Goo*_*ofy 13 android bitmap out-of-memory
我已经阅读了许多关于解码位图的内存分配问题的相关帖子,但即使在使用官方网站提供的代码后仍然无法找到解决以下问题的方法.
这是我的代码:
public static Bitmap decodeSampledBitmapFromResource(InputStream inputStream, int reqWidth, int reqHeight) {
ByteArrayOutputStream baos = new ByteArrayOutputStream();
byte[] buffer = new byte[1024];
int len;
try {
while ((len = inputStream.read(buffer)) > -1) {
baos.write(buffer, 0, len);
}
baos.flush();
InputStream is1 = new ByteArrayInputStream(baos.toByteArray());
InputStream is2 = new ByteArrayInputStream(baos.toByteArray());
final BitmapFactory.Options options = new BitmapFactory.Options();
options.inJustDecodeBounds = true;
BitmapFactory.decodeStream(is1, null, options);
options.inSampleSize = calculateInSampleSize(options, reqWidth, reqHeight);
options.inPurgeable = true;
options.inInputShareable = true;
options.inJustDecodeBounds = false;
options.inPreferredConfig = Bitmap.Config.ARGB_8888;
return BitmapFactory.decodeStream(is2, null, options);
} catch (Exception e) {
e.printStackTrace();
return null;
}
}
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;
}
bitmap = decodeSampledBitmapFromResource(inputStream, 600, 600);
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我在这一行中得到"3250016字节分配的内存不足错误":
return BitmapFactory.decodeStream(is2, null, options);
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在我看来,3.2 MB足够小,可以分配.我哪里错了?我怎么解决这个问题?
编辑
寻找到这个解决方案后,这里用N-喜悦它正常工作与所需尺寸300,但我需要的尺寸是800,所以我仍然得到错误.
Bin*_*ran 36
该方法decodeSampledBitmapFromResource
不具有内存效率,因为它使用3个流:ByteArrayOutputStream baos,ByteArrayInputStream is1和ByteArrayInputStream is2,每个都存储相同的图像流数据(每个数据库一个字节数组).
当我使用我的设备(LG nexus 4)测试将SD卡上的2560x1600图像解码为目标大小800时,需要执行以下操作:
03-13 15:47:52.557: E/DecodeBitmap(11177): dalvikPss (beginning) = 1780
03-13 15:47:53.157: E/DecodeBitmap(11177): dalvikPss (decoding) = 26393
03-13 15:47:53.548: E/DecodeBitmap(11177): dalvikPss (after all) = 30401 time = 999
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我们可以看到:分配太多内存(28.5 MB)只是为了解码4096000像素图像.
解决方案:我们读取InputStream并将数据直接存储到一个字节数组中,并将此字节数组用于其余工作.
示例代码:
public Bitmap decodeSampledBitmapFromResourceMemOpt(
InputStream inputStream, int reqWidth, int reqHeight) {
byte[] byteArr = new byte[0];
byte[] buffer = new byte[1024];
int len;
int count = 0;
try {
while ((len = inputStream.read(buffer)) > -1) {
if (len != 0) {
if (count + len > byteArr.length) {
byte[] newbuf = new byte[(count + len) * 2];
System.arraycopy(byteArr, 0, newbuf, 0, count);
byteArr = newbuf;
}
System.arraycopy(buffer, 0, byteArr, count, len);
count += len;
}
}
final BitmapFactory.Options options = new BitmapFactory.Options();
options.inJustDecodeBounds = true;
BitmapFactory.decodeByteArray(byteArr, 0, count, options);
options.inSampleSize = calculateInSampleSize(options, reqWidth,
reqHeight);
options.inPurgeable = true;
options.inInputShareable = true;
options.inJustDecodeBounds = false;
options.inPreferredConfig = Bitmap.Config.ARGB_8888;
int[] pids = { android.os.Process.myPid() };
MemoryInfo myMemInfo = mAM.getProcessMemoryInfo(pids)[0];
Log.e(TAG, "dalvikPss (decoding) = " + myMemInfo.dalvikPss);
return BitmapFactory.decodeByteArray(byteArr, 0, count, options);
} catch (Exception e) {
e.printStackTrace();
return null;
}
}
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执行计算的方法:
public void onButtonClicked(View v) {
int[] pids = { android.os.Process.myPid() };
MemoryInfo myMemInfo = mAM.getProcessMemoryInfo(pids)[0];
Log.e(TAG, "dalvikPss (beginning) = " + myMemInfo.dalvikPss);
long startTime = System.currentTimeMillis();
FileInputStream inputStream;
String filePath = Environment.getExternalStorageDirectory()
.getAbsolutePath() + "/test2.png";
File file = new File(filePath);
try {
inputStream = new FileInputStream(file);
// mBitmap = decodeSampledBitmapFromResource(inputStream, 800, 800);
mBitmap = decodeSampledBitmapFromResourceMemOpt(inputStream, 800,
800);
ImageView imageView = (ImageView) findViewById(R.id.image);
imageView.setImageBitmap(mBitmap);
} catch (FileNotFoundException e) {
e.printStackTrace();
}
myMemInfo = mAM.getProcessMemoryInfo(pids)[0];
Log.e(TAG, "dalvikPss (after all) = " + myMemInfo.dalvikPss
+ " time = " + (System.currentTimeMillis() - startTime));
}
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结果如下:
03-13 16:02:20.373: E/DecodeBitmap(13663): dalvikPss (beginning) = 1823
03-13 16:02:20.923: E/DecodeBitmap(13663): dalvikPss (decoding) = 18414
03-13 16:02:21.294: E/DecodeBitmap(13663): dalvikPss (after all) = 18414 time = 917
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看看这个视频。http://www.youtube.com/watch?v=_CruQY55HOk。不要按照视频中的建议使用 system.gc()。使用 MAT 分析器找出内存泄漏。我猜返回的位图太大导致内存泄漏。
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