我有一张关于1948X674尺寸和104kb尺寸的图像。它在三星galaxy S3上提供OutOfMemoryError。我在水平滚动视图中显示此图像。 这是我的xml
<RelativeLayout xmlns:android="http://schemas.android.com/apk/res/android"
xmlns:tools="http://schemas.android.com/tools"
android:layout_width="match_parent"
android:layout_height="match_parent"
tools:context=".Panorama" >
<HorizontalScrollView
android:id="@+id/hscroll"
android:layout_width="wrap_content"
android:layout_height="match_parent"
android:layout_above="@+id/tapToEnter"
android:scrollbars="none" >
<ImageView
android:id="@+id/imgPanorama"
android:layout_width="wrap_content"
android:layout_height="match_parent" />
</HorizontalScrollView>
<Button
android:id="@+id/tapToEnter"
android:layout_width="match_parent"
android:layout_height="wrap_content"
android:layout_alignParentBottom="true"
android:text="Tap to enter" />
</RelativeLayout>
我正以编程方式将图像设置为它。 decodeSampledBitmapFromResource()我在Loading Large Bitmap Efficiently使用。
Bitmap bmp;
try
{
BitmapDrawable bd=(BitmapDrawable)getResources().getDrawable(R.drawable.panorama);
reqwidth=bd.getIntrinsicWidth();
reqheight = bd.getIntrinsicHeight();
}catch(OutOfMemoryError oom)
{
oom.printStackTrace();
}
bmp=decodeSampledBitmapFromResource(getResources(),R.drawable.panorama, reqwidth, reqheight);
imgPanorama.setImageBitmap(bmp);
public static int calculateInSampleSize(
BitmapFactory.Options options, int reqWidth, int reqHeight) {
// Raw height and width of image
final int height = options.outHeight;
final int width = options.outWidth;
int inSampleSize = 1;
if (height > reqHeight || width > reqWidth) {
// Calculate ratios of height and width to requested height and width
final int heightRatio = Math.round((float) height / (float) reqHeight);
final int widthRatio = Math.round((float) width / (float) reqWidth);
// Choose the smallest ratio as inSampleSize value, this will guarantee
// a final image with both dimensions larger than or equal to the
// requested height and width.
inSampleSize = heightRatio < widthRatio ? heightRatio : widthRatio;
}
return inSampleSize;
}
public static Bitmap decodeSampledBitmapFromResource(Resources res, int resId,
int reqWidth, int reqHeight) {
// First decode with inJustDecodeBounds=true to check dimensions
final BitmapFactory.Options options = new BitmapFactory.Options();
options.inJustDecodeBounds = true;
options.inPurgeable=true;
/*options.inDither=false; //Disable Dithering mode
options.inPurgeable=true; //Tell to gc that whether it needs free memory, the Bitmap can be cleared
options.inInputShareable=true; //Which kind of reference will be used to recover the Bitmap data after being clear, when it will be used in the future
options.inTempStorage=new byte[32 * 1024];
*/
BitmapFactory.decodeResource(res, resId, options);
// Calculate inSampleSize
options.inSampleSize = calculateInSampleSize(options, reqWidth, reqHeight);
// Decode bitmap with inSampleSize set
options.inJustDecodeBounds = false;
return BitmapFactory.decodeResource(res, resId, options);
}
@Override
protected void onDestroy() {
// TODO Auto-generated method stub
super.onDestroy();
if(bmp!=null && !bmp.isRecycled())
{
bmp.recycle();
bmp=null;
}
}
这是我开始活动时的logcat。
03-20 11:20:36.175: I/dalvikvm-heap(30452): Grow heap (frag case) to 17.982MB for 5251824-byte allocation
03-20 11:20:36.260: I/dalvikvm-heap(30452): Grow heap (frag case) to 38.014MB for 21007248-byte allocation
03-20 11:20:36.385: I/dalvikvm-heap(30452): Grow heap (frag case) to 38.016MB for 5251824-byte allocation
03-20 11:20:36.480: I/dalvikvm-heap(30452): Grow heap (frag case) to 58.050MB for 21007248-byte allocation
答案 0 :(得分:2)
Bitmap.recycle()
是你的朋友,因为它允许比手动或自动垃圾收集更快地释放图像的像素数据。因此,当您完成大图像时,在允许它超出范围之前recycle()
是一个好主意。当然,它会在超出范围后自动进行垃圾回收,但recycle()
会立即释放Bitmap
使用的绝大部分内存。
例如,您可以在将recycle()
复制到UI元素后选择Bitmap
:
Bitmap bmp;
bmp=decodeSampledBitmapFromResource(getResources(),R.drawable.panorama, reqwidth, reqheight);
imgPanorama.setImageBitmap(bmp);
// Free the pixel data immediately in order to keep heap from growing out of control.
// This is especially useful while displaying multiple images.
bmp.recycle();
您还可以尝试使用较小的reqwidth
和reqheight
值,这样可以获得更大的计算inSampleSize
,这样您的Bitmap
将会占用更少的内存。