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NEWS.md

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v0.6.0

Other changes:

  • upgrade to Julia 1.x

v0.5.0

New functionality:

  • Add support for multiple images per observation (represented as tuples), in which case all images of an observation are processed the same way (even when randomness is involved). See #23 for more information.

Other changes:

  • Remove deprecated Crop and CropNative constructors.

  • Update code for the benchmarks.

v0.4.0

New operations:

  • MapFun: Maps the given function over all individual array elements.

  • AggregateThenMapFun: Compute some aggregated value of the current image using some given function aggfun, and map that value over the current image using some given function mapfun.

Online documentation:

  • Replace tensorflow tutorial with Knet tutorial

v0.3.1

Small fixes:

  • Update REQUIRE versions for StaticArrays and Rotations

  • Update some internals to comply with upstream changes to ImageCore (v0.5.0) and ColorTypes (v0.6.6).

v0.3.0

New functionality:

  • augmentbatch!: Now accepts an ObsDimension as an optional last parameter.

Other changes:

  • Add basic PkgBenchmark integration.

  • Switch testing backend for reference tests to ReferenceTests.jl.

Online documentation:

  • Switch documentation engine to Documenter.jl

  • Add detailed documentation for provided operations.

  • Add basic usage examples/tutorials

  • Slight improvements to the README

v0.2.0

New functionality:

  • augment!: Use preallocated storage for the output

  • augmentbatch!: Augment a whole batch of images. Optionally using multiple threads.

New operations:

  • ConvertEltype: Convert the array elements to the given type

Other changes:

  • Either can now lazily combine affine operations with operations such as Crop, Zoom, and Resize. This is because a new kind of support was introduced called Augmentor.supports_affineview, which is true if an operation can represent itself as a SubArray of a InvWarpedView.

  • Dropped 0.5 support

v0.1.0

New operations:

  • CropRatio: Crop to the specified aspect ratio around the center.

  • RCropRatio: Crop random window with the specified aspect ratio.

  • SplitChannels: Separate the color channels into a dedicated array dimension.

  • CombineChannels: Collapse the first dimension into a specific colorant.

  • PermuteDims: Reorganize the array dimensions into a specific order.

  • Reshape: Change or reinterpret the shape of the array.