BowlerStudio Cameras

camera.groovy

import java.awt.image.BufferedImage;
String name = "imageProvider"
AbstractImageProvider camera0=null;
if(DeviceManager.getSpecificDevice(AbstractImageProvider.class, name)==null){
	//BowlerStudio.speak("Connecting to camera 0.");
	camera0 = new OpenCVImageProvider(0);// grab the first camera
	DeviceManager.addConnection(camera0,name);
	/**
	//Static File Image provider
	FileChooser fileChooser = new FileChooser();
	fileChooser.setTitle("Open Image File");
	Platform.runLater({
		File f = fileChooser.showOpenDialog(BowlerStudio.getPrimaryStage());
		if(f!=null){
			camera0 = new StaticFileProvider(f);
			DeviceManager.addConnection(camera0,name);
		}else 
			return null;
	})
	*/
	

	/** URL Image Provider Evample
	 * 		
	 * 	TextInputDialog dialog = new TextInputDialog("http://neuronrobotics.com/img/AndrewHarrington/2014-09-15-86.jpg");
		dialog.setTitle("URL Image Source");
		dialog.setHeaderText("This url will be loaded each capture.");
		dialog.setContentText("URL ");

		// Traditional way to get the response value.
		Optional<String> result = dialog.showAndWait();
		if (result.isPresent()){
			URLImageProvider p;
			try {
				p = new URLImageProvider(new URL(result.get()));
				String name = "url";
				addConnection(p,name);
			} catch (MalformedURLException e) {
				// TODO Auto-generated catch block
				e.printStackTrace();
			}
		}
	 */
	 
	
}else{
	//
	camera0 = (AbstractImageProvider)DeviceManager.getSpecificDevice(AbstractImageProvider.class, name);
}

while(DeviceManager.getSpecificDevice(AbstractImageProvider.class, name)==null){
	ThreadUtil.wait(100)
}

// Starting with the connected camera from BowlerStudio
println(camera0)
File haarCascadeFile = ScriptingEngine.fileFromGit("https://github.com/madhephaestus/DefaultHaarCascade.git", "lbpcascade_frontalface.xml")
//Create the default detector using "lbpcascade_frontalface.xml" 
IObjectDetector detector = new HaarDetector(haarCascadeFile)
// Create the input and display images. The display is where the detector writes its detections overlay on the input image
BufferedImage inputImage = AbstractImageProvider.newBufferImage(640,480)
BufferedImage displayImage = AbstractImageProvider.newBufferImage(640,480)
 ArrayList<File> inFiles = new ArrayList<File>();
String dir = ScriptingEngine.getWorkspace().getAbsolutePath()+"/imageCache/"
File dirFile= new File(dir)
if(!dirFile.exists()){
	 dirFile.mkdir();
}
// Loop checking the camera for faces
int i=0;
while(!Thread.interrupted() && i<200){
	camera0.getLatestImage(inputImage,displayImage)               // capture image
	List<Detection>  data = detector.getObjects(inputImage, displayImage)
	if(data.size()>0){
	println("Got: "+data.size()+ 
	" x location = "+data.get(0).getX()+
	" y location "+data.get(0).getY()+
	" size = "+data.get(0).getSize() )
	int position = (data.get(0).getX()/320.0)*255;
	//dyio.setValue(0,position)
	
	}
	/*save images
	try {
	    File outputfile = new File(dir+"/saved_"+i+".jpg");
	    ImageIO.write(displayImage, "jpg", outputfile);
	    inFiles.add(outputfile)
	} catch (IOException e) {
	    e.printStackTrace()
	}*/
	i++
}
/*saved images to video
//println "Compiling to video"
File outFile = new File(dir+"/Video.mov")
ImagesToVideo imageToMovie = new ImagesToVideo();
imageToMovie.run(640, 480, 30, inFiles,outFile );
println "Video exported to "+outFile.getAbsolutePath()
*/