public void setFeatureExtraction(ShowExtractedFeatureFormat setFeatureExtractionMode){ ShowExtractedFeatureMode = setFeatureExtractionMode; // Setup FeatureExtraction Class //Default direcotry: "..\\..\\..\\Data"; // To setup the mode, see README in the library // User dependent. Notice that this is important //FeatureExtraction.ModeFormat MyMode = FeatureExtraction.ModeFormat.F1000; if (processor_mode_ == Manager.ProcessorModeFormat.Michael) { //FeatureExtraction.ModeFormat MyMode = FeatureExtraction.ModeFormat.Blue; //FeatureExtraction.ModeFormat MyMode = FeatureExtraction.ModeFormat.Demo1000; FeatureExtraction.ModeFormat MyMode = FeatureExtraction.ModeFormat.Demo3Trees1000FeaturesWithWall; Feature = new FeatureExtractionLib.FeatureExtraction(MyMode); } else { FeatureExtraction.ModeFormat MyMode = FeatureExtraction.ModeFormat.BlueDefault; Feature = new FeatureExtractionLib.FeatureExtraction(MyMode, "D:\\gr\\training\\blue"); } // The following code is deprecated even it is commented. Look at the above! //FeatureExtraction.ModeFormat MyMode = FeatureExtraction.ModeFormat.Blue; //FeatureExtraction.ModeFormat MyMode = FeatureExtraction.ModeFormat.BlueDefault; //Feature = new FeatureExtractionLib.FeatureExtraction(MyMode, "D:\\gr\\training\\blue"); //Feature = new FeatureExtractionLib.FeatureExtraction(FeatureExtraction.ModeFormat.F2000, "C:\\Users\\Michael Zhang\\Desktop\\HandGestureRecognition\\Experiments\\alglib"); // Michael's code here //Feature = new FeatureExtractionLib.FeatureExtraction(FeatureExtraction.ModeFormat.Blue); // end of deprecated label_colors = Util.GiveMeNColors(Feature.num_classes_); Feature.ReadOffsetPairsFromStorage(); predict_output_ = new float[width * height * Feature.num_classes_]; predict_labels_ = new int[width * height]; pool_ = new int[width * height]; Console.WriteLine("Allocate memory for predict_output"); //Feature.GenerateOffsetPairs(); // use this to test the offset pairs parameters setting }
private void CreateThreadFunction(FeatureExtraction.ModeFormat mode, string dir = "..\\..\\..\\Data") { feature_lib_obj_ = new FeatureExtraction(mode, dir); }
public void SetupFeatureExtraction(FeatureExtraction.ModeFormat mode, string dir = "..\\..\\..\\Data") { //Default direcotry: "..\\..\\..\\Data"; // To setup the mode, see README in the library FeatureExtraction.ModeFormat MyMode = mode; //dir = "D:\\gr\\training\\blue\\"; //feature_lib_obj_ = new FeatureExtraction(MyMode, dir); /* const int kMaxStackSize = 1000000; //Thread oThread = new Thread(new ThreadStart(this.IAmFoo), kMaxStackSize); Thread oThread = new Thread(delegate() { this.CreateThreadFunction(MyMode, dir); }, kMaxStackSize); oThread.Start(); // Start the thread oThread.Join(); */ feature_lib_obj_ = new FeatureExtraction(MyMode, dir); Debug.WriteLine("Sucessfully read model"); }
public ProcessorState( Ref<System.Drawing.Rectangle> crop, Ref<System.Drawing.Rectangle> crop_values, Ref<int> upper, Ref<int> lower, KinectData data_, short[] depth, byte[] depth_label_, byte[] rgb, byte[] bitmap_bits, Dictionary<Tuple<byte, byte, byte>, byte> nearest_cache_, Dictionary<byte, byte[]> label_color_, byte kBackgroundLabel, List<byte[]> centroid_colors_, List<byte> centroid_labels, Ref<bool> predict_on_enable_, Ref<bool>feature_extract_on_enable_, Ref<bool> overlay_start_, int kNoOverlay, int[] overlay_bitmap_bits_, int[] kEmptyOverlay, FeatureExtractionLib.FeatureExtraction feature, float[] predict_output_, int[] predict_labels_, List<IWebSocketConnection> all_sockets_, Filter.Step[] pipeline, HandGestureFormat hand_gesture_value_, RangeModeFormat range_mode_value_, int[] pool, byte[] bitmap_bits_copy, int radius, double density, int cluster_threshold_count) { this.crop = crop; this.crop_values = crop_values; this.upper = upper; this.lower = lower; this.data_ = data_; this.depth = depth; this.rgb = rgb; this.bitmap_bits_ = bitmap_bits; this.depth_label_ = depth_label_; this.bitmap_bits_copy_ = bitmap_bits_copy; this.nearest_cache_ = nearest_cache_; this.label_color_ = label_color_; this.kBackgroundLabel = kBackgroundLabel; this.centroid_colors_ = centroid_colors_; this.centroid_labels_ = centroid_labels; this.predict_on_enable_ = predict_on_enable_; this.feature_extract_on_enable_ = feature_extract_on_enable_; this.overlay_start_ = overlay_start_; this.kNoOverlay = kNoOverlay; this.overlay_bitmap_bits_ = overlay_bitmap_bits_; this.kEmptyOverlay = kEmptyOverlay; this.feature = feature; this.predict_output_ = predict_output_; this.predict_labels_ = predict_labels_; this.all_sockets_ = all_sockets_; this.pipeline = pipeline; this.hand_gesture_value_ = hand_gesture_value_; this.range_mode_value_ = range_mode_value_; this.pool_ = pool; this.radius_ = radius; this.density_ = density; this.cluster_threshold_count_ = cluster_threshold_count; }