mirror of https://github.com/status-im/resize.git
Tests added
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README.md
47
README.md
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@ -29,10 +29,49 @@ resize.Resize(w int, h int, img image.Image, interp InterpolationFunction) image
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The provided interpolation functions are
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The provided interpolation functions are
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- NearestNeighbor: Nearest-neighbor interpolation
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- NearestNeighbor: [Nearest-neighbor interpolation](http://en.wikipedia.org/wiki/Nearest-neighbor_interpolation)
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- Bilinear: Bilinear interpolation
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- Bilinear: [Bilinear interpolation](http://en.wikipedia.org/wiki/Bilinear_interpolation)
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- Bicubic: Bicubic interpolation
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- Bicubic: [Bicubic interpolation](http://en.wikipedia.org/wiki/Bicubic_interpolation)
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- Lanczos3: Convolution with windowed Sinc function, a=3
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- Lanczos3: [Lanczos resampling](http://en.wikipedia.org/wiki/Lanczos_resampling) with a=3
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Sample usage:
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```go
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package main
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import (
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"github.com/nfnt/resize"
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"image/jpeg"
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"os"
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)
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func main() {
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// open "test.jpg"
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file, err := os.Open("test.jpg")
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if err != nil {
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return
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}
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// decode jpeg into image.Image
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img, err := jpeg.Decode(file)
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if err != nil {
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return
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}
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file.Close()
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// resize to width 1000 using Lanczos resampling
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m := resize.Resize(1000, -1, img, resize.Lanczos3)
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out, err := os.Create("test_resized.jpg")
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if err != nil {
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return
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}
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defer out.Close()
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// write new image to file
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jpeg.Encode(out, m, nil)
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}
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```
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License
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License
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=======
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=======
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@ -47,6 +47,13 @@ func (t *Trans2) Eval(x, y float32) (u, v float32) {
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// Calculate scaling factors using old and new image dimensions.
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// Calculate scaling factors using old and new image dimensions.
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func calcFactors(w, h int, wo, ho float32) (sx, sy float32) {
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func calcFactors(w, h int, wo, ho float32) (sx, sy float32) {
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if w <= 0 {
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w = -1
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}
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if h <= 0 {
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h = -1
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}
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if w == -1 {
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if w == -1 {
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if h == -1 {
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if h == -1 {
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sx = 1.0
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sx = 1.0
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@ -6,13 +6,44 @@ import (
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"testing"
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"testing"
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)
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)
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var img = image.NewGray16(image.Rect(0, 0, 3, 3))
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func Test_Nearest(t *testing.T) {
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func Test_Nearest(t *testing.T) {
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img := image.NewGray16(image.Rect(0,0, 3,3))
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img.Set(1, 1, color.White)
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img.Set(1,1, color.White)
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m := Resize(6, -1, img, NearestNeighbor)
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m := Resize(6,-1, img, NearestNeighbor)
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if m.At(2, 2) != m.At(3, 3) {
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if m.At(2,2) != m.At(3,3) {
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t.Fail()
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}
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}
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func Test_Param1(t *testing.T) {
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m := Resize(-1, -1, img, NearestNeighbor)
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if m.Bounds() != img.Bounds() {
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t.Fail()
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}
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}
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func Test_Param2(t *testing.T) {
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m := Resize(-100, -1, img, NearestNeighbor)
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if m.Bounds() != img.Bounds() {
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t.Fail()
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}
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}
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func Test_Param3(t *testing.T) {
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m := Resize(0, -1, img, NearestNeighbor)
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if m.Bounds() != img.Bounds() {
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t.Fail()
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}
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}
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func Test_ZeroImg(t *testing.T) {
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zeroImg := image.NewGray16(image.Rect(0, 0, 0, 0))
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m := Resize(-1, -1, zeroImg, NearestNeighbor)
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if m.Bounds() != zeroImg.Bounds() {
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t.Fail()
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t.Fail()
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}
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}
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}
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}
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