Extract clustering.go

filesmap.go

@@ -7,10 +7,8 @@ import (
 	"image"
 	"os"
 	"path/filepath"
-	"slices"
 	"sync"
 
-	"github.com/steakknife/hamming"
 	"github.com/vbauerster/mpb/v8"
 )
 
@@ -174,45 +172,6 @@ func (fm *FilesMap) hashFile(path string, size int64) int64 {
 	return 1
 }
 
-type imageCluster struct {
-	images []similarImage
-}
-
-type similarImage struct {
-	path     string
-	distance int
-}
-
-func (fm *FilesMap) getImageClusters() []imageCluster {
-	var clusters []imageCluster
-
-	for len(fm.Images) > 0 {
-		file := fm.Images[0]
-		fm.Images = slices.Delete(fm.Images, 0, 1)
-
-		var currentCluster []similarImage
-		currentCluster = append(currentCluster, similarImage{path: file.path})
-		for otherIndex := len(fm.Images) - 1; otherIndex >= 0; otherIndex-- {
-			otherFile := fm.Images[otherIndex]
-			var distance = hamming.Uint64(file.imageHash, otherFile.imageHash)
-			if distance > 5 {
-				continue
-			}
-
-			fm.Images = slices.Delete(fm.Images, otherIndex, otherIndex+1)
-			currentCluster = append(currentCluster, similarImage{path: otherFile.path, distance: distance})
-		}
-
-		if len(currentCluster) == 1 {
-			continue
-		}
-
-		clusters = append(clusters, imageCluster{images: currentCluster})
-	}
-
-	return clusters
-}
-
 func (fm *FilesMap) hashImage(path string, size int64) {
 	fm.ImagesHashing <- imageEntry{path, size, 0}
 }