Java Highgui.imdecode方法代碼示例

import org.opencv.highgui.Highgui; //導入方法依賴的package包/類
public static Mat loadResource(Context context, int resourceId, int flags) throws IOException
{
    InputStream is = context.getResources().openRawResource(resourceId);
    ByteArrayOutputStream os = new ByteArrayOutputStream(is.available());

    byte[] buffer = new byte[4096];
    int bytesRead;
    while ((bytesRead = is.read(buffer)) != -1) {
        os.write(buffer, 0, bytesRead);
    }
    is.close();

    Mat encoded = new Mat(1, os.size(), CvType.CV_8U);
    encoded.put(0, 0, os.toByteArray());
    os.close();

    Mat decoded = Highgui.imdecode(encoded, flags);
    encoded.release();

    return decoded;
}
 

import org.opencv.highgui.Highgui; //導入方法依賴的package包/類
protected static Mat bufferedImageToMat(BufferedImage buf) throws IOException {
	
	// Get bytes
   	byte[] bytes = bufferedImageToBytes(buf);
	
   	// Map to Bytes
	Byte[] bigByteArray = new Byte[bytes.length];
       for (int i=0; i < bytes.length; i++)                        
           bigByteArray[i] = new Byte(bytes[i]); 
       
       // Convert bytes to matrix
       List<Byte> matlist = Arrays.asList(bigByteArray);
   	Mat img = new Mat();
       img = Converters.vector_char_to_Mat(matlist);
       img = Highgui.imdecode(img, Highgui.CV_LOAD_IMAGE_COLOR); 
       return img;
}
 

import org.opencv.highgui.Highgui; //導入方法依賴的package包/類
public static Mat byteswritableToMat(BytesWritable inputBW) {
      // Compute input bytes
byte[] imageFileBytes = inputBW.getBytes();
      Byte[] bigByteArray = new Byte[imageFileBytes.length];
      for (int i=0; i<imageFileBytes.length; i++) {
          bigByteArray[i] = new Byte(imageFileBytes[i]);
      }
      // To list
      List<Byte> matlist = Arrays.asList(bigByteArray);       

      // Convert into image matrix
      Mat img = new Mat();
      img = Converters.vector_char_to_Mat(matlist);
      img = Highgui.imdecode(img, Highgui.CV_LOAD_IMAGE_COLOR);         
      return img;
  }
 

import org.opencv.highgui.Highgui; //導入方法依賴的package包/類
/**
 * Calculates descriptors as defined by detectorType and 
 * descriptorType provided at construction for the provided image
 * @param input
 * @return
 * @throws IOException
 */
private Mat calculateDescriptors(byte[] buffer) throws IOException{
	MatOfByte mob = new MatOfByte(buffer);
	Mat image = Highgui.imdecode(mob, Highgui.CV_LOAD_IMAGE_ANYCOLOR);
	
	FeatureDetector siftDetector = FeatureDetector.create(detectorType);
	MatOfKeyPoint mokp = new MatOfKeyPoint();
	siftDetector.detect(image, mokp);
	
	Mat descriptors = new Mat();
	DescriptorExtractor extractor = DescriptorExtractor.create(descriptorType);
	extractor.compute(image, mokp, descriptors);
	return descriptors;
}
 

import org.opencv.highgui.Highgui; //導入方法依賴的package包/類
@Override
public List<CVParticle> execute(CVParticle input) throws Exception {
	ArrayList<CVParticle> result = new ArrayList<CVParticle>();
	Frame frame = (Frame)input;
	if(frame.getImageType().equals(Frame.NO_IMAGE)) return result;

	MatOfByte mob = new MatOfByte(frame.getImageBytes());
	Mat image = Highgui.imdecode(mob, Highgui.CV_LOAD_IMAGE_COLOR);
	
	/*
	mob = new MatOfByte();
	Highgui.imencode(".png", image, mob);
	BufferedImage bi = ImageUtils.bytesToImage(mob.toArray());
	ImageIO.write(bi, "png", new File("testOutput/"+sf.getStreamId()+"_"+sf.getSequenceNr()+".png"));
	*/
	
	MatOfRect haarDetections = new MatOfRect();
	haarDetector.detectMultiScale(image, haarDetections, scaleFactor, minNeighbors, flags, new Size(minSize[0], minSize[1]), new Size(maxSize[0], maxSize[1]));
	ArrayList<Descriptor> descriptors = new ArrayList<Descriptor>();
	for(Rect rect : haarDetections.toArray()){
		Rectangle box = new Rectangle(rect.x, rect.y, rect.width, rect.height);
		descriptors.add(new Descriptor(input.getStreamId(), input.getSequenceNr(), box, 0, new float[0]));
	}
	
	Feature feature = new Feature(input.getStreamId(), input.getSequenceNr(), name, 0, descriptors, null);
	if(outputFrame){
		frame.getFeatures().add(feature);
		result.add(frame);
	}else{
		result.add(feature);
	}
	return result;
}
 

import org.opencv.highgui.Highgui; //導入方法依賴的package包/類
public static final Mat bytesToMatrix(int height, int width, byte[] bytes) {
	Mat raw = new Mat(height, width, CvType.makeType(0, 1));
       raw.put(0, 0, bytes);
	Mat result = Highgui.imdecode(raw, Highgui.CV_LOAD_IMAGE_COLOR);
	return result;
}
 

import org.opencv.highgui.Highgui; //導入方法依賴的package包/類
@Override
public List<CVParticle> execute(List<CVParticle> input) throws Exception {
	List<CVParticle> result = new ArrayList<CVParticle>();
	if(input.size() != 2 || !(input.get(0) instanceof Frame) || !(input.get(1) instanceof Frame))
		return result;
	
	Frame frame1 = (Frame)input.get(0);
	Frame frame2 = (Frame)input.get(1);
	
	MatOfByte mob1 = new MatOfByte(frame1.getImageBytes());
	Mat image1 = Highgui.imdecode(mob1, Highgui.CV_LOAD_IMAGE_ANYCOLOR);
	Mat image1Gray = new Mat( image1.size(), CvType.CV_8UC1 );
	Imgproc.cvtColor( image1, image1Gray, Imgproc.COLOR_RGB2GRAY );
	
	MatOfByte mob2 = new MatOfByte(frame2.getImageBytes());
	Mat image2 = Highgui.imdecode(mob2, Highgui.CV_LOAD_IMAGE_ANYCOLOR);
	Mat image2Gray = new Mat( image2.size(), CvType.CV_8UC1 );
	Imgproc.cvtColor( image2, image2Gray, Imgproc.COLOR_RGB2GRAY );
	
	Mat opticalFlow = new Mat( image1Gray.size(), CvType.CV_32FC2 );
	Video.calcOpticalFlowFarneback( image1Gray, image2Gray, opticalFlow, 0.5, 1, 1, 1, 7, 1.5, 1 );
	
	int cols = opticalFlow.cols();
	int rows = opticalFlow.rows();
	int maxz = opticalFlow.get(0,0).length;
	float[] tmp = new float[maxz];
	float[][][] dense = new float[cols][rows][maxz];
	for(int y=0; y<opticalFlow.rows(); y++){
		for(int x=0; x<opticalFlow.cols(); x++){
			opticalFlow.get(y,x, tmp);
			dense[x][y][0] = tmp[0];
			dense[x][y][1] = tmp[1];
		}
	}
	
	Feature feature = new Feature(frame1.getStreamId(), frame1.getSequenceNr(), name, frame2.getSequenceNr()-frame1.getSequenceNr(), null, dense);
	if(outputFrame){
		frame1.getFeatures().add(feature);
		result.add(frame1);
	}else{
		result.add(feature);
	}

	return result;
}
 

import org.opencv.highgui.Highgui; //導入方法依賴的package包/類
@Override
public List<CVParticle> execute(CVParticle particle) throws Exception {
	List<CVParticle> result = new ArrayList<CVParticle>();
	if(!(particle instanceof Frame)) return result;
	
	Frame frame = (Frame)particle;
	if(frame.getImageType().equals(Frame.NO_IMAGE)) return result;
	try{
		MatOfByte mob = new MatOfByte(frame.getImageBytes());
		Mat image = Highgui.imdecode(mob, Highgui.CV_LOAD_IMAGE_ANYCOLOR);
		
		FeatureDetector siftDetector = FeatureDetector.create(detectorType);
		MatOfKeyPoint mokp = new MatOfKeyPoint();
		siftDetector.detect(image, mokp);
		List<KeyPoint> keypoints = mokp.toList();
		
		Mat descriptors = new Mat();
		DescriptorExtractor extractor = DescriptorExtractor.create(descriptorType);
		extractor.compute(image, mokp, descriptors);
		List<Descriptor> descrList = new ArrayList<Descriptor>();
		float[] tmp = new float[1];
		for(int r=0; r<descriptors.rows(); r++){
			float[] values = new float[descriptors.cols()];
			for(int c=0; c<descriptors.cols(); c++){
				descriptors.get(r, c, tmp);
				values[c] = tmp[0];
			}
			descrList.add(new Descriptor(frame.getStreamId(), frame.getSequenceNr(), new Rectangle((int)keypoints.get(r).pt.x, (int)keypoints.get(r).pt.y, 0, 0), 0, values));
		}
		
		Feature feature = new Feature(frame.getStreamId(), frame.getSequenceNr(), featureName, 0, descrList, null);
		if(outputFrame){
			frame.getFeatures().add(feature);
			result.add(frame);
		}else{
			result.add(feature);
		}		
	}catch(Exception e){
		// catching exception at this point will prevent the sent of a fail! 
		logger.warn("Unable to extract features for frame!", e);
	}
	return result;
}
 

import org.opencv.highgui.Highgui; //導入方法依賴的package包/類
@Override
public List<Feature> execute(CVParticle input) throws Exception 
{
	Frame sf = (Frame)input;
	MatOfByte mob = new MatOfByte(sf.getImageBytes());
	Mat image = Highgui.imdecode(mob, Highgui.CV_LOAD_IMAGE_COLOR);
	Mat hist = new Mat();

       MatOfInt chans;
       MatOfInt histsize;
       MatOfFloat ranges;

       List<Mat> images = new ArrayList<Mat>();

	ArrayList<Feature>    result                = new ArrayList<Feature>();
	ArrayList<Descriptor> hist_descriptors      = new ArrayList<Descriptor>();
	
       Rectangle box = new Rectangle(0, 0, (int) image.size().width, (int) image.size().height); // size of image get boundingbox from sf

       images.add(image);
       for (int i = 0; i < chansj.length; i++){
           chans = new MatOfInt(chansj[i]);
           histsize = new MatOfInt(histsizej[i]);
           ranges = new MatOfFloat(rangesj[i*2],rangesj[i*2+1]);
           Imgproc.calcHist(images, chans, new Mat(), hist, histsize, ranges);

           float[] tmp = new float[1];

           int rows = (int) hist.size().height;
           
           float[] values = new float[rows];
           int c = 0;
           for (int r = 0; r < rows; r++) // loop over rows/columns
           {
               hist.get(r, c, tmp);
               values[r] = tmp[0];
           }
           hist_descriptors.add(new Descriptor(input.getStreamId(), input.getSequenceNr(), box, 0, values));
       }
	
			
	// add features to result
	if ( hist_descriptors.size() > 0 )
		result.add( new Feature( input.getStreamId(), input.getSequenceNr(), name, 0, hist_descriptors, null ) );
	
	return result;
}
 

import org.opencv.highgui.Highgui; //導入方法依賴的package包/類
/**
 * Creates a Mat object for the image in the provided frame
 * @param image the image to be converted to mat
 * @param imageType the encoding to use, see {@link Frame}
 * @return Mat object representing the image of type Highgui.CV_LOAD_IMAGE_COLOR
 * @throws IOException if the image cannot be read or converted into binary format
 */
public static Mat Image2Mat(BufferedImage image, String imageType) throws IOException{
	MatOfByte mob = new MatOfByte( ImageUtils.imageToBytes(image, imageType) );
	return Highgui.imdecode(mob, Highgui.CV_LOAD_IMAGE_COLOR);
}
 

import org.opencv.highgui.Highgui; //導入方法依賴的package包/類
/**
 * creates a Mat object directly from a set of bytes 
 * @param bytes binary representation of an image
 * @return Mat object of type Highgui.CV_LOAD_IMAGE_COLOR
 */
public static Mat bytes2Mat(byte[] bytes){
	MatOfByte mob = new MatOfByte( bytes );
	return Highgui.imdecode(mob, Highgui.CV_LOAD_IMAGE_COLOR);
}