mirror of https://github.com/liamg/aminal.git
59 lines
1.5 KiB
Go
59 lines
1.5 KiB
Go
package imaging_test
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import (
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"image"
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"image/color"
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"log"
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"github.com/disintegration/imaging"
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)
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func Example() {
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// Open a test image.
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src, err := imaging.Open("testdata/flowers.png")
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if err != nil {
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log.Fatalf("failed to open image: %v", err)
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}
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// Crop the original image to 300x300px size using the center anchor.
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src = imaging.CropAnchor(src, 300, 300, imaging.Center)
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// Resize the cropped image to width = 200px preserving the aspect ratio.
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src = imaging.Resize(src, 200, 0, imaging.Lanczos)
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// Create a blurred version of the image.
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img1 := imaging.Blur(src, 5)
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// Create a grayscale version of the image with higher contrast and sharpness.
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img2 := imaging.Grayscale(src)
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img2 = imaging.AdjustContrast(img2, 20)
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img2 = imaging.Sharpen(img2, 2)
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// Create an inverted version of the image.
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img3 := imaging.Invert(src)
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// Create an embossed version of the image using a convolution filter.
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img4 := imaging.Convolve3x3(
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src,
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[9]float64{
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-1, -1, 0,
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-1, 1, 1,
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0, 1, 1,
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},
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nil,
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)
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// Create a new image and paste the four produced images into it.
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dst := imaging.New(400, 400, color.NRGBA{0, 0, 0, 0})
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dst = imaging.Paste(dst, img1, image.Pt(0, 0))
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dst = imaging.Paste(dst, img2, image.Pt(0, 200))
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dst = imaging.Paste(dst, img3, image.Pt(200, 0))
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dst = imaging.Paste(dst, img4, image.Pt(200, 200))
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// Save the resulting image as JPEG.
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err = imaging.Save(dst, "testdata/out_example.jpg")
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if err != nil {
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log.Fatalf("failed to save image: %v", err)
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}
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}
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