Make face detection optional at build-time (#881)
Add a "no_face_detection" build tag to disable face detection when building. This is useful when installing the face detection dependencies is undesirable and cuts down build times (e.g. on a Raspberry Pi).
This commit is contained in:
Simon Ser
GitHub
parent
896cd1c2fe
commit
d0d0bf21bc
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@ -9,7 +9,6 @@ import (
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"strconv"
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"strings"
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"github.com/Kagami/go-face"
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"github.com/photoview/photoview/api/database/drivers"
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"github.com/photoview/photoview/api/scanner/media_encoding/media_utils"
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"gorm.io/gorm"
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@ -45,7 +44,7 @@ func (f *ImageFace) FillMedia(db *gorm.DB) error {
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return nil
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}
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type FaceDescriptor face.Descriptor
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type FaceDescriptor [128]float32 // same as go-face's Descriptor
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// GormDataType datatype used in database
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func (FaceDescriptor) GormDBDataType(db *gorm.DB, field *schema.Field) string {
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@ -1,300 +1,17 @@
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package face_detection
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import (
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"log"
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"sync"
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"github.com/Kagami/go-face"
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"github.com/photoview/photoview/api/graphql/models"
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"github.com/photoview/photoview/api/utils"
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"github.com/pkg/errors"
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"gorm.io/gorm"
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"github.com/photoview/photoview/api/graphql/models"
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)
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type FaceDetector struct {
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mutex sync.Mutex
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rec *face.Recognizer
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faceDescriptors []face.Descriptor
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faceGroupIDs []int32
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imageFaceIDs []int
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type FaceDetector interface {
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ReloadFacesFromDatabase(db *gorm.DB) error
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DetectFaces(db *gorm.DB, media *models.Media) error
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MergeCategories(sourceID int32, destID int32)
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MergeImageFaces(imageFaceIDs []int, destFaceGroupID int32)
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RecognizeUnlabeledFaces(tx *gorm.DB, user *models.User) ([]*models.ImageFace, error)
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}
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var GlobalFaceDetector *FaceDetector = nil
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func InitializeFaceDetector(db *gorm.DB) error {
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if utils.EnvDisableFaceRecognition.GetBool() {
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log.Printf("Face detection disabled (%s=1)\n", utils.EnvDisableFaceRecognition.GetName())
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return nil
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}
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log.Println("Initializing face detector")
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rec, err := face.NewRecognizer(utils.FaceRecognitionModelsPath())
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if err != nil {
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return errors.Wrap(err, "initialize facedetect recognizer")
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}
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faceDescriptors, faceGroupIDs, imageFaceIDs, err := getSamplesFromDatabase(db)
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if err != nil {
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return errors.Wrap(err, "get face detection samples from database")
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}
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GlobalFaceDetector = &FaceDetector{
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rec: rec,
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faceDescriptors: faceDescriptors,
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faceGroupIDs: faceGroupIDs,
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imageFaceIDs: imageFaceIDs,
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}
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return nil
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}
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func getSamplesFromDatabase(db *gorm.DB) (samples []face.Descriptor, faceGroupIDs []int32, imageFaceIDs []int, err error) {
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var imageFaces []*models.ImageFace
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if err = db.Find(&imageFaces).Error; err != nil {
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return
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}
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samples = make([]face.Descriptor, len(imageFaces))
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faceGroupIDs = make([]int32, len(imageFaces))
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imageFaceIDs = make([]int, len(imageFaces))
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for i, imgFace := range imageFaces {
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samples[i] = face.Descriptor(imgFace.Descriptor)
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faceGroupIDs[i] = int32(imgFace.FaceGroupID)
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imageFaceIDs[i] = imgFace.ID
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}
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return
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}
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// ReloadFacesFromDatabase replaces the in-memory face descriptors with the ones in the database
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func (fd *FaceDetector) ReloadFacesFromDatabase(db *gorm.DB) error {
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faceDescriptors, faceGroupIDs, imageFaceIDs, err := getSamplesFromDatabase(db)
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if err != nil {
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return err
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}
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fd.mutex.Lock()
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defer fd.mutex.Unlock()
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fd.faceDescriptors = faceDescriptors
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fd.faceGroupIDs = faceGroupIDs
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fd.imageFaceIDs = imageFaceIDs
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return nil
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}
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// DetectFaces finds the faces in the given image and saves them to the database
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func (fd *FaceDetector) DetectFaces(db *gorm.DB, media *models.Media) error {
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if err := db.Model(media).Preload("MediaURL").First(&media).Error; err != nil {
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return err
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}
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var thumbnailURL *models.MediaURL
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for _, url := range media.MediaURL {
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if url.Purpose == models.PhotoThumbnail {
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thumbnailURL = &url
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thumbnailURL.Media = media
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break
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}
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}
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if thumbnailURL == nil {
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return errors.New("thumbnail url is missing")
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}
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thumbnailPath, err := thumbnailURL.CachedPath()
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if err != nil {
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return err
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}
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fd.mutex.Lock()
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faces, err := fd.rec.RecognizeFile(thumbnailPath)
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fd.mutex.Unlock()
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if err != nil {
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return errors.Wrap(err, "error read faces")
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}
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for _, face := range faces {
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fd.classifyFace(db, &face, media, thumbnailPath)
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}
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return nil
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}
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func (fd *FaceDetector) classifyDescriptor(descriptor face.Descriptor) int32 {
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return int32(fd.rec.ClassifyThreshold(descriptor, 0.2))
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}
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func (fd *FaceDetector) classifyFace(db *gorm.DB, face *face.Face, media *models.Media, imagePath string) error {
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fd.mutex.Lock()
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defer fd.mutex.Unlock()
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match := fd.classifyDescriptor(face.Descriptor)
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faceRect, err := models.ToDBFaceRectangle(face.Rectangle, imagePath)
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if err != nil {
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return err
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}
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imageFace := models.ImageFace{
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MediaID: media.ID,
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Descriptor: models.FaceDescriptor(face.Descriptor),
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Rectangle: *faceRect,
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}
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var faceGroup models.FaceGroup
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// If no match add it new to samples
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if match < 0 {
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log.Println("No match, assigning new face")
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faceGroup = models.FaceGroup{
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ImageFaces: []models.ImageFace{imageFace},
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}
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if err := db.Create(&faceGroup).Error; err != nil {
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return err
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}
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} else {
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log.Println("Found match")
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if err := db.First(&faceGroup, int(match)).Error; err != nil {
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return err
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}
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if err := db.Model(&faceGroup).Association("ImageFaces").Append(&imageFace); err != nil {
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return err
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}
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}
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fd.faceDescriptors = append(fd.faceDescriptors, face.Descriptor)
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fd.faceGroupIDs = append(fd.faceGroupIDs, int32(faceGroup.ID))
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fd.imageFaceIDs = append(fd.imageFaceIDs, imageFace.ID)
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fd.rec.SetSamples(fd.faceDescriptors, fd.faceGroupIDs)
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return nil
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}
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func (fd *FaceDetector) MergeCategories(sourceID int32, destID int32) {
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fd.mutex.Lock()
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defer fd.mutex.Unlock()
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for i := range fd.faceGroupIDs {
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if fd.faceGroupIDs[i] == sourceID {
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fd.faceGroupIDs[i] = destID
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}
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}
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}
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func (fd *FaceDetector) MergeImageFaces(imageFaceIDs []int, destFaceGroupID int32) {
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fd.mutex.Lock()
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defer fd.mutex.Unlock()
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for i := range fd.faceGroupIDs {
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imageFaceID := fd.imageFaceIDs[i]
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for _, id := range imageFaceIDs {
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if imageFaceID == id {
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fd.faceGroupIDs[i] = destFaceGroupID
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break
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}
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}
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}
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}
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func (fd *FaceDetector) RecognizeUnlabeledFaces(tx *gorm.DB, user *models.User) ([]*models.ImageFace, error) {
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unrecognizedDescriptors := make([]face.Descriptor, 0)
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unrecognizedFaceGroupIDs := make([]int32, 0)
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unrecognizedImageFaceIDs := make([]int, 0)
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newFaceGroupIDs := make([]int32, 0)
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newDescriptors := make([]face.Descriptor, 0)
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newImageFaceIDs := make([]int, 0)
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var unlabeledFaceGroups []*models.FaceGroup
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err := tx.
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Joins("JOIN image_faces ON image_faces.face_group_id = face_groups.id").
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Joins("JOIN media ON image_faces.media_id = media.id").
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Where("face_groups.label IS NULL").
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Where("media.album_id IN (?)",
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tx.Select("album_id").Table("user_albums").Where("user_id = ?", user.ID),
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).
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Find(&unlabeledFaceGroups).Error
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if err != nil {
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return nil, err
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}
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fd.mutex.Lock()
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defer fd.mutex.Unlock()
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for i := range fd.faceDescriptors {
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descriptor := fd.faceDescriptors[i]
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faceGroupID := fd.faceGroupIDs[i]
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imageFaceID := fd.imageFaceIDs[i]
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isUnlabeled := false
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for _, unlabeledFaceGroup := range unlabeledFaceGroups {
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if faceGroupID == int32(unlabeledFaceGroup.ID) {
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isUnlabeled = true
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continue
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}
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}
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if isUnlabeled {
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unrecognizedFaceGroupIDs = append(unrecognizedFaceGroupIDs, faceGroupID)
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unrecognizedDescriptors = append(unrecognizedDescriptors, descriptor)
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unrecognizedImageFaceIDs = append(unrecognizedImageFaceIDs, imageFaceID)
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} else {
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newFaceGroupIDs = append(newFaceGroupIDs, faceGroupID)
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newDescriptors = append(newDescriptors, descriptor)
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newImageFaceIDs = append(newImageFaceIDs, imageFaceID)
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}
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}
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fd.faceGroupIDs = newFaceGroupIDs
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fd.faceDescriptors = newDescriptors
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fd.imageFaceIDs = newImageFaceIDs
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updatedImageFaces := make([]*models.ImageFace, 0)
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for i := range unrecognizedDescriptors {
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descriptor := unrecognizedDescriptors[i]
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faceGroupID := unrecognizedFaceGroupIDs[i]
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imageFaceID := unrecognizedImageFaceIDs[i]
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match := fd.classifyDescriptor(descriptor)
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if match < 0 {
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// still no match, we can readd it to the list
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fd.faceGroupIDs = append(fd.faceGroupIDs, faceGroupID)
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fd.faceDescriptors = append(fd.faceDescriptors, descriptor)
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fd.imageFaceIDs = append(fd.imageFaceIDs, imageFaceID)
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} else {
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// found new match, update the database
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var imageFace models.ImageFace
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if err := tx.Model(&models.ImageFace{}).First(imageFace, imageFaceID).Error; err != nil {
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return nil, err
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}
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if err := tx.Model(&imageFace).Update("face_group_id", int(faceGroupID)).Error; err != nil {
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return nil, err
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}
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updatedImageFaces = append(updatedImageFaces, &imageFace)
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fd.faceGroupIDs = append(fd.faceGroupIDs, match)
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fd.faceDescriptors = append(fd.faceDescriptors, descriptor)
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fd.imageFaceIDs = append(fd.imageFaceIDs, imageFaceID)
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}
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}
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return updatedImageFaces, nil
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}
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var GlobalFaceDetector FaceDetector = nil
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@ -0,0 +1,300 @@
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//go:build !no_face_detection
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package face_detection
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import (
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"log"
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"sync"
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"github.com/Kagami/go-face"
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"github.com/photoview/photoview/api/graphql/models"
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"github.com/photoview/photoview/api/utils"
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"github.com/pkg/errors"
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"gorm.io/gorm"
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)
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type faceDetector struct {
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mutex sync.Mutex
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rec *face.Recognizer
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faceDescriptors []face.Descriptor
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faceGroupIDs []int32
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imageFaceIDs []int
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}
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func InitializeFaceDetector(db *gorm.DB) error {
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if utils.EnvDisableFaceRecognition.GetBool() {
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log.Printf("Face detection disabled (%s=1)\n", utils.EnvDisableFaceRecognition.GetName())
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return nil
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}
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log.Println("Initializing face detector")
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rec, err := face.NewRecognizer(utils.FaceRecognitionModelsPath())
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if err != nil {
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return errors.Wrap(err, "initialize facedetect recognizer")
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}
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faceDescriptors, faceGroupIDs, imageFaceIDs, err := getSamplesFromDatabase(db)
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if err != nil {
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return errors.Wrap(err, "get face detection samples from database")
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}
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GlobalFaceDetector = &faceDetector{
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rec: rec,
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faceDescriptors: faceDescriptors,
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faceGroupIDs: faceGroupIDs,
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imageFaceIDs: imageFaceIDs,
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}
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return nil
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}
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func getSamplesFromDatabase(db *gorm.DB) (samples []face.Descriptor, faceGroupIDs []int32, imageFaceIDs []int, err error) {
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var imageFaces []*models.ImageFace
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if err = db.Find(&imageFaces).Error; err != nil {
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return
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}
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samples = make([]face.Descriptor, len(imageFaces))
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faceGroupIDs = make([]int32, len(imageFaces))
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imageFaceIDs = make([]int, len(imageFaces))
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for i, imgFace := range imageFaces {
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samples[i] = face.Descriptor(imgFace.Descriptor)
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faceGroupIDs[i] = int32(imgFace.FaceGroupID)
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imageFaceIDs[i] = imgFace.ID
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}
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return
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}
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// ReloadFacesFromDatabase replaces the in-memory face descriptors with the ones in the database
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func (fd *faceDetector) ReloadFacesFromDatabase(db *gorm.DB) error {
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faceDescriptors, faceGroupIDs, imageFaceIDs, err := getSamplesFromDatabase(db)
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if err != nil {
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return err
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}
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fd.mutex.Lock()
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defer fd.mutex.Unlock()
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fd.faceDescriptors = faceDescriptors
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fd.faceGroupIDs = faceGroupIDs
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fd.imageFaceIDs = imageFaceIDs
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return nil
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}
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// DetectFaces finds the faces in the given image and saves them to the database
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func (fd *faceDetector) DetectFaces(db *gorm.DB, media *models.Media) error {
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if err := db.Model(media).Preload("MediaURL").First(&media).Error; err != nil {
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return err
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}
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var thumbnailURL *models.MediaURL
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for _, url := range media.MediaURL {
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if url.Purpose == models.PhotoThumbnail {
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thumbnailURL = &url
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thumbnailURL.Media = media
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break
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}
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}
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if thumbnailURL == nil {
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return errors.New("thumbnail url is missing")
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}
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thumbnailPath, err := thumbnailURL.CachedPath()
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if err != nil {
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return err
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}
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fd.mutex.Lock()
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faces, err := fd.rec.RecognizeFile(thumbnailPath)
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fd.mutex.Unlock()
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if err != nil {
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return errors.Wrap(err, "error read faces")
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}
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for _, face := range faces {
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fd.classifyFace(db, &face, media, thumbnailPath)
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}
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return nil
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}
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func (fd *faceDetector) classifyDescriptor(descriptor face.Descriptor) int32 {
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return int32(fd.rec.ClassifyThreshold(descriptor, 0.2))
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}
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func (fd *faceDetector) classifyFace(db *gorm.DB, face *face.Face, media *models.Media, imagePath string) error {
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fd.mutex.Lock()
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defer fd.mutex.Unlock()
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match := fd.classifyDescriptor(face.Descriptor)
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faceRect, err := models.ToDBFaceRectangle(face.Rectangle, imagePath)
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if err != nil {
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return err
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}
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imageFace := models.ImageFace{
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MediaID: media.ID,
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Descriptor: models.FaceDescriptor(face.Descriptor),
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Rectangle: *faceRect,
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}
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var faceGroup models.FaceGroup
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// If no match add it new to samples
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if match < 0 {
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log.Println("No match, assigning new face")
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faceGroup = models.FaceGroup{
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ImageFaces: []models.ImageFace{imageFace},
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}
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if err := db.Create(&faceGroup).Error; err != nil {
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return err
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}
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} else {
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log.Println("Found match")
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if err := db.First(&faceGroup, int(match)).Error; err != nil {
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return err
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}
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if err := db.Model(&faceGroup).Association("ImageFaces").Append(&imageFace); err != nil {
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return err
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}
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}
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fd.faceDescriptors = append(fd.faceDescriptors, face.Descriptor)
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fd.faceGroupIDs = append(fd.faceGroupIDs, int32(faceGroup.ID))
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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
|
||||
}
|
||||
|
|
@ -0,0 +1,14 @@
|
|||
//go:build no_face_detection
|
||||
|
||||
package face_detection
|
||||
|
||||
import (
|
||||
"log"
|
||||
|
||||
"gorm.io/gorm"
|
||||
)
|
||||
|
||||
func InitializeFaceDetector(db *gorm.DB) error {
|
||||
log.Printf("Face detection disabled (at build-time)")
|
||||
return nil
|
||||
}
|
||||
Loading…
Reference in New Issue