Some low-hanging fruit that FastAI.jl can pick to become faster here: - builtin presizing support - prototype at https://github.com/lorenzoh/DataBlockStorage.jl/ - using JpegTurbo.jl's downsized loading so no storing to disk is needed (https://github.com/JuliaIO/JpegTurbo.jl/issues/15#issuecomment-1031548344) - use inplace operations - DataAugmentation.jl already supports inplace operations, FastAI.jl just needs to add a buffered `encode!` interface and use those paths - JpegTurbo.jl image loading could also be done inplace (https://github.com/JuliaIO/JpegTurbo.jl/issues/23) - the whole pipeline could become non-allocating - use MLUtils.jl (#196) - new `DataLoader` seems more stable and possibly a little faster - run projective transformations on GPU (https://github.com/lorenzoh/DataAugmentation.jl/issues/48)
Some low-hanging fruit that FastAI.jl can pick to become faster here:
encode!interface and use those pathsDataLoaderseems more stable and possibly a little faster