Merge remote-tracking branch 'itseez/2.4' into feature/deterministic_pnpransac

pull/3588/head
Vijay Pradeep 10 years ago
commit 4ce31c7c1a
  1. 12
      CMakeLists.txt
  2. 4
      cmake/OpenCVCompilerOptions.cmake
  3. 18
      cmake/OpenCVFindLibsVideo.cmake
  4. 4
      cmake/OpenCVGenConfig.cmake
  5. 3
      cmake/OpenCVModule.cmake
  6. 52
      cmake/OpenCVPackaging.cmake
  7. 4
      cmake/templates/changelog.Debian.in
  8. 138
      cmake/templates/opencv_run_all_tests_unix.sh.in
  9. 2
      cmake/templates/opencv_testing.sh.in
  10. 27569
      data/haarcascades/haarcascade_eye.xml
  11. 55681
      data/haarcascades/haarcascade_eye_tree_eyeglasses.xml
  12. 50415
      data/haarcascades/haarcascade_frontalface_alt.xml
  13. 44173
      data/haarcascades/haarcascade_frontalface_alt2.xml
  14. 199879
      data/haarcascades/haarcascade_frontalface_alt_tree.xml
  15. 68930
      data/haarcascades/haarcascade_frontalface_default.xml
  16. 34864
      data/haarcascades/haarcascade_fullbody.xml
  17. 17095
      data/haarcascades/haarcascade_lefteye_2splits.xml
  18. 1404
      data/haarcascades/haarcascade_licence_plate_rus_16stages.xml
  19. 28857
      data/haarcascades/haarcascade_lowerbody.xml
  20. 61524
      data/haarcascades/haarcascade_profileface.xml
  21. 17142
      data/haarcascades/haarcascade_righteye_2splits.xml
  22. 2656
      data/haarcascades/haarcascade_russian_plate_number.xml
  23. 15082
      data/haarcascades/haarcascade_smile.xml
  24. 57617
      data/haarcascades/haarcascade_upperbody.xml
  25. 6
      doc/CMakeLists.txt
  26. 4
      doc/tutorials/imgproc/histograms/template_matching/template_matching.rst
  27. 4
      modules/contrib/include/opencv2/contrib/retina.hpp
  28. 2
      modules/core/include/opencv2/core/affine.hpp
  29. 36
      modules/flann/include/opencv2/flann/any.h
  30. 8
      modules/flann/include/opencv2/flann/miniflann.hpp
  31. 4
      modules/gpu/perf/perf_imgproc.cpp
  32. 12
      modules/gpu/test/test_imgproc.cpp
  33. 8
      modules/highgui/src/cap_ffmpeg_impl.hpp
  34. 2
      modules/highgui/src/cap_ximea.cpp
  35. 5
      modules/highgui/src/grfmt_tiff.cpp
  36. 2
      modules/highgui/src/window_QT.cpp
  37. 43
      modules/ts/include/opencv2/ts.hpp
  38. 42
      modules/ts/include/opencv2/ts/ts.hpp
  39. 42
      modules/ts/include/opencv2/ts/ts_perf.hpp
  40. 4
      modules/ts/src/ts_func.cpp
  41. 2
      platforms/android/README.android
  42. 7
      samples/CMakeLists.txt
  43. 4
      samples/c/CMakeLists.txt
  44. 24
      samples/c/latentsvmdetect.cpp
  45. 4
      samples/cpp/CMakeLists.txt
  46. 8
      samples/cpp/latentsvm_multidetect.cpp
  47. 33
      samples/gpu/CMakeLists.txt
  48. 1
      samples/gpu/brox_optical_flow.cpp
  49. 21
      samples/gpu/cascadeclassifier_nvidia_api.cpp
  50. 152
      samples/gpu/driver_api_multi.cpp
  51. 56
      samples/gpu/driver_api_stereo_multi.cpp
  52. 84
      samples/gpu/multi.cpp
  53. 11
      samples/gpu/opengl.cpp
  54. 14
      samples/gpu/opticalflow_nvidia_api.cpp
  55. 2
      samples/gpu/performance/CMakeLists.txt
  56. 1
      samples/gpu/pyrlk_optical_flow.cpp
  57. 4
      samples/ocl/CMakeLists.txt

@ -142,7 +142,7 @@ OCV_OPTION(WITH_NVCUVID "Include NVidia Video Decoding library support"
OCV_OPTION(WITH_EIGEN "Include Eigen2/Eigen3 support" ON)
OCV_OPTION(WITH_VFW "Include Video for Windows support" ON IF WIN32 )
OCV_OPTION(WITH_FFMPEG "Include FFMPEG support" ON IF (NOT ANDROID AND NOT IOS))
OCV_OPTION(WITH_GSTREAMER "Include Gstreamer support" ON IF (UNIX AND NOT APPLE AND NOT ANDROID) )
OCV_OPTION(WITH_GSTREAMER "Include Gstreamer support" ON IF (UNIX AND NOT ANDROID) )
OCV_OPTION(WITH_GSTREAMER_0_10 "Enable Gstreamer 0.10 support (instead of 1.x)" OFF )
OCV_OPTION(WITH_GTK "Include GTK support" ON IF (UNIX AND NOT APPLE AND NOT ANDROID) )
OCV_OPTION(WITH_IMAGEIO "ImageIO support for OS X" OFF IF APPLE )
@ -619,7 +619,7 @@ if(INSTALL_TESTS AND OPENCV_TEST_DATA_PATH AND UNIX)
configure_file("${CMAKE_CURRENT_SOURCE_DIR}/cmake/templates/opencv_run_all_tests_android.sh.in"
"${CMAKE_BINARY_DIR}/unix-install/opencv_run_all_tests.sh" @ONLY)
install(PROGRAMS "${CMAKE_BINARY_DIR}/unix-install/opencv_run_all_tests.sh"
DESTINATION ${CMAKE_INSTALL_PREFIX} COMPONENT tests)
DESTINATION . COMPONENT tests)
else()
set(OPENCV_PYTHON_TESTS_LIST "")
if(BUILD_opencv_python)
@ -627,10 +627,6 @@ if(INSTALL_TESTS AND OPENCV_TEST_DATA_PATH AND UNIX)
install(PROGRAMS ${py_tests} DESTINATION ${OPENCV_TEST_INSTALL_PATH} COMPONENT tests)
set(OPENCV_PYTHON_TESTS_LIST "test2.py")
endif()
configure_file("${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("${CMAKE_CURRENT_SOURCE_DIR}/cmake/templates/opencv_run_all_tests_unix.sh.in"
"${CMAKE_BINARY_DIR}/unix-install/opencv_run_all_tests.sh" @ONLY)
install(PROGRAMS "${CMAKE_BINARY_DIR}/unix-install/opencv_run_all_tests.sh"
@ -652,11 +648,11 @@ endif()
if(ANDROID OR NOT UNIX)
install(FILES ${OPENCV_LICENSE_FILE}
PERMISSIONS OWNER_READ GROUP_READ WORLD_READ
DESTINATION ${CMAKE_INSTALL_PREFIX} COMPONENT libs)
DESTINATION . COMPONENT libs)
if(OPENCV_README_FILE)
install(FILES ${OPENCV_README_FILE}
PERMISSIONS OWNER_READ GROUP_READ WORLD_READ
DESTINATION ${CMAKE_INSTALL_PREFIX} COMPONENT libs)
DESTINATION . COMPONENT libs)
endif()
endif()

@ -144,11 +144,11 @@ if(CMAKE_COMPILER_IS_GNUCXX)
# SSE3 and further should be disabled under MingW because it generates compiler errors
if(NOT MINGW)
if(ENABLE_AVX)
ocv_check_flag_support(CXX "-mavx" _varname)
add_extra_compiler_option("-mavx")
endif()
if(ENABLE_AVX2)
ocv_check_flag_support(CXX "-mavx2" _varname)
add_extra_compiler_option("-mavx2")
endif()
# GCC depresses SSEx instructions when -mavx is used. Instead, it generates new AVX instructions or AVX equivalence for all SSEx instructions when needed.

@ -13,7 +13,7 @@ endif(WITH_VFW)
# --- GStreamer ---
ocv_clear_vars(HAVE_GSTREAMER)
# try to find gstreamer 1.x first
if(WITH_GSTREAMER AND NOT WITH_GSTREAMER_0_10)
if(WITH_GSTREAMER)
CHECK_MODULE(gstreamer-base-1.0 HAVE_GSTREAMER_BASE)
CHECK_MODULE(gstreamer-video-1.0 HAVE_GSTREAMER_VIDEO)
CHECK_MODULE(gstreamer-app-1.0 HAVE_GSTREAMER_APP)
@ -29,10 +29,18 @@ if(WITH_GSTREAMER AND NOT WITH_GSTREAMER_0_10)
set(GSTREAMER_PBUTILS_VERSION ${ALIASOF_gstreamer-pbutils-1.0_VERSION})
endif()
endif(WITH_GSTREAMER AND NOT WITH_GSTREAMER_0_10)
endif(WITH_GSTREAMER)
# if gstreamer 1.x was not found, or we specified we wanted 0.10, try to find it
if(WITH_GSTREAMER_0_10 OR NOT HAVE_GSTREAMER)
# gstreamer support was requested but could not find gstreamer 1.x,
# so fallback/try to find gstreamer 0.10
if(WITH_GSTREAMER AND NOT HAVE_GSTREAMER)
set(WITH_GSTREAMER_0_10 ON)
endif()
# if gstreamer 1.x was not found (fallback on gstreamer 0.10), or we specified
# we wanted gstreamer 0.10 support,
# then try to find it if not gstreamer support has not been found so far.
if(WITH_GSTREAMER_0_10 AND NOT HAVE_GSTREAMER)
CHECK_MODULE(gstreamer-base-0.10 HAVE_GSTREAMER_BASE)
CHECK_MODULE(gstreamer-video-0.10 HAVE_GSTREAMER_VIDEO)
CHECK_MODULE(gstreamer-app-0.10 HAVE_GSTREAMER_APP)
@ -47,7 +55,7 @@ if(WITH_GSTREAMER_0_10 OR NOT HAVE_GSTREAMER)
set(GSTREAMER_RIFF_VERSION ${ALIASOF_gstreamer-riff-0.10_VERSION})
set(GSTREAMER_PBUTILS_VERSION ${ALIASOF_gstreamer-pbutils-0.10_VERSION})
endif()
endif(WITH_GSTREAMER_0_10 OR NOT HAVE_GSTREAMER)
endif(WITH_GSTREAMER_0_10 AND NOT HAVE_GSTREAMER)
# --- unicap ---
ocv_clear_vars(HAVE_UNICAP)

@ -140,6 +140,6 @@ if(WIN32)
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}" COMPONENT dev)
install(FILES "${OpenCV_SOURCE_DIR}/cmake/OpenCVConfig.cmake" DESTINATION "${CMAKE_INSTALL_PREFIX}/" COMPONENT dev)
install(FILES "${CMAKE_BINARY_DIR}/win-install/OpenCVConfig-version.cmake" DESTINATION "." COMPONENT dev)
install(FILES "${OpenCV_SOURCE_DIR}/cmake/OpenCVConfig.cmake" DESTINATION "." COMPONENT dev)
endif()

@ -106,7 +106,6 @@ endmacro()
# ocv_add_module(yaom INTERNAL opencv_core opencv_highgui opencv_flann OPTIONAL opencv_gpu)
macro(ocv_add_module _name)
string(TOLOWER "${_name}" name)
string(REGEX REPLACE "^opencv_" "" ${name} "${name}")
set(the_module opencv_${name})
# the first pass - collect modules info, the second pass - create targets
@ -894,7 +893,7 @@ function(ocv_add_samples)
file(GLOB sample_files "${samples_path}/*")
install(FILES ${sample_files}
DESTINATION ${OPENCV_SAMPLES_SRC_INSTALL_PATH}/${module_id}
PERMISSIONS OWNER_READ GROUP_READ WORLD_READ COMPONENT samples)
PERMISSIONS OWNER_WRITE OWNER_READ GROUP_READ WORLD_READ COMPONENT samples)
endif()
endfunction()

@ -14,7 +14,7 @@ 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 "${CMAKE_CURRENT_SOURCE_DIR}/LICENSE")
set(CPACK_PACKAGE_CONTACT "admin@opencv.org")
set(CPACK_PACKAGE_CONTACT "OpenCV Developers <admin@opencv.org>")
set(CPACK_PACKAGE_VERSION_MAJOR "${OPENCV_VERSION_MAJOR}")
set(CPACK_PACKAGE_VERSION_MINOR "${OPENCV_VERSION_MINOR}")
set(CPACK_PACKAGE_VERSION_PATCH "${OPENCV_VERSION_PATCH}")
@ -64,15 +64,15 @@ set(CPACK_DEBIAN_PACKAGE_HOMEPAGE "http://opencv.org")
#depencencies
set(CPACK_DEBIAN_PACKAGE_SHLIBDEPS TRUE)
set(CPACK_COMPONENT_samples_DEPENDS libs)
set(CPACK_COMPONENT_samples_DEPENDS libs dev)
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_DEB_python_PACKAGE_DEPENDS "python${PYTHON_VERSION_MAJOR_MINOR}")
set(CPACK_DEB_python_PACKAGE_DEPENDS "python-numpy (>=${PYTHON_NUMPY_VERSION}), python${PYTHON_VERSION_MAJOR_MINOR}")
set(CPACK_COMPONENT_tests_DEPENDS libs)
if (HAVE_opencv_python)
set(CPACK_DEB_tests_PACKAGE_DEPENDS "python${PYTHON_VERSION_MAJOR_MINOR}, python-py | python-pytest")
set(CPACK_DEB_tests_PACKAGE_DEPENDS "python-numpy (>=${PYTHON_NUMPY_VERSION}), python${PYTHON_VERSION_MAJOR_MINOR}, python-py | python-pytest")
endif()
if(HAVE_CUDA)
@ -97,31 +97,31 @@ if(HAVE_CUDA)
endif()
if(NOT OPENCV_CUSTOM_PACKAGE_INFO)
set(CPACK_COMPONENT_libs_DISPLAY_NAME "lib${CMAKE_PROJECT_NAME}")
set(CPACK_COMPONENT_libs_DISPLAY_NAME "libopencv")
set(CPACK_COMPONENT_libs_DESCRIPTION "Open Computer Vision Library")
set(CPACK_COMPONENT_libs_SECTION "libs")
set(CPACK_COMPONENT_python_DISPLAY_NAME "lib${CMAKE_PROJECT_NAME}-python")
set(CPACK_COMPONENT_python_DISPLAY_NAME "libopencv-python")
set(CPACK_COMPONENT_python_DESCRIPTION "Python bindings for Open Source Computer Vision Library")
set(CPACK_COMPONENT_python_SECTION "python")
set(CPACK_COMPONENT_java_DISPLAY_NAME "lib${CMAKE_PROJECT_NAME}-java")
set(CPACK_COMPONENT_java_DISPLAY_NAME "libopencv-java")
set(CPACK_COMPONENT_java_DESCRIPTION "Java bindings for Open Source Computer Vision Library")
set(CPACK_COMPONENT_java_SECTION "java")
set(CPACK_COMPONENT_dev_DISPLAY_NAME "lib${CMAKE_PROJECT_NAME}-dev")
set(CPACK_COMPONENT_dev_DISPLAY_NAME "libopencv-dev")
set(CPACK_COMPONENT_dev_DESCRIPTION "Development files for Open Source Computer Vision Library")
set(CPACK_COMPONENT_dev_SECTION "libdevel")
set(CPACK_COMPONENT_docs_DISPLAY_NAME "lib${CMAKE_PROJECT_NAME}-docs")
set(CPACK_COMPONENT_docs_DISPLAY_NAME "libopencv-docs")
set(CPACK_COMPONENT_docs_DESCRIPTION "Documentation for Open Source Computer Vision Library")
set(CPACK_COMPONENT_docs_SECTION "doc")
set(CPACK_COMPONENT_samples_DISPLAY_NAME "lib${CMAKE_PROJECT_NAME}-samples")
set(CPACK_COMPONENT_samples_DISPLAY_NAME "libopencv-samples")
set(CPACK_COMPONENT_samples_DESCRIPTION "Samples for Open Source Computer Vision Library")
set(CPACK_COMPONENT_samples_SECTION "devel")
set(CPACK_COMPONENT_tests_DISPLAY_NAME "lib${CMAKE_PROJECT_NAME}-tests")
set(CPACK_COMPONENT_tests_DISPLAY_NAME "libopencv-tests")
set(CPACK_COMPONENT_tests_DESCRIPTION "Accuracy and performance tests for Open Source Computer Vision Library")
set(CPACK_COMPONENT_tests_SECTION "misc")
endif(NOT OPENCV_CUSTOM_PACKAGE_INFO)
@ -135,6 +135,34 @@ if(NOT OPENCV_CUSTOM_PACKAGE_LAYOUT)
set(CPACK_samples_COMPONENT_INSTALL TRUE)
endif(NOT OPENCV_CUSTOM_PACKAGE_LAYOUT)
if(CPACK_GENERATOR STREQUAL "DEB")
find_program(GZIP_TOOL NAMES "gzip" PATHS "/bin" "/usr/bin" "/usr/local/bin")
if(NOT GZIP_TOOL)
message(FATAL_ERROR "Unable to find 'gzip' program")
endif()
execute_process(COMMAND "date" "-R"
OUTPUT_VARIABLE CHANGELOG_PACKAGE_DATE
OUTPUT_STRIP_TRAILING_WHITESPACE)
set(CHANGELOG_PACKAGE_VERSION "${CPACK_PACKAGE_VERSION}")
set(ALL_COMPONENTS "libs" "dev" "docs" "python" "java" "samples" "tests")
foreach (comp ${ALL_COMPONENTS})
set(DEBIAN_CHANGELOG_OUT_FILE "${CMAKE_BINARY_DIR}/deb-packages-gen/${comp}/changelog.Debian")
set(DEBIAN_CHANGELOG_OUT_FILE_GZ "${CMAKE_BINARY_DIR}/deb-packages-gen/${comp}/changelog.Debian.gz")
set(CHANGELOG_PACKAGE_NAME "${CPACK_COMPONENT_${comp}_DISPLAY_NAME}")
configure_file("${CMAKE_CURRENT_SOURCE_DIR}/cmake/templates/changelog.Debian.in" "${DEBIAN_CHANGELOG_OUT_FILE}" @ONLY)
execute_process(COMMAND "${GZIP_TOOL}" "-cf9" "${DEBIAN_CHANGELOG_OUT_FILE}"
OUTPUT_FILE "${DEBIAN_CHANGELOG_OUT_FILE_GZ}"
WORKING_DIRECTORY "${CMAKE_BINARY_DIR}")
install(FILES "${DEBIAN_CHANGELOG_OUT_FILE_GZ}"
DESTINATION "share/doc/${CPACK_COMPONENT_${comp}_DISPLAY_NAME}"
COMPONENT "${comp}")
endforeach()
endif()
include(CPack)
ENDif(EXISTS "${CMAKE_ROOT}/Modules/CPack.cmake")
ENDif(EXISTS "${CMAKE_ROOT}/Modules/CPack.cmake")

@ -0,0 +1,4 @@
@CHANGELOG_PACKAGE_NAME@ (@CPACK_PACKAGE_VERSION@) unstable; urgency=low
* Debian changelog stub. See upstream changelog or release notes in user
documentation for more details.
-- @CPACK_PACKAGE_CONTACT@ @CHANGELOG_PACKAGE_DATE@

@ -1,36 +1,142 @@
#!/bin/sh
#!/bin/bash
# Usage info
usage()
{
cat << EOF
usage: $0 [options]
This script runs the OpenCV tests on linux device.
OPTIONS:
-h Show this message
-c Color output
EOF
}
# Parse options
COLOR_OUTPUT=0
while getopts “hc” OPTION
do
case $OPTION in
h)
usage
exit 0
;;
c)
COLOR_OUTPUT=1
;;
?)
usage
exit 1
;;
esac
done
# Text style
if [ $COLOR_OUTPUT -eq 1 ]; then
TEXT_RED="$(tput setaf 1)"
TEXT_GREEN="$(tput setaf 2)"
TEXT_CYAN="$(tput setaf 6)"
TEXT_RESET="$(tput sgr0)"
else
TEXT_RED=""
TEXT_GREEN=""
TEXT_CYAN=""
TEXT_RESET=""
fi
# Test binaries and data paths
OPENCV_TEST_PATH=@CMAKE_INSTALL_PREFIX@/@OPENCV_TEST_INSTALL_PATH@
OPENCV_PYTHON_TESTS=@OPENCV_PYTHON_TESTS_LIST@
export OPENCV_TEST_DATA_PATH=@CMAKE_INSTALL_PREFIX@/share/OpenCV/testdata
# Run tests
SUMMARY_STATUS=0
FAILED_TESTS=""
PASSED_TESTS=""
for t in "$OPENCV_TEST_PATH/"opencv_test_* "$OPENCV_TEST_PATH/"opencv_perf_*;
do
report="`basename "$t"`-`date --rfc-3339=date`.xml"
"$t" --perf_min_samples=1 --perf_force_samples=1 --gtest_output=xml:"$report"
TEST_STATUS=$?
if [ $TEST_STATUS -ne 0 ]; then
SUMMARY_STATUS=$TEST_STATUS
fi
test_name=`basename "$t"`
report="$test_name-`date --rfc-3339=date`.xml"
cmd="$t --perf_min_samples=1 --perf_force_samples=1 --gtest_output=xml:\"$report\""
seg_reg="s/^/${TEXT_CYAN}[$test_name]${TEXT_RESET} /" # append test name
if [ $COLOR_OUTPUT -eq 1 ]; then
seg_reg="${seg_reg};s/\[==========\]/${TEXT_GREEN}&${TEXT_RESET}/g" # green for [==========]
seg_reg="${seg_reg};s/\[----------\]/${TEXT_GREEN}&${TEXT_RESET}/g" # green for [----------]
seg_reg="${seg_reg};s/\[ RUN \]/${TEXT_GREEN}&${TEXT_RESET}/g" # green for [ RUN ]
seg_reg="${seg_reg};s/\[ OK \]/${TEXT_GREEN}&${TEXT_RESET}/g" # green for [ OK ]
seg_reg="${seg_reg};s/\[ FAILED \]/${TEXT_RED}&${TEXT_RESET}/g" # red for [ FAILED ]
seg_reg="${seg_reg};s/\[ PASSED \]/${TEXT_GREEN}&${TEXT_RESET}/g" # green for [ PASSED ]
fi
echo "${TEXT_CYAN}[$test_name]${TEXT_RESET} RUN : $cmd"
$cmd | sed -r "$seg_reg"
ret=${PIPESTATUS[0]}
echo "${TEXT_CYAN}[$test_name]${TEXT_RESET} RETURN_CODE : $ret"
if [ $ret -ne 0 ]; then
echo "${TEXT_CYAN}[$test_name]${TEXT_RESET} ${TEXT_RED}FAILED${TEXT_RESET}"
SUMMARY_STATUS=1
FAILED_TESTS="$FAILED_TESTS $test_name"
else
echo "${TEXT_CYAN}[$test_name]${TEXT_RESET} ${TEXT_GREEN}OK${TEXT_RESET}"
PASSED_TESTS="$PASSED_TESTS $test_name"
fi
echo ""
done
for t in $OPENCV_PYTHON_TESTS;
do
report="`basename "$t"`-`date --rfc-3339=date`.xml"
py.test --junitxml $report "$OPENCV_TEST_PATH"/$t
TEST_STATUS=$?
if [ $TEST_STATUS -ne 0 ]; then
SUMMARY_STATUS=$TEST_STATUS
fi
test_name=`basename "$t"`
report="$test_name-`date --rfc-3339=date`.xml"
cmd="py.test --junitxml $report \"$OPENCV_TEST_PATH\"/$t"
seg_reg="s/^/${TEXT_CYAN}[$test_name]${TEXT_RESET} /" # append test name
echo "${TEXT_CYAN}[$test_name]${TEXT_RESET} RUN : $cmd"
eval "$cmd" | sed -r "$seg_reg"
ret=${PIPESTATUS[0]}
echo "${TEXT_CYAN}[$test_name]${TEXT_RESET} RETURN_CODE : $ret"
if [ $ret -ne 0 ]; then
echo "${TEXT_CYAN}[$test_name]${TEXT_RESET} ${TEXT_RED}FAILED${TEXT_RESET}"
SUMMARY_STATUS=1
FAILED_TESTS="$FAILED_TESTS $test_name"
else
echo "${TEXT_CYAN}[$test_name]${TEXT_RESET} ${TEXT_GREEN}OK${TEXT_RESET}"
PASSED_TESTS="$PASSED_TESTS $test_name"
fi
echo ""
done
# Remove temporary test files
rm -f /tmp/__opencv_temp.*
# Report final status
echo "${TEXT_CYAN}===============================================================${TEXT_RESET}"
echo "${TEXT_CYAN}PASSED TESTS : $PASSED_TESTS${TEXT_RESET}"
echo "${TEXT_CYAN}FAILED TESTS : $FAILED_TESTS${TEXT_RESET}"
if [ $SUMMARY_STATUS -eq 0 ]; then
echo "All OpenCV tests finished successfully"
echo "${TEXT_GREEN}STATUS : OK${TEXT_RESET}"
echo "${TEXT_GREEN}STATUS : All OpenCV tests finished successfully${TEXT_RESET}"
else
echo "OpenCV tests finished with status $SUMMARY_STATUS"
echo "${TEXT_RED}STATUS : FAIL${TEXT_RESET}"
echo "${TEXT_RED}STATUS : OpenCV tests finished with status $SUMMARY_STATUS${TEXT_RESET}"
fi
return $SUMMARY_STATUS
exit $SUMMARY_STATUS

@ -1,2 +0,0 @@
# Environment setup for OpenCV testing
export OPENCV_TEST_DATA_PATH=@CMAKE_INSTALL_PREFIX@/share/OpenCV/testdata

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@ -2,7 +2,11 @@
# CMake file for OpenCV docs
#-----------------------
set(HAVE_DOC_GENERATOR BUILD_DOCS AND (HAVE_SPHINX OR HAVE_DOXYGEN))
if(BUILD_DOCS AND (HAVE_SPHINX OR HAVE_DOXYGEN))
set(HAVE_DOC_GENERATOR TRUE)
else()
set(HAVE_DOC_GENERATOR FALSE)
endif()
if(HAVE_DOC_GENERATOR)
project(opencv_docs)

@ -185,7 +185,7 @@ Code
int result_cols = img.cols - templ.cols + 1;
int result_rows = img.rows - templ.rows + 1;
result.create( result_cols, result_rows, CV_32FC1 );
result.create( result_rows, result_cols, CV_32FC1 );
/// Do the Matching and Normalize
matchTemplate( img, templ, result, match_method );
@ -271,7 +271,7 @@ Explanation
int result_cols = img.cols - templ.cols + 1;
int result_rows = img.rows - templ.rows + 1;
result.create( result_cols, result_rows, CV_32FC1 );
result.create( result_rows, result_cols, CV_32FC1 );
#. Perform the template matching operation:

@ -241,7 +241,7 @@ public:
* @param HcellsSpatialConstant: the spatial constant of the first order low pass filter of the horizontal cells, use it to cut low spatial frequencies (local luminance), unit is pixels, typical value is 5 pixel, this value is also used for local contrast computing when computing the local contrast adaptation at the ganglion cells level (Inner Plexiform Layer parvocellular channel model)
* @param ganglionCellsSensitivity: the compression strengh of the ganglion cells local adaptation output, set a value between 160 and 250 for best results, a high value increases more the low value sensitivity... and the output saturates faster, recommended value: 230
*/
void setupOPLandIPLParvoChannel(const bool colorMode=true, const bool normaliseOutput = true, const float photoreceptorsLocalAdaptationSensitivity=0.7, const float photoreceptorsTemporalConstant=0.5, const float photoreceptorsSpatialConstant=0.53, const float horizontalCellsGain=0, const float HcellsTemporalConstant=1, const float HcellsSpatialConstant=7, const float ganglionCellsSensitivity=0.7);
void setupOPLandIPLParvoChannel(const bool colorMode=true, const bool normaliseOutput = true, const float photoreceptorsLocalAdaptationSensitivity=0.7f, const float photoreceptorsTemporalConstant=0.5f, const float photoreceptorsSpatialConstant=0.53f, const float horizontalCellsGain=0, const float HcellsTemporalConstant=1, const float HcellsSpatialConstant=7, const float ganglionCellsSensitivity=0.7f);
/**
* set parameters values for the Inner Plexiform Layer (IPL) magnocellular channel
@ -255,7 +255,7 @@ public:
* @param localAdaptintegration_tau: specifies the temporal constant of the low pas filter involved in the computation of the local "motion mean" for the local adaptation computation
* @param localAdaptintegration_k: specifies the spatial constant of the low pas filter involved in the computation of the local "motion mean" for the local adaptation computation
*/
void setupIPLMagnoChannel(const bool normaliseOutput = true, const float parasolCells_beta=0, const float parasolCells_tau=0, const float parasolCells_k=7, const float amacrinCellsTemporalCutFrequency=1.2, const float V0CompressionParameter=0.95, const float localAdaptintegration_tau=0, const float localAdaptintegration_k=7);
void setupIPLMagnoChannel(const bool normaliseOutput = true, const float parasolCells_beta=0, const float parasolCells_tau=0, const float parasolCells_k=7, const float amacrinCellsTemporalCutFrequency=1.2f, const float V0CompressionParameter=0.95f, const float localAdaptintegration_tau=0, const float localAdaptintegration_k=7);
/**
* method which allows retina to be applied on an input image, after run, encapsulated retina module is ready to deliver its outputs using dedicated acccessors, see getParvo and getMagno methods

@ -243,7 +243,7 @@ void cv::Affine3<T>::rotation(const Vec3& _rvec)
double c = std::cos(theta);
double s = std::sin(theta);
double c1 = 1. - c;
double itheta = theta ? 1./theta : 0.;
double itheta = (theta != 0) ? 1./theta : 0.;
rx *= itheta; ry *= itheta; rz *= itheta;

@ -150,13 +150,27 @@ SMALL_POLICY(bool);
#undef SMALL_POLICY
/// This function will return a different policy for each type.
template<typename T>
base_any_policy* get_policy()
template <typename T>
class SinglePolicy
{
SinglePolicy();
SinglePolicy(const SinglePolicy& other);
SinglePolicy& operator=(const SinglePolicy& other);
public:
static base_any_policy* get_policy();
private:
static typename choose_policy<T>::type policy;
return &policy;
}
};
template <typename T>
typename choose_policy<T>::type SinglePolicy<T>::policy;
/// This function will return a different policy for each type.
template <typename T>
inline base_any_policy* SinglePolicy<T>::get_policy() { return &policy; }
} // namespace anyimpl
struct any
@ -170,26 +184,26 @@ public:
/// Initializing constructor.
template <typename T>
any(const T& x)
: policy(anyimpl::get_policy<anyimpl::empty_any>()), object(NULL)
: policy(anyimpl::SinglePolicy<anyimpl::empty_any>::get_policy()), object(NULL)
{
assign(x);
}
/// Empty constructor.
any()
: policy(anyimpl::get_policy<anyimpl::empty_any>()), object(NULL)
: policy(anyimpl::SinglePolicy<anyimpl::empty_any>::get_policy()), object(NULL)
{ }
/// Special initializing constructor for string literals.
any(const char* x)
: policy(anyimpl::get_policy<anyimpl::empty_any>()), object(NULL)
: policy(anyimpl::SinglePolicy<anyimpl::empty_any>::get_policy()), object(NULL)
{
assign(x);
}
/// Copy constructor.
any(const any& x)
: policy(anyimpl::get_policy<anyimpl::empty_any>()), object(NULL)
: policy(anyimpl::SinglePolicy<anyimpl::empty_any>::get_policy()), object(NULL)
{
assign(x);
}
@ -214,7 +228,7 @@ public:
any& assign(const T& x)
{
reset();
policy = anyimpl::get_policy<T>();
policy = anyimpl::SinglePolicy<T>::get_policy();
policy->copy_from_value(&x, &object);
return *this;
}
@ -269,7 +283,7 @@ public:
void reset()
{
policy->static_delete(&object);
policy = anyimpl::get_policy<anyimpl::empty_any>();
policy = anyimpl::SinglePolicy<anyimpl::empty_any>::get_policy();
}
/// Returns true if the two types are the same.

@ -91,13 +91,13 @@ struct CV_EXPORTS LinearIndexParams : public IndexParams
struct CV_EXPORTS CompositeIndexParams : public IndexParams
{
CompositeIndexParams(int trees = 4, int branching = 32, int iterations = 11,
cvflann::flann_centers_init_t centers_init = cvflann::FLANN_CENTERS_RANDOM, float cb_index = 0.2 );
cvflann::flann_centers_init_t centers_init = cvflann::FLANN_CENTERS_RANDOM, float cb_index = 0.2f );
};
struct CV_EXPORTS AutotunedIndexParams : public IndexParams
{
AutotunedIndexParams(float target_precision = 0.8, float build_weight = 0.01,
float memory_weight = 0, float sample_fraction = 0.1);
AutotunedIndexParams(float target_precision = 0.8f, float build_weight = 0.01f,
float memory_weight = 0, float sample_fraction = 0.1f);
};
struct CV_EXPORTS HierarchicalClusteringIndexParams : public IndexParams
@ -109,7 +109,7 @@ struct CV_EXPORTS HierarchicalClusteringIndexParams : public IndexParams
struct CV_EXPORTS KMeansIndexParams : public IndexParams
{
KMeansIndexParams(int branching = 32, int iterations = 11,
cvflann::flann_centers_init_t centers_init = cvflann::FLANN_CENTERS_RANDOM, float cb_index = 0.2 );
cvflann::flann_centers_init_t centers_init = cvflann::FLANN_CENTERS_RANDOM, float cb_index = 0.2f );
};
struct CV_EXPORTS LshIndexParams : public IndexParams

@ -908,7 +908,7 @@ CV_ENUM(TemplateMethod, TM_SQDIFF, TM_SQDIFF_NORMED, TM_CCORR, TM_CCORR_NORMED,
DEF_PARAM_TEST(Sz_TemplateSz_Cn_Method, cv::Size, cv::Size, MatCn, TemplateMethod);
PERF_TEST_P(Sz_TemplateSz_Cn_Method, ImgProc_MatchTemplate8U,
PERF_TEST_P(Sz_TemplateSz_Cn_Method, DISABLED_ImgProc_MatchTemplate8U,
Combine(GPU_TYPICAL_MAT_SIZES,
Values(cv::Size(5, 5), cv::Size(16, 16), cv::Size(30, 30)),
GPU_CHANNELS_1_3_4,
@ -948,7 +948,7 @@ PERF_TEST_P(Sz_TemplateSz_Cn_Method, ImgProc_MatchTemplate8U,
////////////////////////////////////////////////////////////////////////////////
// MatchTemplate32F
PERF_TEST_P(Sz_TemplateSz_Cn_Method, ImgProc_MatchTemplate32F,
PERF_TEST_P(Sz_TemplateSz_Cn_Method, DISABLED_ImgProc_MatchTemplate32F,
Combine(GPU_TYPICAL_MAT_SIZES,
Values(cv::Size(5, 5), cv::Size(16, 16), cv::Size(30, 30)),
GPU_CHANNELS_1_3_4,

@ -681,7 +681,7 @@ PARAM_TEST_CASE(MatchTemplate8U, cv::gpu::DeviceInfo, cv::Size, TemplateSize, Ch
}
};
GPU_TEST_P(MatchTemplate8U, Accuracy)
GPU_TEST_P(MatchTemplate8U, DISABLED_Accuracy)
{
cv::Mat image = randomMat(size, CV_MAKETYPE(CV_8U, cn));
cv::Mat templ = randomMat(templ_size, CV_MAKETYPE(CV_8U, cn));
@ -738,7 +738,7 @@ PARAM_TEST_CASE(MatchTemplate32F, cv::gpu::DeviceInfo, cv::Size, TemplateSize, C
}
};
GPU_TEST_P(MatchTemplate32F, Regression)
GPU_TEST_P(MatchTemplate32F, DISABLED_Regression)
{
cv::Mat image = randomMat(size, CV_MAKETYPE(CV_32F, cn));
cv::Mat templ = randomMat(templ_size, CV_MAKETYPE(CV_32F, cn));
@ -787,7 +787,7 @@ PARAM_TEST_CASE(MatchTemplateBlackSource, cv::gpu::DeviceInfo, TemplateMethod)
}
};
GPU_TEST_P(MatchTemplateBlackSource, Accuracy)
GPU_TEST_P(MatchTemplateBlackSource, DISABLED_Accuracy)
{
cv::Mat image = readImage("matchtemplate/black.png");
ASSERT_FALSE(image.empty());
@ -832,7 +832,7 @@ PARAM_TEST_CASE(MatchTemplate_CCOEF_NORMED, cv::gpu::DeviceInfo, std::pair<std::
}
};
GPU_TEST_P(MatchTemplate_CCOEF_NORMED, Accuracy)
GPU_TEST_P(MatchTemplate_CCOEF_NORMED, DISABLED_Accuracy)
{
cv::Mat image = readImage(imageName);
ASSERT_FALSE(image.empty());
@ -881,7 +881,7 @@ struct MatchTemplate_CanFindBigTemplate : testing::TestWithParam<cv::gpu::Device
}
};
GPU_TEST_P(MatchTemplate_CanFindBigTemplate, SQDIFF_NORMED)
GPU_TEST_P(MatchTemplate_CanFindBigTemplate, DISABLED_SQDIFF_NORMED)
{
cv::Mat scene = readImage("matchtemplate/scene.png");
ASSERT_FALSE(scene.empty());
@ -904,7 +904,7 @@ GPU_TEST_P(MatchTemplate_CanFindBigTemplate, SQDIFF_NORMED)
ASSERT_EQ(0, minLoc.y);
}
GPU_TEST_P(MatchTemplate_CanFindBigTemplate, SQDIFF)
GPU_TEST_P(MatchTemplate_CanFindBigTemplate, DISABLED_SQDIFF)
{
cv::Mat scene = readImage("matchtemplate/scene.png");
ASSERT_FALSE(scene.empty());

@ -300,7 +300,15 @@ void CvCapture_FFMPEG::close()
}
if( picture )
{
// FFmpeg and Libav added avcodec_free_frame in different versions.
#if LIBAVCODEC_BUILD >= (LIBAVCODEC_VERSION_MICRO >= 100 \
? CALC_FFMPEG_VERSION(54, 59, 100) : CALC_FFMPEG_VERSION(54, 28, 0))
avcodec_free_frame(&picture);
#else
av_free(picture);
#endif
}
if( video_st )
{

@ -204,7 +204,7 @@ void CvCaptureCAM_XIMEA::resetCvImage()
xiGetParamInt( hmv, XI_PRM_HEIGHT, &height);
xiGetParamInt( hmv, XI_PRM_IMAGE_DATA_FORMAT, &format);
if( (int)image.width != width || (int)image.height != height || image.frm != (XI_IMG_FORMAT)format)
if( (int)image.width != frame->width || (int)image.height != frame->height || image.frm != (XI_IMG_FORMAT)format)
{
if(frame) cvReleaseImage(&frame);
frame = NULL;

@ -50,9 +50,8 @@
#include "precomp.hpp"
#include "grfmt_tiff.hpp"
#if !defined _MSC_VER && !defined __BORLANDC__
# include <stdint.h>
#endif
#define int64 int64_tiff
#define uint64 uint64_tiff
#ifdef HAVE_TIFF
# include "tiff.h"

@ -117,7 +117,7 @@ CV_IMPL void cvAddText(const CvArr* img, const char* text, CvPoint org, CvFont*
"putText",
autoBlockingConnection(),
Q_ARG(void*, (void*) img),
Q_ARG(QString,QString(text)),
Q_ARG(QString,QString::fromUtf8(text)),
Q_ARG(QPoint, QPoint(org.x,org.y)),
Q_ARG(void*,(void*) font));
}

@ -0,0 +1,43 @@
/*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 "opencv2/ts/ts.hpp"

@ -1,3 +1,45 @@
/*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*/
#ifndef __OPENCV_GTESTCV_HPP__
#define __OPENCV_GTESTCV_HPP__

@ -1,3 +1,45 @@
/*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*/
#ifndef __OPENCV_TS_PERF_HPP__
#define __OPENCV_TS_PERF_HPP__

@ -3002,8 +3002,12 @@ void printVersionInfo(bool useStdOut)
#if CV_SSE4_2
if (checkHardwareSupport(CV_CPU_SSE4_2)) cpu_features += " sse4.2";
#endif
#if CV_AVX
if (checkHardwareSupport(CV_CPU_AVX)) cpu_features += " avx";
#endif
#if CV_AVX2
if (checkHardwareSupport(CV_CPU_AVX2)) cpu_features += " avx2";
#endif
#if CV_NEON
cpu_features += " neon"; // NEON is currently not checked at runtime
#endif

@ -1 +1 @@
See http://opencv.org/android
See http://opencv.org/platforms/android.html

@ -19,6 +19,11 @@ if(ANDROID AND BUILD_ANDROID_EXAMPLES)
add_subdirectory(android)
endif()
if(INSTALL_C_EXAMPLES)
install(FILES "CMakeLists.txt"
DESTINATION ${OPENCV_SAMPLES_SRC_INSTALL_PATH}
PERMISSIONS OWNER_READ GROUP_READ WORLD_READ COMPONENT samples)
endif()
#
# END OF BUILD CASE 1: Build samples with library sources
@ -60,7 +65,7 @@ endif()
add_subdirectory(c)
add_subdirectory(cpp)
add_subdirectory(ocl)
# FIXIT: can't use cvconfig.h in samples: add_subdirectory(gpu)
add_subdirectory(gpu)
#
# END OF BUILD CASE 2: Build samples with library binaries

@ -51,8 +51,8 @@ if(BUILD_EXAMPLES AND OCV_DEPENDENCIES_FOUND)
endforeach()
endif()
if (INSTALL_C_EXAMPLES AND NOT WIN32)
file(GLOB C_SAMPLES *.c *.cpp *.jpg *.png *.data makefile.* build_all.sh *.dsp *.cmd )
if (OCV_DEPENDENCIES_FOUND AND INSTALL_C_EXAMPLES AND NOT WIN32)
file(GLOB C_SAMPLES *.c *.cpp *.jpg *.png *.data makefile.* build_all.sh *.dsp *.cmd *.txt)
install(FILES ${C_SAMPLES}
DESTINATION ${OPENCV_SAMPLES_SRC_INSTALL_PATH}/c
PERMISSIONS OWNER_READ GROUP_READ WORLD_READ COMPONENT samples)

@ -2,13 +2,6 @@
#include "opencv2/highgui/highgui.hpp"
#include <stdio.h>
#ifdef HAVE_CVCONFIG_H
#include <cvconfig.h>
#endif
#ifdef HAVE_TBB
#include "tbb/task_scheduler_init.h"
#endif
using namespace cv;
static void help()
@ -31,28 +24,13 @@ static void detect_and_draw_objects( IplImage* image, CvLatentSvmDetector* detec
CvSeq* detections = 0;
int i = 0;
int64 start = 0, finish = 0;
#ifdef HAVE_TBB
tbb::task_scheduler_init init(tbb::task_scheduler_init::deferred);
if (numThreads > 0)
{
init.initialize(numThreads);
printf("Number of threads %i\n", numThreads);
}
else
{
printf("Number of threads is not correct for TBB version");
return;
}
#endif
cv::setNumThreads(numThreads);
start = cvGetTickCount();
detections = cvLatentSvmDetectObjects(image, detector, storage, 0.5f, numThreads);
finish = cvGetTickCount();
printf("detection time = %.3f\n", (float)(finish - start) / (float)(cvGetTickFrequency() * 1000000.0));
#ifdef HAVE_TBB
init.terminate();
#endif
for( i = 0; i < detections->total; i++ )
{
CvObjectDetection detection = *(CvObjectDetection*)cvGetSeqElem( detections, i );

@ -90,8 +90,8 @@ if(BUILD_EXAMPLES AND OCV_DEPENDENCIES_FOUND)
endforeach()
endif()
if (INSTALL_C_EXAMPLES AND NOT WIN32)
file(GLOB C_SAMPLES *.c *.cpp *.jpg *.png *.data makefile.* build_all.sh *.dsp *.cmd )
if (OCV_DEPENDENCIES_FOUND AND INSTALL_C_EXAMPLES AND NOT WIN32)
file(GLOB C_SAMPLES *.c *.cpp *.jpg *.png *.data makefile.* build_all.sh *.dsp *.cmd *.txt)
install(FILES ${C_SAMPLES}
DESTINATION ${OPENCV_SAMPLES_SRC_INSTALL_PATH}/cpp
PERMISSIONS OWNER_READ GROUP_READ WORLD_READ COMPONENT samples)

@ -9,14 +9,6 @@
#include <dirent.h>
#endif
#ifdef HAVE_CVCONFIG_H
#include <cvconfig.h>
#endif
#ifdef HAVE_TBB
#include "tbb/task_scheduler_init.h"
#endif
using namespace std;
using namespace cv;

@ -69,8 +69,28 @@ if(BUILD_EXAMPLES AND OCV_DEPENDENCIES_FOUND)
endif()
ENDMACRO()
# remove all matching elements from the list
MACRO(list_filterout lst regex)
foreach(item ${${lst}})
if(item MATCHES "${regex}")
list(REMOVE_ITEM ${lst} "${item}")
endif()
endforeach()
ENDMACRO()
file(GLOB all_samples RELATIVE ${CMAKE_CURRENT_SOURCE_DIR} *.cpp)
if(NOT HAVE_OPENGL)
list(REMOVE_ITEM all_samples "opengl.cpp")
endif()
if(NOT HAVE_CUDA)
list(REMOVE_ITEM all_samples "opticalflow_nvidia_api.cpp")
list(REMOVE_ITEM all_samples "cascadeclassifier_nvidia_api.cpp")
list(REMOVE_ITEM all_samples "driver_api_multi.cpp")
list(REMOVE_ITEM all_samples "driver_api_stereo_multi.cpp")
endif()
foreach(sample_filename ${all_samples})
get_filename_component(sample ${sample_filename} NAME_WE)
file(GLOB sample_srcs RELATIVE ${CMAKE_CURRENT_SOURCE_DIR} ${sample}.*)
@ -80,8 +100,17 @@ if(BUILD_EXAMPLES AND OCV_DEPENDENCIES_FOUND)
include("performance/CMakeLists.txt")
endif()
if (INSTALL_C_EXAMPLES AND NOT WIN32)
file(GLOB install_list *.c *.cpp *.jpg *.png *.data makefile.* build_all.sh *.dsp *.cmd )
if (OCV_DEPENDENCIES_FOUND AND INSTALL_C_EXAMPLES AND NOT WIN32)
file(GLOB install_list *.c *.cpp *.jpg *.png *.data makefile.* build_all.sh *.dsp *.cmd *.txt)
if(NOT HAVE_OPENGL)
list_filterout(install_list ".*opengl.cpp")
endif()
if(NOT HAVE_CUDA)
list_filterout(install_list ".*opticalflow_nvidia_api.cpp")
list_filterout(install_list ".*cascadeclassifier_nvidia_api.cpp")
list_filterout(install_list ".*driver_api_multi.cpp")
list_filterout(install_list ".*driver_api_stereo_multi.cpp")
endif()
install(FILES ${install_list}
DESTINATION ${OPENCV_SAMPLES_SRC_INSTALL_PATH}/gpu
PERMISSIONS OWNER_READ GROUP_READ WORLD_READ COMPONENT samples)

@ -3,7 +3,6 @@
#include <string>
#include <ctype.h>
#include "cvconfig.h"
#include "opencv2/core/core.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/gpu/gpu.hpp"

@ -2,39 +2,24 @@
#pragma warning( disable : 4201 4408 4127 4100)
#endif
#include "cvconfig.h"
#include <iostream>
#include <iomanip>
#include <cstdio>
#include "opencv2/gpu/gpu.hpp"
#include "opencv2/highgui/highgui.hpp"
#ifdef HAVE_CUDA
#include "NCVHaarObjectDetection.hpp"
#endif
using namespace std;
using namespace cv;
#if !defined(HAVE_CUDA) || defined(__arm__)
int main( int, const char** )
{
#if !defined(HAVE_CUDA)
std::cout << "CUDA support is required (CMake key 'WITH_CUDA' must be true)." << std::endl;
#endif
#if defined(__arm__)
int main()
{
std::cout << "Unsupported for ARM CUDA library." << std::endl;
#endif
return 0;
}
#else
const Size2i preferredVideoFrameSize(640, 480);
const string wndTitle = "NVIDIA Computer Vision :: Haar Classifiers Cascade";
@ -386,4 +371,4 @@ int main(int argc, const char** argv)
return 0;
}
#endif //!defined(HAVE_CUDA)
#endif

@ -7,56 +7,101 @@
#endif
#include <iostream>
#include "cvconfig.h"
#include "opencv2/core/core.hpp"
#include "opencv2/gpu/gpu.hpp"
#if !defined(HAVE_CUDA) || !defined(HAVE_TBB) || defined(__arm__)
#if defined(__arm__)
int main()
{
#if !defined(HAVE_CUDA)
std::cout << "CUDA support is required (CMake key 'WITH_CUDA' must be true).\n";
#endif
#if !defined(HAVE_TBB)
std::cout << "TBB support is required (CMake key 'WITH_TBB' must be true).\n";
#endif
#if defined(__arm__)
std::cout << "Unsupported for ARM CUDA library." << std::endl;
#endif
return 0;
}
#else
#include <cuda.h>
#include <cuda_runtime.h>
#include "opencv2/core/internal.hpp" // For TBB wrappers
using namespace std;
using namespace cv;
using namespace cv::gpu;
struct Worker { void operator()(int device_id) const; };
void destroyContexts();
#define safeCall(expr) safeCall_(expr, #expr, __FILE__, __LINE__)
inline void safeCall_(int code, const char* expr, const char* file, int line)
{
if (code != CUDA_SUCCESS)
{
std::cout << "CUDA driver API error: code " << code << ", expr " << expr
<< ", file " << file << ", line " << line << endl;
destroyContexts();
<< ", file " << file << ", line " << line << endl;
exit(-1);
}
}
// Each GPU is associated with its own context
CUcontext contexts[2];
struct Worker: public ParallelLoopBody
{
Worker(int num_devices)
{
count = num_devices;
contexts = new CUcontext[num_devices];
for (int device_id = 0; device_id < num_devices; device_id++)
{
CUdevice device;
safeCall(cuDeviceGet(&device, device_id));
safeCall(cuCtxCreate(&contexts[device_id], 0, device));
}
}
virtual void operator() (const Range& range) const
{
for (int device_id = range.start; device_id != range.end; ++device_id)
{
// Set the proper context
safeCall(cuCtxPushCurrent(contexts[device_id]));
Mat src(1000, 1000, CV_32F);
Mat dst;
RNG rng(0);
rng.fill(src, RNG::UNIFORM, 0, 1);
// CPU works
transpose(src, dst);
// GPU works
GpuMat d_src(src);
GpuMat d_dst;
transpose(d_src, d_dst);
// Check results
bool passed = norm(dst - Mat(d_dst), NORM_INF) < 1e-3;
std::cout << "GPU #" << device_id << " (" << DeviceInfo().name() << "): "
<< (passed ? "passed" : "FAILED") << endl;
// Deallocate data here, otherwise deallocation will be performed
// after context is extracted from the stack
d_src.release();
d_dst.release();
CUcontext prev_context;
safeCall(cuCtxPopCurrent(&prev_context));
}
}
~Worker()
{
if ((contexts != NULL) && count != 0)
{
for (int device_id = 0; device_id < count; device_id++)
{
safeCall(cuCtxDestroy(contexts[device_id]));
}
delete[] contexts;
}
}
CUcontext* contexts;
int count;
};
int main()
{
@ -84,67 +129,10 @@ int main()
// Init CUDA Driver API
safeCall(cuInit(0));
// Create context for GPU #0
CUdevice device;
safeCall(cuDeviceGet(&device, 0));
safeCall(cuCtxCreate(&contexts[0], 0, device));
CUcontext prev_context;
safeCall(cuCtxPopCurrent(&prev_context));
// Create context for GPU #1
safeCall(cuDeviceGet(&device, 1));
safeCall(cuCtxCreate(&contexts[1], 0, device));
safeCall(cuCtxPopCurrent(&prev_context));
// Execute calculation
parallel_for_(cv::Range(0, num_devices), Worker(num_devices));
// Execute calculation in two threads using two GPUs
int devices[] = {0, 1};
parallel_do(devices, devices + 2, Worker());
destroyContexts();
return 0;
}
void Worker::operator()(int device_id) const
{
// Set the proper context
safeCall(cuCtxPushCurrent(contexts[device_id]));
Mat src(1000, 1000, CV_32F);
Mat dst;
RNG rng(0);
rng.fill(src, RNG::UNIFORM, 0, 1);
// CPU works
transpose(src, dst);
// GPU works
GpuMat d_src(src);
GpuMat d_dst;
transpose(d_src, d_dst);
// Check results
bool passed = norm(dst - Mat(d_dst), NORM_INF) < 1e-3;
std::cout << "GPU #" << device_id << " (" << DeviceInfo().name() << "): "
<< (passed ? "passed" : "FAILED") << endl;
// Deallocate data here, otherwise deallocation will be performed
// after context is extracted from the stack
d_src.release();
d_dst.release();
CUcontext prev_context;
safeCall(cuCtxPopCurrent(&prev_context));
}
void destroyContexts()
{
safeCall(cuCtxDestroy(contexts[0]));
safeCall(cuCtxDestroy(contexts[1]));
}
#endif

@ -8,30 +8,16 @@
#endif
#include <iostream>
#include "cvconfig.h"
#include "opencv2/core/core.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/gpu/gpu.hpp"
#if !defined(HAVE_CUDA) || !defined(HAVE_TBB) || defined(__arm__)
#if defined(__arm__)
int main()
{
#if !defined(HAVE_CUDA)
std::cout << "CUDA support is required (CMake key 'WITH_CUDA' must be true).\n";
#endif
#if !defined(HAVE_TBB)
std::cout << "TBB support is required (CMake key 'WITH_TBB' must be true).\n";
#endif
#if defined(__arm__)
std::cout << "Unsupported for ARM CUDA library." << std::endl;
#endif
return 0;
}
#else
#include <cuda.h>
@ -42,7 +28,6 @@ using namespace std;
using namespace cv;
using namespace cv::gpu;
struct Worker { void operator()(int device_id) const; };
void destroyContexts();
#define safeCall(expr) safeCall_(expr, #expr, __FILE__, __LINE__)
@ -77,6 +62,27 @@ GpuMat d_right[2];
StereoBM_GPU* bm[2];
GpuMat d_result[2];
struct Worker: public ParallelLoopBody
{
virtual void operator() (const Range& range) const
{
for (int device_id = range.start; device_id != range.end; ++device_id)
{
contextOn(device_id);
bm[device_id]->operator()(d_left[device_id], d_right[device_id],
d_result[device_id]);
std::cout << "GPU #" << device_id << " (" << DeviceInfo().name()
<< "): finished\n";
contextOff();
}
}
};
static void printHelp()
{
std::cout << "Usage: driver_api_stereo_multi_gpu --left <left_image> --right <right_image>\n";
@ -162,8 +168,7 @@ int main(int argc, char** argv)
contextOff();
// Execute calculation in two threads using two GPUs
int devices[] = {0, 1};
parallel_do(devices, devices + 2, Worker());
parallel_for_(cv::Range(0, 2), Worker());
// Release the first GPU resources
contextOn(0);
@ -188,21 +193,6 @@ int main(int argc, char** argv)
return 0;
}
void Worker::operator()(int device_id) const
{
contextOn(device_id);
bm[device_id]->operator()(d_left[device_id], d_right[device_id],
d_result[device_id]);
std::cout << "GPU #" << device_id << " (" << DeviceInfo().name()
<< "): finished\n";
contextOff();
}
void destroyContexts()
{
safeCall(cuCtxDestroy(contexts[0]));

@ -7,34 +7,47 @@
#endif
#include <iostream>
#include "cvconfig.h"
#include "opencv2/core/core.hpp"
#include "opencv2/gpu/gpu.hpp"
#if !defined(HAVE_CUDA) || !defined(HAVE_TBB)
using namespace std;
using namespace cv;
using namespace cv::gpu;
int main()
struct Worker: public ParallelLoopBody
{
#if !defined(HAVE_CUDA)
std::cout << "CUDA support is required (CMake key 'WITH_CUDA' must be true).\n";
#endif
virtual void operator() (const Range& range) const
{
for (int device_id = range.start; device_id != range.end; ++device_id)
{
setDevice(device_id);
#if !defined(HAVE_TBB)
std::cout << "TBB support is required (CMake key 'WITH_TBB' must be true).\n";
#endif
Mat src(1000, 1000, CV_32F);
Mat dst;
return 0;
}
RNG rng(0);
rng.fill(src, RNG::UNIFORM, 0, 1);
#else
// CPU works
transpose(src, dst);
#include "opencv2/core/internal.hpp" // For TBB wrappers
// GPU works
GpuMat d_src(src);
GpuMat d_dst;
transpose(d_src, d_dst);
using namespace std;
using namespace cv;
using namespace cv::gpu;
// Check results
bool passed = norm(dst - Mat(d_dst), NORM_INF) < 1e-3;
std::cout << "GPU #" << device_id << " (" << DeviceInfo().name() << "): "
<< (passed ? "passed" : "FAILED") << endl;
struct Worker { void operator()(int device_id) const; };
// Deallocate data here, otherwise deallocation will be performed
// after context is extracted from the stack
d_src.release();
d_dst.release();
}
}
};
int main()
{
@ -58,41 +71,8 @@ int main()
}
}
// Execute calculation in two threads using two GPUs
int devices[] = {0, 1};
parallel_do(devices, devices + 2, Worker());
// Execute calculation in several threads, 1 GPU per thread
parallel_for_(cv::Range(0, num_devices), Worker());
return 0;
}
void Worker::operator()(int device_id) const
{
setDevice(device_id);
Mat src(1000, 1000, CV_32F);
Mat dst;
RNG rng(0);
rng.fill(src, RNG::UNIFORM, 0, 1);
// CPU works
transpose(src, dst);
// GPU works
GpuMat d_src(src);
GpuMat d_dst;
transpose(d_src, d_dst);
// Check results
bool passed = norm(dst - Mat(d_dst), NORM_INF) < 1e-3;
std::cout << "GPU #" << device_id << " (" << DeviceInfo().name() << "): "
<< (passed ? "passed" : "FAILED") << endl;
// Deallocate data here, otherwise deallocation will be performed
// after context is extracted from the stack
d_src.release();
d_dst.release();
}
#endif

@ -1,13 +1,4 @@
#include <iostream>
#include "cvconfig.h"
#ifndef HAVE_OPENGL
int main()
{
std::cerr << "Library was built without OpenGL support" << std::endl;
return -1;
}
#else
#ifdef WIN32
#define WIN32_LEAN_AND_MEAN 1
@ -118,5 +109,3 @@ int main(int argc, char* argv[])
return 0;
}
#endif

@ -9,26 +9,14 @@
#include <ctime>
#include <ctype.h>
#include "cvconfig.h"
#include <iostream>
#include <iomanip>
#include "opencv2/gpu/gpu.hpp"
#include "opencv2/highgui/highgui.hpp"
#ifdef HAVE_CUDA
#include "NPP_staging/NPP_staging.hpp"
#include "NCVBroxOpticalFlow.hpp"
#endif
#if !defined(HAVE_CUDA)
int main( int, const char** )
{
std::cout << "Please compile the library with CUDA support" << std::endl;
return -1;
}
#else
//using std::tr1::shared_ptr;
using cv::Ptr;
#define PARAM_LEFT "--left"
@ -649,5 +637,3 @@ int main(int argc, char **argv)
return 0;
}
#endif

@ -27,7 +27,7 @@ if(WIN32)
endif()
if(INSTALL_C_EXAMPLES AND NOT WIN32)
file(GLOB GPU_FILES performance/*.cpp performance/*.h)
file(GLOB GPU_FILES performance/*.cpp performance/*.h performance/CMakeLists.txt)
install(FILES ${GPU_FILES}
DESTINATION ${OPENCV_SAMPLES_SRC_INSTALL_PATH}/gpu/performance
PERMISSIONS OWNER_READ GROUP_READ WORLD_READ

@ -1,7 +1,6 @@
#include <iostream>
#include <vector>
#include "cvconfig.h"
#include "opencv2/core/core.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/highgui/highgui.hpp"

@ -51,8 +51,8 @@ if(BUILD_EXAMPLES AND OCV_DEPENDENCIES_FOUND)
endforeach()
endif()
if (INSTALL_C_EXAMPLES AND NOT WIN32)
file(GLOB install_list *.c *.cpp *.jpg *.png *.data makefile.* build_all.sh *.dsp *.cmd )
if (OCV_DEPENDENCIES_FOUND AND INSTALL_C_EXAMPLES AND NOT WIN32)
file(GLOB install_list *.c *.cpp *.jpg *.png *.data makefile.* build_all.sh *.dsp *.cmd *.txt)
install(FILES ${install_list}
DESTINATION ${OPENCV_SAMPLES_SRC_INSTALL_PATH}/ocl
PERMISSIONS OWNER_READ GROUP_READ WORLD_READ COMPONENT samples)

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