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Merge branch '2.4'

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This commit is contained in:
Andrey Kamaev 2013-04-05 19:52:42 +04:00
commit 67073daf19
154 changed files with 11355 additions and 16795 deletions
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37
3rdparty/tbb/CMakeLists.txt vendored
View File

@ -122,15 +122,32 @@ file(GLOB lib_srcs "${tbb_src_dir}/src/tbb/*.cpp")
file(GLOB lib_hdrs "${tbb_src_dir}/src/tbb/*.h")
list(APPEND lib_srcs "${tbb_src_dir}/src/rml/client/rml_tbb.cpp")
add_definitions(-D__TBB_DYNAMIC_LOAD_ENABLED=0 #required
-D__TBB_BUILD=1 #required
-D__TBB_SURVIVE_THREAD_SWITCH=0 #no cilk support
-DUSE_PTHREAD #required for Unix
-DTBB_USE_GCC_BUILTINS=1 #required for ARM GCC
-DTBB_USE_DEBUG=0 #just to be sure
-DTBB_NO_LEGACY=1 #don't need backward compatibility
-DDO_ITT_NOTIFY=0 #it seems that we don't need these notifications
)
if (WIN32)
add_definitions(-D__TBB_DYNAMIC_LOAD_ENABLED=0
-D__TBB_BUILD=1
-D_UNICODE
-DUNICODE
-DWINAPI_FAMILY=WINAPI_FAMILY_APP
-DDO_ITT_NOTIFY=0
) # defines were copied from windows.cl.inc
set(CMAKE_LINKER_FLAGS "${CMAKE_LINKER_FLAGS} /APPCONTAINER")
else()
add_definitions(-D__TBB_DYNAMIC_LOAD_ENABLED=0 #required
-D__TBB_BUILD=1 #required
-D__TBB_SURVIVE_THREAD_SWITCH=0 #no cilk support
-DTBB_USE_DEBUG=0 #just to be sure
-DTBB_NO_LEGACY=1 #don't need backward compatibility
-DDO_ITT_NOTIFY=0 #it seems that we don't need these notifications
)
endif()
if (HAVE_LIBPTHREAD)
add_definitions(-DUSE_PTHREAD) #required for Unix
endif()
if (CMAKE_COMPILER_IS_GNUCXX)
add_definitions(-DTBB_USE_GCC_BUILTINS=1) #required for ARM GCC
endif()
if(ANDROID_COMPILER_IS_CLANG)
add_definitions(-D__TBB_GCC_BUILTIN_ATOMICS_PRESENT=1)
@ -145,7 +162,7 @@ endif()
set(TBB_SOURCE_FILES ${lib_srcs} ${lib_hdrs})
if (${CMAKE_SYSTEM_PROCESSOR} MATCHES "arm")
if (ARM AND NOT WIN32)
if (NOT ANDROID)
set(TBB_SOURCE_FILES ${TBB_SOURCE_FILES} "${CMAKE_CURRENT_SOURCE_DIR}/arm_linux_stub.cpp")
endif()

25
CMakeLists.txt
View File

@ -118,6 +118,7 @@ OCV_OPTION(WITH_CUFFT "Include NVidia Cuda Fast Fourier Transform (FFT)
OCV_OPTION(WITH_CUBLAS "Include NVidia Cuda Basic Linear Algebra Subprograms (BLAS) library support" OFF IF (CMAKE_VERSION VERSION_GREATER "2.8" AND NOT ANDROID AND NOT IOS) )
OCV_OPTION(WITH_NVCUVID "Include NVidia Video Decoding library support" OFF IF (CMAKE_VERSION VERSION_GREATER "2.8" AND NOT ANDROID AND NOT IOS AND NOT APPLE) )
OCV_OPTION(WITH_EIGEN "Include Eigen2/Eigen3 support" ON)
OCV_OPTION(WITH_VFW "Include Video for Windows support" ON IF WIN32 )
OCV_OPTION(WITH_FFMPEG "Include FFMPEG support" ON IF (NOT ANDROID AND NOT IOS))
OCV_OPTION(WITH_GSTREAMER "Include Gstreamer support" ON IF (UNIX AND NOT APPLE AND NOT ANDROID) )
OCV_OPTION(WITH_GSTREAMER_1_X "Include Gstreamer 1.x support" OFF)
@ -133,13 +134,15 @@ OCV_OPTION(WITH_PNG "Include PNG support" ON)
OCV_OPTION(WITH_PVAPI "Include Prosilica GigE support" ON IF (NOT ANDROID AND NOT IOS) )
OCV_OPTION(WITH_GIGEAPI "Include Smartek GigE support" ON IF (NOT ANDROID AND NOT IOS) )
OCV_OPTION(WITH_QT "Build with Qt Backend support" OFF IF (NOT ANDROID AND NOT IOS) )
OCV_OPTION(WITH_WIN32UI "Build with Win32 UI Backend support" ON IF WIN32 )
OCV_OPTION(WITH_QUICKTIME "Use QuickTime for Video I/O insted of QTKit" OFF IF APPLE )
OCV_OPTION(WITH_TBB "Include Intel TBB support" OFF IF (NOT IOS) )
OCV_OPTION(WITH_CSTRIPES "Include C= support" OFF IF WIN32 )
OCV_OPTION(WITH_TIFF "Include TIFF support" ON IF (NOT IOS) )
OCV_OPTION(WITH_UNICAP "Include Unicap support (GPL)" OFF IF (UNIX AND NOT APPLE AND NOT ANDROID) )
OCV_OPTION(WITH_V4L "Include Video 4 Linux support" ON IF (UNIX AND NOT ANDROID) )
OCV_OPTION(WITH_VIDEOINPUT "Build HighGUI with DirectShow support" ON IF WIN32 )
OCV_OPTION(WITH_DSHOW "Build HighGUI with DirectShow support" ON IF (WIN32 AND NOT ARM) )
OCV_OPTION(WITH_MSMF "Build HighGUI with Media Foundation support" OFF IF WIN32 )
OCV_OPTION(WITH_XIMEA "Include XIMEA cameras support" OFF IF (NOT ANDROID AND NOT APPLE) )
OCV_OPTION(WITH_XINE "Include Xine support (GPL)" OFF IF (UNIX AND NOT APPLE AND NOT ANDROID) )
OCV_OPTION(WITH_CLP "Include Clp support (EPL)" OFF)
@ -171,7 +174,7 @@ OCV_OPTION(BUILD_JASPER "Build libjasper from source" WIN32 O
OCV_OPTION(BUILD_JPEG "Build libjpeg from source" WIN32 OR ANDROID OR APPLE )
OCV_OPTION(BUILD_PNG "Build libpng from source" WIN32 OR ANDROID OR APPLE )
OCV_OPTION(BUILD_OPENEXR "Build openexr from source" WIN32 OR ANDROID OR APPLE )
OCV_OPTION(BUILD_TBB "Download and build TBB from source" ANDROID IF CMAKE_COMPILER_IS_GNUCXX )
OCV_OPTION(BUILD_TBB "Download and build TBB from source" ANDROID )
# OpenCV installation options
# ===================================================
@ -600,8 +603,8 @@ else()
if(DEFINED WITH_QT)
status(" QT 4.x:" NO)
endif()
if(WIN32)
status(" Win32 UI:" YES)
if(DEFINED WITH_WIN32UI)
status(" Win32 UI:" HAVE_WIN32UI THEN YES ELSE NO)
else()
if(APPLE)
if(WITH_CARBON)
@ -665,6 +668,10 @@ endif()
status("")
status(" Video I/O:")
if (DEFINED WITH_VFW)
status(" Video for Windows:" HAVE_VFW THEN YES ELSE NO)
endif(DEFINED WITH_VFW)
if(DEFINED WITH_1394)
status(" DC1394 1.x:" HAVE_DC1394 THEN "YES (ver ${ALIASOF_libdc1394_VERSION})" ELSE NO)
status(" DC1394 2.x:" HAVE_DC1394_2 THEN "YES (ver ${ALIASOF_libdc1394-2_VERSION})" ELSE NO)
@ -749,9 +756,13 @@ if(DEFINED WITH_V4L)
ELSE "${HAVE_CAMV4L_STR}/${HAVE_CAMV4L2_STR}")
endif(DEFINED WITH_V4L)
if(DEFINED WITH_VIDEOINPUT)
status(" DirectShow:" HAVE_VIDEOINPUT THEN YES ELSE NO)
endif(DEFINED WITH_VIDEOINPUT)
if(DEFINED WITH_DSHOW)
status(" DirectShow:" HAVE_DSHOW THEN YES ELSE NO)
endif(DEFINED WITH_DSHOW)
if(DEFINED WITH_MSMF)
status(" Media Foundation:" HAVE_MSMF THEN YES ELSE NO)
endif(DEFINED WITH_MSMF)
if(DEFINED WITH_XIMEA)
status(" XIMEA:" HAVE_XIMEA THEN YES ELSE NO)

157
android/android.toolchain.cmake
View File

@ -1,5 +1,5 @@
# Copyright (c) 2010-2011, Ethan Rublee
# Copyright (c) 2011-2012, Andrey Kamaev
# Copyright (c) 2011-2013, Andrey Kamaev
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
@ -281,8 +281,14 @@
# [+] updated for NDK r8c
# [+] added support for clang compiler
# - December 2012
# [+] suppress warning about unused CMAKE_TOOLCHAIN_FILE variable
# [+] adjust API level to closest compatible as NDK does
# [~] fixed ccache full path search
# [+] updated for NDK r8d
# [~] compiler options are aligned with NDK r8d
# - March 2013
# [+] updated for NDK r8e (x86 version)
# [+] support x86_64 version of NDK
# ------------------------------------------------------------------------------
cmake_minimum_required( VERSION 2.6.3 )
@ -292,6 +298,10 @@ if( DEFINED CMAKE_CROSSCOMPILING )
return()
endif()
if( CMAKE_TOOLCHAIN_FILE )
# touch toolchain variable only to suppress "unused variable" warning
endif()
get_property( _CMAKE_IN_TRY_COMPILE GLOBAL PROPERTY IN_TRY_COMPILE )
if( _CMAKE_IN_TRY_COMPILE )
include( "${CMAKE_CURRENT_SOURCE_DIR}/../android.toolchain.config.cmake" OPTIONAL )
@ -305,7 +315,7 @@ 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} -r8d -r8c -r8b -r8 -r7c -r7b -r7 -r6b -r6 -r5c -r5b -r5 "" )
set( ANDROID_SUPPORTED_NDK_VERSIONS ${ANDROID_EXTRA_NDK_VERSIONS} -r8e -r8d -r8c -r8b -r8 -r7c -r7b -r7 -r6b -r6 -r5c -r5b -r5 "" )
if(NOT DEFINED ANDROID_NDK_SEARCH_PATHS)
if( CMAKE_HOST_WIN32 )
file( TO_CMAKE_PATH "$ENV{PROGRAMFILES}" ANDROID_NDK_SEARCH_PATHS )
@ -449,19 +459,32 @@ if( ANDROID_FORBID_SYGWIN )
endif()
endif()
# detect current host platform
if( NOT DEFINED ANDROID_NDK_HOST_X64 AND CMAKE_HOST_SYSTEM_PROCESSOR MATCHES "amd64|x86_64|AMD64")
set( ANDROID_NDK_HOST_X64 1 CACHE BOOL "Try to use 64-bit compiler toolchain" )
mark_as_advanced( ANDROID_NDK_HOST_X64 )
endif()
set( TOOL_OS_SUFFIX "" )
if( CMAKE_HOST_APPLE )
set( ANDROID_NDK_HOST_SYSTEM_NAME "darwin-x86" )
set( ANDROID_NDK_HOST_SYSTEM_NAME "darwin-x86_64" )
set( ANDROID_NDK_HOST_SYSTEM_NAME2 "darwin-x86" )
elseif( CMAKE_HOST_WIN32 )
set( ANDROID_NDK_HOST_SYSTEM_NAME "windows" )
set( ANDROID_NDK_HOST_SYSTEM_NAME "windows-x86_64" )
set( ANDROID_NDK_HOST_SYSTEM_NAME2 "windows" )
set( TOOL_OS_SUFFIX ".exe" )
elseif( CMAKE_HOST_UNIX )
set( ANDROID_NDK_HOST_SYSTEM_NAME "linux-x86" )
set( ANDROID_NDK_HOST_SYSTEM_NAME "linux-x86_64" )
set( ANDROID_NDK_HOST_SYSTEM_NAME2 "linux-x86" )
else()
message( FATAL_ERROR "Cross-compilation on your platform is not supported by this cmake toolchain" )
endif()
if( NOT ANDROID_NDK_HOST_X64 )
set( ANDROID_NDK_HOST_SYSTEM_NAME ${ANDROID_NDK_HOST_SYSTEM_NAME2} )
endif()
# see if we have path to Android NDK
__INIT_VARIABLE( ANDROID_NDK PATH ENV_ANDROID_NDK )
if( NOT ANDROID_NDK )
@ -509,7 +532,8 @@ if( ANDROID_NDK )
endif()
set( ANDROID_NDK "${ANDROID_NDK}" CACHE INTERNAL "Path of the Android NDK" FORCE )
set( BUILD_WITH_ANDROID_NDK True )
file( STRINGS "${ANDROID_NDK}/RELEASE.TXT" ANDROID_NDK_RELEASE LIMIT_COUNT 1 REGEX r[0-9]+[a-z]? )
file( STRINGS "${ANDROID_NDK}/RELEASE.TXT" ANDROID_NDK_RELEASE_FULL LIMIT_COUNT 1 REGEX r[0-9]+[a-z]? )
string( REGEX MATCH r[0-9]+[a-z]? ANDROID_NDK_RELEASE "${ANDROID_NDK_RELEASE_FULL}" )
elseif( ANDROID_STANDALONE_TOOLCHAIN )
get_filename_component( ANDROID_STANDALONE_TOOLCHAIN "${ANDROID_STANDALONE_TOOLCHAIN}" ABSOLUTE )
# try to detect change
@ -563,22 +587,21 @@ if( BUILD_WITH_STANDALONE_TOOLCHAIN )
endif()
endif()
macro( __GLOB_NDK_TOOLCHAINS __availableToolchainsVar )
foreach( __toolchain ${${__availableToolchainsVar}} )
macro( __GLOB_NDK_TOOLCHAINS __availableToolchainsVar __availableToolchainsLst __host_system_name )
foreach( __toolchain ${${__availableToolchainsLst}} )
if( "${__toolchain}" MATCHES "-clang3[.][0-9]$" AND NOT EXISTS "${ANDROID_NDK}/toolchains/${__toolchain}/prebuilt/" )
string( REGEX REPLACE "-clang3[.][0-9]$" "-4.6" __gcc_toolchain "${__toolchain}" )
else()
set( __gcc_toolchain "${__toolchain}" )
endif()
__DETECT_TOOLCHAIN_MACHINE_NAME( __machine "${ANDROID_NDK}/toolchains/${__gcc_toolchain}/prebuilt/${ANDROID_NDK_HOST_SYSTEM_NAME}" )
__DETECT_TOOLCHAIN_MACHINE_NAME( __machine "${ANDROID_NDK}/toolchains/${__gcc_toolchain}/prebuilt/${__host_system_name}" )
if( __machine )
string( REGEX MATCH "[0-9]+[.][0-9]+([.][0-9]+)?$" __version "${__gcc_toolchain}" )
string( REGEX MATCH "^[^-]+" __arch "${__gcc_toolchain}" )
list( APPEND __availableToolchainMachines "${__machine}" )
list( APPEND __availableToolchainArchs "${__arch}" )
list( APPEND __availableToolchainCompilerVersions "${__version}" )
else()
list( REMOVE_ITEM ${__availableToolchainsVar} "${__toolchain}" )
list( APPEND ${__availableToolchainsVar} "${__toolchain}" )
endif()
unset( __gcc_toolchain )
endforeach()
@ -594,17 +617,29 @@ if( BUILD_WITH_ANDROID_NDK )
set( __availableToolchainCompilerVersions "" )
if( ANDROID_TOOLCHAIN_NAME AND EXISTS "${ANDROID_NDK}/toolchains/${ANDROID_TOOLCHAIN_NAME}/" )
# do not go through all toolchains if we know the name
set( __availableToolchains "${ANDROID_TOOLCHAIN_NAME}" )
__GLOB_NDK_TOOLCHAINS( __availableToolchains )
set( __availableToolchainsLst "${ANDROID_TOOLCHAIN_NAME}" )
__GLOB_NDK_TOOLCHAINS( __availableToolchains __availableToolchainsLst ${ANDROID_NDK_HOST_SYSTEM_NAME} )
if( NOT __availableToolchains AND NOT ANDROID_NDK_HOST_SYSTEM_NAME STREQUAL ANDROID_NDK_HOST_SYSTEM_NAME2 )
__GLOB_NDK_TOOLCHAINS( __availableToolchains __availableToolchainsLst ${ANDROID_NDK_HOST_SYSTEM_NAME2} )
if( __availableToolchains )
set( ANDROID_NDK_HOST_SYSTEM_NAME ${ANDROID_NDK_HOST_SYSTEM_NAME2} )
endif()
endif()
endif()
if( NOT __availableToolchains )
file( GLOB __availableToolchains RELATIVE "${ANDROID_NDK}/toolchains" "${ANDROID_NDK}/toolchains/*" )
file( GLOB __availableToolchainsLst RELATIVE "${ANDROID_NDK}/toolchains" "${ANDROID_NDK}/toolchains/*" )
if( __availableToolchains )
list(SORT __availableToolchains) # we need clang to go after gcc
list(SORT __availableToolchainsLst) # we need clang to go after gcc
endif()
__LIST_FILTER( __availableToolchainsLst "^[.]" )
__LIST_FILTER( __availableToolchainsLst "llvm" )
__GLOB_NDK_TOOLCHAINS( __availableToolchains __availableToolchainsLst ${ANDROID_NDK_HOST_SYSTEM_NAME} )
if( NOT __availableToolchains AND NOT ANDROID_NDK_HOST_SYSTEM_NAME STREQUAL ANDROID_NDK_HOST_SYSTEM_NAME2 )
__GLOB_NDK_TOOLCHAINS( __availableToolchains __availableToolchainsLst ${ANDROID_NDK_HOST_SYSTEM_NAME2} )
if( __availableToolchains )
set( ANDROID_NDK_HOST_SYSTEM_NAME ${ANDROID_NDK_HOST_SYSTEM_NAME2} )
endif()
endif()
__LIST_FILTER( __availableToolchains "^[.]" )
__LIST_FILTER( __availableToolchains "llvm" )
__GLOB_NDK_TOOLCHAINS( __availableToolchains )
endif()
if( NOT __availableToolchains )
message( FATAL_ERROR "Could not find any working toolchain in the NDK. Probably your Android NDK is broken." )
@ -617,11 +652,11 @@ set( __uniqToolchainArchNames ${__availableToolchainArchs} )
list( REMOVE_DUPLICATES __uniqToolchainArchNames )
list( SORT __uniqToolchainArchNames )
foreach( __arch ${__uniqToolchainArchNames} )
list( APPEND ANDROID_SUPPORTED_ABIS ${ANDROID_SUPPORTED_ABIS_${__arch}} )
list( APPEND ANDROID_SUPPORTED_ABIS ${ANDROID_SUPPORTED_ABIS_${__arch}} )
endforeach()
unset( __uniqToolchainArchNames )
if( NOT ANDROID_SUPPORTED_ABIS )
message( FATAL_ERROR "No one of known Android ABIs is supported by this cmake toolchain." )
message( FATAL_ERROR "No one of known Android ABIs is supported by this cmake toolchain." )
endif()
# choose target ABI
@ -760,11 +795,22 @@ unset( __availableToolchainCompilerVersions )
# choose native API level
__INIT_VARIABLE( ANDROID_NATIVE_API_LEVEL ENV_ANDROID_NATIVE_API_LEVEL ANDROID_API_LEVEL ENV_ANDROID_API_LEVEL ANDROID_STANDALONE_TOOLCHAIN_API_LEVEL ANDROID_DEFAULT_NDK_API_LEVEL_${ANDROID_ARCH_NAME} ANDROID_DEFAULT_NDK_API_LEVEL )
string( REGEX MATCH "[0-9]+" ANDROID_NATIVE_API_LEVEL "${ANDROID_NATIVE_API_LEVEL}" )
# TODO: filter out unsupported levels
# adjust API level
set( __real_api_level ${ANDROID_DEFAULT_NDK_API_LEVEL_${ANDROID_ARCH_NAME}} )
foreach( __level ${ANDROID_SUPPORTED_NATIVE_API_LEVELS} )
if( NOT __level GREATER ANDROID_NATIVE_API_LEVEL AND NOT __level LESS __real_api_level )
set( __real_api_level ${__level} )
endif()
endforeach()
if( __real_api_level AND NOT ANDROID_NATIVE_API_LEVEL EQUAL __real_api_level )
message( STATUS "Adjusting Android API level 'android-${ANDROID_NATIVE_API_LEVEL}' to 'android-${__real_api_level}'")
set( ANDROID_NATIVE_API_LEVEL ${__real_api_level} )
endif()
unset(__real_api_level)
# validate
list( FIND ANDROID_SUPPORTED_NATIVE_API_LEVELS "${ANDROID_NATIVE_API_LEVEL}" __levelIdx )
if( __levelIdx EQUAL -1 )
message( SEND_ERROR "Specified Android native API level (${ANDROID_NATIVE_API_LEVEL}) is not supported by your NDK/toolchain." )
message( SEND_ERROR "Specified Android native API level 'android-${ANDROID_NATIVE_API_LEVEL}' is not supported by your NDK/toolchain." )
else()
if( BUILD_WITH_ANDROID_NDK )
__DETECT_NATIVE_API_LEVEL( __realApiLevel "${ANDROID_NDK}/platforms/android-${ANDROID_NATIVE_API_LEVEL}/arch-${ANDROID_ARCH_NAME}/usr/include/android/api-level.h" )
@ -926,7 +972,7 @@ elseif( "${ANDROID_TOOLCHAIN_NAME}" MATCHES "-clang3[.][0-9]?$" )
string( REGEX MATCH "3[.][0-9]$" ANDROID_CLANG_VERSION "${ANDROID_TOOLCHAIN_NAME}")
string( REGEX REPLACE "-clang${ANDROID_CLANG_VERSION}$" "-4.6" ANDROID_GCC_TOOLCHAIN_NAME "${ANDROID_TOOLCHAIN_NAME}" )
if( NOT EXISTS "${ANDROID_NDK}/toolchains/llvm-${ANDROID_CLANG_VERSION}/prebuilt/${ANDROID_NDK_HOST_SYSTEM_NAME}/bin/clang${TOOL_OS_SUFFIX}" )
message( FATAL_ERROR "Could not find the " )
message( FATAL_ERROR "Could not find the Clang compiler driver" )
endif()
set( ANDROID_COMPILER_IS_CLANG 1 )
set( ANDROID_CLANG_TOOLCHAIN_ROOT "${ANDROID_NDK}/toolchains/llvm-${ANDROID_CLANG_VERSION}/prebuilt/${ANDROID_NDK_HOST_SYSTEM_NAME}" )
@ -1140,38 +1186,52 @@ endif()
# NDK flags
if( ARMEABI OR ARMEABI_V7A )
set( ANDROID_CXX_FLAGS "${ANDROID_CXX_FLAGS} -fpic -D__ARM_ARCH_5__ -D__ARM_ARCH_5T__ -D__ARM_ARCH_5E__ -D__ARM_ARCH_5TE__" )
set( ANDROID_CXX_FLAGS "${ANDROID_CXX_FLAGS} -fpic -funwind-tables" )
if( NOT ANDROID_FORCE_ARM_BUILD AND NOT ARMEABI_V6 )
# It is recommended to use the -mthumb compiler flag to force the generation
# of 16-bit Thumb-1 instructions (the default being 32-bit ARM ones).
set( ANDROID_CXX_FLAGS_RELEASE "-mthumb" )
set( ANDROID_CXX_FLAGS_DEBUG "-marm -finline-limit=64" )
set( ANDROID_CXX_FLAGS_RELEASE "-mthumb -fomit-frame-pointer -fno-strict-aliasing" )
set( ANDROID_CXX_FLAGS_DEBUG "-marm -fno-omit-frame-pointer -fno-strict-aliasing" )
if( NOT ANDROID_COMPILER_IS_CLANG )
set( ANDROID_CXX_FLAGS "${ANDROID_CXX_FLAGS} -finline-limit=64" )
endif()
else()
# always compile ARMEABI_V6 in arm mode; otherwise there is no difference from ARMEABI
# O3 instead of O2/Os in release mode - like cmake sets for desktop gcc
set( ANDROID_CXX_FLAGS_RELEASE "-marm" )
set( ANDROID_CXX_FLAGS_DEBUG "-marm -finline-limit=300" )
set( ANDROID_CXX_FLAGS_RELEASE "-marm -fomit-frame-pointer -fstrict-aliasing" )
set( ANDROID_CXX_FLAGS_DEBUG "-marm -fno-omit-frame-pointer -fno-strict-aliasing" )
if( NOT ANDROID_COMPILER_IS_CLANG )
set( ANDROID_CXX_FLAGS "${ANDROID_CXX_FLAGS} -funswitch-loops -finline-limit=300" )
endif()
endif()
elseif( X86 )
set( ANDROID_CXX_FLAGS "${ANDROID_CXX_FLAGS} -funwind-tables" )
set( ANDROID_CXX_FLAGS_RELEASE "" )
set( ANDROID_CXX_FLAGS_DEBUG "-finline-limit=300" )
set( ANDROID_CXX_FLAGS "${ANDROID_CXX_FLAGS} -funwind-tables" )
if( NOT ANDROID_COMPILER_IS_CLANG )
set( ANDROID_CXX_FLAGS "${ANDROID_CXX_FLAGS} -funswitch-loops -finline-limit=300" )
else()
set( ANDROID_CXX_FLAGS "${ANDROID_CXX_FLAGS} -fPIC" )
endif()
set( ANDROID_CXX_FLAGS_RELEASE "-fomit-frame-pointer -fstrict-aliasing" )
set( ANDROID_CXX_FLAGS_DEBUG "-fno-omit-frame-pointer -fno-strict-aliasing" )
elseif( MIPS )
set( ANDROID_CXX_FLAGS "${ANDROID_CXX_FLAGS} -fpic -funwind-tables -fmessage-length=0 -fno-inline-functions-called-once -frename-registers" )
set( ANDROID_CXX_FLAGS_RELEASE "-finline-limit=300 -fno-strict-aliasing" )
set( ANDROID_CXX_FLAGS_DEBUG "-finline-functions -fgcse-after-reload -frerun-cse-after-loop" )
set( ANDROID_CXX_FLAGS "${ANDROID_CXX_FLAGS} -fpic -fno-strict-aliasing -finline-functions -ffunction-sections -funwind-tables -fmessage-length=0" )
set( ANDROID_CXX_FLAGS_RELEASE "-fomit-frame-pointer" )
set( ANDROID_CXX_FLAGS_DEBUG "-fno-omit-frame-pointer" )
if( NOT ANDROID_COMPILER_IS_CLANG )
set( ANDROID_CXX_FLAGS "${ANDROID_CXX_FLAGS} -fno-inline-functions-called-once -fgcse-after-reload -frerun-cse-after-loop -frename-registers" )
set( ANDROID_CXX_FLAGS_RELEASE "${ANDROID_CXX_FLAGS_RELEASE} -funswitch-loops -finline-limit=300" )
endif()
elseif()
set( ANDROID_CXX_FLAGS_RELEASE "" )
set( ANDROID_CXX_FLAGS_DEBUG "" )
endif()
if( NOT X86 )
set( ANDROID_CXX_FLAGS "-Wno-psabi ${ANDROID_CXX_FLAGS}" )
set( ANDROID_CXX_FLAGS "${ANDROID_CXX_FLAGS} -fsigned-char" ) # good/necessary when porting desktop libraries
if( NOT X86 AND NOT ANDROID_COMPILER_IS_CLANG )
set( ANDROID_CXX_FLAGS "-Wno-psabi ${ANDROID_CXX_FLAGS}" )
endif()
set( ANDROID_CXX_FLAGS "${ANDROID_CXX_FLAGS} -fsigned-char" ) # good/necessary when porting desktop libraries
set( ANDROID_CXX_FLAGS_RELEASE "${ANDROID_CXX_FLAGS_RELEASE} -fomit-frame-pointer" )
set( ANDROID_CXX_FLAGS_DEBUG "${ANDROID_CXX_FLAGS_DEBUG} -fno-strict-aliasing -fno-omit-frame-pointer" )
if( NOT ANDROID_COMPILER_VERSION VERSION_LESS "4.6" )
set( ANDROID_CXX_FLAGS "${ANDROID_CXX_FLAGS} -no-canonical-prefixes" ) # see https://android-review.googlesource.com/#/c/47564/
endif()
# ABI-specific flags
if( ARMEABI_V7A )
@ -1308,9 +1368,6 @@ if( ANDROID_COMPILER_IS_CLANG )
set( ANDROID_CXX_FLAGS "-target ${ANDROID_LLVM_TRIPLE} ${ANDROID_CXX_FLAGS}" )
endif()
if( BUILD_WITH_ANDROID_NDK )
if(ANDROID_ARCH_NAME STREQUAL "arm" )
set( ANDROID_CXX_FLAGS "-isystem ${ANDROID_CLANG_TOOLCHAIN_ROOT}/lib/clang/${ANDROID_CLANG_VERSION}/include ${ANDROID_CXX_FLAGS}" )
endif()
set( ANDROID_CXX_FLAGS "-gcc-toolchain ${ANDROID_TOOLCHAIN_ROOT} ${ANDROID_CXX_FLAGS}" )
endif()
endif()
@ -1326,6 +1383,12 @@ set( CMAKE_SHARED_LINKER_FLAGS "" CACHE STRING "shared li
set( CMAKE_MODULE_LINKER_FLAGS "" CACHE STRING "module linker flags" )
set( CMAKE_EXE_LINKER_FLAGS "-Wl,-z,nocopyreloc" CACHE STRING "executable linker flags" )
# put flags to cache (for debug purpose only)
set( ANDROID_CXX_FLAGS "${ANDROID_CXX_FLAGS}" CACHE INTERNAL "Android specific c/c++ flags" )
set( ANDROID_CXX_FLAGS_RELEASE "${ANDROID_CXX_FLAGS_RELEASE}" CACHE INTERNAL "Android specific c/c++ Release flags" )
set( ANDROID_CXX_FLAGS_DEBUG "${ANDROID_CXX_FLAGS_DEBUG}" CACHE INTERNAL "Android specific c/c++ Debug flags" )
set( ANDROID_LINKER_FLAGS "${ANDROID_LINKER_FLAGS}" CACHE INTERNAL "Android specific c/c++ linker flags" )
# finish flags
set( CMAKE_CXX_FLAGS "${ANDROID_CXX_FLAGS} ${CMAKE_CXX_FLAGS}" )
set( CMAKE_C_FLAGS "${ANDROID_CXX_FLAGS} ${CMAKE_C_FLAGS}" )
@ -1456,6 +1519,7 @@ endmacro()
if( NOT PROJECT_NAME STREQUAL "CMAKE_TRY_COMPILE" )
set( __toolchain_config "")
foreach( __var NDK_CCACHE LIBRARY_OUTPUT_PATH_ROOT ANDROID_FORBID_SYGWIN ANDROID_SET_OBSOLETE_VARIABLES
ANDROID_NDK_HOST_X64
ANDROID_NDK
ANDROID_STANDALONE_TOOLCHAIN
ANDROID_TOOLCHAIN_NAME
@ -1512,6 +1576,7 @@ endif()
# ANDROID_NDK
# ANDROID_STANDALONE_TOOLCHAIN
# ANDROID_TOOLCHAIN_NAME : the NDK name of compiler toolchain
# ANDROID_NDK_HOST_X64 : try to use x86_64 toolchain (default for x64 host systems)
# LIBRARY_OUTPUT_PATH_ROOT : <any valid path>
# NDK_CCACHE : <path to your ccache executable>
# Obsolete:
@ -1536,7 +1601,7 @@ 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, r8d; set only for NDK
# ANDROID_NDK_RELEASE : one of r5, r5b, r5c, r6, r6b, r7, r7b, r7c, r8, r8b, r8c, r8d, r8e; 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

4
android/service/doc/JavaHelper.rst
View File

@ -51,3 +51,7 @@ OpenCV version constants
.. data:: OPENCV_VERSION_2_4_4
OpenCV Library version 2.4.4
.. data:: OPENCV_VERSION_2_4_5
OpenCV Library version 2.4.5

7
android/service/engine/AndroidManifest.xml
View File

@ -1,8 +1,8 @@
<?xml version="1.0" encoding="utf-8"?>
<manifest xmlns:android="http://schemas.android.com/apk/res/android"
package="org.opencv.engine"
android:versionCode="26@ANDROID_PLATFORM_VERSION_CODE@"
android:versionName="2.6" >
android:versionCode="27@ANDROID_PLATFORM_VERSION_CODE@"
android:versionName="2.7" >
<uses-sdk android:minSdkVersion="@ANDROID_NATIVE_API_LEVEL@" />
<uses-feature android:name="android.hardware.touchscreen" android:required="false"/>
@ -26,6 +26,5 @@
<category android:name="android.intent.category.LAUNCHER" />
</intent-filter>
</activity>
</application>
</application>
</manifest>

2
android/service/engine/jni/BinderComponent/OpenCVEngine.cpp
View File

@ -15,7 +15,7 @@ using namespace android;
const int OpenCVEngine::Platform = DetectKnownPlatforms();
const int OpenCVEngine::CpuID = GetCpuID();
const int OpenCVEngine::KnownVersions[] = {2040000, 2040100, 2040200, 2040300, 2040301, 2040302, 2040400};
const int OpenCVEngine::KnownVersions[] = {2040000, 2040100, 2040200, 2040300, 2040301, 2040302, 2040400, 2040500};
bool OpenCVEngine::ValidateVersion(int version)
{

2
android/service/engine/jni/Tests/OpenCVEngineTest.cpp
View File

@ -294,7 +294,7 @@ TEST(OpenCVEngineTest, GetPathFor2_4_5)
Starter.PackageManager->InstallVersion(2040500, PLATFORM_UNKNOWN, ARCH_ARMv7);
EXPECT_FALSE(NULL == Engine.get());
String16 result = Engine->GetLibPathByVersion(String16("2.4.5"));
EXPECT_EQ(0, result.size()); // 2.4.5 is not published yet
EXPECT_STREQ("/data/data/org.opencv.lib_v24_armv7a/lib", String8(result).string());
}
#endif

2
android/service/engine/project.properties
View File

@ -11,4 +11,4 @@
#proguard.config=${sdk.dir}/tools/proguard/proguard-android.txt:proguard-project.txt
# Project target.
target=android-9
target=android-8

12
android/service/readme.txt
View File

@ -14,20 +14,20 @@ manually using adb tool:
.. code-block:: sh
adb install OpenCV-2.4.4-android-sdk/apk/OpenCV_2.4.4_Manager_2.6_<platform>.apk
adb install OpenCV-2.4.5-android-sdk/apk/OpenCV_2.4.5_Manager_2.7_<platform>.apk
Use the table below to determine proper OpenCV Manager package for your device:
+------------------------------+--------------+---------------------------------------------------+
| Hardware Platform | Android ver. | Package name |
+==============================+==============+===================================================+
| armeabi-v7a (ARMv7-A + NEON) | >= 2.3 | OpenCV_2.4.4_Manager_2.6_armv7a-neon.apk |
| armeabi-v7a (ARMv7-A + NEON) | >= 2.3 | OpenCV_2.4.5_Manager_2.7_armv7a-neon.apk |
+------------------------------+--------------+---------------------------------------------------+
| armeabi-v7a (ARMv7-A + NEON) | = 2.2 | OpenCV_2.4.4_Manager_2.6_armv7a-neon-android8.apk |
| armeabi-v7a (ARMv7-A + NEON) | = 2.2 | OpenCV_2.4.5_Manager_2.7_armv7a-neon-android8.apk |
+------------------------------+--------------+---------------------------------------------------+
| armeabi (ARMv5, ARMv6) | >= 2.3 | OpenCV_2.4.4_Manager_2.6_armeabi.apk |
| armeabi (ARMv5, ARMv6) | >= 2.3 | OpenCV_2.4.5_Manager_2.7_armeabi.apk |
+------------------------------+--------------+---------------------------------------------------+
| Intel x86 | >= 2.3 | OpenCV_2.4.4_Manager_2.6_x86.apk |
| Intel x86 | >= 2.3 | OpenCV_2.4.5_Manager_2.7_x86.apk |
+------------------------------+--------------+---------------------------------------------------+
| MIPS | >= 2.3 | OpenCV_2.4.4_Manager_2.6_mips.apk |
| MIPS | >= 2.3 | OpenCV_2.4.5_Manager_2.7_mips.apk |
+------------------------------+--------------+---------------------------------------------------+

1
cmake/OpenCVDetectAndroidSDK.cmake
View File

@ -278,6 +278,7 @@ macro(add_android_project target path)
if (NATIVE_APP_GLUE)
include_directories(${ANDROID_NDK}/sources/android/native_app_glue)
list(APPEND android_proj_jni_files ${ANDROID_NDK}/sources/android/native_app_glue/android_native_app_glue.c)
ocv_warnings_disable(CMAKE_C_FLAGS -Wstrict-prototypes -Wunused-parameter -Wmissing-prototypes)
set(android_proj_NATIVE_DEPS ${android_proj_NATIVE_DEPS} android)
endif()

7
cmake/OpenCVDetectCUDA.cmake
View File

@ -57,7 +57,7 @@ if(CUDA_FOUND)
elseif(CUDA_GENERATION STREQUAL "Kepler")
set(__cuda_arch_bin "3.0")
elseif(CUDA_GENERATION STREQUAL "Auto")
execute_process( COMMAND "${CUDA_NVCC_EXECUTABLE}" "${OpenCV_SOURCE_DIR}/cmake/OpenCVDetectCudaArch.cu" "--run"
execute_process( COMMAND "${CUDA_NVCC_EXECUTABLE}" "${OpenCV_SOURCE_DIR}/cmake/checks/OpenCVDetectCudaArch.cu" "--run"
WORKING_DIRECTORY "${CMAKE_BINARY_DIR}${CMAKE_FILES_DIRECTORY}/CMakeTmp/"
RESULT_VARIABLE _nvcc_res OUTPUT_VARIABLE _nvcc_out
ERROR_QUIET OUTPUT_STRIP_TRAILING_WHITESPACE)
@ -142,11 +142,14 @@ if(CUDA_FOUND)
foreach(var CMAKE_CXX_FLAGS CMAKE_CXX_FLAGS_RELEASE CMAKE_CXX_FLAGS_DEBUG)
set(${var}_backup_in_cuda_compile_ "${${var}}")
# we reomove /EHa as it leasd warnings under windows
# we remove /EHa as it generates warnings under windows
string(REPLACE "/EHa" "" ${var} "${${var}}")
# we remove -ggdb3 flag as it leads to preprocessor errors when compiling CUDA files (CUDA 4.1)
string(REPLACE "-ggdb3" "" ${var} "${${var}}")
# we remove -Wsign-promo as it generates warnings under linux
string(REPLACE "-Wsign-promo" "" ${var} "${${var}}")
endforeach()
if(BUILD_SHARED_LIBS)

6
cmake/OpenCVDetectCXXCompiler.cmake
View File

@ -93,14 +93,16 @@ elseif(CMAKE_COMPILER_IS_GNUCXX)
execute_process(COMMAND ${CMAKE_CXX_COMPILER} -dumpmachine
OUTPUT_VARIABLE CMAKE_OPENCV_GCC_TARGET_MACHINE
OUTPUT_STRIP_TRAILING_WHITESPACE)
if(CMAKE_OPENCV_GCC_TARGET_MACHINE MATCHES "64")
if(CMAKE_OPENCV_GCC_TARGET_MACHINE MATCHES "amd64|x86_64|AMD64")
set(MINGW64 1)
endif()
endif()
endif()
if(CMAKE_SYSTEM_PROCESSOR MATCHES "amd64.*|x86_64.*|AMD64.*" OR CMAKE_GENERATOR MATCHES "Visual Studio.*Win64")
if(MINGW64 OR CMAKE_SYSTEM_PROCESSOR MATCHES "amd64.*|x86_64.*|AMD64.*" OR CMAKE_GENERATOR MATCHES "Visual Studio.*Win64")
set(X86_64 1)
elseif(CMAKE_SYSTEM_PROCESSOR MATCHES "i686.*|i386.*|x86.*|amd64.*|AMD64.*")
set(X86 1)
elseif (CMAKE_SYSTEM_PROCESSOR MATCHES "arm.*|ARM.*")
set(ARM 1)
endif()

12
cmake/OpenCVFindLibsGUI.cmake
View File

@ -2,6 +2,16 @@
# Detect 3rd-party GUI libraries
# ----------------------------------------------------------------------------
#--- Win32 UI ---
ocv_clear_vars(HAVE_WIN32UI)
if(WITH_WIN32UI)
TRY_COMPILE(HAVE_WIN32UI
"${OPENCV_BINARY_DIR}/CMakeFiles/CMakeTmp"
"${OpenCV_SOURCE_DIR}/cmake/checks/win32uitest.cpp"
CMAKE_FLAGS "\"user32.lib\" \"gdi32.lib\""
OUTPUT_VARIABLE OUTPUT)
endif(WITH_WIN32UI)
# --- QT4 ---
ocv_clear_vars(HAVE_QT)
if(WITH_QT)
@ -25,7 +35,7 @@ endif()
# --- OpenGl ---
ocv_clear_vars(HAVE_OPENGL HAVE_QT_OPENGL)
if(WITH_OPENGL)
if(WIN32 OR QT_QTOPENGL_FOUND OR HAVE_GTKGLEXT)
if(WITH_WIN32UI OR (HAVE_QT AND QT_QTOPENGL_FOUND) OR HAVE_GTKGLEXT)
find_package (OpenGL QUIET)
if(OPENGL_FOUND)
set(HAVE_OPENGL TRUE)

1
cmake/OpenCVFindLibsGrfmt.cmake
View File

@ -151,6 +151,7 @@ if(WITH_PNG AND NOT IOS)
else()
include(FindPNG)
if(PNG_FOUND)
include(CheckIncludeFile)
check_include_file("${PNG_PNG_INCLUDE_DIR}/png.h" HAVE_PNG_H)
check_include_file("${PNG_PNG_INCLUDE_DIR}/libpng/png.h" HAVE_LIBPNG_PNG_H)
if(HAVE_PNG_H)

10
cmake/OpenCVFindLibsPerf.cmake
View File

@ -88,8 +88,9 @@ endif()
# --- OpenMP ---
if(NOT HAVE_TBB AND NOT HAVE_CSTRIPES)
set(_fname "${CMAKE_BINARY_DIR}${CMAKE_FILES_DIRECTORY}/CMakeTmp/omptest.cpp")
FILE(WRITE "${_fname}" "#ifndef _OPENMP\n#error\n#endif\nint main() { return 0; }\n")
TRY_COMPILE(HAVE_OPENMP "${CMAKE_BINARY_DIR}${CMAKE_FILES_DIRECTORY}/CMakeTmp" "${_fname}")
file(WRITE "${_fname}" "#ifndef _OPENMP\n#error\n#endif\nint main() { return 0; }\n")
try_compile(HAVE_OPENMP "${CMAKE_BINARY_DIR}" "${_fname}")
file(REMOVE "${_fname}")
else()
set(HAVE_OPENMP 0)
endif()
@ -104,8 +105,9 @@ endif()
# --- Concurrency ---
if(MSVC AND NOT HAVE_TBB AND NOT HAVE_CSTRIPES AND NOT HAVE_OPENMP)
set(_fname "${CMAKE_BINARY_DIR}${CMAKE_FILES_DIRECTORY}/CMakeTmp/concurrencytest.cpp")
FILE(WRITE "${_fname}" "#if _MSC_VER < 1600\n#error\n#endif\nint main() { return 0; }\n")
TRY_COMPILE(HAVE_CONCURRENCY "${CMAKE_BINARY_DIR}${CMAKE_FILES_DIRECTORY}/CMakeTmp" "${_fname}")
file(WRITE "${_fname}" "#if _MSC_VER < 1600\n#error\n#endif\nint main() { return 0; }\n")
try_compile(HAVE_CONCURRENCY "${CMAKE_BINARY_DIR}" "${_fname}")
file(REMOVE "${_fname}")
else()
set(HAVE_CONCURRENCY 0)
endif()

26
cmake/OpenCVFindLibsVideo.cmake
View File

@ -2,6 +2,15 @@
# Detect 3rd-party video IO libraries
# ----------------------------------------------------------------------------
ocv_clear_vars(HAVE_VFW)
if (WITH_VFW)
TRY_COMPILE(HAVE_VFW
"${OPENCV_BINARY_DIR}/CMakeFiles/CMakeTmp"
"${OpenCV_SOURCE_DIR}/cmake/checks/vfwtest.cpp"
CMAKE_FLAGS "-DLINK_LIBRARIES:STRING=vfw32"
OUTPUT_VARIABLE OUTPUT)
endif(WITH_VFW)
# --- GStreamer ---
ocv_clear_vars(HAVE_GSTREAMER)
# try to find gstreamer 0.10 first
@ -66,7 +75,7 @@ if(WITH_PVAPI)
set(PVAPI_SDK_SUBDIR x86)
elseif(X86_64)
set(PVAPI_SDK_SUBDIR x64)
elseif(CMAKE_SYSTEM_PROCESSOR MATCHES arm)
elseif(ARM)
set(PVAPI_SDK_SUBDIR arm)
endif()
@ -140,7 +149,7 @@ endif(WITH_XIMEA)
# --- FFMPEG ---
ocv_clear_vars(HAVE_FFMPEG HAVE_FFMPEG_CODEC HAVE_FFMPEG_FORMAT HAVE_FFMPEG_UTIL HAVE_FFMPEG_SWSCALE HAVE_GENTOO_FFMPEG HAVE_FFMPEG_FFMPEG)
if(WITH_FFMPEG)
if(WIN32)
if(WIN32 AND NOT ARM)
include("${OpenCV_SOURCE_DIR}/3rdparty/ffmpeg/ffmpeg_version.cmake")
elseif(UNIX)
CHECK_MODULE(libavcodec HAVE_FFMPEG_CODEC)
@ -204,11 +213,16 @@ if(WITH_FFMPEG)
endif(APPLE)
endif(WITH_FFMPEG)
# --- VideoInput ---
if(WITH_VIDEOINPUT)
# --- VideoInput/DirectShow ---
if(WITH_DSHOW)
# always have VideoInput on Windows
set(HAVE_VIDEOINPUT 1)
endif(WITH_VIDEOINPUT)
set(HAVE_DSHOW 1)
endif(WITH_DSHOW)
# --- VideoInput/Microsoft Media Foundation ---
if(WITH_MSMF)
check_include_file(Mfapi.h HAVE_MSMF)
endif(WITH_MSMF)
# --- Extra HighGUI libs on Windows ---
if(WIN32)

1
cmake/OpenCVLegacyOptions.cmake
View File

@ -12,6 +12,7 @@ endmacro()
ocv_legacy_option(BUILD_NEW_PYTHON_SUPPORT BUILD_opencv_python)
ocv_legacy_option(BUILD_JAVA_SUPPORT BUILD_opencv_java)
ocv_legacy_option(WITH_ANDROID_CAMERA BUILD_opencv_androidcamera)
ocv_legacy_option(WITH_VIDEOINPUT WITH_DSHOW)
if(DEFINED OPENCV_BUILD_3RDPARTY_LIBS)
set(BUILD_ZLIB ${OPENCV_BUILD_3RDPARTY_LIBS} CACHE BOOL "Set via depricated OPENCV_BUILD_3RDPARTY_LIBS" FORCE)

0
cmake/OpenCVDetectCudaArch.cu → cmake/checks/OpenCVDetectCudaArch.cu
View File

10
cmake/checks/vfwtest.cpp Normal file
View File

@ -0,0 +1,10 @@
#include <windows.h>
#include <vfw.h>
int main()
{
AVIFileInit();
AVIFileExit();
return 0;
}

11
cmake/checks/win32uitest.cpp Normal file
View File

@ -0,0 +1,11 @@
#include <windows.h>
int main(int argc, char** argv)
{
CreateWindow(NULL /*lpClassName*/, NULL /*lpWindowName*/, 0 /*dwStyle*/, 0 /*x*/,
0 /*y*/, 0 /*nWidth*/, 0 /*nHeight*/, NULL /*hWndParent*/, NULL /*hMenu*/,
NULL /*hInstance*/, NULL /*lpParam*/);
DeleteDC(NULL);
return 0;
}

13
cmake/templates/cvconfig.h.cmake
View File

@ -13,6 +13,9 @@
*/
#cmakedefine HAVE_ALLOCA_H 1
/* Video for Windows support */
#cmakedefine HAVE_VFW
/* V4L capturing support */
#cmakedefine HAVE_CAMV4L
@ -55,6 +58,9 @@
/* GTK+ 2.0 Thread support */
#cmakedefine HAVE_GTHREAD
/* Win32 UI */
#cmakedefine HAVE_WIN32UI
/* GTK+ 2.x toolkit */
#cmakedefine HAVE_GTK
@ -205,8 +211,11 @@
/* AMD's Basic Linear Algebra Subprograms Library*/
#cmakedefine HAVE_CLAMDBLAS
/* VideoInput library */
#cmakedefine HAVE_VIDEOINPUT
/* DirectShow Video Capture library */
#cmakedefine HAVE_DSHOW
/* Microsoft Media Foundation Capture library */
#cmakedefine HAVE_MSMF
/* XIMEA camera support */
#cmakedefine HAVE_XIMEA

2
doc/_themes/blue/layout.html vendored
View File

@ -183,7 +183,7 @@
{% if theme_lang == 'c' %}
{% endif %}
{% if theme_lang == 'cpp' %}
<li>Try the <a href="http://opencv.willowgarage.com/wiki/Welcome?action=AttachFile&do=get&target=opencv_cheatsheet.pdf">Cheatsheet</a>.</li>
<li>Try the <a href="http://docs.opencv.org/trunk/opencv_cheatsheet.pdf">Cheatsheet</a>.</li>
{% endif %}
{% if theme_lang == 'py' %}
<li>Try the <a href="cookbook.html">Cookbook</a>.</li>

4
doc/tutorials/features2d/feature_description/feature_description.rst
View File

@ -13,7 +13,7 @@ In this tutorial you will learn how to:
* Use the :descriptor_extractor:`DescriptorExtractor<>` interface in order to find the feature vector correspondent to the keypoints. Specifically:
* Use :surf_descriptor_extractor:`SurfDescriptorExtractor<>` and its function :descriptor_extractor:`compute<>` to perform the required calculations.
* Use a :brute_force_matcher:`BruteForceMatcher<>` to match the features vector
* Use a :brute_force_matcher:`BFMatcher<>` to match the features vector
* Use the function :draw_matches:`drawMatches<>` to draw the detected matches.
@ -69,7 +69,7 @@ This tutorial code's is shown lines below. You can also download it from `here <
extractor.compute( img_2, keypoints_2, descriptors_2 );
//-- Step 3: Matching descriptor vectors with a brute force matcher
BruteForceMatcher< L2<float> > matcher;
BFMatcher matcher(NORM_L2);
std::vector< DMatch > matches;
matcher.match( descriptors_1, descriptors_2, matches );

14
doc/tutorials/introduction/android_binary_package/O4A_SDK.rst
View File

@ -48,10 +48,10 @@ The structure of package contents looks as follows:
::
OpenCV-2.4.4-android-sdk
OpenCV-2.4.5-android-sdk
|_ apk
| |_ OpenCV_2.4.4_binary_pack_armv7a.apk
| |_ OpenCV_2.4.4_Manager_2.6_XXX.apk
| |_ OpenCV_2.4.5_binary_pack_armv7a.apk
| |_ OpenCV_2.4.5_Manager_2.7_XXX.apk
|
|_ doc
|_ samples
@ -157,10 +157,10 @@ Get the OpenCV4Android SDK
.. code-block:: bash
unzip ~/Downloads/OpenCV-2.4.4-android-sdk.zip
unzip ~/Downloads/OpenCV-2.4.5-android-sdk.zip
.. |opencv_android_bin_pack| replace:: :file:`OpenCV-2.4.4-android-sdk.zip`
.. _opencv_android_bin_pack_url: http://sourceforge.net/projects/opencvlibrary/files/opencv-android/2.4.4/OpenCV-2.4.4-android-sdk.zip/download
.. |opencv_android_bin_pack| replace:: :file:`OpenCV-2.4.5-android-sdk.zip`
.. _opencv_android_bin_pack_url: http://sourceforge.net/projects/opencvlibrary/files/opencv-android/2.4.5/OpenCV-2.4.5-android-sdk.zip/download
.. |opencv_android_bin_pack_url| replace:: |opencv_android_bin_pack|
.. |seven_zip| replace:: 7-Zip
.. _seven_zip: http://www.7-zip.org/
@ -295,7 +295,7 @@ Well, running samples from Eclipse is very simple:
.. code-block:: sh
:linenos:
<Android SDK path>/platform-tools/adb install <OpenCV4Android SDK path>/apk/OpenCV_2.4.4_Manager_2.6_armv7a-neon.apk
<Android SDK path>/platform-tools/adb install <OpenCV4Android SDK path>/apk/OpenCV_2.4.5_Manager_2.7_armv7a-neon.apk
.. note:: ``armeabi``, ``armv7a-neon``, ``arm7a-neon-android8``, ``mips`` and ``x86`` stand for
platform targets:

16
doc/tutorials/introduction/android_binary_package/dev_with_OCV_on_Android.rst
View File

@ -55,14 +55,14 @@ Manager to access OpenCV libraries externally installed in the target system.
:guilabel:`File -> Import -> Existing project in your workspace`.
Press :guilabel:`Browse` button and locate OpenCV4Android SDK
(:file:`OpenCV-2.4.4-android-sdk/sdk`).
(:file:`OpenCV-2.4.5-android-sdk/sdk`).
.. image:: images/eclipse_opencv_dependency0.png
:alt: Add dependency from OpenCV library
:align: center
#. In application project add a reference to the OpenCV Java SDK in
:guilabel:`Project -> Properties -> Android -> Library -> Add` select ``OpenCV Library - 2.4.4``.
:guilabel:`Project -> Properties -> Android -> Library -> Add` select ``OpenCV Library - 2.4.5``.
.. image:: images/eclipse_opencv_dependency1.png
:alt: Add dependency from OpenCV library
@ -101,7 +101,7 @@ See the "15-puzzle" OpenCV sample for details.
public void onResume()
{
super.onResume();
OpenCVLoader.initAsync(OpenCVLoader.OPENCV_VERSION_2_4_3, this, mLoaderCallback);
OpenCVLoader.initAsync(OpenCVLoader.OPENCV_VERSION_2_4_5, this, mLoaderCallback);
}
...
@ -128,27 +128,27 @@ described above.
#. Add the OpenCV library project to your workspace the same way as for the async initialization
above. Use menu :guilabel:`File -> Import -> Existing project in your workspace`,
press :guilabel:`Browse` button and select OpenCV SDK path
(:file:`OpenCV-2.4.4-android-sdk/sdk`).
(:file:`OpenCV-2.4.5-android-sdk/sdk`).
.. image:: images/eclipse_opencv_dependency0.png
:alt: Add dependency from OpenCV library
:align: center
#. In the application project add a reference to the OpenCV4Android SDK in
:guilabel:`Project -> Properties -> Android -> Library -> Add` select ``OpenCV Library - 2.4.4``;
:guilabel:`Project -> Properties -> Android -> Library -> Add` select ``OpenCV Library - 2.4.5``;
.. image:: images/eclipse_opencv_dependency1.png
:alt: Add dependency from OpenCV library
:align: center
#. If your application project **doesn't have a JNI part**, just copy the corresponding OpenCV
native libs from :file:`<OpenCV-2.4.4-android-sdk>/sdk/native/libs/<target_arch>` to your
native libs from :file:`<OpenCV-2.4.5-android-sdk>/sdk/native/libs/<target_arch>` to your
project directory to folder :file:`libs/<target_arch>`.
In case of the application project **with a JNI part**, instead of manual libraries copying you
need to modify your ``Android.mk`` file:
add the following two code lines after the ``"include $(CLEAR_VARS)"`` and before
``"include path_to_OpenCV-2.4.4-android-sdk/sdk/native/jni/OpenCV.mk"``
``"include path_to_OpenCV-2.4.5-android-sdk/sdk/native/jni/OpenCV.mk"``
.. code-block:: make
:linenos:
@ -221,7 +221,7 @@ taken:
.. code-block:: make
include C:\Work\OpenCV4Android\OpenCV-2.4.4-android-sdk\sdk\native\jni\OpenCV.mk
include C:\Work\OpenCV4Android\OpenCV-2.4.5-android-sdk\sdk\native\jni\OpenCV.mk
Should be inserted into the :file:`jni/Android.mk` file **after** this line:

2
doc/tutorials/introduction/linux_eclipse/linux_eclipse.rst
View File

@ -201,8 +201,6 @@ Assuming that the image to use as the argument would be located in <DisplayImage
V2: Using CMake+OpenCV with Eclipse (plugin CDT)
==================================================
(See the `getting started <http://opencv.willowgarage.com/wiki/Getting_started>` section of the OpenCV Wiki)
Say you have or create a new file, *helloworld.cpp* in a directory called *foo*:
.. code-block:: cpp

2
modules/calib3d/test/test_solvepnp_ransac.cpp
View File

@ -239,7 +239,7 @@ protected:
}
};
TEST(Calib3d_SolvePnPRansac, accuracy) { CV_solvePnPRansac_Test test; test.safe_run(); }
TEST(DISABLED_Calib3d_SolvePnPRansac, accuracy) { CV_solvePnPRansac_Test test; test.safe_run(); }
TEST(Calib3d_SolvePnP, accuracy) { CV_solvePnP_Test test; test.safe_run(); }

26
modules/calib3d/test/test_stereomatching.cpp
View File

@ -460,14 +460,29 @@ void CV_StereoMatchingTest::run(int)
continue;
}
int dispScaleFactor = datasetsParams[datasetName].dispScaleFactor;
Mat tmp; trueLeftDisp.convertTo( tmp, CV_32FC1, 1.f/dispScaleFactor ); trueLeftDisp = tmp; tmp.release();
Mat tmp;
trueLeftDisp.convertTo( tmp, CV_32FC1, 1.f/dispScaleFactor );
trueLeftDisp = tmp;
tmp.release();
if( !trueRightDisp.empty() )
trueRightDisp.convertTo( tmp, CV_32FC1, 1.f/dispScaleFactor ); trueRightDisp = tmp; tmp.release();
{
trueRightDisp.convertTo( tmp, CV_32FC1, 1.f/dispScaleFactor );
trueRightDisp = tmp;
tmp.release();
}
Mat leftDisp, rightDisp;
int ignBorder = max(runStereoMatchingAlgorithm(leftImg, rightImg, leftDisp, rightDisp, ci), EVAL_IGNORE_BORDER);
leftDisp.convertTo( tmp, CV_32FC1 ); leftDisp = tmp; tmp.release();
rightDisp.convertTo( tmp, CV_32FC1 ); rightDisp = tmp; tmp.release();
leftDisp.convertTo( tmp, CV_32FC1 );
leftDisp = tmp;
tmp.release();
rightDisp.convertTo( tmp, CV_32FC1 );
rightDisp = tmp;
tmp.release();
int tempCode = processStereoMatchingResults( resFS, ci, isWrite,
leftImg, rightImg, trueLeftDisp, trueRightDisp, leftDisp, rightDisp, QualityEvalParams(ignBorder));
@ -531,7 +546,8 @@ int CV_StereoMatchingTest::processStereoMatchingResults( FileStorage& fs, int ca
// rightDisp is not used in current test virsion
int code = cvtest::TS::OK;
assert( fs.isOpened() );
assert( trueLeftDisp.type() == CV_32FC1 && trueRightDisp.type() == CV_32FC1 );
assert( trueLeftDisp.type() == CV_32FC1 );
assert( trueRightDisp.empty() || trueRightDisp.type() == CV_32FC1 );
assert( leftDisp.type() == CV_32FC1 && rightDisp.type() == CV_32FC1 );
// get masks for unknown ground truth disparity values

2
modules/contrib/doc/facerec/facerec_tutorial.rst
View File

@ -7,7 +7,7 @@ Face Recognition with OpenCV
Introduction
============
`OpenCV (Open Source Computer Vision) <http://opencv.willowgarage.com>`_ is a popular computer vision library started by `Intel <http://www.intel.com>`_ in 1999. The cross-platform library sets its focus on real-time image processing and includes patent-free implementations of the latest computer vision algorithms. In 2008 `Willow Garage <http://www.willowgarage.com>`_ took over support and OpenCV 2.3.1 now comes with a programming interface to C, C++, `Python <http://www.python.org>`_ and `Android <http://www.android.com>`_. OpenCV is released under a BSD license so it is used in academic projects and commercial products alike.
`OpenCV (Open Source Computer Vision) <http://opencv.org>`_ is a popular computer vision library started by `Intel <http://www.intel.com>`_ in 1999. The cross-platform library sets its focus on real-time image processing and includes patent-free implementations of the latest computer vision algorithms. In 2008 `Willow Garage <http://www.willowgarage.com>`_ took over support and OpenCV 2.3.1 now comes with a programming interface to C, C++, `Python <http://www.python.org>`_ and `Android <http://www.android.com>`_. OpenCV is released under a BSD license so it is used in academic projects and commercial products alike.
OpenCV 2.4 now comes with the very new :ocv:class:`FaceRecognizer` class for face recognition, so you can start experimenting with face recognition right away. This document is the guide I've wished for, when I was working myself into face recognition. It shows you how to perform face recognition with :ocv:class:`FaceRecognizer` in OpenCV (with full source code listings) and gives you an introduction into the algorithms behind. I'll also show how to create the visualizations you can find in many publications, because a lot of people asked for.

2
modules/contrib/doc/facerec/src/CMakeLists.txt
View File

@ -6,7 +6,7 @@ project(facerec_cpp_samples)
#SET(OpenCV_DIR /path/to/your/opencv/installation)
# packages
find_package(OpenCV REQUIRED) # http://opencv.willowgarage.com
find_package(OpenCV REQUIRED) # http://opencv.org
# probably you should loop through the sample files here
add_executable(facerec_demo facerec_demo.cpp)

2
modules/contrib/include/opencv2/contrib/contrib.hpp
View File

@ -45,4 +45,4 @@
#error this is a compatibility header which should not be used inside the OpenCV library
#endif
#include "opencv2/contrib.hpp"
#include "opencv2/contrib.hpp"

2
modules/contrib/src/ba.cpp
View File

@ -1106,7 +1106,7 @@ void LevMarqSparse::bundleAdjust( std::vector<Point3d>& points, //positions of p
Mat rot_vec = levmarP.rowRange(i*num_cam_param, i*num_cam_param+3);
Rodrigues( rot_vec, R[i] );
//translation
T[i] = levmarP.rowRange(i*num_cam_param + 3, i*num_cam_param+6);
levmarP.rowRange(i*num_cam_param + 3, i*num_cam_param+6).copyTo(T[i]);
//intrinsic camera matrix
double* intr_data = (double*)cameraMatrix[i].data;

1
modules/contrib/src/fuzzymeanshifttracker.cpp
View File

@ -380,6 +380,7 @@ void CvFuzzyMeanShiftTracker::SearchWindow::initDepthValues(IplImage *maskImage,
{
if (*depthData)
{
d = *depthData;
m1 += d;
if (d < mind)
mind = d;

2
modules/core/doc/intro.rst
View File

@ -4,7 +4,7 @@ Introduction
.. highlight:: cpp
OpenCV (Open Source Computer Vision Library: http://opencv.willowgarage.com/wiki/) is an open-source BSD-licensed library that includes several hundreds of computer vision algorithms. The document describes the so-called OpenCV 2.x API, which is essentially a C++ API, as opposite to the C-based OpenCV 1.x API. The latter is described in opencv1x.pdf.
OpenCV (Open Source Computer Vision Library: http://opencv.org) is an open-source BSD-licensed library that includes several hundreds of computer vision algorithms. The document describes the so-called OpenCV 2.x API, which is essentially a C++ API, as opposite to the C-based OpenCV 1.x API. The latter is described in opencv1x.pdf.
OpenCV has a modular structure, which means that the package includes several shared or static libraries. The following modules are available:

2
modules/core/include/opencv2/core/core.hpp
View File

@ -45,4 +45,4 @@
#error this is a compatibility header which should not be used inside the OpenCV library
#endif
#include "opencv2/core.hpp"
#include "opencv2/core.hpp"

10
modules/core/include/opencv2/core/cvdef.h
View File

@ -360,6 +360,8 @@ CV_INLINE int cvRound( double value )
fistp t;
}
return t;
#elif defined _MSC_VER && defined _M_ARM && defined HAVE_TEGRA_OPTIMIZATION
TEGRA_ROUND(value);
#elif defined HAVE_LRINT || defined CV_ICC || defined __GNUC__
# ifdef HAVE_TEGRA_OPTIMIZATION
TEGRA_ROUND(value);
@ -367,8 +369,12 @@ CV_INLINE int cvRound( double value )
return (int)lrint(value);
# endif
#else
// while this is not IEEE754-compliant rounding, it's usually a good enough approximation
return (int)(value + (value >= 0 ? 0.5 : -0.5));
double intpart, fractpart;
fractpart = modf(value, &intpart);
if ((fabs(fractpart) != 0.5) || ((((int)intpart) % 2) != 0))
return (int)(value + (value >= 0 ? 0.5 : -0.5));
else
return (int)intpart;
#endif
}

2
modules/core/include/opencv2/core/mat.hpp
View File

@ -1704,6 +1704,7 @@ public:
SparseMatConstIterator_();
//! the full constructor setting the iterator to the first sparse matrix element
SparseMatConstIterator_(const SparseMat_<_Tp>* _m);
SparseMatConstIterator_(const SparseMat* _m);
//! the copy constructor
SparseMatConstIterator_(const SparseMatConstIterator_& it);
@ -1740,6 +1741,7 @@ public:
SparseMatIterator_();
//! the full constructor setting the iterator to the first sparse matrix element
SparseMatIterator_(SparseMat_<_Tp>* _m);
SparseMatIterator_(SparseMat* _m);
//! the copy constructor
SparseMatIterator_(const SparseMatIterator_& it);

12
modules/core/include/opencv2/core/mat.inl.hpp
View File

@ -2587,6 +2587,13 @@ SparseMatConstIterator_<_Tp>::SparseMatConstIterator_(const SparseMat_<_Tp>* _m)
: SparseMatConstIterator(_m)
{}
template<typename _Tp> inline
SparseMatConstIterator_<_Tp>::SparseMatConstIterator_(const SparseMat* _m)
: SparseMatConstIterator(_m)
{
CV_Assert( _m->type() == DataType<_Tp>::type );
}
template<typename _Tp> inline
SparseMatConstIterator_<_Tp>::SparseMatConstIterator_(const SparseMatConstIterator_<_Tp>& it)
: SparseMatConstIterator(it)
@ -2634,6 +2641,11 @@ SparseMatIterator_<_Tp>::SparseMatIterator_(SparseMat_<_Tp>* _m)
: SparseMatConstIterator_<_Tp>(_m)
{}
template<typename _Tp> inline
SparseMatIterator_<_Tp>::SparseMatIterator_(SparseMat* _m)
: SparseMatConstIterator_<_Tp>(_m)
{}
template<typename _Tp> inline
SparseMatIterator_<_Tp>::SparseMatIterator_(const SparseMatIterator_<_Tp>& it)
: SparseMatConstIterator_<_Tp>(it)

36
modules/core/src/lapack.cpp
View File

@ -577,10 +577,10 @@ JacobiSVDImpl_(_Tp* At, size_t astep, _Tp* _W, _Tp* Vt, size_t vstep,
continue;
p *= 2;
double beta = a - b, gamma = hypot((double)p, beta), delta;
double beta = a - b, gamma = hypot((double)p, beta);
if( beta < 0 )
{
delta = (gamma - beta)*0.5;
double delta = (gamma - beta)*0.5;
s = (_Tp)std::sqrt(delta/gamma);
c = (_Tp)(p/(gamma*s*2));
}
@ -588,36 +588,18 @@ JacobiSVDImpl_(_Tp* At, size_t astep, _Tp* _W, _Tp* Vt, size_t vstep,
{
c = (_Tp)std::sqrt((gamma + beta)/(gamma*2));
s = (_Tp)(p/(gamma*c*2));
delta = p*p*0.5/(gamma + beta);
}
W[i] += delta;
W[j] -= delta;
if( iter % 2 != 0 && W[i] > 0 && W[j] > 0 )
a = b = 0;
for( k = 0; k < m; k++ )
{
k = vblas.givens(Ai, Aj, m, c, s);
_Tp t0 = c*Ai[k] + s*Aj[k];
_Tp t1 = -s*Ai[k] + c*Aj[k];
Ai[k] = t0; Aj[k] = t1;
for( ; k < m; k++ )
{
_Tp t0 = c*Ai[k] + s*Aj[k];
_Tp t1 = -s*Ai[k] + c*Aj[k];
Ai[k] = t0; Aj[k] = t1;
}
}
else
{
a = b = 0;
for( k = 0; k < m; k++ )
{
_Tp t0 = c*Ai[k] + s*Aj[k];
_Tp t1 = -s*Ai[k] + c*Aj[k];
Ai[k] = t0; Aj[k] = t1;
a += (double)t0*t0; b += (double)t1*t1;
}
W[i] = a; W[j] = b;
a += (double)t0*t0; b += (double)t1*t1;
}
W[i] = a; W[j] = b;
changed = true;

2
modules/core/src/matop.cpp
View File

@ -324,7 +324,7 @@ void MatOp::augAssignXor(const MatExpr& expr, Mat& m) const
{
Mat temp;
expr.op->assign(expr, temp);
m /= temp;
m ^= temp;
}

2
modules/core/src/matrix.cpp
View File

@ -183,7 +183,7 @@ static void finalizeHdr(Mat& m)
void Mat::create(int d, const int* _sizes, int _type)
{
int i;
CV_Assert(0 <= d && _sizes && d <= CV_MAX_DIM && _sizes);
CV_Assert(0 <= d && d <= CV_MAX_DIM && _sizes);
_type = CV_MAT_TYPE(_type);
if( data && (d == dims || (d == 1 && dims <= 2)) && _type == type() )

13
modules/core/test/test_arithm.cpp
View File

@ -1551,3 +1551,16 @@ TEST(Core_Add, AddToColumnWhen4Rows)
ASSERT_EQ(0, countNonZero(m1 - m2));
}
TEST(Core_round, CvRound)
{
ASSERT_EQ(2, cvRound(2.0));
ASSERT_EQ(2, cvRound(2.1));
ASSERT_EQ(-2, cvRound(-2.1));
ASSERT_EQ(3, cvRound(2.8));
ASSERT_EQ(-3, cvRound(-2.8));
ASSERT_EQ(2, cvRound(2.5));
ASSERT_EQ(4, cvRound(3.5));
ASSERT_EQ(-2, cvRound(-2.5));
ASSERT_EQ(-4, cvRound(-3.5));
}

2
modules/features2d/doc/feature_detection_and_description.rst
View File

@ -48,7 +48,7 @@ Maximally stable extremal region extractor. ::
};
The class encapsulates all the parameters of the MSER extraction algorithm (see
http://en.wikipedia.org/wiki/Maximally_stable_extremal_regions). Also see http://opencv.willowgarage.com/wiki/documentation/cpp/features2d/MSER for useful comments and parameters description.
http://en.wikipedia.org/wiki/Maximally_stable_extremal_regions). Also see http://code.opencv.org/projects/opencv/wiki/MSER for useful comments and parameters description.
ORB

2
modules/features2d/src/keypoint.cpp
View File

@ -69,7 +69,7 @@ struct KeypointResponseGreater
void KeyPointsFilter::retainBest(std::vector<KeyPoint>& keypoints, int n_points)
{
//this is only necessary if the keypoints size is greater than the number of desired points.
if( n_points > 0 && keypoints.size() > (size_t)n_points )
if( n_points >= 0 && keypoints.size() > (size_t)n_points )
{
if (n_points==0)
{

7
modules/flann/include/opencv2/flann/dist.h
View File

@ -421,7 +421,6 @@ struct Hamming
ResultType operator()(Iterator1 a, Iterator2 b, size_t size, ResultType /*worst_dist*/ = -1) const
{
ResultType result = 0;
#ifdef __GNUC__
#ifdef __ARM_NEON__
{
uint32x4_t bits = vmovq_n_u32(0);
@ -438,7 +437,7 @@ struct Hamming
result = vgetq_lane_s32 (vreinterpretq_s32_u64(bitSet2),0);
result += vgetq_lane_s32 (vreinterpretq_s32_u64(bitSet2),2);
}
#else
#elif __GNUC__
{
//for portability just use unsigned long -- and use the __builtin_popcountll (see docs for __builtin_popcountll)
typedef unsigned long long pop_t;
@ -458,8 +457,8 @@ struct Hamming
result += __builtin_popcountll(a_final ^ b_final);
}
}
#endif //NEON
#else
#else // NO NEON and NOT GNUC
typedef unsigned long long pop_t;
HammingLUT lut;
result = lut(reinterpret_cast<const unsigned char*> (a),
reinterpret_cast<const unsigned char*> (b), size * sizeof(pop_t));

2
modules/gpu/CMakeLists.txt
View File

@ -29,8 +29,6 @@ if(HAVE_CUDA)
source_group("Src\\NVidia" FILES ${ncv_files})
ocv_include_directories("src/nvidia" "src/nvidia/core" "src/nvidia/NPP_staging" ${CUDA_INCLUDE_DIRS})
ocv_warnings_disable(CMAKE_CXX_FLAGS -Wundef -Wmissing-declarations -Wshadow -Wunused-parameter /wd4211 /wd4201 /wd4100 /wd4505 /wd4408)
string(REPLACE "-Wsign-promo" "" CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS}")
#set (CUDA_NVCC_FLAGS ${CUDA_NVCC_FLAGS} "-Xcompiler;/EHsc-;")
if(MSVC)
if(NOT ENABLE_NOISY_WARNINGS)

4
modules/gpu/perf/perf_video.cpp
View File

@ -1007,7 +1007,7 @@ PERF_TEST_P(Video_Cn_MaxFeatures, Video_GMG,
#if defined(HAVE_NVCUVID) && BUILD_WITH_VIDEO_INPUT_SUPPORT
PERF_TEST_P(Video, Video_VideoReader, Values("gpu/video/768x576.avi", "gpu/video/1920x1080.avi"))
PERF_TEST_P(Video, DISABLED_Video_VideoReader, Values("gpu/video/768x576.avi", "gpu/video/1920x1080.avi"))
{
declare.time(20);
@ -1044,7 +1044,7 @@ PERF_TEST_P(Video, Video_VideoReader, Values("gpu/video/768x576.avi", "gpu/video
#if defined(HAVE_NVCUVID) && defined(WIN32)
PERF_TEST_P(Video, Video_VideoWriter, Values("gpu/video/768x576.avi", "gpu/video/1920x1080.avi"))
PERF_TEST_P(Video, DISABLED_Video_VideoWriter, Values("gpu/video/768x576.avi", "gpu/video/1920x1080.avi"))
{
declare.time(30);

10
modules/gpu/src/element_operations.cpp
View File

@ -1793,10 +1793,10 @@ void cv::gpu::exp(const GpuMat& src, GpuMat& dst, Stream& stream)
namespace arithm
{
void cmpMatEq_v4(PtrStepSz<uint> src1, PtrStepSz<uint> src2, PtrStepSz<uint> dst, cudaStream_t stream);
void cmpMatNe_v4(PtrStepSz<uint> src1, PtrStepSz<uint> src2, PtrStepSz<uint> dst, cudaStream_t stream);
void cmpMatLt_v4(PtrStepSz<uint> src1, PtrStepSz<uint> src2, PtrStepSz<uint> dst, cudaStream_t stream);
void cmpMatLe_v4(PtrStepSz<uint> src1, PtrStepSz<uint> src2, PtrStepSz<uint> dst, cudaStream_t stream);
void cmpMatEq_v4(PtrStepSz<unsigned int> src1, PtrStepSz<unsigned int> src2, PtrStepSz<unsigned int> dst, cudaStream_t stream);
void cmpMatNe_v4(PtrStepSz<unsigned int> src1, PtrStepSz<unsigned int> src2, PtrStepSz<unsigned int> dst, cudaStream_t stream);
void cmpMatLt_v4(PtrStepSz<unsigned int> src1, PtrStepSz<unsigned int> src2, PtrStepSz<unsigned int> dst, cudaStream_t stream);
void cmpMatLe_v4(PtrStepSz<unsigned int> src1, PtrStepSz<unsigned int> src2, PtrStepSz<unsigned int> dst, cudaStream_t stream);
template <typename T> void cmpMatEq(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
template <typename T> void cmpMatNe(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, cudaStream_t stream);
@ -1820,7 +1820,7 @@ void cv::gpu::compare(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, int c
{cmpMatEq<double> , cmpMatNe<double> , cmpMatLt<double> , cmpMatLe<double> }
};
typedef void (*func_v4_t)(PtrStepSz<uint> src1, PtrStepSz<uint> src2, PtrStepSz<uint> dst, cudaStream_t stream);
typedef void (*func_v4_t)(PtrStepSz<unsigned int> src1, PtrStepSz<unsigned int> src2, PtrStepSz<unsigned int> dst, cudaStream_t stream);
static const func_v4_t funcs_v4[] =
{
cmpMatEq_v4, cmpMatNe_v4, cmpMatLt_v4, cmpMatLe_v4

22
modules/gpu/src/tvl1flow.cpp
View File

@ -129,6 +129,17 @@ void cv::gpu::OpticalFlowDual_TVL1_GPU::operator ()(const GpuMat& I0, const GpuM
gpu::multiply(u1s[s], Scalar::all(0.5), u1s[s]);
gpu::multiply(u2s[s], Scalar::all(0.5), u2s[s]);
}
else
{
u1s[s].create(I0s[s].size(), CV_32FC1);
u2s[s].create(I0s[s].size(), CV_32FC1);
}
}
if (!useInitialFlow)
{
u1s[nscales-1].setTo(Scalar::all(0));
u2s[nscales-1].setTo(Scalar::all(0));
}
// pyramidal structure for computing the optical flow
@ -173,18 +184,9 @@ void cv::gpu::OpticalFlowDual_TVL1_GPU::procOneScale(const GpuMat& I0, const Gpu
CV_DbgAssert( I1.size() == I0.size() );
CV_DbgAssert( I1.type() == I0.type() );
CV_DbgAssert( u1.empty() || u1.size() == I0.size() );
CV_DbgAssert( u1.size() == I0.size() );
CV_DbgAssert( u2.size() == u1.size() );
if (u1.empty())
{
u1.create(I0.size(), CV_32FC1);
u1.setTo(Scalar::all(0));
u2.create(I0.size(), CV_32FC1);
u2.setTo(Scalar::all(0));
}
GpuMat I1x = I1x_buf(Rect(0, 0, I0.cols, I0.rows));
GpuMat I1y = I1y_buf(Rect(0, 0, I0.cols, I0.rows));
centeredGradient(I1, I1x, I1y);

20
modules/highgui/CMakeLists.txt
View File

@ -95,7 +95,7 @@ if(HAVE_QT)
if(${_have_flag})
set_source_files_properties(${_RCC_OUTFILES} PROPERTIES COMPILE_FLAGS -Wno-missing-declarations)
endif()
elseif(WIN32)
elseif(HAVE_WIN32UI)
list(APPEND highgui_srcs src/window_w32.cpp)
elseif(HAVE_GTK)
list(APPEND highgui_srcs src/window_gtk.cpp)
@ -111,9 +111,21 @@ elseif(APPLE)
endif()
endif()
if(WIN32)
list(APPEND highgui_srcs src/cap_vfw.cpp src/cap_cmu.cpp src/cap_dshow.cpp)
endif(WIN32)
if(WIN32 AND NOT ARM)
list(APPEND highgui_srcs src/cap_cmu.cpp)
endif()
if (WIN32 AND HAVE_DSHOW)
list(APPEND highgui_srcs src/cap_dshow.cpp)
endif()
if (WIN32 AND HAVE_MSMF)
list(APPEND highgui_srcs src/cap_msmf.cpp)
endif()
if (WIN32 AND HAVE_VFW)
list(APPEND highgui_srcs src/cap_vfw.cpp)
endif()
if(HAVE_XINE)
list(APPEND highgui_srcs src/cap_xine.cpp)

1
modules/highgui/include/opencv2/highgui/highgui_c.h
View File

@ -298,6 +298,7 @@ enum
CV_CAP_UNICAP =600, // Unicap drivers
CV_CAP_DSHOW =700, // DirectShow (via videoInput)
CV_CAP_MSMF =1400, // Microsoft Media Foundation (via videoInput)
CV_CAP_PVAPI =800, // PvAPI, Prosilica GigE SDK

6
modules/highgui/perf/perf_precomp.hpp
View File

@ -20,9 +20,9 @@
defined(HAVE_GSTREAMER) || \
defined(HAVE_QUICKTIME) || \
defined(HAVE_AVFOUNDATION) || \
/*defined(HAVE_OPENNI) || too specialized */ \
defined(HAVE_FFMPEG) || \
defined(WIN32) /* assume that we have ffmpeg */
defined(HAVE_VFW)
/*defined(HAVE_OPENNI) too specialized */ \
# define BUILD_WITH_VIDEO_INPUT_SUPPORT 1
#else
@ -34,7 +34,7 @@
defined(HAVE_QUICKTIME) || \
defined(HAVE_AVFOUNDATION) || \
defined(HAVE_FFMPEG) || \
defined(WIN32) /* assume that we have ffmpeg */
defined(HAVE_VFW)
# define BUILD_WITH_VIDEO_OUTPUT_SUPPORT 1
#else
# define BUILD_WITH_VIDEO_OUTPUT_SUPPORT 0

20
modules/highgui/src/cap.cpp
View File

@ -114,7 +114,7 @@ CV_IMPL CvCapture * cvCreateCameraCapture (int index)
{
int domains[] =
{
#ifdef HAVE_VIDEOINPUT
#ifdef HAVE_DSHOW
CV_CAP_DSHOW,
#endif
#if 1
@ -168,7 +168,8 @@ CV_IMPL CvCapture * cvCreateCameraCapture (int index)
// try every possibly installed camera API
for (int i = 0; domains[i] >= 0; i++)
{
#if defined(HAVE_VIDEOINPUT) || \
#if defined(HAVE_DSHOW) || \
defined(HAVE_MSMF) || \
defined(HAVE_TYZX) || \
defined(HAVE_VFW) || \
defined(HAVE_LIBV4L) || \
@ -195,11 +196,18 @@ CV_IMPL CvCapture * cvCreateCameraCapture (int index)
switch (domains[i])
{
#ifdef HAVE_VIDEOINPUT
#ifdef HAVE_MSMF
case CV_CAP_MSMF:
capture = cvCreateCameraCapture_MSMF (index);
if (capture)
return capture;
break;
#endif
#ifdef HAVE_DSHOW
case CV_CAP_DSHOW:
capture = cvCreateCameraCapture_DShow (index);
if (capture)
return capture;
capture = cvCreateCameraCapture_DShow (index);
if (capture)
return capture;
break;
#endif

3
modules/highgui/src/cap_dshow.cpp
View File

@ -41,7 +41,7 @@
#include "precomp.hpp"
#if (defined WIN32 || defined _WIN32) && defined HAVE_VIDEOINPUT
#if (defined WIN32 || defined _WIN32) && defined HAVE_DSHOW
/*
DirectShow-based Video Capturing module is based on
@ -3098,6 +3098,7 @@ HRESULT videoInput::routeCrossbar(ICaptureGraphBuilder2 **ppBuild, IBaseFilter *
return hr;
}
/********************* Capturing video from camera via DirectShow *********************/
class CvCaptureCAM_DShow : public CvCapture

8
modules/highgui/src/cap_ffmpeg.cpp
View File

@ -209,7 +209,7 @@ CvCapture* cvCreateFileCapture_FFMPEG_proxy(const char * filename)
if( result->open( filename ))
return result;
delete result;
#if defined WIN32 || defined _WIN32
#ifdef HAVE_VFW
return cvCreateFileCapture_VFW(filename);
#else
return 0;
@ -263,9 +263,9 @@ CvVideoWriter* cvCreateVideoWriter_FFMPEG_proxy( const char* filename, int fourc
if( result->open( filename, fourcc, fps, frameSize, isColor != 0 ))
return result;
delete result;
#if defined WIN32 || defined _WIN32
return cvCreateVideoWriter_VFW(filename, fourcc, fps, frameSize, isColor);
#else
#ifdef HAVE_VFW
return cvCreateVideoWriter_VFW(filename, fourcc, fps, frameSize, isColor);
#else
return 0;
#endif
}

56
modules/highgui/src/cap_ffmpeg_impl.hpp
View File

@ -153,6 +153,14 @@ extern "C" {
#define AVERROR_EOF (-MKTAG( 'E','O','F',' '))
#endif
#if LIBAVCODEC_BUILD >= CALC_FFMPEG_VERSION(54,25,0)
# define CV_CODEC_ID AVCodecID
# define CV_CODEC(name) AV_##name
#else
# define CV_CODEC_ID CodecID
# define CV_CODEC(name) name
#endif
static int get_number_of_cpus(void)
{
#if LIBAVFORMAT_BUILD < CALC_FFMPEG_VERSION(52, 111, 0)
@ -1026,7 +1034,7 @@ static const char * icvFFMPEGErrStr(int err)
/* function internal to FFMPEG (libavformat/riff.c) to lookup codec id by fourcc tag*/
extern "C" {
enum CodecID codec_get_bmp_id(unsigned int tag);
enum CV_CODEC_ID codec_get_bmp_id(unsigned int tag);
}
void CvVideoWriter_FFMPEG::init()
@ -1078,7 +1086,7 @@ static AVFrame * icv_alloc_picture_FFMPEG(int pix_fmt, int width, int height, bo
/* add a video output stream to the container */
static AVStream *icv_add_video_stream_FFMPEG(AVFormatContext *oc,
CodecID codec_id,
CV_CODEC_ID codec_id,
int w, int h, int bitrate,
double fps, int pixel_format)
{
@ -1110,7 +1118,7 @@ static AVStream *icv_add_video_stream_FFMPEG(AVFormatContext *oc,
c->codec_id = oc->oformat->video_codec;
#endif
if(codec_id != CODEC_ID_NONE){
if(codec_id != CV_CODEC(CODEC_ID_NONE)){
c->codec_id = codec_id;
}
@ -1179,10 +1187,10 @@ static AVStream *icv_add_video_stream_FFMPEG(AVFormatContext *oc,
c->gop_size = 12; /* emit one intra frame every twelve frames at most */
c->pix_fmt = (PixelFormat) pixel_format;
if (c->codec_id == CODEC_ID_MPEG2VIDEO) {
if (c->codec_id == CV_CODEC(CODEC_ID_MPEG2VIDEO)) {
c->max_b_frames = 2;
}
if (c->codec_id == CODEC_ID_MPEG1VIDEO || c->codec_id == CODEC_ID_MSMPEG4V3){
if (c->codec_id == CV_CODEC(CODEC_ID_MPEG1VIDEO) || c->codec_id == CV_CODEC(CODEC_ID_MSMPEG4V3)){
/* needed to avoid using macroblocks in which some coeffs overflow
this doesnt happen with normal video, it just happens here as the
motion of the chroma plane doesnt match the luma plane */
@ -1290,7 +1298,7 @@ bool CvVideoWriter_FFMPEG::writeFrame( const unsigned char* data, int step, int
#if LIBAVFORMAT_BUILD < 5231
// It is not needed in the latest versions of the ffmpeg
if( c->codec_id == CODEC_ID_RAWVIDEO && origin != 1 )
if( c->codec_id == CV_CODEC(CODEC_ID_RAWVIDEO) && origin != 1 )
{
if( !temp_image.data )
{
@ -1477,7 +1485,7 @@ void CvVideoWriter_FFMPEG::close()
bool CvVideoWriter_FFMPEG::open( const char * filename, int fourcc,
double fps, int width, int height, bool is_color )
{
CodecID codec_id = CODEC_ID_NONE;
CV_CODEC_ID codec_id = CV_CODEC(CODEC_ID_NONE);
int err, codec_pix_fmt;
double bitrate_scale = 1;
@ -1518,11 +1526,11 @@ bool CvVideoWriter_FFMPEG::open( const char * filename, int fourcc,
/* Lookup codec_id for given fourcc */
#if LIBAVCODEC_VERSION_INT<((51<<16)+(49<<8)+0)
if( (codec_id = codec_get_bmp_id( fourcc )) == CODEC_ID_NONE )
if( (codec_id = codec_get_bmp_id( fourcc )) == CV_CODEC(CODEC_ID_NONE) )
return false;
#else
const struct AVCodecTag * tags[] = { codec_bmp_tags, NULL};
if( (codec_id = av_codec_get_id(tags, fourcc)) == CODEC_ID_NONE )
if( (codec_id = av_codec_get_id(tags, fourcc)) == CV_CODEC(CODEC_ID_NONE) )
return false;
#endif
@ -1544,20 +1552,20 @@ bool CvVideoWriter_FFMPEG::open( const char * filename, int fourcc,
// set a few optimal pixel formats for lossless codecs of interest..
switch (codec_id) {
#if LIBAVCODEC_VERSION_INT>((50<<16)+(1<<8)+0)
case CODEC_ID_JPEGLS:
case CV_CODEC(CODEC_ID_JPEGLS):
// BGR24 or GRAY8 depending on is_color...
codec_pix_fmt = input_pix_fmt;
break;
#endif
case CODEC_ID_HUFFYUV:
case CV_CODEC(CODEC_ID_HUFFYUV):
codec_pix_fmt = PIX_FMT_YUV422P;
break;
case CODEC_ID_MJPEG:
case CODEC_ID_LJPEG:
case CV_CODEC(CODEC_ID_MJPEG):
case CV_CODEC(CODEC_ID_LJPEG):
codec_pix_fmt = PIX_FMT_YUVJ420P;
bitrate_scale = 3;
break;
case CODEC_ID_RAWVIDEO:
case CV_CODEC(CODEC_ID_RAWVIDEO):
codec_pix_fmt = input_pix_fmt == PIX_FMT_GRAY8 ||
input_pix_fmt == PIX_FMT_GRAY16LE ||
input_pix_fmt == PIX_FMT_GRAY16BE ? input_pix_fmt : PIX_FMT_YUV420P;
@ -1788,7 +1796,7 @@ struct OutputMediaStream_FFMPEG
void write(unsigned char* data, int size, int keyFrame);
// add a video output stream to the container
static AVStream* addVideoStream(AVFormatContext *oc, CodecID codec_id, int w, int h, int bitrate, double fps, PixelFormat pixel_format);
static AVStream* addVideoStream(AVFormatContext *oc, CV_CODEC_ID codec_id, int w, int h, int bitrate, double fps, PixelFormat pixel_format);
AVOutputFormat* fmt_;
AVFormatContext* oc_;
@ -1835,7 +1843,7 @@ void OutputMediaStream_FFMPEG::close()
}
}
AVStream* OutputMediaStream_FFMPEG::addVideoStream(AVFormatContext *oc, CodecID codec_id, int w, int h, int bitrate, double fps, PixelFormat pixel_format)
AVStream* OutputMediaStream_FFMPEG::addVideoStream(AVFormatContext *oc, CV_CODEC_ID codec_id, int w, int h, int bitrate, double fps, PixelFormat pixel_format)
{
#if LIBAVFORMAT_BUILD >= CALC_FFMPEG_VERSION(53, 10, 0)
AVStream* st = avformat_new_stream(oc, 0);
@ -1915,10 +1923,10 @@ AVStream* OutputMediaStream_FFMPEG::addVideoStream(AVFormatContext *oc, CodecID
c->gop_size = 12; // emit one intra frame every twelve frames at most
c->pix_fmt = pixel_format;
if (c->codec_id == CODEC_ID_MPEG2VIDEO)
if (c->codec_id == CV_CODEC(CODEC_ID_MPEG2VIDEO))
c->max_b_frames = 2;
if (c->codec_id == CODEC_ID_MPEG1VIDEO || c->codec_id == CODEC_ID_MSMPEG4V3)
if (c->codec_id == CV_CODEC(CODEC_ID_MPEG1VIDEO) || c->codec_id == CV_CODEC(CODEC_ID_MSMPEG4V3))
{
// needed to avoid using macroblocks in which some coeffs overflow
// this doesnt happen with normal video, it just happens here as the
@ -1955,7 +1963,7 @@ bool OutputMediaStream_FFMPEG::open(const char* fileName, int width, int height,
if (!fmt_)
return false;
CodecID codec_id = CODEC_ID_H264;
CV_CODEC_ID codec_id = CV_CODEC(CODEC_ID_H264);
// alloc memory for context
#if LIBAVFORMAT_BUILD >= CALC_FFMPEG_VERSION(53, 2, 0)
@ -2156,23 +2164,23 @@ bool InputMediaStream_FFMPEG::open(const char* fileName, int* codec, int* chroma
switch (enc->codec_id)
{
case CODEC_ID_MPEG1VIDEO:
case CV_CODEC(CODEC_ID_MPEG1VIDEO):
*codec = ::VideoCodec_MPEG1;
break;
case CODEC_ID_MPEG2VIDEO:
case CV_CODEC(CODEC_ID_MPEG2VIDEO):
*codec = ::VideoCodec_MPEG2;
break;
case CODEC_ID_MPEG4:
case CV_CODEC(CODEC_ID_MPEG4):
*codec = ::VideoCodec_MPEG4;
break;
case CODEC_ID_VC1:
case CV_CODEC(CODEC_ID_VC1):
*codec = ::VideoCodec_VC1;
break;
case CODEC_ID_H264:
case CV_CODEC(CODEC_ID_H264):
*codec = ::VideoCodec_H264;
break;

1
modules/highgui/src/cap_libv4l.cpp
View File

@ -1714,6 +1714,7 @@ static void icvCloseCAM_V4L( CvCaptureCAM_V4L* capture ){
#endif
free(capture->deviceName);
capture->deviceName = NULL;
//v4l2_free_ranges(capture);
//cvFree((void **)capture);
}

2810
modules/highgui/src/cap_msmf.cpp Normal file
View File

File diff suppressed because it is too large Load Diff

2
modules/highgui/src/cap_vfw.cpp
View File

@ -406,7 +406,7 @@ bool CvCaptureCAM_VFW::open( int wIndex )
fourcc = (DWORD)-1;
memset( &caps, 0, sizeof(caps));
capDriverGetCaps( hWndC, &caps, sizeof(&caps));
capDriverGetCaps( hWndC, &caps, sizeof(caps));
::MoveWindow( hWndC, 0, 0, 320, 240, TRUE );
capSetUserData( hWndC, (size_t)this );
capSetCallbackOnFrame( hWndC, frameCallback );

9
modules/highgui/src/precomp.hpp
View File

@ -103,14 +103,6 @@ struct CvVideoWriter
virtual bool writeFrame(const IplImage*) { return false; }
};
#if defined WIN32 || defined _WIN32
#define HAVE_VFW 1
/* uncomment to enable CMUCamera1394 fireware camera module */
//#define HAVE_CMU1394 1
#endif
CvCapture * cvCreateCameraCapture_V4L( int index );
CvCapture * cvCreateCameraCapture_DC1394( int index );
CvCapture * cvCreateCameraCapture_DC1394_2( int index );
@ -126,6 +118,7 @@ CvVideoWriter* cvCreateVideoWriter_Win32( const char* filename, int fourcc,
CvVideoWriter* cvCreateVideoWriter_VFW( const char* filename, int fourcc,
double fps, CvSize frameSize, int is_color );
CvCapture* cvCreateCameraCapture_DShow( int index );
CvCapture* cvCreateCameraCapture_MSMF( int index );
CvCapture* cvCreateCameraCapture_OpenNI( int index );
CvCapture* cvCreateFileCapture_OpenNI( const char* filename );
CvCapture* cvCreateCameraCapture_Android( int index );

16
modules/highgui/src/window.cpp
View File

@ -57,7 +57,7 @@ CV_IMPL void cvSetWindowProperty(const char* name, int prop_id, double prop_valu
#if defined (HAVE_QT)
cvSetModeWindow_QT(name,prop_value);
#elif defined WIN32 || defined _WIN32
#elif defined(HAVE_WIN32UI)
cvSetModeWindow_W32(name,prop_value);
#elif defined (HAVE_GTK)
cvSetModeWindow_GTK(name,prop_value);
@ -96,7 +96,7 @@ CV_IMPL double cvGetWindowProperty(const char* name, int prop_id)
#if defined (HAVE_QT)
return cvGetModeWindow_QT(name);
#elif defined WIN32 || defined _WIN32
#elif defined(HAVE_WIN32UI)
return cvGetModeWindow_W32(name);
#elif defined (HAVE_GTK)
return cvGetModeWindow_GTK(name);
@ -113,7 +113,7 @@ CV_IMPL double cvGetWindowProperty(const char* name, int prop_id)
#if defined (HAVE_QT)
return cvGetPropWindow_QT(name);
#elif defined WIN32 || defined _WIN32
#elif defined(HAVE_WIN32UI)
return cvGetPropWindowAutoSize_W32(name);
#elif defined (HAVE_GTK)
return cvGetPropWindowAutoSize_GTK(name);
@ -126,7 +126,7 @@ CV_IMPL double cvGetWindowProperty(const char* name, int prop_id)
#if defined (HAVE_QT)
return cvGetRatioWindow_QT(name);
#elif defined WIN32 || defined _WIN32
#elif defined(HAVE_WIN32UI)
return cvGetRatioWindow_W32(name);
#elif defined (HAVE_GTK)
return cvGetRatioWindow_GTK(name);
@ -139,7 +139,7 @@ CV_IMPL double cvGetWindowProperty(const char* name, int prop_id)
#if defined (HAVE_QT)
return cvGetOpenGlProp_QT(name);
#elif defined WIN32 || defined _WIN32
#elif defined(HAVE_WIN32UI)
return cvGetOpenGlProp_W32(name);
#elif defined (HAVE_GTK)
return cvGetOpenGlProp_GTK(name);
@ -440,11 +440,11 @@ int cv::createButton(const String&, ButtonCallback, void*, int , bool )
#endif
#if defined WIN32 || defined _WIN32 // see window_w32.cpp
#if defined(HAVE_WIN32UI) // see window_w32.cpp
#elif defined (HAVE_GTK) // see window_gtk.cpp
#elif defined (HAVE_COCOA) // see window_carbon.cpp
#elif defined (HAVE_COCOA) // see window_carbon.cpp
#elif defined (HAVE_CARBON)
#elif defined (HAVE_QT) //YV see window_QT.cpp
#elif defined (HAVE_QT) //YV see window_QT.cpp
#else

2
modules/highgui/test/test_ffmpeg.cpp
View File

@ -176,7 +176,7 @@ TEST(Highgui_Video, ffmpeg_image) { CV_FFmpegReadImageTest test; test.safe_run()
#endif
#if defined(HAVE_FFMPEG) || defined(WIN32) || defined(_WIN32)
#if defined(HAVE_FFMPEG)
//////////////////////////////// Parallel VideoWriters and VideoCaptures ////////////////////////////////////

2
modules/highgui/test/test_gui.cpp
View File

@ -43,7 +43,7 @@
#include "test_precomp.hpp"
#include "opencv2/highgui.hpp"
#if defined HAVE_GTK || defined HAVE_QT || defined WIN32 || defined _WIN32 || defined HAVE_CARBON || defined HAVE_COCOA
#if defined HAVE_GTK || defined HAVE_QT || defined HAVE_WIN32UI || defined HAVE_CARBON || defined HAVE_COCOA
using namespace cv;
using namespace std;

11
modules/highgui/test/test_precomp.hpp
View File

@ -16,7 +16,7 @@
#include "opencv2/core/private.hpp"
#if defined(HAVE_VIDEOINPUT) || \
#if defined(HAVE_DSHOW) || \
defined(HAVE_TYZX) || \
defined(HAVE_VFW) || \
defined(HAVE_LIBV4L) || \
@ -32,7 +32,7 @@
defined(HAVE_OPENNI) || \
defined(HAVE_XIMEA) || \
defined(HAVE_AVFOUNDATION) || \
defined(HAVE_GIGE_API) || \
defined(HAVE_GIGE_API) || \
(0)
//defined(HAVE_ANDROID_NATIVE_CAMERA) || - enable after #1193
# define BUILD_WITH_CAMERA_SUPPORT 1
@ -45,9 +45,7 @@
defined(HAVE_QUICKTIME) || \
defined(HAVE_AVFOUNDATION) || \
/*defined(HAVE_OPENNI) || too specialized */ \
defined(HAVE_FFMPEG) || \
defined(WIN32) /* assume that we have ffmpeg */
defined(HAVE_FFMPEG)
# define BUILD_WITH_VIDEO_INPUT_SUPPORT 1
#else
# define BUILD_WITH_VIDEO_INPUT_SUPPORT 0
@ -57,8 +55,7 @@
defined(HAVE_GSTREAMER) || \
defined(HAVE_QUICKTIME) || \
defined(HAVE_AVFOUNDATION) || \
defined(HAVE_FFMPEG) || \
defined(WIN32) /* assume that we have ffmpeg */
defined(HAVE_FFMPEG)
# define BUILD_WITH_VIDEO_OUTPUT_SUPPORT 1
#else
# define BUILD_WITH_VIDEO_OUTPUT_SUPPORT 0

6
modules/imgproc/src/imgwarp.cpp
View File

@ -1931,7 +1931,7 @@ void cv::resize( InputArray _src, OutputArray _dst, Size dsize,
#ifdef HAVE_TEGRA_OPTIMIZATION
if (tegra::resize(src, dst, inv_scale_x, inv_scale_y, interpolation))
if (tegra::resize(src, dst, (float)inv_scale_x, (float)inv_scale_y, interpolation))
return;
#endif
@ -3858,7 +3858,7 @@ cv2DRotationMatrix( CvPoint2D32f center, double angle,
double scale, CvMat* matrix )
{
cv::Mat M0 = cv::cvarrToMat(matrix), M = cv::getRotationMatrix2D(center, angle, scale);
CV_Assert( M.size() == M.size() );
CV_Assert( M.size() == M0.size() );
M.convertTo(M0, M0.type());
return matrix;
}
@ -3871,7 +3871,7 @@ cvGetPerspectiveTransform( const CvPoint2D32f* src,
{
cv::Mat M0 = cv::cvarrToMat(matrix),
M = cv::getPerspectiveTransform((const cv::Point2f*)src, (const cv::Point2f*)dst);
CV_Assert( M.size() == M.size() );
CV_Assert( M.size() == M0.size() );
M.convertTo(M0, M0.type());
return matrix;
}

9
modules/java/CMakeLists.txt
View File

@ -283,7 +283,14 @@ if(BUILD_FAT_JAVA_LIB)
if(__extradeps)
list(REMOVE_ITEM __deps ${__extradeps})
endif()
target_link_libraries(${the_module} -Wl,-whole-archive ${__deps} -Wl,-no-whole-archive ${__extradeps} ${OPENCV_LINKER_LIBS})
if(APPLE)
foreach(_dep ${__deps})
target_link_libraries(${the_module} -Wl,-force_load "${_dep}")
endforeach()
else()
target_link_libraries(${the_module} -Wl,-whole-archive ${__deps} -Wl,-no-whole-archive)
endif()
target_link_libraries(${the_module} ${__extradeps} ${OPENCV_LINKER_LIBS})
else()
target_link_libraries(${the_module} ${OPENCV_MODULE_${the_module}_DEPS} ${OPENCV_LINKER_LIBS})
endif()

2
modules/java/android_test/CMakeLists.txt
View File

@ -14,7 +14,7 @@ ocv_list_filterout(opencv_test_java_files ".svn")
# copy sources out from the build tree
set(opencv_test_java_file_deps "")
foreach(f ${opencv_test_java_files} ${ANDROID_MANIFEST_FILE})
foreach(f ${opencv_test_java_files} ${ANDROID_MANIFEST_FILE} ".classpath" ".project")
add_custom_command(
OUTPUT "${opencv_test_java_bin_dir}/${f}"
COMMAND ${CMAKE_COMMAND} -E copy "${CMAKE_CURRENT_SOURCE_DIR}/${f}" "${opencv_test_java_bin_dir}/${f}"

13
modules/java/android_test/src/org/opencv/test/features2d/BruteForceHammingDescriptorMatcherTest.java
View File

@ -1,5 +1,6 @@
package org.opencv.test.features2d;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
@ -204,7 +205,17 @@ public class BruteForceHammingDescriptorMatcherTest extends OpenCVTestCase {
}
public void testRadiusMatchMatListOfListOfDMatchFloat() {
fail("Not yet implemented");
Mat train = getTrainDescriptors();
Mat query = getQueryDescriptors();
ArrayList<MatOfDMatch> matches = new ArrayList<MatOfDMatch>();
matcher.radiusMatch(query, train, matches, 50.f);
assertEquals(matches.size(), 4);
assertTrue(matches.get(0).empty());
assertMatEqual(matches.get(1), new MatOfDMatch(truth[1]), EPS);
assertMatEqual(matches.get(2), new MatOfDMatch(truth[2]), EPS);
assertTrue(matches.get(3).empty());
}
public void testRadiusMatchMatListOfListOfDMatchFloatListOfMat() {

3
modules/java/generator/src/java/android+CameraBridgeViewBase.java
View File

@ -54,6 +54,9 @@ public abstract class CameraBridgeViewBase extends SurfaceView implements Surfac
public CameraBridgeViewBase(Context context, int cameraId) {
super(context);
mCameraIndex = cameraId;
getHolder().addCallback(this);
mMaxWidth = MAX_UNSPECIFIED;
mMaxHeight = MAX_UNSPECIFIED;
}
public CameraBridgeViewBase(Context context, AttributeSet attrs) {

10
modules/java/generator/src/java/android+JavaCameraView.java
View File

@ -60,7 +60,6 @@ public class JavaCameraView extends CameraBridgeViewBase implements PreviewCallb
public JavaCameraView(Context context, AttributeSet attrs) {
super(context, attrs);
Log.d(TAG, "Java camera view ctor");
}
protected boolean initializeCamera(int width, int height) {
@ -237,10 +236,8 @@ public class JavaCameraView extends CameraBridgeViewBase implements PreviewCallb
}
public void onPreviewFrame(byte[] frame, Camera arg1) {
Log.i(TAG, "Preview Frame received. Need to create MAT and deliver it to clients");
Log.i(TAG, "Frame size is " + frame.length);
synchronized (this)
{
Log.d(TAG, "Preview Frame received. Frame size: " + frame.length);
synchronized (this) {
mFrameChain[1 - mChainIdx].put(0, 0, frame);
this.notify();
}
@ -248,8 +245,7 @@ public class JavaCameraView extends CameraBridgeViewBase implements PreviewCallb
mCamera.addCallbackBuffer(mBuffer);
}
private class JavaCameraFrame implements CvCameraViewFrame
{
private class JavaCameraFrame implements CvCameraViewFrame {
public Mat gray() {
return mYuvFrameData.submat(0, mHeight, 0, mWidth);
}

6
modules/java/generator/src/java/android+OpenCVLoader.java
View File

@ -22,6 +22,12 @@ public class OpenCVLoader
*/
public static final String OPENCV_VERSION_2_4_4 = "2.4.4";
/**
* OpenCV Library version 2.4.5.
*/
public static final String OPENCV_VERSION_2_4_5 = "2.4.5";
/**
* Loads and initializes OpenCV library from current application package. Roughly, it's an analog of system.loadLibrary("opencv_java").
* @return Returns true is initialization of OpenCV was successful.

8
modules/java/generator/src/java/core+MatOfDMatch.java
View File

@ -16,8 +16,8 @@ public class MatOfDMatch extends Mat {
protected MatOfDMatch(long addr) {
super(addr);
if(checkVector(_channels, _depth) < 0 )
throw new IllegalArgumentException("Incomatible Mat");
if( !empty() && checkVector(_channels, _depth) < 0 )
throw new IllegalArgumentException("Incomatible Mat: " + toString());
//FIXME: do we need release() here?
}
@ -27,8 +27,8 @@ public class MatOfDMatch extends Mat {
public MatOfDMatch(Mat m) {
super(m, Range.all());
if(checkVector(_channels, _depth) < 0 )
throw new IllegalArgumentException("Incomatible Mat");
if( !empty() && checkVector(_channels, _depth) < 0 )
throw new IllegalArgumentException("Incomatible Mat: " + toString());
//FIXME: do we need release() here?
}

3
modules/legacy/src/blobtrackingauto.cpp
View File

@ -429,10 +429,11 @@ void CvBlobTrackerAuto1::Process(IplImage* pImg, IplImage* pMask)
for(i=0; i<NewBlobList.GetBlobNum(); ++i)
{
CvBlob* pBN = NewBlobList.GetBlob(i);
pBN->ID = m_NextBlobID;
if(pBN && pBN->w >= CV_BLOB_MINW && pBN->h >= CV_BLOB_MINH)
{
pBN->ID = m_NextBlobID;
CvBlob* pB = m_pBT->AddBlob(pBN, pImg, pmask );
if(pB)
{

2
modules/legacy/src/calibfilter.cpp
View File

@ -235,7 +235,7 @@ void CvCalibFilter::SetCameraCount( int count )
cvReleaseMat( &rectMap[i][1] );
}
memset( latestCounts, 0, sizeof(latestPoints) );
memset( latestCounts, 0, sizeof(latestCounts) );
maxPoints = 0;
cameraCount = count;
}

2
modules/legacy/src/epilines.cpp
View File

@ -2115,7 +2115,7 @@ CV_IMPL IplImage* icvCreateIsometricImage( IplImage* src, IplImage* dst,
if( !dst || dst->depth != desired_depth ||
dst->nChannels != desired_num_channels ||
dst_size.width != src_size.width ||
dst_size.height != dst_size.height )
dst_size.height != src_size.height )
{
cvReleaseImage( &dst );
dst = cvCreateImage( src_size, desired_depth, desired_num_channels );

154
modules/nonfree/test/test_gpu.cpp
View File

@ -58,9 +58,8 @@ namespace
IMPLEMENT_PARAM_CLASS(SURF_Upright, bool)
}
PARAM_TEST_CASE(SURF, cv::gpu::DeviceInfo, SURF_HessianThreshold, SURF_Octaves, SURF_OctaveLayers, SURF_Extended, SURF_Upright)
PARAM_TEST_CASE(SURF, SURF_HessianThreshold, SURF_Octaves, SURF_OctaveLayers, SURF_Extended, SURF_Upright)
{
cv::gpu::DeviceInfo devInfo;
double hessianThreshold;
int nOctaves;
int nOctaveLayers;
@ -69,14 +68,11 @@ PARAM_TEST_CASE(SURF, cv::gpu::DeviceInfo, SURF_HessianThreshold, SURF_Octaves,
virtual void SetUp()
{
devInfo = GET_PARAM(0);
hessianThreshold = GET_PARAM(1);
nOctaves = GET_PARAM(2);
nOctaveLayers = GET_PARAM(3);
extended = GET_PARAM(4);
upright = GET_PARAM(5);
cv::gpu::setDevice(devInfo.deviceID());
hessianThreshold = GET_PARAM(0);
nOctaves = GET_PARAM(1);
nOctaveLayers = GET_PARAM(2);
extended = GET_PARAM(3);
upright = GET_PARAM(4);
}
};
@ -93,39 +89,24 @@ GPU_TEST_P(SURF, Detector)
surf.upright = upright;
surf.keypointsRatio = 0.05f;
if (!supportFeature(devInfo, cv::gpu::GLOBAL_ATOMICS))
{
try
{
std::vector<cv::KeyPoint> keypoints;
surf(loadMat(image), cv::gpu::GpuMat(), keypoints);
}
catch (const cv::Exception& e)
{
ASSERT_EQ(CV_StsNotImplemented, e.code);
}
}
else
{
std::vector<cv::KeyPoint> keypoints;
surf(loadMat(image), cv::gpu::GpuMat(), keypoints);
std::vector<cv::KeyPoint> keypoints;
surf(loadMat(image), cv::gpu::GpuMat(), keypoints);
cv::SURF surf_gold;
surf_gold.hessianThreshold = hessianThreshold;
surf_gold.nOctaves = nOctaves;
surf_gold.nOctaveLayers = nOctaveLayers;
surf_gold.extended = extended;
surf_gold.upright = upright;
cv::SURF surf_gold;
surf_gold.hessianThreshold = hessianThreshold;
surf_gold.nOctaves = nOctaves;
surf_gold.nOctaveLayers = nOctaveLayers;
surf_gold.extended = extended;
surf_gold.upright = upright;
std::vector<cv::KeyPoint> keypoints_gold;
surf_gold(image, cv::noArray(), keypoints_gold);
std::vector<cv::KeyPoint> keypoints_gold;
surf_gold(image, cv::noArray(), keypoints_gold);
ASSERT_EQ(keypoints_gold.size(), keypoints.size());
int matchedCount = getMatchedPointsCount(keypoints_gold, keypoints);
double matchedRatio = static_cast<double>(matchedCount) / keypoints_gold.size();
ASSERT_EQ(keypoints_gold.size(), keypoints.size());
int matchedCount = getMatchedPointsCount(keypoints_gold, keypoints);
double matchedRatio = static_cast<double>(matchedCount) / keypoints_gold.size();
EXPECT_GT(matchedRatio, 0.95);
}
EXPECT_GT(matchedRatio, 0.95);
}
GPU_TEST_P(SURF, Detector_Masked)
@ -144,39 +125,24 @@ GPU_TEST_P(SURF, Detector_Masked)
surf.upright = upright;
surf.keypointsRatio = 0.05f;
if (!supportFeature(devInfo, cv::gpu::GLOBAL_ATOMICS))
{
try
{
std::vector<cv::KeyPoint> keypoints;
surf(loadMat(image), loadMat(mask), keypoints);
}
catch (const cv::Exception& e)
{
ASSERT_EQ(CV_StsNotImplemented, e.code);
}
}
else
{
std::vector<cv::KeyPoint> keypoints;
surf(loadMat(image), loadMat(mask), keypoints);
std::vector<cv::KeyPoint> keypoints;
surf(loadMat(image), loadMat(mask), keypoints);
cv::SURF surf_gold;
surf_gold.hessianThreshold = hessianThreshold;
surf_gold.nOctaves = nOctaves;
surf_gold.nOctaveLayers = nOctaveLayers;
surf_gold.extended = extended;
surf_gold.upright = upright;
cv::SURF surf_gold;
surf_gold.hessianThreshold = hessianThreshold;
surf_gold.nOctaves = nOctaves;
surf_gold.nOctaveLayers = nOctaveLayers;
surf_gold.extended = extended;
surf_gold.upright = upright;
std::vector<cv::KeyPoint> keypoints_gold;
surf_gold(image, mask, keypoints_gold);
std::vector<cv::KeyPoint> keypoints_gold;
surf_gold(image, mask, keypoints_gold);
ASSERT_EQ(keypoints_gold.size(), keypoints.size());
int matchedCount = getMatchedPointsCount(keypoints_gold, keypoints);
double matchedRatio = static_cast<double>(matchedCount) / keypoints_gold.size();
ASSERT_EQ(keypoints_gold.size(), keypoints.size());
int matchedCount = getMatchedPointsCount(keypoints_gold, keypoints);
double matchedRatio = static_cast<double>(matchedCount) / keypoints_gold.size();
EXPECT_GT(matchedRatio, 0.95);
}
EXPECT_GT(matchedRatio, 0.95);
}
GPU_TEST_P(SURF, Descriptor)
@ -199,43 +165,26 @@ GPU_TEST_P(SURF, Descriptor)
surf_gold.extended = extended;
surf_gold.upright = upright;
if (!supportFeature(devInfo, cv::gpu::GLOBAL_ATOMICS))
{
try
{
std::vector<cv::KeyPoint> keypoints;
cv::gpu::GpuMat descriptors;
surf(loadMat(image), cv::gpu::GpuMat(), keypoints, descriptors);
}
catch (const cv::Exception& e)
{
ASSERT_EQ(CV_StsNotImplemented, e.code);
}
}
else
{
std::vector<cv::KeyPoint> keypoints;
surf_gold(image, cv::noArray(), keypoints);
std::vector<cv::KeyPoint> keypoints;
surf_gold(image, cv::noArray(), keypoints);
cv::gpu::GpuMat descriptors;
surf(loadMat(image), cv::gpu::GpuMat(), keypoints, descriptors, true);
cv::gpu::GpuMat descriptors;
surf(loadMat(image), cv::gpu::GpuMat(), keypoints, descriptors, true);
cv::Mat descriptors_gold;
surf_gold(image, cv::noArray(), keypoints, descriptors_gold, true);
cv::Mat descriptors_gold;
surf_gold(image, cv::noArray(), keypoints, descriptors_gold, true);
cv::BFMatcher matcher(cv::NORM_L2);
std::vector<cv::DMatch> matches;
matcher.match(descriptors_gold, cv::Mat(descriptors), matches);
cv::BFMatcher matcher(cv::NORM_L2);
std::vector<cv::DMatch> matches;
matcher.match(descriptors_gold, cv::Mat(descriptors), matches);
int matchedCount = getMatchedPointsCount(keypoints, keypoints, matches);
double matchedRatio = static_cast<double>(matchedCount) / keypoints.size();
int matchedCount = getMatchedPointsCount(keypoints, keypoints, matches);
double matchedRatio = static_cast<double>(matchedCount) / keypoints.size();
EXPECT_GT(matchedRatio, 0.6);
}
EXPECT_GT(matchedRatio, 0.6);
}
INSTANTIATE_TEST_CASE_P(GPU_Features2D, SURF, testing::Combine(
ALL_DEVICES,
testing::Values(SURF_HessianThreshold(100.0), SURF_HessianThreshold(500.0), SURF_HessianThreshold(1000.0)),
testing::Values(SURF_Octaves(3), SURF_Octaves(4)),
testing::Values(SURF_OctaveLayers(2), SURF_OctaveLayers(3)),
@ -245,17 +194,15 @@ INSTANTIATE_TEST_CASE_P(GPU_Features2D, SURF, testing::Combine(
//////////////////////////////////////////////////////
// VIBE
PARAM_TEST_CASE(VIBE, cv::gpu::DeviceInfo, cv::Size, MatType, UseRoi)
PARAM_TEST_CASE(VIBE, cv::Size, MatType, UseRoi)
{
};
GPU_TEST_P(VIBE, Accuracy)
{
const cv::gpu::DeviceInfo devInfo = GET_PARAM(0);
cv::gpu::setDevice(devInfo.deviceID());
const cv::Size size = GET_PARAM(1);
const int type = GET_PARAM(2);
const bool useRoi = GET_PARAM(3);
const cv::Size size = GET_PARAM(0);
const int type = GET_PARAM(1);
const bool useRoi = GET_PARAM(2);
const cv::Mat fullfg(size, CV_8UC1, cv::Scalar::all(255));
@ -278,7 +225,6 @@ GPU_TEST_P(VIBE, Accuracy)
}
INSTANTIATE_TEST_CASE_P(GPU_Video, VIBE, testing::Combine(
ALL_DEVICES,
DIFFERENT_SIZES,
testing::Values(MatType(CV_8UC1), MatType(CV_8UC3), MatType(CV_8UC4)),
WHOLE_SUBMAT));

70
modules/nonfree/test/test_main.cpp
View File

@ -1,73 +1,3 @@
#include "test_precomp.hpp"
#if defined(HAVE_OPENCV_GPU) && defined(HAVE_CUDA)
using namespace cv;
using namespace cv::gpu;
using namespace cvtest;
using namespace testing;
int main(int argc, char **argv)
{
try
{
const char* keys =
"{ h | help ? | false | Print help}"
"{ i | info | false | Print information about system and exit }"
"{ d | device | -1 | Device on which tests will be executed (-1 means all devices) }"
;
CommandLineParser cmd(argc, (const char**)argv, keys);
if (cmd.get<bool>("help"))
{
cmd.printMessage();
return 0;
}
printCudaInfo();
if (cmd.get<bool>("info"))
{
return 0;
}
int device = cmd.get<int>("device");
if (device < 0)
{
DeviceManager::instance().loadAll();
std::cout << "Run tests on all supported devices \n" << std::endl;
}
else
{
DeviceManager::instance().load(device);
DeviceInfo info(device);
std::cout << "Run tests on device " << device << " [" << info.name() << "] \n" << std::endl;
}
TS::ptr()->init("cv");
InitGoogleTest(&argc, argv);
return RUN_ALL_TESTS();
}
catch (const std::exception& e)
{
std::cerr << e.what() << std::endl;
return -1;
}
catch (...)
{
std::cerr << "Unknown error" << std::endl;
return -1;
}
return 0;
}
#else // HAVE_CUDA
CV_TEST_MAIN("cv")
#endif // HAVE_CUDA

8
modules/nonfree/test/test_precomp.hpp
View File

@ -15,14 +15,16 @@
#include "opencv2/highgui.hpp"
#include "opencv2/nonfree.hpp"
#include "opencv2/ts/gpu_test.hpp"
#include "opencv2/opencv_modules.hpp"
#ifdef HAVE_OPENCV_OCL
# include "opencv2/nonfree/ocl.hpp"
#endif
#if defined(HAVE_OPENCV_GPU) && defined(HAVE_CUDA)
#include "opencv2/ts/gpu_test.hpp"
#include "opencv2/nonfree/gpu.hpp"
#ifdef HAVE_OPENCV_GPU
# include "opencv2/nonfree/gpu.hpp"
#endif
#endif

11
modules/nonfree/test/test_surf.ocl.cpp
View File

@ -109,17 +109,6 @@ static int getMatchedPointsCount(const std::vector<cv::KeyPoint>& keypoints1, co
return validCount;
}
#define PARAM_TEST_CASE(name, ...) struct name : testing::TestWithParam< std::tr1::tuple< __VA_ARGS__ > >
#define IMPLEMENT_PARAM_CLASS(name, type) \
namespace { class name { \
public: \
name ( type arg = type ()) : val_(arg) {} \
operator type () const {return val_;} \
private: \
type val_; \
}; \
inline void PrintTo( name param, std::ostream* os) {*os << #name << "=" << testing::PrintToString(static_cast< type >(param));}}
IMPLEMENT_PARAM_CLASS(HessianThreshold, double)
IMPLEMENT_PARAM_CLASS(Octaves, int)
IMPLEMENT_PARAM_CLASS(OctaveLayers, int)

2
modules/ocl/CMakeLists.txt
View File

@ -3,5 +3,5 @@ if(NOT HAVE_OPENCL)
endif()
set(the_description "OpenCL-accelerated Computer Vision")
ocv_define_module(ocl opencv_core opencv_imgproc opencv_objdetect opencv_video)
ocv_define_module(ocl opencv_core opencv_imgproc opencv_objdetect opencv_video opencv_features2d)
ocv_warnings_disable(CMAKE_CXX_FLAGS -Wshadow)

34
modules/ocl/include/opencv2/ocl.hpp
View File

@ -50,7 +50,6 @@
#include "opencv2/core.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/objdetect.hpp"
//#include "opencv2/features2d.hpp"
namespace cv
{
@ -125,6 +124,9 @@ namespace cv
CV_EXPORTS void* getoclCommandQueue();
//explicit call clFinish. The global command queue will be used.
CV_EXPORTS void finish();
//this function enable ocl module to use customized cl_context and cl_command_queue
//getDevice also need to be called before this function
CV_EXPORTS void setDeviceEx(Info &oclinfo, void *ctx, void *qu, int devnum = 0);
@ -1714,6 +1716,36 @@ namespace cv
private:
oclMat minSSD, leBuf, riBuf;
};
class CV_EXPORTS StereoBeliefPropagation
{
public:
enum { DEFAULT_NDISP = 64 };
enum { DEFAULT_ITERS = 5 };
enum { DEFAULT_LEVELS = 5 };
static void estimateRecommendedParams(int width, int height, int &ndisp, int &iters, int &levels);
explicit StereoBeliefPropagation(int ndisp = DEFAULT_NDISP,
int iters = DEFAULT_ITERS,
int levels = DEFAULT_LEVELS,
int msg_type = CV_16S);
StereoBeliefPropagation(int ndisp, int iters, int levels,
float max_data_term, float data_weight,
float max_disc_term, float disc_single_jump,
int msg_type = CV_32F);
void operator()(const oclMat &left, const oclMat &right, oclMat &disparity);
void operator()(const oclMat &data, oclMat &disparity);
int ndisp;
int iters;
int levels;
float max_data_term;
float data_weight;
float max_disc_term;
float disc_single_jump;
int msg_type;
private:
oclMat u, d, l, r, u2, d2, l2, r2;
std::vector<oclMat> datas;
oclMat out;
};
}
}
#if defined _MSC_VER && _MSC_VER >= 1200

120
modules/ocl/perf/interpolation.hpp
View File

@ -1,120 +0,0 @@
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// Intel License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000, Intel Corporation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of Intel Corporation may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#ifndef __OPENCV_TEST_INTERPOLATION_HPP__
#define __OPENCV_TEST_INTERPOLATION_HPP__
template <typename T> T readVal(const cv::Mat &src, int y, int x, int c, int border_type, cv::Scalar borderVal = cv::Scalar())
{
if (border_type == cv::BORDER_CONSTANT)
return (y >= 0 && y < src.rows && x >= 0 && x < src.cols) ? src.at<T>(y, x * src.channels() + c) : cv::saturate_cast<T>(borderVal.val[c]);
return src.at<T>(cv::borderInterpolate(y, src.rows, border_type), cv::borderInterpolate(x, src.cols, border_type) * src.channels() + c);
}
template <typename T> struct NearestInterpolator
{
static T getValue(const cv::Mat &src, float y, float x, int c, int border_type, cv::Scalar borderVal = cv::Scalar())
{
return readVal<T>(src, cvFloor(y), cvFloor(x), c, border_type, borderVal);
}
};
template <typename T> struct LinearInterpolator
{
static T getValue(const cv::Mat &src, float y, float x, int c, int border_type, cv::Scalar borderVal = cv::Scalar())
{
x -= 0.5f;
y -= 0.5f;
int x1 = cvFloor(x);
int y1 = cvFloor(y);
int x2 = x1 + 1;
int y2 = y1 + 1;
float res = 0;
res += readVal<T>(src, y1, x1, c, border_type, borderVal) * ((x2 - x) * (y2 - y));
res += readVal<T>(src, y1, x2, c, border_type, borderVal) * ((x - x1) * (y2 - y));
res += readVal<T>(src, y2, x1, c, border_type, borderVal) * ((x2 - x) * (y - y1));
res += readVal<T>(src, y2, x2, c, border_type, borderVal) * ((x - x1) * (y - y1));
return cv::saturate_cast<T>(res);
}
};
template <typename T> struct CubicInterpolator
{
static float getValue(float p[4], float x)
{
return p[1] + 0.5 * x * (p[2] - p[0] + x * (2.0 * p[0] - 5.0 * p[1] + 4.0 * p[2] - p[3] + x * (3.0 * (p[1] - p[2]) + p[3] - p[0])));
}
static float getValue(float p[4][4], float x, float y)
{
float arr[4];
arr[0] = getValue(p[0], x);
arr[1] = getValue(p[1], x);
arr[2] = getValue(p[2], x);
arr[3] = getValue(p[3], x);
return getValue(arr, y);
}
static T getValue(const cv::Mat &src, float y, float x, int c, int border_type, cv::Scalar borderVal = cv::Scalar())
{
int ix = cvRound(x);
int iy = cvRound(y);
float vals[4][4] =
{
{readVal<T>(src, iy - 2, ix - 2, c, border_type, borderVal), readVal<T>(src, iy - 2, ix - 1, c, border_type, borderVal), readVal<T>(src, iy - 2, ix, c, border_type, borderVal), readVal<T>(src, iy - 2, ix + 1, c, border_type, borderVal)},
{readVal<T>(src, iy - 1, ix - 2, c, border_type, borderVal), readVal<T>(src, iy - 1, ix - 1, c, border_type, borderVal), readVal<T>(src, iy - 1, ix, c, border_type, borderVal), readVal<T>(src, iy - 1, ix + 1, c, border_type, borderVal)},
{readVal<T>(src, iy , ix - 2, c, border_type, borderVal), readVal<T>(src, iy , ix - 1, c, border_type, borderVal), readVal<T>(src, iy , ix, c, border_type, borderVal), readVal<T>(src, iy , ix + 1, c, border_type, borderVal)},
{readVal<T>(src, iy + 1, ix - 2, c, border_type, borderVal), readVal<T>(src, iy + 1, ix - 1, c, border_type, borderVal), readVal<T>(src, iy + 1, ix, c, border_type, borderVal), readVal<T>(src, iy + 1, ix + 1, c, border_type, borderVal)},
};
return cv::saturate_cast<T>(getValue(vals, (x - ix + 2.0) / 4.0, (y - iy + 2.0) / 4.0));
}
};
#endif // __OPENCV_TEST_INTERPOLATION_HPP__

178
modules/ocl/perf/main.cpp
View File

@ -7,12 +7,13 @@
// copy or use the software.
//
//
// Intel License Agreement
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000, Intel Corporation, all rights reserved.
// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
@ -21,12 +22,12 @@
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
// and/or other oclMaterials provided with the distribution.
//
// * The name of Intel Corporation may not be used to endorse or promote products
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// This software is provided by the copyright holders and contributors as is and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
@ -41,99 +42,118 @@
#include "precomp.hpp"
#ifdef HAVE_OPENCL
using namespace std;
using namespace cv;
using namespace cv::ocl;
using namespace cvtest;
using namespace testing;
void print_info()
int main(int argc, const char *argv[])
{
printf("\n");
#if defined _WIN32
# if defined _WIN64
puts("OS: Windows 64");
# else
puts("OS: Windows 32");
# endif
#elif defined linux
# if defined _LP64
puts("OS: Linux 64");
# else
puts("OS: Linux 32");
# endif
#elif defined __APPLE__
# if defined _LP64
puts("OS: Apple 64");
# else
puts("OS: Apple 32");
# endif
#endif
vector<ocl::Info> oclinfo;
int num_devices = getDevice(oclinfo);
if (num_devices < 1)
{
cerr << "no device found\n";
return -1;
}
int devidx = 0;
for (size_t i = 0; i < oclinfo.size(); i++)
{
for (size_t j = 0; j < oclinfo[i].DeviceName.size(); j++)
{
printf("device %d: %s\n", devidx++, oclinfo[i].DeviceName[j].c_str());
}
}
redirectError(cvErrorCallback);
}
std::string workdir;
int main(int argc, char **argv)
{
TS::ptr()->init("ocl");
InitGoogleTest(&argc, argv);
const char *keys =
"{ h | false | print help message }"
"{ w | ../../../samples/c/| set working directory i.e. -w=C:\\}"
"{ t | gpu | set device type:i.e. -t=cpu or gpu}"
"{ p | 0 | set platform id i.e. -p=0}"
"{ d | 0 | set device id i.e. -d=0}";
"{ h help | false | print help message }"
"{ f filter | | filter for test }"
"{ w workdir | | set working directory }"
"{ l list | false | show all tests }"
"{ d device | 0 | device id }"
"{ i iters | 10 | iteration count }"
"{ m warmup | 1 | gpu warm up iteration count}"
"{ t xtop | 1.1 | xfactor top boundary}"
"{ b xbottom | 0.9 | xfactor bottom boundary}"
"{ v verify | false | only run gpu once to verify if problems occur}";
CommandLineParser cmd(argc, argv, keys);
if (cmd.get<string>("h")=="true")
if (cmd.has("help"))
{
cout << "Avaible options besides goole test option:" << endl;
cout << "Avaible options:" << endl;
cmd.printMessage();
return 0;
}
workdir = cmd.get<string>("w");
string type = cmd.get<string>("t");
unsigned int pid = cmd.get<unsigned int>("p");
int device = cmd.get<int>("d");
print_info();
// int flag = CVCL_DEVICE_TYPE_GPU;
// if(type == "cpu")
// {
// flag = CVCL_DEVICE_TYPE_CPU;
// }
std::vector<cv::ocl::Info> oclinfo;
int devnums = getDevice(oclinfo);
if(devnums <= device || device < 0)
int device = cmd.get<int>("device");
if (device < 0 || device >= num_devices)
{
std::cout << "device invalid\n";
cerr << "Invalid device ID" << endl;
return -1;
}
if(pid >= oclinfo.size())
if (cmd.get<bool>("verify"))
{
std::cout << "platform invalid\n";
return -1;
TestSystem::instance().setNumIters(1);
TestSystem::instance().setGPUWarmupIters(0);
TestSystem::instance().setCPUIters(0);
}
if(pid != 0 || device != 0)
devidx = 0;
for (size_t i = 0; i < oclinfo.size(); i++)
{
setDevice(oclinfo[pid], device);
for (size_t j = 0; j < oclinfo[i].DeviceName.size(); j++, devidx++)
{
if (device == devidx)
{
ocl::setDevice(oclinfo[i], (int)j);
TestSystem::instance().setRecordName(oclinfo[i].DeviceName[j]);
printf("\nuse %d: %s\n", devidx, oclinfo[i].DeviceName[j].c_str());
goto END_DEV;
}
}
}
cout << "Device type:" << type << endl << "Device name:" << oclinfo[pid].DeviceName[device] << endl;
setBinpath(CLBINPATH);
return RUN_ALL_TESTS();
}
END_DEV:
#else // DON'T HAVE_OPENCL
string filter = cmd.get<string>("filter");
string workdir = cmd.get<string>("workdir");
bool list = cmd.has("list");
int iters = cmd.get<int>("iters");
int wu_iters = cmd.get<int>("warmup");
double x_top = cmd.get<double>("xtop");
double x_bottom = cmd.get<double>("xbottom");
TestSystem::instance().setTopThreshold(x_top);
TestSystem::instance().setBottomThreshold(x_bottom);
if (!filter.empty())
{
TestSystem::instance().setTestFilter(filter);
}
if (!workdir.empty())
{
if (workdir[workdir.size() - 1] != '/' && workdir[workdir.size() - 1] != '\\')
{
workdir += '/';
}
TestSystem::instance().setWorkingDir(workdir);
}
if (list)
{
TestSystem::instance().setListMode(true);
}
TestSystem::instance().setNumIters(iters);
TestSystem::instance().setGPUWarmupIters(wu_iters);
TestSystem::instance().run();
int main()
{
printf("OpenCV was built without OpenCL support\n");
return 0;
}
#endif // HAVE_OPENCL
}

4977
modules/ocl/perf/perf_arithm.cpp
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134
modules/ocl/perf/perf_blend.cpp
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@ -44,79 +44,77 @@
//M*/
#include "precomp.hpp"
#include <iomanip>
#ifdef HAVE_OPENCL
using namespace cv;
using namespace cv::ocl;
using namespace cvtest;
using namespace testing;
using namespace std;
PARAM_TEST_CASE(Blend, MatType, int)
///////////// blend ////////////////////////
template <typename T>
void blendLinearGold(const cv::Mat &img1, const cv::Mat &img2, const cv::Mat &weights1, const cv::Mat &weights2, cv::Mat &result_gold)
{
int type;
int channels;
std::vector<cv::ocl::Info> oclinfo;
result_gold.create(img1.size(), img1.type());
virtual void SetUp()
int cn = img1.channels();
for (int y = 0; y < img1.rows; ++y)
{
const float *weights1_row = weights1.ptr<float>(y);
const float *weights2_row = weights2.ptr<float>(y);
const T *img1_row = img1.ptr<T>(y);
const T *img2_row = img2.ptr<T>(y);
T *result_gold_row = result_gold.ptr<T>(y);
type = GET_PARAM(0);
channels = GET_PARAM(1);
//int devnums = getDevice(oclinfo);
//CV_Assert(devnums > 0);
//cv::ocl::setBinpath(CLBINPATH);
}
};
TEST_P(Blend, Performance)
{
cv::Size size(MWIDTH, MHEIGHT);
cv::Mat img1_host = randomMat(size, CV_MAKETYPE(type, channels), 0, type == CV_8U ? 255.0 : 1.0);
cv::Mat img2_host = randomMat(size, CV_MAKETYPE(type, channels), 0, type == CV_8U ? 255.0 : 1.0);
cv::Mat weights1 = randomMat(size, CV_32F, 0, 1);
cv::Mat weights2 = randomMat(size, CV_32F, 0, 1);
cv::ocl::oclMat gimg1(size, CV_MAKETYPE(type, channels)), gimg2(size, CV_MAKETYPE(type, channels)), gweights1(size, CV_32F), gweights2(size, CV_32F);
cv::ocl::oclMat gdst(size, CV_MAKETYPE(type, channels));
double totalgputick_all = 0;
double totalgputick_kernel = 0;
double t1 = 0;
double t2 = 0;
for (int j = 0; j < LOOP_TIMES + 1; j ++) //LOOP_TIMES=100
{
t1 = (double)cvGetTickCount();
cv::ocl::oclMat gimg1 = cv::ocl::oclMat(img1_host);
cv::ocl::oclMat gimg2 = cv::ocl::oclMat(img2_host);
cv::ocl::oclMat gweights1 = cv::ocl::oclMat(weights1);
cv::ocl::oclMat gweights2 = cv::ocl::oclMat(weights1);
t2 = (double)cvGetTickCount();
cv::ocl::blendLinear(gimg1, gimg2, gweights1, gweights2, gdst);
t2 = (double)cvGetTickCount() - t2;
cv::Mat m;
gdst.download(m);
t1 = (double)cvGetTickCount() - t1;
if (j == 0)
for (int x = 0; x < img1.cols * cn; ++x)
{
continue;
float w1 = weights1_row[x / cn];
float w2 = weights2_row[x / cn];
result_gold_row[x] = static_cast<T>((img1_row[x] * w1 + img2_row[x] * w2) / (w1 + w2 + 1e-5f));
}
totalgputick_all = t1 + totalgputick_all;
totalgputick_kernel = t2 + totalgputick_kernel;
};
cout << "average gpu total runtime is " << totalgputick_all / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
cout << "average gpu runtime without data transfering is " << totalgputick_kernel / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
}
}
TEST(blend)
{
Mat src1, src2, weights1, weights2, dst;
ocl::oclMat d_src1, d_src2, d_weights1, d_weights2, d_dst;
INSTANTIATE_TEST_CASE_P(GPU_ImgProc, Blend, Combine(
Values(CV_8U, CV_32F), Values(1, 4)));
#endif
int all_type[] = {CV_8UC1, CV_8UC4};
std::string type_name[] = {"CV_8UC1", "CV_8UC4"};
for (int size = Min_Size; size <= Max_Size; size *= Multiple)
{
for (size_t j = 0; j < sizeof(all_type) / sizeof(int); j++)
{
SUBTEST << size << 'x' << size << "; " << type_name[j] << " and CV_32FC1";
gen(src1, size, size, all_type[j], 0, 256);
gen(src2, size, size, all_type[j], 0, 256);
gen(weights1, size, size, CV_32FC1, 0, 1);
gen(weights2, size, size, CV_32FC1, 0, 1);
blendLinearGold<uchar>(src1, src2, weights1, weights2, dst);
CPU_ON;
blendLinearGold<uchar>(src1, src2, weights1, weights2, dst);
CPU_OFF;
d_src1.upload(src1);
d_src2.upload(src2);
d_weights1.upload(weights1);
d_weights2.upload(weights2);
WARMUP_ON;
ocl::blendLinear(d_src1, d_src2, d_weights1, d_weights2, d_dst);
WARMUP_OFF;
GPU_ON;
ocl::blendLinear(d_src1, d_src2, d_weights1, d_weights2, d_dst);
;
GPU_OFF;
GPU_FULL_ON;
d_src1.upload(src1);
d_src2.upload(src2);
d_weights1.upload(weights1);
d_weights2.upload(weights2);
ocl::blendLinear(d_src1, d_src2, d_weights1, d_weights2, d_dst);
d_dst.download(dst);
GPU_FULL_OFF;
}
}
}

150
modules/ocl/perf/perf_brute_force_matcher.cpp Normal file
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@ -0,0 +1,150 @@
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @Authors
// Fangfang Bai, fangfang@multicorewareinc.com
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other oclMaterials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors as is and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "precomp.hpp"
//////////////////// BruteForceMatch /////////////////
TEST(BruteForceMatcher)
{
Mat trainIdx_cpu;
Mat distance_cpu;
Mat allDist_cpu;
Mat nMatches_cpu;
for (int size = Min_Size; size <= Max_Size; size *= Multiple)
{
// Init CPU matcher
int desc_len = 64;
BFMatcher matcher(NORM_L2);
Mat query;
gen(query, size, desc_len, CV_32F, 0, 1);
Mat train;
gen(train, size, desc_len, CV_32F, 0, 1);
// Output
vector< vector<DMatch> > matches(2);
// Init GPU matcher
ocl::BruteForceMatcher_OCL_base d_matcher(ocl::BruteForceMatcher_OCL_base::L2Dist);
ocl::oclMat d_query(query);
ocl::oclMat d_train(train);
ocl::oclMat d_trainIdx, d_distance, d_allDist, d_nMatches;
SUBTEST << size << "; match";
matcher.match(query, train, matches[0]);
CPU_ON;
matcher.match(query, train, matches[0]);
CPU_OFF;
WARMUP_ON;
d_matcher.matchSingle(d_query, d_train, d_trainIdx, d_distance);
WARMUP_OFF;
GPU_ON;
d_matcher.matchSingle(d_query, d_train, d_trainIdx, d_distance);
;
GPU_OFF;
GPU_FULL_ON;
d_query.upload(query);
d_train.upload(train);
d_matcher.match(d_query, d_train, matches[0]);
GPU_FULL_OFF;
SUBTEST << size << "; knnMatch";
matcher.knnMatch(query, train, matches, 2);
CPU_ON;
matcher.knnMatch(query, train, matches, 2);
CPU_OFF;
WARMUP_ON;
d_matcher.knnMatchSingle(d_query, d_train, d_trainIdx, d_distance, d_allDist, 2);
WARMUP_OFF;
GPU_ON;
d_matcher.knnMatchSingle(d_query, d_train, d_trainIdx, d_distance, d_allDist, 2);
;
GPU_OFF;
GPU_FULL_ON;
d_query.upload(query);
d_train.upload(train);
d_matcher.knnMatch(d_query, d_train, matches, 2);
GPU_FULL_OFF;
SUBTEST << size << "; radiusMatch";
float max_distance = 2.0f;
matcher.radiusMatch(query, train, matches, max_distance);
CPU_ON;
matcher.radiusMatch(query, train, matches, max_distance);
CPU_OFF;
d_trainIdx.release();
WARMUP_ON;
d_matcher.radiusMatchSingle(d_query, d_train, d_trainIdx, d_distance, d_nMatches, max_distance);
WARMUP_OFF;
GPU_ON;
d_matcher.radiusMatchSingle(d_query, d_train, d_trainIdx, d_distance, d_nMatches, max_distance);
;
GPU_OFF;
GPU_FULL_ON;
d_query.upload(query);
d_train.upload(train);
d_matcher.radiusMatch(d_query, d_train, matches, max_distance);
GPU_FULL_OFF;
}
}

122
modules/ocl/perf/perf_canny.cpp
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@ -42,112 +42,42 @@
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "precomp.hpp"
#include <iomanip>
#ifdef HAVE_OPENCL
using namespace cv;
using namespace cv::ocl;
using namespace cvtest;
using namespace testing;
using namespace std;
#ifndef MWC_TEST_UTILITY
#define MWC_TEST_UTILITY
// Param class
#ifndef IMPLEMENT_PARAM_CLASS
#define IMPLEMENT_PARAM_CLASS(name, type) \
class name \
{ \
public: \
name ( type arg = type ()) : val_(arg) {} \
operator type () const {return val_;} \
private: \
type val_; \
}; \
inline void PrintTo( name param, std::ostream* os) \
{ \
*os << #name << "(" << testing::PrintToString(static_cast< type >(param)) << ")"; \
}
IMPLEMENT_PARAM_CLASS(Channels, int)
#endif // IMPLEMENT_PARAM_CLASS
#endif // MWC_TEST_UTILITY
////////////////////////////////////////////////////////
// Canny1
extern std::string workdir;
IMPLEMENT_PARAM_CLASS(AppertureSize, int);
IMPLEMENT_PARAM_CLASS(L2gradient, bool);
PARAM_TEST_CASE(Canny1, AppertureSize, L2gradient)
///////////// Canny ////////////////////////
TEST(Canny)
{
int apperture_size;
bool useL2gradient;
//std::vector<cv::ocl::Info> oclinfo;
Mat img = imread(abspath("aloeL.jpg"), CV_LOAD_IMAGE_GRAYSCALE);
virtual void SetUp()
if (img.empty())
{
apperture_size = GET_PARAM(0);
useL2gradient = GET_PARAM(1);
//int devnums = getDevice(oclinfo);
//CV_Assert(devnums > 0);
}
};
TEST_P(Canny1, Performance)
{
cv::Mat img = readImage(workdir + "fruits.jpg", cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(img.empty());
double low_thresh = 100.0;
double high_thresh = 150.0;
cv::Mat edges_gold;
cv::ocl::oclMat edges;
double totalgputick = 0;
double totalgputick_kernel = 0;
double t1 = 0;
double t2 = 0;
for(int j = 0; j < LOOP_TIMES + 1; j ++)
{
t1 = (double)cvGetTickCount();//gpu start1
cv::ocl::oclMat ocl_img = cv::ocl::oclMat(img);//upload
t2 = (double)cvGetTickCount(); //kernel
cv::ocl::Canny(ocl_img, edges, low_thresh, high_thresh, apperture_size, useL2gradient);
t2 = (double)cvGetTickCount() - t2;//kernel
cv::Mat cpu_dst;
edges.download (cpu_dst);//download
t1 = (double)cvGetTickCount() - t1;//gpu end1
if(j == 0)
continue;
totalgputick = t1 + totalgputick;
totalgputick_kernel = t2 + totalgputick_kernel;
throw runtime_error("can't open aloeL.jpg");
}
cout << "average gpu runtime is " << totalgputick / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
cout << "average gpu runtime without data transfer is " << totalgputick_kernel / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
SUBTEST << img.cols << 'x' << img.rows << "; aloeL.jpg" << "; edges" << "; CV_8UC1";
Mat edges(img.size(), CV_8UC1);
}
CPU_ON;
Canny(img, edges, 50.0, 100.0);
CPU_OFF;
INSTANTIATE_TEST_CASE_P(GPU_ImgProc, Canny1, testing::Combine(
testing::Values(AppertureSize(3), AppertureSize(5)),
testing::Values(L2gradient(false), L2gradient(true))));
ocl::oclMat d_img(img);
ocl::oclMat d_edges;
ocl::CannyBuf d_buf;
WARMUP_ON;
ocl::Canny(d_img, d_buf, d_edges, 50.0, 100.0);
WARMUP_OFF;
GPU_ON;
ocl::Canny(d_img, d_buf, d_edges, 50.0, 100.0);
;
GPU_OFF;
#endif //Have opencl
GPU_FULL_ON;
d_img.upload(img);
ocl::Canny(d_img, d_buf, d_edges, 50.0, 100.0);
d_edges.download(edges);
GPU_FULL_OFF;
}

91
modules/ocl/perf/perf_color.cpp Normal file
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@ -0,0 +1,91 @@
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @Authors
// Fangfang Bai, fangfang@multicorewareinc.com
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other oclMaterials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors as is and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "precomp.hpp"
///////////// cvtColor////////////////////////
TEST(cvtColor)
{
Mat src, dst;
ocl::oclMat d_src, d_dst;
int all_type[] = {CV_8UC4};
std::string type_name[] = {"CV_8UC4"};
for (int size = Min_Size; size <= Max_Size; size *= Multiple)
{
for (size_t j = 0; j < sizeof(all_type) / sizeof(int); j++)
{
gen(src, size, size, all_type[j], 0, 256);
SUBTEST << size << "x" << size << "; " << type_name[j] << " ; CV_RGBA2GRAY";
cvtColor(src, dst, CV_RGBA2GRAY, 4);
CPU_ON;
cvtColor(src, dst, CV_RGBA2GRAY, 4);
CPU_OFF;
d_src.upload(src);
WARMUP_ON;
ocl::cvtColor(d_src, d_dst, CV_RGBA2GRAY, 4);
WARMUP_OFF;
GPU_ON;
ocl::cvtColor(d_src, d_dst, CV_RGBA2GRAY, 4);
;
GPU_OFF;
GPU_FULL_ON;
d_src.upload(src);
ocl::cvtColor(d_src, d_dst, CV_RGBA2GRAY, 4);
d_dst.download(dst);
GPU_FULL_OFF;
}
}
}

112
modules/ocl/perf/perf_columnsum.cpp
View File

@ -15,8 +15,7 @@
// Third party copyrights are property of their respective owners.
//
// @Authors
// Fangfang Bai fangfang@multicorewareinc.com
//
// Fangfang Bai, fangfang@multicorewareinc.com
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
@ -31,7 +30,7 @@
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// This software is provided by the copyright holders and contributors as is and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
@ -43,78 +42,47 @@
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "precomp.hpp"
#include <iomanip>
using namespace cv;
using namespace cv::ocl;
using namespace cvtest;
using namespace testing;
using namespace std;
///////////////////////////////////////////////////////////////////////////////
/// ColumnSum
#ifdef HAVE_OPENCL
////////////////////////////////////////////////////////////////////////
// ColumnSum
PARAM_TEST_CASE(ColumnSum)
///////////// columnSum////////////////////////
TEST(columnSum)
{
cv::Mat src;
//std::vector<cv::ocl::Info> oclinfo;
Mat src, dst;
ocl::oclMat d_src, d_dst;
virtual void SetUp()
for (int size = Min_Size; size <= Max_Size; size *= Multiple)
{
//int devnums = getDevice(oclinfo);
//CV_Assert(devnums > 0);
SUBTEST << size << 'x' << size << "; CV_32FC1";
gen(src, size, size, CV_32FC1, 0, 256);
CPU_ON;
dst.create(src.size(), src.type());
for (int i = 1; i < src.rows; ++i)
{
for (int j = 0; j < src.cols; ++j)
{
dst.at<float>(i, j) = src.at<float>(i, j) += src.at<float>(i - 1, j);
}
}
CPU_OFF;
d_src.upload(src);
WARMUP_ON;
ocl::columnSum(d_src, d_dst);
WARMUP_OFF;
GPU_ON;
ocl::columnSum(d_src, d_dst);
;
GPU_OFF;
GPU_FULL_ON;
d_src.upload(src);
ocl::columnSum(d_src, d_dst);
d_dst.download(dst);
GPU_FULL_OFF;
}
};
TEST_F(ColumnSum, Performance)
{
cv::Size size(MWIDTH, MHEIGHT);
cv::Mat src = randomMat(size, CV_32FC1);
cv::ocl::oclMat d_dst;
double totalgputick = 0;
double totalgputick_kernel = 0;
double t1 = 0;
double t2 = 0;
for(int j = 0; j < LOOP_TIMES + 1; j ++)
{
t1 = (double)cvGetTickCount();//gpu start1
cv::ocl::oclMat d_src(src);
t2 = (double)cvGetTickCount(); //kernel
cv::ocl::columnSum(d_src, d_dst);
t2 = (double)cvGetTickCount() - t2;//kernel
cv::Mat cpu_dst;
d_dst.download (cpu_dst);//download
t1 = (double)cvGetTickCount() - t1;//gpu end1
if(j == 0)
continue;
totalgputick = t1 + totalgputick;
totalgputick_kernel = t2 + totalgputick_kernel;
}
cout << "average gpu runtime is " << totalgputick / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
cout << "average gpu runtime without data transfer is " << totalgputick_kernel / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
}
#endif
}

105
modules/ocl/perf/perf_fft.cpp
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@ -15,7 +15,7 @@
// Third party copyrights are property of their respective owners.
//
// @Authors
// Fangfangbai, fangfang@multicorewareinc.com
// Fangfang Bai, fangfang@multicorewareinc.com
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
@ -42,85 +42,48 @@
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "precomp.hpp"
using namespace std;
#ifdef HAVE_CLAMDFFT
////////////////////////////////////////////////////////////////////////////
// Dft
PARAM_TEST_CASE(Dft, cv::Size, bool)
///////////// dft ////////////////////////
TEST(dft)
{
cv::Size dft_size;
bool dft_rows;
vector<cv::ocl::Info> info;
virtual void SetUp()
Mat src, dst;
ocl::oclMat d_src, d_dst;
int all_type[] = {CV_32FC1, CV_32FC2};
std::string type_name[] = {"CV_32FC1", "CV_32FC2"};
for (int size = Min_Size; size <= Max_Size; size *= Multiple)
{
dft_size = GET_PARAM(0);
dft_rows = GET_PARAM(1);
cv::ocl::getDevice(info);
}
};
for (size_t j = 0; j < sizeof(all_type) / sizeof(int); j++)
{
SUBTEST << size << 'x' << size << "; " << type_name[j] << " ; complex-to-complex";
TEST_P(Dft, C2C)
{
cv::Mat a = randomMat(dft_size, CV_32FC2, 0.0, 10.0);
int flags = 0;
flags |= dft_rows ? cv::DFT_ROWS : 0;
gen(src, size, size, all_type[j], Scalar::all(0), Scalar::all(1));
cv::ocl::oclMat d_b;
dft(src, dst);
double totalgputick = 0;
double totalgputick_kernel = 0;
double t1 = 0;
double t2 = 0;
CPU_ON;
dft(src, dst);
CPU_OFF;
for(int j = 0; j < LOOP_TIMES + 1; j ++)
{
d_src.upload(src);
t1 = (double)cvGetTickCount();//gpu start1
WARMUP_ON;
ocl::dft(d_src, d_dst, Size(size, size));
WARMUP_OFF;
cv::ocl::oclMat ga = cv::ocl::oclMat(a); //upload
GPU_ON;
ocl::dft(d_src, d_dst, Size(size, size));
;
GPU_OFF;
t2 = (double)cvGetTickCount(); //kernel
cv::ocl::dft(ga, d_b, a.size(), flags);
t2 = (double)cvGetTickCount() - t2;//kernel
cv::Mat cpu_dst;
d_b.download (cpu_dst);//download
t1 = (double)cvGetTickCount() - t1;//gpu end1
if(j == 0)
continue;
totalgputick = t1 + totalgputick;
totalgputick_kernel = t2 + totalgputick_kernel;
GPU_FULL_ON;
d_src.upload(src);
ocl::dft(d_src, d_dst, Size(size, size));
d_dst.download(dst);
GPU_FULL_OFF;
}
}
cout << "average gpu runtime is " << totalgputick / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
cout << "average gpu runtime without data transfer is " << totalgputick_kernel / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
}
TEST_P(Dft, R2CthenC2R)
{
cv::Mat a = randomMat(dft_size, CV_32FC1, 0.0, 10.0);
int flags = 0;
//flags |= dft_rows ? cv::DFT_ROWS : 0; // not supported yet
cv::ocl::oclMat d_b, d_c;
cv::ocl::dft(cv::ocl::oclMat(a), d_b, a.size(), flags);
cv::ocl::dft(d_b, d_c, a.size(), flags + cv::DFT_INVERSE + cv::DFT_REAL_OUTPUT);
EXPECT_MAT_NEAR(a, d_c, a.size().area() * 1e-4, "");
}
//INSTANTIATE_TEST_CASE_P(ocl_DFT, Dft, testing::Combine(
// testing::Values(cv::Size(1280, 1024), cv::Size(1920, 1080),cv::Size(1800, 1500)),
// testing::Values(false, true)));
#endif // HAVE_CLAMDFFT
}

1349
modules/ocl/perf/perf_filters.cpp
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105
modules/ocl/perf/perf_gemm.cpp
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@ -16,6 +16,7 @@
//
// @Authors
// Fangfang Bai, fangfang@multicorewareinc.com
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
@ -41,73 +42,47 @@
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "precomp.hpp"
using namespace std;
#ifdef HAVE_CLAMDBLAS
////////////////////////////////////////////////////////////////////////////
// GEMM
PARAM_TEST_CASE(Gemm, int, cv::Size, int)
///////////// gemm ////////////////////////
TEST(gemm)
{
int type;
cv::Size mat_size;
int flags;
vector<cv::ocl::Info> info;
virtual void SetUp()
Mat src1, src2, src3, dst;
ocl::oclMat d_src1, d_src2, d_src3, d_dst;
for (int size = Min_Size; size <= Max_Size; size *= Multiple)
{
type = GET_PARAM(0);
mat_size = GET_PARAM(1);
flags = GET_PARAM(2);
SUBTEST << size << 'x' << size;
cv::ocl::getDevice(info);
gen(src1, size, size, CV_32FC1, Scalar::all(-10), Scalar::all(10));
gen(src2, size, size, CV_32FC1, Scalar::all(-10), Scalar::all(10));
gen(src3, size, size, CV_32FC1, Scalar::all(-10), Scalar::all(10));
gemm(src1, src2, 1.0, src3, 1.0, dst);
CPU_ON;
gemm(src1, src2, 1.0, src3, 1.0, dst);
CPU_OFF;
d_src1.upload(src1);
d_src2.upload(src2);
d_src3.upload(src3);
WARMUP_ON;
ocl::gemm(d_src1, d_src2, 1.0, d_src3, 1.0, d_dst);
WARMUP_OFF;
GPU_ON;
ocl::gemm(d_src1, d_src2, 1.0, d_src3, 1.0, d_dst);
;
GPU_OFF;
GPU_FULL_ON;
d_src1.upload(src1);
d_src2.upload(src2);
d_src3.upload(src3);
ocl::gemm(d_src1, d_src2, 1.0, d_src3, 1.0, d_dst);
d_dst.download(dst);
GPU_FULL_OFF;
}
};
TEST_P(Gemm, Performance)
{
cv::Mat a = randomMat(mat_size, type, 0.0, 10.0);
cv::Mat b = randomMat(mat_size, type, 0.0, 10.0);
cv::Mat c = randomMat(mat_size, type, 0.0, 10.0);
cv::ocl::oclMat ocl_dst;
double totalgputick = 0;
double totalgputick_kernel = 0;
double t1 = 0;
double t2 = 0;
for(int j = 0; j < LOOP_TIMES + 1; j ++)
{
t1 = (double)cvGetTickCount();//gpu start1
cv::ocl::oclMat ga = cv::ocl::oclMat(a);//upload
cv::ocl::oclMat gb = cv::ocl::oclMat(b);//upload
cv::ocl::oclMat gc = cv::ocl::oclMat(c);//upload
t2 = (double)cvGetTickCount(); //kernel
cv::ocl::gemm(ga, gb, 1.0, gc, 1.0, ocl_dst, flags);
t2 = (double)cvGetTickCount() - t2;//kernel
cv::Mat cpu_dst;
ocl_dst.download (cpu_dst);//download
t1 = (double)cvGetTickCount() - t1;//gpu end
if(j == 0)
continue;
totalgputick = t1 + totalgputick;
totalgputick_kernel = t2 + totalgputick_kernel;
}
cout << "average gpu runtime is " << totalgputick / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
cout << "average gpu runtime without data transfer is " << totalgputick_kernel / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
}
INSTANTIATE_TEST_CASE_P(ocl_gemm, Gemm, testing::Combine(
testing::Values(CV_32FC1, CV_32FC2/* , CV_64FC1, CV_64FC2*/),
testing::Values(cv::Size(512, 512), cv::Size(1024, 1024)),
testing::Values(0, (int)cv::GEMM_1_T, (int)cv::GEMM_2_T, (int)(cv::GEMM_1_T + cv::GEMM_2_T))));
#endif
}

197
modules/ocl/perf/perf_haar.cpp
View File

@ -10,12 +10,12 @@
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2010-2012, Institute Of Software Chinese Academy Of Science, all rights reserved.
// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @Authors
// Jia Haipeng, jiahaipeng95@gmail.com
// Fangfang Bai, fangfang@multicorewareinc.com
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
@ -30,7 +30,7 @@
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// This software is provided by the copyright holders and contributors as is and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
@ -42,132 +42,97 @@
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "precomp.hpp"
#ifdef HAVE_OPENCL
///////////// Haar ////////////////////////
namespace cv
{
namespace ocl
{
using namespace cvtest;
using namespace testing;
using namespace std;
using namespace cv;
extern std::string workdir;
struct getRect
{
Rect operator ()(const CvAvgComp &e) const
Rect operator()(const CvAvgComp &e) const
{
return e.rect;
}
};
PARAM_TEST_CASE(HaarTestBase, int, int)
class CascadeClassifier_GPU : public OclCascadeClassifier
{
//std::vector<cv::ocl::Info> oclinfo;
cv::ocl::OclCascadeClassifier cascade, nestedCascade;
cv::CascadeClassifier cpucascade, cpunestedCascade;
// Mat img;
double scale;
int index;
virtual void SetUp()
public:
void detectMultiScale(oclMat &image,
CV_OUT std::vector<cv::Rect>& faces,
double scaleFactor = 1.1,
int minNeighbors = 3, int flags = 0,
Size minSize = Size(),
Size maxSize = Size())
{
scale = 1.0;
index = 0;
string cascadeName = "../../../data/haarcascades/haarcascade_frontalface_alt.xml";
if( (!cascade.load( cascadeName )) || (!cpucascade.load(cascadeName)))
{
cout << "ERROR: Could not load classifier cascade" << endl;
return;
}
//int devnums = getDevice(oclinfo);
//CV_Assert(devnums>0);
////if you want to use undefault device, set it here
////setDevice(oclinfo[0]);
//cv::ocl::setBinpath("E:\\");
(void)maxSize;
MemStorage storage(cvCreateMemStorage(0));
//CvMat img=image;
CvSeq *objs = oclHaarDetectObjects(image, storage, scaleFactor, minNeighbors, flags, minSize);
vector<CvAvgComp> vecAvgComp;
Seq<CvAvgComp>(objs).copyTo(vecAvgComp);
faces.resize(vecAvgComp.size());
std::transform(vecAvgComp.begin(), vecAvgComp.end(), faces.begin(), getRect());
}
};
////////////////////////////////faceDetect/////////////////////////////////////////////////
struct Haar : HaarTestBase {};
TEST_F(Haar, FaceDetect)
{
string imgName = workdir + "lena.jpg";
Mat img = imread( imgName, 1 );
if(img.empty())
{
std::cout << imgName << std::endl;
return ;
}
//int i = 0;
double t = 0;
vector<Rect> faces, oclfaces;
// const static Scalar colors[] = { CV_RGB(0, 0, 255),
// CV_RGB(0, 128, 255),
// CV_RGB(0, 255, 255),
// CV_RGB(0, 255, 0),
// CV_RGB(255, 128, 0),
// CV_RGB(255, 255, 0),
// CV_RGB(255, 0, 0),
// CV_RGB(255, 0, 255)
// } ;
Mat gray, smallImg(cvRound (img.rows / scale), cvRound(img.cols / scale), CV_8UC1 );
MemStorage storage(cvCreateMemStorage(0));
cvtColor( img, gray, CV_BGR2GRAY );
resize( gray, smallImg, smallImg.size(), 0, 0, INTER_LINEAR );
equalizeHist( smallImg, smallImg );
t = (double)cvGetTickCount();
for(int k = 0; k < LOOP_TIMES; k++)
{
cpucascade.detectMultiScale( smallImg, faces, 1.1,
3, 0
| CV_HAAR_SCALE_IMAGE
, Size(30, 30), Size(0, 0) );
}
t = (double)cvGetTickCount() - t ;
printf( "cpudetection time = %g ms\n", t / (LOOP_TIMES * (double)cvGetTickFrequency() * 1000.) );
cv::ocl::oclMat image;
CvSeq *_objects=NULL;
t = (double)cvGetTickCount();
for(int k = 0; k < LOOP_TIMES; k++)
{
image.upload(smallImg);
_objects = cascade.oclHaarDetectObjects( image, storage, 1.1,
3, 0
| CV_HAAR_SCALE_IMAGE
, Size(30, 30), Size(0, 0) );
}
t = (double)cvGetTickCount() - t ;
printf( "ocldetection time = %g ms\n", t / (LOOP_TIMES * (double)cvGetTickFrequency() * 1000.) );
vector<CvAvgComp> vecAvgComp;
Seq<CvAvgComp>(_objects).copyTo(vecAvgComp);
oclfaces.resize(vecAvgComp.size());
std::transform(vecAvgComp.begin(), vecAvgComp.end(), oclfaces.begin(), getRect());
//for( vector<Rect>::const_iterator r = faces.begin(); r != faces.end(); r++, i++ )
//{
// Mat smallImgROI;
// Point center;
// Scalar color = colors[i%8];
// int radius;
// center.x = cvRound((r->x + r->width*0.5)*scale);
// center.y = cvRound((r->y + r->height*0.5)*scale);
// radius = cvRound((r->width + r->height)*0.25*scale);
// circle( img, center, radius, color, 3, 8, 0 );
//}
//namedWindow("result");
//imshow("result",img);
//waitKey(0);
//destroyAllWindows();
}
#endif // HAVE_OPENCL
}
TEST(Haar)
{
Mat img = imread(abspath("basketball1.png"), CV_LOAD_IMAGE_GRAYSCALE);
if (img.empty())
{
throw runtime_error("can't open basketball1.png");
}
CascadeClassifier faceCascadeCPU;
if (!faceCascadeCPU.load(abspath("haarcascade_frontalface_alt.xml")))
{
throw runtime_error("can't load haarcascade_frontalface_alt.xml");
}
vector<Rect> faces;
SUBTEST << img.cols << "x" << img.rows << "; scale image";
CPU_ON;
faceCascadeCPU.detectMultiScale(img, faces,
1.1, 2, 0 | CV_HAAR_SCALE_IMAGE, Size(30, 30));
CPU_OFF;
ocl::CascadeClassifier_GPU faceCascade;
if (!faceCascade.load(abspath("haarcascade_frontalface_alt.xml")))
{
throw runtime_error("can't load haarcascade_frontalface_alt.xml");
}
ocl::oclMat d_img(img);
faces.clear();
WARMUP_ON;
faceCascade.detectMultiScale(d_img, faces,
1.1, 2, 0 | CV_HAAR_SCALE_IMAGE, Size(30, 30));
WARMUP_OFF;
faces.clear();
GPU_ON;
faceCascade.detectMultiScale(d_img, faces,
1.1, 2, 0 | CV_HAAR_SCALE_IMAGE, Size(30, 30));
;
GPU_OFF;
GPU_FULL_ON;
d_img.upload(img);
faceCascade.detectMultiScale(d_img, faces,
1.1, 2, 0 | CV_HAAR_SCALE_IMAGE, Size(30, 30));
GPU_FULL_OFF;
}

150
modules/ocl/perf/perf_hog.cpp
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@ -15,7 +15,7 @@
// Third party copyrights are property of their respective owners.
//
// @Authors
// Peng Xiao, pengxiao@multicorewareinc.com
// Fangfang Bai, fangfang@multicorewareinc.com
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
@ -42,125 +42,47 @@
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "precomp.hpp"
#include <iomanip>
#ifdef HAVE_OPENCL
using namespace cv;
using namespace cv::ocl;
using namespace cvtest;
using namespace testing;
using namespace std;
extern std::string workdir;
#ifndef MWC_TEST_UTILITY
#define MWC_TEST_UTILITY
// Param class
#ifndef IMPLEMENT_PARAM_CLASS
#define IMPLEMENT_PARAM_CLASS(name, type) \
class name \
{ \
public: \
name ( type arg = type ()) : val_(arg) {} \
operator type () const {return val_;} \
private: \
type val_; \
}; \
inline void PrintTo( name param, std::ostream* os) \
{ \
*os << #name << "(" << testing::PrintToString(static_cast< type >(param)) << ")"; \
}
#endif // IMPLEMENT_PARAM_CLASS
#endif // MWC_TEST_UTILITY
IMPLEMENT_PARAM_CLASS(WinSizw48, bool);
PARAM_TEST_CASE(HOG, WinSizw48, bool)
///////////// HOG////////////////////////
TEST(HOG)
{
bool is48;
vector<float> detector;
virtual void SetUp()
Mat src = imread(abspath("road.png"), cv::IMREAD_GRAYSCALE);
if (src.empty())
{
is48 = GET_PARAM(0);
if(is48)
{
detector = cv::ocl::HOGDescriptor::getPeopleDetector48x96();
}
else
{
detector = cv::ocl::HOGDescriptor::getPeopleDetector64x128();
}
}
};
TEST_P(HOG, Performance)
{
cv::Mat img = readImage(workdir + "lena.jpg", cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(img.empty());
// define HOG related arguments
float scale = 1.05f;
//int nlevels = 13;
int gr_threshold = 8;
float hit_threshold = 1.4f;
//bool hit_threshold_auto = true;
int win_width = is48 ? 48 : 64;
int win_stride_width = 8;
int win_stride_height = 8;
bool gamma_corr = true;
Size win_size(win_width, win_width * 2); //(64, 128) or (48, 96)
Size win_stride(win_stride_width, win_stride_height);
cv::ocl::HOGDescriptor gpu_hog(win_size, Size(16, 16), Size(8, 8), Size(8, 8), 9,
cv::ocl::HOGDescriptor::DEFAULT_WIN_SIGMA, 0.2, gamma_corr,
cv::ocl::HOGDescriptor::DEFAULT_NLEVELS);
gpu_hog.setSVMDetector(detector);
double totalgputick = 0;
double totalgputick_kernel = 0;
double t1 = 0;
double t2 = 0;
for(int j = 0; j < LOOP_TIMES + 1; j ++)
{
t1 = (double)cvGetTickCount();//gpu start1
ocl::oclMat d_src(img);//upload
t2 = (double)cvGetTickCount(); //kernel
vector<Rect> found;
gpu_hog.detectMultiScale(d_src, found, hit_threshold, win_stride,
Size(0, 0), scale, gr_threshold);
t2 = (double)cvGetTickCount() - t2;//kernel
// no download time for HOG
t1 = (double)cvGetTickCount() - t1;//gpu end1
if(j == 0)
continue;
totalgputick = t1 + totalgputick;
totalgputick_kernel = t2 + totalgputick_kernel;
throw runtime_error("can't open road.png");
}
cout << "average gpu runtime is " << totalgputick / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
cout << "average gpu runtime without data transfer is " << totalgputick_kernel / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
}
cv::HOGDescriptor hog;
hog.setSVMDetector(hog.getDefaultPeopleDetector());
std::vector<cv::Rect> found_locations;
INSTANTIATE_TEST_CASE_P(GPU_ObjDetect, HOG, testing::Combine(testing::Values(WinSizw48(false), WinSizw48(true)), testing::Values(false)));
SUBTEST << 768 << 'x' << 576 << "; road.png";
#endif //Have opencl
hog.detectMultiScale(src, found_locations);
CPU_ON;
hog.detectMultiScale(src, found_locations);
CPU_OFF;
cv::ocl::HOGDescriptor ocl_hog;
ocl_hog.setSVMDetector(ocl_hog.getDefaultPeopleDetector());
ocl::oclMat d_src;
d_src.upload(src);
WARMUP_ON;
ocl_hog.detectMultiScale(d_src, found_locations);
WARMUP_OFF;
GPU_ON;
ocl_hog.detectMultiScale(d_src, found_locations);
;
GPU_OFF;
GPU_FULL_ON;
d_src.upload(src);
ocl_hog.detectMultiScale(d_src, found_locations);
GPU_FULL_OFF;
}

2683
modules/ocl/perf/perf_imgproc.cpp
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278
modules/ocl/perf/perf_match_template.cpp
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@ -42,191 +42,105 @@
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "precomp.hpp"
#include <iomanip>
#ifdef HAVE_OPENCL
using namespace cv;
using namespace cv::ocl;
using namespace cvtest;
using namespace testing;
using namespace std;
#ifndef MWC_TEST_UTILITY
#define MWC_TEST_UTILITY
//////// Utility
#ifndef DIFFERENT_SIZES
#else
#undef DIFFERENT_SIZES
#endif
#define DIFFERENT_SIZES testing::Values(cv::Size(256, 256), cv::Size(3000, 3000))
// Param class
#ifndef IMPLEMENT_PARAM_CLASS
#define IMPLEMENT_PARAM_CLASS(name, type) \
class name \
{ \
public: \
name ( type arg = type ()) : val_(arg) {} \
operator type () const {return val_;} \
private: \
type val_; \
}; \
inline void PrintTo( name param, std::ostream* os) \
{ \
*os << #name << "(" << testing::PrintToString(static_cast< type >(param)) << ")"; \
}
IMPLEMENT_PARAM_CLASS(Channels, int)
#endif // IMPLEMENT_PARAM_CLASS
#endif // MWC_TEST_UTILITY
////////////////////////////////////////////////////////////////////////////////
// MatchTemplate
#define ALL_TEMPLATE_METHODS testing::Values(TemplateMethod(cv::TM_SQDIFF), TemplateMethod(cv::TM_CCORR), TemplateMethod(cv::TM_CCOEFF), TemplateMethod(cv::TM_SQDIFF_NORMED), TemplateMethod(cv::TM_CCORR_NORMED), TemplateMethod(cv::TM_CCOEFF_NORMED))
IMPLEMENT_PARAM_CLASS(TemplateSize, cv::Size);
const char *TEMPLATE_METHOD_NAMES[6] = {"TM_SQDIFF", "TM_SQDIFF_NORMED", "TM_CCORR", "TM_CCORR_NORMED", "TM_CCOEFF", "TM_CCOEFF_NORMED"};
PARAM_TEST_CASE(MatchTemplate, cv::Size, TemplateSize, Channels, TemplateMethod)
/////////// matchTemplate ////////////////////////
//void InitMatchTemplate()
//{
// Mat src; gen(src, 500, 500, CV_32F, 0, 1);
// Mat templ; gen(templ, 500, 500, CV_32F, 0, 1);
// ocl::oclMat d_src(src), d_templ(templ), d_dst;
// ocl::matchTemplate(d_src, d_templ, d_dst, CV_TM_CCORR);
//}
TEST(matchTemplate)
{
cv::Size size;
cv::Size templ_size;
int cn;
int method;
//vector<cv::ocl::Info> oclinfo;
//InitMatchTemplate();
virtual void SetUp()
Mat src, templ, dst;
int templ_size = 5;
for (int size = Min_Size; size <= Max_Size; size *= Multiple)
{
size = GET_PARAM(0);
templ_size = GET_PARAM(1);
cn = GET_PARAM(2);
method = GET_PARAM(3);
//int devnums = getDevice(oclinfo);
//CV_Assert(devnums > 0);
int all_type[] = {CV_32FC1, CV_32FC4};
std::string type_name[] = {"CV_32FC1", "CV_32FC4"};
for (size_t j = 0; j < sizeof(all_type) / sizeof(int); j++)
{
for(templ_size = 5; templ_size <= 5; templ_size *= 5)
{
gen(src, size, size, all_type[j], 0, 1);
SUBTEST << src.cols << 'x' << src.rows << "; " << type_name[j] << "; templ " << templ_size << 'x' << templ_size << "; CCORR";
gen(templ, templ_size, templ_size, all_type[j], 0, 1);
matchTemplate(src, templ, dst, CV_TM_CCORR);
CPU_ON;
matchTemplate(src, templ, dst, CV_TM_CCORR);
CPU_OFF;
ocl::oclMat d_src(src), d_templ, d_dst;
d_templ.upload(templ);
WARMUP_ON;
ocl::matchTemplate(d_src, d_templ, d_dst, CV_TM_CCORR);
WARMUP_OFF;
GPU_ON;
ocl::matchTemplate(d_src, d_templ, d_dst, CV_TM_CCORR);
;
GPU_OFF;
GPU_FULL_ON;
d_src.upload(src);
d_templ.upload(templ);
ocl::matchTemplate(d_src, d_templ, d_dst, CV_TM_CCORR);
d_dst.download(dst);
GPU_FULL_OFF;
}
}
int all_type_8U[] = {CV_8UC1};
std::string type_name_8U[] = {"CV_8UC1"};
for (size_t j = 0; j < sizeof(all_type_8U) / sizeof(int); j++)
{
for(templ_size = 5; templ_size <= 5; templ_size *= 5)
{
SUBTEST << src.cols << 'x' << src.rows << "; " << type_name_8U[j] << "; templ " << templ_size << 'x' << templ_size << "; CCORR_NORMED";
gen(src, size, size, all_type_8U[j], 0, 255);
gen(templ, templ_size, templ_size, all_type_8U[j], 0, 255);
matchTemplate(src, templ, dst, CV_TM_CCORR_NORMED);
CPU_ON;
matchTemplate(src, templ, dst, CV_TM_CCORR_NORMED);
CPU_OFF;
ocl::oclMat d_src(src);
ocl::oclMat d_templ(templ), d_dst;
WARMUP_ON;
ocl::matchTemplate(d_src, d_templ, d_dst, CV_TM_CCORR_NORMED);
WARMUP_OFF;
GPU_ON;
ocl::matchTemplate(d_src, d_templ, d_dst, CV_TM_CCORR_NORMED);
;
GPU_OFF;
GPU_FULL_ON;
d_src.upload(src);
d_templ.upload(templ);
ocl::matchTemplate(d_src, d_templ, d_dst, CV_TM_CCORR_NORMED);
d_dst.download(dst);
GPU_FULL_OFF;
}
}
}
};
struct MatchTemplate8U : MatchTemplate {};
TEST_P(MatchTemplate8U, Performance)
{
std::cout << "Method: " << TEMPLATE_METHOD_NAMES[method] << std::endl;
std::cout << "Image Size: (" << size.width << ", " << size.height << ")" << std::endl;
std::cout << "Template Size: (" << templ_size.width << ", " << templ_size.height << ")" << std::endl;
std::cout << "Channels: " << cn << std::endl;
cv::Mat image = randomMat(size, CV_MAKETYPE(CV_8U, cn));
cv::Mat templ = randomMat(templ_size, CV_MAKETYPE(CV_8U, cn));
cv::Mat dst_gold;
cv::ocl::oclMat dst;
double totalgputick = 0;
double totalgputick_kernel = 0;
double t1 = 0;
double t2 = 0;
for(int j = 0; j < LOOP_TIMES + 1; j ++)
{
t1 = (double)cvGetTickCount();//gpu start1
cv::ocl::oclMat ocl_image = cv::ocl::oclMat(image);//upload
cv::ocl::oclMat ocl_templ = cv::ocl::oclMat(templ);//upload
t2 = (double)cvGetTickCount(); //kernel
cv::ocl::matchTemplate(ocl_image, ocl_templ, dst, method);
t2 = (double)cvGetTickCount() - t2;//kernel
cv::Mat cpu_dst;
dst.download (cpu_dst);//download
t1 = (double)cvGetTickCount() - t1;//gpu end1
if(j == 0)
continue;
totalgputick = t1 + totalgputick;
totalgputick_kernel = t2 + totalgputick_kernel;
}
cout << "average gpu runtime is " << totalgputick / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
cout << "average gpu runtime without data transfer is " << totalgputick_kernel / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
}
struct MatchTemplate32F : MatchTemplate {};
TEST_P(MatchTemplate32F, Performance)
{
std::cout << "Method: " << TEMPLATE_METHOD_NAMES[method] << std::endl;
std::cout << "Image Size: (" << size.width << ", " << size.height << ")" << std::endl;
std::cout << "Template Size: (" << templ_size.width << ", " << templ_size.height << ")" << std::endl;
std::cout << "Channels: " << cn << std::endl;
cv::Mat image = randomMat(size, CV_MAKETYPE(CV_32F, cn));
cv::Mat templ = randomMat(templ_size, CV_MAKETYPE(CV_32F, cn));
cv::Mat dst_gold;
cv::ocl::oclMat dst;
double totalgputick = 0;
double totalgputick_kernel = 0;
double t1 = 0;
double t2 = 0;
for(int j = 0; j < LOOP_TIMES; j ++)
{
t1 = (double)cvGetTickCount();//gpu start1
cv::ocl::oclMat ocl_image = cv::ocl::oclMat(image);//upload
cv::ocl::oclMat ocl_templ = cv::ocl::oclMat(templ);//upload
t2 = (double)cvGetTickCount(); //kernel
cv::ocl::matchTemplate(ocl_image, ocl_templ, dst, method);
t2 = (double)cvGetTickCount() - t2;//kernel
cv::Mat cpu_dst;
dst.download (cpu_dst);//download
t1 = (double)cvGetTickCount() - t1;//gpu end1
totalgputick = t1 + totalgputick;
totalgputick_kernel = t2 + totalgputick_kernel;
}
cout << "average gpu runtime is " << totalgputick / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
cout << "average gpu runtime without data transfer is " << totalgputick_kernel / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
}
INSTANTIATE_TEST_CASE_P(GPU_ImgProc, MatchTemplate8U,
testing::Combine(
testing::Values(cv::Size(1280, 1024), cv::Size(MWIDTH, MHEIGHT), cv::Size(1800, 1500)),
testing::Values(TemplateSize(cv::Size(5, 5)), TemplateSize(cv::Size(16, 16))/*, TemplateSize(cv::Size(30, 30))*/),
testing::Values(Channels(1), Channels(4)/*, Channels(3)*/),
ALL_TEMPLATE_METHODS
)
);
INSTANTIATE_TEST_CASE_P(GPU_ImgProc, MatchTemplate32F, testing::Combine(
testing::Values(cv::Size(1280, 1024), cv::Size(MWIDTH, MHEIGHT), cv::Size(1800, 1500)),
testing::Values(TemplateSize(cv::Size(5, 5)), TemplateSize(cv::Size(16, 16))/*, TemplateSize(cv::Size(30, 30))*/),
testing::Values(Channels(1), Channels(4) /*, Channels(3)*/),
testing::Values(TemplateMethod(cv::TM_SQDIFF), TemplateMethod(cv::TM_CCORR))));
#endif //HAVE_OPENCL
}

781
modules/ocl/perf/perf_matrix_operation.cpp
View File

@ -10,12 +10,12 @@
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2010-2012, Institute Of Software Chinese Academy Of Science, all rights reserved.
// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @Authors
// Jia Haipeng, jiahaipeng95@gmail.com
// Fangfang Bai, fangfang@multicorewareinc.com
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
@ -30,7 +30,7 @@
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// This software is provided by the copyright holders and contributors as is and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
@ -42,697 +42,140 @@
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "precomp.hpp"
#ifdef HAVE_OPENCL
using namespace cvtest;
using namespace testing;
using namespace std;
using namespace cv::ocl;
////////////////////////////////converto/////////////////////////////////////////////////
PARAM_TEST_CASE(ConvertToTestBase, MatType, MatType)
///////////// ConvertTo////////////////////////
TEST(ConvertTo)
{
int type;
int dst_type;
Mat src, dst;
ocl::oclMat d_src, d_dst;
//src mat
cv::Mat mat;
cv::Mat dst;
int all_type[] = {CV_8UC1, CV_8UC4};
std::string type_name[] = {"CV_8UC1", "CV_8UC4"};
// set up roi
int roicols;
int roirows;
int srcx;
int srcy;
int dstx;
int dsty;
//src mat with roi
cv::Mat mat_roi;
cv::Mat dst_roi;
//std::vector<cv::ocl::Info> oclinfo;
//ocl dst mat for testing
cv::ocl::oclMat gdst_whole;
//ocl mat with roi
cv::ocl::oclMat gmat;
cv::ocl::oclMat gdst;
virtual void SetUp()
for (int size = Min_Size; size <= Max_Size; size *= Multiple)
{
type = GET_PARAM(0);
dst_type = GET_PARAM(1);
for (size_t j = 0; j < sizeof(all_type) / sizeof(int); j++)
{
SUBTEST << size << 'x' << size << "; " << type_name[j] << " to 32FC1";
cv::RNG &rng = TS::ptr()->get_rng();
cv::Size size(MWIDTH, MHEIGHT);
gen(src, size, size, all_type[j], 0, 256);
//gen(dst, size, size, all_type[j], 0, 256);
//d_dst.upload(dst);
src.convertTo(dst, CV_32FC1);
CPU_ON;
src.convertTo(dst, CV_32FC1);
CPU_OFF;
d_src.upload(src);
WARMUP_ON;
d_src.convertTo(d_dst, CV_32FC1);
WARMUP_OFF;
GPU_ON;
d_src.convertTo(d_dst, CV_32FC1);
;
GPU_OFF;
GPU_FULL_ON;
d_src.upload(src);
d_src.convertTo(d_dst, CV_32FC1);
d_dst.download(dst);
GPU_FULL_OFF;
}
mat = randomMat(rng, size, type, 5, 16, false);
dst = randomMat(rng, size, type, 5, 16, false);
//int devnums = getDevice(oclinfo);
//CV_Assert(devnums > 0);
////if you want to use undefault device, set it here
////setDevice(oclinfo[0]);
//setBinpath(CLBINPATH);
}
void Has_roi(int b)
{
//cv::RNG& rng = TS::ptr()->get_rng();
if(b)
{
//randomize ROI
roicols = mat.cols - 1; //start
roirows = mat.rows - 1;
srcx = 1;
srcy = 1;
dstx = 1;
dsty = 1;
}
else
{
roicols = mat.cols;
roirows = mat.rows;
srcx = 0;
srcy = 0;
dstx = 0;
dsty = 0;
};
mat_roi = mat(Rect(srcx, srcy, roicols, roirows));
dst_roi = dst(Rect(dstx, dsty, roicols, roirows));
//gdst_whole = dst;
//gdst = gdst_whole(Rect(dstx,dsty,roicols,roirows));
//gmat = mat_roi;
}
};
struct ConvertTo : ConvertToTestBase {};
TEST_P(ConvertTo, Accuracy)
{
#ifndef PRINT_KERNEL_RUN_TIME
double totalcputick = 0;
double totalgputick = 0;
double totalgputick_kernel = 0;
double t0 = 0;
double t1 = 0;
double t2 = 0;
for(int k = LOOPROISTART; k < LOOPROIEND; k++)
{
totalcputick = 0;
totalgputick = 0;
totalgputick_kernel = 0;
for(int j = 0; j < LOOP_TIMES + 1; j ++)
{
Has_roi(k);
t0 = (double)cvGetTickCount();//cpu start
mat_roi.convertTo(dst_roi, dst_type);
t0 = (double)cvGetTickCount() - t0;//cpu end
t1 = (double)cvGetTickCount();//gpu start1
gdst_whole = dst;
gdst = gdst_whole(Rect(dstx, dsty, roicols, roirows));
gmat = mat_roi;
t2 = (double)cvGetTickCount(); //kernel
gmat.convertTo(gdst, dst_type);
t2 = (double)cvGetTickCount() - t2;//kernel
cv::Mat cpu_dst;
gdst_whole.download (cpu_dst);//download
t1 = (double)cvGetTickCount() - t1;//gpu end1
if(j == 0)
continue;
totalgputick = t1 + totalgputick;
totalcputick = t0 + totalcputick;
totalgputick_kernel = t2 + totalgputick_kernel;
}
if(k == 0)
{
cout << "no roi\n";
}
else
{
cout << "with roi\n";
};
cout << "average cpu runtime is " << totalcputick / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
cout << "average gpu runtime is " << totalgputick / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
cout << "average gpu runtime without data transfer is " << totalgputick_kernel / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
}
#else
for(int j = LOOPROISTART; j < LOOPROIEND; j ++)
{
Has_roi(j);
gdst_whole = dst;
gdst = gdst_whole(Rect(dstx, dsty, roicols, roirows));
gmat = mat_roi;
if(j == 0)
{
cout << "no roi:";
}
else
{
cout << "\nwith roi:";
};
gmat.convertTo(gdst, dst_type);
};
#endif
}
///////////////////////////////////////////copyto/////////////////////////////////////////////////////////////
PARAM_TEST_CASE(CopyToTestBase, MatType, bool)
///////////// copyTo////////////////////////
TEST(copyTo)
{
int type;
Mat src, dst;
ocl::oclMat d_src, d_dst;
cv::Mat mat;
cv::Mat mask;
cv::Mat dst;
int all_type[] = {CV_8UC1, CV_8UC4};
std::string type_name[] = {"CV_8UC1", "CV_8UC4"};
// set up roi
int roicols;
int roirows;
int srcx;
int srcy;
int dstx;
int dsty;
int maskx;
int masky;
//src mat with roi
cv::Mat mat_roi;
cv::Mat mask_roi;
cv::Mat dst_roi;
//std::vector<cv::ocl::Info> oclinfo;
//ocl dst mat for testing
cv::ocl::oclMat gdst_whole;
//ocl mat with roi
cv::ocl::oclMat gmat;
cv::ocl::oclMat gdst;
cv::ocl::oclMat gmask;
virtual void SetUp()
for (int size = Min_Size; size <= Max_Size; size *= Multiple)
{
type = GET_PARAM(0);
for (size_t j = 0; j < sizeof(all_type) / sizeof(int); j++)
{
SUBTEST << size << 'x' << size << "; " << type_name[j] ;
cv::RNG &rng = TS::ptr()->get_rng();
cv::Size size(MWIDTH, MHEIGHT);
gen(src, size, size, all_type[j], 0, 256);
//gen(dst, size, size, all_type[j], 0, 256);
mat = randomMat(rng, size, type, 5, 16, false);
dst = randomMat(rng, size, type, 5, 16, false);
mask = randomMat(rng, size, CV_8UC1, 0, 2, false);
//d_dst.upload(dst);
src.copyTo(dst);
CPU_ON;
src.copyTo(dst);
CPU_OFF;
d_src.upload(src);
WARMUP_ON;
d_src.copyTo(d_dst);
WARMUP_OFF;
GPU_ON;
d_src.copyTo(d_dst);
;
GPU_OFF;
GPU_FULL_ON;
d_src.upload(src);
d_src.copyTo(d_dst);
d_dst.download(dst);
GPU_FULL_OFF;
}
cv::threshold(mask, mask, 0.5, 255., CV_8UC1);
//int devnums = getDevice(oclinfo);
//CV_Assert(devnums > 0);
////if you want to use undefault device, set it here
////setDevice(oclinfo[0]);
//setBinpath(CLBINPATH);
}
void Has_roi(int b)
{
//cv::RNG& rng = TS::ptr()->get_rng();
if(b)
{
//randomize ROI
roicols = mat.cols - 1; //start
roirows = mat.rows - 1;
srcx = 1;
srcy = 1;
dstx = 1;
dsty = 1;
maskx = 1;
masky = 1;
}
else
{
roicols = mat.cols;
roirows = mat.rows;
srcx = 0;
srcy = 0;
dstx = 0;
dsty = 0;
maskx = 0;
masky = 0;
};
mat_roi = mat(Rect(srcx, srcy, roicols, roirows));
mask_roi = mask(Rect(maskx, masky, roicols, roirows));
dst_roi = dst(Rect(dstx, dsty, roicols, roirows));
//gdst_whole = dst;
//gdst = gdst_whole(Rect(dstx,dsty,roicols,roirows));
//gmat = mat_roi;
//gmask = mask_roi;
}
};
struct CopyTo : CopyToTestBase {};
TEST_P(CopyTo, Without_mask)
{
#ifndef PRINT_KERNEL_RUN_TIME
double totalcputick = 0;
double totalgputick = 0;
double totalgputick_kernel = 0;
double t0 = 0;
double t1 = 0;
double t2 = 0;
for(int k = LOOPROISTART; k < LOOPROIEND; k++)
{
totalcputick = 0;
totalgputick = 0;
totalgputick_kernel = 0;
for(int j = 0; j < LOOP_TIMES + 1; j ++)
{
Has_roi(k);
t0 = (double)cvGetTickCount();//cpu start
mat_roi.copyTo(dst_roi);
t0 = (double)cvGetTickCount() - t0;//cpu end
t1 = (double)cvGetTickCount();//gpu start1
gdst_whole = dst;
gdst = gdst_whole(Rect(dstx, dsty, roicols, roirows));
gmat = mat_roi;
t2 = (double)cvGetTickCount(); //kernel
gmat.copyTo(gdst);
t2 = (double)cvGetTickCount() - t2;//kernel
cv::Mat cpu_dst;
gdst_whole.download (cpu_dst);//download
t1 = (double)cvGetTickCount() - t1;//gpu end1
if(j == 0)
continue;
totalgputick = t1 + totalgputick;
totalcputick = t0 + totalcputick;
totalgputick_kernel = t2 + totalgputick_kernel;
}
if(k == 0)
{
cout << "no roi\n";
}
else
{
cout << "with roi\n";
};
cout << "average cpu runtime is " << totalcputick / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
cout << "average gpu runtime is " << totalgputick / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
cout << "average gpu runtime without data transfer is " << totalgputick_kernel / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
}
#else
for(int j = LOOPROISTART; j < LOOPROIEND; j ++)
{
Has_roi(j);
gdst_whole = dst;
gdst = gdst_whole(Rect(dstx, dsty, roicols, roirows));
gmat = mat_roi;
if(j == 0)
{
cout << "no roi:";
}
else
{
cout << "\nwith roi:";
};
gmat.copyTo(gdst);
};
#endif
}
TEST_P(CopyTo, With_mask)
///////////// setTo////////////////////////
TEST(setTo)
{
#ifndef PRINT_KERNEL_RUN_TIME
double totalcputick = 0;
double totalgputick = 0;
double totalgputick_kernel = 0;
double t0 = 0;
double t1 = 0;
double t2 = 0;
for(int k = LOOPROISTART; k < LOOPROIEND; k++)
Mat src, dst;
Scalar val(1, 2, 3, 4);
ocl::oclMat d_src, d_dst;
int all_type[] = {CV_8UC1, CV_8UC4};
std::string type_name[] = {"CV_8UC1", "CV_8UC4"};
for (int size = Min_Size; size <= Max_Size; size *= Multiple)
{
totalcputick = 0;
totalgputick = 0;
totalgputick_kernel = 0;
for(int j = 0; j < LOOP_TIMES + 1; j ++)
for (size_t j = 0; j < sizeof(all_type) / sizeof(int); j++)
{
Has_roi(k);
SUBTEST << size << 'x' << size << "; " << type_name[j] ;
t0 = (double)cvGetTickCount();//cpu start
mat_roi.copyTo(dst_roi, mask_roi);
t0 = (double)cvGetTickCount() - t0;//cpu end
gen(src, size, size, all_type[j], 0, 256);
t1 = (double)cvGetTickCount();//gpu start1
gdst_whole = dst;
gdst = gdst_whole(Rect(dstx, dsty, roicols, roirows));
src.setTo(val);
gmat = mat_roi;
gmask = mask_roi;
t2 = (double)cvGetTickCount(); //kernel
gmat.copyTo(gdst, gmask);
t2 = (double)cvGetTickCount() - t2;//kernel
cv::Mat cpu_dst;
gdst_whole.download (cpu_dst);//download
t1 = (double)cvGetTickCount() - t1;//gpu end1
if(j == 0)
continue;
totalgputick = t1 + totalgputick;
totalcputick = t0 + totalcputick;
totalgputick_kernel = t2 + totalgputick_kernel;
CPU_ON;
src.setTo(val);
CPU_OFF;
d_src.upload(src);
WARMUP_ON;
d_src.setTo(val);
WARMUP_OFF;
GPU_ON;
d_src.setTo(val);
;
GPU_OFF;
GPU_FULL_ON;
d_src.upload(src);
d_src.setTo(val);
GPU_FULL_OFF;
}
if(k == 0)
{
cout << "no roi\n";
}
else
{
cout << "with roi\n";
};
cout << "average cpu runtime is " << totalcputick / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
cout << "average gpu runtime is " << totalgputick / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
cout << "average gpu runtime without data transfer is " << totalgputick_kernel / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
}
#else
for(int j = LOOPROISTART; j < LOOPROIEND; j ++)
{
Has_roi(j);
gdst_whole = dst;
gdst = gdst_whole(Rect(dstx, dsty, roicols, roirows));
gmat = mat_roi;
gmask = mask_roi;
if(j == 0)
{
cout << "no roi:";
}
else
{
cout << "\nwith roi:";
};
gmat.copyTo(gdst, gmask);
};
#endif
}
///////////////////////////////////////////copyto/////////////////////////////////////////////////////////////
PARAM_TEST_CASE(SetToTestBase, MatType, bool)
{
int type;
cv::Scalar val;
cv::Mat mat;
cv::Mat mask;
// set up roi
int roicols;
int roirows;
int srcx;
int srcy;
int maskx;
int masky;
//src mat with roi
cv::Mat mat_roi;
cv::Mat mask_roi;
//std::vector<cv::ocl::Info> oclinfo;
//ocl dst mat for testing
cv::ocl::oclMat gmat_whole;
//ocl mat with roi
cv::ocl::oclMat gmat;
cv::ocl::oclMat gmask;
virtual void SetUp()
{
type = GET_PARAM(0);
cv::RNG &rng = TS::ptr()->get_rng();
cv::Size size(MWIDTH, MHEIGHT);
mat = randomMat(rng, size, type, 5, 16, false);
mask = randomMat(rng, size, CV_8UC1, 0, 2, false);
cv::threshold(mask, mask, 0.5, 255., CV_8UC1);
val = cv::Scalar(rng.uniform(-10.0, 10.0), rng.uniform(-10.0, 10.0), rng.uniform(-10.0, 10.0), rng.uniform(-10.0, 10.0));
//int devnums = getDevice(oclinfo);
//CV_Assert(devnums > 0);
////if you want to use undefault device, set it here
////setDevice(oclinfo[0]);
//setBinpath(CLBINPATH);
}
void Has_roi(int b)
{
//cv::RNG& rng = TS::ptr()->get_rng();
if(b)
{
//randomize ROI
roicols = mat.cols - 1; //start
roirows = mat.rows - 1;
srcx = 1;
srcy = 1;
maskx = 1;
masky = 1;
}
else
{
roicols = mat.cols;
roirows = mat.rows;
srcx = 0;
srcy = 0;
maskx = 0;
masky = 0;
};
mat_roi = mat(Rect(srcx, srcy, roicols, roirows));
mask_roi = mask(Rect(maskx, masky, roicols, roirows));
//gmat_whole = mat;
//gmat = gmat_whole(Rect(srcx,srcy,roicols,roirows));
//gmask = mask_roi;
}
};
struct SetTo : SetToTestBase {};
TEST_P(SetTo, Without_mask)
{
#ifndef PRINT_KERNEL_RUN_TIME
double totalcputick = 0;
double totalgputick = 0;
double totalgputick_kernel = 0;
double t0 = 0;
double t1 = 0;
double t2 = 0;
for(int k = LOOPROISTART; k < LOOPROIEND; k++)
{
totalcputick = 0;
totalgputick = 0;
totalgputick_kernel = 0;
for(int j = 0; j < LOOP_TIMES + 1; j ++)
{
Has_roi(k);
t0 = (double)cvGetTickCount();//cpu start
mat_roi.setTo(val);
t0 = (double)cvGetTickCount() - t0;//cpu end
t1 = (double)cvGetTickCount();//gpu start1
gmat_whole = mat;
gmat = gmat_whole(Rect(srcx, srcy, roicols, roirows));
t2 = (double)cvGetTickCount(); //kernel
gmat.setTo(val);
t2 = (double)cvGetTickCount() - t2;//kernel
cv::Mat cpu_dst;
gmat_whole.download(cpu_dst);//download
t1 = (double)cvGetTickCount() - t1;//gpu end1
if(j == 0)
continue;
totalgputick = t1 + totalgputick;
totalcputick = t0 + totalcputick;
totalgputick_kernel = t2 + totalgputick_kernel;
}
if(k == 0)
{
cout << "no roi\n";
}
else
{
cout << "with roi\n";
};
cout << "average cpu runtime is " << totalcputick / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
cout << "average gpu runtime is " << totalgputick / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
cout << "average gpu runtime without data transfer is " << totalgputick_kernel / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
}
#else
for(int j = LOOPROISTART; j < LOOPROIEND; j ++)
{
Has_roi(j);
gmat_whole = mat;
gmat = gmat_whole(Rect(srcx, srcy, roicols, roirows));
if(j == 0)
{
cout << "no roi:";
}
else
{
cout << "\nwith roi:";
};
gmat.setTo(val);
};
#endif
}
TEST_P(SetTo, With_mask)
{
#ifndef PRINT_KERNEL_RUN_TIME
double totalcputick = 0;
double totalgputick = 0;
double totalgputick_kernel = 0;
double t0 = 0;
double t1 = 0;
double t2 = 0;
for(int k = LOOPROISTART; k < LOOPROIEND; k++)
{
totalcputick = 0;
totalgputick = 0;
totalgputick_kernel = 0;
for(int j = 0; j < LOOP_TIMES + 1; j ++)
{
Has_roi(k);
t0 = (double)cvGetTickCount();//cpu start
mat_roi.setTo(val, mask_roi);
t0 = (double)cvGetTickCount() - t0;//cpu end
t1 = (double)cvGetTickCount();//gpu start1
gmat_whole = mat;
gmat = gmat_whole(Rect(srcx, srcy, roicols, roirows));
gmask = mask_roi;
t2 = (double)cvGetTickCount(); //kernel
gmat.setTo(val, gmask);
t2 = (double)cvGetTickCount() - t2;//kernel
cv::Mat cpu_dst;
gmat_whole.download(cpu_dst);//download
t1 = (double)cvGetTickCount() - t1;//gpu end1
if(j == 0)
continue;
totalgputick = t1 + totalgputick;
totalcputick = t0 + totalcputick;
totalgputick_kernel = t2 + totalgputick_kernel;
}
if(k == 0)
{
cout << "no roi\n";
}
else
{
cout << "with roi\n";
};
cout << "average cpu runtime is " << totalcputick / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
cout << "average gpu runtime is " << totalgputick / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
cout << "average gpu runtime without data transfer is " << totalgputick_kernel / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
}
#else
for(int j = LOOPROISTART; j < LOOPROIEND; j ++)
{
Has_roi(j);
gmat_whole = mat;
gmat = gmat_whole(Rect(srcx, srcy, roicols, roirows));
gmask = mask_roi;
if(j == 0)
{
cout << "no roi:";
}
else
{
cout << "\nwith roi:";
};
gmat.setTo(val, gmask);
};
#endif
}
PARAM_TEST_CASE(DataTransfer, MatType, bool)
{
int type;
cv::Mat mat;
cv::ocl::oclMat gmat_whole;
virtual void SetUp()
{
type = GET_PARAM(0);
cv::RNG &rng = TS::ptr()->get_rng();
cv::Size size(MWIDTH, MHEIGHT);
mat = randomMat(rng, size, type, 5, 16, false);
}
};
TEST_P(DataTransfer, perf)
{
double totaluploadtick = 0;
double totaldownloadtick = 0;
double totaltick = 0;
double t0 = 0;
double t1 = 0;
cv::Mat cpu_dst;
for(int j = 0; j < LOOP_TIMES + 1; j ++)
{
t0 = (double)cvGetTickCount();
gmat_whole.upload(mat);//upload
t0 = (double)cvGetTickCount() - t0;
t1 = (double)cvGetTickCount();
gmat_whole.download(cpu_dst);//download
t1 = (double)cvGetTickCount() - t1;
if(j == 0)
continue;
totaluploadtick = t0 + totaluploadtick;
totaldownloadtick = t1 + totaldownloadtick;
}
totaltick = totaluploadtick + totaldownloadtick;
cout << "average upload time is " << totaluploadtick / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
cout << "average download time is " << totaldownloadtick / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
cout << "average data transfer time is " << totaltick / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
}
//**********test************
INSTANTIATE_TEST_CASE_P(MatrixOperation, ConvertTo, Combine(
Values(CV_8UC1, CV_8UC4, CV_32FC1, CV_32FC4),
Values(CV_8UC1, CV_8UC4, CV_32FC1, CV_32FC4)));
INSTANTIATE_TEST_CASE_P(MatrixOperation, CopyTo, Combine(
Values(CV_8UC1, CV_8UC4, CV_32FC1, CV_32FC4),
Values(false))); // Values(false) is the reserved parameter
INSTANTIATE_TEST_CASE_P(MatrixOperation, SetTo, Combine(
Values(CV_8UC1, CV_8UC4, CV_32FC1, CV_32FC4),
Values(false))); // Values(false) is the reserved parameter
INSTANTIATE_TEST_CASE_P(MatrixOperation, DataTransfer, Combine(
Values(CV_8UC1, CV_8UC3, CV_8UC4, CV_32FC1, CV_32FC3, CV_32FC4),
Values(false))); // Values(false) is the reserved parameter
#endif
}

84
modules/ocl/perf/perf_norm.cpp Normal file
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@ -0,0 +1,84 @@
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @Authors
// Fangfang Bai, fangfang@multicorewareinc.com
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other oclMaterials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors as is and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "precomp.hpp"
///////////// norm////////////////////////
TEST(norm)
{
Mat src, buf;
ocl::oclMat d_src, d_buf;
for (int size = Min_Size; size <= Max_Size; size *= Multiple)
{
SUBTEST << size << 'x' << size << "; CV_8UC1; NORM_INF";
gen(src, size, size, CV_8UC1, Scalar::all(0), Scalar::all(1));
gen(buf, size, size, CV_8UC1, Scalar::all(0), Scalar::all(1));
norm(src, NORM_INF);
CPU_ON;
norm(src, NORM_INF);
CPU_OFF;
d_src.upload(src);
d_buf.upload(buf);
WARMUP_ON;
ocl::norm(d_src, d_buf, NORM_INF);
WARMUP_OFF;
GPU_ON;
ocl::norm(d_src, d_buf, NORM_INF);
;
GPU_OFF;
GPU_FULL_ON;
d_src.upload(src);
ocl::norm(d_src, d_buf, NORM_INF);
GPU_FULL_OFF;
}
}

126
modules/ocl/perf/perf_pyrdown.cpp
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@ -1,4 +1,4 @@
///////////////////////////////////////////////////////////////////////////////////////
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
@ -15,7 +15,7 @@
// Third party copyrights are property of their respective owners.
//
// @Authors
// fangfang bai, fangfang@multicorewareinc.com
// Fangfang Bai, fangfang@multicorewareinc.com
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
@ -30,7 +30,7 @@
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// This software is provided by the copyright holders and contributors as is and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
@ -42,96 +42,46 @@
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "precomp.hpp"
#include <iomanip>
#ifdef HAVE_OPENCL
using namespace cv;
using namespace cv::ocl;
using namespace cvtest;
using namespace testing;
using namespace std;
PARAM_TEST_CASE(PyrDown, MatType, int)
///////////// pyrDown //////////////////////
TEST(pyrDown)
{
int type;
int channels;
//src mat
cv::Mat mat1;
cv::Mat dst;
Mat src, dst;
int all_type[] = {CV_8UC1, CV_8UC4};
std::string type_name[] = {"CV_8UC1", "CV_8UC4"};
//std::vector<cv::ocl::Info> oclinfo;
//ocl dst mat for testing
cv::ocl::oclMat gmat1;
cv::ocl::oclMat gdst;
virtual void SetUp()
for (int size = Min_Size; size <= Max_Size; size *= Multiple)
{
type = GET_PARAM(0);
channels = GET_PARAM(1);
//int devnums = getDevice(oclinfo);
//CV_Assert(devnums > 0);
}
};
#define VARNAME(A) string(#A);
////////////////////////////////PyrDown/////////////////////////////////////////////////
TEST_P(PyrDown, Mat)
{
cv::Size size(MWIDTH, MHEIGHT);
cv::RNG &rng = TS::ptr()->get_rng();
mat1 = randomMat(rng, size, CV_MAKETYPE(type, channels), 5, 16, false);
cv::ocl::oclMat gdst;
double totalgputick = 0;
double totalgputick_kernel = 0;
double t1 = 0;
double t2 = 0;
for (int j = 0; j < LOOP_TIMES + 1; j ++)
{
t1 = (double)cvGetTickCount();//gpu start1
cv::ocl::oclMat gmat1(mat1);
t2 = (double)cvGetTickCount(); //kernel
cv::ocl::pyrDown(gmat1, gdst);
t2 = (double)cvGetTickCount() - t2;//kernel
cv::Mat cpu_dst;
gdst.download(cpu_dst);
t1 = (double)cvGetTickCount() - t1;//gpu end1
if (j == 0)
for (size_t j = 0; j < sizeof(all_type) / sizeof(int); j++)
{
continue;
SUBTEST << size << 'x' << size << "; " << type_name[j] ;
gen(src, size, size, all_type[j], 0, 256);
pyrDown(src, dst);
CPU_ON;
pyrDown(src, dst);
CPU_OFF;
ocl::oclMat d_src(src);
ocl::oclMat d_dst;
WARMUP_ON;
ocl::pyrDown(d_src, d_dst);
WARMUP_OFF;
GPU_ON;
ocl::pyrDown(d_src, d_dst);
;
GPU_OFF;
GPU_FULL_ON;
d_src.upload(src);
ocl::pyrDown(d_src, d_dst);
d_dst.download(dst);
GPU_FULL_OFF;
}
totalgputick = t1 + totalgputick;
totalgputick_kernel = t2 + totalgputick_kernel;
}
cout << "average gpu runtime is " << totalgputick / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
cout << "average gpu runtime without data transfer is " << totalgputick_kernel / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
}
//********test****************
INSTANTIATE_TEST_CASE_P(GPU_ImgProc, PyrDown, Combine(
Values(CV_8U, CV_32F), Values(1, 4)));
#endif // HAVE_OPENCL
}

143
modules/ocl/perf/perf_pyrlk.cpp Normal file
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@ -0,0 +1,143 @@
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @Authors
// Fangfang Bai, fangfang@multicorewareinc.com
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other oclMaterials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors as is and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "precomp.hpp"
///////////// PyrLKOpticalFlow ////////////////////////
TEST(PyrLKOpticalFlow)
{
std::string images1[] = {"rubberwhale1.png", "aloeL.jpg"};
std::string images2[] = {"rubberwhale2.png", "aloeR.jpg"};
for (size_t i = 0; i < sizeof(images1) / sizeof(std::string); i++)
{
Mat frame0 = imread(abspath(images1[i]), i == 0 ? IMREAD_COLOR : IMREAD_GRAYSCALE);
if (frame0.empty())
{
std::string errstr = "can't open " + images1[i];
throw runtime_error(errstr);
}
Mat frame1 = imread(abspath(images2[i]), i == 0 ? IMREAD_COLOR : IMREAD_GRAYSCALE);
if (frame1.empty())
{
std::string errstr = "can't open " + images2[i];
throw runtime_error(errstr);
}
Mat gray_frame;
if (i == 0)
{
cvtColor(frame0, gray_frame, COLOR_BGR2GRAY);
}
for (int points = Min_Size; points <= Max_Size; points *= Multiple)
{
if (i == 0)
SUBTEST << frame0.cols << "x" << frame0.rows << "; color; " << points << " points";
else
SUBTEST << frame0.cols << "x" << frame0.rows << "; gray; " << points << " points";
Mat nextPts_cpu;
Mat status_cpu;
vector<Point2f> pts;
goodFeaturesToTrack(i == 0 ? gray_frame : frame0, pts, points, 0.01, 0.0);
vector<Point2f> nextPts;
vector<unsigned char> status;
vector<float> err;
calcOpticalFlowPyrLK(frame0, frame1, pts, nextPts, status, err);
CPU_ON;
calcOpticalFlowPyrLK(frame0, frame1, pts, nextPts, status, err);
CPU_OFF;
ocl::PyrLKOpticalFlow d_pyrLK;
ocl::oclMat d_frame0(frame0);
ocl::oclMat d_frame1(frame1);
ocl::oclMat d_pts;
Mat pts_mat(1, (int)pts.size(), CV_32FC2, (void *)&pts[0]);
d_pts.upload(pts_mat);
ocl::oclMat d_nextPts;
ocl::oclMat d_status;
ocl::oclMat d_err;
WARMUP_ON;
d_pyrLK.sparse(d_frame0, d_frame1, d_pts, d_nextPts, d_status, &d_err);
WARMUP_OFF;
GPU_ON;
d_pyrLK.sparse(d_frame0, d_frame1, d_pts, d_nextPts, d_status, &d_err);
;
GPU_OFF;
GPU_FULL_ON;
d_frame0.upload(frame0);
d_frame1.upload(frame1);
d_pts.upload(pts_mat);
d_pyrLK.sparse(d_frame0, d_frame1, d_pts, d_nextPts, d_status, &d_err);
if (!d_nextPts.empty())
{
d_nextPts.download(nextPts_cpu);
}
if (!d_status.empty())
{
d_status.download(status_cpu);
}
GPU_FULL_OFF;
}
}
}

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