Add imfilter benchmarks

benchmark/.gitignore

@@ -1 +1,2 @@
 /Manifest.toml
+*.md

benchmark/Project.toml

@@ -1,4 +1,5 @@
 [deps]
 BenchmarkTools = "6e4b80f9-dd63-53aa-95a3-0cdb28fa8baf"
+ImageCore = "a09fc81d-aa75-5fe9-8630-4744c3626534"
 PkgBenchmark = "32113eaa-f34f-5b0d-bd6c-c81e245fc73d"
 Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"

benchmark/benchmarks.jl

@@ -1,4 +1,4 @@
-using ImageFiltering
+using ImageFiltering, ImageCore
 using PkgBenchmark
 using BenchmarkTools
 using Statistics: quantile, mean, median!
@@ -12,8 +12,35 @@ let grp = SUITE["mapwindow"]
     img3d = randn(10,11,12)
     grp["cheap f, tiny window"] = @benchmarkable mapwindow(first, $img1d, (1,))
     grp["extrema"] = @benchmarkable mapwindow(extrema, $img2d, (5,5))
+    grp["maximum"] = @benchmarkable mapwindow(maximum, $img2d, (5,5))
+    grp["minimum"] = @benchmarkable mapwindow(minimum, $img2d, (5,5))
     grp["median!"] = @benchmarkable mapwindow(median!, $img2d, (5,5))
     grp["mean, small window"] = @benchmarkable mapwindow(mean, $img1d, (3,))
     grp["mean, large window"] = @benchmarkable mapwindow(mean, $img3d, (5,5,5))
     grp["expensive f"] = @benchmarkable mapwindow(x -> quantile(vec(x), 0.7), $img3d, (3,3,3))
 end
+
+SUITE["2d"] = BenchmarkGroup()
+let grp = SUITE["2d"]
+    imgF32      = rand(Float32, 100, 100)
+    imgN0f8     = Array(rand(N0f8, 100, 100))
+    imggrayF32  = Array(rand(Gray{Float32}, 100, 100))
+    imggrayN0f8 = Array(rand(Gray{N0f8}, 100, 100))
+    imgrgbF32   = Array(rand(RGB{Float32}, 100, 100))
+    imgrgbN0f8  = Array(rand(RGB{N0f8}, 100, 100))
+    kern3x3     = (centered([ 1/5  1/4  1/7;
+                              1/2  1/3 -1/11;
+                             -1/25 1/9 -1/7]),)
+    kernsobel   = KernelFactors.sobel()[1]
+    kerniir     = KernelFactors.IIRGaussian(Float32.((5.2, 1.3)))
+    for (name, img) in zip(("F32", "N0f8", "GrayF32", "GrayN0f8", "RGBF32", "RGBN0f8"),
+                            (imgF32, imgN0f8, imggrayF32, imggrayN0f8, imgrgbF32, imgrgbN0f8))
+        for (kname, kern) in zip(("dense", "factored"), (kern3x3, kernsobel))
+            grp[kname*"_"*name] = @benchmarkable imfilter($img, $kern, "replicate", ImageFiltering.FIR())
+        end
+    end
+    for (name, img) in zip(("F32", "N0f8", "GrayF32", "GrayN0f8", "RGBF32", "RGBN0f8"),
+                            (imgF32, imgN0f8, imggrayF32, imggrayN0f8, imgrgbF32, imgrgbN0f8))
+        grp["IIRGaussian_"*name] = @benchmarkable imfilter($img, $kerniir, "replicate", ImageFiltering.IIR())
+    end
+end