Develop Reference

interpolate a given array to be in new lenght

in order to interpolate 2 values, I can use
lerp(int a, int b) {
return (a + b) / 2;
}
Now imagine I've an array(1, 30, 100, 300) and I want to interpolate it to array in size N (N=10 for example).
If N == 7, then:
1,15,30,65,100,200,300
I've no idea how to interpolate 4 values to be 10. I need a method that looks like:
interpolate(fina int[] input, final int newSize) {
int[] res = new int[newSize];
...
return res;
}
that works even on my example above with newSize of 7, 10 or whatever.
Any idea how to implement it?

SOLVED.
public static double[] interpolate(double[] x, int newLength) {
double[] y = null;
if (newLength > 0) {
int N = x.length;
if (N == 1) {
y = new double[1];
y[0] = x[0];
return y;
} else if (newLength == 1) {
y = new double[1];
int ind = (int) Math.floor(N * 0.5 + 0.5);
ind = Math.max(1, ind);
ind = Math.min(ind, N);
y[0] = x[ind - 1];
return y;
} else {
y = new double[newLength];
double Beta = ((double) newLength) / N;
double newBeta = 1.0;
if (newLength > 2)
newBeta = (N - 2.0) / (newLength - 2.0);
y[0] = x[0];
y[1] = x[1];
y[newLength - 1] = x[N - 1];
double tmp, alpha;
int i, j;
for (i = 2; i <= newLength - 2; i++) {
tmp = 1.0 + (i - 1) * newBeta;
j = (int) Math.floor(tmp);
alpha = tmp - j;
y[i] = (1.0 - alpha) * x[Math.max(0, j)] + alpha * x[Math.min(N - 1, j + 1)];
}
}
}
return y;
}
/**
* Find the maximum of all elements in the array, ignoring elements that are NaN.
* #param data
* #return
*/
public static double max(double[] data) {
double max = Double.NaN;
for (int i = 0; i < data.length; i++) {
if (Double.isNaN(data[i]))
continue;
if (Double.isNaN(max) || data[i] > max)
max = data[i];
}
return max;
}
public static int max(int[] data) {
int max = data[0];
for (int i = 1; i < data.length; i++) {
if (data[i] > max)
max = data[i];
}
return max;
}

Calculate Haralick features using jfeaturelib

I want to calculate haralick features in android using jfeaturelib(which is basically for java) but I came to know that there is no implementation of ImageIO or BufferedImage in android as these are used in calculating haralick features in bellow code. These are only available in pure JAVA .
public void haralickFeatures(){
InputStream stream = HaralickDemo.class.getClassLoader().getResourceAsStream("test.jpg");
ColorProcessor image = new ColorProcessor(ImageIO.read(stream));
// initialize the descriptor
Haralick descriptor = new Haralick();
// run the descriptor and extract the features
descriptor.run(image);
// obtain the features
List<double[]> features = descriptor.getFeatures();
// print the features to system out
for (double[] feature : features) {
System.out.println(Arrays2.join(feature, ", ", "%.5f"));
}
}
Is there a way to calculate haralick features in android. Any code example will be great help. Thanks in advance.

As you mentioned you cannot use jfeaturelib to calculate haralick features because this library use certain classes that are only implemented in pure java but not android.
You can use my code which I had taken from jfeaturelib and modified it to fit to use for android.
First you have to create a java class in your android project and name it what you want(in my case I name it as GLCM)
public class GLCM {
static int totalPixels=0;
/**
* The number of gray values for the textures
*/
private final int NUM_GRAY_VALUES = 32;
/**
* p_(x+y) statistics
*/
private final double[] p_x_plus_y = new double[2 * NUM_GRAY_VALUES - 1];
/**
* p_(x-y) statistics
*/
private final double[] p_x_minus_y = new double[NUM_GRAY_VALUES];
/**
* row mean value
*/
private double mu_x = 0;
/**
* column mean value
*/
private double mu_y = 0;
/**
* row variance
*/
private double var_x = 0;
/**
* column variance
*/
private double var_y = 0;
/**
* HXY1 statistics
*/
private double hx = 0;
/**
* HXY2 statistics
*/
private double hy = 0;
/**
* HXY1 statistics
*/
private double hxy1 = 0;
/**
* HXY2 statistics
*/
private double hxy2 = 0;
/**
* p_x statistics
*/
private final double[] p_x = new double[NUM_GRAY_VALUES];
/**
* p_y statistics
*/
private final double[] p_y = new double[NUM_GRAY_VALUES];
// -
public List<double[]> data;
public int haralickDist;
double[] features = null;
static byte[] imageArray;
public void addData(double[] data) {
this.data.add(data);
}
public List<double[]> getFeatures() {
return data;
}
public void process(Bitmap b) {
features = new double[14];
Coocurrence coocurrence = new Coocurrence(b, NUM_GRAY_VALUES, this.haralickDist);
coocurrence.calculate();
double[][] cooccurrenceMatrix = coocurrence.getCooccurrenceMatrix();
double meanGrayValue = coocurrence.getMeanGrayValue();
normalize(cooccurrenceMatrix, coocurrence.getCooccurenceSums());
calculateStatistics(cooccurrenceMatrix);
double[][] p = cooccurrenceMatrix;
double[][] Q = new double[NUM_GRAY_VALUES][NUM_GRAY_VALUES];
for (int i = 0; i < NUM_GRAY_VALUES; i++) {
double sum_j_p_x_minus_y = 0;
for (int j = 0; j < NUM_GRAY_VALUES; j++) {
double p_ij = p[i][j];
sum_j_p_x_minus_y += j * p_x_minus_y[j];
features[0] += p_ij * p_ij;
features[2] += i * j * p_ij - mu_x * mu_y;
features[3] += (i - meanGrayValue) * (i - meanGrayValue) * p_ij;
features[4] += p_ij / (1 + (i - j) * (i - j));
features[8] += p_ij * log(p_ij);
// feature 13
if (p_ij != 0 && p_x[i] != 0) { // would result in 0
for (int k = 0; k < NUM_GRAY_VALUES; k++) {
if (p_y[k] != 0 && p[j][k] != 0) { // would result in NaN
Q[i][j] += (p_ij * p[j][k]) / (p_x[i] * p_y[k]);
}
}
}
}
features[1] += i * i * p_x_minus_y[i];
features[9] += (i - sum_j_p_x_minus_y) * (i - sum_j_p_x_minus_y) * p_x_minus_y[i];
features[10] += p_x_minus_y[i] * log(p_x_minus_y[i]);
}
// feature 13: Max Correlation Coefficient
double[] realEigenvaluesOfQ = new Matrix(Q).eig().getRealEigenvalues();
Arrays2.abs(realEigenvaluesOfQ);
Arrays.sort(realEigenvaluesOfQ);
features[13] = Math.sqrt(realEigenvaluesOfQ[realEigenvaluesOfQ.length - 2]);
features[2] /= Math.sqrt(var_x * var_y);
features[8] *= -1;
features[10] *= -1;
double maxhxhy = Math.max(hx, hy);
if (Math.signum(maxhxhy) == 0) {
features[11] = 0;
} else {
features[11] = (features[8] - hxy1) / maxhxhy;
}
features[12] = Math.sqrt(1 - Math.exp(-2 * (hxy2 - features[8])));
for (int i = 0; i < 2 * NUM_GRAY_VALUES - 1; i++) {
features[5] += i * p_x_plus_y[i];
features[7] += p_x_plus_y[i] * log(p_x_plus_y[i]);
double sum_j_p_x_plus_y = 0;
for (int j = 0; j < 2 * NUM_GRAY_VALUES - 1; j++) {
sum_j_p_x_plus_y += j * p_x_plus_y[j];
}
features[6] += (i - sum_j_p_x_plus_y) * (i - sum_j_p_x_plus_y) * p_x_plus_y[i];
}
features[7] *= -1;
}
/**
* Calculates the statistical properties.
*/
private void calculateStatistics(double[][] cooccurrenceMatrix) {
// p_x, p_y, p_x+y, p_x-y
for (int i = 0; i < NUM_GRAY_VALUES; i++) {
for (int j = 0; j < NUM_GRAY_VALUES; j++) {
double p_ij = cooccurrenceMatrix[i][j];
p_x[i] += p_ij;
p_y[j] += p_ij;
p_x_plus_y[i + j] += p_ij;
p_x_minus_y[Math.abs(i - j)] += p_ij;
}
}
// mean and variance values
double[] meanVar;
meanVar = meanVar(p_x);
mu_x = meanVar[0];
var_x = meanVar[1];
meanVar = meanVar(p_y);
mu_y = meanVar[0];
var_y = meanVar[1];
for (int i = 0; i < NUM_GRAY_VALUES; i++) {
// hx and hy
hx += p_x[i] * log(p_x[i]);
hy += p_y[i] * log(p_y[i]);
// hxy1 and hxy2
for (int j = 0; j < NUM_GRAY_VALUES; j++) {
double p_ij = cooccurrenceMatrix[i][j];
hxy1 += p_ij * log(p_x[i] * p_y[j]);
hxy2 += p_x[i] * p_y[j] * log(p_x[i] * p_y[j]);
}
}
hx *= -1;
hy *= -1;
hxy1 *= -1;
hxy2 *= -1;
}
/**
* Compute mean and variance of the given array
*
* #param a inut values
* #return array{mean, variance}
*/
private double[] meanVar(double[] a) {
// VAR(X) = E(X^2) - E(X)^2
// two-pass is numerically stable.
double ex = 0;
for (int i = 0; i < NUM_GRAY_VALUES; i++) {
ex += a[i];
}
ex /= a.length;
double var = 0;
for (int i = 0; i < NUM_GRAY_VALUES; i++) {
var += (a[i] - ex) * (a[i] - ex);
}
var /= (a.length - 1);
return new double[]{ex, var};
}
/**
* Returns the bound logarithm of the specified value.
*
* If Math.log would be Double.NEGATIVE_INFINITY, 0 is returned
*
* #param value the value for which the logarithm should be returned
* #return the logarithm of the specified value
*/
private double log(double value) {
double log = Math.log(value);
if (log == Double.NEGATIVE_INFINITY) {
log = 0;
}
return log;
}
/**
* Normalizes the array by the given sum. by dividing each 2nd dimension
* array componentwise by the sum.
*
* #param A
* #param sum
*/
private void normalize(double[][] A, double sum) {
for (double[] A1 : A) {
Arrays2.div(A1, sum);
}
}
//<editor-fold defaultstate="collapsed" desc="getter/Setter">
/**
* Getter for haralick distributions
*
* #return haralick distributions
*/
public int getHaralickDist() {
return haralickDist;
}
/**
* Setter for haralick distributions
*
* #param haralickDist int for haralick distributions (must be >= 1)
*/
public void setHaralickDist(int haralickDist) {
if (haralickDist <= 0) {
throw new IllegalArgumentException("the distance for haralick must be >= 1 but was " + haralickDist);
}
this.haralickDist = haralickDist;
}
//</editor-fold>
static class Coocurrence {
/**
* The number of gray values for the textures
*/
private final int NUM_GRAY_VALUES;
/**
* The number of gray levels in an image
*/
int GRAY_RANGES = 256;
/**
* The scale for the gray values for conversion rgb to gray values.
*/
double GRAY_SCALE;
/**
* gray histogram of the image.
*/
double[] grayHistogram;
/**
* Quantized gray values of each pixel of the image.
*
* Use int instead of byte as there is no unsigned byte in Java.
* Otherwise you'll have a hard time using white = 255. Alternative:
* replace with ImageJ ByteProcessor.
*/
private final int[] grayValue;
/**
* mean gray value
*/
private double meanGrayValue = 0;
/**
* The cooccurrence matrix
*/
private final double[][] cooccurrenceMatrices;
/**
* The value for one increment in the gray/color histograms.
*/
private final int HARALICK_DIST;
private final Bitmap image;
public Coocurrence(Bitmap b, int numGrayValues, int haralickDist) {
this.NUM_GRAY_VALUES = numGrayValues;
this.HARALICK_DIST = haralickDist;
this.cooccurrenceMatrices = new double[NUM_GRAY_VALUES][NUM_GRAY_VALUES];
this.image = b;
totalPixels=b.getHeight()*b.getWidth();
this.grayValue = new int[totalPixels];
}
void calculate() {
this.GRAY_SCALE = (double) GRAY_RANGES / (double) NUM_GRAY_VALUES;
this.grayHistogram = new double[GRAY_RANGES];
calculateGreyValues();
final int imageWidth = image.getWidth();
final int imageHeight = image.getHeight();
final int d = HARALICK_DIST;
final int yOffset = d * imageWidth;
int i, j, pos;
// image is not empty per default
for (int y = 0; y < imageHeight; y++) {
for (int x = 0; x < imageWidth; x++) {
pos = imageWidth * y + x;
// horizontal neighbor: 0 degrees
i = x - d;
if (i >= 0) {
increment(grayValue[pos], grayValue[pos - d]);
}
// vertical neighbor: 90 degree
j = y - d;
if (j >= 0) {
increment(grayValue[pos], grayValue[pos - yOffset]);
}
// 45 degree diagonal neigbor
i = x + d;
j = y - d;
if (i < imageWidth && j >= 0) {
increment(grayValue[pos], grayValue[pos + d - yOffset]);
}
// 135 vertical neighbor
i = x - d;
j = y - d;
if (i >= 0 && j >= 0) {
increment(grayValue[pos], grayValue[pos - d - yOffset]);
}
}
}
}
private void calculateGreyValues() {
final int size = grayValue.length;
double graySum = 0;
for (int pos = 0; pos < size; pos++) {
int gray = imageArray[pos]&0xff;
graySum += gray;
grayValue[pos] = (int) (gray / GRAY_SCALE); // quantized for texture analysis
assert grayValue[pos] >= 0 : grayValue[pos] + " > 0 violated";
grayHistogram[gray]++;
}
Arrays2.div(grayHistogram, size);
meanGrayValue = Math.floor(graySum / size / GRAY_SCALE)*GRAY_SCALE;
}
/**
* Incremets the coocurrence matrix at the specified positions (g1,g2)
* and (g2,g1) if g1 and g2 are in range.
*
* #param g1 the gray value of the first pixel
* #param g2 the gray value of the second pixel
*/
private void increment(int g1, int g2) {
cooccurrenceMatrices[g1][g2]++;
cooccurrenceMatrices[g2][g1]++;
}
public double getMeanGrayValue() {
return this.meanGrayValue;
}
public double[][] getCooccurrenceMatrix() {
return this.cooccurrenceMatrices;
}
public double getCooccurenceSums() {
// divide by R=8 neighbours
// see p.613, §2 of Haralick paper
return totalPixels * 8;
}
}
}
Now create object of that GLCM class in your main activity or in activity you want
GLCM glcm=new GLCM();
Next step is to copy past this function in your main activity or in activity you want. This function extract feature as you have to pass an image as bitmap and this function will return 14 haralick features in float array. Here is that function
public void haralickFeatures(Bitmap b) throws IOException {
glcm.haralickDist=1;
ByteArrayOutputStream stream = new ByteArrayOutputStream();
b.compress(Bitmap.CompressFormat.PNG, 90, stream); // what 90 does ??
GLCM.imageArray=new byte[]{};
GLCM.imageArray = stream.toByteArray();
glcm.process(b);
glcm.data = new ArrayList<>(1);
glcm.addData(glcm.features);
List<double[]> featuresHar=glcm.getFeatures();
for (double[] feature : featuresHar) {
featureString=Arrays2.join(feature, ",", "%.5f");
}
String[] featureStr=featureString.split(Pattern.quote(","));
float[] featureFlot = new float[featureStr.length];
for (int i=0;i<featureStr.length;i++){
featureFlot[i]=Float.parseFloat(featureStr[i]);
}
//featureFlot is array that contain all 14 haralick features
}

How to fit the Ringdroid waveform in full width according to width of mobile screen

I want to implement the Ringdroid waveform in my android app.But for some songs,the waveform created after choosing the song is larger than the screen size and for songs the waveform width is smaller than the mobile screen width .
Plz suggest me the change in code of Ringdroid ,so that every time the waveform of song totally covers the width of screen.
This is the link of Ringdroid project
https://github.com/google/ringdroid

After a whole lot of searching and surfing about it. I tried it myself and got the desired output with it
This is the WaveformView class of Ringdroid
package com.ringdroid;
import android.content.Context;
import android.content.res.Resources;
import android.graphics.Canvas;
import android.graphics.DashPathEffect;
import android.graphics.Paint;
import android.util.AttributeSet;
import android.util.Log;
import android.view.GestureDetector;
import android.view.MotionEvent;
import android.view.ScaleGestureDetector;
import android.view.View;
import com.ringdroid.soundfile.SoundFile;
/**
* WaveformView is an Android view that displays a visual representation
* of an audio waveform. It retrieves the frame gains from a CheapSoundFile
* object and recomputes the shape contour at several zoom levels.
*
* This class doesn't handle selection or any of the touch interactions
* directly, so it exposes a listener interface. The class that embeds
* this view should add itself as a listener and make the view scroll
* and respond to other events appropriately.
*
* WaveformView doesn't actually handle selection, but it will just display
* the selected part of the waveform in a different color.
*/
public class WaveformView extends View {
public interface WaveformListener {
public void waveformTouchStart(float x);
public void waveformTouchMove(float x);
public void waveformTouchEnd();
public void waveformFling(float x);
public void waveformDraw();
public void waveformZoomIn();
public void waveformZoomOut();
};
// Colors
private Paint mGridPaint;
private Paint mSelectedLinePaint;
private Paint mUnselectedLinePaint;
private Paint mUnselectedBkgndLinePaint;
private Paint mBorderLinePaint;
private Paint mPlaybackLinePaint;
private Paint mTimecodePaint;
private SoundFile mSoundFile;
private int[] mLenByZoomLevel;
private double[][] mValuesByZoomLevel;
private double[] mZoomFactorByZoomLevel;
private int[] mHeightsAtThisZoomLevel;
private int mZoomLevel;
private int mNumZoomLevels;
private int mSampleRate;
private int mSamplesPerFrame;
private int mOffset;
private int mSelectionStart;
private int mSelectionEnd;
private int mPlaybackPos;
private float mDensity;
private float mInitialScaleSpan;
private WaveformListener mListener;
private GestureDetector mGestureDetector;
private ScaleGestureDetector mScaleGestureDetector;
private boolean mInitialized;
public WaveformView(Context context, AttributeSet attrs) {
super(context, attrs);
// We don't want keys, the markers get these
setFocusable(false);
Resources res = getResources();
mGridPaint = new Paint();
mGridPaint.setAntiAlias(false);
mGridPaint.setColor(res.getColor(R.color.grid_line));
mSelectedLinePaint = new Paint();
mSelectedLinePaint.setAntiAlias(false);
mSelectedLinePaint.setColor(res.getColor(R.color.waveform_selected));
mUnselectedLinePaint = new Paint();
mUnselectedLinePaint.setAntiAlias(false);
mUnselectedLinePaint.setColor(res.getColor(R.color.waveform_unselected));
mUnselectedBkgndLinePaint = new Paint();
mUnselectedBkgndLinePaint.setAntiAlias(false);
mUnselectedBkgndLinePaint.setColor(res.getColor(R.color.waveform_unselected_bkgnd_overlay));
mBorderLinePaint = new Paint();
mBorderLinePaint.setAntiAlias(true);
mBorderLinePaint.setStrokeWidth(1.5f);
mBorderLinePaint.setPathEffect(new DashPathEffect(new float[] { 3.0f, 2.0f }, 0.0f));
mBorderLinePaint.setColor(res.getColor(R.color.selection_border));
mPlaybackLinePaint = new Paint();
mPlaybackLinePaint.setAntiAlias(false);
mPlaybackLinePaint.setColor(res.getColor(R.color.playback_indicator));
mTimecodePaint = new Paint();
mTimecodePaint.setTextSize(12);
mTimecodePaint.setAntiAlias(true);
mTimecodePaint.setColor(res.getColor(R.color.timecode));
mTimecodePaint.setShadowLayer(2, 1, 1, res.getColor(R.color.timecode_shadow));
mGestureDetector = new GestureDetector(
context,
new GestureDetector.SimpleOnGestureListener() {
public boolean onFling(MotionEvent e1, MotionEvent e2, float vx, float vy) {
mListener.waveformFling(vx);
return true;
}
}
);
mScaleGestureDetector = new ScaleGestureDetector(
context,
new ScaleGestureDetector.SimpleOnScaleGestureListener() {
public boolean onScaleBegin(ScaleGestureDetector d) {
Log.v("Ringdroid", "ScaleBegin " + d.getCurrentSpanX());
mInitialScaleSpan = Math.abs(d.getCurrentSpanX());
return true;
}
public boolean onScale(ScaleGestureDetector d) {
float scale = Math.abs(d.getCurrentSpanX());
Log.v("Ringdroid", "Scale " + (scale - mInitialScaleSpan));
if (scale - mInitialScaleSpan > 40) {
mListener.waveformZoomIn();
mInitialScaleSpan = scale;
}
if (scale - mInitialScaleSpan < -40) {
mListener.waveformZoomOut();
mInitialScaleSpan = scale;
}
return true;
}
public void onScaleEnd(ScaleGestureDetector d) {
Log.v("Ringdroid", "ScaleEnd " + d.getCurrentSpanX());
}
}
);
mSoundFile = null;
mLenByZoomLevel = null;
mValuesByZoomLevel = null;
mHeightsAtThisZoomLevel = null;
mOffset = 0;
mPlaybackPos = -1;
mSelectionStart = 0;
mSelectionEnd = 0;
mDensity = 1.0f;
mInitialized = false;
}
#Override
public boolean onTouchEvent(MotionEvent event) {
mScaleGestureDetector.onTouchEvent(event);
if (mGestureDetector.onTouchEvent(event)) {
return true;
}
switch(event.getAction()) {
case MotionEvent.ACTION_DOWN:
mListener.waveformTouchStart(event.getX());
break;
case MotionEvent.ACTION_MOVE:
mListener.waveformTouchMove(event.getX());
break;
case MotionEvent.ACTION_UP:
mListener.waveformTouchEnd();
break;
}
return true;
}
public boolean hasSoundFile() {
return mSoundFile != null;
}
public void setSoundFile(SoundFile soundFile) {
mSoundFile = soundFile;
mSampleRate = mSoundFile.getSampleRate();
mSamplesPerFrame = mSoundFile.getSamplesPerFrame();
computeDoublesForAllZoomLevels();
mHeightsAtThisZoomLevel = null;
}
public boolean isInitialized() {
return mInitialized;
}
public int getZoomLevel() {
return mZoomLevel;
}
public void setZoomLevel(int zoomLevel) {
while (mZoomLevel > zoomLevel) {
zoomIn();
}
while (mZoomLevel < zoomLevel) {
zoomOut();
}
}
public boolean canZoomIn() {
return (mZoomLevel > 0);
}
public void zoomIn() {
if (canZoomIn()) {
mZoomLevel--;
mSelectionStart *= 2;
mSelectionEnd *= 2;
mHeightsAtThisZoomLevel = null;
int offsetCenter = mOffset + getMeasuredWidth() / 2;
offsetCenter *= 2;
mOffset = offsetCenter - getMeasuredWidth() / 2;
if (mOffset < 0)
mOffset = 0;
invalidate();
}
}
public boolean canZoomOut() {
return (mZoomLevel < mNumZoomLevels - 1);
}
public void zoomOut() {
if (canZoomOut()) {
mZoomLevel++;
mSelectionStart /= 2;
mSelectionEnd /= 2;
int offsetCenter = mOffset + getMeasuredWidth() / 2;
offsetCenter /= 2;
mOffset = offsetCenter - getMeasuredWidth() / 2;
if (mOffset < 0)
mOffset = 0;
mHeightsAtThisZoomLevel = null;
invalidate();
}
}
public int maxPos() {
return mLenByZoomLevel[mZoomLevel];
}
public int secondsToFrames(double seconds) {
return (int)(1.0 * seconds * mSampleRate / mSamplesPerFrame + 0.5);
}
public int secondsToPixels(double seconds) {
double z = mZoomFactorByZoomLevel[mZoomLevel];
return (int)(z * seconds * mSampleRate / mSamplesPerFrame + 0.5);
}
public double pixelsToSeconds(int pixels) {
double z = mZoomFactorByZoomLevel[mZoomLevel];
return (pixels * (double)mSamplesPerFrame / (mSampleRate * z));
}
public int millisecsToPixels(int msecs) {
double z = mZoomFactorByZoomLevel[mZoomLevel];
return (int)((msecs * 1.0 * mSampleRate * z) /
(1000.0 * mSamplesPerFrame) + 0.5);
}
public int pixelsToMillisecs(int pixels) {
double z = mZoomFactorByZoomLevel[mZoomLevel];
return (int)(pixels * (1000.0 * mSamplesPerFrame) /
(mSampleRate * z) + 0.5);
}
public void setParameters(int start, int end, int offset) {
mSelectionStart = start;
mSelectionEnd = end;
mOffset = offset;
}
public int getStart() {
return mSelectionStart;
}
public int getEnd() {
return mSelectionEnd;
}
public int getOffset() {
return mOffset;
}
public void setPlayback(int pos) {
mPlaybackPos = pos;
}
public void setListener(WaveformListener listener) {
mListener = listener;
}
public void recomputeHeights(float density) {
mHeightsAtThisZoomLevel = null;
mDensity = density;
mTimecodePaint.setTextSize((int)(12 * density));
invalidate();
}
protected void drawWaveformLine(Canvas canvas,
int x, int y0, int y1,
Paint paint) {
canvas.drawLine(x, y0, x, y1, paint);
}
#Override
protected void onDraw(Canvas canvas) {
super.onDraw(canvas);
if (mSoundFile == null)
return;
if (mHeightsAtThisZoomLevel == null)
computeIntsForThisZoomLevel();
// Draw waveform
int measuredWidth = getMeasuredWidth();
int measuredHeight = getMeasuredHeight();
int start = mOffset;
int width = mHeightsAtThisZoomLevel.length - start;
int ctr = measuredHeight / 2;
if (width > measuredWidth)
width = measuredWidth;
// Draw grid
double onePixelInSecs = pixelsToSeconds(1);
boolean onlyEveryFiveSecs = (onePixelInSecs > 1.0 / 50.0);
double fractionalSecs = mOffset * onePixelInSecs;
int integerSecs = (int) fractionalSecs;
int i = 0;
while (i < width) {
i++;
fractionalSecs += onePixelInSecs;
int integerSecsNew = (int) fractionalSecs;
if (integerSecsNew != integerSecs) {
integerSecs = integerSecsNew;
if (!onlyEveryFiveSecs || 0 == (integerSecs % 5)) {
canvas.drawLine(i, 0, i, measuredHeight, mGridPaint);
}
}
}
// Draw waveform
for (i = 0; i < width; i++) {
Paint paint;
if (i + start >= mSelectionStart &&
i + start < mSelectionEnd) {
paint = mSelectedLinePaint;
} else {
drawWaveformLine(canvas, i, 0, measuredHeight,
mUnselectedBkgndLinePaint);
paint = mUnselectedLinePaint;
}
drawWaveformLine(
canvas, i,
ctr - mHeightsAtThisZoomLevel[start + i],
ctr + 1 + mHeightsAtThisZoomLevel[start + i],
paint);
if (i + start == mPlaybackPos) {
canvas.drawLine(i, 0, i, measuredHeight, mPlaybackLinePaint);
}
}
// If we can see the right edge of the waveform, draw the
// non-waveform area to the right as unselected
for (i = width; i < measuredWidth; i++) {
drawWaveformLine(canvas, i, 0, measuredHeight,
mUnselectedBkgndLinePaint);
}
// Draw borders
canvas.drawLine(
mSelectionStart - mOffset + 0.5f, 30,
mSelectionStart - mOffset + 0.5f, measuredHeight,
mBorderLinePaint);
canvas.drawLine(
mSelectionEnd - mOffset + 0.5f, 0,
mSelectionEnd - mOffset + 0.5f, measuredHeight - 30,
mBorderLinePaint);
// Draw timecode
double timecodeIntervalSecs = 1.0;
if (timecodeIntervalSecs / onePixelInSecs < 50) {
timecodeIntervalSecs = 5.0;
}
if (timecodeIntervalSecs / onePixelInSecs < 50) {
timecodeIntervalSecs = 15.0;
}
// Draw grid
fractionalSecs = mOffset * onePixelInSecs;
int integerTimecode = (int) (fractionalSecs / timecodeIntervalSecs);
i = 0;
while (i < width) {
i++;
fractionalSecs += onePixelInSecs;
integerSecs = (int) fractionalSecs;
int integerTimecodeNew = (int) (fractionalSecs /
timecodeIntervalSecs);
if (integerTimecodeNew != integerTimecode) {
integerTimecode = integerTimecodeNew;
// Turn, e.g. 67 seconds into "1:07"
String timecodeMinutes = "" + (integerSecs / 60);
String timecodeSeconds = "" + (integerSecs % 60);
if ((integerSecs % 60) < 10) {
timecodeSeconds = "0" + timecodeSeconds;
}
String timecodeStr = timecodeMinutes + ":" + timecodeSeconds;
float offset = (float) (
0.5 * mTimecodePaint.measureText(timecodeStr));
canvas.drawText(timecodeStr,
i - offset,
(int)(12 * mDensity),
mTimecodePaint);
}
}
if (mListener != null) {
mListener.waveformDraw();
}
}
/**
* Called once when a new sound file is added
*/
private void computeDoublesForAllZoomLevels() {
int numFrames = mSoundFile.getNumFrames();
int[] frameGains = mSoundFile.getFrameGains();
double[] smoothedGains = new double[numFrames];
if (numFrames == 1) {
smoothedGains[0] = frameGains[0];
} else if (numFrames == 2) {
smoothedGains[0] = frameGains[0];
smoothedGains[1] = frameGains[1];
} else if (numFrames > 2) {
smoothedGains[0] = (double)(
(frameGains[0] / 2.0) +
(frameGains[1] / 2.0));
for (int i = 1; i < numFrames - 1; i++) {
smoothedGains[i] = (double)(
(frameGains[i - 1] / 3.0) +
(frameGains[i ] / 3.0) +
(frameGains[i + 1] / 3.0));
}
smoothedGains[numFrames - 1] = (double)(
(frameGains[numFrames - 2] / 2.0) +
(frameGains[numFrames - 1] / 2.0));
}
// Make sure the range is no more than 0 - 255
double maxGain = 1.0;
for (int i = 0; i < numFrames; i++) {
if (smoothedGains[i] > maxGain) {
maxGain = smoothedGains[i];
}
}
double scaleFactor = 1.0;
if (maxGain > 255.0) {
scaleFactor = 255 / maxGain;
}
// Build histogram of 256 bins and figure out the new scaled max
maxGain = 0;
int gainHist[] = new int[256];
for (int i = 0; i < numFrames; i++) {
int smoothedGain = (int)(smoothedGains[i] * scaleFactor);
if (smoothedGain < 0)
smoothedGain = 0;
if (smoothedGain > 255)
smoothedGain = 255;
if (smoothedGain > maxGain)
maxGain = smoothedGain;
gainHist[smoothedGain]++;
}
// Re-calibrate the min to be 5%
double minGain = 0;
int sum = 0;
while (minGain < 255 && sum < numFrames / 20) {
sum += gainHist[(int)minGain];
minGain++;
}
// Re-calibrate the max to be 99%
sum = 0;
while (maxGain > 2 && sum < numFrames / 100) {
sum += gainHist[(int)maxGain];
maxGain--;
}
// Compute the heights
double[] heights = new double[numFrames];
double range = maxGain - minGain;
for (int i = 0; i < numFrames; i++) {
double value = (smoothedGains[i] * scaleFactor - minGain) / range;
if (value < 0.0)
value = 0.0;
if (value > 1.0)
value = 1.0;
heights[i] = value * value;
}
mNumZoomLevels = 5;
mLenByZoomLevel = new int[5];
mZoomFactorByZoomLevel = new double[5];
mValuesByZoomLevel = new double[5][];
// Level 0 is doubled, with interpolated values
mLenByZoomLevel[0] = numFrames * 2;
mZoomFactorByZoomLevel[0] = 2.0;
mValuesByZoomLevel[0] = new double[mLenByZoomLevel[0]];
if (numFrames > 0) {
mValuesByZoomLevel[0][0] = 0.5 * heights[0];
mValuesByZoomLevel[0][1] = heights[0];
}
for (int i = 1; i < numFrames; i++) {
mValuesByZoomLevel[0][2 * i] = 0.5 * (heights[i - 1] + heights[i]);
mValuesByZoomLevel[0][2 * i + 1] = heights[i];
}
// Level 1 is normal
mLenByZoomLevel[1] = numFrames;
mValuesByZoomLevel[1] = new double[mLenByZoomLevel[1]];
mZoomFactorByZoomLevel[1] = 1.0;
for (int i = 0; i < mLenByZoomLevel[1]; i++) {
mValuesByZoomLevel[1][i] = heights[i];
}
// 3 more levels are each halved
for (int j = 2; j < 5; j++) {
mLenByZoomLevel[j] = mLenByZoomLevel[j - 1] / 2;
mValuesByZoomLevel[j] = new double[mLenByZoomLevel[j]];
mZoomFactorByZoomLevel[j] = mZoomFactorByZoomLevel[j - 1] / 2.0;
for (int i = 0; i < mLenByZoomLevel[j]; i++) {
mValuesByZoomLevel[j][i] =
0.5 * (mValuesByZoomLevel[j - 1][2 * i] +
mValuesByZoomLevel[j - 1][2 * i + 1]);
}
}
if (numFrames > 5000) {
mZoomLevel = 3;
} else if (numFrames > 1000) {
mZoomLevel = 2;
} else if (numFrames > 300) {
mZoomLevel = 1;
} else {
mZoomLevel = 0;
}
mInitialized = true;
}
/**
* Called the first time we need to draw when the zoom level has changed
* or the screen is resized
*/
private void computeIntsForThisZoomLevel() {
int halfHeight = (getMeasuredHeight() / 2) - 1;
mHeightsAtThisZoomLevel = new int[mLenByZoomLevel[mZoomLevel]];
for (int i = 0; i < mLenByZoomLevel[mZoomLevel]; i++) {
mHeightsAtThisZoomLevel[i] =
(int)(mValuesByZoomLevel[mZoomLevel][i] * halfHeight);
}
}
}
The change is here in this part of code
DisplayMetrics displaymetrics = getContext().getResources().getDisplayMetrics();
int ScreenWidth= displaymetrics.widthPixels;
// Draw waveform
for ( i = 0; i < width; i++) {
Paint paint;
if (i + start >= mSelectionStart &&
i + start < mSelectionEnd) {
paint = mSelectedLinePaint;
} else {
drawWaveformLine(canvas, ((ScreenWidth/width)*i), 0, measuredHeight,
mUnselectedBkgndLinePaint);
paint = mUnselectedLinePaint;
}
drawWaveformLine(
canvas, ((ScreenWidth/width)*i),
ctr - mHeightsAtThisZoomLevel[start + i],
ctr + 1 + mHeightsAtThisZoomLevel[start + i],
paint);
you have to change the x-axis of draw line method according to your screen size

import java.util.LinkedList;
import android.content.Context;
import android.graphics.Canvas;
import android.graphics.Color;
import android.graphics.Paint;
import android.util.AttributeSet;
import android.view.SurfaceView;
/**
* A view that displays audio data on the screen as a waveform.
*/
public class WaveformView extends SurfaceView {
// The number of buffer frames to keep around (for a nice fade-out
// visualization.
private static final int HISTORY_SIZE = 6;
// To make quieter sounds still show up well on the display, we use
// +/- 8192 as the amplitude that reaches the top/bottom of the view
// instead of +/- 32767. Any samples that have magnitude higher than this
// limit will simply be clipped during drawing.
private static final float MAX_AMPLITUDE_TO_DRAW = 8192.0f;
// The queue that will hold historical audio data.
private LinkedList<short[]> mAudioData;
private Paint mPaint;
public WaveformView(Context context) {
this(context, null, 0);
}
public WaveformView(Context context, AttributeSet attrs) {
this(context, attrs, 0);
}
public WaveformView(Context context, AttributeSet attrs, int defStyle) {
super(context, attrs, defStyle);
mAudioData = new LinkedList<short[]>();
mPaint = new Paint();
mPaint.setStyle(Paint.Style.STROKE);
mPaint.setColor(Color.WHITE);
mPaint.setStrokeWidth(0);
mPaint.setAntiAlias(true);
}
/**
* Updates the waveform view with a new "frame" of samples and renders it.
* The new frame gets added to the front of the rendering queue, pushing the
* previous frames back, causing them to be faded out visually.
*
* #param buffer the most recent buffer of audio samples.
*/
public synchronized void updateAudioData(short[] buffer) {
short[] newBuffer;
// We want to keep a small amount of history in the view to provide a nice
// fading effect. We use a linked list that we treat as a queue for this.
if (mAudioData.size() == HISTORY_SIZE) {
newBuffer = mAudioData.removeFirst();
System.arraycopy(buffer, 0, newBuffer, 0, buffer.length);
} else {
newBuffer = buffer.clone();
}
mAudioData.addLast(newBuffer);
// Update the display.
Canvas canvas = getHolder().lockCanvas();
if (canvas != null) {
drawWaveform(canvas);
getHolder().unlockCanvasAndPost(canvas);
}
}
/**
* Repaints the view's surface.
*
* #param canvas the {#link Canvas} object on which to draw.
*/
private void drawWaveform(Canvas canvas) {
// Clear the screen each time because SurfaceView won't do this for us.
canvas.drawColor(Color.BLACK);
float width = getWidth();
float height = getHeight();
float centerY = height / 2;
// We draw the history from oldest to newest so that the older audio
// data is further back and darker than the most recent data.
int colorDelta = 255 / (HISTORY_SIZE + 1);
int brightness = colorDelta;
for (short[] buffer : mAudioData) {
mPaint.setColor(Color.argb(brightness, 128, 255, 192));
float lastX = -1;
float lastY = -1;
// For efficiency, we don't draw all of the samples in the buffer,
// but only the ones that align with pixel boundaries.
for (int x = 0; x < width; x++) {
int index = (int) ((x / width) * buffer.length);
short sample = buffer[index];
float y = (sample / MAX_AMPLITUDE_TO_DRAW) * centerY + centerY;
if (lastX != -1) {
canvas.drawLine(lastX, lastY, x, y, mPaint);
}
lastX = x;
lastY = y;
}
brightness += colorDelta;
}
}
}

Android: Adaptive Thresholding

I'm trying to implement adaptive thresholding algorithm by Derek Bradley using Android. But it is returning black pixels all the time. Here is my code snippet. Please suggest me about what should I do. Thanks in advance.
public static Bitmap GrayscaleToBin(Bitmap bm2)
{
Bitmap bm;
bm=bm2.copy(Config.ARGB_8888, true);
final int width = bm.getWidth();
final int height = bm.getHeight();
int[] pixels;
pixels = new int[width*height];
bm.getPixels(pixels,0,width,0,0,width,height);
//Bradley AdaptiveThrsholdging
int []intImg= new int[width*height];
int sum=0;
for(int i=0;i<width;++i){
sum=0;
for(int j=0;j<height;++j)
{
sum=sum+pixels[i+j*width];
if(i==0){intImg[i+j*width]=sum;}
else
{
intImg[i+j*width]= intImg[i-1+j*width]+sum;
}
}
}
int x1,x2,y1,y2=0,count=0;
int s=width >> 3;
int t=15;
for(int i=0;i<width;++i)
{
for(int j=0;j<height;++j)
{
x1=i-s/2;
x2=i+s/2;
y1=j-s/2;
y2=j+s/2;
if (x1 <0) x1 = 0;
if (x2>= width) x2 = width-1;
if (y1 <0) y1 = 0;
if (y2>= height) y2 = height-1;
count = (x2-x1) * (y2-y1);
sum = intImg [y2 * width + x2] -
intImg [y1 * width + x2] -
intImg [y2 * width + x1] +
intImg [y1 * width + x1];
if((pixels[i+j*width]*count)<=(sum*(100-t)/100))
{
pixels[i+j*width]=0;
}
else
{
pixels[i+j*width]=255;
}
}
}
/*---------------------------------------------------------------------------*/
bm.setPixels(pixels,0,width,0,0,width,height);
// Log.d("cdsfss","afterloop");
return bm;
}

After a Long struggle I have solved the issue with the following code.
public static Bitmap GrayscaleToBin(Bitmap bm2)
{
Bitmap bm;
bm=bm2.copy(Config.RGB_565, true);
final int width = bm.getWidth();
final int height = bm.getHeight();
int pixel1,pixel2,pixel3,pixel4,A,R;
int[] pixels;
pixels = new int[width*height];
bm.getPixels(pixels,0,width,0,0,width,height);
int size=width*height;
int s=width/8;
int s2=s>>1;
double t=0.15;
double it=1.0-t;
int []integral= new int[size];
int []threshold=new int[size];
int i,j,diff,x1,y1,x2,y2,ind1,ind2,ind3;
int sum=0;
int ind=0;
while(ind<size)
{
sum+=pixels[ind] & 0xFF;
integral[ind]=sum;
ind+=width;
}
x1=0;
for(i=1;i<width;++i)
{
sum=0;
ind=i;
ind3=ind-s2;
if(i>s)
{
x1=i-s;
}
diff=i-x1;
for(j=0;j<height;++j)
{
sum+=pixels[ind] & 0xFF;
integral[ind]=integral[(int)(ind-1)]+sum;
ind+=width;
if(i<s2)continue;
if(j<s2)continue;
y1=(j<s ? 0 : j-s);
ind1=y1*width;
ind2=j*width;
if (((pixels[ind3]&0xFF)*(diff * (j - y1))) < ((integral[(int)(ind2 + i)] - integral[(int)(ind1 + i)] - integral[(int)(ind2 + x1)] + integral[(int)(ind1 + x1)])*it)) {
threshold[ind3] = 0x00;
} else {
threshold[ind3] = 0xFFFFFF;
}
ind3 += width;
}
}
y1 = 0;
for( j = 0; j < height; ++j )
{
i = 0;
y2 =height- 1;
if( j <height- s2 )
{
i = width - s2;
y2 = j + s2;
}
ind = j * width + i;
if( j > s2 ) y1 = j - s2;
ind1 = y1 * width;
ind2 = y2 * width;
diff = y2 - y1;
for( ; i < width; ++i, ++ind )
{
x1 = ( i < s2 ? 0 : i - s2);
x2 = i + s2;
// check the border
if (x2 >= width) x2 = width - 1;
if (((pixels[ind]&0xFF)*((x2 - x1) * diff)) < ((integral[(int)(ind2 + x2)] - integral[(int)(ind1 + x2)] - integral[(int)(ind2 + x1)] + integral[(int)(ind1 + x1)])*it)) {
threshold[ind] = 0x00;
} else {
threshold[ind] = 0xFFFFFF;
}
}
}
/*-------------------------------
* --------------------------------------------*/
bm.setPixels(threshold,0,width,0,0,width,height);
return bm;
}

You can use Catalano Framework. There's an example using Bradley for Android in samples folder.
FastBitmap fb = new FastBitmap(bitmap);
fb.toGrayscale();
BradleyLocalThreshold bradley = new BradleyLocalThreshold();
bradley.applyInPlace(fb);
bitmap = fb.toBitmap();

Spinning globe in Opengl-es

I found this code to generate a sphere in Opengl es. I am unable to understand the logic, could someone please give me some insights on this.
private void generateData() {
slicesBuffers = new FloatBuffer[slices];
normalsBuffers = new FloatBuffer[slices];
texCoordsBuffers = new FloatBuffer[slices];
for (int i = 0; i < slices; i++) {
float[] vertexCoords = new float[7 * (stacks + 1)];
float[] normalCoords = new float[4* (stacks + 1)];
float[] textureCoords = new float[10 * (stacks + 1)];
double alpha0 = i * (2 * Math.PI) / slices;
double alpha1 = (i + 1) * (2 * Math.PI) / slices;
float cosAlpha0 = (float) Math.cos(alpha0);
float sinAlpha0 = (float) Math.sin(alpha0);
float cosAlpha1 = (float) Math.cos(alpha1);
float sinAlpha1 = (float) Math.sin(alpha1);
for (int j = 0; j <= stacks; j++) {
double beta = j * Math.PI / stacks - Math.PI / 2;
float cosBeta = (float) Math.cos(beta);
float sinBeta = (float) Math.sin(beta);
Utils.setXYZ(vertexCoords, 6 * j,
radius * cosBeta * cosAlpha1,
radius * sinBeta,
radius * cosBeta * sinAlpha1);
Utils.setXYZ(vertexCoords, 6 * j + 3,
radius * cosBeta * cosAlpha0,
radius * sinBeta,
radius * cosBeta * sinAlpha0);
Utils.setXYZ(normalCoords, 6 * j,
cosBeta * cosAlpha1,
sinBeta,
cosBeta * sinAlpha1);
Utils.setXYZ(normalCoords, 6 * j + 3,
cosBeta * cosAlpha0,
sinBeta,
cosBeta * sinAlpha0);
Utils.setXY(textureCoords, 4 * j,
((float) (i + 1)) / slices,
((float) j) / stacks);
Utils.setXY(textureCoords, 4 * j + 2,
((float) i) / slices,
((float) j) / stacks);
}
slicesBuffers[i] = FloatBuffer.wrap(vertexCoords);
normalsBuffers[i] = FloatBuffer.wrap(normalCoords);
texCoordsBuffers[i] = FloatBuffer.wrap(textureCoords);
}
}
Thankyou

For the theory of sphere generation see:
en.wikipedia.org/wiki/Sphere (Vertex)
en.wikipedia.org/wiki/UV_mapping (Texture coordinate)
http://groups.google.com/group/android-developers/browse_thread/thread/0030261b82ed71e5/338fc1dcbfe6945f?lnk=raot(Normal surface)
Your code is right, it have a little bit issues, I have make some corrections:
public Sphere(int slices,int stacks, float radius, float H,float K,float Z, Bitmap image,Bitmap first,Bitmap second){
FloatBuffer[] slicesBuffers = new FloatBuffer[slices];
FloatBuffer[] normalsBuffers = new FloatBuffer[slices];
FloatBuffer[] texCoordsBuffers = new FloatBuffer[slices];
float[] total_vertexBuff;
float[] total_normalsBuff;
float[] total_textCoordsBuff;
int vertex_counter = 0;
int normals_counter = 0;
int texCoords_counter = 0;
int position_dst;
float tmp[];
for (int i = 0; i < slices; i++) {
float[] vertexCoords = new float[ 2 * 3 * (stacks + 1)];
float[] normalCoords = new float[ 2 * 3 *(stacks + 1)];
float[] textureCoords = new float[ 4 * (stacks + 1) ];
double alpha0 = i * (2 * Math.PI) / slices;
double alpha1 = (i + 1) * (2 * Math.PI) / slices;
float cosAlpha0 = (float) Math.cos(alpha0);
float sinAlpha0 = (float) Math.sin(alpha0);
float cosAlpha1 = (float) Math.cos(alpha1);
float sinAlpha1 = (float) Math.sin(alpha1);
for (int j = 0; j <= stacks; j++) {
double beta = j * Math.PI / stacks - Math.PI / 2;
float cosBeta = (float) Math.cos(beta);
float sinBeta = (float) Math.sin(beta);
setXYZ(vertexCoords, 6 * j, radius * cosBeta * cosAlpha1, radius * sinBeta, radius * cosBeta * sinAlpha1 );
setXYZ(vertexCoords, 6 * j + 3,radius * cosBeta * cosAlpha0,radius * sinBeta,radius * cosBeta * sinAlpha0);
vertex_counter += 2;
Log.d(TAG, "j:"+j);
setXYZ(normalCoords, 6 * j,cosBeta * cosAlpha1,sinBeta,cosBeta * sinAlpha1);
setXYZ(normalCoords, 6 * j + 3,cosBeta * cosAlpha0,sinBeta,cosBeta * sinAlpha0);
normals_counter += 2;
setXY(textureCoords, 4 * j,((float) (i + 1)) / slices,((float) j) / stacks);
setXY(textureCoords, 4 * j + 2,((float) i) / slices,((float) j) / stacks);
texCoords_counter += 2;
}
slicesBuffers[i] = FloatBuffer.wrap(vertexCoords);
normalsBuffers[i] = FloatBuffer.wrap(normalCoords);
texCoordsBuffers[i] = FloatBuffer.wrap(textureCoords);
}
total_vertexBuff = new float[vertex_counter * 3];
total_normalsBuff = new float[normals_counter * 3];
total_textCoordsBuff = new float[texCoords_counter * 2];
position_dst = 0;
// ricopio vertici
for (int i = 0; i < slicesBuffers.length; i++) {
for(int j = 0; j < slicesBuffers[i].capacity();j++,position_dst++)
total_vertexBuff[position_dst] = slicesBuffers[i].get(j);
}
position_dst = 0;
// ricopio normali
for (int i = 0; i < normalsBuffers.length; i++) {
for(int j = 0; j < normalsBuffers[i].capacity();j++,position_dst++)
total_normalsBuff[position_dst] = normalsBuffers[i].get(j);
}
position_dst = 0;
// ricopio coordinate texture
for (int i = 0; i < texCoordsBuffers.length; i++) {
for(int j = 0; j < texCoordsBuffers[i].capacity();j++,position_dst++)
total_textCoordsBuff[position_dst] = texCoordsBuffers[i].get(j);
}
this.image = image;
this.half_first = first;
this.half_second = second;
this.vertexBuffer = FloatBuffer.wrap(total_vertexBuff);
this.normalsBuffer = FloatBuffer.wrap(total_normalsBuff);
this.texCoordsBuffer = FloatBuffer.wrap(total_textCoordsBuff);
Log.d(TAG, "vertex_counter:"+vertex_counter);
Log.d(TAG, "texCoords_counter:"+texCoords_counter);
Log.d(TAG, "vertexBuffer:"+this.vertexBuffer.capacity());
Log.d(TAG, "texCoordsBuffer:"+this.texCoordsBuffer.capacity());
this.textures_ids = IntBuffer.allocate(2);
this.totalVertexCount = vertex_counter;
this.setPlaneBuffer();
return;
}
I really hope I help you.
Bye
pedr0