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benchmark_test.go
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benchmark_test.go
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package slic
import (
"image"
_ "image/jpeg"
"os"
"sync"
"testing"
)
const C float64 = 2000.0 // Compactness
const S int = 40 // Superpixel Size
var (
inputImageName string = "test_images/clown_fish.jpg"
inputImage image.Image = nil
s *SLIC = nil
)
func loadInputImage() image.Image {
if inputImage != nil {
return inputImage
}
file, err := os.Open(inputImageName)
if err != nil {
panic(err)
}
src_img, _, err := image.Decode(file)
if err != nil {
panic(err)
}
return src_img
}
func BenchmarkInitial(b *testing.B) {
img := loadInputImage()
for n := 0; n < b.N; n++ {
s = MakeSlic(img, C, S)
}
}
func BenchmarkImageToLab(b *testing.B) {
img := loadInputImage()
if s == nil {
s = MakeSlic(img, C, S)
}
for n := 0; n < b.N; n++ {
s.lvec, s.avec, s.bvec = imageToLab(img)
}
}
func BenchmarkLabeling(b *testing.B) {
img := loadInputImage()
if s == nil {
s = MakeSlic(img, C, S)
}
for n := 0; n < b.N; n++ {
s.resetDistances()
var wg sync.WaitGroup
for n := range s.superpixels {
superpixel := s.superpixels[n]
go s.labelPixelsInSuperpixel(superpixel, &wg)
}
wg.Wait()
}
}
func BenchmarkCentroids(b *testing.B) {
img := loadInputImage()
if s == nil {
s = MakeSlic(img, C, S)
// Just run one dummy iteration
s.resetDistances()
var wg sync.WaitGroup
for i := range s.superpixels {
superpixel := s.superpixels[i]
go s.labelPixelsInSuperpixel(superpixel, &wg)
}
wg.Wait()
}
for n := 0; n < b.N; n++ {
s.recalculateCentroids()
}
}
func BenchmarkConnect(b *testing.B) {
img := loadInputImage()
if s == nil {
s = MakeSlic(img, C, S)
// Just run one dummy iteration
s.resetDistances()
var wg sync.WaitGroup
for i := range s.superpixels {
superpixel := s.superpixels[i]
go s.labelPixelsInSuperpixel(superpixel, &wg)
}
wg.Wait()
}
for n := 0; n < b.N; n++ {
new_labels := s.enforceLabelConnectivity()
for i := 0; i < s.sz; i++ {
s.Labels[i] = new_labels[i]
}
}
}