DESCRIPTION = "The Point Cloud Library (or PCL) for point cloud processing." SECTION = "devel" LICENSE = "BSD" LIC_FILES_CHKSUM = "file://LICENSE.txt;md5=5b8a2a1aa14e6de44b4273134946a34c" DEPENDS = "boost libflann libeigen qhull" SRC_URI = "https://github.com/PointCloudLibrary/${PN}/archive/${P}.tar.gz" SRC_URI[md5sum] = "8c1308be2c13106e237e4a4204a32cca" SRC_URI[sha256sum] = "9e54b0c1b59a67a386b9b0f4acb2d764272ff9a0377b825c4ed5eedf46ebfcf4" SRC_URI += "file://0001-make-the-pcl-library-compile-with-gcc6.patch" SRC_URI += "file://0001-Dereference-shared_ptr-fix-for-GCC8.patch" S = "${WORKDIR}/pcl-${P}" EXTRA_OECMAKE += "\ -DCMAKE_SKIP_RPATH=ON \ -DHAVE_MM_MALLOC_EXITCODE=0 \ -DHAVE_POSIX_MEMALIGN_EXITCODE=0 \ ${@bb.utils.contains("TARGET_CC_ARCH", "-msse4.2", "-DHAVE_SSE4_2_EXTENSIONS_EXITCODE=0", "-DHAVE_SSE4_2_EXTENSIONS_EXITCODE=1", d)} \ ${@bb.utils.contains("TARGET_CC_ARCH", "-msse4.1", "-DHAVE_SSE4_1_EXTENSIONS_EXITCODE=0", "-DHAVE_SSE4_1_EXTENSIONS_EXITCODE=1", d)} \ -DHAVE_SSSE3_EXTENSIONS_EXITCODE=0 \ ${@bb.utils.contains("TARGET_CC_ARCH", "-msse3", "-DHAVE_SSE3_EXTENSIONS_EXITCODE=0", "-DHAVE_SSE3_EXTENSIONS_EXITCODE=1", d)} \ ${@bb.utils.contains("TARGET_CC_ARCH", "-msse2", "-DHAVE_SSE2_EXTENSIONS_EXITCODE=0", "-DHAVE_SSE2_EXTENSIONS_EXITCODE=1", d)} \ ${@bb.utils.contains("TARGET_CC_ARCH", "-msse", "-DHAVE_SSE_EXTENSIONS_EXITCODE=0", "-DHAVE_SSE_EXTENSIONS_EXITCODE=1", d)} \ -DWITH_LIBUSB=FALSE \ -DWITH_PNG=FALSE \ -DWITH_QHULL=TRUE \ -DWITH_CUDA=FALSE \ -DWITH_QT=FALSE \ -DWITH_VTK=FALSE \ -DWITH_PCAP=FALSE \ -DWITH_OPENGL=FALSE \ " #Setting -ffloat-store to alleviate 32bit vs 64bit discrepancies on non-SSE platforms. CXXFLAGS += "${@bb.utils.contains("TARGET_CC_ARCH", "-mfpmath=sse", "", "-ffloat-store", d)}" inherit cmake FILES_${PN}-dev += "${datadir}/${PN}-1.8/*.cmake" # The build is really memory hungry (at least with gcc8), even with just -j 8 it triggers OOMK on system with 32GB ram # High memory needs mentioned in: https://github.com/PointCloudLibrary/pcl/issues/2284 # Setting just empty doesn't work, ninja will by default use number of cores available PARALLEL_MAKE = "-j1"