Merge branch 'disintegration-pixel_coordinate'
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commit
ce86eacf20
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@ -87,7 +87,7 @@ func createWeights8(dy, filterLength int, blur, scale float64, kernel func(float
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coeffs := make([]int16, dy*filterLength)
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start := make([]int, dy)
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for y := 0; y < dy; y++ {
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interpX := scale * (float64(y) + 0.5)
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interpX := scale*(float64(y)+0.5) - 0.5
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start[y] = int(interpX) - filterLength/2 + 1
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interpX -= float64(start[y])
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for i := 0; i < filterLength; i++ {
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@ -107,7 +107,7 @@ func createWeights16(dy, filterLength int, blur, scale float64, kernel func(floa
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coeffs := make([]int32, dy*filterLength)
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start := make([]int, dy)
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for y := 0; y < dy; y++ {
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interpX := scale * (float64(y) + 0.5)
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interpX := scale*(float64(y)+0.5) - 0.5
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start[y] = int(interpX) - filterLength/2 + 1
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interpX -= float64(start[y])
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for i := 0; i < filterLength; i++ {
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@ -126,7 +126,7 @@ func createWeightsNearest(dy, filterLength int, blur, scale float64) ([]bool, []
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coeffs := make([]bool, dy*filterLength)
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start := make([]int, dy)
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for y := 0; y < dy; y++ {
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interpX := scale * (float64(y) + 0.5)
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interpX := scale*(float64(y)+0.5) - 0.5
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start[y] = int(interpX) - filterLength/2 + 1
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interpX -= float64(start[y])
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for i := 0; i < filterLength; i++ {
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@ -85,6 +85,26 @@ func Test_SameSizeReturnsOriginal(t *testing.T) {
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}
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}
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func Test_PixelCoordinates(t *testing.T) {
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checkers := image.NewGray(image.Rect(0, 0, 4, 4))
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checkers.Pix = []uint8{
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255, 0, 255, 0,
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0, 255, 0, 255,
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255, 0, 255, 0,
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0, 255, 0, 255,
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}
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resized := Resize(12, 12, checkers, NearestNeighbor).(*image.Gray)
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if resized.Pix[0] != 255 || resized.Pix[1] != 255 || resized.Pix[2] != 255 {
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t.Fail()
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}
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if resized.Pix[3] != 0 || resized.Pix[4] != 0 || resized.Pix[5] != 0 {
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t.Fail()
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}
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}
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const (
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// Use a small image size for benchmarks. We don't want memory performance
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// to affect the benchmark results.
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