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pkgbase = python-facexlib
pkgdesc = FaceXlib aims at providing ready-to-use face-related functions based on current STOA open-source methods.
pkgver = 0.2.1.0
pkgrel = 2
url = https://github.com/xinntao/facexlib
arch = x86_64
license = MIT
makedepends = python-setuptools
depends = python-filterpy
depends = python-numba
depends = python-numpy
depends = python-opencv
depends = python-pillow
depends = python-scipy
depends = python-pytorch
depends = python-torchvision
depends = python-tqdm
source = https://github.com/xinntao/facexlib/archive/refs/tags/v0.2.1.0.tar.gz
source = https://github.com/xinntao/facexlib/releases/download/v0.2.0/assessment_hyperIQA.pth
source = https://github.com/xinntao/facexlib/releases/download/v0.2.0/headpose_hopenet.pth
source = https://github.com/xinntao/facexlib/releases/download/v0.2.0/matting_modnet_portrait.pth
source = https://github.com/xinntao/facexlib/releases/download/v0.2.0/parsing_bisenet.pth
source = https://github.com/xinntao/facexlib/releases/download/v0.1.0/alignment_WFLW_4HG.pth
source = https://github.com/xinntao/facexlib/releases/download/v0.1.0/detection_mobilenet0.25_Final.pth
source = https://github.com/xinntao/facexlib/releases/download/v0.1.0/detection_Resnet50_Final.pth
source = https://github.com/xinntao/facexlib/releases/download/v0.1.0/recognition_arcface_ir_se50.pth
sha256sums = 557886ad7465c501eadb98d77c1976ce69b1ccaa7a921db4115ebe3759747f74
sha256sums = ff9277bcc68ecc10e77d88b6d0a32825ec3c85562095542734ec6212eaaf6d81
sha256sums = e4c76d5872fe22a930ea6b584cbd99c0c7e3a128327b5da43db37117fcf50933
sha256sums = 7c22235f0925deba15d4d63e53afcb654c47055bbcd98f56e393ab2584007ed8
sha256sums = 468e13ca13a9b43cc0881a9f99083a430e9c0a38abd935431d1c28ee94b26567
sha256sums = bbfd137307a4c7debd5c283b9b0ce539466cee417ac0a155e184d857f9f2899c
sha256sums = 2979b33ffafda5d74b6948cd7a5b9a7a62f62b949cef24e95fd15d2883a65220
sha256sums = 6d1de9c2944f2ccddca5f5e010ea5ae64a39845a86311af6fdf30841b0a5a16d
sha256sums = a035c768259b98ab1ce0e646312f48b9e1e218197a0f80ac6765e88f8b6ddf28
pkgname = python-facexlib
optdepends = facexlib-model: pre-trained model and inference script
pkgname = facexlib-model
pkgdesc = Pre-trained model and interference script for python-facexlib.
depends = python-facexlib
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