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  1. package imaging_test
  2.  
  3. import (
  4.     "image"
  5.     "image/color"
  6.     "log"
  7.  
  8.     "github.com/disintegration/imaging"
  9. )
  10.  
  11. func Example() {
  12.     // Open a test image.
  13.     src, err := imaging.Open("testdata/flowers.png")
  14.     if err != nil {
  15.         log.Fatalf("failed to open image: %v", err)
  16.     }
  17.  
  18.     // Crop the original image to 300x300px size using the center anchor.
  19.     src = imaging.CropAnchor(src, 300, 300, imaging.Center)
  20.  
  21.     // Resize the cropped image to width = 200px preserving the aspect ratio.
  22.     src = imaging.Resize(src, 200, 0, imaging.Lanczos)
  23.  
  24.     // Create a blurred version of the image.
  25.     img1 := imaging.Blur(src, 5)
  26.  
  27.     // Create a grayscale version of the image with higher contrast and sharpness.
  28.     img2 := imaging.Grayscale(src)
  29.     img2 = imaging.AdjustContrast(img2, 20)
  30.     img2 = imaging.Sharpen(img2, 2)
  31.  
  32.     // Create an inverted version of the image.
  33.     img3 := imaging.Invert(src)
  34.  
  35.     // Create an embossed version of the image using a convolution filter.
  36.     img4 := imaging.Convolve3x3(
  37.         src,
  38.         [9]float64{
  39.             -1, -1, 0,
  40.             -1, 1, 1,
  41.             0, 1, 1,
  42.         },
  43.         nil,
  44.     )
  45.  
  46.     // Create a new image and paste the four produced images into it.
  47.     dst := imaging.New(400, 400, color.NRGBA{0, 0, 0, 0})
  48.     dst = imaging.Paste(dst, img1, image.Pt(0, 0))
  49.     dst = imaging.Paste(dst, img2, image.Pt(0, 200))
  50.     dst = imaging.Paste(dst, img3, image.Pt(200, 0))
  51.     dst = imaging.Paste(dst, img4, image.Pt(200, 200))
  52.  
  53.     // Save the resulting image as JPEG.
  54.     err = imaging.Save(dst, "testdata/out_example.jpg")
  55.     if err != nil {
  56.         log.Fatalf("failed to save image: %v", err)
  57.     }
  58. }
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