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Provides Gif support in Julia using LibGif

Home Page: https://ashwani-rathee.github.io/GIFImages.jl/dev/

License: MIT License

Julia 100.00%
gif hacktoberfest julia

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gifimages.jl's Issues

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performance suggestions

The quantizers could possibly be improved, but doesn't have the bandwidth to check it ๐Ÿ˜ข


Use MappedArrays to avoid allocating buffers for res at each iteration. This could be GC-heavy if the image itself is large.

res = map(x -> RGB{N0f8}(x.Red / 255, x.Green / 255, x.Blue / 255), colortypes)
res = reshape(res, Int(loaded_gif.SWidth), Int(loaded_gif.SHeight))
res = res'
final[:, :, i] = res

[] is equivalent to Any[] and is slow. Use Concrete types, e.g., UInt8[]?

colors = []

colors should also be a concret type Dict{RGB{N0f8}, UInt8}()

mapping = Dict()
for (i, j) in enumerate(colors)
mapping[j] = UInt8(i-1)
end

Computating order matters. Here we want to make sure pix is a dense memory with valid pointer. But we can compute it in one line, e.g., map(x->colors[x], @view(img[:, :, i])'). -- Vector and Matrix should be the same when you get the pointer of it so vec is needless.

img1 = vec(collect(@view(img[:, :, i])'))
pix = map(x -> mapping[x], img1)

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