(source);
|
||||
TEST_CYCLE()
|
||||
{
|
||||
calcHist(&source, numberOfImages, channels, Mat(), hist, dims, histSize, ranges);
|
||||
|
@ -165,11 +165,13 @@ static void histPrepareImages( const Mat* images, int nimages, const int* channe
|
||||
deltas[dims*2 + 1] = (int)(mask.step/mask.elemSize1());
|
||||
}
|
||||
|
||||
#ifndef HAVE_TBB
|
||||
if( isContinuous )
|
||||
{
|
||||
imsize.width *= imsize.height;
|
||||
imsize.height = 1;
|
||||
}
|
||||
#endif
|
||||
|
||||
if( !ranges )
|
||||
{
|
||||
@ -207,6 +209,538 @@ static void histPrepareImages( const Mat* images, int nimages, const int* channe
|
||||
|
||||
|
||||
////////////////////////////////// C A L C U L A T E H I S T O G R A M ////////////////////////////////////
|
||||
#ifdef HAVE_TBB
|
||||
enum {one = 1, two, three}; // array elements number
|
||||
|
||||
template<typename T>
|
||||
class calcHist1D_Invoker
|
||||
{
|
||||
public:
|
||||
calcHist1D_Invoker( const vector<uchar*>& _ptrs, const vector<int>& _deltas,
|
||||
Mat& hist, const double* _uniranges, int sz, int dims,
|
||||
Size& imageSize )
|
||||
: mask_(_ptrs[dims]),
|
||||
mstep_(_deltas[dims*2 + 1]),
|
||||
imageWidth_(imageSize.width),
|
||||
histogramSize_(hist.size()), histogramType_(hist.type()),
|
||||
globalHistogram_((tbb::atomic<int>*)hist.data)
|
||||
{
|
||||
p_[0] = ((T**)&_ptrs[0])[0];
|
||||
step_[0] = (&_deltas[0])[1];
|
||||
d_[0] = (&_deltas[0])[0];
|
||||
a_[0] = (&_uniranges[0])[0];
|
||||
b_[0] = (&_uniranges[0])[1];
|
||||
size_[0] = sz;
|
||||
}
|
||||
|
||||
void operator()( const BlockedRange& range ) const
|
||||
{
|
||||
T* p0 = p_[0] + range.begin() * (step_[0] + imageWidth_*d_[0]);
|
||||
uchar* mask = mask_ + range.begin()*mstep_;
|
||||
|
||||
for( int row = range.begin(); row < range.end(); row++, p0 += step_[0] )
|
||||
{
|
||||
if( !mask_ )
|
||||
{
|
||||
for( int x = 0; x < imageWidth_; x++, p0 += d_[0] )
|
||||
{
|
||||
int idx = cvFloor(*p0*a_[0] + b_[0]);
|
||||
if( (unsigned)idx < (unsigned)size_[0] )
|
||||
{
|
||||
globalHistogram_[idx].fetch_and_add(1);
|
||||
}
|
||||
}
|
||||
}
|
||||
else
|
||||
{
|
||||
for( int x = 0; x < imageWidth_; x++, p0 += d_[0] )
|
||||
{
|
||||
if( mask[x] )
|
||||
{
|
||||
int idx = cvFloor(*p0*a_[0] + b_[0]);
|
||||
if( (unsigned)idx < (unsigned)size_[0] )
|
||||
{
|
||||
globalHistogram_[idx].fetch_and_add(1);
|
||||
}
|
||||
}
|
||||
}
|
||||
mask += mstep_;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
private:
|
||||
T* p_[one];
|
||||
uchar* mask_;
|
||||
int step_[one];
|
||||
int d_[one];
|
||||
int mstep_;
|
||||
double a_[one];
|
||||
double b_[one];
|
||||
int size_[one];
|
||||
int imageWidth_;
|
||||
Size histogramSize_;
|
||||
int histogramType_;
|
||||
tbb::atomic<int>* globalHistogram_;
|
||||
};
|
||||
|
||||
template<typename T>
|
||||
class calcHist2D_Invoker
|
||||
{
|
||||
public:
|
||||
calcHist2D_Invoker( const vector<uchar*>& _ptrs, const vector<int>& _deltas,
|
||||
Mat& hist, const double* _uniranges, const int* size,
|
||||
int dims, Size& imageSize, size_t* hstep )
|
||||
: mask_(_ptrs[dims]),
|
||||
mstep_(_deltas[dims*2 + 1]),
|
||||
imageWidth_(imageSize.width),
|
||||
histogramSize_(hist.size()), histogramType_(hist.type()),
|
||||
globalHistogram_(hist.data)
|
||||
{
|
||||
p_[0] = ((T**)&_ptrs[0])[0]; p_[1] = ((T**)&_ptrs[0])[1];
|
||||
step_[0] = (&_deltas[0])[1]; step_[1] = (&_deltas[0])[3];
|
||||
d_[0] = (&_deltas[0])[0]; d_[1] = (&_deltas[0])[2];
|
||||
a_[0] = (&_uniranges[0])[0]; a_[1] = (&_uniranges[0])[2];
|
||||
b_[0] = (&_uniranges[0])[1]; b_[1] = (&_uniranges[0])[3];
|
||||
size_[0] = size[0]; size_[1] = size[1];
|
||||
hstep_[0] = hstep[0];
|
||||
}
|
||||
|
||||
void operator()(const BlockedRange& range) const
|
||||
{
|
||||
T* p0 = p_[0] + range.begin()*(step_[0] + imageWidth_*d_[0]);
|
||||
T* p1 = p_[1] + range.begin()*(step_[1] + imageWidth_*d_[1]);
|
||||
uchar* mask = mask_ + range.begin()*mstep_;
|
||||
|
||||
for( int row = range.begin(); row < range.end(); row++, p0 += step_[0], p1 += step_[1] )
|
||||
{
|
||||
if( !mask_ )
|
||||
{
|
||||
for( int x = 0; x < imageWidth_; x++, p0 += d_[0], p1 += d_[1] )
|
||||
{
|
||||
int idx0 = cvFloor(*p0*a_[0] + b_[0]);
|
||||
int idx1 = cvFloor(*p1*a_[1] + b_[1]);
|
||||
if( (unsigned)idx0 < (unsigned)size_[0] && (unsigned)idx1 < (unsigned)size_[1] )
|
||||
( (tbb::atomic<int>*)(globalHistogram_ + hstep_[0]*idx0) )[idx1].fetch_and_add(1);
|
||||
}
|
||||
}
|
||||
else
|
||||
{
|
||||
for( int x = 0; x < imageWidth_; x++, p0 += d_[0], p1 += d_[1] )
|
||||
{
|
||||
if( mask[x] )
|
||||
{
|
||||
int idx0 = cvFloor(*p0*a_[0] + b_[0]);
|
||||
int idx1 = cvFloor(*p1*a_[1] + b_[1]);
|
||||
if( (unsigned)idx0 < (unsigned)size_[0] && (unsigned)idx1 < (unsigned)size_[1] )
|
||||
((tbb::atomic<int>*)(globalHistogram_ + hstep_[0]*idx0))[idx1].fetch_and_add(1);
|
||||
}
|
||||
}
|
||||
mask += mstep_;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
private:
|
||||
T* p_[two];
|
||||
uchar* mask_;
|
||||
int step_[two];
|
||||
int d_[two];
|
||||
int mstep_;
|
||||
double a_[two];
|
||||
double b_[two];
|
||||
int size_[two];
|
||||
const int imageWidth_;
|
||||
size_t hstep_[one];
|
||||
Size histogramSize_;
|
||||
int histogramType_;
|
||||
uchar* globalHistogram_;
|
||||
};
|
||||
|
||||
|
||||
template<typename T>
|
||||
class calcHist3D_Invoker
|
||||
{
|
||||
public:
|
||||
calcHist3D_Invoker( const vector<uchar*>& _ptrs, const vector<int>& _deltas,
|
||||
Size imsize, Mat& hist, const double* uniranges, int _dims,
|
||||
size_t* hstep, int* size )
|
||||
: mask_(_ptrs[_dims]),
|
||||
mstep_(_deltas[_dims*2 + 1]),
|
||||
imageWidth_(imsize.width),
|
||||
globalHistogram_(hist.data)
|
||||
{
|
||||
p_[0] = ((T**)&_ptrs[0])[0]; p_[1] = ((T**)&_ptrs[0])[1]; p_[2] = ((T**)&_ptrs[0])[2];
|
||||
step_[0] = (&_deltas[0])[1]; step_[1] = (&_deltas[0])[3]; step_[2] = (&_deltas[0])[5];
|
||||
d_[0] = (&_deltas[0])[0]; d_[1] = (&_deltas[0])[2]; d_[2] = (&_deltas[0])[4];
|
||||
a_[0] = uniranges[0]; a_[1] = uniranges[2]; a_[2] = uniranges[4];
|
||||
b_[0] = uniranges[1]; b_[1] = uniranges[3]; b_[2] = uniranges[5];
|
||||
size_[0] = size[0]; size_[1] = size[1]; size_[2] = size[2];
|
||||
hstep_[0] = hstep[0]; hstep_[1] = hstep[1];
|
||||
}
|
||||
|
||||
void operator()( const BlockedRange& range ) const
|
||||
{
|
||||
T* p0 = p_[0] + range.begin()*(imageWidth_*d_[0] + step_[0]);
|
||||
T* p1 = p_[1] + range.begin()*(imageWidth_*d_[1] + step_[1]);
|
||||
T* p2 = p_[2] + range.begin()*(imageWidth_*d_[2] + step_[2]);
|
||||
uchar* mask = mask_ + range.begin()*mstep_;
|
||||
|
||||
for( int i = range.begin(); i < range.end(); i++, p0 += step_[0], p1 += step_[1], p2 += step_[2] )
|
||||
{
|
||||
if( !mask_ )
|
||||
{
|
||||
for( int x = 0; x < imageWidth_; x++, p0 += d_[0], p1 += d_[1], p2 += d_[2] )
|
||||
{
|
||||
int idx0 = cvFloor(*p0*a_[0] + b_[0]);
|
||||
int idx1 = cvFloor(*p1*a_[1] + b_[1]);
|
||||
int idx2 = cvFloor(*p2*a_[2] + b_[2]);
|
||||
if( (unsigned)idx0 < (unsigned)size_[0] &&
|
||||
(unsigned)idx1 < (unsigned)size_[1] &&
|
||||
(unsigned)idx2 < (unsigned)size_[2] )
|
||||
{
|
||||
( (tbb::atomic<int>*)(globalHistogram_ + hstep_[0]*idx0 + hstep_[1]*idx1) )[idx2].fetch_and_add(1);
|
||||
}
|
||||
}
|
||||
}
|
||||
else
|
||||
{
|
||||
for( int x = 0; x < imageWidth_; x++, p0 += d_[0], p1 += d_[1], p2 += d_[2] )
|
||||
{
|
||||
if( mask[x] )
|
||||
{
|
||||
int idx0 = cvFloor(*p0*a_[0] + b_[0]);
|
||||
int idx1 = cvFloor(*p1*a_[1] + b_[1]);
|
||||
int idx2 = cvFloor(*p2*a_[2] + b_[2]);
|
||||
if( (unsigned)idx0 < (unsigned)size_[0] &&
|
||||
(unsigned)idx1 < (unsigned)size_[1] &&
|
||||
(unsigned)idx2 < (unsigned)size_[2] )
|
||||
{
|
||||
( (tbb::atomic<int>*)(globalHistogram_ + hstep_[0]*idx0 + hstep_[1]*idx1) )[idx2].fetch_and_add(1);
|
||||
}
|
||||
}
|
||||
}
|
||||
mask += mstep_;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
static bool isFit( const Mat& histogram, const Size imageSize )
|
||||
{
|
||||
return ( imageSize.width * imageSize.height >= 320*240
|
||||
&& histogram.total() >= 8*8*8 );
|
||||
}
|
||||
|
||||
private:
|
||||
T* p_[three];
|
||||
uchar* mask_;
|
||||
int step_[three];
|
||||
int d_[three];
|
||||
const int mstep_;
|
||||
double a_[three];
|
||||
double b_[three];
|
||||
int size_[three];
|
||||
int imageWidth_;
|
||||
size_t hstep_[two];
|
||||
uchar* globalHistogram_;
|
||||
};
|
||||
|
||||
class CalcHist1D_8uInvoker
|
||||
{
|
||||
public:
|
||||
CalcHist1D_8uInvoker( const vector<uchar*>& ptrs, const vector<int>& deltas,
|
||||
Size imsize, Mat& hist, int dims, const vector<size_t>& tab,
|
||||
tbb::mutex* lock )
|
||||
: mask_(ptrs[dims]),
|
||||
mstep_(deltas[dims*2 + 1]),
|
||||
imageWidth_(imsize.width),
|
||||
imageSize_(imsize),
|
||||
histSize_(hist.size()), histType_(hist.type()),
|
||||
tab_((size_t*)&tab[0]),
|
||||
histogramWriteLock_(lock),
|
||||
globalHistogram_(hist.data)
|
||||
{
|
||||
p_[0] = (&ptrs[0])[0];
|
||||
step_[0] = (&deltas[0])[1];
|
||||
d_[0] = (&deltas[0])[0];
|
||||
}
|
||||
|
||||
void operator()( const BlockedRange& range ) const
|
||||
{
|
||||
int localHistogram[256] = { 0, };
|
||||
uchar* mask = mask_;
|
||||
uchar* p0 = p_[0];
|
||||
int x;
|
||||
tbb::mutex::scoped_lock lock;
|
||||
|
||||
if( !mask_ )
|
||||
{
|
||||
int n = (imageWidth_ - 4) / 4 + 1;
|
||||
int tail = imageWidth_ - n*4;
|
||||
|
||||
int xN = 4*n;
|
||||
p0 += (xN*d_[0] + tail*d_[0] + step_[0]) * range.begin();
|
||||
}
|
||||
else
|
||||
{
|
||||
p0 += (imageWidth_*d_[0] + step_[0]) * range.begin();
|
||||
mask += mstep_*range.begin();
|
||||
}
|
||||
|
||||
for( int i = range.begin(); i < range.end(); i++, p0 += step_[0] )
|
||||
{
|
||||
if( !mask_ )
|
||||
{
|
||||
if( d_[0] == 1 )
|
||||
{
|
||||
for( x = 0; x <= imageWidth_ - 4; x += 4 )
|
||||
{
|
||||
int t0 = p0[x], t1 = p0[x+1];
|
||||
localHistogram[t0]++; localHistogram[t1]++;
|
||||
t0 = p0[x+2]; t1 = p0[x+3];
|
||||
localHistogram[t0]++; localHistogram[t1]++;
|
||||
}
|
||||
p0 += x;
|
||||
}
|
||||
else
|
||||
{
|
||||
for( x = 0; x <= imageWidth_ - 4; x += 4 )
|
||||
{
|
||||
int t0 = p0[0], t1 = p0[d_[0]];
|
||||
localHistogram[t0]++; localHistogram[t1]++;
|
||||
p0 += d_[0]*2;
|
||||
t0 = p0[0]; t1 = p0[d_[0]];
|
||||
localHistogram[t0]++; localHistogram[t1]++;
|
||||
p0 += d_[0]*2;
|
||||
}
|
||||
}
|
||||
|
||||
for( ; x < imageWidth_; x++, p0 += d_[0] )
|
||||
{
|
||||
localHistogram[*p0]++;
|
||||
}
|
||||
}
|
||||
else
|
||||
{
|
||||
for( x = 0; x < imageWidth_; x++, p0 += d_[0] )
|
||||
{
|
||||
if( mask[x] )
|
||||
{
|
||||
localHistogram[*p0]++;
|
||||
}
|
||||
}
|
||||
mask += mstep_;
|
||||
}
|
||||
}
|
||||
|
||||
lock.acquire(*histogramWriteLock_);
|
||||
for(int i = 0; i < 256; i++ )
|
||||
{
|
||||
size_t hidx = tab_[i];
|
||||
if( hidx < OUT_OF_RANGE )
|
||||
{
|
||||
*(int*)((globalHistogram_ + hidx)) += localHistogram[i];
|
||||
}
|
||||
}
|
||||
lock.release();
|
||||
}
|
||||
|
||||
static bool isFit( const Mat& histogram, const Size imageSize )
|
||||
{
|
||||
return ( histogram.total() >= 8
|
||||
&& imageSize.width * imageSize.height >= 160*120 );
|
||||
}
|
||||
|
||||
private:
|
||||
uchar* p_[one];
|
||||
uchar* mask_;
|
||||
int mstep_;
|
||||
int step_[one];
|
||||
int d_[one];
|
||||
int imageWidth_;
|
||||
Size imageSize_;
|
||||
Size histSize_;
|
||||
int histType_;
|
||||
size_t* tab_;
|
||||
tbb::mutex* histogramWriteLock_;
|
||||
uchar* globalHistogram_;
|
||||
};
|
||||
|
||||
class CalcHist2D_8uInvoker
|
||||
{
|
||||
public:
|
||||
CalcHist2D_8uInvoker( const vector<uchar*>& _ptrs, const vector<int>& _deltas,
|
||||
Size imsize, Mat& hist, int dims, const vector<size_t>& _tab,
|
||||
tbb::mutex* lock )
|
||||
: mask_(_ptrs[dims]),
|
||||
mstep_(_deltas[dims*2 + 1]),
|
||||
imageWidth_(imsize.width),
|
||||
histSize_(hist.size()), histType_(hist.type()),
|
||||
tab_((size_t*)&_tab[0]),
|
||||
histogramWriteLock_(lock),
|
||||
globalHistogram_(hist.data)
|
||||
{
|
||||
p_[0] = (uchar*)(&_ptrs[0])[0]; p_[1] = (uchar*)(&_ptrs[0])[1];
|
||||
step_[0] = (&_deltas[0])[1]; step_[1] = (&_deltas[0])[3];
|
||||
d_[0] = (&_deltas[0])[0]; d_[1] = (&_deltas[0])[2];
|
||||
}
|
||||
|
||||
void operator()( const BlockedRange& range ) const
|
||||
{
|
||||
uchar* p0 = p_[0] + range.begin()*(step_[0] + imageWidth_*d_[0]);
|
||||
uchar* p1 = p_[1] + range.begin()*(step_[1] + imageWidth_*d_[1]);
|
||||
uchar* mask = mask_ + range.begin()*mstep_;
|
||||
|
||||
Mat localHist = Mat::zeros(histSize_, histType_);
|
||||
uchar* localHistData = localHist.data;
|
||||
tbb::mutex::scoped_lock lock;
|
||||
|
||||
for(int i = range.begin(); i < range.end(); i++, p0 += step_[0], p1 += step_[1])
|
||||
{
|
||||
if( !mask_ )
|
||||
{
|
||||
for( int x = 0; x < imageWidth_; x++, p0 += d_[0], p1 += d_[1] )
|
||||
{
|
||||
size_t idx = tab_[*p0] + tab_[*p1 + 256];
|
||||
if( idx < OUT_OF_RANGE )
|
||||
{
|
||||
++*(int*)(localHistData + idx);
|
||||
}
|
||||
}
|
||||
}
|
||||
else
|
||||
{
|
||||
for( int x = 0; x < imageWidth_; x++, p0 += d_[0], p1 += d_[1] )
|
||||
{
|
||||
size_t idx;
|
||||
if( mask[x] && (idx = tab_[*p0] + tab_[*p1 + 256]) < OUT_OF_RANGE )
|
||||
{
|
||||
++*(int*)(localHistData + idx);
|
||||
}
|
||||
}
|
||||
mask += mstep_;
|
||||
}
|
||||
}
|
||||
|
||||
lock.acquire(*histogramWriteLock_);
|
||||
for(int i = 0; i < histSize_.width*histSize_.height; i++)
|
||||
{
|
||||
((int*)globalHistogram_)[i] += ((int*)localHistData)[i];
|
||||
}
|
||||
lock.release();
|
||||
}
|
||||
|
||||
static bool isFit( const Mat& histogram, const Size imageSize )
|
||||
{
|
||||
return ( (histogram.total() > 4*4 && histogram.total() <= 116*116
|
||||
&& imageSize.width * imageSize.height >= 320*240)
|
||||
|| (histogram.total() > 116*116 && imageSize.width * imageSize.height >= 1280*720) );
|
||||
}
|
||||
|
||||
private:
|
||||
uchar* p_[two];
|
||||
uchar* mask_;
|
||||
int step_[two];
|
||||
int d_[two];
|
||||
int mstep_;
|
||||
int imageWidth_;
|
||||
Size histSize_;
|
||||
int histType_;
|
||||
size_t* tab_;
|
||||
tbb::mutex* histogramWriteLock_;
|
||||
uchar* globalHistogram_;
|
||||
};
|
||||
|
||||
class CalcHist3D_8uInvoker
|
||||
{
|
||||
public:
|
||||
CalcHist3D_8uInvoker( const vector<uchar*>& _ptrs, const vector<int>& _deltas,
|
||||
Size imsize, Mat& hist, int dims, const vector<size_t>& tab )
|
||||
: mask_(_ptrs[dims]),
|
||||
mstep_(_deltas[dims*2 + 1]),
|
||||
histogramSize_(hist.size.p), histogramType_(hist.type()),
|
||||
imageWidth_(imsize.width),
|
||||
tab_((size_t*)&tab[0]),
|
||||
globalHistogram_(hist.data)
|
||||
{
|
||||
p_[0] = (uchar*)(&_ptrs[0])[0]; p_[1] = (uchar*)(&_ptrs[0])[1]; p_[2] = (uchar*)(&_ptrs[0])[2];
|
||||
step_[0] = (&_deltas[0])[1]; step_[1] = (&_deltas[0])[3]; step_[2] = (&_deltas[0])[5];
|
||||
d_[0] = (&_deltas[0])[0]; d_[1] = (&_deltas[0])[2]; d_[2] = (&_deltas[0])[4];
|
||||
}
|
||||
|
||||
void operator()( const BlockedRange& range ) const
|
||||
{
|
||||
uchar* p0 = p_[0] + range.begin()*(step_[0] + imageWidth_*d_[0]);
|
||||
uchar* p1 = p_[1] + range.begin()*(step_[1] + imageWidth_*d_[1]);
|
||||
uchar* p2 = p_[2] + range.begin()*(step_[2] + imageWidth_*d_[2]);
|
||||
uchar* mask = mask_ + range.begin()*mstep_;
|
||||
|
||||
for(int i = range.begin(); i < range.end(); i++, p0 += step_[0], p1 += step_[1], p2 += step_[2] )
|
||||
{
|
||||
if( !mask_ )
|
||||
{
|
||||
for( int x = 0; x < imageWidth_; x++, p0 += d_[0], p1 += d_[1], p2 += d_[2] )
|
||||
{
|
||||
size_t idx = tab_[*p0] + tab_[*p1 + 256] + tab_[*p2 + 512];
|
||||
if( idx < OUT_OF_RANGE )
|
||||
{
|
||||
( *(tbb::atomic<int>*)(globalHistogram_ + idx) ).fetch_and_add(1);
|
||||
}
|
||||
}
|
||||
}
|
||||
else
|
||||
{
|
||||
for( int x = 0; x < imageWidth_; x++, p0 += d_[0], p1 += d_[1], p2 += d_[2] )
|
||||
{
|
||||
size_t idx;
|
||||
if( mask[x] && (idx = tab_[*p0] + tab_[*p1 + 256] + tab_[*p2 + 512]) < OUT_OF_RANGE )
|
||||
{
|
||||
(*(tbb::atomic<int>*)(globalHistogram_ + idx)).fetch_and_add(1);
|
||||
}
|
||||
}
|
||||
mask += mstep_;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
static bool isFit( const Mat& histogram, const Size imageSize )
|
||||
{
|
||||
return ( histogram.total() >= 128*128*128
|
||||
&& imageSize.width * imageSize.width >= 320*240 );
|
||||
}
|
||||
|
||||
private:
|
||||
uchar* p_[three];
|
||||
uchar* mask_;
|
||||
int mstep_;
|
||||
int step_[three];
|
||||
int d_[three];
|
||||
int* histogramSize_;
|
||||
int histogramType_;
|
||||
int imageWidth_;
|
||||
size_t* tab_;
|
||||
uchar* globalHistogram_;
|
||||
};
|
||||
|
||||
static void
|
||||
callCalcHist2D_8u( vector<uchar*>& _ptrs, const vector<int>& _deltas,
|
||||
Size imsize, Mat& hist, int dims, vector<size_t>& _tab )
|
||||
{
|
||||
int grainSize = imsize.height / tbb::task_scheduler_init::default_num_threads();
|
||||
tbb::mutex histogramWriteLock;
|
||||
|
||||
CalcHist2D_8uInvoker body(_ptrs, _deltas, imsize, hist, dims, _tab, &histogramWriteLock);
|
||||
parallel_for(BlockedRange(0, imsize.height, grainSize), body);
|
||||
}
|
||||
|
||||
static void
|
||||
callCalcHist3D_8u( vector<uchar*>& _ptrs, const vector<int>& _deltas,
|
||||
Size imsize, Mat& hist, int dims, vector<size_t>& _tab )
|
||||
{
|
||||
CalcHist3D_8uInvoker body(_ptrs, _deltas, imsize, hist, dims, _tab);
|
||||
parallel_for(BlockedRange(0, imsize.height), body);
|
||||
}
|
||||
#endif
|
||||
|
||||
template<typename T> static void
|
||||
calcHist_( vector<uchar*>& _ptrs, const vector<int>& _deltas,
|
||||
@ -234,6 +768,11 @@ calcHist_( vector<uchar*>& _ptrs, const vector<int>& _deltas,
|
||||
|
||||
if( dims == 1 )
|
||||
{
|
||||
#ifdef HAVE_TBB
|
||||
calcHist1D_Invoker<T> body(_ptrs, _deltas, hist, _uniranges, size[0], dims, imsize);
|
||||
parallel_for(BlockedRange(0, imsize.height), body);
|
||||
return;
|
||||
#endif
|
||||
double a = uniranges[0], b = uniranges[1];
|
||||
int sz = size[0], d0 = deltas[0], step0 = deltas[1];
|
||||
const T* p0 = (const T*)ptrs[0];
|
||||
@ -259,6 +798,11 @@ calcHist_( vector<uchar*>& _ptrs, const vector<int>& _deltas,
|
||||
}
|
||||
else if( dims == 2 )
|
||||
{
|
||||
#ifdef HAVE_TBB
|
||||
calcHist2D_Invoker<T> body(_ptrs, _deltas, hist, _uniranges, size, dims, imsize, hstep);
|
||||
parallel_for(BlockedRange(0, imsize.height), body);
|
||||
return;
|
||||
#endif
|
||||
double a0 = uniranges[0], b0 = uniranges[1], a1 = uniranges[2], b1 = uniranges[3];
|
||||
int sz0 = size[0], sz1 = size[1];
|
||||
int d0 = deltas[0], step0 = deltas[1],
|
||||
@ -290,6 +834,14 @@ calcHist_( vector<uchar*>& _ptrs, const vector<int>& _deltas,
|
||||
}
|
||||
else if( dims == 3 )
|
||||
{
|
||||
#ifdef HAVE_TBB
|
||||
if( calcHist3D_Invoker<T>::isFit(hist, imsize) )
|
||||
{
|
||||
calcHist3D_Invoker<T> body(_ptrs, _deltas, imsize, hist, uniranges, dims, hstep, size);
|
||||
parallel_for(BlockedRange(0, imsize.height), body);
|
||||
return;
|
||||
}
|
||||
#endif
|
||||
double a0 = uniranges[0], b0 = uniranges[1],
|
||||
a1 = uniranges[2], b1 = uniranges[3],
|
||||
a2 = uniranges[4], b2 = uniranges[5];
|
||||
@ -441,8 +993,20 @@ calcHist_8u( vector<uchar*>& _ptrs, const vector<int>& _deltas,
|
||||
|
||||
if( dims == 1 )
|
||||
{
|
||||
#ifdef HAVE_TBB
|
||||
if( CalcHist1D_8uInvoker::isFit(hist, imsize) )
|
||||
{
|
||||
int treadsNumber = tbb::task_scheduler_init::default_num_threads();
|
||||
int grainSize = imsize.height/treadsNumber;
|
||||
tbb::mutex histogramWriteLock;
|
||||
|
||||
CalcHist1D_8uInvoker body(_ptrs, _deltas, imsize, hist, dims, _tab, &histogramWriteLock);
|
||||
parallel_for(BlockedRange(0, imsize.height, grainSize), body);
|
||||
return;
|
||||
}
|
||||
#endif
|
||||
int d0 = deltas[0], step0 = deltas[1];
|
||||
int matH[256] = {0};
|
||||
int matH[256] = { 0, };
|
||||
const uchar* p0 = (const uchar*)ptrs[0];
|
||||
|
||||
for( ; imsize.height--; p0 += step0, mask += mstep )
|
||||
@ -489,6 +1053,13 @@ calcHist_8u( vector<uchar*>& _ptrs, const vector<int>& _deltas,
|
||||
}
|
||||
else if( dims == 2 )
|
||||
{
|
||||
#ifdef HAVE_TBB
|
||||
if( CalcHist2D_8uInvoker::isFit(hist, imsize) )
|
||||
{
|
||||
callCalcHist2D_8u(_ptrs, _deltas, imsize, hist, dims, _tab);
|
||||
return;
|
||||
}
|
||||
#endif
|
||||
int d0 = deltas[0], step0 = deltas[1],
|
||||
d1 = deltas[2], step1 = deltas[3];
|
||||
const uchar* p0 = (const uchar*)ptrs[0];
|
||||
@ -514,6 +1085,13 @@ calcHist_8u( vector<uchar*>& _ptrs, const vector<int>& _deltas,
|
||||
}
|
||||
else if( dims == 3 )
|
||||
{
|
||||
#ifdef HAVE_TBB
|
||||
if( CalcHist3D_8uInvoker::isFit(hist, imsize) )
|
||||
{
|
||||
callCalcHist3D_8u(_ptrs, _deltas, imsize, hist, dims, _tab);
|
||||
return;
|
||||
}
|
||||
#endif
|
||||
int d0 = deltas[0], step0 = deltas[1],
|
||||
d1 = deltas[2], step1 = deltas[3],
|
||||
d2 = deltas[4], step2 = deltas[5];
|
||||
@ -2404,61 +2982,206 @@ cvCalcProbDensity( const CvHistogram* hist, const CvHistogram* hist_mask,
|
||||
}
|
||||
}
|
||||
|
||||
class EqualizeHistCalcHist_Invoker
|
||||
{
|
||||
public:
|
||||
enum {HIST_SZ = 256};
|
||||
|
||||
#ifdef HAVE_TBB
|
||||
typedef tbb::mutex* MutextPtr;
|
||||
#else
|
||||
typedef void* MutextPtr;
|
||||
#endif
|
||||
|
||||
EqualizeHistCalcHist_Invoker(cv::Mat& src, int* histogram, MutextPtr histogramLock)
|
||||
: src_(src), globalHistogram_(histogram), histogramLock_(histogramLock)
|
||||
{ }
|
||||
|
||||
void operator()( const cv::BlockedRange& rowRange ) const
|
||||
{
|
||||
int localHistogram[HIST_SZ] = {0, };
|
||||
|
||||
const size_t sstep = src_.step;
|
||||
|
||||
int width = src_.cols;
|
||||
int height = rowRange.end() - rowRange.begin();
|
||||
|
||||
if (src_.isContinuous())
|
||||
{
|
||||
width *= height;
|
||||
height = 1;
|
||||
}
|
||||
|
||||
for (const uchar* ptr = src_.ptr<uchar>(rowRange.begin()); height--; ptr += sstep)
|
||||
{
|
||||
int x = 0;
|
||||
for (; x <= width - 4; x += 4)
|
||||
{
|
||||
int t0 = ptr[x], t1 = ptr[x+1];
|
||||
localHistogram[t0]++; localHistogram[t1]++;
|
||||
t0 = ptr[x+2]; t1 = ptr[x+3];
|
||||
localHistogram[t0]++; localHistogram[t1]++;
|
||||
}
|
||||
|
||||
for (; x < width; ++x, ++ptr)
|
||||
localHistogram[ptr[x]]++;
|
||||
}
|
||||
|
||||
#ifdef HAVE_TBB
|
||||
tbb::mutex::scoped_lock lock(*histogramLock_);
|
||||
#endif
|
||||
|
||||
for( int i = 0; i < HIST_SZ; i++ )
|
||||
globalHistogram_[i] += localHistogram[i];
|
||||
}
|
||||
|
||||
static bool isWorthParallel( const cv::Mat& src )
|
||||
{
|
||||
#ifdef HAVE_TBB
|
||||
return ( src.total() >= 640*480 );
|
||||
#else
|
||||
(void)src;
|
||||
return false;
|
||||
#endif
|
||||
}
|
||||
|
||||
private:
|
||||
EqualizeHistCalcHist_Invoker& operator=(const EqualizeHistCalcHist_Invoker&);
|
||||
|
||||
cv::Mat& src_;
|
||||
int* globalHistogram_;
|
||||
MutextPtr histogramLock_;
|
||||
};
|
||||
|
||||
class EqualizeHistLut_Invoker
|
||||
{
|
||||
public:
|
||||
EqualizeHistLut_Invoker( cv::Mat& src, cv::Mat& dst, int* lut )
|
||||
: src_(src),
|
||||
dst_(dst),
|
||||
lut_(lut)
|
||||
{ }
|
||||
|
||||
void operator()( const cv::BlockedRange& rowRange ) const
|
||||
{
|
||||
const size_t sstep = src_.step;
|
||||
const size_t dstep = dst_.step;
|
||||
|
||||
int width = src_.cols;
|
||||
int height = rowRange.end() - rowRange.begin();
|
||||
int* lut = lut_;
|
||||
|
||||
if (src_.isContinuous() && dst_.isContinuous())
|
||||
{
|
||||
width *= height;
|
||||
height = 1;
|
||||
}
|
||||
|
||||
const uchar* sptr = src_.ptr<uchar>(rowRange.begin());
|
||||
uchar* dptr = dst_.ptr<uchar>(rowRange.begin());
|
||||
|
||||
for (; height--; sptr += sstep, dptr += dstep)
|
||||
{
|
||||
int x = 0;
|
||||
for (; x <= width - 4; x += 4)
|
||||
{
|
||||
int v0 = sptr[x];
|
||||
int v1 = sptr[x+1];
|
||||
int x0 = lut[v0];
|
||||
int x1 = lut[v1];
|
||||
dptr[x] = (uchar)x0;
|
||||
dptr[x+1] = (uchar)x1;
|
||||
|
||||
v0 = sptr[x+2];
|
||||
v1 = sptr[x+3];
|
||||
x0 = lut[v0];
|
||||
x1 = lut[v1];
|
||||
dptr[x+2] = (uchar)x0;
|
||||
dptr[x+3] = (uchar)x1;
|
||||
}
|
||||
|
||||
for (; x < width; ++x)
|
||||
dptr[x] = (uchar)lut[sptr[x]];
|
||||
}
|
||||
}
|
||||
|
||||
static bool isWorthParallel( const cv::Mat& src )
|
||||
{
|
||||
#ifdef HAVE_TBB
|
||||
return ( src.total() >= 640*480 );
|
||||
#else
|
||||
(void)src;
|
||||
return false;
|
||||
#endif
|
||||
}
|
||||
|
||||
private:
|
||||
EqualizeHistLut_Invoker& operator=(const EqualizeHistLut_Invoker&);
|
||||
|
||||
cv::Mat& src_;
|
||||
cv::Mat& dst_;
|
||||
int* lut_;
|
||||
};
|
||||
|
||||
CV_IMPL void cvEqualizeHist( const CvArr* srcarr, CvArr* dstarr )
|
||||
{
|
||||
CvMat sstub, *src = cvGetMat(srcarr, &sstub);
|
||||
CvMat dstub, *dst = cvGetMat(dstarr, &dstub);
|
||||
|
||||
CV_Assert( CV_ARE_SIZES_EQ(src, dst) && CV_ARE_TYPES_EQ(src, dst) &&
|
||||
CV_MAT_TYPE(src->type) == CV_8UC1 );
|
||||
CvSize size = cvGetMatSize(src);
|
||||
if( CV_IS_MAT_CONT(src->type & dst->type) )
|
||||
{
|
||||
size.width *= size.height;
|
||||
size.height = 1;
|
||||
}
|
||||
int x, y;
|
||||
const int hist_sz = 256;
|
||||
int hist[hist_sz];
|
||||
memset(hist, 0, sizeof(hist));
|
||||
|
||||
for( y = 0; y < size.height; y++ )
|
||||
{
|
||||
const uchar* sptr = src->data.ptr + src->step*y;
|
||||
for( x = 0; x < size.width; x++ )
|
||||
hist[sptr[x]]++;
|
||||
}
|
||||
|
||||
float scale = 255.f/(size.width*size.height);
|
||||
int sum = 0;
|
||||
uchar lut[hist_sz+1];
|
||||
|
||||
for( int i = 0; i < hist_sz; i++ )
|
||||
{
|
||||
sum += hist[i];
|
||||
int val = cvRound(sum*scale);
|
||||
lut[i] = CV_CAST_8U(val);
|
||||
}
|
||||
|
||||
lut[0] = 0;
|
||||
for( y = 0; y < size.height; y++ )
|
||||
{
|
||||
const uchar* sptr = src->data.ptr + src->step*y;
|
||||
uchar* dptr = dst->data.ptr + dst->step*y;
|
||||
for( x = 0; x < size.width; x++ )
|
||||
dptr[x] = lut[sptr[x]];
|
||||
}
|
||||
cv::equalizeHist(cv::cvarrToMat(srcarr), cv::cvarrToMat(dstarr));
|
||||
}
|
||||
|
||||
|
||||
void cv::equalizeHist( InputArray _src, OutputArray _dst )
|
||||
{
|
||||
Mat src = _src.getMat();
|
||||
CV_Assert( src.type() == CV_8UC1 );
|
||||
|
||||
_dst.create( src.size(), src.type() );
|
||||
Mat dst = _dst.getMat();
|
||||
CvMat _csrc = src, _cdst = dst;
|
||||
cvEqualizeHist( &_csrc, &_cdst );
|
||||
|
||||
if(src.empty())
|
||||
return;
|
||||
|
||||
#ifdef HAVE_TBB
|
||||
tbb::mutex histogramLockInstance;
|
||||
EqualizeHistCalcHist_Invoker::MutextPtr histogramLock = &histogramLockInstance;
|
||||
#else
|
||||
EqualizeHistCalcHist_Invoker::MutextPtr histogramLock = 0;
|
||||
#endif
|
||||
|
||||
const int hist_sz = EqualizeHistCalcHist_Invoker::HIST_SZ;
|
||||
int hist[hist_sz] = {0,};
|
||||
int lut[hist_sz];
|
||||
|
||||
EqualizeHistCalcHist_Invoker calcBody(src, hist, histogramLock);
|
||||
EqualizeHistLut_Invoker lutBody(src, dst, lut);
|
||||
cv::BlockedRange heightRange(0, src.rows);
|
||||
|
||||
if(EqualizeHistCalcHist_Invoker::isWorthParallel(src))
|
||||
parallel_for(heightRange, calcBody);
|
||||
else
|
||||
calcBody(heightRange);
|
||||
|
||||
int i = 0;
|
||||
while (!hist[i]) ++i;
|
||||
|
||||
int total = (int)src.total();
|
||||
if (hist[i] == total)
|
||||
{
|
||||
dst.setTo(i);
|
||||
return;
|
||||
}
|
||||
|
||||
float scale = (hist_sz - 1.f)/(total - hist[i]);
|
||||
int sum = 0;
|
||||
|
||||
for (lut[i++] = 0; i < hist_sz; ++i)
|
||||
{
|
||||
sum += hist[i];
|
||||
lut[i] = saturate_cast<uchar>(sum * scale);
|
||||
}
|
||||
|
||||
if(EqualizeHistLut_Invoker::isWorthParallel(src))
|
||||
parallel_for(heightRange, lutBody);
|
||||
else
|
||||
lutBody(heightRange);
|
||||
}
|
||||
|
||||
/* Implementation of RTTI and Generic Functions for CvHistogram */
|
||||
|
@ -3,6 +3,19 @@
|
||||
import os, sys, re, string, glob
|
||||
from optparse import OptionParser
|
||||
|
||||
# Black list for classes and methods that does not implemented in Java API
|
||||
# Created to exclude referencies to them in @see tag
|
||||
JAVADOC_ENTITY_BLACK_LIST = set(["org.opencv.core.Core#abs", \
|
||||
"org.opencv.core.Core#theRNG", \
|
||||
"org.opencv.core.Core#extractImageCOI", \
|
||||
"org.opencv.core.PCA", \
|
||||
"org.opencv.core.SVD", \
|
||||
"org.opencv.core.RNG", \
|
||||
"org.opencv.imgproc.Imgproc#createMorphologyFilter", \
|
||||
"org.opencv.imgproc.Imgproc#createLinearFilter", \
|
||||
"org.opencv.imgproc.Imgproc#createSeparableLinearFilter", \
|
||||
"org.opencv.imgproc.FilterEngine"])
|
||||
|
||||
class JavadocGenerator(object):
|
||||
def __init__(self, definitions = {}, modules= [], javadoc_marker = "//javadoc:"):
|
||||
self.definitions = definitions
|
||||
@ -214,9 +227,9 @@ class JavadocGenerator(object):
|
||||
for see in decl["seealso"]:
|
||||
seedecl = self.definitions.get(see,None)
|
||||
if seedecl:
|
||||
doc += prefix + " * @see " + self.getJavaName(seedecl, "#") + "\n"
|
||||
else:
|
||||
doc += prefix + " * @see " + see.replace("::",".") + "\n"
|
||||
javadoc_name = self.getJavaName(seedecl, "#")
|
||||
if (javadoc_name not in JAVADOC_ENTITY_BLACK_LIST):
|
||||
doc += prefix + " * @see " + javadoc_name + "\n"
|
||||
prefix = " *\n"
|
||||
|
||||
#doc += prefix + " * File: " + decl["file"] + " (line " + str(decl["line"]) + ")\n"
|
||||
|
@ -344,7 +344,7 @@ public abstract class CameraBridgeViewBase extends SurfaceView implements Surfac
|
||||
* @param supportedSizes
|
||||
* @param surfaceWidth
|
||||
* @param surfaceHeight
|
||||
* @return
|
||||
* @return optimal frame size
|
||||
*/
|
||||
protected Size calculateCameraFrameSize(List<?> supportedSizes, ListItemAccessor accessor, int surfaceWidth, int surfaceHeight) {
|
||||
int calcWidth = 0;
|
||||
|
@ -31,7 +31,7 @@ public class OpenCVLoader
|
||||
* @param Version OpenCV library version.
|
||||
* @param AppContext application context for connecting to the service.
|
||||
* @param Callback object, that implements LoaderCallbackInterface for handling the connection status.
|
||||
* @return Returns true if initialization of OpenCV is successful.
|
||||
* @return Returns true if initialization of OpenCV is successful.
|
||||
*/
|
||||
public static boolean initAsync(String Version, Context AppContext,
|
||||
LoaderCallbackInterface Callback)
|
||||
|
@ -64,11 +64,11 @@ int CV_SLMLTest::run_test_case( int testCaseIdx )
|
||||
if( code == cvtest::TS::OK )
|
||||
{
|
||||
get_error( testCaseIdx, CV_TEST_ERROR, &test_resps1 );
|
||||
fname1 = tempfile();
|
||||
fname1 = tempfile(".yml.gz");
|
||||
save( fname1.c_str() );
|
||||
load( fname1.c_str() );
|
||||
get_error( testCaseIdx, CV_TEST_ERROR, &test_resps2 );
|
||||
fname2 = tempfile();
|
||||
fname2 = tempfile(".yml.gz");
|
||||
save( fname2.c_str() );
|
||||
}
|
||||
else
|
||||
|
@ -14,11 +14,7 @@ PERF_TEST_P(ImageName_MinSize, CascadeClassifierLBPFrontalFace,
|
||||
testing::Combine(testing::Values( std::string("cv/shared/lena.png"),
|
||||
std::string("cv/shared/1_itseez-0000289.png"),
|
||||
std::string("cv/shared/1_itseez-0000492.png"),
|
||||
std::string("cv/shared/1_itseez-0000573.png"),
|
||||
std::string("cv/shared/1_itseez-0000892.png"),
|
||||
std::string("cv/shared/1_itseez-0001238.png"),
|
||||
std::string("cv/shared/1_itseez-0001438.png"),
|
||||
std::string("cv/shared/1_itseez-0002524.png")),
|
||||
std::string("cv/shared/1_itseez-0000573.png")),
|
||||
testing::Values(24, 30, 40, 50, 60, 70, 80, 90)
|
||||
)
|
||||
)
|
||||
|
@ -433,8 +433,8 @@
|
||||
// Defines this to true iff Google Test can use POSIX regular expressions.
|
||||
#ifndef GTEST_HAS_POSIX_RE
|
||||
# if GTEST_OS_LINUX_ANDROID
|
||||
// On Android, <regex.h> is only available starting with Gingerbread.
|
||||
# define GTEST_HAS_POSIX_RE (__ANDROID_API__ >= 9)
|
||||
// On Android, <regex.h> is only available starting with Froyo.
|
||||
# define GTEST_HAS_POSIX_RE (__ANDROID_API__ >= 8)
|
||||
# else
|
||||
# define GTEST_HAS_POSIX_RE (!GTEST_OS_WINDOWS)
|
||||
#endif
|
||||
|
@ -1340,6 +1340,7 @@ GTEST_API_ bool IsAsciiWhiteSpace(char ch);
|
||||
GTEST_API_ bool IsAsciiWordChar(char ch);
|
||||
GTEST_API_ bool IsValidEscape(char ch);
|
||||
GTEST_API_ bool AtomMatchesChar(bool escaped, char pattern, char ch);
|
||||
GTEST_API_ std::string FormatRegexSyntaxError(const char* regex, int index);
|
||||
GTEST_API_ bool ValidateRegex(const char* regex);
|
||||
GTEST_API_ bool MatchRegexAtHead(const char* regex, const char* str);
|
||||
GTEST_API_ bool MatchRepetitionAndRegexAtHead(
|
||||
|
@ -305,23 +305,25 @@ double Regression::getElem(cv::Mat& m, int y, int x, int cn)
|
||||
|
||||
void Regression::write(cv::Mat m)
|
||||
{
|
||||
if (!m.empty() && m.dims < 2) return;
|
||||
|
||||
double min, max;
|
||||
cv::minMaxLoc(m, &min, &max);
|
||||
cv::minMaxIdx(m, &min, &max);
|
||||
write() << "min" << min << "max" << max;
|
||||
|
||||
write() << "last" << "{" << "x" << m.cols-1 << "y" << m.rows-1
|
||||
<< "val" << getElem(m, m.rows-1, m.cols-1, m.channels()-1) << "}";
|
||||
write() << "last" << "{" << "x" << m.size.p[1] - 1 << "y" << m.size.p[0] - 1
|
||||
<< "val" << getElem(m, m.size.p[0] - 1, m.size.p[1] - 1, m.channels() - 1) << "}";
|
||||
|
||||
int x, y, cn;
|
||||
x = regRNG.uniform(0, m.cols);
|
||||
y = regRNG.uniform(0, m.rows);
|
||||
x = regRNG.uniform(0, m.size.p[1]);
|
||||
y = regRNG.uniform(0, m.size.p[0]);
|
||||
cn = regRNG.uniform(0, m.channels());
|
||||
write() << "rng1" << "{" << "x" << x << "y" << y;
|
||||
if(cn > 0) write() << "cn" << cn;
|
||||
write() << "val" << getElem(m, y, x, cn) << "}";
|
||||
|
||||
x = regRNG.uniform(0, m.cols);
|
||||
y = regRNG.uniform(0, m.rows);
|
||||
x = regRNG.uniform(0, m.size.p[1]);
|
||||
y = regRNG.uniform(0, m.size.p[0]);
|
||||
cn = regRNG.uniform(0, m.channels());
|
||||
write() << "rng2" << "{" << "x" << x << "y" << y;
|
||||
if (cn > 0) write() << "cn" << cn;
|
||||
@ -339,8 +341,10 @@ static double evalEps(double expected, double actual, double _eps, ERROR_TYPE er
|
||||
|
||||
void Regression::verify(cv::FileNode node, cv::Mat actual, double _eps, std::string argname, ERROR_TYPE err)
|
||||
{
|
||||
if (!actual.empty() && actual.dims < 2) return;
|
||||
|
||||
double actual_min, actual_max;
|
||||
cv::minMaxLoc(actual, &actual_min, &actual_max);
|
||||
cv::minMaxIdx(actual, &actual_min, &actual_max);
|
||||
|
||||
double expect_min = (double)node["min"];
|
||||
double eps = evalEps(expect_min, actual_min, _eps, err);
|
||||
@ -353,12 +357,12 @@ void Regression::verify(cv::FileNode node, cv::Mat actual, double _eps, std::str
|
||||
<< argname << " has unexpected maximal value" << std::endl;
|
||||
|
||||
cv::FileNode last = node["last"];
|
||||
double actual_last = getElem(actual, actual.rows - 1, actual.cols - 1, actual.channels() - 1);
|
||||
double actual_last = getElem(actual, actual.size.p[0] - 1, actual.size.p[1] - 1, actual.channels() - 1);
|
||||
int expect_cols = (int)last["x"] + 1;
|
||||
int expect_rows = (int)last["y"] + 1;
|
||||
ASSERT_EQ(expect_cols, actual.cols)
|
||||
ASSERT_EQ(expect_cols, actual.size.p[1])
|
||||
<< argname << " has unexpected number of columns" << std::endl;
|
||||
ASSERT_EQ(expect_rows, actual.rows)
|
||||
ASSERT_EQ(expect_rows, actual.size.p[0])
|
||||
<< argname << " has unexpected number of rows" << std::endl;
|
||||
|
||||
double expect_last = (double)last["val"];
|
||||
@ -372,6 +376,8 @@ void Regression::verify(cv::FileNode node, cv::Mat actual, double _eps, std::str
|
||||
int cn1 = rng1["cn"];
|
||||
|
||||
double expect_rng1 = (double)rng1["val"];
|
||||
// it is safe to use x1 and y1 without checks here because we have already
|
||||
// verified that mat size is the same as recorded
|
||||
double actual_rng1 = getElem(actual, y1, x1, cn1);
|
||||
|
||||
eps = evalEps(expect_rng1, actual_rng1, _eps, err);
|
||||
@ -490,7 +496,7 @@ void Regression::verify(cv::FileNode node, cv::InputArray array, double eps, ERR
|
||||
std::cout << " Expected: " << std::endl << expected << std::endl << " Actual:" << std::endl << actual << std::endl;
|
||||
|
||||
double max;
|
||||
cv::minMaxLoc(diff.reshape(1), 0, &max);
|
||||
cv::minMaxIdx(diff.reshape(1), 0, &max);
|
||||
|
||||
FAIL() << " Absolute difference (=" << max << ") between argument \""
|
||||
<< node.name() << "[" << idx << "]\" and expected value is greater than " << eps;
|
||||
@ -544,7 +550,7 @@ void Regression::verify(cv::FileNode node, cv::InputArray array, double eps, ERR
|
||||
std::cout << " Expected: " << std::endl << expected << std::endl << " Actual:" << std::endl << actual << std::endl;
|
||||
|
||||
double max;
|
||||
cv::minMaxLoc(diff.reshape(1), 0, &max);
|
||||
cv::minMaxIdx(diff.reshape(1), 0, &max);
|
||||
|
||||
FAIL() << " Difference (=" << max << ") between argument1 \"" << node.name()
|
||||
<< "\" and expected value is greater than " << eps;
|
||||
@ -1153,12 +1159,17 @@ void TestBase::RunPerfTestBody()
|
||||
catch(cv::Exception e)
|
||||
{
|
||||
metrics.terminationReason = performance_metrics::TERM_EXCEPTION;
|
||||
FAIL() << "Expected: PerfTestBody() doesn't throw an exception.\n Actual: it throws:\n " << e.what();
|
||||
FAIL() << "Expected: PerfTestBody() doesn't throw an exception.\n Actual: it throws cv::Exception:\n " << e.what();
|
||||
}
|
||||
catch(std::exception e)
|
||||
{
|
||||
metrics.terminationReason = performance_metrics::TERM_EXCEPTION;
|
||||
FAIL() << "Expected: PerfTestBody() doesn't throw an exception.\n Actual: it throws std::exception:\n " << e.what();
|
||||
}
|
||||
catch(...)
|
||||
{
|
||||
metrics.terminationReason = performance_metrics::TERM_EXCEPTION;
|
||||
FAIL() << "Expected: PerfTestBody() doesn't throw an exception.\n Actual: it throws.";
|
||||
FAIL() << "Expected: PerfTestBody() doesn't throw an exception.\n Actual: it throws...";
|
||||
}
|
||||
}
|
||||
|
||||
|
@ -13,12 +13,14 @@ import org.opencv.android.CameraBridgeViewBase.CvCameraViewListener;
|
||||
|
||||
import android.annotation.SuppressLint;
|
||||
import android.app.Activity;
|
||||
import android.hardware.Camera.Size;
|
||||
import android.os.Bundle;
|
||||
import android.os.Environment;
|
||||
import android.util.Log;
|
||||
import android.view.Menu;
|
||||
import android.view.MenuItem;
|
||||
import android.view.MotionEvent;
|
||||
import android.view.SubMenu;
|
||||
import android.view.SurfaceView;
|
||||
import android.view.View;
|
||||
import android.view.View.OnTouchListener;
|
||||
@ -29,7 +31,11 @@ public class Sample5CameraControl extends Activity implements CvCameraViewListen
|
||||
private static final String TAG = "OCVSample::Activity";
|
||||
|
||||
private SampleJavaCameraView mOpenCvCameraView;
|
||||
private List<Size> mResolutionList;
|
||||
private MenuItem[] mEffectMenuItems;
|
||||
private SubMenu mColorEffectsMenu;
|
||||
private MenuItem[] mResolutionMenuItems;
|
||||
private SubMenu mResolutionMenu;
|
||||
|
||||
private BaseLoaderCallback mLoaderCallback = new BaseLoaderCallback(this) {
|
||||
@Override
|
||||
@ -109,22 +115,50 @@ public class Sample5CameraControl extends Activity implements CvCameraViewListen
|
||||
return true;
|
||||
}
|
||||
|
||||
mColorEffectsMenu = menu.addSubMenu("Color Effect");
|
||||
mEffectMenuItems = new MenuItem[effects.size()];
|
||||
|
||||
int idx = 0;
|
||||
ListIterator<String> itr = effects.listIterator();
|
||||
while(itr.hasNext()) {
|
||||
String element = itr.next();
|
||||
mEffectMenuItems[idx] = menu.add(element);
|
||||
ListIterator<String> effectItr = effects.listIterator();
|
||||
while(effectItr.hasNext()) {
|
||||
String element = effectItr.next();
|
||||
mEffectMenuItems[idx] = mColorEffectsMenu.add(1, idx, Menu.NONE, element);
|
||||
idx++;
|
||||
}
|
||||
|
||||
mResolutionMenu = menu.addSubMenu("Resolution");
|
||||
mResolutionList = mOpenCvCameraView.getResolutionList();
|
||||
mResolutionMenuItems = new MenuItem[mResolutionList.size()];
|
||||
|
||||
ListIterator<Size> resolutionItr = mResolutionList.listIterator();
|
||||
idx = 0;
|
||||
while(resolutionItr.hasNext()) {
|
||||
Size element = resolutionItr.next();
|
||||
mResolutionMenuItems[idx] = mResolutionMenu.add(2, idx, Menu.NONE,
|
||||
Integer.valueOf(element.width).toString() + "x" + Integer.valueOf(element.height).toString());
|
||||
idx++;
|
||||
}
|
||||
|
||||
return true;
|
||||
}
|
||||
|
||||
public boolean onOptionsItemSelected(MenuItem item) {
|
||||
Log.i(TAG, "called onOptionsItemSelected; selected item: " + item);
|
||||
mOpenCvCameraView.setEffect((String) item.getTitle());
|
||||
Toast.makeText(this, mOpenCvCameraView.getEffect(), Toast.LENGTH_SHORT).show();
|
||||
if (item.getGroupId() == 1)
|
||||
{
|
||||
mOpenCvCameraView.setEffect((String) item.getTitle());
|
||||
Toast.makeText(this, mOpenCvCameraView.getEffect(), Toast.LENGTH_SHORT).show();
|
||||
}
|
||||
else if (item.getGroupId() == 2)
|
||||
{
|
||||
int id = item.getItemId();
|
||||
Size resolution = mResolutionList.get(id);
|
||||
mOpenCvCameraView.setResolution(resolution);
|
||||
resolution = mOpenCvCameraView.getResolution();
|
||||
String caption = Integer.valueOf(resolution.width).toString() + "x" + Integer.valueOf(resolution.height).toString();
|
||||
Toast.makeText(this, caption, Toast.LENGTH_SHORT).show();
|
||||
}
|
||||
|
||||
return true;
|
||||
}
|
||||
|
||||
|
@ -10,6 +10,7 @@ import android.graphics.Bitmap;
|
||||
import android.graphics.BitmapFactory;
|
||||
import android.hardware.Camera;
|
||||
import android.hardware.Camera.PictureCallback;
|
||||
import android.hardware.Camera.Size;
|
||||
import android.util.AttributeSet;
|
||||
import android.util.Log;
|
||||
|
||||
@ -34,11 +35,26 @@ public class SampleJavaCameraView extends JavaCameraView {
|
||||
}
|
||||
|
||||
public void setEffect(String effect) {
|
||||
Camera.Parameters params = mCamera.getParameters();
|
||||
Camera.Parameters params = mCamera.getParameters();
|
||||
params.setColorEffect(effect);
|
||||
mCamera.setParameters(params);
|
||||
}
|
||||
|
||||
public List<Size> getResolutionList() {
|
||||
return mCamera.getParameters().getSupportedPreviewSizes();
|
||||
}
|
||||
|
||||
public void setResolution(Size resolution) {
|
||||
disconnectCamera();
|
||||
mMaxHeight = resolution.height;
|
||||
mMaxWidth = resolution.width;
|
||||
connectCamera(getWidth(), getHeight());
|
||||
}
|
||||
|
||||
public Size getResolution() {
|
||||
return mCamera.getParameters().getPreviewSize();
|
||||
}
|
||||
|
||||
public void takePicture(final String fileName) {
|
||||
Log.i(TAG, "Tacking picture");
|
||||
PictureCallback callback = new PictureCallback() {
|
||||
|
@ -55,7 +55,7 @@ if(BUILD_EXAMPLES AND OCV_DEPENDENCIES_FOUND)
|
||||
endforeach()
|
||||
endif()
|
||||
|
||||
if (NOT WIN32)
|
||||
if (INSTALL_C_EXAMPLES AND NOT WIN32)
|
||||
file(GLOB install_list *.c *.cpp *.jpg *.png *.data makefile.* build_all.sh *.dsp *.cmd )
|
||||
install(FILES ${install_list}
|
||||
DESTINATION share/opencv/samples/${project}
|
||||
|
Loading…
x
Reference in New Issue
Block a user