Inheritance: FSpot.DbItem, IDisposable
Esempio n. 1
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        public FaceEditorDialog(Face face, Widget parent, bool newFace)
            : base("FaceEditorDialog", "FaceSpot.ui.FaceSpot.glade")
        {
            this.face =face;
            this.newFace = newFace;
            Dialog.Parent = parent;
            Dialog.Modal  = true;
            //Dialog.TransientFor = parent;
            Gdk.Pixbuf pix = null;
            if(face.iconPixbuf != null){
                pix = face.iconPixbuf;
                //TODO Determine Resize Method
                faceImage.Pixbuf = pix.ScaleSimple (100, 100, FaceSpot.IconResizeInterpType);
            }else {
                //TODO What's here???
            }
            ok_button.Clicked += OkButtonClicked;
            cancel_button.Clicked += CancelButtonClicked;
            this.Dialog.Destroyed += DialoghandleDestroyed;
            PopulateCategoryComboBoxEntry();
            InitializeEntryCompletion ();
            PersonErrorLabel.Text = "";

            if(face.Tag != null){
                Log.Debug("Set Entry's text to Tag "+face.Tag.Name);
                peopleComboBoxEntry.Entry.Text = face.Tag.Name;
            }else
                Log.Debug("No Tag for this face yet"+face.Id);

            Dialog.ShowAll ();
            OnFinished += HandleOnFinished;
        }
Esempio n. 2
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        /// <summary>
        /// Process PCA and save a serialized recognizer in specified savepath
        /// </summary>
        /// <param name="faces">
        /// A <see cref="List<FaceTag>"/>
        /// </param>
        /// <param name="savepath">
        /// A <see cref="System.String"/>
        /// </param>
        /// <param name="filename">
        /// A <see cref="System.String"/>
        /// </param>
        //private void ProcessPCA(List<FaceTag> faces){
        public EigenValueTags ProcessPCA(Face[] faces)
        {
            Log.Debug("ProcessPCA Started...");
            int MINFACES = 3;
            int numsFaces = faces.Length;

            List<Image<Gray, Byte>> train_imagesList = new List<Image<Gray, byte>>();
            List<string> train_labelsList = new List<string>();

            // load faces from detected data
            List<int> banList = new List<int>();

            // filter too small number of faces
            for(int i=0;i<faces.Length;i++){
                uint cnt = 0;
                for(int j=0;j<faces.Length;j++){
                    if(i==j || faces[i].Tag.Name.Equals(faces[j].Tag.Name)){
                        cnt++;
                    }
                }
                if(cnt < MINFACES)
                    banList.Add(i);
            }

            for(int k=0;k<faces.Length;k++){
                if(faces[k].Tag == null || banList.Contains(k)){
                    //Log.Debug("null Tag :: id = {0}, name = {0}",faces[k].Id,faces[k].Name);
                    continue;
                }

                train_labelsList.Add(faces[k].Tag.Name);
                train_imagesList.Add(ImageTypeConverter.ConvertPixbufToGrayCVImage(faces[k].iconPixbuf));
            }

            //FIXME
            for(int k=0; k<train_imagesList.Count;k++){
                train_imagesList[k] = train_imagesList[k].Resize(100,100);
            }

            string[] train_labels = train_labelsList.ToArray();
            Image<Gray, Byte>[] train_images = train_imagesList.ToArray();

            MCvTermCriteria crit = new MCvTermCriteria(0.0001);
            EigenObjectRecognizer eigenRec = new EigenObjectRecognizer(train_images,train_labels,5000,ref crit);

            string path = Path.Combine (FSpot.Global.BaseDirectory, "eigen.dat");
            // Serialize
            SerializeUtil.Serialize(path, eigenRec);

            // save recognized data into file of eigen value and into EigenValueTags class
            EigenValueTags eigenVtags = RecordEigenValue(eigenRec);

            Log.Debug("ProcessPCA ended...");

            return eigenVtags;
        }
Esempio n. 3
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 public static RecognitionJob Create(Face face,JobPriority priority)
 {
     Log.Debug("RecognitionJob .Create "+face.Id);
     uint id = 0;
     RecognitionJob job = new RecognitionJob(id,face.Id.ToString(),
                                         DateTime.Now,
                                         priority,
                                         persistent);
     Scheduler.Schedule(job,priority);
     job.Status = FSpot.Jobs.JobStatus.Scheduled;
     return job;
 }
Esempio n. 4
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 public FaceTag(Face f)
 {
     this.tag = f.Tag.Name;
     this.faceImage = ImageTypeConverter.ConvertPixbufToCVImage(f.iconPixbuf).Convert<Gray, byte>();
 }
Esempio n. 5
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        internal void Classify(Face face)
        {
            if(!isReady){
                //Log.Debug(">>> Classify() not ready");
                return;
            }

            Log.Debug(">>> Classify() called - {0}", face.Id);

            //System.Threading.Thread.Sleep(10);

            Emgu.CV.Image<Gray, byte> emFace = ImageTypeConverter.ConvertPixbufToGrayCVImage(face.iconPixbuf);
            //emFace.Save("/home/hyperjump/out/"+face.Id + "a.png");

            //emFace.Save(face.Tag.Name+".jpg");
            float[] eigenValue = EigenObjectRecognizer.EigenDecomposite(emFace,eigenRec.EigenImages,eigenRec.AverageImage);
            //float[] eigenValue = eigenRec.GetEigenDistances(emFace);

            Log.Debug("eigenValue.Length = {0}", eigenValue.Length);
            if(bpnet == null){
                Log.Debug("bpnet == null");
                LoadTrainedNetwork();
            }
            int inputNodes = bpnet.InputLayer.NeuronCount;
            Log.Debug("bpnet.InputLayer.NeuronCount = {0}", bpnet.InputLayer.NeuronCount);
            double[] v = new double[inputNodes];

            //fixme - this is slow
            EigenValueTags eigenVTags = EigenRecognizer.Instance.RecordEigenValue(eigenRec);

            for(int j=0;j<inputNodes;j++){
                v[j] = (double)eigenValue[j];

            }
            //Log.Debug("mean sqr error = {0}",bpnet.MeanSquaredError);
            double[] output = bpnet.Run(v);

            for(int j=0;j<output.Length;j++)
                Console.Write("{0},",output[j]);
            Console.WriteLine();

            // suggestedname from neural network
            string suggestedName = AnalyseNetworkOutput(eigenVTags, output);
            // suggestedname from nearest neighbor
            string sss = eigenRec.Recognize(ImageTypeConverter.ConvertPixbufToGrayCVImage(face.iconPixbuf));

            if( sss == null || sss.Length == 0){
                suggestedName = null;
            }
            else{
            //	suggestedName = sss;
            }

            Log.Debug("no suggestion - id = {0}, name = {0}",face.Id, face.Name);

            if(suggestedName != null && suggestedName.Length != 0){
                Tag tag = MainWindow.Toplevel.Database.Tags.GetTagByName(suggestedName);
                if(tag ==null ) Log.Debug("Error: Doesn't Found Tag Name"+suggestedName);
                else  Log.Debug("Found Tag"+tag.Name);

                if(!face.HasRejected(tag)){
                    Log.Debug("Classify Face#"+face.Id+" Finished : ="+suggestedName+"?");
                    face.Tag = tag;
                }
                else {
                    Log.Debug("Unfortunately Face#"+face.Id+" has already rejected ="+suggestedName+"!");
                }

            }else {
                Log.Debug("Classify Face#"+face.Id+" Finished - No suggestions");
                // this will removed the previous suggested tag
                //FaceSpotDb.Instance.Faces.RemoveTagbyId(face.Id);

            }
            FaceSpotDb.Instance.Faces.Commit(face);
            face.autoRecognized = true;

            Log.Debug(">>> Classify() ended - {0}", face.Id);
        }
Esempio n. 6
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 public static void Train(Face[] faces)
 {
     TrainNetwork(EigenRecognizer.Instance.ProcessPCA(faces));
     FaceClassifier.Instance.LoadResource();
 }
Esempio n. 7
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        void SetListStoreFaces(Face[] faces)
        {
            try {
                //Log.Debug(">>> SetListStoreFaces Called");
                //if(listStore != null)
                //	listStore.Clear ();
                InitListStore();
                if(faces!=null && faces.Length > 0){
                    this.faces = faces;

                    int i=0;
                    foreach (Face face in faces) {
                        //Log.Debug ("SetListStoreFaces Append Face#" + (i) + "  ");
                        if (face != null && listStore != null) {
                            string name = face.Name == null ? "?" /*+" : #"+face.Id.ToString ()*/ : face.Name;
                            string nameWithIdIfUnknown = face.Name == null ? "?" +" : #"+face.Id.ToString () : face.Name;
                            //Log.Debug("Scaling #"+i);
                            Pixbuf facePixbuf = face.iconPixbuf != null
                                ? face.iconPixbuf.ScaleSimple (FaceSpot.THUMBNAIL_SIZE, FaceSpot.THUMBNAIL_SIZE, FaceSpot.IconResizeInterpType) : null;
                            //Pixbuf facePixbuf = null;
                            //int thmSize = FaceSpot.THUMBNAIL_SIZE;
                            //Pixbuf facePixbuf = face.iconPixbuf != null ? ImageTypeConverter.ConvertCVImageToPixbuf(ImageTypeConverter.ConvertPixbufToCVImage(face.iconPixbuf).Resize(thmSize,thmSize)) : null;

                            if (facePixbuf == null)
                                Log.Exception (new Exception ("Allowed null Face Pixbuf to the faceiconview"));
                            if(IsBrowserType){
                                if(IsShowFullImage){
                                    //Log.Debug("BroswerIsShowFullImage #"+i);
                                    Pixbuf fullPixbuf = ThumbnailCache.Default.GetThumbnailForUri(face.photo.DefaultVersionUri);
                                    if(fullPixbuf == null){
                                        fullPixbuf = ThumbnailGenerator.Create(face.photo.DefaultVersionUri);
                                        ThumbnailCache.Default.AddThumbnail(face.photo.DefaultVersionUri,fullPixbuf);
                                    }
                                    try {
                                        listStore.AppendValues (name, facePixbuf, face,nameWithIdIfUnknown,fullPixbuf);
                                    } catch (Exception e) {
                                        Log.Exception("Exception in List Store appendvalue",e);
                                    }
                                }
                                else {
                                    //Log.Debug("BroswerIsNotShowFullImage #"+i);
                                    try {
                                        listStore.AppendValues (name, facePixbuf, face,nameWithIdIfUnknown,facePixbuf);
                                    }  catch (Exception e) {
                                        Log.Exception("Exception in List Store appendvalue",e);
                                    }
                                }
                            }
                            else {
                                //Log.Debug("Sidebar IsNotShowFullImage #"+i+"    " + (facePixbuf == null) );
                                try {
                                    listStore.AppendValues (name, facePixbuf, face,nameWithIdIfUnknown);
                                }  catch (Exception e) {
                                        Log.Exception("Exception in List Store appendvalue",e);
                                    }
                            }
                            Log.Debug("Finish Append Face Value #"+i);
                            i++;
                        } else
                            Log.Exception (new Exception ("Allowed null Face input to the faceiconview"));
                    }

                    //Log.Debug(">>> SetListStoreFaces Ended");
                }
                this.Model = listStore;
            } catch (Exception e) {
                Log.Exception("Exception in List Store Faces!!!",e);
            }
        }
Esempio n. 8
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 public static RecognitionJob Create(Face face)
 {
     return Create(face,JobPriority.Lowest);
 }
Esempio n. 9
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 public RecognitionJob(uint id, string job_options, DateTime run_at, JobPriority job_priority, bool persistent)
     : base(id, job_options, job_priority, run_at, persistent)
 {
     this.priority = job_priority;
     this.face = FaceSpotDb.Instance.Faces.Get(Convert.ToUInt32(job_options));
 }