297 lines
7.4 KiB
Go
297 lines
7.4 KiB
Go
package face_detection
|
|
|
|
import (
|
|
"log"
|
|
"path/filepath"
|
|
"sync"
|
|
|
|
"github.com/Kagami/go-face"
|
|
"github.com/photoview/photoview/api/graphql/models"
|
|
"github.com/pkg/errors"
|
|
"gorm.io/gorm"
|
|
)
|
|
|
|
type FaceDetector struct {
|
|
mutex sync.Mutex
|
|
rec *face.Recognizer
|
|
faceDescriptors []face.Descriptor
|
|
faceGroupIDs []int32
|
|
imageFaceIDs []int
|
|
}
|
|
|
|
var GlobalFaceDetector FaceDetector
|
|
|
|
func InitializeFaceDetector(db *gorm.DB) error {
|
|
|
|
log.Println("Initializing face detector")
|
|
|
|
rec, err := face.NewRecognizer(filepath.Join("data", "models"))
|
|
if err != nil {
|
|
return errors.Wrap(err, "initialize facedetect recognizer")
|
|
}
|
|
|
|
faceDescriptors, faceGroupIDs, imageFaceIDs, err := getSamplesFromDatabase(db)
|
|
if err != nil {
|
|
return errors.Wrap(err, "get face detection samples from database")
|
|
}
|
|
|
|
GlobalFaceDetector = FaceDetector{
|
|
rec: rec,
|
|
faceDescriptors: faceDescriptors,
|
|
faceGroupIDs: faceGroupIDs,
|
|
imageFaceIDs: imageFaceIDs,
|
|
}
|
|
|
|
return nil
|
|
}
|
|
|
|
func getSamplesFromDatabase(db *gorm.DB) (samples []face.Descriptor, faceGroupIDs []int32, imageFaceIDs []int, err error) {
|
|
|
|
var imageFaces []*models.ImageFace
|
|
|
|
if err = db.Find(&imageFaces).Error; err != nil {
|
|
return
|
|
}
|
|
|
|
samples = make([]face.Descriptor, len(imageFaces))
|
|
faceGroupIDs = make([]int32, len(imageFaces))
|
|
imageFaceIDs = make([]int, len(imageFaces))
|
|
|
|
for i, imgFace := range imageFaces {
|
|
samples[i] = face.Descriptor(imgFace.Descriptor)
|
|
faceGroupIDs[i] = int32(imgFace.FaceGroupID)
|
|
imageFaceIDs[i] = imgFace.ID
|
|
}
|
|
|
|
return
|
|
}
|
|
|
|
// ReloadFacesFromDatabase replaces the in-memory face descriptors with the ones in the database
|
|
func (fd *FaceDetector) ReloadFacesFromDatabase(db *gorm.DB) error {
|
|
faceDescriptors, faceGroupIDs, imageFaceIDs, err := getSamplesFromDatabase(db)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
fd.mutex.Lock()
|
|
defer fd.mutex.Unlock()
|
|
|
|
fd.faceDescriptors = faceDescriptors
|
|
fd.faceGroupIDs = faceGroupIDs
|
|
fd.imageFaceIDs = imageFaceIDs
|
|
|
|
return nil
|
|
}
|
|
|
|
// DetectFaces finds the faces in the given image and saves them to the database
|
|
func (fd *FaceDetector) DetectFaces(tx *gorm.DB, media *models.Media) error {
|
|
if err := tx.Model(media).Preload("MediaURL").First(&media).Error; err != nil {
|
|
return err
|
|
}
|
|
|
|
var thumbnailURL *models.MediaURL
|
|
for _, url := range media.MediaURL {
|
|
if url.Purpose == models.PhotoThumbnail {
|
|
thumbnailURL = &url
|
|
thumbnailURL.Media = media
|
|
break
|
|
}
|
|
}
|
|
|
|
if thumbnailURL == nil {
|
|
return errors.New("thumbnail url is missing")
|
|
}
|
|
|
|
thumbnailPath, err := thumbnailURL.CachedPath()
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
fd.mutex.Lock()
|
|
faces, err := fd.rec.RecognizeFile(thumbnailPath)
|
|
fd.mutex.Unlock()
|
|
|
|
if err != nil {
|
|
return errors.Wrap(err, "error read faces")
|
|
}
|
|
|
|
for _, face := range faces {
|
|
fd.classifyFace(tx, &face, media, thumbnailPath)
|
|
}
|
|
|
|
return nil
|
|
}
|
|
|
|
func (fd *FaceDetector) classifyDescriptor(descriptor face.Descriptor) int32 {
|
|
return int32(fd.rec.ClassifyThreshold(descriptor, 0.2))
|
|
}
|
|
|
|
func (fd *FaceDetector) classifyFace(tx *gorm.DB, face *face.Face, media *models.Media, imagePath string) error {
|
|
fd.mutex.Lock()
|
|
defer fd.mutex.Unlock()
|
|
|
|
match := fd.classifyDescriptor(face.Descriptor)
|
|
|
|
faceRect, err := models.ToDBFaceRectangle(face.Rectangle, imagePath)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
imageFace := models.ImageFace{
|
|
MediaID: media.ID,
|
|
Descriptor: models.FaceDescriptor(face.Descriptor),
|
|
Rectangle: *faceRect,
|
|
}
|
|
|
|
var faceGroup models.FaceGroup
|
|
|
|
// If no match add it new to samples
|
|
if match < 0 {
|
|
log.Println("No match, assigning new face")
|
|
|
|
faceGroup = models.FaceGroup{
|
|
ImageFaces: []models.ImageFace{imageFace},
|
|
}
|
|
|
|
if err := tx.Create(&faceGroup).Error; err != nil {
|
|
return err
|
|
}
|
|
|
|
} else {
|
|
log.Println("Found match")
|
|
|
|
if err := tx.First(&faceGroup, int(match)).Error; err != nil {
|
|
return err
|
|
}
|
|
|
|
if err := tx.Model(&faceGroup).Association("ImageFaces").Append(&imageFace); err != nil {
|
|
return err
|
|
}
|
|
}
|
|
|
|
fd.faceDescriptors = append(fd.faceDescriptors, face.Descriptor)
|
|
fd.faceGroupIDs = append(fd.faceGroupIDs, int32(faceGroup.ID))
|
|
fd.imageFaceIDs = append(fd.imageFaceIDs, imageFace.ID)
|
|
|
|
fd.rec.SetSamples(fd.faceDescriptors, fd.faceGroupIDs)
|
|
return nil
|
|
}
|
|
|
|
func (fd *FaceDetector) MergeCategories(sourceID int32, destID int32) {
|
|
fd.mutex.Lock()
|
|
defer fd.mutex.Unlock()
|
|
|
|
for i := range fd.faceGroupIDs {
|
|
if fd.faceGroupIDs[i] == sourceID {
|
|
fd.faceGroupIDs[i] = destID
|
|
}
|
|
}
|
|
}
|
|
|
|
func (fd *FaceDetector) MergeImageFaces(imageFaceIDs []int, destFaceGroupID int32) {
|
|
fd.mutex.Lock()
|
|
defer fd.mutex.Unlock()
|
|
|
|
for i := range fd.faceGroupIDs {
|
|
imageFaceID := fd.imageFaceIDs[i]
|
|
|
|
for _, id := range imageFaceIDs {
|
|
if imageFaceID == id {
|
|
fd.faceGroupIDs[i] = destFaceGroupID
|
|
break
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
func (fd *FaceDetector) RecognizeUnlabeledFaces(tx *gorm.DB, user *models.User) ([]*models.ImageFace, error) {
|
|
unrecognizedDescriptors := make([]face.Descriptor, 0)
|
|
unrecognizedFaceGroupIDs := make([]int32, 0)
|
|
unrecognizedImageFaceIDs := make([]int, 0)
|
|
|
|
newFaceGroupIDs := make([]int32, 0)
|
|
newDescriptors := make([]face.Descriptor, 0)
|
|
newImageFaceIDs := make([]int, 0)
|
|
|
|
var unlabeledFaceGroups []*models.FaceGroup
|
|
|
|
err := tx.
|
|
Joins("JOIN image_faces ON image_faces.face_group_id = face_groups.id").
|
|
Joins("JOIN media ON image_faces.media_id = media.id").
|
|
Where("face_groups.label IS NULL").
|
|
Where("media.album_id IN (?)",
|
|
tx.Select("album_id").Table("user_albums").Where("user_id = ?", user.ID),
|
|
).
|
|
Find(&unlabeledFaceGroups).Error
|
|
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
fd.mutex.Lock()
|
|
defer fd.mutex.Unlock()
|
|
|
|
for i := range fd.faceDescriptors {
|
|
descriptor := fd.faceDescriptors[i]
|
|
faceGroupID := fd.faceGroupIDs[i]
|
|
imageFaceID := fd.imageFaceIDs[i]
|
|
|
|
isUnlabeled := false
|
|
for _, unlabeledFaceGroup := range unlabeledFaceGroups {
|
|
if faceGroupID == int32(unlabeledFaceGroup.ID) {
|
|
isUnlabeled = true
|
|
continue
|
|
}
|
|
}
|
|
|
|
if isUnlabeled {
|
|
unrecognizedFaceGroupIDs = append(unrecognizedFaceGroupIDs, faceGroupID)
|
|
unrecognizedDescriptors = append(unrecognizedDescriptors, descriptor)
|
|
unrecognizedImageFaceIDs = append(unrecognizedImageFaceIDs, imageFaceID)
|
|
} else {
|
|
newFaceGroupIDs = append(newFaceGroupIDs, faceGroupID)
|
|
newDescriptors = append(newDescriptors, descriptor)
|
|
newImageFaceIDs = append(newImageFaceIDs, imageFaceID)
|
|
}
|
|
}
|
|
|
|
fd.faceGroupIDs = newFaceGroupIDs
|
|
fd.faceDescriptors = newDescriptors
|
|
fd.imageFaceIDs = newImageFaceIDs
|
|
|
|
updatedImageFaces := make([]*models.ImageFace, 0)
|
|
|
|
for i := range unrecognizedDescriptors {
|
|
descriptor := unrecognizedDescriptors[i]
|
|
faceGroupID := unrecognizedFaceGroupIDs[i]
|
|
imageFaceID := unrecognizedImageFaceIDs[i]
|
|
|
|
match := fd.classifyDescriptor(descriptor)
|
|
|
|
if match < 0 {
|
|
// still no match, we can readd it to the list
|
|
fd.faceGroupIDs = append(fd.faceGroupIDs, faceGroupID)
|
|
fd.faceDescriptors = append(fd.faceDescriptors, descriptor)
|
|
fd.imageFaceIDs = append(fd.imageFaceIDs, imageFaceID)
|
|
} else {
|
|
// found new match, update the database
|
|
var imageFace models.ImageFace
|
|
if err := tx.Model(&models.ImageFace{}).First(imageFace, imageFaceID).Error; err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
if err := tx.Model(&imageFace).Update("face_group_id", int(faceGroupID)).Error; err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
updatedImageFaces = append(updatedImageFaces, &imageFace)
|
|
|
|
fd.faceGroupIDs = append(fd.faceGroupIDs, match)
|
|
fd.faceDescriptors = append(fd.faceDescriptors, descriptor)
|
|
fd.imageFaceIDs = append(fd.imageFaceIDs, imageFaceID)
|
|
}
|
|
}
|
|
|
|
return updatedImageFaces, nil
|
|
}
|