通过使用以下计算,我得到了很好的结果,以获得像这张图片一样的可视化工具。我正在使用近 19 个图像来显示这样的图像。这些图像由 getFFT() 方法输入响应。并确保同时启用均衡器和可视化器,否则它会给出高值,而 fft 值会响应设备音量。实际上我无法由于我的English.so我在这里过去的代码解释代码。
可视化视图:
public class VisualizerView extends View {
private byte[] mBytes;
private float[] mPoints;
Paint mForePaint = new Paint();
// private int width;// height;
private Paint mPaint;
Bitmap mBmpArray[];
int wTilesize;
int hTilesize;
int no_of_colomuns;
private Bitmap peakBitmap;
private float changeFromTop, changeFromLeft;
private int images_drawn_starting_point ;
int magnitudePoints[];
int max[] = new int[34];
int temp[]=new int[32];
private final int[][] images = {
{ R.drawable.blue_fade_1, R.drawable.blue_fade_2,
R.drawable.blue_fade_3, R.drawable.blue_fade_4,
R.drawable.blue_fade_5, R.drawable.blue_fade_6,
R.drawable.blue_fade_7, R.drawable.blue_fade_8,
R.drawable.blue_fade_9, R.drawable.blue_fade_10,
R.drawable.blue_fade_11, R.drawable.blue_fade_12,
R.drawable.blue_fade_13, R.drawable.blue_fade_14,
R.drawable.blue_fade_15, R.drawable.blue_fade_16,
R.drawable.blue_fade_17, R.drawable.blue_fade_18,
R.drawable.blue_fade_19 }};
private final int IMAGES_LENTH = 19;
public VisualizerView(Context context) {
super(context);
mBmpArray = new Bitmap[20];
init();
}
public VisualizerView(Context context, AttributeSet attrs) {
super(context, attrs);
init();
}
public VisualizerView(Context context, AttributeSet attrs, int defStyle) {
super(context, attrs, defStyle);
init();
}
@Override
protected void onSizeChanged(int w, int h, int oldw, int oldh) {
super.onSizeChanged(w, h, oldw, oldh);
images_drawn_starting_point = h;
int temp;
wTilesize = w / 34;
// hTilesize = h / 30;
temp = h - ((IMAGES_LENTH - 1) );
hTilesize = temp / (IMAGES_LENTH );
no_of_colomuns = ( w / (wTilesize));
magnitudePoints = new int[no_of_colomuns];
changeFromLeft = wTilesize + 3f;//For spacing left
changeFromTop = hTilesize + 2.5f;//For spacing Right
}
public void init() {
mPaint = new Paint();
mPaint.setColor(Color.BLACK);
mPaint.setStrokeWidth(5f);
}
@Override
public void draw(Canvas canvas) {
super.draw(canvas);
int h = canvas.getHeight();
int w = canvas.getWidth();
canvas.drawRect(new Rect(0, 0, w, h), mPaint);
if (mBytes == null) {
return;
}
if (mPoints == null || mPoints.length < mBytes.length * 4) {
mPoints = new float[mBytes.length * 4];
}
double magnitude;
//VisualizerActivity.THEME_COLOR=0
for (int j = 0; j < IMAGES_LENTH; j++)
loadTile(j,getResources().getDrawable(images[VisualizerActivity.THEME_COLOR][j]));
for (int i = 0; i < no_of_colomuns; i++) {
byte rfk = mBytes[2 * i];
byte ifk = mBytes[2 * i + 1];
magnitude = ((rfk * rfk + ifk * ifk));
int dbValue = (int) (10 * Math.log10(magnitude));
magnitude = Math.round(dbValue * 8);
try {
magnitudePoints[i] = (int) magnitude;
} catch (Exception e) {
e.printStackTrace();
}
}
int left;
int top;
int index;
try {
index = 0;
left = 0;
int m = 1;
if (VisualizerActivity.THEME_STYLE == 0)
{
// common
for (int i = 0; i < no_of_colomuns; i++) {
top = images_drawn_starting_point;
index = 18;
for (int j = 0; j < IMAGES_LENTH; j++) {
if (j > magnitudePoints[m] / IMAGES_LENTH)
{
canvas.drawBitmap(mBmpArray[0], left, top, mPaint);
index++;
}
else
{
canvas.drawBitmap(mBmpArray[index--], left, top,
mPaint);
}
top -= changeFromTop;// hTilesize+1.5;
}
m++;
left += changeFromLeft;// wTilesize+2.5;
}
}
} catch (Exception e)
{
e.getMessage();
}
}
public void loadTile(int key, Drawable tile) {
try {
Bitmap bitmap = Bitmap.createBitmap(wTilesize, hTilesize,
Bitmap.Config.ARGB_8888);
Canvas canvas = new Canvas(bitmap);
tile.setBounds(0, 0, wTilesize, hTilesize);
tile.draw(canvas);
mBmpArray[key] = bitmap;
} catch (Exception e) {
e.printStackTrace();
}
}
public void updateVisualizerWithFft(byte[] bytes) {
if (AudioPlayer.player != null) {
if (AudioPlayer.player.isPlaying()) {
mBytes = bytes;
}
}
invalidate();
}
}
在 VisualizerActivity.java 中:
AudioPlayer.mVisualizer.setCaptureSize(Visualizer
.getCaptureSizeRange()[1]);
AudioPlayer.mVisualizer.setDataCaptureListener(
new Visualizer.OnDataCaptureListener() {
public void onWaveFormDataCapture(
Visualizer visualizer, byte[] bytes,
int samplingRate) {
// mVisualizerView.updateVisualizer(bytes);
}
public void onFftDataCapture(Visualizer visualizer,
byte[] bytes, int samplingRate) {
mVisualizerView.updateVisualizerWithFft(bytes);
}
}, Visualizer.getMaxCaptureRate() / 2, false, true);