Ubuntu下安装gocv

package main

import (
	"gocv.io/x/gocv"
)

func main() {
	image := gocv.IMRead("./test.png", gocv.IMReadColor)
	//构建窗口
	window := gocv.NewWindow("img")
	window.ResizeWindow(500, 300)

	//在窗口展示图片
	window.IMShow(image)
	window.WaitKey(0)
	window.Close()
}

package main

import (
 "gocv.io/x/gocv"
 "log"
 "math"
)

type Image []float32

func main() {
 imageFilePath := "../../data/Lena.png"
 originalMat := gocv.IMRead(imageFilePath, gocv.IMReadGrayScale)
 if originalMat.Empty() {
  log.Panic("Can not read image: " + imageFilePath)
  return
 }

 originalImage := originalMat.ToBytes()
 targetImage := make(Image, len(originalImage))
 for i := 0; i < len(targetImage); i++ {
  targetImage[i] = float32(originalImage[i]) / 255
 }

 targetImage.zeroAverageMatrix()
 log.Println(targetImage)

 targetImage.dispersionMatrix()
 log.Println(targetImage)
}

func (image *Image) zeroAverageMatrix() {
 average := image.average()

 for i := 0; i < len(*image); i++ {
  (*image)[i] = (*image)[i] - average
 }
}

func (image *Image) dispersionMatrix() {
 average := image.average()
 tempImage := image.clone()
 length := len(tempImage)

 for i := 0; i < length; i++ {
  tempImage[i] = float32(math.Pow(float64(tempImage[i]-average), 2))
 }

 sum := tempImage.sum()

 standardDeviation := sum / float32(length-1)

 for i := 0; i < length; i++ {
  (*image)[i] = (*image)[i] / standardDeviation
 }
}

func (image Image) sum() float32 {
 length := len(image)
 var sum float32 = 0
 for i := 0; i < length; i++ {
  sum = sum + image[i]
 }

 return sum
}

func (image Image) average() float32 {
 length := len(image)
 sum := image.sum()

 return sum / float32(length)
}

func (image Image) clone() Image {
 length := len(image)
 cloneImage := make([]float32, length)
 for i := 0; i < length; i++ {
  cloneImage[i] = image[i]
 }

 return cloneImage
}