public void Run(string[] args)
{
Command c = Recognizer.Command.Help;
if (args.Length > 0)
{
c = (Command)Enum.Parse(typeof(Recognizer.Command), args[0]);
}
if (c == Recognizer.Command.Help)
{
Console.WriteLine("Usage:\n\tFinalProject.exe command [filename]\n\nCommands:");
foreach (var cm in Enum.GetNames(typeof(Recognizer.Command)))
{
Console.WriteLine(cm);
}
return;
}
// For CV
mCV = new CrossValidation("cvindex.txt");
////////////////////
// CHANGE THESE LINES TO SWAP MODELS
////////////////////
mRec = new LogisticRegressionRecognizer();
mSeg = new DumbSegmenter();
Console.WriteLine("Using recognizer {0}", mRec.GetType().ToString());
Console.WriteLine("Using segmenter {0}", mSeg.GetType().ToString());
mRecFilename = "models/" + mRec.GetType().ToString() + ".rec.model";
mSegFilename = "models/" + mSeg.GetType().ToString() + ".seg.model";
mSeg.GestureSegmented += delegate(object sender, EventArgs e) {
var segm = ((ISegmenter)sender).LastGesture;
var recres = mRec.RecognizeSingleGesture(segm);
if (recres.Confidence1 > 0.5f)
{
Console.WriteLine("Recognized gesture: {0}", recres.Gesture1);
}
else
{
Console.WriteLine("Inconclusive");
}
};
string filename = "gestures/track_high_kick_01.log";
if (args.Length > 1)
{
filename = args[1];
}
InputGesture gest;
Thread visthread;
switch (c)
{
case Command.Train:
Train();
break;
case Command.TestSingle:
LoadModels();
var result = mRec.RecognizeSingleGesture(new InputGesture(new LogFileLoader(filename)));
Console.WriteLine(result.ToString());
break;
case Command.TestRecognize:
LoadModels();
var test_gestures = LoadData(mGestureNames, false);
int[] total = Enumerable.Range(0, test_gestures.Count).Select(x => 0).ToArray(),
correct = Enumerable.Range(0, test_gestures.Count).Select(x => 0).ToArray();
int i = 0;
Console.WriteLine();
foreach (var gn in test_gestures)
{
foreach (var tg in gn.Value)
{
total[i]++;
var result2 = mRec.RecognizeSingleGesture(tg);
if (result2.Gesture1 == gn.Key)
{
correct[i]++;
}
}
Console.WriteLine("{0}: {1} correct / {2} total = {3}% correct",
gn.Key,
correct[i], total[i], (float)correct[i] / (float)total[i] * 100.0f);
i++;
}
Console.WriteLine("TEST RESULTS:\n\t{0} correct / {1} total = {2}% correct",
correct.Sum(), total.Sum(), (float)correct.Sum() / (float)total.Sum() * 100.0f);
Utility.PrintMemoryUsage();
break;
case Command.TestRealtime:
LoadModels();
gest = new InputGesture(new LogFileLoader(filename));
visthread = new Thread(new ThreadStart(this.StartVisualize));
visthread.Start();
while (true) // Wait for window to get created
{
lock (this) {
if (mVisWindow != null)
{
break;
}
}
}
float lastTime = gest.States[0].Timestamp;
foreach (var frame in gest.States)
{
mSeg.AddState(frame);
mVisWindow.CurrState = frame;
Thread.Sleep((int)((frame.Timestamp - lastTime) * 750.0f));
lastTime = frame.Timestamp;
}
mSeg.Finish();
visthread.Abort();
break;
case Command.RunRealtime:
LoadModels();
visthread = new Thread(new ThreadStart(this.StartVisualize));
visthread.Start();
while (true) // Wait for window to get created
{
lock (this) {
if (mVisWindow != null)
{
break;
}
}
}
var nfl = new NetworkFrameListener(4711);
nfl.Start();
Console.WriteLine("Press the 'x' key to quit");
while (true)
{
var frame = nfl.GetState();
if (frame != null)
{
var js = JointState.FromRawJointState(frame);
mSeg.AddState(js);
mVisWindow.CurrState = js;
}
if (Console.KeyAvailable)
{
var cki = Console.ReadKey(true);
if (cki.Key == ConsoleKey.X)
{
break;
}
}
if (!nfl.Running)
{
break;
}
Thread.Sleep(0);
}
mSeg.Finish();
nfl.Stop();
visthread.Abort();
break;
case Command.PrintFeatures:
gest = new InputGesture(new LogFileLoader(filename));
/*foreach ( var f in Features.AllFeatures.SingleGestureFeatures ) {
* Console.WriteLine("{0}: {1}", f.ToString(), f.QueryGesture(gest));
* }*/
foreach (var f in Features.AllFeatures.GestureFeatures)
{
Console.WriteLine("{0}: {1}", f.ToString(), f.QueryGesture(gest));
}
break;
case Command.BenchmarkRecognize:
Benchmarks.BenchmarkRecognize();
break;
case Command.CycleCV:
mCV.Incr();
mCV.Save();
break;
}
}
public void Run(string[] args)
{
Command c = Recognizer.Command.Help;
if ( args.Length > 0 ) {
c = (Command)Enum.Parse(typeof(Recognizer.Command), args[0]);
}
if ( c == Recognizer.Command.Help ) {
Console.WriteLine("Usage:\n\tFinalProject.exe command [filename]\n\nCommands:");
foreach ( var cm in Enum.GetNames(typeof(Recognizer.Command)) ) Console.WriteLine(cm);
return;
}
// For CV
mCV = new CrossValidation("cvindex.txt");
////////////////////
// CHANGE THESE LINES TO SWAP MODELS
////////////////////
mRec = new LogisticRegressionRecognizer();
mSeg = new DumbSegmenter();
Console.WriteLine("Using recognizer {0}", mRec.GetType().ToString());
Console.WriteLine("Using segmenter {0}", mSeg.GetType().ToString());
mRecFilename = "models/" + mRec.GetType().ToString() + ".rec.model";
mSegFilename = "models/" + mSeg.GetType().ToString() + ".seg.model";
mSeg.GestureSegmented += delegate(object sender, EventArgs e) {
var segm = ((ISegmenter)sender).LastGesture;
var recres = mRec.RecognizeSingleGesture(segm);
if ( recres.Confidence1 > 0.5f ) {
Console.WriteLine("Recognized gesture: {0}", recres.Gesture1);
}
else {
Console.WriteLine("Inconclusive");
}
};
string filename = "gestures/track_high_kick_01.log";
if ( args.Length > 1 ) filename = args[1];
InputGesture gest;
Thread visthread;
switch ( c ) {
case Command.Train:
Train();
break;
case Command.TestSingle:
LoadModels();
var result = mRec.RecognizeSingleGesture(new InputGesture(new LogFileLoader(filename)));
Console.WriteLine(result.ToString());
break;
case Command.TestRecognize:
LoadModels();
var test_gestures = LoadData(mGestureNames, false);
int[] total = Enumerable.Range(0, test_gestures.Count).Select(x => 0).ToArray(),
correct = Enumerable.Range(0, test_gestures.Count).Select(x => 0).ToArray();
int i = 0;
Console.WriteLine();
foreach ( var gn in test_gestures ) {
foreach ( var tg in gn.Value ) {
total[i]++;
var result2 = mRec.RecognizeSingleGesture(tg);
if ( result2.Gesture1 == gn.Key ) {
correct[i]++;
}
}
Console.WriteLine("{0}: {1} correct / {2} total = {3}% correct",
gn.Key,
correct[i], total[i], (float)correct[i] / (float)total[i] * 100.0f);
i++;
}
Console.WriteLine("TEST RESULTS:\n\t{0} correct / {1} total = {2}% correct",
correct.Sum(), total.Sum(), (float)correct.Sum() / (float)total.Sum() * 100.0f);
Utility.PrintMemoryUsage();
break;
case Command.TestRealtime:
LoadModels();
gest = new InputGesture(new LogFileLoader(filename));
visthread = new Thread(new ThreadStart(this.StartVisualize));
visthread.Start();
while ( true ) { // Wait for window to get created
lock ( this ) {
if ( mVisWindow != null ) break;
}
}
float lastTime = gest.States[0].Timestamp;
foreach ( var frame in gest.States ) {
mSeg.AddState(frame);
mVisWindow.CurrState = frame;
Thread.Sleep((int)((frame.Timestamp - lastTime) * 750.0f));
lastTime = frame.Timestamp;
}
mSeg.Finish();
visthread.Abort();
break;
case Command.RunRealtime:
LoadModels();
visthread = new Thread(new ThreadStart(this.StartVisualize));
visthread.Start();
while ( true ) { // Wait for window to get created
lock ( this ) {
if ( mVisWindow != null ) break;
}
}
var nfl = new NetworkFrameListener(4711);
nfl.Start();
Console.WriteLine("Press the 'x' key to quit");
while ( true ) {
var frame = nfl.GetState();
if ( frame != null ) {
var js = JointState.FromRawJointState(frame);
mSeg.AddState(js);
mVisWindow.CurrState = js;
}
if ( Console.KeyAvailable ) {
var cki = Console.ReadKey(true);
if ( cki.Key == ConsoleKey.X ) break;
}
if ( !nfl.Running ) break;
Thread.Sleep(0);
}
mSeg.Finish();
nfl.Stop();
visthread.Abort();
break;
case Command.PrintFeatures:
gest = new InputGesture(new LogFileLoader(filename));
/*foreach ( var f in Features.AllFeatures.SingleGestureFeatures ) {
Console.WriteLine("{0}: {1}", f.ToString(), f.QueryGesture(gest));
}*/
foreach ( var f in Features.AllFeatures.GestureFeatures ) {
Console.WriteLine("{0}: {1}", f.ToString(), f.QueryGesture(gest));
}
break;
case Command.BenchmarkRecognize:
Benchmarks.BenchmarkRecognize();
break;
case Command.CycleCV:
mCV.Incr();
mCV.Save();
break;
}
}