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android - View.post 没有加快图像处理速度?

转载 作者:行者123 更新时间:2023-11-29 22:24:12 25 4
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我正在尝试通过线程化来加速我的应用程序。它是一个在位图上放置鱼眼效果的应用程序。它运行良好,但运行速度非常慢。我已经记录了各种方法的一些处理时间,并将其精确定位到过滤器类中的 barrel() 方法。这个方法需要一个位图并循环通过它扭曲像素,这个循环需要大约 40 秒才能完成!我试过 AsyncTask 但这也需要 40 多秒。最后,我尝试了 View.post 机制,但这会产生相同的结果。有什么办法可以加快这个应用程序的速度吗?任何想法将不胜感激,谢谢马特。

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public class TouchView extends View{


private File tempFile;
private byte[] imageArray;
private Bitmap bgr;
private Bitmap bm;
private Bitmap bgr2 = null;;
private Paint pTouch;
private int centreX = 1;
private int centreY = 1;
private int radius = 50;
private int Progress = 1;
private static final String TAG = "*********TouchView";
private Filters f = null;
private boolean AsyncRunning = false;
// private MyTask mt = null;



public TouchView(Context context) {
super(context);
// TouchView(context, null);
}




public TouchView(Context context, AttributeSet attr) {
super(context,attr);


........... code to get bitmap from camera shot.........

bgr2 = Bitmap.createBitmap(bm.getWidth(), bm.getHeight(), bm.getConfig());



f = new Filters();





}// end of touchView constructor


public void findCirclePixels(){


new Thread(new Runnable() {
public void run() {
float prog = (float)Progress/150000;

final Bitmap bgr3 = f.barrel(bgr,prog);
TouchView.this.post(new Runnable() {
public void run() {
TouchView.this.bgr2 = bgr3;
TouchView.this.invalidate();
}
});
}
}).start();





}// end of changePixel()








public void initSlider(final HorizontalSlider slider)
{
// Log.e(TAG, "******setting up slider*********** ");
slider.setOnProgressChangeListener(changeListener);
}



private OnProgressChangeListener changeListener = new OnProgressChangeListener() {


@Override
public void onProgressChanged(View v, int progress) {
// TODO Auto-generated method stub


setProgress(progress);
//TouchView.this.Progress = progress;


}
};



@Override
public void onDraw(Canvas canvas){
super.onDraw(canvas);


canvas.drawBitmap(bgr2, 0, 0, null);




}//end of onDraw




protected void setProgress(int progress2) {
//Log.e(TAG, "***********in SETPROGRESS");
this.Progress = progress2;



findCirclePixels();
invalidate();


}




}

.

import android.graphics.Bitmap;
import android.util.Log;

class Filters{
float xscale;
float yscale;
float xshift;
float yshift;
int [] s;
private String TAG = "Filters";
long getRadXStart = 0;
long getRadXEnd = 0;
long startSample = 0;
long endSample = 0;
public Filters(){

Log.e(TAG, "***********inside filter constructor");
}

public Bitmap barrel (Bitmap input, float k){
//Log.e(TAG, "***********INSIDE BARREL METHOD ");

float centerX=input.getWidth()/2; //center of distortion
float centerY=input.getHeight()/2;

int width = input.getWidth(); //image bounds
int height = input.getHeight();

Bitmap dst = Bitmap.createBitmap(width, height,input.getConfig() ); //output pic
// Log.e(TAG, "***********dst bitmap created ");
xshift = calc_shift(0,centerX-1,centerX,k);

float newcenterX = width-centerX;
float xshift_2 = calc_shift(0,newcenterX-1,newcenterX,k);

yshift = calc_shift(0,centerY-1,centerY,k);

float newcenterY = height-centerY;
float yshift_2 = calc_shift(0,newcenterY-1,newcenterY,k);

xscale = (width-xshift-xshift_2)/width;
// Log.e(TAG, "***********xscale ="+xscale);
yscale = (height-yshift-yshift_2)/height;
// Log.e(TAG, "***********yscale ="+yscale);
// Log.e(TAG, "***********filter.barrel() about to loop through bm");
/*for(int j=0;j<dst.getHeight();j++){
for(int i=0;i<dst.getWidth();i++){
float x = getRadialX((float)i,(float)j,centerX,centerY,k);
float y = getRadialY((float)i,(float)j,centerX,centerY,k);
sampleImage(input,x,y);
int color = ((s[1]&0x0ff)<<16)|((s[2]&0x0ff)<<8)|(s[3]&0x0ff);
// System.out.print(i+" "+j+" \\");

dst.setPixel(i, j, color);

}
}*/

int origPixel;
long startLoop = System.currentTimeMillis();
for(int j=0;j<dst.getHeight();j++){
for(int i=0;i<dst.getWidth();i++){
origPixel= input.getPixel(i,j);
getRadXStart = System.currentTimeMillis();
float x = getRadialX((float)j,(float)i,centerX,centerY,k);
getRadXEnd= System.currentTimeMillis();

float y = getRadialY((float)j,(float)i,centerX,centerY,k);

sampleImage(input,x,y);

int color = ((s[1]&0x0ff)<<16)|((s[2]&0x0ff)<<8)|(s[3]&0x0ff);
// System.out.print(i+" "+j+" \\");

if( Math.sqrt( Math.pow(i - centerX, 2) + ( Math.pow(j - centerY, 2) ) ) <= 150 ){
dst.setPixel(i, j, color);
}else{
dst.setPixel(i,j,origPixel);
}
}
}
long endLoop = System.currentTimeMillis();
long loopDuration = endLoop - startLoop;
long radXDuration = getRadXEnd - getRadXStart;
long sampleDur = endSample - startSample;

Log.e(TAG, "sample method took "+sampleDur+"ms");
Log.e(TAG, "getRadialX took "+radXDuration+"ms");
Log.e(TAG, "loop took "+loopDuration+"ms");

// Log.e(TAG, "***********filter.barrel() looped through bm about to return dst bm");
return dst;
}

void sampleImage(Bitmap arr, float idx0, float idx1)
{
startSample = System.currentTimeMillis();
s = new int [4];
if(idx0<0 || idx1<0 || idx0>(arr.getHeight()-1) || idx1>(arr.getWidth()-1)){
s[0]=0;
s[1]=0;
s[2]=0;
s[3]=0;
return;
}

float idx0_fl=(float) Math.floor(idx0);
float idx0_cl=(float) Math.ceil(idx0);
float idx1_fl=(float) Math.floor(idx1);
float idx1_cl=(float) Math.ceil(idx1);

int [] s1 = getARGB(arr,(int)idx0_fl,(int)idx1_fl);
int [] s2 = getARGB(arr,(int)idx0_fl,(int)idx1_cl);
int [] s3 = getARGB(arr,(int)idx0_cl,(int)idx1_cl);
int [] s4 = getARGB(arr,(int)idx0_cl,(int)idx1_fl);

float x = idx0 - idx0_fl;
float y = idx1 - idx1_fl;

s[0]= (int) (s1[0]*(1-x)*(1-y) + s2[0]*(1-x)*y + s3[0]*x*y + s4[0]*x*(1-y));
s[1]= (int) (s1[1]*(1-x)*(1-y) + s2[1]*(1-x)*y + s3[1]*x*y + s4[1]*x*(1-y));
s[2]= (int) (s1[2]*(1-x)*(1-y) + s2[2]*(1-x)*y + s3[2]*x*y + s4[2]*x*(1-y));
s[3]= (int) (s1[3]*(1-x)*(1-y) + s2[3]*(1-x)*y + s3[3]*x*y + s4[3]*x*(1-y));

endSample = System.currentTimeMillis();
}

int [] getARGB(Bitmap buf,int x, int y){

int rgb = buf.getPixel(y, x); // Returns by default ARGB.
int [] scalar = new int[4];
scalar[0] = (rgb >>> 24) & 0xFF;
scalar[1] = (rgb >>> 16) & 0xFF;
scalar[2] = (rgb >>> 8) & 0xFF;
scalar[3] = (rgb >>> 0) & 0xFF;
return scalar;
}

float getRadialX(float x,float y,float cx,float cy,float k){

x = (x*xscale+xshift);
y = (y*yscale+yshift);
float res = x+((x-cx)*k*((x-cx)*(x-cx)+(y-cy)*(y-cy)));
return res;
}

float getRadialY(float x,float y,float cx,float cy,float k){

x = (x*xscale+xshift);
y = (y*yscale+yshift);
float res = y+((y-cy)*k*((x-cx)*(x-cx)+(y-cy)*(y-cy)));
return res;
}

float thresh = 1;

float calc_shift(float x1,float x2,float cx,float k){

float x3 = (float)(x1+(x2-x1)*0.5);
float res1 = x1+((x1-cx)*k*((x1-cx)*(x1-cx)));
float res3 = x3+((x3-cx)*k*((x3-cx)*(x3-cx)));

if(res1>-thresh && res1 < thresh)
return x1;
if(res3<0){
return calc_shift(x3,x2,cx,k);
}
else{
return calc_shift(x1,x3,cx,k);
}
}



}// end of filters class

最佳答案

float 学一般来说很糟糕,几乎在每台计算机上都是如此。然而,它在缺乏浮点协处理器支持的设备上确实很糟糕,例如一半的 Android 设备。所以,摆脱 float 学的每一点,例如:

  • 您不需要通过浮点ceil()floor() 方法运行整数

  • 您不需要计算 sqrt() 来与 150 进行比较,而不是跳过 sqrt() 并与22500

  • 您不需要浮点pow() 来计算某物的平方;相反,使用称为“乘法”的高级数学运算

  • 我怀疑半像素在你的计算中会很重要,所以你可能不需要 centerXcenterYfloat

  • 等等

在紧要关头,您可能需要使用诸如适用于 Android 的 Google map 插件之类的技巧。通常,您会想到十进制度数的纬度和经度,但这意味着大量的 float 学运算。 Google map 使用以微度(10^6 度)为单位的纬度和经度,以便能够以定点数学进行所有计算,同时保持合理的准确性。

是否所有这些都会使性能下降到您认为合理的水平,我不能说。但是,在开始提示 Android 代码的质量之前,您应该确保您的代码质量合理,就像您在上一条评论中所做的那样。

关于android - View.post 没有加快图像处理速度?,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/6397452/

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