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58 lines
1.7 KiB
Makefile
58 lines
1.7 KiB
Makefile
PORTNAME= darknet
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DISTVERSIONPREFIX= darknet_yolo_v
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DISTVERSION= 4_pre
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PORTEPOCH= 1
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CATEGORIES= misc # machine-learning
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MAINTAINER= yuri@FreeBSD.org
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COMMENT= Open source neural networks in C
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LICENSE= PD
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LICENSE_FILE= ${WRKSRC}/LICENSE
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USES= cmake compiler:c11
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USE_LDCONFIG= yes
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USE_GITHUB= yes
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GH_ACCOUNT= AlexeyAB
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CMAKE_OFF= ENABLE_CUDA ENABLE_CUDNN ENABLE_CUDNN_HALF ENABLE_VCPKG_INTEGRATION
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PLIST_FILES= bin/darknet \
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include/darknet.h \
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include/yolo_v2_class.hpp \
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lib/libdark.so
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OPTIONS_DEFINE= OPENCV
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OPTIONS_DEFAULT= OPENCV
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OPTIONS_DEFINE_amd64= SSE2 SSE3 SSE4 AVX
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OPTIONS_DEFINE_i386= SSE2 SSE3 SSE4 AVX
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OPTIONS_DEFAULT_amd64= SSE2
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OPTIONS_DEFAULT_i386= SSE2
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# Many secondary functions in DarkNet depend on OpenCV which is a large dependency.
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# Build with OPENCV=off for a self-contained executable which would support
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# core NN computations but would not support many visualization, training and
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# other features.
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OPENCV_USES= pkgconfig
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OPENCV_CMAKE_BOOL= ENABLE_OPENCV
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OPENCV_LIB_DEPENDS= libopencv_video.so:graphics/opencv \
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libopencv_core.so:graphics/opencv
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SSE2_DESC= Use SSE2 instructions
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SSE2_CMAKE_ON= -DFREEBSD_SIMD="-msse2"
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SSE3_DESC= Use SSE3 instructions
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SSE3_CMAKE_ON= -DFREEBSD_SIMD="-msse3"
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SSE4_DESC= Use SSE4 instructions
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SSE4_CMAKE_ON= -DFREEBSD_SIMD="-msse4.1 -msse4.2 -msse4a"
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AVX_DESC= Use AVX instructions
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AVX_CMAKE_ON= -DFREEBSD_SIMD="-mavx -mavx2"
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do-install: # https://github.com/AlexeyAB/darknet/issues/4527
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${INSTALL_PROGRAM} ${BUILD_WRKSRC}/darknet ${STAGEDIR}${PREFIX}/bin
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cd ${WRKSRC} && ${COPYTREE_SHARE} include ${STAGEDIR}${PREFIX}
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${INSTALL_DATA} ${BUILD_WRKSRC}/libdark.so ${STAGEDIR}${PREFIX}/lib
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${STRIP_CMD} ${STAGEDIR}${PREFIX}/lib/libdark.so
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.include <bsd.port.mk>
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