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PORTNAME= darknet
PORTVERSION= 3.20200507 # the upstream doesn't maintain a meaningful versioning schema, so have to use a date here
PORTREVISION= 1
PORTEPOCH= 1
CATEGORIES= misc # machine-learning
MAINTAINER= yuri@FreeBSD.org
COMMENT= Open source neural networks in C
LICENSE= PD
LICENSE_FILE= ${WRKSRC}/LICENSE
USES= cmake compiler:c11
USE_GITHUB= yes
GH_ACCOUNT= AlexeyAB
GH_TAGNAME= 1f60ca57ad90f34a0559783656fa1ba98c61bb6d
USE_LDCONFIG= yes
CMAKE_OFF= ENABLE_CUDA ENABLE_CUDNN ENABLE_CUDNN_HALF ENABLE_VCPKG_INTEGRATION
PLIST_FILES= bin/darknet \
include/darknet.h \
include/yolo_v2_class.hpp \
lib/libdark.so
OPTIONS_DEFINE= OPENCV
OPTIONS_DEFAULT= OPENCV
OPTIONS_DEFINE_amd64= SSE2 SSE3 SSE4 AVX
OPTIONS_DEFINE_i386= SSE2 SSE3 SSE4 AVX
OPTIONS_DEFAULT_amd64= SSE2
OPTIONS_DEFAULT_i386= SSE2
# Many secondary functions in DarkNet depend on OpenCV which is a large dependency.
# Build with OPENCV=off for a self-contained executable which would support
# core NN computations but would not support many visualization, training and
# other features.
OPENCV_USES= pkgconfig
OPENCV_CMAKE_BOOL= ENABLE_OPENCV
OPENCV_LIB_DEPENDS= libopencv_video.so:graphics/opencv \
libopencv_core.so:graphics/opencv
SSE2_DESC= Use SSE2 instructions
SSE2_CMAKE_ON= -DFREEBSD_SIMD="-msse2"
SSE3_DESC= Use SSE3 instructions
SSE3_CMAKE_ON= -DFREEBSD_SIMD="-msse3"
SSE4_DESC= Use SSE4 instructions
SSE4_CMAKE_ON= -DFREEBSD_SIMD="-msse4.1 -msse4.2 -msse4a"
AVX_DESC= Use AVX instructions
AVX_CMAKE_ON= -DFREEBSD_SIMD="-mavx -mavx2"
do-install: # https://github.com/AlexeyAB/darknet/issues/4527
${INSTALL_PROGRAM} ${BUILD_WRKSRC}/darknet ${STAGEDIR}${PREFIX}/bin
cd ${WRKSRC} && ${COPYTREE_SHARE} include ${STAGEDIR}${PREFIX}
${INSTALL_DATA} ${BUILD_WRKSRC}/libdark.so ${STAGEDIR}${PREFIX}/lib
${STRIP_CMD} ${STAGEDIR}${PREFIX}/lib/libdark.so
.include <bsd.port.mk>
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