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vcpkg/ports/darknet/portfile.cmake
Stefano Sinigardi 80fae15c03
[darknet] ready for yolo_v4 (#11037) 
* [darknet] ready for yolo_v4

* [darknet] add yolov4 training weights

* [darknet] use github host for release materials

* [darknet] update to latest fixed revision

* [darknet] update to 20200504 release

* fix static/shared CRT linking mismatch

* [darknet] update to 20200519

* [darknet] add yolov4-tiny

Co-authored-by: JackBoosY <yuzaiyang@beyondsoft.com>
2020-08-07 16:10:58 -07:00

184 lines
9.6 KiB
CMake
Raw Blame History

vcpkg_from_github(
OUT_SOURCE_PATH SOURCE_PATH
REPO AlexeyAB/darknet
REF 320e6fd8d29f6f7825ef668f15f955f90131f782
SHA512 f95ac04c1c4e1b3f28aa835a64d969ffee064a3681a7966b255981722d562aa1eb91c30a378cad2f1bccd4581b74d8c2ec641c57763bc0fa97bfce8b1c222480
HEAD_REF master
PATCHES
fix_shared_static.patch
)
# enable CUDA inside DARKNET
set(ENABLE_CUDA OFF)
if("cuda" IN_LIST FEATURES)
set(ENABLE_CUDA ON)
endif()
set(ENABLE_OPENCV OFF)
# enable OPENCV (basic version) inside DARKNET
if("opencv-base" IN_LIST FEATURES)
set(ENABLE_OPENCV ON)
endif()
if("opencv2-base" IN_LIST FEATURES)
set(ENABLE_OPENCV ON)
endif()
if("opencv3-base" IN_LIST FEATURES)
set(ENABLE_OPENCV ON)
endif()
# enable OPENCV (with its own CUDA feature enabled) inside DARKNET
# (note: this does not mean that DARKNET itself will have CUDA support since by design it is independent, to have it you must require both opencv-cuda and cuda features!)
# DARKNET will be automatically able to distinguish an OpenCV that is built with or without CUDA support.
if("opencv-cuda" IN_LIST FEATURES)
set(ENABLE_OPENCV ON)
endif()
if("opencv2-cuda" IN_LIST FEATURES)
set(ENABLE_OPENCV ON)
endif()
if("opencv3-cuda" IN_LIST FEATURES)
set(ENABLE_OPENCV ON)
endif()
# enable CUDNN inside DARKNET (which depends on the "cuda" feature by design)
set(ENABLE_CUDNN OFF)
if("cudnn" IN_LIST FEATURES)
set(ENABLE_CUDNN ON)
endif()
if ("cuda" IN_LIST FEATURES)
if (NOT VCPKG_CMAKE_SYSTEM_NAME AND NOT ENV{CUDACXX})
#CMake looks for nvcc only in PATH and CUDACXX env vars for the Ninja generator. Since we filter path on vcpkg and CUDACXX env var is not set by CUDA installer on Windows, CMake cannot find CUDA when using Ninja generator, so we need to manually enlight it if necessary (https://gitlab.kitware.com/cmake/cmake/issues/19173). Otherwise we could just disable Ninja and use MSBuild, but unfortunately CUDA installer does not integrate with some distributions of MSBuild (like the ones inside Build Tools), making CUDA unavailable otherwise in those cases, which we want to avoid
set(ENV{CUDACXX} "$ENV{CUDA_PATH}/bin/nvcc.exe")
endif()
endif()
if("weights" IN_LIST FEATURES)
vcpkg_download_distfile(YOLOV4-TINY_WEIGHTS
URLS "https://github.com/AlexeyAB/darknet/releases/download/darknet_yolo_v4_pre/yolov4-tiny.weights"
FILENAME "darknet-cache/yolov4-tiny.weights"
SHA512 804ca2ab8e3699d31c95bf773d22f901f186703487c7945f30dc2dbb808094793362cb6f5da5cd0b4b83f820c8565a3cba22fafa069ee6ca2a925677137d95f4
)
vcpkg_download_distfile(YOLOV4_WEIGHTS
URLS "https://github.com/AlexeyAB/darknet/releases/download/darknet_yolo_v3_optimal/yolov4.weights"
FILENAME "darknet-cache/yolov4.weights"
SHA512 77f779c58df67975b187cfead99c1e62d72c57e76c3715e35b97a1c7aba1c7b092be97ffb17907099543ac3957085a0fe9688df4a653ea62dfe8322afca53e40
)
vcpkg_download_distfile(YOLOV3-TINY-PRN_WEIGHTS
URLS "https://drive.google.com/u/0/uc?id=18yYZWyKbo4XSDVyztmsEcF9B_6bxrhUY&export=download"
FILENAME "darknet-cache/yolov3-tiny-prn.weights"
SHA512 0be26786103866868751bb8c5cc0b5147b3e8528d0cf5b387f5aefc72807fd7f1bf8049d5b0a47e9b4445d34e773ea8e3abc95330edb2a3ecd6103e158df2677
)
vcpkg_download_distfile(YOLOV3_WEIGHTS
URLS "https://pjreddie.com/media/files/yolov3.weights"
FILENAME "darknet-cache/yolov3.weights"
SHA512 293c70e404ff0250d7c04ca1e5e053fc21a78547e69b5b329d34f25981613e59b982d93fff2c352915ef7531d6c3b02a9b0b38346d05c51d6636878d8883f2c1
)
vcpkg_download_distfile(YOLOV3-OPENIMAGES_WEIGHTS
URLS "https://pjreddie.com/media/files/yolov3-openimages.weights"
FILENAME "darknet-cache/yolov3-openimages.weights"
SHA512 616e90057946c9588d045cff6ec36b63254660af4377201dc02642e798d62f392e8f3cdb5b10a1c4bcbe5c056e690275dca35b68db7fd802783a0c6bbd959ba8
)
vcpkg_download_distfile(YOLOV2_WEIGHTS
URLS "https://pjreddie.com/media/files/yolov2.weights"
FILENAME "darknet-cache/yolov2.weights"
SHA512 5271da2dd2da915172ddd034c8e894877e7066051f105ae82e25e185a2b4e4157d2b9514653c23780e87346f2b20df6363018b7e688aba422e2dacf1d2fbf6ab
)
vcpkg_download_distfile(YOLOV3-TINY_WEIGHTS
URLS "https://pjreddie.com/media/files/yolov3-tiny.weights"
FILENAME "darknet-cache/yolov3-tiny.weights"
SHA512 981a56459515f727bb7b3d3341b95f4117499b6726eab2798e1c3e524de1ee8ed0d954c11b27bbbb926da2cc955526a194eddf69c55d65923994ab2e8af07042
)
vcpkg_download_distfile(YOLOV2-TINY_WEIGHTS
URLS "https://pjreddie.com/media/files/yolov2-tiny.weights"
FILENAME "darknet-cache/yolov2-tiny.weights"
SHA512 f0857a7a02cf4322354d288c9afa0b87321b23082b719bc84ea64e2f3556cc1fafeb836ee5bf9fb6dcf448839061b93623a067dfde7afa1338636865ea88989a
)
endif()
if("weights-train" IN_LIST FEATURES)
vcpkg_download_distfile(YOLOV4-TINY-CONV-29
URLS "https://github.com/AlexeyAB/darknet/releases/download/darknet_yolo_v4_pre/yolov4-tiny.conv.29"
FILENAME "darknet-cache/yolov4-tiny.conv.29"
SHA512 318e47f4bdf43b7f4eff8f3669bc9ba66cd7bd8ffb31df5bc1978682c85fec8e63a8349958022fd933cc676cbf5241953f2181bf4d1789f7cf9d371e012e3e49
)
vcpkg_download_distfile(YOLOV4-CONV-137
URLS "https://github.com/AlexeyAB/darknet/releases/download/darknet_yolo_v3_optimal/yolov4.conv.137"
FILENAME "darknet-cache/yolov4.conv.137"
SHA512 d146a61762bf6ef91deb6c627ede475f63b3975fbeeb1ff5e0949470b29be8fc28ee81280041937e7ded49679276fbabacdb92d02fa246cc622853633fd3d992
)
vcpkg_download_distfile(DARKNET53-CONV-74
URLS "https://pjreddie.com/media/files/darknet53.conv.74"
FILENAME "darknet-cache/darknet53.conv.74"
SHA512 8983e1c129e2d6e8e3da0cc0781ecb7a07813830ef5a87c24b53100df6a5f23db6c6e6a402aec78025a93fe060b75d1958f1b8f7439a04b54a3f19c81e2ae99b
)
vcpkg_download_distfile(DARKNET19-448-CONV-23
URLS "https://pjreddie.com/media/files/darknet19_448.conv.23"
FILENAME "darknet-cache/darknet19_448.conv.23"
SHA512 8016f5b7ddc15c5d7dad231592f5351eea65f608ebdb204f545034dde904e11962f693080dfeb5a4510e7b71bdda151a9121ba0f8a243018d680f01b1efdbd31
)
endif()
#make sure we don't use any integrated pre-built library nor any unnecessary CMake module
file(REMOVE_RECURSE ${SOURCE_PATH}/3rdparty)
file(REMOVE ${SOURCE_PATH}/cmake/Modules/FindPThreads_windows.cmake)
file(REMOVE ${SOURCE_PATH}/cmake/Modules/FindCUDNN.cmake)
file(REMOVE ${SOURCE_PATH}/cmake/Modules/FindStb.cmake)
vcpkg_configure_cmake(
SOURCE_PATH ${SOURCE_PATH}
DISABLE_PARALLEL_CONFIGURE
PREFER_NINJA
OPTIONS
-DINSTALL_BIN_DIR:STRING=bin
-DINSTALL_LIB_DIR:STRING=lib
-DENABLE_CUDA=${ENABLE_CUDA}
-DENABLE_CUDNN=${ENABLE_CUDNN}
-DENABLE_OPENCV=${ENABLE_OPENCV}
)
vcpkg_install_cmake()
file(REMOVE ${CURRENT_PACKAGES_DIR}/debug/bin/darknet${VCPKG_TARGET_EXECUTABLE_SUFFIX})
file(REMOVE ${CURRENT_PACKAGES_DIR}/debug/bin/uselib${VCPKG_TARGET_EXECUTABLE_SUFFIX})
if(EXISTS ${CURRENT_PACKAGES_DIR}/debug/bin/uselib_track${VCPKG_TARGET_EXECUTABLE_SUFFIX})
file(REMOVE ${CURRENT_PACKAGES_DIR}/debug/bin/uselib_track${VCPKG_TARGET_EXECUTABLE_SUFFIX})
endif()
file(MAKE_DIRECTORY ${CURRENT_PACKAGES_DIR}/tools/${PORT})
file(RENAME ${CURRENT_PACKAGES_DIR}/bin/darknet${VCPKG_TARGET_EXECUTABLE_SUFFIX} ${CURRENT_PACKAGES_DIR}/tools/${PORT}/darknet${VCPKG_TARGET_EXECUTABLE_SUFFIX})
file(RENAME ${CURRENT_PACKAGES_DIR}/bin/uselib${VCPKG_TARGET_EXECUTABLE_SUFFIX} ${CURRENT_PACKAGES_DIR}/tools/${PORT}/uselib${VCPKG_TARGET_EXECUTABLE_SUFFIX})
if(EXISTS ${CURRENT_PACKAGES_DIR}/bin/uselib_track${VCPKG_TARGET_EXECUTABLE_SUFFIX})
file(RENAME ${CURRENT_PACKAGES_DIR}/bin/uselib_track${VCPKG_TARGET_EXECUTABLE_SUFFIX} ${CURRENT_PACKAGES_DIR}/tools/${PORT}/uselib_track${VCPKG_TARGET_EXECUTABLE_SUFFIX})
endif()
file(COPY ${SOURCE_PATH}/cfg DESTINATION ${CURRENT_PACKAGES_DIR}/tools/${PORT})
file(COPY ${SOURCE_PATH}/data DESTINATION ${CURRENT_PACKAGES_DIR}/tools/${PORT})
vcpkg_copy_tool_dependencies(${CURRENT_PACKAGES_DIR}/tools/${PORT})
if(VCPKG_LIBRARY_LINKAGE STREQUAL static)
file(REMOVE_RECURSE ${CURRENT_PACKAGES_DIR}/bin ${CURRENT_PACKAGES_DIR}/debug/bin)
endif()
vcpkg_fixup_cmake_targets()
file(REMOVE_RECURSE ${CURRENT_PACKAGES_DIR}/debug/share)
file(REMOVE_RECURSE ${CURRENT_PACKAGES_DIR}/debug/include)
file(INSTALL ${SOURCE_PATH}/LICENSE DESTINATION ${CURRENT_PACKAGES_DIR}/share/${PORT} RENAME copyright)
if("weights" IN_LIST FEATURES)
file(COPY ${VCPKG_ROOT_DIR}/downloads/darknet-cache/yolov4-tiny.weights DESTINATION ${CURRENT_PACKAGES_DIR}/tools/${PORT})
file(COPY ${VCPKG_ROOT_DIR}/downloads/darknet-cache/yolov4.weights DESTINATION ${CURRENT_PACKAGES_DIR}/tools/${PORT})
file(COPY ${VCPKG_ROOT_DIR}/downloads/darknet-cache/yolov3-tiny-prn.weights DESTINATION ${CURRENT_PACKAGES_DIR}/tools/${PORT})
file(COPY ${VCPKG_ROOT_DIR}/downloads/darknet-cache/yolov3-openimages.weights DESTINATION ${CURRENT_PACKAGES_DIR}/tools/${PORT})
file(COPY ${VCPKG_ROOT_DIR}/downloads/darknet-cache/yolov3.weights DESTINATION ${CURRENT_PACKAGES_DIR}/tools/${PORT})
file(COPY ${VCPKG_ROOT_DIR}/downloads/darknet-cache/yolov2.weights DESTINATION ${CURRENT_PACKAGES_DIR}/tools/${PORT})
file(COPY ${VCPKG_ROOT_DIR}/downloads/darknet-cache/yolov3-tiny.weights DESTINATION ${CURRENT_PACKAGES_DIR}/tools/${PORT})
file(COPY ${VCPKG_ROOT_DIR}/downloads/darknet-cache/yolov2-tiny.weights DESTINATION ${CURRENT_PACKAGES_DIR}/tools/${PORT})
endif()
if("weights-train" IN_LIST FEATURES)
file(COPY ${VCPKG_ROOT_DIR}/downloads/darknet-cache/yolov4-tiny.conv.29 DESTINATION ${CURRENT_PACKAGES_DIR}/tools/${PORT})
file(COPY ${VCPKG_ROOT_DIR}/downloads/darknet-cache/yolov4.conv.137 DESTINATION ${CURRENT_PACKAGES_DIR}/tools/${PORT})
file(COPY ${VCPKG_ROOT_DIR}/downloads/darknet-cache/darknet53.conv.74 DESTINATION ${CURRENT_PACKAGES_DIR}/tools/${PORT})
file(COPY ${VCPKG_ROOT_DIR}/downloads/darknet-cache/darknet19_448.conv.23 DESTINATION ${CURRENT_PACKAGES_DIR}/tools/${PORT})
endif()
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