118 lines
3.0 KiB
Julia
118 lines
3.0 KiB
Julia
module ColourApproximations
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using Colors
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using GLMakie
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using Observables
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# Utilities
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include("coloursets.jl")
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include("pairsurrounding.jl")
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const coloursets =
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[Symbol("3-bit") => colours3bit,
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Symbol("4-bit") => colours4bit,
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Symbol("8-bit") => colours8bit,
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Symbol("24-bit") => Colorant[]]
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# Extra colour differences
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struct DE_RGB <: Colors.EuclideanDifferenceMetric{RGB} end
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struct DE_HSL <: Colors.EuclideanDifferenceMetric{HSL} end
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colour_distance_metrics =
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["CIEΔE2000" => DE_2000(),
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"CIEΔE94" => DE_94(),
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"BFD" => DE_BFD(),
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"CMC" => DE_CMC(),
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# "JPC79" => DE_JPC79(),
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"l2 LAB" => DE_AB(),
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"l2 DIN99" => DE_DIN99(),
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# "l2 DIN99d" => DE_DIN99d(),
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# "l2 DIN99o" => DE_DIN99o(),
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"l2 RGB" => DE_RGB(),
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"l2 HSL" => DE_HSL()]
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# The control observables
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saturation = Observable(1.0)
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y_granularity = Observable(256)
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x_granularity = Observable(128)
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const x_grads = round.(Int, 2 .^(sort(vcat(6:10, (6:10) .+ log2(1.5)))))
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const y_grads = round.(Int, 2 .^(sort(vcat(5:10, (5:9) .+ log2(1.5)))))
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diffmetric = Observable{Colors.DifferenceMetric}(last(first(colour_distance_metrics)))
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# Plot setup
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fig = Figure()
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ax = Axis(fig[2,1])
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hidedecorations!(ax)
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hidespines!(ax)
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controlrow1 = fig[1,1] = GridLayout()
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xgrad_slider = Slider(controlrow1[1,2], range=y_grads, startvalue=y_granularity[])
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Label(controlrow1[1,1], text="Y divisions")
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ygrad_slider = Slider(controlrow1[1,4], range=x_grads, startvalue=x_granularity[])
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Label(controlrow1[1,3], text="X divisions")
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metric_slider = Slider(controlrow1[1,6], range=1:length(colour_distance_metrics))
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Label(controlrow1[1,5], text=@lift(colour_distance_metrics[$(metric_slider.value)] |> first))
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connect!(y_granularity, xgrad_slider.value)
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connect!(x_granularity, ygrad_slider.value)
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controlrow2 = fig[3,1] = GridLayout()
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saturation_slider = Slider(controlrow2[1,2], range = 0:0.01:1, startvalue=saturation[])
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Label(controlrow2[1,1], text="Saturation")
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colourset_slider = Slider(controlrow2[1,4], range=1:length(coloursets))
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Label(controlrow2[1,3], text=@lift(coloursets[$(colourset_slider.value)] |> first |> string))
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colsize!(controlrow2, 1, Auto(true, 0.0))
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colsize!(controlrow2, 2, Auto(false, 0.8))
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colsize!(controlrow2, 3, Auto(true, 0.0))
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colsize!(controlrow2, 4, Makie.Fixed(100))
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# Plotting
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connect!(saturation, saturation_slider.value)
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map!(diffmetric, metric_slider.value) do v
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colour_distance_metrics[v] |> last
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end
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colour_grid_unprocessed = map(y_granularity, x_granularity, saturation) do x, y, s
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[HSL(h, s, l)
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for h in range(0, 360, length=x),
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l in range(0, 1, length=y)]
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end
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colour_grid = Observable(Matrix{Colorant}(undef, 0, 0))
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map!(colour_grid, colour_grid_unprocessed, diffmetric, colourset_slider.value) #=
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=# do cmat, metric, cset
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if cset == length(coloursets)
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cmat
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else
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growcolours(metric, last(coloursets[cset]), cmat)
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end
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end
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# The main event
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image!(ax, colour_grid)
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on(y_granularity, priority=-1) do _
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reset_limits!(ax)
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end
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on(x_granularity, priority=-1) do _
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reset_limits!(ax)
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end
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end
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