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Merge branch 'master' into compathelper/new_version/2021-08-20-01-00-46-675-00424368885
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CHANGELOG.md

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## [Unreleased]
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## [0.2.6]
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### Fixed
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- `CenterCrop` and co. now work properly on their own. (fixes [#52](https://github.com/lorenzoh/DataAugmentation.jl/issues/52))
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## [0.2.5]
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### Added

Project.toml

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name = "DataAugmentation"
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uuid = "88a5189c-e7ff-4f85-ac6b-e6158070f02e"
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authors = ["lorenzoh <lorenz.ohly@gmail.com>"]
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version = "0.2.5"
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version = "0.2.6"
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[deps]
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ColorBlendModes = "60508b50-96e1-4007-9d6c-f475c410f16b"
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ImageDraw = "0.2"
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ImageTransformations = "0.8, 0.9"
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Images = "0.23, 0.24"
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IndirectArrays = "0.5"
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IndirectArrays = "0.5, 1"
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Interpolations = "0.13"
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MosaicViews = "0.2, 0.3"
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OffsetArrays = "1.6.2"
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Parameters = "0.12"
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Rotations = "1.0"
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Setfield = "0.7"
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Setfield = "0.7, 0.8"
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StaticArrays = "1.0"
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julia = "1.3, 1.4, 1.5"
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README.md

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# DataAugmentation.jl
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[Documentation | Latest](https://lorenzoh.github.io/DataAugmentation.jl/dev/)
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Efficient, composable data augmentation for machine and deep learning with support for n-dimensional images, keypoints and categorical masks.

src/projective/base.jl

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bounds = getbounds(item)
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P = getprojection(tfm, bounds; randstate = randstate)
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bounds_ = projectionbounds(tfm, P, bounds; randstate = randstate)
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return P isa IdentityTransformation ? item : project(P, item, bounds_)
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return project(P, item, bounds_)
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end
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# For the buffered version, `project!` is used. Of course the size

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