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;
}