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basename=libsurvive
pkgname=$basename-git
pkgver=2207.d939c24
pkgrel=1
pkgdesc="Open-Source tool for working with lighthouse-based tracking data, including support for the HTC Vive, Vive Pro and Valve Index."
arch=(x86_64 i686)
url="https://github.com/cntools/libsurvive"
license=(MIT)
depends=("hidapi" "xr-hardware" "libpcap" "zlib" "libusb" "eigen") # "lapacke" "cblas" "blas"
conflicts=($basename)
provides=($basename)
makedepends=("git" "cmake" "ninja")
source=($basename::"git+https://github.com/cntools/libsurvive.git"
cnkalman.git::"git+https://github.com/cntools/cnkalman.git"
cnmatrix.git::"git+https://github.com/cntools/cnmatrix.git")
sha256sums=('SKIP'
'SKIP'
'SKIP')
pkgver() {
cd $basename
hash=$(git log --pretty=format:'%h' -n 1)
revision=$(git rev-list --count HEAD)
echo $revision.$hash
}
prepare() {
cd $basename
git submodule update --init --recursive
sed "s!cnmatrix/matrix.h!cnmatrix/cn_matrix.h!g" -i tools/vive_mouse/vive_mouse.c
git revert --no-commit 84423daf44b430f8ec12e7650f46027070d7df73
}
build() {
cd $basename
rm -rf build
# there is an openblas issue that causes high cpu usage unless OPENBLAS_NUM_THREADS=0 is set.
# works with lapack reference blas but its use is discouraged as it's not tuned.
# -DUSE_EIGEN=ON disables the use of blas in favor of libsurvive's own single threaded matrix math using eigen.
# This will probably require slightly more cpu power than a tuned blas implementation.
# If running on a weak CPU, consider installing a blas implementation and using -DUSE_EIGEN=OFF.
cmake -B build -G Ninja -DCMAKE_INSTALL_PREFIX=/usr -DCMAKE_INSTALL_LIBDIR=lib -DUSE_EIGEN=ON -DCMAKE_BUILD_TYPE=Release
ninja -C build
}
package() {
cd $basename
DESTDIR="$pkgdir" ninja -C build install
install -Dm644 LICENSE "$pkgdir/usr/share/licenses/$pkgname/LICENSE"
}
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