package resize import ( "image" "image/color" "runtime" "testing" ) var img = image.NewGray16(image.Rect(0, 0, 3, 3)) func init() { runtime.GOMAXPROCS(runtime.NumCPU()) img.Set(1, 1, color.White) } func Test_Param1(t *testing.T) { m := Resize(0, 0, img, NearestNeighbor) if m.Bounds() != img.Bounds() { t.Fail() } } func Test_Param2(t *testing.T) { m := Resize(100, 0, img, NearestNeighbor) if m.Bounds() != image.Rect(0, 0, 100, 100) { t.Fail() } } func Test_ZeroImg(t *testing.T) { zeroImg := image.NewGray16(image.Rect(0, 0, 0, 0)) m := Resize(0, 0, zeroImg, NearestNeighbor) if m.Bounds() != zeroImg.Bounds() { t.Fail() } } func Test_CorrectResize(t *testing.T) { zeroImg := image.NewGray16(image.Rect(0, 0, 256, 256)) m := Resize(60, 0, zeroImg, NearestNeighbor) if m.Bounds() != image.Rect(0, 0, 60, 60) { t.Fail() } } func Test_SameColor(t *testing.T) { img := image.NewRGBA(image.Rect(0, 0, 20, 20)) for y := img.Bounds().Min.Y; y < img.Bounds().Max.Y; y++ { for x := img.Bounds().Min.X; x < img.Bounds().Max.X; x++ { img.SetRGBA(x, y, color.RGBA{0x80, 0x80, 0x80, 0xFF}) } } out := Resize(10, 10, img, Lanczos3) for y := out.Bounds().Min.Y; y < out.Bounds().Max.Y; y++ { for x := out.Bounds().Min.X; x < out.Bounds().Max.X; x++ { color := img.At(x, y).(color.RGBA) if color.R != 0x80 || color.G != 0x80 || color.B != 0x80 || color.A != 0xFF { t.Fail() } } } } func Test_Bounds(t *testing.T) { img := image.NewRGBA(image.Rect(20, 10, 200, 99)) out := Resize(80, 80, img, Lanczos2) out.At(0, 0) } func Test_SameSizeReturnsOriginal(t *testing.T) { img := image.NewRGBA(image.Rect(0, 0, 10, 10)) out := Resize(0, 0, img, Lanczos2) if img != out { t.Fail() } out = Resize(10, 10, img, Lanczos2) if img != out { t.Fail() } } const ( // Use a small image size for benchmarks. We don't want memory performance // to affect the benchmark results. benchMaxX = 250 benchMaxY = 250 // Resize values near the original size require increase the amount of time // resize spends converting the image. benchWidth = 200 benchHeight = 200 ) func benchRGBA(b *testing.B, interp InterpolationFunction) { m := image.NewRGBA(image.Rect(0, 0, benchMaxX, benchMaxY)) // Initialize m's pixels to create a non-uniform image. for y := m.Rect.Min.Y; y < m.Rect.Max.Y; y++ { for x := m.Rect.Min.X; x < m.Rect.Max.X; x++ { i := m.PixOffset(x, y) m.Pix[i+0] = uint8(y + 4*x) m.Pix[i+1] = uint8(y + 4*x) m.Pix[i+2] = uint8(y + 4*x) m.Pix[i+3] = uint8(4*y + x) } } var out image.Image b.ResetTimer() for i := 0; i < b.N; i++ { out = Resize(benchWidth, benchHeight, m, interp) } out.At(0, 0) } // The names of some interpolation functions are truncated so that the columns // of 'go test -bench' line up. func Benchmark_Nearest_RGBA(b *testing.B) { benchRGBA(b, NearestNeighbor) } func Benchmark_Bilinear_RGBA(b *testing.B) { benchRGBA(b, Bilinear) } func Benchmark_Bicubic_RGBA(b *testing.B) { benchRGBA(b, Bicubic) } func Benchmark_Mitchell_RGBA(b *testing.B) { benchRGBA(b, MitchellNetravali) } func Benchmark_Lanczos2_RGBA(b *testing.B) { benchRGBA(b, Lanczos2) } func Benchmark_Lanczos3_RGBA(b *testing.B) { benchRGBA(b, Lanczos3) } func benchYCbCr(b *testing.B, interp InterpolationFunction) { m := image.NewYCbCr(image.Rect(0, 0, benchMaxX, benchMaxY), image.YCbCrSubsampleRatio422) // Initialize m's pixels to create a non-uniform image. for y := m.Rect.Min.Y; y < m.Rect.Max.Y; y++ { for x := m.Rect.Min.X; x < m.Rect.Max.X; x++ { yi := m.YOffset(x, y) ci := m.COffset(x, y) m.Y[yi] = uint8(16*y + x) m.Cb[ci] = uint8(y + 16*x) m.Cr[ci] = uint8(y + 16*x) } } var out image.Image b.ResetTimer() for i := 0; i < b.N; i++ { out = Resize(benchWidth, benchHeight, m, interp) } out.At(0, 0) } func Benchmark_Nearest_YCC(b *testing.B) { benchYCbCr(b, NearestNeighbor) } func Benchmark_Bilinear_YCC(b *testing.B) { benchYCbCr(b, Bilinear) } func Benchmark_Bicubic_YCC(b *testing.B) { benchYCbCr(b, Bicubic) } func Benchmark_Mitchell_YCC(b *testing.B) { benchYCbCr(b, MitchellNetravali) } func Benchmark_Lanczos2_YCC(b *testing.B) { benchYCbCr(b, Lanczos2) } func Benchmark_Lanczos3_YCC(b *testing.B) { benchYCbCr(b, Lanczos3) }