.SRCINFO


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pkgbase = python-open-unmix-pytorch
	pkgdesc = PyTorch implementation of Open-Unmix, a music source separation toolkit
	pkgver = 1.3.0
	pkgrel = 2
	url = https://github.com/sigsep/open-unmix-pytorch
	arch = any
	license = MIT
	checkdepends = asteroid-filterbanks
	checkdepends = onnx
	checkdepends = open-unmix-umx-weights
	checkdepends = open-unmix-umxhq-weights
	checkdepends = open-unmix-umxl-weights
	checkdepends = open-unmix-umxse-weights
	checkdepends = python-musdb
	checkdepends = python-museval
	checkdepends = python-pytest
	makedepends = python-build
	makedepends = python-installer
	makedepends = python-pdoc
	makedepends = python-setuptools
	makedepends = python-sphinx
	makedepends = python-sphinx_rtd_theme
	makedepends = python-wheel
	depends = python
	depends = python-numpy<2
	depends = python-pytorch
	depends = python-torchaudio
	depends = python-tqdm
	optdepends = asteroid-filterbanks: support for exporting short-time Fourier transform results
	optdepends = open-unmix-umx-weights: UMX, a music separation model trained on MUSDB18
	optdepends = open-unmix-umxhq-weights: UMX-HQ, a music separation model trained on MUSDB18-HQ
	optdepends = open-unmix-umxl-weights: UMX-L, a music separation model trained on a private dataset
	optdepends = open-unmix-umxse-weights: UMX-SE, a speech enhancement model trained on the 28-speaker version of Voicebank+Demand
	optdepends = python-musdb: enable the built-in trainer to use the MUSDB dataset
	optdepends = python-museval: to use the evaluate.py script
	provides = python-open-unmix
	conflicts = python-open-unmix
	source = open-unmix-pytorch-1.3.0.tar.gz::https://github.com/sigsep/open-unmix-pytorch/archive/v1.3.0.tar.gz
	source = use-packaged-weights.patch
	sha512sums = bb0f4069be17500907b1e496cfe7e3d77914aea66df7d40bd19be932f2b12160390ca36709233b99758ac19deef9dad9de1a24f3e3a88eee9253158fdcdbf3f2
	sha512sums = bcb47cfbf878ee22d1e3246de485ff8ba9a0d4c331ff6048bc4bb4c14b2cef0ab89ab41d38da97a3e6c5f1c4c93d14bd662498a8bc9fc660ab187d1bb9db1c9f

pkgname = python-open-unmix-pytorch