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Diffstat (limited to 'vendor/github.com/disintegration/imaging/convolution_test.go')
-rw-r--r--vendor/github.com/disintegration/imaging/convolution_test.go275
1 files changed, 275 insertions, 0 deletions
diff --git a/vendor/github.com/disintegration/imaging/convolution_test.go b/vendor/github.com/disintegration/imaging/convolution_test.go
new file mode 100644
index 000000000..5a824ead9
--- /dev/null
+++ b/vendor/github.com/disintegration/imaging/convolution_test.go
@@ -0,0 +1,275 @@
+package imaging
+
+import (
+ "image"
+ "testing"
+)
+
+func TestConvolve3x3(t *testing.T) {
+ testCases := []struct {
+ desc string
+ src image.Image
+ kernel [9]float64
+ options *ConvolveOptions
+ want *image.NRGBA
+ }{
+ {
+ "Convolve3x3 0x0",
+ &image.NRGBA{
+ Rect: image.Rect(0, 0, 0, 0),
+ Stride: 0,
+ Pix: []uint8{},
+ },
+ [9]float64{
+ 0, 0, 0,
+ 0, 1, 0,
+ 0, 0, 0,
+ },
+ nil,
+ &image.NRGBA{Rect: image.Rect(0, 0, 0, 0)},
+ },
+ {
+ "Convolve3x3 4x4 identity",
+ &image.NRGBA{
+ Rect: image.Rect(-1, -1, 3, 3),
+ Stride: 4 * 4,
+ Pix: []uint8{
+ 0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08, 0x09, 0x0a, 0x0b, 0x0c, 0x0d, 0x0e, 0x0f,
+ 0x10, 0x11, 0x12, 0x13, 0x14, 0x15, 0x16, 0x17, 0x18, 0x19, 0x1a, 0x1b, 0x1c, 0x1d, 0x1e, 0x1f,
+ 0x20, 0x21, 0x22, 0x23, 0x24, 0x25, 0x26, 0x27, 0x28, 0x29, 0x2a, 0x2b, 0x2c, 0x2d, 0x2e, 0x2f,
+ 0x30, 0x31, 0x32, 0x33, 0x34, 0x35, 0x36, 0x37, 0x38, 0x39, 0x3a, 0x3b, 0x3c, 0x3d, 0x3e, 0x3f,
+ },
+ },
+ [9]float64{
+ 0, 0, 0,
+ 0, 1, 0,
+ 0, 0, 0,
+ },
+ nil,
+ &image.NRGBA{
+ Rect: image.Rect(0, 0, 4, 4),
+ Stride: 4 * 4,
+ Pix: []uint8{
+ 0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08, 0x09, 0x0a, 0x0b, 0x0c, 0x0d, 0x0e, 0x0f,
+ 0x10, 0x11, 0x12, 0x13, 0x14, 0x15, 0x16, 0x17, 0x18, 0x19, 0x1a, 0x1b, 0x1c, 0x1d, 0x1e, 0x1f,
+ 0x20, 0x21, 0x22, 0x23, 0x24, 0x25, 0x26, 0x27, 0x28, 0x29, 0x2a, 0x2b, 0x2c, 0x2d, 0x2e, 0x2f,
+ 0x30, 0x31, 0x32, 0x33, 0x34, 0x35, 0x36, 0x37, 0x38, 0x39, 0x3a, 0x3b, 0x3c, 0x3d, 0x3e, 0x3f,
+ },
+ },
+ },
+ {
+ "Convolve3x3 4x4 abs",
+ &image.NRGBA{
+ Rect: image.Rect(-1, -1, 3, 3),
+ Stride: 4 * 4,
+ Pix: []uint8{
+ 0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08, 0x09, 0x0a, 0x0b, 0x0c, 0x0d, 0x0e, 0x0f,
+ 0x10, 0x11, 0x12, 0x13, 0x14, 0x15, 0x16, 0x17, 0x18, 0x19, 0x1a, 0x1b, 0x1c, 0x1d, 0x1e, 0x1f,
+ 0x20, 0x21, 0x22, 0x23, 0x24, 0x25, 0x26, 0x27, 0x28, 0x29, 0x2a, 0x2b, 0x2c, 0x2d, 0x2e, 0x2f,
+ 0x30, 0x31, 0x32, 0x33, 0x34, 0x35, 0x36, 0x37, 0x38, 0x39, 0x3a, 0x3b, 0x3c, 0x3d, 0x3e, 0x3f,
+ },
+ },
+ [9]float64{
+ 0, 0, 0,
+ 0, -1, 0,
+ 0, 0, 0,
+ },
+ &ConvolveOptions{Abs: true},
+ &image.NRGBA{
+ Rect: image.Rect(0, 0, 4, 4),
+ Stride: 4 * 4,
+ Pix: []uint8{
+ 0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08, 0x09, 0x0a, 0x0b, 0x0c, 0x0d, 0x0e, 0x0f,
+ 0x10, 0x11, 0x12, 0x13, 0x14, 0x15, 0x16, 0x17, 0x18, 0x19, 0x1a, 0x1b, 0x1c, 0x1d, 0x1e, 0x1f,
+ 0x20, 0x21, 0x22, 0x23, 0x24, 0x25, 0x26, 0x27, 0x28, 0x29, 0x2a, 0x2b, 0x2c, 0x2d, 0x2e, 0x2f,
+ 0x30, 0x31, 0x32, 0x33, 0x34, 0x35, 0x36, 0x37, 0x38, 0x39, 0x3a, 0x3b, 0x3c, 0x3d, 0x3e, 0x3f,
+ },
+ },
+ },
+ {
+ "Convolve3x3 4x4 bias",
+ &image.NRGBA{
+ Rect: image.Rect(-1, -1, 3, 3),
+ Stride: 4 * 4,
+ Pix: []uint8{
+ 0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08, 0x09, 0x0a, 0x0b, 0x0c, 0x0d, 0x0e, 0x0f,
+ 0x10, 0x11, 0x12, 0x13, 0x14, 0x15, 0x16, 0x17, 0x18, 0x19, 0x1a, 0x1b, 0x1c, 0x1d, 0x1e, 0x1f,
+ 0x20, 0x21, 0x22, 0x23, 0x24, 0x25, 0x26, 0x27, 0x28, 0x29, 0x2a, 0x2b, 0x2c, 0x2d, 0x2e, 0x2f,
+ 0x30, 0x31, 0x32, 0x33, 0x34, 0x35, 0x36, 0x37, 0x38, 0x39, 0x3a, 0x3b, 0x3c, 0x3d, 0x3e, 0x3f,
+ },
+ },
+ [9]float64{
+ 0, 0, 0,
+ 0, 1, 0,
+ 0, 0, 0,
+ },
+ &ConvolveOptions{Bias: 0x10},
+ &image.NRGBA{
+ Rect: image.Rect(0, 0, 4, 4),
+ Stride: 4 * 4,
+ Pix: []uint8{
+ 0x10, 0x11, 0x12, 0x03, 0x14, 0x15, 0x16, 0x07, 0x18, 0x19, 0x1a, 0x0b, 0x1c, 0x1d, 0x1e, 0x0f,
+ 0x20, 0x21, 0x22, 0x13, 0x24, 0x25, 0x26, 0x17, 0x28, 0x29, 0x2a, 0x1b, 0x2c, 0x2d, 0x2e, 0x1f,
+ 0x30, 0x31, 0x32, 0x23, 0x34, 0x35, 0x36, 0x27, 0x38, 0x39, 0x3a, 0x2b, 0x3c, 0x3d, 0x3e, 0x2f,
+ 0x40, 0x41, 0x42, 0x33, 0x44, 0x45, 0x46, 0x37, 0x48, 0x49, 0x4a, 0x3b, 0x4c, 0x4d, 0x4e, 0x3f,
+ },
+ },
+ },
+ {
+ "Convolve3x3 4x4 norm",
+ &image.NRGBA{
+ Rect: image.Rect(-1, -1, 3, 3),
+ Stride: 4 * 4,
+ Pix: []uint8{
+ 0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08, 0x09, 0x0a, 0x0b, 0x0c, 0x0d, 0x0e, 0x0f,
+ 0x10, 0x11, 0x12, 0x13, 0x14, 0x15, 0x16, 0x17, 0x18, 0x19, 0x1a, 0x1b, 0x1c, 0x1d, 0x1e, 0x1f,
+ 0x20, 0x21, 0x22, 0x23, 0x24, 0x25, 0x26, 0x27, 0x28, 0x29, 0x2a, 0x2b, 0x2c, 0x2d, 0x2e, 0x2f,
+ 0x30, 0x31, 0x32, 0x33, 0x34, 0x35, 0x36, 0x37, 0x38, 0x39, 0x3a, 0x3b, 0x3c, 0x3d, 0x3e, 0x3f,
+ },
+ },
+ [9]float64{
+ 1, 1, 1,
+ 1, 1, 1,
+ 1, 1, 1,
+ },
+ &ConvolveOptions{Normalize: true},
+ &image.NRGBA{
+ Rect: image.Rect(0, 0, 4, 4),
+ Stride: 4 * 4,
+ Pix: []uint8{
+ 0x07, 0x08, 0x09, 0x03, 0x09, 0x0a, 0x0b, 0x07, 0x0d, 0x0e, 0x0f, 0x0b, 0x10, 0x11, 0x12, 0x0f,
+ 0x11, 0x12, 0x13, 0x13, 0x14, 0x15, 0x16, 0x17, 0x18, 0x19, 0x1a, 0x1b, 0x1b, 0x1c, 0x1d, 0x1f,
+ 0x21, 0x22, 0x23, 0x23, 0x24, 0x25, 0x26, 0x27, 0x28, 0x29, 0x2a, 0x2b, 0x2b, 0x2c, 0x2d, 0x2f,
+ 0x2c, 0x2d, 0x2e, 0x33, 0x2f, 0x30, 0x31, 0x37, 0x33, 0x34, 0x35, 0x3b, 0x35, 0x36, 0x37, 0x3f,
+ },
+ },
+ },
+ {
+ "Convolve3x3 3x3 laplacian",
+ &image.NRGBA{
+ Rect: image.Rect(-1, -1, 2, 2),
+ Stride: 3 * 4,
+ Pix: []uint8{
+ 0x00, 0x01, 0x01, 0xff, 0x00, 0x01, 0x02, 0xff, 0x00, 0x01, 0x03, 0xff,
+ 0x00, 0x01, 0x04, 0xff, 0x10, 0x10, 0x10, 0xff, 0x00, 0x01, 0x05, 0xff,
+ 0x00, 0x01, 0x06, 0xff, 0x00, 0x01, 0x07, 0xff, 0x00, 0x01, 0x08, 0xff,
+ },
+ },
+ [9]float64{
+ -1, -1, -1,
+ -1, 8, -1,
+ -1, -1, -1,
+ },
+ nil,
+ &image.NRGBA{
+ Rect: image.Rect(0, 0, 3, 3),
+ Stride: 3 * 4,
+ Pix: []uint8{
+ 0x00, 0x00, 0x00, 0xff, 0x00, 0x00, 0x00, 0xff, 0x00, 0x00, 0x00, 0xff,
+ 0x00, 0x00, 0x00, 0xff, 0x80, 0x78, 0x5c, 0xff, 0x00, 0x00, 0x00, 0xff,
+ 0x00, 0x00, 0x00, 0xff, 0x00, 0x00, 0x00, 0xff, 0x00, 0x00, 0x00, 0xff,
+ },
+ },
+ },
+ }
+
+ for _, tc := range testCases {
+ got := Convolve3x3(tc.src, tc.kernel, tc.options)
+ want := tc.want
+ if !compareNRGBA(got, want, 0) {
+ t.Errorf("test [%s] failed: want %#v got %#v", tc.desc, want, got)
+ }
+ }
+}
+
+func TestConvolve5x5(t *testing.T) {
+ testCases := []struct {
+ desc string
+ src image.Image
+ kernel [25]float64
+ options *ConvolveOptions
+ want *image.NRGBA
+ }{
+ {
+ "Convolve5x5 4x4 translate",
+ &image.NRGBA{
+ Rect: image.Rect(-1, -1, 3, 3),
+ Stride: 4 * 4,
+ Pix: []uint8{
+ 0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08, 0x09, 0x0a, 0x0b, 0x0c, 0x0d, 0x0e, 0x0f,
+ 0x10, 0x11, 0x12, 0x13, 0x14, 0x15, 0x16, 0x17, 0x18, 0x19, 0x1a, 0x1b, 0x1c, 0x1d, 0x1e, 0x1f,
+ 0x20, 0x21, 0x22, 0x23, 0x24, 0x25, 0x26, 0x27, 0x28, 0x29, 0x2a, 0x2b, 0x2c, 0x2d, 0x2e, 0x2f,
+ 0x30, 0x31, 0x32, 0x33, 0x34, 0x35, 0x36, 0x37, 0x38, 0x39, 0x3a, 0x3b, 0x3c, 0x3d, 0x3e, 0x3f,
+ },
+ },
+ [25]float64{
+ 0, 0, 0, 0, 0,
+ 0, 0, 0, 0, 0,
+ 0, 0, 0, 0, 0,
+ 0, 0, 0, 0, 0,
+ 0, 0, 0, 0, 1,
+ },
+ nil,
+ &image.NRGBA{
+ Rect: image.Rect(0, 0, 4, 4),
+ Stride: 4 * 4,
+ Pix: []uint8{
+ 0x28, 0x29, 0x2a, 0x03, 0x2c, 0x2d, 0x2e, 0x07, 0x2c, 0x2d, 0x2e, 0x0b, 0x2c, 0x2d, 0x2e, 0x0f,
+ 0x38, 0x39, 0x3a, 0x13, 0x3c, 0x3d, 0x3e, 0x17, 0x3c, 0x3d, 0x3e, 0x1b, 0x3c, 0x3d, 0x3e, 0x1f,
+ 0x38, 0x39, 0x3a, 0x23, 0x3c, 0x3d, 0x3e, 0x27, 0x3c, 0x3d, 0x3e, 0x2b, 0x3c, 0x3d, 0x3e, 0x2f,
+ 0x38, 0x39, 0x3a, 0x33, 0x3c, 0x3d, 0x3e, 0x37, 0x3c, 0x3d, 0x3e, 0x3b, 0x3c, 0x3d, 0x3e, 0x3f,
+ },
+ },
+ },
+ }
+
+ for _, tc := range testCases {
+ got := Convolve5x5(tc.src, tc.kernel, tc.options)
+ want := tc.want
+ if !compareNRGBA(got, want, 0) {
+ t.Errorf("test [%s] failed: want %#v got %#v", tc.desc, want, got)
+ }
+ }
+}
+
+func BenchmarkConvolve3x3(b *testing.B) {
+ b.StopTimer()
+ img, err := Open("testdata/lena_512.png")
+ if err != nil {
+ b.Fatalf("Open: %v", err)
+ }
+ b.StartTimer()
+ for i := 0; i < b.N; i++ {
+ Convolve3x3(
+ img,
+ [9]float64{
+ -1, -1, 0,
+ -1, 0, 1,
+ 0, 1, 1,
+ },
+ nil,
+ )
+ }
+}
+
+func BenchmarkConvolve5x5(b *testing.B) {
+ b.StopTimer()
+ img, err := Open("testdata/lena_512.png")
+ if err != nil {
+ b.Fatalf("Open: %v", err)
+ }
+ b.StartTimer()
+ for i := 0; i < b.N; i++ {
+ Convolve5x5(
+ img,
+ [25]float64{
+ -1, -1, -1, -1, 0,
+ -1, -1, -1, 0, 1,
+ -1, -1, 0, 1, 1,
+ -1, 0, 1, 1, 1,
+ 0, 1, 1, 1, 1,
+ },
+ nil,
+ )
+ }
+}
generated by cgit v1.2.3-1-g7c22 (git 2.25.1) at 2024-05-20 15:38:54 +0000