Android与内存位图不兼容
我正在创建一个从相机获取图像的应用程序（使用CameraKit库），处理图像并使用Google Vision Api进行OCR读取，并获取此错误：
致命例外：主要过程：com。 。 ，PID：1938 java.lang.OutOfMemoryError：在android.graphics.Bitmap.nativeCreate（Native Method）处的dalvik.system.VMRuntime.newNonMovableArray（Native Method）时，未能分配63701004字节分配，其空闲字节数为16777216，在android.graphics.Bitmap.createBitmap（Bitmap.java:849）上的android.graphics.Bitmap.createBitmap（Bitmap.java:882）在android.graphics.Bitmap.createBitmap（Bitmap.java:905） *。****。Reader.ReaderResultActivity.createContrast（ReaderResultActivity.java:123）at com. *****。****。Reader.ReaderResultActivity.onCreate（ReaderResultActivity.java:47）at android.app。 Activity.performCreate（Activity.java:6672）at android.app.Instrumentation.callActivityOnCreate（Instrumentation.java:1140）at android.app.ActivityThread.performLaunchActivity（ActivityThread.java:2612）at android.app.ActivityThread.handleLaunchActivity（ActivityThread） .java：2724）at android.app.ActivityThread.-wrap12（ActivityThread.java）at android.app.ActivityThread $ H.handleMessage（ActivityTh read.java:1473）在android.os.Handler.dispatchMessage（Handler.java:102）android.os.Looper.loop（Looper.java:154）在android.app.ActivityThread.main（ActivityThread.java:6123） ）at com.android.internal.os.ZygoteInit上的java.lang.reflect.Method.invoke（Native方法）$ com.android.internal.os.ZygoteInit.main上的$ MethodAndArgsCaller.run（ZygoteInit.java:867）（ZygoteInit的.java：757）
ReaderResultActivity代码：
@Override
protected void onCreate(Bundle savedInstanceState) {
super.onCreate(savedInstanceState);
setContentView(R.layout.activity_reader_result);
ImageView img1 = (ImageView)findViewById(R.id.imageView2);
ImageView img2 = (ImageView)findViewById(R.id.imageView3);
ImageView img3 = (ImageView)findViewById(R.id.imageView4);
TextView scanResults = (TextView)findViewById(R.id.textView);
//Get bitmap from a static class.
Bitmap bitmap = Reader.img;
Bitmap grayScale = toGrayscale(bitmap);
Bitmap blackWhiteImage = createContrast(grayScale, 50);
Bitmap invertColor = invertColor(blackWhiteImage);
//Show process steps
img1.setImageBitmap(grayScale);
img2.setImageBitmap(blackWhiteImage);
img3.setImageBitmap(invertColor);
TextRecognizer detector = new TextRecognizer.Builder(getApplicationContext()).build();
try {
if (detector.isOperational()) {
Frame frame = new Frame.Builder().setBitmap(invertColor).build();
SparseArray<TextBlock> textBlocks = detector.detect(frame);
String blocks = "";
String lines = "";
String words = "";
for (int index = 0; index < textBlocks.size(); index++) {
//extract scanned text blocks here
TextBlock tBlock = textBlocks.valueAt(index);
blocks = blocks + tBlock.getValue() + "n" + "n";
for (Text line : tBlock.getComponents()) {
//extract scanned text lines here
lines = lines + line.getValue() + "n";
for (Text element : line.getComponents()) {
//extract scanned text words here
words = words + element.getValue() + ", ";
}
}
}
if (textBlocks.size() == 0) {
scanResults.setText("Scan Failed: Found nothing to scan");
} else {
lines = lines.replaceAll("o", "0");
lines = lines.replaceAll("A", "1");
scanResults.setText(lines + "n");
}
} else {
scanResults.setText("Could not set up the detector!");
}
} catch (Exception e) {
Toast.makeText(this, "Failed to load Image", Toast.LENGTH_SHORT)
.show();
Log.e("312", e.toString());
}
}
private Bitmap processImage(Bitmap bitmap){
Bitmap grayScale = toGrayscale(bitmap);
Bitmap blackWhiteImage = createContrast(grayScale, 50);
Bitmap invertColor = invertColor(blackWhiteImage);
return invertColor;
}
public Bitmap toGrayscale(Bitmap bmpOriginal) {
int width, height;
height = bmpOriginal.getHeight();
width = bmpOriginal.getWidth();
Bitmap bmpGrayscale = Bitmap.createBitmap(width, height, bmpOriginal.getConfig());
Canvas c = new Canvas(bmpGrayscale);
Paint paint = new Paint();
ColorMatrix cm = new ColorMatrix();
cm.setSaturation(0);
ColorMatrixColorFilter f = new ColorMatrixColorFilter(cm);
paint.setColorFilter(f);
c.drawBitmap(bmpOriginal, 0, 0, paint);
return bmpGrayscale;
}
public static Bitmap createContrast(Bitmap src, double value) {
// image size
int width = src.getWidth();
int height = src.getHeight();
// create output bitmap
Bitmap bmOut = Bitmap.createBitmap(width, height, src.getConfig());
// color information
int A, R, G, B;
int pixel;
// get contrast value
double contrast = Math.pow((100 + value) / 100, 2);
// scan through all pixels
for(int x = 0; x < width; ++x) {
for(int y = 0; y < height; ++y) {
// get pixel color
pixel = src.getPixel(x, y);
A = Color.alpha(pixel);
// apply filter contrast for every channel R, G, B
R = Color.red(pixel);
R = (int)(((((R / 255.0) - 0.5) * contrast) + 0.5) * 255.0);
if(R < 0) { R = 0; }
else if(R > 255) { R = 255; }
G = Color.red(pixel);
G = (int)(((((G / 255.0) - 0.5) * contrast) + 0.5) * 255.0);
if(G < 0) { G = 0; }
else if(G > 255) { G = 255; }
B = Color.red(pixel);
B = (int)(((((B / 255.0) - 0.5) * contrast) + 0.5) * 255.0);
if(B < 0) { B = 0; }
else if(B > 255) { B = 255; }
// set new pixel color to output bitmap
bmOut.setPixel(x, y, Color.argb(A, R, G, B));
}
}
return bmOut;
}
Bitmap invertColor(Bitmap src){
Bitmap copy = src.copy(src.getConfig(), true);
for (int x = 0; x < copy.getWidth(); ++x) {
for (int y = 0; y < copy.getHeight(); ++y) {
int color = copy.getPixel(x, y);
int r = Color.red(color);
int g = Color.green(color);
int b = Color.blue(color);
int avg = (r + g + b) / 3;
int newColor = Color.argb(255, 255 - avg, 255 - avg, 255 - avg);
copy.setPixel(x, y, newColor);
}
}
return copy;
}
已经尝试在Manifest中做到这一点
机器人：largeHeap = “真”
但是，应用程序停止运行时：
ReaderResultActivity.createContrast（ReaderResultActivity.java:123）
没有“largeHeap”标签时出现错误的同一行。 只是不知道该怎么做，但我认为这与每个进程函数中的所有“Bitmap.CreateBitmap”都有关系。 但是如果没有这样做，在OCR读取中，会出现错误，指出位图格式不正确。
您在不同的图像视图中加载三个位图，而根据您要在UI上显示的大小进行缩放。
Android设备的摄像头以比设备屏幕密度高得多的分辨率捕捉图片。
鉴于您正在使用有限的内存，理想情况下，您只需要在内存中加载较低分辨率的版本。 较低分辨率的版本应该与显示它的UI组件的大小相匹配。 分辨率更高的图像不会提供任何可见的好处，但仍会占用宝贵的内存，并由于其他即时缩放而导致额外的性能开销。
您可以按照开发者文档建议对其进行优化 - https://developer.android.com/topic/performance/graphics/load-bitmap.html
链接地址: http://www.djcxy.com/p/33663.html