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pkgbase = python-qualia-core
	pkgdesc = End-to-end training, quantization and deployment framework for deep neural networks on microcontrollers.
	pkgver = 2.3.0
	pkgrel = 1
	url = https://github.com/LEAT-EDGE/qualia-core
	arch = any
	license = AGPL-3.0
	makedepends = git
	makedepends = python-build
	makedepends = python-installer
	makedepends = python-wheel
	makedepends = python-pdm-backend
	depends = python
	depends = python-numpy
	depends = python-tomlkit
	depends = python-colorful
	depends = python-gitpython
	depends = python-blosc2
	depends = python-pydantic
	depends = python-typing_extensions
	optdepends = python-qualia-codegen-core: support for deployment using Qualia-CodeGen C code generation tool
	optdepends = python-keras: support for training and deployment using Keras backend
	optdepends = python-pytorch-lightning: support for training, quantization and deployment using PyTorch backend
	optdepends = python-imageio: support for GTSRB dataset
	optdepends = python-scikit-image: support for GTSRB dataset
	optdepends = python-torchaudio: support for Google Speech Commands dataset
	optdepends = python-pytorch3d: support for 3D rotation data augmentation
	optdepends = python-torchvision: support for image data augmentations
	optdepends = python-clearml: support for ClearML experiment tracking
	optdepends = python-tensorboard: support for TensorBoard and ClearML experiment tracking
	optdepends = python-pyserial: support for on-target evaluation over (virtual) serial port
	source = git+https://github.com/leat-edge/qualia-core.git#tag=2.3.0
	md5sums = SKIP

pkgname = python-qualia-core