10 Commits

Autor SHA1 Mensagem Data
Alexander Smorkalov 514b714cc2 opencv_run_all_tests.sh script added to -tests package.
(cherry picked from commit d45350a06a)
2014-01-29 17:41:59 +04:00
Alexander Smorkalov 7fec87d3f6 Multiple fixes for tests deb package build.
Added opencv_testing.sh.in file;
opencv_testing.sh installation guarded by OS check.
(cherry picked from commit d9dc5ffa91)
2014-01-28 17:56:22 +04:00
Alexander Smorkalov 00d555f051 Code review notes fixed.
Env setup for testing package implemented using /etc/profile.d;
Variable with path for all native samples added;
Path for test binaries and test data updated.
(cherry picked from commit 39201e68e2)
2014-01-27 21:37:01 +04:00
Alexander Smorkalov 6cf7d6ef4e OpenCV C/C++/OCL/CUDA samples install path fixed. Install rools for tests added.
(cherry picked from commit f332cba14b)
2014-01-27 21:36:43 +04:00
Alexander Smorkalov 3ebdcafdd3 All installed files marked with component names for install customization.
(cherry picked from commit b75cbfde45)

Conflicts:

	cmake/OpenCVModule.cmake
2014-01-24 17:13:22 +04:00
Alexander Smorkalov a348f3eeaa OpenCV version++ 2014-01-24 14:49:56 +04:00
Alexander Smorkalov 33f423de04 Improvements in package build.
(cherry picked from commit 086792ec06)
2014-01-24 14:48:51 +04:00
Alexander Smorkalov d6ba52c3f9 Initial Linux packages build rools for CPack.
(cherry picked from commit 7821fe2bde)

Conflicts:

	cmake/OpenCVModule.cmake
2014-01-24 14:48:19 +04:00
Vladislav Vinogradov e9638d0997 disable CUDA generalized Hough Transform
(cherry picked from commit 33d42b740c)
2014-01-24 14:46:36 +04:00
Vladislav Vinogradov 5cb0084547 split CUDA Hough sources
(cherry picked from commit d847387694)
2014-01-24 14:46:16 +04:00
48 arquivos alterados com 1641 adições e 1036 exclusões
+1 -1
Ver Arquivo
@@ -46,5 +46,5 @@ if(ENABLE_SOLUTION_FOLDERS)
endif()
if(NOT BUILD_SHARED_LIBS)
ocv_install_target(${JASPER_LIBRARY} EXPORT OpenCVModules ARCHIVE DESTINATION ${OPENCV_3P_LIB_INSTALL_PATH} COMPONENT main)
ocv_install_target(${JASPER_LIBRARY} EXPORT OpenCVModules ARCHIVE DESTINATION ${OPENCV_3P_LIB_INSTALL_PATH} COMPONENT dev)
endif()
+1 -1
Ver Arquivo
@@ -39,5 +39,5 @@ if(ENABLE_SOLUTION_FOLDERS)
endif()
if(NOT BUILD_SHARED_LIBS)
ocv_install_target(${JPEG_LIBRARY} EXPORT OpenCVModules ARCHIVE DESTINATION ${OPENCV_3P_LIB_INSTALL_PATH} COMPONENT main)
ocv_install_target(${JPEG_LIBRARY} EXPORT OpenCVModules ARCHIVE DESTINATION ${OPENCV_3P_LIB_INSTALL_PATH} COMPONENT dev)
endif()
+1 -1
Ver Arquivo
@@ -55,5 +55,5 @@ if(ENABLE_SOLUTION_FOLDERS)
endif()
if(NOT BUILD_SHARED_LIBS)
ocv_install_target(${PNG_LIBRARY} EXPORT OpenCVModules ARCHIVE DESTINATION ${OPENCV_3P_LIB_INSTALL_PATH} COMPONENT main)
ocv_install_target(${PNG_LIBRARY} EXPORT OpenCVModules ARCHIVE DESTINATION ${OPENCV_3P_LIB_INSTALL_PATH} COMPONENT dev)
endif()
+1 -1
Ver Arquivo
@@ -115,5 +115,5 @@ if(ENABLE_SOLUTION_FOLDERS)
endif()
if(NOT BUILD_SHARED_LIBS)
ocv_install_target(${TIFF_LIBRARY} EXPORT OpenCVModules ARCHIVE DESTINATION ${OPENCV_3P_LIB_INSTALL_PATH} COMPONENT main)
ocv_install_target(${TIFF_LIBRARY} EXPORT OpenCVModules ARCHIVE DESTINATION ${OPENCV_3P_LIB_INSTALL_PATH} COMPONENT dev)
endif()
+1 -1
Ver Arquivo
@@ -62,7 +62,7 @@ if(ENABLE_SOLUTION_FOLDERS)
endif()
if(NOT BUILD_SHARED_LIBS)
ocv_install_target(IlmImf EXPORT OpenCVModules ARCHIVE DESTINATION ${OPENCV_3P_LIB_INSTALL_PATH} COMPONENT main)
ocv_install_target(IlmImf EXPORT OpenCVModules ARCHIVE DESTINATION ${OPENCV_3P_LIB_INSTALL_PATH} COMPONENT dev)
endif()
set(OPENEXR_INCLUDE_PATHS ${OPENEXR_INCLUDE_PATHS} PARENT_SCOPE)
+3 -3
Ver Arquivo
@@ -248,9 +248,9 @@ if(ENABLE_SOLUTION_FOLDERS)
endif()
ocv_install_target(tbb EXPORT OpenCVModules
RUNTIME DESTINATION ${OPENCV_BIN_INSTALL_PATH} COMPONENT main
LIBRARY DESTINATION ${OPENCV_LIB_INSTALL_PATH} COMPONENT main
ARCHIVE DESTINATION ${OPENCV_3P_LIB_INSTALL_PATH} COMPONENT main
RUNTIME DESTINATION ${OPENCV_BIN_INSTALL_PATH} COMPONENT libs
LIBRARY DESTINATION ${OPENCV_LIB_INSTALL_PATH} COMPONENT libs
ARCHIVE DESTINATION ${OPENCV_3P_LIB_INSTALL_PATH} COMPONENT dev
)
# get TBB version
+1 -1
Ver Arquivo
@@ -95,5 +95,5 @@ if(ENABLE_SOLUTION_FOLDERS)
endif()
if(NOT BUILD_SHARED_LIBS)
ocv_install_target(${ZLIB_LIBRARY} EXPORT OpenCVModules ARCHIVE DESTINATION ${OPENCV_3P_LIB_INSTALL_PATH} COMPONENT main)
ocv_install_target(${ZLIB_LIBRARY} EXPORT OpenCVModules ARCHIVE DESTINATION ${OPENCV_3P_LIB_INSTALL_PATH} COMPONENT dev)
endif()
+26 -1
Ver Arquivo
@@ -197,7 +197,7 @@ OCV_OPTION(INSTALL_C_EXAMPLES "Install C examples" OFF )
OCV_OPTION(INSTALL_PYTHON_EXAMPLES "Install Python examples" OFF )
OCV_OPTION(INSTALL_ANDROID_EXAMPLES "Install Android examples" OFF IF ANDROID )
OCV_OPTION(INSTALL_TO_MANGLED_PATHS "Enables mangled install paths, that help with side by side installs." OFF IF (UNIX AND NOT ANDROID AND NOT IOS AND BUILD_SHARED_LIBS) )
OCV_OPTION(INSTALL_TESTS "Install accuracy and performance test binaries and test data" OFF)
# OpenCV build options
# ===================================================
@@ -275,6 +275,9 @@ endif()
set(OPENCV_SAMPLES_BIN_INSTALL_PATH "${OpenCV_INSTALL_BINARIES_PREFIX}samples")
set(OPENCV_BIN_INSTALL_PATH "${OpenCV_INSTALL_BINARIES_PREFIX}bin")
if(NOT OPENCV_TEST_INSTALL_PATH)
set(OPENCV_TEST_INSTALL_PATH "${OPENCV_BIN_INSTALL_PATH}")
endif()
if(ANDROID)
set(LIBRARY_OUTPUT_PATH "${OpenCV_BINARY_DIR}/lib/${ANDROID_NDK_ABI_NAME}")
@@ -283,6 +286,7 @@ if(ANDROID)
set(OPENCV_3P_LIB_INSTALL_PATH sdk/native/3rdparty/libs/${ANDROID_NDK_ABI_NAME})
set(OPENCV_CONFIG_INSTALL_PATH sdk/native/jni)
set(OPENCV_INCLUDE_INSTALL_PATH sdk/native/jni/include)
set(OPENCV_SAMPLES_SRC_INSTALL_PATH samples/native)
else()
set(LIBRARY_OUTPUT_PATH "${OpenCV_BINARY_DIR}/lib")
set(3P_LIBRARY_OUTPUT_PATH "${OpenCV_BINARY_DIR}/3rdparty/lib${LIB_SUFFIX}")
@@ -293,9 +297,11 @@ else()
set(OPENCV_LIB_INSTALL_PATH "${OpenCV_INSTALL_BINARIES_PREFIX}lib${LIB_SUFFIX}")
endif()
set(OPENCV_3P_LIB_INSTALL_PATH "${OpenCV_INSTALL_BINARIES_PREFIX}staticlib${LIB_SUFFIX}")
set(OPENCV_SAMPLES_SRC_INSTALL_PATH samples/native)
else()
set(OPENCV_LIB_INSTALL_PATH lib${LIB_SUFFIX})
set(OPENCV_3P_LIB_INSTALL_PATH share/OpenCV/3rdparty/${OPENCV_LIB_INSTALL_PATH})
set(OPENCV_SAMPLES_SRC_INSTALL_PATH share/OpenCV/samples)
endif()
set(OPENCV_INCLUDE_INSTALL_PATH "include")
@@ -558,6 +564,19 @@ include(cmake/OpenCVGenConfig.cmake)
# Generate Info.plist for the IOS framework
include(cmake/OpenCVGenInfoPlist.cmake)
# Generate environment setup file
if(INSTALL_TESTS AND OPENCV_TEST_DATA_PATH AND UNIX AND NOT ANDROID)
configure_file("${CMAKE_CURRENT_SOURCE_DIR}/cmake/templates/opencv_testing.sh.in"
"${CMAKE_BINARY_DIR}/unix-install/opencv_testing.sh" @ONLY)
install(FILES "${CMAKE_BINARY_DIR}/unix-install/opencv_testing.sh"
DESTINATION /etc/profile.d/ COMPONENT tests)
configure_file("${CMAKE_CURRENT_SOURCE_DIR}/cmake/templates/opencv_run_all_tests.sh.in"
"${CMAKE_BINARY_DIR}/unix-install/opencv_run_all_tests.sh" @ONLY)
install(FILES "${CMAKE_BINARY_DIR}/unix-install/opencv_run_all_tests.sh"
PERMISSIONS OWNER_READ OWNER_WRITE GROUP_READ WORLD_READ OWNER_EXECUTE GROUP_EXECUTE WORLD_EXECUTE
DESTINATION ${OPENCV_TEST_INSTALL_PATH} COMPONENT tests)
endif()
# ----------------------------------------------------------------------------
# Summary:
# ----------------------------------------------------------------------------
@@ -975,3 +994,9 @@ ocv_finalize_status()
if("${CMAKE_CURRENT_SOURCE_DIR}" STREQUAL "${CMAKE_CURRENT_BINARY_DIR}")
message(WARNING "The source directory is the same as binary directory. \"make clean\" may damage the source tree")
endif()
# ----------------------------------------------------------------------------
# CPack stuff
# ----------------------------------------------------------------------------
include(cmake/OpenCVPackaging.cmake)
+33
Ver Arquivo
@@ -0,0 +1,33 @@
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
(3-clause BSD License)
Redistribution and use in source and binary forms, with or without modification,
are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright notice,
this list of conditions and the following disclaimer.
* Redistributions 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.
* Neither the names of the copyright holders nor the names of the contributors
may 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 copyright holders 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.
+6 -6
Ver Arquivo
@@ -71,14 +71,14 @@ set_target_properties(opencv_performance PROPERTIES
if(INSTALL_CREATE_DISTRIB)
if(BUILD_SHARED_LIBS)
install(TARGETS opencv_haartraining RUNTIME DESTINATION ${OPENCV_BIN_INSTALL_PATH} CONFIGURATIONS Release COMPONENT main)
install(TARGETS opencv_createsamples RUNTIME DESTINATION ${OPENCV_BIN_INSTALL_PATH} CONFIGURATIONS Release COMPONENT main)
install(TARGETS opencv_performance RUNTIME DESTINATION ${OPENCV_BIN_INSTALL_PATH} CONFIGURATIONS Release COMPONENT main)
install(TARGETS opencv_haartraining RUNTIME DESTINATION ${OPENCV_BIN_INSTALL_PATH} CONFIGURATIONS Release COMPONENT dev)
install(TARGETS opencv_createsamples RUNTIME DESTINATION ${OPENCV_BIN_INSTALL_PATH} CONFIGURATIONS Release COMPONENT dev)
install(TARGETS opencv_performance RUNTIME DESTINATION ${OPENCV_BIN_INSTALL_PATH} CONFIGURATIONS Release COMPONENT dev)
endif()
else()
install(TARGETS opencv_haartraining RUNTIME DESTINATION ${OPENCV_BIN_INSTALL_PATH} COMPONENT main)
install(TARGETS opencv_createsamples RUNTIME DESTINATION ${OPENCV_BIN_INSTALL_PATH} COMPONENT main)
install(TARGETS opencv_performance RUNTIME DESTINATION ${OPENCV_BIN_INSTALL_PATH} COMPONENT main)
install(TARGETS opencv_haartraining RUNTIME DESTINATION ${OPENCV_BIN_INSTALL_PATH} COMPONENT dev)
install(TARGETS opencv_createsamples RUNTIME DESTINATION ${OPENCV_BIN_INSTALL_PATH} COMPONENT dev)
install(TARGETS opencv_performance RUNTIME DESTINATION ${OPENCV_BIN_INSTALL_PATH} COMPONENT dev)
endif()
if(ENABLE_SOLUTION_FOLDERS)
+2 -2
Ver Arquivo
@@ -35,8 +35,8 @@ endif()
if(INSTALL_CREATE_DISTRIB)
if(BUILD_SHARED_LIBS)
install(TARGETS ${the_target} RUNTIME DESTINATION ${OPENCV_BIN_INSTALL_PATH} CONFIGURATIONS Release COMPONENT main)
install(TARGETS ${the_target} RUNTIME DESTINATION ${OPENCV_BIN_INSTALL_PATH} CONFIGURATIONS Release COMPONENT dev)
endif()
else()
install(TARGETS ${the_target} RUNTIME DESTINATION ${OPENCV_BIN_INSTALL_PATH} COMPONENT main)
install(TARGETS ${the_target} RUNTIME DESTINATION ${OPENCV_BIN_INSTALL_PATH} COMPONENT dev)
endif()
+5 -5
Ver Arquivo
@@ -344,20 +344,20 @@ macro(add_android_project target path)
add_custom_command(TARGET ${target} POST_BUILD COMMAND ${CMAKE_COMMAND} -E copy "${android_proj_bin_dir}/bin/${target}-debug.apk" "${OpenCV_BINARY_DIR}/bin/${target}.apk")
if(INSTALL_ANDROID_EXAMPLES AND "${target}" MATCHES "^example-")
#apk
install(FILES "${OpenCV_BINARY_DIR}/bin/${target}.apk" DESTINATION "samples" COMPONENT main)
install(FILES "${OpenCV_BINARY_DIR}/bin/${target}.apk" DESTINATION "samples" COMPONENT samples)
get_filename_component(sample_dir "${path}" NAME)
#java part
list(REMOVE_ITEM android_proj_files ${ANDROID_MANIFEST_FILE})
foreach(f ${android_proj_files} ${ANDROID_MANIFEST_FILE})
get_filename_component(install_subdir "${f}" PATH)
install(FILES "${android_proj_bin_dir}/${f}" DESTINATION "samples/${sample_dir}/${install_subdir}" COMPONENT main)
install(FILES "${android_proj_bin_dir}/${f}" DESTINATION "samples/${sample_dir}/${install_subdir}" COMPONENT samples)
endforeach()
#jni part + eclipse files
file(GLOB_RECURSE jni_files RELATIVE "${path}" "${path}/jni/*" "${path}/.cproject")
ocv_list_filterout(jni_files "\\\\.svn")
foreach(f ${jni_files} ".classpath" ".project" ".settings/org.eclipse.jdt.core.prefs")
get_filename_component(install_subdir "${f}" PATH)
install(FILES "${path}/${f}" DESTINATION "samples/${sample_dir}/${install_subdir}" COMPONENT main)
install(FILES "${path}/${f}" DESTINATION "samples/${sample_dir}/${install_subdir}" COMPONENT samples)
endforeach()
#update proj
if(android_proj_lib_deps_commands)
@@ -365,9 +365,9 @@ macro(add_android_project target path)
endif()
install(CODE "EXECUTE_PROCESS(COMMAND ${ANDROID_EXECUTABLE} --silent update project --path . --target \"${android_proj_sdk_target}\" --name \"${target}\" ${inst_lib_opt}
WORKING_DIRECTORY \"\$ENV{DESTDIR}\${CMAKE_INSTALL_PREFIX}/samples/${sample_dir}\"
)" COMPONENT main)
)" COMPONENT dev)
#empty 'gen'
install(CODE "MAKE_DIRECTORY(\"\$ENV{DESTDIR}\${CMAKE_INSTALL_PREFIX}/samples/${sample_dir}/gen\")" COMPONENT main)
install(CODE "MAKE_DIRECTORY(\"\$ENV{DESTDIR}\${CMAKE_INSTALL_PREFIX}/samples/${sample_dir}/gen\")" COMPONENT samples)
endif()
endif()
endmacro()
+1 -1
Ver Arquivo
@@ -116,5 +116,5 @@ if(ANDROID)
set(OPENCV_3RDPARTY_LIBS_DIR_CONFIGCMAKE "\$(OPENCV_THIS_DIR)/../3rdparty/libs/\$(OPENCV_TARGET_ARCH_ABI)")
configure_file("${OpenCV_SOURCE_DIR}/cmake/templates/OpenCV.mk.in" "${CMAKE_BINARY_DIR}/unix-install/OpenCV.mk" IMMEDIATE @ONLY)
install(FILES ${CMAKE_BINARY_DIR}/unix-install/OpenCV.mk DESTINATION ${OPENCV_CONFIG_INSTALL_PATH})
install(FILES ${CMAKE_BINARY_DIR}/unix-install/OpenCV.mk DESTINATION ${OPENCV_CONFIG_INSTALL_PATH} COMPONENT dev)
endif(ANDROID)
+13 -13
Ver Arquivo
@@ -109,18 +109,18 @@ if(UNIX) # ANDROID configuration is created here also
# <prefix>/(share|lib)/<name>*/ (U)
# <prefix>/(share|lib)/<name>*/(cmake|CMake)/ (U)
if(INSTALL_TO_MANGLED_PATHS)
install(FILES ${CMAKE_BINARY_DIR}/unix-install/OpenCVConfig.cmake DESTINATION ${OPENCV_CONFIG_INSTALL_PATH}-${OPENCV_VERSION}/)
install(FILES ${CMAKE_BINARY_DIR}/unix-install/OpenCVConfig-version.cmake DESTINATION ${OPENCV_CONFIG_INSTALL_PATH}-${OPENCV_VERSION}/)
install(EXPORT OpenCVModules DESTINATION ${OPENCV_CONFIG_INSTALL_PATH}-${OPENCV_VERSION}/ FILE OpenCVModules${modules_file_suffix}.cmake)
install(FILES ${CMAKE_BINARY_DIR}/unix-install/OpenCVConfig.cmake DESTINATION ${OPENCV_CONFIG_INSTALL_PATH}-${OPENCV_VERSION}/ COMPONENT dev)
install(FILES ${CMAKE_BINARY_DIR}/unix-install/OpenCVConfig-version.cmake DESTINATION ${OPENCV_CONFIG_INSTALL_PATH}-${OPENCV_VERSION}/ COMPONENT dev)
install(EXPORT OpenCVModules DESTINATION ${OPENCV_CONFIG_INSTALL_PATH}-${OPENCV_VERSION}/ FILE OpenCVModules${modules_file_suffix}.cmake COMPONENT dev)
else()
install(FILES "${CMAKE_BINARY_DIR}/unix-install/OpenCVConfig.cmake" DESTINATION ${OPENCV_CONFIG_INSTALL_PATH}/)
install(FILES ${CMAKE_BINARY_DIR}/unix-install/OpenCVConfig-version.cmake DESTINATION ${OPENCV_CONFIG_INSTALL_PATH}/)
install(EXPORT OpenCVModules DESTINATION ${OPENCV_CONFIG_INSTALL_PATH}/ FILE OpenCVModules${modules_file_suffix}.cmake)
install(FILES "${CMAKE_BINARY_DIR}/unix-install/OpenCVConfig.cmake" DESTINATION ${OPENCV_CONFIG_INSTALL_PATH}/ COMPONENT dev)
install(FILES ${CMAKE_BINARY_DIR}/unix-install/OpenCVConfig-version.cmake DESTINATION ${OPENCV_CONFIG_INSTALL_PATH}/ COMPONENT dev)
install(EXPORT OpenCVModules DESTINATION ${OPENCV_CONFIG_INSTALL_PATH}/ FILE OpenCVModules${modules_file_suffix}.cmake COMPONENT dev)
endif()
endif()
if(ANDROID)
install(FILES "${OpenCV_SOURCE_DIR}/platforms/android/android.toolchain.cmake" DESTINATION ${OPENCV_CONFIG_INSTALL_PATH}/)
install(FILES "${OpenCV_SOURCE_DIR}/platforms/android/android.toolchain.cmake" DESTINATION ${OPENCV_CONFIG_INSTALL_PATH}/ COMPONENT dev)
endif()
# --------------------------------------------------------------------------------------------
@@ -134,12 +134,12 @@ if(WIN32)
configure_file("${OpenCV_SOURCE_DIR}/cmake/templates/OpenCVConfig.cmake.in" "${CMAKE_BINARY_DIR}/win-install/OpenCVConfig.cmake" IMMEDIATE @ONLY)
configure_file("${OpenCV_SOURCE_DIR}/cmake/templates/OpenCVConfig-version.cmake.in" "${CMAKE_BINARY_DIR}/win-install/OpenCVConfig-version.cmake" IMMEDIATE @ONLY)
if(BUILD_SHARED_LIBS)
install(FILES "${CMAKE_BINARY_DIR}/win-install/OpenCVConfig.cmake" DESTINATION "${OpenCV_INSTALL_BINARIES_PREFIX}lib")
install(EXPORT OpenCVModules DESTINATION "${OpenCV_INSTALL_BINARIES_PREFIX}lib" FILE OpenCVModules${modules_file_suffix}.cmake)
install(FILES "${CMAKE_BINARY_DIR}/win-install/OpenCVConfig.cmake" DESTINATION "${OpenCV_INSTALL_BINARIES_PREFIX}lib" COMPONENT dev)
install(EXPORT OpenCVModules DESTINATION "${OpenCV_INSTALL_BINARIES_PREFIX}lib" FILE OpenCVModules${modules_file_suffix}.cmake COMPONENT dev)
else()
install(FILES "${CMAKE_BINARY_DIR}/win-install/OpenCVConfig.cmake" DESTINATION "${OpenCV_INSTALL_BINARIES_PREFIX}staticlib")
install(EXPORT OpenCVModules DESTINATION "${OpenCV_INSTALL_BINARIES_PREFIX}staticlib" FILE OpenCVModules${modules_file_suffix}.cmake)
install(FILES "${CMAKE_BINARY_DIR}/win-install/OpenCVConfig.cmake" DESTINATION "${OpenCV_INSTALL_BINARIES_PREFIX}staticlib" COMPONENT dev)
install(EXPORT OpenCVModules DESTINATION "${OpenCV_INSTALL_BINARIES_PREFIX}staticlib" FILE OpenCVModules${modules_file_suffix}.cmake COMPONENT dev)
endif()
install(FILES "${CMAKE_BINARY_DIR}/win-install/OpenCVConfig-version.cmake" DESTINATION "${CMAKE_INSTALL_PREFIX}")
install(FILES "${OpenCV_SOURCE_DIR}/cmake/OpenCVConfig.cmake" DESTINATION "${CMAKE_INSTALL_PREFIX}/")
install(FILES "${CMAKE_BINARY_DIR}/win-install/OpenCVConfig-version.cmake" DESTINATION "${CMAKE_INSTALL_PREFIX}" COMPONENT dev)
install(FILES "${OpenCV_SOURCE_DIR}/cmake/OpenCVConfig.cmake" DESTINATION "${CMAKE_INSTALL_PREFIX}/" COMPONENT dev)
endif()
+1 -1
Ver Arquivo
@@ -23,4 +23,4 @@ set(OPENCV_MODULE_DEFINITIONS_CONFIGMAKE "${OPENCV_MODULE_DEFINITIONS_CONFIGMAKE
#endforeach()
configure_file("${OpenCV_SOURCE_DIR}/cmake/templates/opencv_modules.hpp.in" "${OPENCV_CONFIG_FILE_INCLUDE_DIR}/opencv2/opencv_modules.hpp")
install(FILES "${OPENCV_CONFIG_FILE_INCLUDE_DIR}/opencv2/opencv_modules.hpp" DESTINATION ${OPENCV_INCLUDE_INSTALL_PATH}/opencv2 COMPONENT main)
install(FILES "${OPENCV_CONFIG_FILE_INCLUDE_DIR}/opencv2/opencv_modules.hpp" DESTINATION ${OPENCV_INCLUDE_INSTALL_PATH}/opencv2 COMPONENT dev)
+1 -1
Ver Arquivo
@@ -81,5 +81,5 @@ configure_file("${OpenCV_SOURCE_DIR}/cmake/templates/opencv-XXX.pc.in"
@ONLY IMMEDIATE)
if(UNIX AND NOT ANDROID)
install(FILES ${CMAKE_BINARY_DIR}/unix-install/${OPENCV_PC_FILE_NAME} DESTINATION ${OPENCV_LIB_INSTALL_PATH}/pkgconfig)
install(FILES ${CMAKE_BINARY_DIR}/unix-install/${OPENCV_PC_FILE_NAME} DESTINATION ${OPENCV_LIB_INSTALL_PATH}/pkgconfig COMPONENT dev)
endif()
+14 -7
Ver Arquivo
@@ -577,9 +577,9 @@ macro(ocv_create_module)
endif()
ocv_install_target(${the_module} EXPORT OpenCVModules
RUNTIME DESTINATION ${OPENCV_BIN_INSTALL_PATH} COMPONENT main
LIBRARY DESTINATION ${OPENCV_LIB_INSTALL_PATH} COMPONENT main
ARCHIVE DESTINATION ${OPENCV_LIB_INSTALL_PATH} COMPONENT main
RUNTIME DESTINATION ${OPENCV_BIN_INSTALL_PATH} COMPONENT libs
LIBRARY DESTINATION ${OPENCV_LIB_INSTALL_PATH} COMPONENT libs
ARCHIVE DESTINATION ${OPENCV_LIB_INSTALL_PATH} COMPONENT dev
)
# only "public" headers need to be installed
@@ -587,7 +587,7 @@ macro(ocv_create_module)
foreach(hdr ${OPENCV_MODULE_${the_module}_HEADERS})
string(REGEX REPLACE "^.*opencv2/" "opencv2/" hdr2 "${hdr}")
if(hdr2 MATCHES "^(opencv2/.*)/[^/]+.h(..)?$")
install(FILES ${hdr} DESTINATION "${OPENCV_INCLUDE_INSTALL_PATH}/${CMAKE_MATCH_1}" COMPONENT main)
install(FILES ${hdr} DESTINATION "${OPENCV_INCLUDE_INSTALL_PATH}/${CMAKE_MATCH_1}" COMPONENT dev)
endif()
endforeach()
endif()
@@ -711,6 +711,9 @@ function(ocv_add_perf_tests)
else(OCV_DEPENDENCIES_FOUND)
# TODO: warn about unsatisfied dependencies
endif(OCV_DEPENDENCIES_FOUND)
if(INSTALL_TESTS)
install(TARGETS ${the_target} RUNTIME DESTINATION ${OPENCV_TEST_INSTALL_PATH} COMPONENT tests)
endif()
endif()
endfunction()
@@ -764,6 +767,10 @@ function(ocv_add_accuracy_tests)
else(OCV_DEPENDENCIES_FOUND)
# TODO: warn about unsatisfied dependencies
endif(OCV_DEPENDENCIES_FOUND)
if(INSTALL_TESTS)
install(TARGETS ${the_target} RUNTIME DESTINATION ${OPENCV_TEST_INSTALL_PATH} COMPONENT tests)
endif()
endif()
endfunction()
@@ -795,7 +802,7 @@ function(ocv_add_samples)
endif()
if(WIN32)
install(TARGETS ${the_target} RUNTIME DESTINATION "samples/${module_id}" COMPONENT main)
install(TARGETS ${the_target} RUNTIME DESTINATION "samples/${module_id}" COMPONENT samples)
endif()
endforeach()
endif()
@@ -804,8 +811,8 @@ function(ocv_add_samples)
if(INSTALL_C_EXAMPLES AND NOT WIN32 AND EXISTS "${samples_path}")
file(GLOB sample_files "${samples_path}/*")
install(FILES ${sample_files}
DESTINATION share/OpenCV/samples/${module_id}
PERMISSIONS OWNER_READ GROUP_READ WORLD_READ)
DESTINATION ${OPENCV_SAMPLES_SRC_INSTALL_PATH}/${module_id}
PERMISSIONS OWNER_READ GROUP_READ WORLD_READ COMPONENT samples)
endif()
endfunction()
+110
Ver Arquivo
@@ -0,0 +1,110 @@
if(EXISTS "${CMAKE_ROOT}/Modules/CPack.cmake")
set(CPACK_set_DESTDIR "on")
if(NOT OPENCV_CUSTOM_PACKAGE_INFO)
set(CPACK_PACKAGE_DESCRIPTION_SUMMARY "Open Computer Vision Library")
set(CPACK_PACKAGE_DESCRIPTION
"OpenCV (Open Source Computer Vision Library) is an open source computer vision
and machine learning software library. OpenCV was built to provide a common
infrastructure for computer vision applications and to accelerate the use of
machine perception in the commercial products. Being a BSD-licensed product,
OpenCV makes it easy for businesses to utilize and modify the code.")
set(CPACK_PACKAGE_VENDOR "OpenCV Foundation")
set(CPACK_RESOURCE_FILE_LICENSE "${CMAKE_CURRENT_SOURCE_DIR}/LICENSE")
set(CPACK_PACKAGE_CONTACT "admin@opencv.org")
set(CPACK_PACKAGE_VERSION_MAJOR "${OPENCV_VERSION_MAJOR}")
set(CPACK_PACKAGE_VERSION_MINOR "${OPENCV_VERSION_MINOR}")
set(CPACK_PACKAGE_VERSION_PATCH "${OPENCV_VERSION_PATCH}")
set(CPACK_PACKAGE_VERSION "${OPENCV_VCSVERSION}")
endif(NOT OPENCV_CUSTOM_PACKAGE_INFO)
#arch
if(X86)
set(CPACK_DEBIAN_ARCHITECTURE "i386")
set(CPACK_RPM_PACKAGE_ARCHITECTURE "i686")
elseif(X86_64)
set(CPACK_DEBIAN_ARCHITECTURE "amd64")
set(CPACK_RPM_PACKAGE_ARCHITECTURE "x86_64")
elseif(ARM)
set(CPACK_DEBIAN_ARCHITECTURE "armhf")
set(CPACK_RPM_PACKAGE_ARCHITECTURE "armhf")
else()
set(CPACK_DEBIAN_ARCHITECTURE ${CMAKE_SYSTEM_PROCESSOR})
set(CPACK_RPM_PACKAGE_ARCHITECTURE ${CMAKE_SYSTEM_PROCESSOR})
endif()
if(CPACK_GENERATOR STREQUAL "DEB")
set(OPENCV_PACKAGE_ARCH_SUFFIX ${CPACK_DEBIAN_ARCHITECTURE})
elseif(CPACK_GENERATOR STREQUAL "RPM")
set(OPENCV_PACKAGE_ARCH_SUFFIX ${CPACK_RPM_PACKAGE_ARCHITECTURE})
else()
set(OPENCV_PACKAGE_ARCH_SUFFIX ${CMAKE_SYSTEM_PROCESSOR})
endif()
set(CPACK_PACKAGE_FILE_NAME "${CMAKE_PROJECT_NAME}-${OPENCV_VCSVERSION}-${OPENCV_PACKAGE_ARCH_SUFFIX}")
set(CPACK_SOURCE_PACKAGE_FILE_NAME "${CMAKE_PROJECT_NAME}-${OPENCV_VCSVERSION}-${OPENCV_PACKAGE_ARCH_SUFFIX}")
#rpm options
set(CPACK_RPM_COMPONENT_INSTALL TRUE)
set(CPACK_RPM_PACKAGE_SUMMARY ${CPACK_PACKAGE_DESCRIPTION_SUMMARY})
set(CPACK_RPM_PACKAGE_DESCRIPTION ${CPACK_PACKAGE_DESCRIPTION})
set(CPACK_RPM_PACKAGE_URL "http://opencv.org")
set(CPACK_RPM_PACKAGE_LICENSE "BSD")
#deb options
set(CPACK_DEB_COMPONENT_INSTALL TRUE)
set(CPACK_DEBIAN_PACKAGE_PRIORITY "optional")
set(CPACK_DEBIAN_PACKAGE_SECTION "libs")
set(CPACK_DEBIAN_PACKAGE_HOMEPAGE "http://opencv.org")
#depencencies
set(CPACK_DEBIAN_PACKAGE_SHLIBDEPS TRUE)
set(CPACK_COMPONENT_samples_DEPENDS libs)
set(CPACK_COMPONENT_dev_DEPENDS libs)
set(CPACK_COMPONENT_docs_DEPENDS libs)
set(CPACK_COMPONENT_java_DEPENDS libs)
set(CPACK_COMPONENT_python_DEPENDS libs)
set(CPACK_COMPONENT_tests_DEPENDS libs)
if(HAVE_CUDA)
string(REPLACE "." "-" cuda_version_suffix ${CUDA_VERSION})
set(CPACK_DEB_libs_PACKAGE_DEPENDS "cuda-core-libs-${cuda_version_suffix}, cuda-extra-libs-${cuda_version_suffix}")
set(CPACK_COMPONENT_dev_DEPENDS libs)
set(CPACK_DEB_dev_PACKAGE_DEPENDS "cuda-headers-${cuda_version_suffix}")
endif()
if(NOT OPENCV_CUSTOM_PACKAGE_INFO)
set(CPACK_COMPONENT_libs_DISPLAY_NAME "lib${CMAKE_PROJECT_NAME}")
set(CPACK_COMPONENT_libs_DESCRIPTION "Open Computer Vision Library")
set(CPACK_COMPONENT_python_DISPLAY_NAME "lib${CMAKE_PROJECT_NAME}-python")
set(CPACK_COMPONENT_python_DESCRIPTION "Python bindings for Open Source Computer Vision Library")
set(CPACK_COMPONENT_java_DISPLAY_NAME "lib${CMAKE_PROJECT_NAME}-java")
set(CPACK_COMPONENT_java_DESCRIPTION "Java bindings for Open Source Computer Vision Library")
set(CPACK_COMPONENT_dev_DISPLAY_NAME "lib${CMAKE_PROJECT_NAME}-dev")
set(CPACK_COMPONENT_dev_DESCRIPTION "Development files for Open Source Computer Vision Library")
set(CPACK_COMPONENT_docs_DISPLAY_NAME "lib${CMAKE_PROJECT_NAME}-docs")
set(CPACK_COMPONENT_docs_DESCRIPTION "Documentation for Open Source Computer Vision Library")
set(CPACK_COMPONENT_samples_DISPLAY_NAME "lib${CMAKE_PROJECT_NAME}-samples")
set(CPACK_COMPONENT_samples_DESCRIPTION "Samples for Open Source Computer Vision Library")
set(CPACK_COMPONENT_tests_DISPLAY_NAME "lib${CMAKE_PROJECT_NAME}-tests")
set(CPACK_COMPONENT_tests_DESCRIPTION "Accuracy and performance tests for Open Source Computer Vision Library")
endif(NOT OPENCV_CUSTOM_PACKAGE_INFO)
if(NOT OPENCV_CUSTOM_PACKAGE_LAYOUT)
set(CPACK_libs_COMPONENT_INSTALL TRUE)
set(CPACK_dev_COMPONENT_INSTALL TRUE)
set(CPACK_docs_COMPONENT_INSTALL TRUE)
set(CPACK_python_COMPONENT_INSTALL TRUE)
set(CPACK_java_COMPONENT_INSTALL TRUE)
set(CPACK_samples_COMPONENT_INSTALL TRUE)
endif(NOT OPENCV_CUSTOM_PACKAGE_LAYOUT)
include(CPack)
ENDif(EXISTS "${CMAKE_ROOT}/Modules/CPack.cmake")
+24
Ver Arquivo
@@ -0,0 +1,24 @@
#!/bin/sh
OPENCV_TEST_PATH=@OPENCV_TEST_INSTALL_PATH@
export OPENCV_TEST_DATA_PATH=@CMAKE_INSTALL_PREFIX@/share/OpenCV/testdata
SUMMARY_STATUS=0
for t in "$OPENCV_TEST_PATH/"opencv_test_* "$OPENCV_TEST_PATH/"opencv_perf_*;
do
"$t" --perf_min_samples=1 --perf_force_samples=1 --gtest_output=xml:$t-`date --rfc-3339=date`.xml
TEST_STATUS=$?
if [ $TEST_STATUS -ne 0 ]; then
SUMMARY_STATUS=$TEST_STATUS
fi
done
rm -f /tmp/__opencv_temp.*
if [ $SUMMARY_STATUS -eq 0 ]; then
echo "All OpenCV tests finished successfully"
else
echo "OpenCV tests finished with status $SUMMARY_STATUS"
fi
return $SUMMARY_STATUS
+2
Ver Arquivo
@@ -0,0 +1,2 @@
# Environment setup for OpenCV testing
export OPENCV_TEST_DATA_PATH=@CMAKE_INSTALL_PREFIX@/share/OpenCV/testdata
+12 -4
Ver Arquivo
@@ -2,9 +2,17 @@ file(GLOB HAAR_CASCADES haarcascades/*.xml)
file(GLOB LBP_CASCADES lbpcascades/*.xml)
if(ANDROID)
install(FILES ${HAAR_CASCADES} DESTINATION sdk/etc/haarcascades COMPONENT main)
install(FILES ${LBP_CASCADES} DESTINATION sdk/etc/lbpcascades COMPONENT main)
install(FILES ${HAAR_CASCADES} DESTINATION sdk/etc/haarcascades COMPONENT libs)
install(FILES ${LBP_CASCADES} DESTINATION sdk/etc/lbpcascades COMPONENT libs)
elseif(NOT WIN32)
install(FILES ${HAAR_CASCADES} DESTINATION share/OpenCV/haarcascades COMPONENT main)
install(FILES ${LBP_CASCADES} DESTINATION share/OpenCV/lbpcascades COMPONENT main)
install(FILES ${HAAR_CASCADES} DESTINATION share/OpenCV/haarcascades COMPONENT libs)
install(FILES ${LBP_CASCADES} DESTINATION share/OpenCV/lbpcascades COMPONENT libs)
endif()
if(INSTALL_TESTS AND OPENCV_TEST_DATA_PATH)
if(ANDROID)
install(DIRECTORY ${OPENCV_TEST_DATA_PATH} DESTINATION sdk/etc/testdata COMPONENT tests)
elseif(NOT WIN32)
install(DIRECTORY ${OPENCV_TEST_DATA_PATH} DESTINATION share/OpenCV/testdata COMPONENT tests)
endif()
endif()
+2 -2
Ver Arquivo
@@ -143,11 +143,11 @@ if(BUILD_DOCS AND HAVE_SPHINX)
endif()
foreach(f ${DOC_LIST})
install(FILES "${f}" DESTINATION "${OPENCV_DOC_INSTALL_PATH}" COMPONENT main)
install(FILES "${f}" DESTINATION "${OPENCV_DOC_INSTALL_PATH}" COMPONENT docs)
endforeach()
foreach(f ${OPTIONAL_DOC_LIST})
install(FILES "${f}" DESTINATION "${OPENCV_DOC_INSTALL_PATH}" OPTIONAL)
install(FILES "${f}" DESTINATION "${OPENCV_DOC_INSTALL_PATH}" OPTIONAL COMPONENT docs)
endforeach()
endif()
+2 -2
Ver Arquivo
@@ -1,7 +1,7 @@
file(GLOB old_hdrs "opencv/*.h*")
install(FILES ${old_hdrs}
DESTINATION ${OPENCV_INCLUDE_INSTALL_PATH}/opencv
COMPONENT main)
COMPONENT dev)
install(FILES "opencv2/opencv.hpp"
DESTINATION ${OPENCV_INCLUDE_INSTALL_PATH}/opencv2
COMPONENT main)
COMPONENT dev)
+1 -1
Ver Arquivo
@@ -40,6 +40,6 @@ else()
get_filename_component(wrapper_name "${wrapper}" NAME)
install(FILES "${LIBRARY_OUTPUT_PATH}/${wrapper_name}"
DESTINATION ${OPENCV_LIB_INSTALL_PATH}
COMPONENT main)
COMPONENT libs)
endforeach()
endif()
@@ -63,4 +63,4 @@ if (NOT (CMAKE_BUILD_TYPE MATCHES "debug"))
endif()
install(TARGETS ${the_target} LIBRARY DESTINATION ${OPENCV_LIB_INSTALL_PATH} COMPONENT main)
install(TARGETS ${the_target} LIBRARY DESTINATION ${OPENCV_LIB_INSTALL_PATH} COMPONENT libs)
+1 -1
Ver Arquivo
@@ -50,7 +50,7 @@
#define CV_VERSION_EPOCH 2
#define CV_VERSION_MAJOR 4
#define CV_VERSION_MINOR 8
#define CV_VERSION_REVISION 0
#define CV_VERSION_REVISION 1
#define CVAUX_STR_EXP(__A) #__A
#define CVAUX_STR(__A) CVAUX_STR_EXP(__A)
+1 -1
Ver Arquivo
@@ -82,7 +82,7 @@ ocv_create_module(${cuda_link_libs})
if(HAVE_CUDA)
install(FILES src/nvidia/NPP_staging/NPP_staging.hpp src/nvidia/core/NCV.hpp
DESTINATION ${OPENCV_INCLUDE_INSTALL_PATH}/opencv2/${name}
COMPONENT main)
COMPONENT dev)
endif()
ocv_add_precompiled_headers(${the_module})
+138
Ver Arquivo
@@ -0,0 +1,138 @@
/*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) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage 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:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#if !defined CUDA_DISABLER
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/emulation.hpp"
namespace cv { namespace gpu { namespace device
{
namespace hough
{
__device__ static int g_counter;
template <int PIXELS_PER_THREAD>
__global__ void buildPointList(const PtrStepSzb src, unsigned int* list)
{
__shared__ unsigned int s_queues[4][32 * PIXELS_PER_THREAD];
__shared__ int s_qsize[4];
__shared__ int s_globStart[4];
const int x = blockIdx.x * blockDim.x * PIXELS_PER_THREAD + threadIdx.x;
const int y = blockIdx.y * blockDim.y + threadIdx.y;
if (threadIdx.x == 0)
s_qsize[threadIdx.y] = 0;
__syncthreads();
if (y < src.rows)
{
// fill the queue
const uchar* srcRow = src.ptr(y);
for (int i = 0, xx = x; i < PIXELS_PER_THREAD && xx < src.cols; ++i, xx += blockDim.x)
{
if (srcRow[xx])
{
const unsigned int val = (y << 16) | xx;
const int qidx = Emulation::smem::atomicAdd(&s_qsize[threadIdx.y], 1);
s_queues[threadIdx.y][qidx] = val;
}
}
}
__syncthreads();
// let one thread reserve the space required in the global list
if (threadIdx.x == 0 && threadIdx.y == 0)
{
// find how many items are stored in each list
int totalSize = 0;
for (int i = 0; i < blockDim.y; ++i)
{
s_globStart[i] = totalSize;
totalSize += s_qsize[i];
}
// calculate the offset in the global list
const int globalOffset = atomicAdd(&g_counter, totalSize);
for (int i = 0; i < blockDim.y; ++i)
s_globStart[i] += globalOffset;
}
__syncthreads();
// copy local queues to global queue
const int qsize = s_qsize[threadIdx.y];
int gidx = s_globStart[threadIdx.y] + threadIdx.x;
for(int i = threadIdx.x; i < qsize; i += blockDim.x, gidx += blockDim.x)
list[gidx] = s_queues[threadIdx.y][i];
}
int buildPointList_gpu(PtrStepSzb src, unsigned int* list)
{
const int PIXELS_PER_THREAD = 16;
void* counterPtr;
cudaSafeCall( cudaGetSymbolAddress(&counterPtr, g_counter) );
cudaSafeCall( cudaMemset(counterPtr, 0, sizeof(int)) );
const dim3 block(32, 4);
const dim3 grid(divUp(src.cols, block.x * PIXELS_PER_THREAD), divUp(src.rows, block.y));
cudaSafeCall( cudaFuncSetCacheConfig(buildPointList<PIXELS_PER_THREAD>, cudaFuncCachePreferShared) );
buildPointList<PIXELS_PER_THREAD><<<grid, block>>>(src, list);
cudaSafeCall( cudaGetLastError() );
cudaSafeCall( cudaDeviceSynchronize() );
int totalCount;
cudaSafeCall( cudaMemcpy(&totalCount, counterPtr, sizeof(int), cudaMemcpyDeviceToHost) );
return totalCount;
}
}
}}}
#endif /* CUDA_DISABLER */
@@ -40,654 +40,23 @@
//
//M*/
#define CUDA_DISABLER
#if !defined CUDA_DISABLER
#include <thrust/device_ptr.h>
#include <thrust/sort.h>
#include <thrust/transform.h>
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/emulation.hpp"
#include "opencv2/gpu/device/vec_math.hpp"
#include "opencv2/gpu/device/functional.hpp"
#include "opencv2/gpu/device/limits.hpp"
#include "opencv2/gpu/device/dynamic_smem.hpp"
namespace cv { namespace gpu { namespace device
{
namespace hough
{
__device__ int g_counter;
////////////////////////////////////////////////////////////////////////
// buildPointList
template <int PIXELS_PER_THREAD>
__global__ void buildPointList(const PtrStepSzb src, unsigned int* list)
{
__shared__ unsigned int s_queues[4][32 * PIXELS_PER_THREAD];
__shared__ int s_qsize[4];
__shared__ int s_globStart[4];
const int x = blockIdx.x * blockDim.x * PIXELS_PER_THREAD + threadIdx.x;
const int y = blockIdx.y * blockDim.y + threadIdx.y;
if (threadIdx.x == 0)
s_qsize[threadIdx.y] = 0;
__syncthreads();
if (y < src.rows)
{
// fill the queue
const uchar* srcRow = src.ptr(y);
for (int i = 0, xx = x; i < PIXELS_PER_THREAD && xx < src.cols; ++i, xx += blockDim.x)
{
if (srcRow[xx])
{
const unsigned int val = (y << 16) | xx;
const int qidx = Emulation::smem::atomicAdd(&s_qsize[threadIdx.y], 1);
s_queues[threadIdx.y][qidx] = val;
}
}
}
__syncthreads();
// let one thread reserve the space required in the global list
if (threadIdx.x == 0 && threadIdx.y == 0)
{
// find how many items are stored in each list
int totalSize = 0;
for (int i = 0; i < blockDim.y; ++i)
{
s_globStart[i] = totalSize;
totalSize += s_qsize[i];
}
// calculate the offset in the global list
const int globalOffset = atomicAdd(&g_counter, totalSize);
for (int i = 0; i < blockDim.y; ++i)
s_globStart[i] += globalOffset;
}
__syncthreads();
// copy local queues to global queue
const int qsize = s_qsize[threadIdx.y];
int gidx = s_globStart[threadIdx.y] + threadIdx.x;
for(int i = threadIdx.x; i < qsize; i += blockDim.x, gidx += blockDim.x)
list[gidx] = s_queues[threadIdx.y][i];
}
int buildPointList_gpu(PtrStepSzb src, unsigned int* list)
{
const int PIXELS_PER_THREAD = 16;
void* counterPtr;
cudaSafeCall( cudaGetSymbolAddress(&counterPtr, g_counter) );
cudaSafeCall( cudaMemset(counterPtr, 0, sizeof(int)) );
const dim3 block(32, 4);
const dim3 grid(divUp(src.cols, block.x * PIXELS_PER_THREAD), divUp(src.rows, block.y));
cudaSafeCall( cudaFuncSetCacheConfig(buildPointList<PIXELS_PER_THREAD>, cudaFuncCachePreferShared) );
buildPointList<PIXELS_PER_THREAD><<<grid, block>>>(src, list);
cudaSafeCall( cudaGetLastError() );
cudaSafeCall( cudaDeviceSynchronize() );
int totalCount;
cudaSafeCall( cudaMemcpy(&totalCount, counterPtr, sizeof(int), cudaMemcpyDeviceToHost) );
return totalCount;
}
////////////////////////////////////////////////////////////////////////
// linesAccum
__global__ void linesAccumGlobal(const unsigned int* list, const int count, PtrStepi accum, const float irho, const float theta, const int numrho)
{
const int n = blockIdx.x;
const float ang = n * theta;
float sinVal;
float cosVal;
sincosf(ang, &sinVal, &cosVal);
sinVal *= irho;
cosVal *= irho;
const int shift = (numrho - 1) / 2;
int* accumRow = accum.ptr(n + 1);
for (int i = threadIdx.x; i < count; i += blockDim.x)
{
const unsigned int val = list[i];
const int x = (val & 0xFFFF);
const int y = (val >> 16) & 0xFFFF;
int r = __float2int_rn(x * cosVal + y * sinVal);
r += shift;
::atomicAdd(accumRow + r + 1, 1);
}
}
__global__ void linesAccumShared(const unsigned int* list, const int count, PtrStepi accum, const float irho, const float theta, const int numrho)
{
int* smem = DynamicSharedMem<int>();
for (int i = threadIdx.x; i < numrho + 1; i += blockDim.x)
smem[i] = 0;
__syncthreads();
const int n = blockIdx.x;
const float ang = n * theta;
float sinVal;
float cosVal;
sincosf(ang, &sinVal, &cosVal);
sinVal *= irho;
cosVal *= irho;
const int shift = (numrho - 1) / 2;
for (int i = threadIdx.x; i < count; i += blockDim.x)
{
const unsigned int val = list[i];
const int x = (val & 0xFFFF);
const int y = (val >> 16) & 0xFFFF;
int r = __float2int_rn(x * cosVal + y * sinVal);
r += shift;
Emulation::smem::atomicAdd(&smem[r + 1], 1);
}
__syncthreads();
int* accumRow = accum.ptr(n + 1);
for (int i = threadIdx.x; i < numrho + 1; i += blockDim.x)
accumRow[i] = smem[i];
}
void linesAccum_gpu(const unsigned int* list, int count, PtrStepSzi accum, float rho, float theta, size_t sharedMemPerBlock, bool has20)
{
const dim3 block(has20 ? 1024 : 512);
const dim3 grid(accum.rows - 2);
size_t smemSize = (accum.cols - 1) * sizeof(int);
if (smemSize < sharedMemPerBlock - 1000)
linesAccumShared<<<grid, block, smemSize>>>(list, count, accum, 1.0f / rho, theta, accum.cols - 2);
else
linesAccumGlobal<<<grid, block>>>(list, count, accum, 1.0f / rho, theta, accum.cols - 2);
cudaSafeCall( cudaGetLastError() );
cudaSafeCall( cudaDeviceSynchronize() );
}
////////////////////////////////////////////////////////////////////////
// linesGetResult
__global__ void linesGetResult(const PtrStepSzi accum, float2* out, int* votes, const int maxSize, const float rho, const float theta, const int threshold, const int numrho)
{
const int r = blockIdx.x * blockDim.x + threadIdx.x;
const int n = blockIdx.y * blockDim.y + threadIdx.y;
if (r >= accum.cols - 2 || n >= accum.rows - 2)
return;
const int curVotes = accum(n + 1, r + 1);
if (curVotes > threshold &&
curVotes > accum(n + 1, r) &&
curVotes >= accum(n + 1, r + 2) &&
curVotes > accum(n, r + 1) &&
curVotes >= accum(n + 2, r + 1))
{
const float radius = (r - (numrho - 1) * 0.5f) * rho;
const float angle = n * theta;
const int ind = ::atomicAdd(&g_counter, 1);
if (ind < maxSize)
{
out[ind] = make_float2(radius, angle);
votes[ind] = curVotes;
}
}
}
int linesGetResult_gpu(PtrStepSzi accum, float2* out, int* votes, int maxSize, float rho, float theta, int threshold, bool doSort)
{
void* counterPtr;
cudaSafeCall( cudaGetSymbolAddress(&counterPtr, g_counter) );
cudaSafeCall( cudaMemset(counterPtr, 0, sizeof(int)) );
const dim3 block(32, 8);
const dim3 grid(divUp(accum.cols - 2, block.x), divUp(accum.rows - 2, block.y));
cudaSafeCall( cudaFuncSetCacheConfig(linesGetResult, cudaFuncCachePreferL1) );
linesGetResult<<<grid, block>>>(accum, out, votes, maxSize, rho, theta, threshold, accum.cols - 2);
cudaSafeCall( cudaGetLastError() );
cudaSafeCall( cudaDeviceSynchronize() );
int totalCount;
cudaSafeCall( cudaMemcpy(&totalCount, counterPtr, sizeof(int), cudaMemcpyDeviceToHost) );
totalCount = ::min(totalCount, maxSize);
if (doSort && totalCount > 0)
{
thrust::device_ptr<float2> outPtr(out);
thrust::device_ptr<int> votesPtr(votes);
thrust::sort_by_key(votesPtr, votesPtr + totalCount, outPtr, thrust::greater<int>());
}
return totalCount;
}
////////////////////////////////////////////////////////////////////////
// houghLinesProbabilistic
texture<uchar, cudaTextureType2D, cudaReadModeElementType> tex_mask(false, cudaFilterModePoint, cudaAddressModeClamp);
__global__ void houghLinesProbabilistic(const PtrStepSzi accum,
int4* out, const int maxSize,
const float rho, const float theta,
const int lineGap, const int lineLength,
const int rows, const int cols)
{
const int r = blockIdx.x * blockDim.x + threadIdx.x;
const int n = blockIdx.y * blockDim.y + threadIdx.y;
if (r >= accum.cols - 2 || n >= accum.rows - 2)
return;
const int curVotes = accum(n + 1, r + 1);
if (curVotes >= lineLength &&
curVotes > accum(n, r) &&
curVotes > accum(n, r + 1) &&
curVotes > accum(n, r + 2) &&
curVotes > accum(n + 1, r) &&
curVotes > accum(n + 1, r + 2) &&
curVotes > accum(n + 2, r) &&
curVotes > accum(n + 2, r + 1) &&
curVotes > accum(n + 2, r + 2))
{
const float radius = (r - (accum.cols - 2 - 1) * 0.5f) * rho;
const float angle = n * theta;
float cosa;
float sina;
sincosf(angle, &sina, &cosa);
float2 p0 = make_float2(cosa * radius, sina * radius);
float2 dir = make_float2(-sina, cosa);
float2 pb[4] = {make_float2(-1, -1), make_float2(-1, -1), make_float2(-1, -1), make_float2(-1, -1)};
float a;
if (dir.x != 0)
{
a = -p0.x / dir.x;
pb[0].x = 0;
pb[0].y = p0.y + a * dir.y;
a = (cols - 1 - p0.x) / dir.x;
pb[1].x = cols - 1;
pb[1].y = p0.y + a * dir.y;
}
if (dir.y != 0)
{
a = -p0.y / dir.y;
pb[2].x = p0.x + a * dir.x;
pb[2].y = 0;
a = (rows - 1 - p0.y) / dir.y;
pb[3].x = p0.x + a * dir.x;
pb[3].y = rows - 1;
}
if (pb[0].x == 0 && (pb[0].y >= 0 && pb[0].y < rows))
{
p0 = pb[0];
if (dir.x < 0)
dir = -dir;
}
else if (pb[1].x == cols - 1 && (pb[0].y >= 0 && pb[0].y < rows))
{
p0 = pb[1];
if (dir.x > 0)
dir = -dir;
}
else if (pb[2].y == 0 && (pb[2].x >= 0 && pb[2].x < cols))
{
p0 = pb[2];
if (dir.y < 0)
dir = -dir;
}
else if (pb[3].y == rows - 1 && (pb[3].x >= 0 && pb[3].x < cols))
{
p0 = pb[3];
if (dir.y > 0)
dir = -dir;
}
float2 d;
if (::fabsf(dir.x) > ::fabsf(dir.y))
{
d.x = dir.x > 0 ? 1 : -1;
d.y = dir.y / ::fabsf(dir.x);
}
else
{
d.x = dir.x / ::fabsf(dir.y);
d.y = dir.y > 0 ? 1 : -1;
}
float2 line_end[2];
int gap;
bool inLine = false;
float2 p1 = p0;
if (p1.x < 0 || p1.x >= cols || p1.y < 0 || p1.y >= rows)
return;
for (;;)
{
if (tex2D(tex_mask, p1.x, p1.y))
{
gap = 0;
if (!inLine)
{
line_end[0] = p1;
line_end[1] = p1;
inLine = true;
}
else
{
line_end[1] = p1;
}
}
else if (inLine)
{
if (++gap > lineGap)
{
bool good_line = ::abs(line_end[1].x - line_end[0].x) >= lineLength ||
::abs(line_end[1].y - line_end[0].y) >= lineLength;
if (good_line)
{
const int ind = ::atomicAdd(&g_counter, 1);
if (ind < maxSize)
out[ind] = make_int4(line_end[0].x, line_end[0].y, line_end[1].x, line_end[1].y);
}
gap = 0;
inLine = false;
}
}
p1 = p1 + d;
if (p1.x < 0 || p1.x >= cols || p1.y < 0 || p1.y >= rows)
{
if (inLine)
{
bool good_line = ::abs(line_end[1].x - line_end[0].x) >= lineLength ||
::abs(line_end[1].y - line_end[0].y) >= lineLength;
if (good_line)
{
const int ind = ::atomicAdd(&g_counter, 1);
if (ind < maxSize)
out[ind] = make_int4(line_end[0].x, line_end[0].y, line_end[1].x, line_end[1].y);
}
}
break;
}
}
}
}
int houghLinesProbabilistic_gpu(PtrStepSzb mask, PtrStepSzi accum, int4* out, int maxSize, float rho, float theta, int lineGap, int lineLength)
{
void* counterPtr;
cudaSafeCall( cudaGetSymbolAddress(&counterPtr, g_counter) );
cudaSafeCall( cudaMemset(counterPtr, 0, sizeof(int)) );
const dim3 block(32, 8);
const dim3 grid(divUp(accum.cols - 2, block.x), divUp(accum.rows - 2, block.y));
bindTexture(&tex_mask, mask);
houghLinesProbabilistic<<<grid, block>>>(accum,
out, maxSize,
rho, theta,
lineGap, lineLength,
mask.rows, mask.cols);
cudaSafeCall( cudaGetLastError() );
cudaSafeCall( cudaDeviceSynchronize() );
int totalCount;
cudaSafeCall( cudaMemcpy(&totalCount, counterPtr, sizeof(int), cudaMemcpyDeviceToHost) );
totalCount = ::min(totalCount, maxSize);
return totalCount;
}
////////////////////////////////////////////////////////////////////////
// circlesAccumCenters
__global__ void circlesAccumCenters(const unsigned int* list, const int count, const PtrStepi dx, const PtrStepi dy,
PtrStepi accum, const int width, const int height, const int minRadius, const int maxRadius, const float idp)
{
const int SHIFT = 10;
const int ONE = 1 << SHIFT;
const int tid = blockIdx.x * blockDim.x + threadIdx.x;
if (tid >= count)
return;
const unsigned int val = list[tid];
const int x = (val & 0xFFFF);
const int y = (val >> 16) & 0xFFFF;
const int vx = dx(y, x);
const int vy = dy(y, x);
if (vx == 0 && vy == 0)
return;
const float mag = ::sqrtf(vx * vx + vy * vy);
const int x0 = __float2int_rn((x * idp) * ONE);
const int y0 = __float2int_rn((y * idp) * ONE);
int sx = __float2int_rn((vx * idp) * ONE / mag);
int sy = __float2int_rn((vy * idp) * ONE / mag);
// Step from minRadius to maxRadius in both directions of the gradient
for (int k1 = 0; k1 < 2; ++k1)
{
int x1 = x0 + minRadius * sx;
int y1 = y0 + minRadius * sy;
for (int r = minRadius; r <= maxRadius; x1 += sx, y1 += sy, ++r)
{
const int x2 = x1 >> SHIFT;
const int y2 = y1 >> SHIFT;
if (x2 < 0 || x2 >= width || y2 < 0 || y2 >= height)
break;
::atomicAdd(accum.ptr(y2 + 1) + x2 + 1, 1);
}
sx = -sx;
sy = -sy;
}
}
void circlesAccumCenters_gpu(const unsigned int* list, int count, PtrStepi dx, PtrStepi dy, PtrStepSzi accum, int minRadius, int maxRadius, float idp)
{
const dim3 block(256);
const dim3 grid(divUp(count, block.x));
cudaSafeCall( cudaFuncSetCacheConfig(circlesAccumCenters, cudaFuncCachePreferL1) );
circlesAccumCenters<<<grid, block>>>(list, count, dx, dy, accum, accum.cols - 2, accum.rows - 2, minRadius, maxRadius, idp);
cudaSafeCall( cudaGetLastError() );
cudaSafeCall( cudaDeviceSynchronize() );
}
////////////////////////////////////////////////////////////////////////
// buildCentersList
__global__ void buildCentersList(const PtrStepSzi accum, unsigned int* centers, const int threshold)
{
const int x = blockIdx.x * blockDim.x + threadIdx.x;
const int y = blockIdx.y * blockDim.y + threadIdx.y;
if (x < accum.cols - 2 && y < accum.rows - 2)
{
const int top = accum(y, x + 1);
const int left = accum(y + 1, x);
const int cur = accum(y + 1, x + 1);
const int right = accum(y + 1, x + 2);
const int bottom = accum(y + 2, x + 1);
if (cur > threshold && cur > top && cur >= bottom && cur > left && cur >= right)
{
const unsigned int val = (y << 16) | x;
const int idx = ::atomicAdd(&g_counter, 1);
centers[idx] = val;
}
}
}
int buildCentersList_gpu(PtrStepSzi accum, unsigned int* centers, int threshold)
{
void* counterPtr;
cudaSafeCall( cudaGetSymbolAddress(&counterPtr, g_counter) );
cudaSafeCall( cudaMemset(counterPtr, 0, sizeof(int)) );
const dim3 block(32, 8);
const dim3 grid(divUp(accum.cols - 2, block.x), divUp(accum.rows - 2, block.y));
cudaSafeCall( cudaFuncSetCacheConfig(buildCentersList, cudaFuncCachePreferL1) );
buildCentersList<<<grid, block>>>(accum, centers, threshold);
cudaSafeCall( cudaGetLastError() );
cudaSafeCall( cudaDeviceSynchronize() );
int totalCount;
cudaSafeCall( cudaMemcpy(&totalCount, counterPtr, sizeof(int), cudaMemcpyDeviceToHost) );
return totalCount;
}
////////////////////////////////////////////////////////////////////////
// circlesAccumRadius
__global__ void circlesAccumRadius(const unsigned int* centers, const unsigned int* list, const int count,
float3* circles, const int maxCircles, const float dp,
const int minRadius, const int maxRadius, const int histSize, const int threshold)
{
int* smem = DynamicSharedMem<int>();
for (int i = threadIdx.x; i < histSize + 2; i += blockDim.x)
smem[i] = 0;
__syncthreads();
unsigned int val = centers[blockIdx.x];
float cx = (val & 0xFFFF);
float cy = (val >> 16) & 0xFFFF;
cx = (cx + 0.5f) * dp;
cy = (cy + 0.5f) * dp;
for (int i = threadIdx.x; i < count; i += blockDim.x)
{
val = list[i];
const int x = (val & 0xFFFF);
const int y = (val >> 16) & 0xFFFF;
const float rad = ::sqrtf((cx - x) * (cx - x) + (cy - y) * (cy - y));
if (rad >= minRadius && rad <= maxRadius)
{
const int r = __float2int_rn(rad - minRadius);
Emulation::smem::atomicAdd(&smem[r + 1], 1);
}
}
__syncthreads();
for (int i = threadIdx.x; i < histSize; i += blockDim.x)
{
const int curVotes = smem[i + 1];
if (curVotes >= threshold && curVotes > smem[i] && curVotes >= smem[i + 2])
{
const int ind = ::atomicAdd(&g_counter, 1);
if (ind < maxCircles)
circles[ind] = make_float3(cx, cy, i + minRadius);
}
}
}
int circlesAccumRadius_gpu(const unsigned int* centers, int centersCount, const unsigned int* list, int count,
float3* circles, int maxCircles, float dp, int minRadius, int maxRadius, int threshold, bool has20)
{
void* counterPtr;
cudaSafeCall( cudaGetSymbolAddress(&counterPtr, g_counter) );
cudaSafeCall( cudaMemset(counterPtr, 0, sizeof(int)) );
const dim3 block(has20 ? 1024 : 512);
const dim3 grid(centersCount);
const int histSize = maxRadius - minRadius + 1;
size_t smemSize = (histSize + 2) * sizeof(int);
circlesAccumRadius<<<grid, block, smemSize>>>(centers, list, count, circles, maxCircles, dp, minRadius, maxRadius, histSize, threshold);
cudaSafeCall( cudaGetLastError() );
cudaSafeCall( cudaDeviceSynchronize() );
int totalCount;
cudaSafeCall( cudaMemcpy(&totalCount, counterPtr, sizeof(int), cudaMemcpyDeviceToHost) );
totalCount = ::min(totalCount, maxCircles);
return totalCount;
}
////////////////////////////////////////////////////////////////////////
// Generalized Hough
__device__ static int g_counter;
template <typename T, int PIXELS_PER_THREAD>
__global__ void buildEdgePointList(const PtrStepSzb edges, const PtrStep<T> dx, const PtrStep<T> dy, unsigned int* coordList, float* thetaList)
@@ -1706,5 +1075,4 @@ namespace cv { namespace gpu { namespace device
}
}}}
#endif /* CUDA_DISABLER */
+254
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/*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) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage 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:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#if !defined CUDA_DISABLER
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/emulation.hpp"
#include "opencv2/gpu/device/dynamic_smem.hpp"
namespace cv { namespace gpu { namespace device
{
namespace hough
{
__device__ static int g_counter;
////////////////////////////////////////////////////////////////////////
// circlesAccumCenters
__global__ void circlesAccumCenters(const unsigned int* list, const int count, const PtrStepi dx, const PtrStepi dy,
PtrStepi accum, const int width, const int height, const int minRadius, const int maxRadius, const float idp)
{
const int SHIFT = 10;
const int ONE = 1 << SHIFT;
const int tid = blockIdx.x * blockDim.x + threadIdx.x;
if (tid >= count)
return;
const unsigned int val = list[tid];
const int x = (val & 0xFFFF);
const int y = (val >> 16) & 0xFFFF;
const int vx = dx(y, x);
const int vy = dy(y, x);
if (vx == 0 && vy == 0)
return;
const float mag = ::sqrtf(vx * vx + vy * vy);
const int x0 = __float2int_rn((x * idp) * ONE);
const int y0 = __float2int_rn((y * idp) * ONE);
int sx = __float2int_rn((vx * idp) * ONE / mag);
int sy = __float2int_rn((vy * idp) * ONE / mag);
// Step from minRadius to maxRadius in both directions of the gradient
for (int k1 = 0; k1 < 2; ++k1)
{
int x1 = x0 + minRadius * sx;
int y1 = y0 + minRadius * sy;
for (int r = minRadius; r <= maxRadius; x1 += sx, y1 += sy, ++r)
{
const int x2 = x1 >> SHIFT;
const int y2 = y1 >> SHIFT;
if (x2 < 0 || x2 >= width || y2 < 0 || y2 >= height)
break;
::atomicAdd(accum.ptr(y2 + 1) + x2 + 1, 1);
}
sx = -sx;
sy = -sy;
}
}
void circlesAccumCenters_gpu(const unsigned int* list, int count, PtrStepi dx, PtrStepi dy, PtrStepSzi accum, int minRadius, int maxRadius, float idp)
{
const dim3 block(256);
const dim3 grid(divUp(count, block.x));
cudaSafeCall( cudaFuncSetCacheConfig(circlesAccumCenters, cudaFuncCachePreferL1) );
circlesAccumCenters<<<grid, block>>>(list, count, dx, dy, accum, accum.cols - 2, accum.rows - 2, minRadius, maxRadius, idp);
cudaSafeCall( cudaGetLastError() );
cudaSafeCall( cudaDeviceSynchronize() );
}
////////////////////////////////////////////////////////////////////////
// buildCentersList
__global__ void buildCentersList(const PtrStepSzi accum, unsigned int* centers, const int threshold)
{
const int x = blockIdx.x * blockDim.x + threadIdx.x;
const int y = blockIdx.y * blockDim.y + threadIdx.y;
if (x < accum.cols - 2 && y < accum.rows - 2)
{
const int top = accum(y, x + 1);
const int left = accum(y + 1, x);
const int cur = accum(y + 1, x + 1);
const int right = accum(y + 1, x + 2);
const int bottom = accum(y + 2, x + 1);
if (cur > threshold && cur > top && cur >= bottom && cur > left && cur >= right)
{
const unsigned int val = (y << 16) | x;
const int idx = ::atomicAdd(&g_counter, 1);
centers[idx] = val;
}
}
}
int buildCentersList_gpu(PtrStepSzi accum, unsigned int* centers, int threshold)
{
void* counterPtr;
cudaSafeCall( cudaGetSymbolAddress(&counterPtr, g_counter) );
cudaSafeCall( cudaMemset(counterPtr, 0, sizeof(int)) );
const dim3 block(32, 8);
const dim3 grid(divUp(accum.cols - 2, block.x), divUp(accum.rows - 2, block.y));
cudaSafeCall( cudaFuncSetCacheConfig(buildCentersList, cudaFuncCachePreferL1) );
buildCentersList<<<grid, block>>>(accum, centers, threshold);
cudaSafeCall( cudaGetLastError() );
cudaSafeCall( cudaDeviceSynchronize() );
int totalCount;
cudaSafeCall( cudaMemcpy(&totalCount, counterPtr, sizeof(int), cudaMemcpyDeviceToHost) );
return totalCount;
}
////////////////////////////////////////////////////////////////////////
// circlesAccumRadius
__global__ void circlesAccumRadius(const unsigned int* centers, const unsigned int* list, const int count,
float3* circles, const int maxCircles, const float dp,
const int minRadius, const int maxRadius, const int histSize, const int threshold)
{
int* smem = DynamicSharedMem<int>();
for (int i = threadIdx.x; i < histSize + 2; i += blockDim.x)
smem[i] = 0;
__syncthreads();
unsigned int val = centers[blockIdx.x];
float cx = (val & 0xFFFF);
float cy = (val >> 16) & 0xFFFF;
cx = (cx + 0.5f) * dp;
cy = (cy + 0.5f) * dp;
for (int i = threadIdx.x; i < count; i += blockDim.x)
{
val = list[i];
const int x = (val & 0xFFFF);
const int y = (val >> 16) & 0xFFFF;
const float rad = ::sqrtf((cx - x) * (cx - x) + (cy - y) * (cy - y));
if (rad >= minRadius && rad <= maxRadius)
{
const int r = __float2int_rn(rad - minRadius);
Emulation::smem::atomicAdd(&smem[r + 1], 1);
}
}
__syncthreads();
for (int i = threadIdx.x; i < histSize; i += blockDim.x)
{
const int curVotes = smem[i + 1];
if (curVotes >= threshold && curVotes > smem[i] && curVotes >= smem[i + 2])
{
const int ind = ::atomicAdd(&g_counter, 1);
if (ind < maxCircles)
circles[ind] = make_float3(cx, cy, i + minRadius);
}
}
}
int circlesAccumRadius_gpu(const unsigned int* centers, int centersCount, const unsigned int* list, int count,
float3* circles, int maxCircles, float dp, int minRadius, int maxRadius, int threshold, bool has20)
{
void* counterPtr;
cudaSafeCall( cudaGetSymbolAddress(&counterPtr, g_counter) );
cudaSafeCall( cudaMemset(counterPtr, 0, sizeof(int)) );
const dim3 block(has20 ? 1024 : 512);
const dim3 grid(centersCount);
const int histSize = maxRadius - minRadius + 1;
size_t smemSize = (histSize + 2) * sizeof(int);
circlesAccumRadius<<<grid, block, smemSize>>>(centers, list, count, circles, maxCircles, dp, minRadius, maxRadius, histSize, threshold);
cudaSafeCall( cudaGetLastError() );
cudaSafeCall( cudaDeviceSynchronize() );
int totalCount;
cudaSafeCall( cudaMemcpy(&totalCount, counterPtr, sizeof(int), cudaMemcpyDeviceToHost) );
totalCount = ::min(totalCount, maxCircles);
return totalCount;
}
}
}}}
#endif /* CUDA_DISABLER */
+212
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@@ -0,0 +1,212 @@
/*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) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage 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:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#if !defined CUDA_DISABLER
#include <thrust/device_ptr.h>
#include <thrust/sort.h>
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/emulation.hpp"
#include "opencv2/gpu/device/dynamic_smem.hpp"
namespace cv { namespace gpu { namespace device
{
namespace hough
{
__device__ static int g_counter;
////////////////////////////////////////////////////////////////////////
// linesAccum
__global__ void linesAccumGlobal(const unsigned int* list, const int count, PtrStepi accum, const float irho, const float theta, const int numrho)
{
const int n = blockIdx.x;
const float ang = n * theta;
float sinVal;
float cosVal;
sincosf(ang, &sinVal, &cosVal);
sinVal *= irho;
cosVal *= irho;
const int shift = (numrho - 1) / 2;
int* accumRow = accum.ptr(n + 1);
for (int i = threadIdx.x; i < count; i += blockDim.x)
{
const unsigned int val = list[i];
const int x = (val & 0xFFFF);
const int y = (val >> 16) & 0xFFFF;
int r = __float2int_rn(x * cosVal + y * sinVal);
r += shift;
::atomicAdd(accumRow + r + 1, 1);
}
}
__global__ void linesAccumShared(const unsigned int* list, const int count, PtrStepi accum, const float irho, const float theta, const int numrho)
{
int* smem = DynamicSharedMem<int>();
for (int i = threadIdx.x; i < numrho + 1; i += blockDim.x)
smem[i] = 0;
__syncthreads();
const int n = blockIdx.x;
const float ang = n * theta;
float sinVal;
float cosVal;
sincosf(ang, &sinVal, &cosVal);
sinVal *= irho;
cosVal *= irho;
const int shift = (numrho - 1) / 2;
for (int i = threadIdx.x; i < count; i += blockDim.x)
{
const unsigned int val = list[i];
const int x = (val & 0xFFFF);
const int y = (val >> 16) & 0xFFFF;
int r = __float2int_rn(x * cosVal + y * sinVal);
r += shift;
Emulation::smem::atomicAdd(&smem[r + 1], 1);
}
__syncthreads();
int* accumRow = accum.ptr(n + 1);
for (int i = threadIdx.x; i < numrho + 1; i += blockDim.x)
accumRow[i] = smem[i];
}
void linesAccum_gpu(const unsigned int* list, int count, PtrStepSzi accum, float rho, float theta, size_t sharedMemPerBlock, bool has20)
{
const dim3 block(has20 ? 1024 : 512);
const dim3 grid(accum.rows - 2);
size_t smemSize = (accum.cols - 1) * sizeof(int);
if (smemSize < sharedMemPerBlock - 1000)
linesAccumShared<<<grid, block, smemSize>>>(list, count, accum, 1.0f / rho, theta, accum.cols - 2);
else
linesAccumGlobal<<<grid, block>>>(list, count, accum, 1.0f / rho, theta, accum.cols - 2);
cudaSafeCall( cudaGetLastError() );
cudaSafeCall( cudaDeviceSynchronize() );
}
////////////////////////////////////////////////////////////////////////
// linesGetResult
__global__ void linesGetResult(const PtrStepSzi accum, float2* out, int* votes, const int maxSize, const float rho, const float theta, const int threshold, const int numrho)
{
const int r = blockIdx.x * blockDim.x + threadIdx.x;
const int n = blockIdx.y * blockDim.y + threadIdx.y;
if (r >= accum.cols - 2 || n >= accum.rows - 2)
return;
const int curVotes = accum(n + 1, r + 1);
if (curVotes > threshold &&
curVotes > accum(n + 1, r) &&
curVotes >= accum(n + 1, r + 2) &&
curVotes > accum(n, r + 1) &&
curVotes >= accum(n + 2, r + 1))
{
const float radius = (r - (numrho - 1) * 0.5f) * rho;
const float angle = n * theta;
const int ind = ::atomicAdd(&g_counter, 1);
if (ind < maxSize)
{
out[ind] = make_float2(radius, angle);
votes[ind] = curVotes;
}
}
}
int linesGetResult_gpu(PtrStepSzi accum, float2* out, int* votes, int maxSize, float rho, float theta, int threshold, bool doSort)
{
void* counterPtr;
cudaSafeCall( cudaGetSymbolAddress(&counterPtr, g_counter) );
cudaSafeCall( cudaMemset(counterPtr, 0, sizeof(int)) );
const dim3 block(32, 8);
const dim3 grid(divUp(accum.cols - 2, block.x), divUp(accum.rows - 2, block.y));
cudaSafeCall( cudaFuncSetCacheConfig(linesGetResult, cudaFuncCachePreferL1) );
linesGetResult<<<grid, block>>>(accum, out, votes, maxSize, rho, theta, threshold, accum.cols - 2);
cudaSafeCall( cudaGetLastError() );
cudaSafeCall( cudaDeviceSynchronize() );
int totalCount;
cudaSafeCall( cudaMemcpy(&totalCount, counterPtr, sizeof(int), cudaMemcpyDeviceToHost) );
totalCount = ::min(totalCount, maxSize);
if (doSort && totalCount > 0)
{
thrust::device_ptr<float2> outPtr(out);
thrust::device_ptr<int> votesPtr(votes);
thrust::sort_by_key(votesPtr, votesPtr + totalCount, outPtr, thrust::greater<int>());
}
return totalCount;
}
}
}}}
#endif /* CUDA_DISABLER */
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/*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) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage 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:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#if !defined CUDA_DISABLER
#include "opencv2/gpu/device/common.hpp"
#include "opencv2/gpu/device/vec_math.hpp"
namespace cv { namespace gpu { namespace device
{
namespace hough
{
__device__ int g_counter;
texture<uchar, cudaTextureType2D, cudaReadModeElementType> tex_mask(false, cudaFilterModePoint, cudaAddressModeClamp);
__global__ void houghLinesProbabilistic(const PtrStepSzi accum,
int4* out, const int maxSize,
const float rho, const float theta,
const int lineGap, const int lineLength,
const int rows, const int cols)
{
const int r = blockIdx.x * blockDim.x + threadIdx.x;
const int n = blockIdx.y * blockDim.y + threadIdx.y;
if (r >= accum.cols - 2 || n >= accum.rows - 2)
return;
const int curVotes = accum(n + 1, r + 1);
if (curVotes >= lineLength &&
curVotes > accum(n, r) &&
curVotes > accum(n, r + 1) &&
curVotes > accum(n, r + 2) &&
curVotes > accum(n + 1, r) &&
curVotes > accum(n + 1, r + 2) &&
curVotes > accum(n + 2, r) &&
curVotes > accum(n + 2, r + 1) &&
curVotes > accum(n + 2, r + 2))
{
const float radius = (r - (accum.cols - 2 - 1) * 0.5f) * rho;
const float angle = n * theta;
float cosa;
float sina;
sincosf(angle, &sina, &cosa);
float2 p0 = make_float2(cosa * radius, sina * radius);
float2 dir = make_float2(-sina, cosa);
float2 pb[4] = {make_float2(-1, -1), make_float2(-1, -1), make_float2(-1, -1), make_float2(-1, -1)};
float a;
if (dir.x != 0)
{
a = -p0.x / dir.x;
pb[0].x = 0;
pb[0].y = p0.y + a * dir.y;
a = (cols - 1 - p0.x) / dir.x;
pb[1].x = cols - 1;
pb[1].y = p0.y + a * dir.y;
}
if (dir.y != 0)
{
a = -p0.y / dir.y;
pb[2].x = p0.x + a * dir.x;
pb[2].y = 0;
a = (rows - 1 - p0.y) / dir.y;
pb[3].x = p0.x + a * dir.x;
pb[3].y = rows - 1;
}
if (pb[0].x == 0 && (pb[0].y >= 0 && pb[0].y < rows))
{
p0 = pb[0];
if (dir.x < 0)
dir = -dir;
}
else if (pb[1].x == cols - 1 && (pb[0].y >= 0 && pb[0].y < rows))
{
p0 = pb[1];
if (dir.x > 0)
dir = -dir;
}
else if (pb[2].y == 0 && (pb[2].x >= 0 && pb[2].x < cols))
{
p0 = pb[2];
if (dir.y < 0)
dir = -dir;
}
else if (pb[3].y == rows - 1 && (pb[3].x >= 0 && pb[3].x < cols))
{
p0 = pb[3];
if (dir.y > 0)
dir = -dir;
}
float2 d;
if (::fabsf(dir.x) > ::fabsf(dir.y))
{
d.x = dir.x > 0 ? 1 : -1;
d.y = dir.y / ::fabsf(dir.x);
}
else
{
d.x = dir.x / ::fabsf(dir.y);
d.y = dir.y > 0 ? 1 : -1;
}
float2 line_end[2];
int gap;
bool inLine = false;
float2 p1 = p0;
if (p1.x < 0 || p1.x >= cols || p1.y < 0 || p1.y >= rows)
return;
for (;;)
{
if (tex2D(tex_mask, p1.x, p1.y))
{
gap = 0;
if (!inLine)
{
line_end[0] = p1;
line_end[1] = p1;
inLine = true;
}
else
{
line_end[1] = p1;
}
}
else if (inLine)
{
if (++gap > lineGap)
{
bool good_line = ::abs(line_end[1].x - line_end[0].x) >= lineLength ||
::abs(line_end[1].y - line_end[0].y) >= lineLength;
if (good_line)
{
const int ind = ::atomicAdd(&g_counter, 1);
if (ind < maxSize)
out[ind] = make_int4(line_end[0].x, line_end[0].y, line_end[1].x, line_end[1].y);
}
gap = 0;
inLine = false;
}
}
p1 = p1 + d;
if (p1.x < 0 || p1.x >= cols || p1.y < 0 || p1.y >= rows)
{
if (inLine)
{
bool good_line = ::abs(line_end[1].x - line_end[0].x) >= lineLength ||
::abs(line_end[1].y - line_end[0].y) >= lineLength;
if (good_line)
{
const int ind = ::atomicAdd(&g_counter, 1);
if (ind < maxSize)
out[ind] = make_int4(line_end[0].x, line_end[0].y, line_end[1].x, line_end[1].y);
}
}
break;
}
}
}
}
int houghLinesProbabilistic_gpu(PtrStepSzb mask, PtrStepSzi accum, int4* out, int maxSize, float rho, float theta, int lineGap, int lineLength)
{
void* counterPtr;
cudaSafeCall( cudaGetSymbolAddress(&counterPtr, g_counter) );
cudaSafeCall( cudaMemset(counterPtr, 0, sizeof(int)) );
const dim3 block(32, 8);
const dim3 grid(divUp(accum.cols - 2, block.x), divUp(accum.rows - 2, block.y));
bindTexture(&tex_mask, mask);
houghLinesProbabilistic<<<grid, block>>>(accum,
out, maxSize,
rho, theta,
lineGap, lineLength,
mask.rows, mask.cols);
cudaSafeCall( cudaGetLastError() );
cudaSafeCall( cudaDeviceSynchronize() );
int totalCount;
cudaSafeCall( cudaMemcpy(&totalCount, counterPtr, sizeof(int), cudaMemcpyDeviceToHost) );
totalCount = ::min(totalCount, maxSize);
return totalCount;
}
}
}}}
#endif /* CUDA_DISABLER */
@@ -40,6 +40,8 @@
//
//M*/
#define CUDA_DISABLER
#include "precomp.hpp"
using namespace std;
@@ -48,16 +50,6 @@ using namespace cv::gpu;
#if !defined (HAVE_CUDA) || defined (CUDA_DISABLER)
void cv::gpu::HoughLines(const GpuMat&, GpuMat&, float, float, int, bool, int) { throw_nogpu(); }
void cv::gpu::HoughLines(const GpuMat&, GpuMat&, HoughLinesBuf&, float, float, int, bool, int) { throw_nogpu(); }
void cv::gpu::HoughLinesDownload(const GpuMat&, OutputArray, OutputArray) { throw_nogpu(); }
void cv::gpu::HoughLinesP(const GpuMat&, GpuMat&, HoughLinesBuf&, float, float, int, int, int) { throw_nogpu(); }
void cv::gpu::HoughCircles(const GpuMat&, GpuMat&, int, float, float, int, int, int, int, int) { throw_nogpu(); }
void cv::gpu::HoughCircles(const GpuMat&, GpuMat&, HoughCirclesBuf&, int, float, float, int, int, int, int, int) { throw_nogpu(); }
void cv::gpu::HoughCirclesDownload(const GpuMat&, OutputArray) { throw_nogpu(); }
Ptr<GeneralizedHough_GPU> cv::gpu::GeneralizedHough_GPU::create(int) { throw_nogpu(); return Ptr<GeneralizedHough_GPU>(); }
cv::gpu::GeneralizedHough_GPU::~GeneralizedHough_GPU() {}
void cv::gpu::GeneralizedHough_GPU::setTemplate(const GpuMat&, int, Point) { throw_nogpu(); }
@@ -77,299 +69,6 @@ namespace cv { namespace gpu { namespace device
}
}}}
//////////////////////////////////////////////////////////
// HoughLines
namespace cv { namespace gpu { namespace device
{
namespace hough
{
void linesAccum_gpu(const unsigned int* list, int count, PtrStepSzi accum, float rho, float theta, size_t sharedMemPerBlock, bool has20);
int linesGetResult_gpu(PtrStepSzi accum, float2* out, int* votes, int maxSize, float rho, float theta, int threshold, bool doSort);
}
}}}
void cv::gpu::HoughLines(const GpuMat& src, GpuMat& lines, float rho, float theta, int threshold, bool doSort, int maxLines)
{
HoughLinesBuf buf;
HoughLines(src, lines, buf, rho, theta, threshold, doSort, maxLines);
}
void cv::gpu::HoughLines(const GpuMat& src, GpuMat& lines, HoughLinesBuf& buf, float rho, float theta, int threshold, bool doSort, int maxLines)
{
using namespace cv::gpu::device::hough;
CV_Assert(src.type() == CV_8UC1);
CV_Assert(src.cols < std::numeric_limits<unsigned short>::max());
CV_Assert(src.rows < std::numeric_limits<unsigned short>::max());
ensureSizeIsEnough(1, src.size().area(), CV_32SC1, buf.list);
unsigned int* srcPoints = buf.list.ptr<unsigned int>();
const int pointsCount = buildPointList_gpu(src, srcPoints);
if (pointsCount == 0)
{
lines.release();
return;
}
const int numangle = cvRound(CV_PI / theta);
const int numrho = cvRound(((src.cols + src.rows) * 2 + 1) / rho);
CV_Assert(numangle > 0 && numrho > 0);
ensureSizeIsEnough(numangle + 2, numrho + 2, CV_32SC1, buf.accum);
buf.accum.setTo(Scalar::all(0));
DeviceInfo devInfo;
linesAccum_gpu(srcPoints, pointsCount, buf.accum, rho, theta, devInfo.sharedMemPerBlock(), devInfo.supports(FEATURE_SET_COMPUTE_20));
ensureSizeIsEnough(2, maxLines, CV_32FC2, lines);
int linesCount = linesGetResult_gpu(buf.accum, lines.ptr<float2>(0), lines.ptr<int>(1), maxLines, rho, theta, threshold, doSort);
if (linesCount > 0)
lines.cols = linesCount;
else
lines.release();
}
void cv::gpu::HoughLinesDownload(const GpuMat& d_lines, OutputArray h_lines_, OutputArray h_votes_)
{
if (d_lines.empty())
{
h_lines_.release();
if (h_votes_.needed())
h_votes_.release();
return;
}
CV_Assert(d_lines.rows == 2 && d_lines.type() == CV_32FC2);
h_lines_.create(1, d_lines.cols, CV_32FC2);
Mat h_lines = h_lines_.getMat();
d_lines.row(0).download(h_lines);
if (h_votes_.needed())
{
h_votes_.create(1, d_lines.cols, CV_32SC1);
Mat h_votes = h_votes_.getMat();
GpuMat d_votes(1, d_lines.cols, CV_32SC1, const_cast<int*>(d_lines.ptr<int>(1)));
d_votes.download(h_votes);
}
}
//////////////////////////////////////////////////////////
// HoughLinesP
namespace cv { namespace gpu { namespace device
{
namespace hough
{
int houghLinesProbabilistic_gpu(PtrStepSzb mask, PtrStepSzi accum, int4* out, int maxSize, float rho, float theta, int lineGap, int lineLength);
}
}}}
void cv::gpu::HoughLinesP(const GpuMat& src, GpuMat& lines, HoughLinesBuf& buf, float rho, float theta, int minLineLength, int maxLineGap, int maxLines)
{
using namespace cv::gpu::device::hough;
CV_Assert( src.type() == CV_8UC1 );
CV_Assert( src.cols < std::numeric_limits<unsigned short>::max() );
CV_Assert( src.rows < std::numeric_limits<unsigned short>::max() );
ensureSizeIsEnough(1, src.size().area(), CV_32SC1, buf.list);
unsigned int* srcPoints = buf.list.ptr<unsigned int>();
const int pointsCount = buildPointList_gpu(src, srcPoints);
if (pointsCount == 0)
{
lines.release();
return;
}
const int numangle = cvRound(CV_PI / theta);
const int numrho = cvRound(((src.cols + src.rows) * 2 + 1) / rho);
CV_Assert( numangle > 0 && numrho > 0 );
ensureSizeIsEnough(numangle + 2, numrho + 2, CV_32SC1, buf.accum);
buf.accum.setTo(Scalar::all(0));
DeviceInfo devInfo;
linesAccum_gpu(srcPoints, pointsCount, buf.accum, rho, theta, devInfo.sharedMemPerBlock(), devInfo.supports(FEATURE_SET_COMPUTE_20));
ensureSizeIsEnough(1, maxLines, CV_32SC4, lines);
int linesCount = houghLinesProbabilistic_gpu(src, buf.accum, lines.ptr<int4>(), maxLines, rho, theta, maxLineGap, minLineLength);
if (linesCount > 0)
lines.cols = linesCount;
else
lines.release();
}
//////////////////////////////////////////////////////////
// HoughCircles
namespace cv { namespace gpu { namespace device
{
namespace hough
{
void circlesAccumCenters_gpu(const unsigned int* list, int count, PtrStepi dx, PtrStepi dy, PtrStepSzi accum, int minRadius, int maxRadius, float idp);
int buildCentersList_gpu(PtrStepSzi accum, unsigned int* centers, int threshold);
int circlesAccumRadius_gpu(const unsigned int* centers, int centersCount, const unsigned int* list, int count,
float3* circles, int maxCircles, float dp, int minRadius, int maxRadius, int threshold, bool has20);
}
}}}
void cv::gpu::HoughCircles(const GpuMat& src, GpuMat& circles, int method, float dp, float minDist, int cannyThreshold, int votesThreshold, int minRadius, int maxRadius, int maxCircles)
{
HoughCirclesBuf buf;
HoughCircles(src, circles, buf, method, dp, minDist, cannyThreshold, votesThreshold, minRadius, maxRadius, maxCircles);
}
void cv::gpu::HoughCircles(const GpuMat& src, GpuMat& circles, HoughCirclesBuf& buf, int method,
float dp, float minDist, int cannyThreshold, int votesThreshold, int minRadius, int maxRadius, int maxCircles)
{
using namespace cv::gpu::device::hough;
CV_Assert(src.type() == CV_8UC1);
CV_Assert(src.cols < std::numeric_limits<unsigned short>::max());
CV_Assert(src.rows < std::numeric_limits<unsigned short>::max());
CV_Assert(method == CV_HOUGH_GRADIENT);
CV_Assert(dp > 0);
CV_Assert(minRadius > 0 && maxRadius > minRadius);
CV_Assert(cannyThreshold > 0);
CV_Assert(votesThreshold > 0);
CV_Assert(maxCircles > 0);
const float idp = 1.0f / dp;
cv::gpu::Canny(src, buf.cannyBuf, buf.edges, std::max(cannyThreshold / 2, 1), cannyThreshold);
ensureSizeIsEnough(2, src.size().area(), CV_32SC1, buf.list);
unsigned int* srcPoints = buf.list.ptr<unsigned int>(0);
unsigned int* centers = buf.list.ptr<unsigned int>(1);
const int pointsCount = buildPointList_gpu(buf.edges, srcPoints);
if (pointsCount == 0)
{
circles.release();
return;
}
ensureSizeIsEnough(cvCeil(src.rows * idp) + 2, cvCeil(src.cols * idp) + 2, CV_32SC1, buf.accum);
buf.accum.setTo(Scalar::all(0));
circlesAccumCenters_gpu(srcPoints, pointsCount, buf.cannyBuf.dx, buf.cannyBuf.dy, buf.accum, minRadius, maxRadius, idp);
int centersCount = buildCentersList_gpu(buf.accum, centers, votesThreshold);
if (centersCount == 0)
{
circles.release();
return;
}
if (minDist > 1)
{
cv::AutoBuffer<ushort2> oldBuf_(centersCount);
cv::AutoBuffer<ushort2> newBuf_(centersCount);
int newCount = 0;
ushort2* oldBuf = oldBuf_;
ushort2* newBuf = newBuf_;
cudaSafeCall( cudaMemcpy(oldBuf, centers, centersCount * sizeof(ushort2), cudaMemcpyDeviceToHost) );
const int cellSize = cvRound(minDist);
const int gridWidth = (src.cols + cellSize - 1) / cellSize;
const int gridHeight = (src.rows + cellSize - 1) / cellSize;
std::vector< std::vector<ushort2> > grid(gridWidth * gridHeight);
const float minDist2 = minDist * minDist;
for (int i = 0; i < centersCount; ++i)
{
ushort2 p = oldBuf[i];
bool good = true;
int xCell = static_cast<int>(p.x / cellSize);
int yCell = static_cast<int>(p.y / cellSize);
int x1 = xCell - 1;
int y1 = yCell - 1;
int x2 = xCell + 1;
int y2 = yCell + 1;
// boundary check
x1 = std::max(0, x1);
y1 = std::max(0, y1);
x2 = std::min(gridWidth - 1, x2);
y2 = std::min(gridHeight - 1, y2);
for (int yy = y1; yy <= y2; ++yy)
{
for (int xx = x1; xx <= x2; ++xx)
{
vector<ushort2>& m = grid[yy * gridWidth + xx];
for(size_t j = 0; j < m.size(); ++j)
{
float dx = (float)(p.x - m[j].x);
float dy = (float)(p.y - m[j].y);
if (dx * dx + dy * dy < minDist2)
{
good = false;
goto break_out;
}
}
}
}
break_out:
if(good)
{
grid[yCell * gridWidth + xCell].push_back(p);
newBuf[newCount++] = p;
}
}
cudaSafeCall( cudaMemcpy(centers, newBuf, newCount * sizeof(unsigned int), cudaMemcpyHostToDevice) );
centersCount = newCount;
}
ensureSizeIsEnough(1, maxCircles, CV_32FC3, circles);
const int circlesCount = circlesAccumRadius_gpu(centers, centersCount, srcPoints, pointsCount, circles.ptr<float3>(), maxCircles,
dp, minRadius, maxRadius, votesThreshold, deviceSupports(FEATURE_SET_COMPUTE_20));
if (circlesCount > 0)
circles.cols = circlesCount;
else
circles.release();
}
void cv::gpu::HoughCirclesDownload(const GpuMat& d_circles, cv::OutputArray h_circles_)
{
if (d_circles.empty())
{
h_circles_.release();
return;
}
CV_Assert(d_circles.rows == 1 && d_circles.type() == CV_32FC3);
h_circles_.create(1, d_circles.cols, CV_32FC3);
Mat h_circles = h_circles_.getMat();
d_circles.download(h_circles);
}
//////////////////////////////////////////////////////////
// GeneralizedHough
namespace cv { namespace gpu { namespace device
{
namespace hough
+223
Ver Arquivo
@@ -0,0 +1,223 @@
/*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) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage 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:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "precomp.hpp"
using namespace std;
using namespace cv;
using namespace cv::gpu;
#if !defined (HAVE_CUDA) || defined (CUDA_DISABLER)
void cv::gpu::HoughCircles(const GpuMat&, GpuMat&, int, float, float, int, int, int, int, int) { throw_nogpu(); }
void cv::gpu::HoughCircles(const GpuMat&, GpuMat&, HoughCirclesBuf&, int, float, float, int, int, int, int, int) { throw_nogpu(); }
void cv::gpu::HoughCirclesDownload(const GpuMat&, OutputArray) { throw_nogpu(); }
#else /* !defined (HAVE_CUDA) */
namespace cv { namespace gpu { namespace device
{
namespace hough
{
int buildPointList_gpu(PtrStepSzb src, unsigned int* list);
}
}}}
namespace cv { namespace gpu { namespace device
{
namespace hough
{
void circlesAccumCenters_gpu(const unsigned int* list, int count, PtrStepi dx, PtrStepi dy, PtrStepSzi accum, int minRadius, int maxRadius, float idp);
int buildCentersList_gpu(PtrStepSzi accum, unsigned int* centers, int threshold);
int circlesAccumRadius_gpu(const unsigned int* centers, int centersCount, const unsigned int* list, int count,
float3* circles, int maxCircles, float dp, int minRadius, int maxRadius, int threshold, bool has20);
}
}}}
void cv::gpu::HoughCircles(const GpuMat& src, GpuMat& circles, int method, float dp, float minDist, int cannyThreshold, int votesThreshold, int minRadius, int maxRadius, int maxCircles)
{
HoughCirclesBuf buf;
HoughCircles(src, circles, buf, method, dp, minDist, cannyThreshold, votesThreshold, minRadius, maxRadius, maxCircles);
}
void cv::gpu::HoughCircles(const GpuMat& src, GpuMat& circles, HoughCirclesBuf& buf, int method,
float dp, float minDist, int cannyThreshold, int votesThreshold, int minRadius, int maxRadius, int maxCircles)
{
using namespace cv::gpu::device::hough;
CV_Assert(src.type() == CV_8UC1);
CV_Assert(src.cols < std::numeric_limits<unsigned short>::max());
CV_Assert(src.rows < std::numeric_limits<unsigned short>::max());
CV_Assert(method == CV_HOUGH_GRADIENT);
CV_Assert(dp > 0);
CV_Assert(minRadius > 0 && maxRadius > minRadius);
CV_Assert(cannyThreshold > 0);
CV_Assert(votesThreshold > 0);
CV_Assert(maxCircles > 0);
const float idp = 1.0f / dp;
cv::gpu::Canny(src, buf.cannyBuf, buf.edges, std::max(cannyThreshold / 2, 1), cannyThreshold);
ensureSizeIsEnough(2, src.size().area(), CV_32SC1, buf.list);
unsigned int* srcPoints = buf.list.ptr<unsigned int>(0);
unsigned int* centers = buf.list.ptr<unsigned int>(1);
const int pointsCount = buildPointList_gpu(buf.edges, srcPoints);
if (pointsCount == 0)
{
circles.release();
return;
}
ensureSizeIsEnough(cvCeil(src.rows * idp) + 2, cvCeil(src.cols * idp) + 2, CV_32SC1, buf.accum);
buf.accum.setTo(Scalar::all(0));
circlesAccumCenters_gpu(srcPoints, pointsCount, buf.cannyBuf.dx, buf.cannyBuf.dy, buf.accum, minRadius, maxRadius, idp);
int centersCount = buildCentersList_gpu(buf.accum, centers, votesThreshold);
if (centersCount == 0)
{
circles.release();
return;
}
if (minDist > 1)
{
cv::AutoBuffer<ushort2> oldBuf_(centersCount);
cv::AutoBuffer<ushort2> newBuf_(centersCount);
int newCount = 0;
ushort2* oldBuf = oldBuf_;
ushort2* newBuf = newBuf_;
cudaSafeCall( cudaMemcpy(oldBuf, centers, centersCount * sizeof(ushort2), cudaMemcpyDeviceToHost) );
const int cellSize = cvRound(minDist);
const int gridWidth = (src.cols + cellSize - 1) / cellSize;
const int gridHeight = (src.rows + cellSize - 1) / cellSize;
std::vector< std::vector<ushort2> > grid(gridWidth * gridHeight);
const float minDist2 = minDist * minDist;
for (int i = 0; i < centersCount; ++i)
{
ushort2 p = oldBuf[i];
bool good = true;
int xCell = static_cast<int>(p.x / cellSize);
int yCell = static_cast<int>(p.y / cellSize);
int x1 = xCell - 1;
int y1 = yCell - 1;
int x2 = xCell + 1;
int y2 = yCell + 1;
// boundary check
x1 = std::max(0, x1);
y1 = std::max(0, y1);
x2 = std::min(gridWidth - 1, x2);
y2 = std::min(gridHeight - 1, y2);
for (int yy = y1; yy <= y2; ++yy)
{
for (int xx = x1; xx <= x2; ++xx)
{
vector<ushort2>& m = grid[yy * gridWidth + xx];
for(size_t j = 0; j < m.size(); ++j)
{
float dx = (float)(p.x - m[j].x);
float dy = (float)(p.y - m[j].y);
if (dx * dx + dy * dy < minDist2)
{
good = false;
goto break_out;
}
}
}
}
break_out:
if(good)
{
grid[yCell * gridWidth + xCell].push_back(p);
newBuf[newCount++] = p;
}
}
cudaSafeCall( cudaMemcpy(centers, newBuf, newCount * sizeof(unsigned int), cudaMemcpyHostToDevice) );
centersCount = newCount;
}
ensureSizeIsEnough(1, maxCircles, CV_32FC3, circles);
const int circlesCount = circlesAccumRadius_gpu(centers, centersCount, srcPoints, pointsCount, circles.ptr<float3>(), maxCircles,
dp, minRadius, maxRadius, votesThreshold, deviceSupports(FEATURE_SET_COMPUTE_20));
if (circlesCount > 0)
circles.cols = circlesCount;
else
circles.release();
}
void cv::gpu::HoughCirclesDownload(const GpuMat& d_circles, cv::OutputArray h_circles_)
{
if (d_circles.empty())
{
h_circles_.release();
return;
}
CV_Assert(d_circles.rows == 1 && d_circles.type() == CV_32FC3);
h_circles_.create(1, d_circles.cols, CV_32FC3);
Mat h_circles = h_circles_.getMat();
d_circles.download(h_circles);
}
#endif /* !defined (HAVE_CUDA) */
+142
Ver Arquivo
@@ -0,0 +1,142 @@
/*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) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage 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:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "precomp.hpp"
using namespace std;
using namespace cv;
using namespace cv::gpu;
#if !defined (HAVE_CUDA) || defined (CUDA_DISABLER)
void cv::gpu::HoughLines(const GpuMat&, GpuMat&, float, float, int, bool, int) { throw_nogpu(); }
void cv::gpu::HoughLines(const GpuMat&, GpuMat&, HoughLinesBuf&, float, float, int, bool, int) { throw_nogpu(); }
void cv::gpu::HoughLinesDownload(const GpuMat&, OutputArray, OutputArray) { throw_nogpu(); }
#else /* !defined (HAVE_CUDA) */
namespace cv { namespace gpu { namespace device
{
namespace hough
{
int buildPointList_gpu(PtrStepSzb src, unsigned int* list);
}
}}}
namespace cv { namespace gpu { namespace device
{
namespace hough
{
void linesAccum_gpu(const unsigned int* list, int count, PtrStepSzi accum, float rho, float theta, size_t sharedMemPerBlock, bool has20);
int linesGetResult_gpu(PtrStepSzi accum, float2* out, int* votes, int maxSize, float rho, float theta, int threshold, bool doSort);
}
}}}
void cv::gpu::HoughLines(const GpuMat& src, GpuMat& lines, float rho, float theta, int threshold, bool doSort, int maxLines)
{
HoughLinesBuf buf;
HoughLines(src, lines, buf, rho, theta, threshold, doSort, maxLines);
}
void cv::gpu::HoughLines(const GpuMat& src, GpuMat& lines, HoughLinesBuf& buf, float rho, float theta, int threshold, bool doSort, int maxLines)
{
using namespace cv::gpu::device::hough;
CV_Assert(src.type() == CV_8UC1);
CV_Assert(src.cols < std::numeric_limits<unsigned short>::max());
CV_Assert(src.rows < std::numeric_limits<unsigned short>::max());
ensureSizeIsEnough(1, src.size().area(), CV_32SC1, buf.list);
unsigned int* srcPoints = buf.list.ptr<unsigned int>();
const int pointsCount = buildPointList_gpu(src, srcPoints);
if (pointsCount == 0)
{
lines.release();
return;
}
const int numangle = cvRound(CV_PI / theta);
const int numrho = cvRound(((src.cols + src.rows) * 2 + 1) / rho);
CV_Assert(numangle > 0 && numrho > 0);
ensureSizeIsEnough(numangle + 2, numrho + 2, CV_32SC1, buf.accum);
buf.accum.setTo(Scalar::all(0));
DeviceInfo devInfo;
linesAccum_gpu(srcPoints, pointsCount, buf.accum, rho, theta, devInfo.sharedMemPerBlock(), devInfo.supports(FEATURE_SET_COMPUTE_20));
ensureSizeIsEnough(2, maxLines, CV_32FC2, lines);
int linesCount = linesGetResult_gpu(buf.accum, lines.ptr<float2>(0), lines.ptr<int>(1), maxLines, rho, theta, threshold, doSort);
if (linesCount > 0)
lines.cols = linesCount;
else
lines.release();
}
void cv::gpu::HoughLinesDownload(const GpuMat& d_lines, OutputArray h_lines_, OutputArray h_votes_)
{
if (d_lines.empty())
{
h_lines_.release();
if (h_votes_.needed())
h_votes_.release();
return;
}
CV_Assert(d_lines.rows == 2 && d_lines.type() == CV_32FC2);
h_lines_.create(1, d_lines.cols, CV_32FC2);
Mat h_lines = h_lines_.getMat();
d_lines.row(0).download(h_lines);
if (h_votes_.needed())
{
h_votes_.create(1, d_lines.cols, CV_32SC1);
Mat h_votes = h_votes_.getMat();
GpuMat d_votes(1, d_lines.cols, CV_32SC1, const_cast<int*>(d_lines.ptr<int>(1)));
d_votes.download(h_votes);
}
}
#endif /* !defined (HAVE_CUDA) */
+110
Ver Arquivo
@@ -0,0 +1,110 @@
/*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) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage 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:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "precomp.hpp"
using namespace std;
using namespace cv;
using namespace cv::gpu;
#if !defined (HAVE_CUDA) || defined (CUDA_DISABLER)
void cv::gpu::HoughLinesP(const GpuMat&, GpuMat&, HoughLinesBuf&, float, float, int, int, int) { throw_nogpu(); }
#else /* !defined (HAVE_CUDA) */
namespace cv { namespace gpu { namespace device
{
namespace hough
{
int buildPointList_gpu(PtrStepSzb src, unsigned int* list);
}
}}}
namespace cv { namespace gpu { namespace device
{
namespace hough
{
void linesAccum_gpu(const unsigned int* list, int count, PtrStepSzi accum, float rho, float theta, size_t sharedMemPerBlock, bool has20);
int houghLinesProbabilistic_gpu(PtrStepSzb mask, PtrStepSzi accum, int4* out, int maxSize, float rho, float theta, int lineGap, int lineLength);
}
}}}
void cv::gpu::HoughLinesP(const GpuMat& src, GpuMat& lines, HoughLinesBuf& buf, float rho, float theta, int minLineLength, int maxLineGap, int maxLines)
{
using namespace cv::gpu::device::hough;
CV_Assert( src.type() == CV_8UC1 );
CV_Assert( src.cols < std::numeric_limits<unsigned short>::max() );
CV_Assert( src.rows < std::numeric_limits<unsigned short>::max() );
ensureSizeIsEnough(1, src.size().area(), CV_32SC1, buf.list);
unsigned int* srcPoints = buf.list.ptr<unsigned int>();
const int pointsCount = buildPointList_gpu(src, srcPoints);
if (pointsCount == 0)
{
lines.release();
return;
}
const int numangle = cvRound(CV_PI / theta);
const int numrho = cvRound(((src.cols + src.rows) * 2 + 1) / rho);
CV_Assert( numangle > 0 && numrho > 0 );
ensureSizeIsEnough(numangle + 2, numrho + 2, CV_32SC1, buf.accum);
buf.accum.setTo(Scalar::all(0));
DeviceInfo devInfo;
linesAccum_gpu(srcPoints, pointsCount, buf.accum, rho, theta, devInfo.sharedMemPerBlock(), devInfo.supports(FEATURE_SET_COMPUTE_20));
ensureSizeIsEnough(1, maxLines, CV_32SC4, lines);
int linesCount = houghLinesProbabilistic_gpu(src, buf.accum, lines.ptr<int4>(), maxLines, rho, theta, maxLineGap, minLineLength);
if (linesCount > 0)
lines.cols = linesCount;
else
lines.release();
}
#endif /* !defined (HAVE_CUDA) */
+1 -1
Ver Arquivo
@@ -189,7 +189,7 @@ PARAM_TEST_CASE(GeneralizedHough, cv::gpu::DeviceInfo, UseRoi)
{
};
GPU_TEST_P(GeneralizedHough, POSITION)
GPU_TEST_P(GeneralizedHough, DISABLED_POSITION)
{
const cv::gpu::DeviceInfo devInfo = GET_PARAM(0);
cv::gpu::setDevice(devInfo.deviceID());
+1 -1
Ver Arquivo
@@ -315,7 +315,7 @@ if(WIN32 AND WITH_FFMPEG)
COMMENT "Copying ${ffmpeg_path} to the output directory")
endif()
install(FILES "${ffmpeg_path}" DESTINATION ${OPENCV_BIN_INSTALL_PATH} COMPONENT main RENAME "${ffmpeg_bare_name_ver}")
install(FILES "${ffmpeg_path}" DESTINATION ${OPENCV_BIN_INSTALL_PATH} COMPONENT libs RENAME "${ffmpeg_bare_name_ver}")
endif()
ocv_add_accuracy_tests()
+13 -13
Ver Arquivo
@@ -175,7 +175,7 @@ foreach(java_file ${step3_input_files})
if(ANDROID)
get_filename_component(install_subdir "${java_file_name}" PATH)
install(FILES "${output_name}" DESTINATION "${JAVA_INSTALL_ROOT}/src/org/opencv/${install_subdir}" COMPONENT main)
install(FILES "${output_name}" DESTINATION "${JAVA_INSTALL_ROOT}/src/org/opencv/${install_subdir}" COMPONENT java)
endif()
endforeach()
@@ -189,7 +189,7 @@ if(ANDROID)
if(NOT file MATCHES "jni/.+")
get_filename_component(install_subdir "${file}" PATH)
install(FILES "${OpenCV_BINARY_DIR}/${file}" DESTINATION "${JAVA_INSTALL_ROOT}/${install_subdir}" COMPONENT main)
install(FILES "${OpenCV_BINARY_DIR}/${file}" DESTINATION "${JAVA_INSTALL_ROOT}/${install_subdir}" COMPONENT java)
endif()
endforeach()
@@ -225,11 +225,11 @@ if(ANDROID AND ANDROID_EXECUTABLE)
list(APPEND copied_files ${lib_target_files} "${OpenCV_BINARY_DIR}/${ANDROID_MANIFEST_FILE}")
list(APPEND step3_input_files "${CMAKE_CURRENT_BINARY_DIR}/${ANDROID_MANIFEST_FILE}")
install(FILES "${OpenCV_BINARY_DIR}/${ANDROID_PROJECT_PROPERTIES_FILE}" DESTINATION ${JAVA_INSTALL_ROOT} COMPONENT main)
install(FILES "${OpenCV_BINARY_DIR}/${ANDROID_MANIFEST_FILE}" DESTINATION ${JAVA_INSTALL_ROOT} COMPONENT main)
install(FILES "${OpenCV_BINARY_DIR}/${ANDROID_PROJECT_PROPERTIES_FILE}" DESTINATION ${JAVA_INSTALL_ROOT} COMPONENT java)
install(FILES "${OpenCV_BINARY_DIR}/${ANDROID_MANIFEST_FILE}" DESTINATION ${JAVA_INSTALL_ROOT} COMPONENT java)
# creating empty 'gen' and 'res' folders
install(CODE "MAKE_DIRECTORY(\"\$ENV{DESTDIR}\${CMAKE_INSTALL_PREFIX}/${JAVA_INSTALL_ROOT}/gen\")" COMPONENT main)
install(CODE "MAKE_DIRECTORY(\"\$ENV{DESTDIR}\${CMAKE_INSTALL_PREFIX}/${JAVA_INSTALL_ROOT}/res\")" COMPONENT main)
install(CODE "MAKE_DIRECTORY(\"\$ENV{DESTDIR}\${CMAKE_INSTALL_PREFIX}/${JAVA_INSTALL_ROOT}/gen\")" COMPONENT java)
install(CODE "MAKE_DIRECTORY(\"\$ENV{DESTDIR}\${CMAKE_INSTALL_PREFIX}/${JAVA_INSTALL_ROOT}/res\")" COMPONENT java)
endif(ANDROID AND ANDROID_EXECUTABLE)
set(step3_depends ${step2_depends} ${step3_input_files} ${copied_files})
@@ -282,7 +282,7 @@ else(ANDROID)
else(WIN32)
set(JAR_INSTALL_DIR share/OpenCV/java)
endif(WIN32)
install(FILES ${JAR_FILE} DESTINATION ${JAR_INSTALL_DIR} COMPONENT main)
install(FILES ${JAR_FILE} DESTINATION ${JAR_INSTALL_DIR} COMPONENT java)
endif(ANDROID)
# step 5: build native part
@@ -353,17 +353,17 @@ endif()
if(ANDROID)
ocv_install_target(${the_module} EXPORT OpenCVModules
LIBRARY DESTINATION ${OPENCV_LIB_INSTALL_PATH} COMPONENT main
ARCHIVE DESTINATION ${OPENCV_LIB_INSTALL_PATH} COMPONENT main)
LIBRARY DESTINATION ${OPENCV_LIB_INSTALL_PATH} COMPONENT java
ARCHIVE DESTINATION ${OPENCV_LIB_INSTALL_PATH} COMPONENT java)
else()
if(NOT INSTALL_CREATE_DISTRIB)
ocv_install_target(${the_module} EXPORT OpenCVModules
RUNTIME DESTINATION ${JAR_INSTALL_DIR} COMPONENT main
LIBRARY DESTINATION ${JAR_INSTALL_DIR} COMPONENT main)
RUNTIME DESTINATION ${JAR_INSTALL_DIR} COMPONENT java
LIBRARY DESTINATION ${JAR_INSTALL_DIR} COMPONENT java)
else()
ocv_install_target(${the_module} EXPORT OpenCVModules
RUNTIME DESTINATION ${JAR_INSTALL_DIR}/${OpenCV_ARCH} COMPONENT main
LIBRARY DESTINATION ${JAR_INSTALL_DIR}/${OpenCV_ARCH} COMPONENT main)
RUNTIME DESTINATION ${JAR_INSTALL_DIR}/${OpenCV_ARCH} COMPONENT java
LIBRARY DESTINATION ${JAR_INSTALL_DIR}/${OpenCV_ARCH} COMPONENT java)
endif()
endif()
+6 -6
Ver Arquivo
@@ -108,17 +108,17 @@ endif()
if(WIN32)
set(PYTHON_INSTALL_ARCHIVE "")
else()
set(PYTHON_INSTALL_ARCHIVE ARCHIVE DESTINATION ${PYTHON_PACKAGES_PATH} COMPONENT main)
set(PYTHON_INSTALL_ARCHIVE ARCHIVE DESTINATION ${PYTHON_PACKAGES_PATH} COMPONENT python)
endif()
if(NOT INSTALL_CREATE_DISTRIB)
install(TARGETS ${the_module}
${PYTHON_INSTALL_CONFIGURATIONS}
RUNTIME DESTINATION ${PYTHON_PACKAGES_PATH} COMPONENT main
LIBRARY DESTINATION ${PYTHON_PACKAGES_PATH} COMPONENT main
RUNTIME DESTINATION ${PYTHON_PACKAGES_PATH} COMPONENT python
LIBRARY DESTINATION ${PYTHON_PACKAGES_PATH} COMPONENT python
${PYTHON_INSTALL_ARCHIVE}
)
install(FILES src2/cv.py ${PYTHON_INSTALL_CONFIGURATIONS} DESTINATION ${PYTHON_PACKAGES_PATH} COMPONENT main)
install(FILES src2/cv.py ${PYTHON_INSTALL_CONFIGURATIONS} DESTINATION ${PYTHON_PACKAGES_PATH} COMPONENT python)
else()
if(DEFINED PYTHON_VERSION_MAJOR)
set(__ver "${PYTHON_VERSION_MAJOR}.${PYTHON_VERSION_MINOR}")
@@ -127,7 +127,7 @@ else()
endif()
install(TARGETS ${the_module}
CONFIGURATIONS Release
RUNTIME DESTINATION python/${__ver}/${OpenCV_ARCH} COMPONENT main
LIBRARY DESTINATION python/${__ver}/${OpenCV_ARCH} COMPONENT main
RUNTIME DESTINATION python/${__ver}/${OpenCV_ARCH} COMPONENT python
LIBRARY DESTINATION python/${__ver}/${OpenCV_ARCH} COMPONENT python
)
endif()
+1 -1
Ver Arquivo
@@ -36,4 +36,4 @@ set_target_properties(${the_module} PROPERTIES
)
get_filename_component(lib_name "libopencv_info.so" NAME)
install(FILES "${LIBRARY_OUTPUT_PATH}/${lib_name}" DESTINATION ${OPENCV_LIB_INSTALL_PATH} COMPONENT main)
install(FILES "${LIBRARY_OUTPUT_PATH}/${lib_name}" DESTINATION ${OPENCV_LIB_INSTALL_PATH} COMPONENT libs)
+1 -1
Ver Arquivo
@@ -89,6 +89,6 @@ add_custom_command(
DEPENDS "${OpenCV_BINARY_DIR}/bin/classes.jar.dephelper" "${PACKAGE_DIR}/res/values/strings.xml" "${PACKAGE_DIR}/res/drawable/icon.png" ${camera_wrappers} opencv_java
)
install(FILES "${APK_NAME}" DESTINATION "apk/" COMPONENT main)
install(FILES "${APK_NAME}" DESTINATION "apk/" COMPONENT libs)
add_custom_target(android_package ALL SOURCES "${APK_NAME}" )
add_dependencies(android_package opencv_java)
+1 -1
Ver Arquivo
@@ -3,4 +3,4 @@ if(BUILD_ANDROID_SERVICE)
#add_subdirectory(engine_test)
endif()
install(FILES "readme.txt" DESTINATION "apk/" COMPONENT main)
install(FILES "readme.txt" DESTINATION "apk/" COMPONENT libs)
+3 -3
Ver Arquivo
@@ -39,7 +39,7 @@ if(BUILD_EXAMPLES AND OCV_DEPENDENCIES_FOUND)
set_target_properties(${the_target} PROPERTIES LINK_FLAGS "/NODEFAULTLIB:atlthunk.lib /NODEFAULTLIB:atlsd.lib /DEBUG")
endif()
install(TARGETS ${the_target}
RUNTIME DESTINATION "${OPENCV_SAMPLES_BIN_INSTALL_PATH}/c" COMPONENT main)
RUNTIME DESTINATION "${OPENCV_SAMPLES_BIN_INSTALL_PATH}/c" COMPONENT samples)
endif()
ENDMACRO()
@@ -54,6 +54,6 @@ endif()
if (INSTALL_C_EXAMPLES AND NOT WIN32)
file(GLOB C_SAMPLES *.c *.cpp *.jpg *.png *.data makefile.* build_all.sh *.dsp *.cmd )
install(FILES ${C_SAMPLES}
DESTINATION share/OpenCV/samples/c
PERMISSIONS OWNER_READ GROUP_READ WORLD_READ)
DESTINATION ${OPENCV_SAMPLES_SRC_INSTALL_PATH}/c
PERMISSIONS OWNER_READ GROUP_READ WORLD_READ COMPONENT samples)
endif ()
+3 -3
Ver Arquivo
@@ -68,7 +68,7 @@ if(BUILD_EXAMPLES AND OCV_DEPENDENCIES_FOUND)
set_target_properties(${the_target} PROPERTIES LINK_FLAGS "/NODEFAULTLIB:atlthunk.lib /NODEFAULTLIB:atlsd.lib /DEBUG")
endif()
install(TARGETS ${the_target}
RUNTIME DESTINATION "${OPENCV_SAMPLES_BIN_INSTALL_PATH}/${sample_subfolder}" COMPONENT main)
RUNTIME DESTINATION "${OPENCV_SAMPLES_BIN_INSTALL_PATH}/${sample_subfolder}" COMPONENT samples)
endif()
ENDMACRO()
@@ -91,6 +91,6 @@ endif()
if (INSTALL_C_EXAMPLES AND NOT WIN32)
file(GLOB C_SAMPLES *.c *.cpp *.jpg *.png *.data makefile.* build_all.sh *.dsp *.cmd )
install(FILES ${C_SAMPLES}
DESTINATION share/OpenCV/samples/cpp
PERMISSIONS OWNER_READ GROUP_READ WORLD_READ)
DESTINATION ${OPENCV_SAMPLES_SRC_INSTALL_PATH}/cpp
PERMISSIONS OWNER_READ GROUP_READ WORLD_READ COMPONENT samples)
endif()
+3 -3
Ver Arquivo
@@ -65,7 +65,7 @@ if(BUILD_EXAMPLES AND OCV_DEPENDENCIES_FOUND)
if(MSVC AND NOT BUILD_SHARED_LIBS)
set_target_properties(${the_target} PROPERTIES LINK_FLAGS "/NODEFAULTLIB:atlthunk.lib /NODEFAULTLIB:atlsd.lib /DEBUG")
endif()
install(TARGETS ${the_target} RUNTIME DESTINATION "${OPENCV_SAMPLES_BIN_INSTALL_PATH}/${project}" COMPONENT main)
install(TARGETS ${the_target} RUNTIME DESTINATION "${OPENCV_SAMPLES_BIN_INSTALL_PATH}/${project}" COMPONENT samples)
endif()
ENDMACRO()
@@ -83,6 +83,6 @@ endif()
if (INSTALL_C_EXAMPLES AND NOT WIN32)
file(GLOB install_list *.c *.cpp *.jpg *.png *.data makefile.* build_all.sh *.dsp *.cmd )
install(FILES ${install_list}
DESTINATION share/OpenCV/samples/${project}
PERMISSIONS OWNER_READ GROUP_READ WORLD_READ)
DESTINATION ${OPENCV_SAMPLES_SRC_INSTALL_PATH}/gpu
PERMISSIONS OWNER_READ GROUP_READ WORLD_READ COMPONENT samples)
endif()
+4 -3
Ver Arquivo
@@ -23,12 +23,13 @@ if(ENABLE_SOLUTION_FOLDERS)
endif()
if(WIN32)
install(TARGETS ${the_target} RUNTIME DESTINATION "${OPENCV_SAMPLES_BIN_INSTALL_PATH}/gpu" COMPONENT main)
install(TARGETS ${the_target} RUNTIME DESTINATION "${OPENCV_SAMPLES_BIN_INSTALL_PATH}/gpu" COMPONENT samples)
endif()
if(INSTALL_C_EXAMPLES AND NOT WIN32)
file(GLOB GPU_FILES performance/*.cpp performance/*.h)
install(FILES ${GPU_FILES}
DESTINATION share/OpenCV/samples/gpu/performance
PERMISSIONS OWNER_READ GROUP_READ WORLD_READ)
DESTINATION ${OPENCV_SAMPLES_SRC_INSTALL_PATH}/gpu/performance
PERMISSIONS OWNER_READ GROUP_READ WORLD_READ
COMPONENT samples)
endif()
+3 -3
Ver Arquivo
@@ -38,7 +38,7 @@ if(BUILD_EXAMPLES AND OCV_DEPENDENCIES_FOUND)
if(MSVC AND NOT BUILD_SHARED_LIBS)
set_target_properties(${the_target} PROPERTIES LINK_FLAGS "/NODEFAULTLIB:atlthunk.lib /NODEFAULTLIB:atlsd.lib /DEBUG")
endif()
install(TARGETS ${the_target} RUNTIME DESTINATION "${OPENCV_SAMPLES_BIN_INSTALL_PATH}/${project}" COMPONENT main)
install(TARGETS ${the_target} RUNTIME DESTINATION "${OPENCV_SAMPLES_BIN_INSTALL_PATH}/${project}" COMPONENT samples)
endif()
ENDMACRO()
@@ -54,6 +54,6 @@ endif()
if (INSTALL_C_EXAMPLES AND NOT WIN32)
file(GLOB install_list *.c *.cpp *.jpg *.png *.data makefile.* build_all.sh *.dsp *.cmd )
install(FILES ${install_list}
DESTINATION share/OpenCV/samples/${project}
PERMISSIONS OWNER_READ GROUP_READ WORLD_READ)
DESTINATION ${OPENCV_SAMPLES_SRC_INSTALL_PATH}/ocl
PERMISSIONS OWNER_READ GROUP_READ WORLD_READ COMPONENT samples)
endif()