我目前正在使用SurfaceView
中的CameraSource
和com.google.android.gms.vision
来捕获图像上的检测到的文字,但由于它捕获了SurfaceView
区域上的所有内容,我需要丢弃一些被收回的东西。
目标是让SurfaceView
像下一张图片一样工作,忽略红色交叉区域内所有检测到的文字,并仅向我提供蓝色方块上的内容。
这甚至可能吗?
这是布局(没什么特别的):
<?xml version="1.0" encoding="utf-8"?>
<android.support.constraint.ConstraintLayout
xmlns:android="http://schemas.android.com/apk/res/android"
xmlns:app="http://schemas.android.com/apk/res-auto"
android:layout_width="match_parent"
android:layout_height="match_parent">
<SurfaceView
android:id="@+id/fragment_surface"
android:layout_width="0dp"
android:layout_height="0dp"
app:layout_constraintBottom_toBottomOf="parent"
app:layout_constraintLeft_toLeftOf="parent"
app:layout_constraintRight_toRightOf="parent"
app:layout_constraintTop_toTopOf="parent" />
</android.support.constraint.ConstraintLayout>
在这里,您可以在课堂上找到与OCR相关的代码:
public class CameraActivity extends AppCompatActivity {
private SurfaceView surfaceView;
private CameraSource cameraSource;
private StringBuilder builder;
@Override
protected void onCreate(Bundle savedInstanceState) {
super.onCreate(savedInstanceState);
setContentView(R.layout.activity_camera);
surfaceView = (SurfaceView) findViewById(R.id.fragment_surface);
TextRecognizer recognizer = new TextRecognizer.Builder(getApplicationContext()).build();
if (recognizer.isOperational()) {
cameraSource = new CameraSource.Builder(getApplicationContext(), recognizer)
.setFacing(CameraSource.CAMERA_FACING_BACK)
.setRequestedPreviewSize(1280, 1024)
.setRequestedFps(15.0f)
.setAutoFocusEnabled(true)
.build();
surfaceView.getHolder().addCallback(new SurfaceHolder.Callback() {
@Override
public void surfaceCreated(SurfaceHolder holder) {
if (ActivityCompat.checkSelfPermission(getApplicationContext(), Manifest.permission.CAMERA) != PackageManager.PERMISSION_GRANTED) {
ActivityCompat.requestPermissions(CameraActivity.this, new String[]{Manifest.permission.CAMERA}, 100);
return;
}
try {
cameraSource.start(surfaceView.getHolder());
} catch (IOException e) {
e.printStackTrace();
}
}
@Override
public void surfaceChanged(SurfaceHolder holder, int format, int width, int height) {
//
}
@Override
public void surfaceDestroyed(SurfaceHolder holder) {
cameraSource.stop();
}
});
recognizer.setProcessor(new Detector.Processor<TextBlock>() {
@Override
public void release() {
//
}
@Override
public void receiveDetections(Detector.Detections<TextBlock> detections) {
final SparseArray<TextBlock> items = detections.getDetectedItems();
if (items.size() != 0) {
builder = new StringBuilder();
for (int i = 0; i < items.size(); i++) {
TextBlock it = items.valueAt(i);
builder.append(it.getValue());
}
String read = builder.toString().trim().replace(" ", "").replace("\n", "");
//It continues doing other things here
}
}
});
}
}
@Override
public void onRequestPermissionsResult(int requestCode, @NonNull String[] permissions, @NonNull int[] grantResults) {
switch (requestCode) {
case 100:
if (grantResults[0] == PackageManager.PERMISSION_GRANTED) {
try {
if (ActivityCompat.checkSelfPermission(getApplicationContext(), Manifest.permission.CAMERA) != PackageManager.PERMISSION_GRANTED) {
return;
}
cameraSource.start(surfaceView.getHolder());
} catch (IOException e) {
e.printStackTrace();
}
}
break;
}
}
}
答案 0 :(得分:0)
当设备处于纵向模式(如您的图片)时,非红色区域应该是“相机预览”的裁剪部分(充满整个屏幕),因此:
我建议您“升级”到 TextureView ,这有点难以管理/使用,但可以通过在其内部纹理上使用矩阵来按需裁剪,缩放和缩放预览。
答案 1 :(得分:0)
我正在尝试对现有代码进行最小的更改,因此请像现在一样扫描整个图像,并过滤掉超出范围的结果单词(或块)。
使用rect.intersect查找bounding-box
中的word
,然后查看它是否在rectangle
(rect
)内:
Rect yourRect = new Rect(10, 20, 30, 40);
rect.intersect(yourRect);//also see Drawable d = d.getBounds();
尝试将此代码添加到您的@Override public void receiveDetections()
方法中:
//Loop through each `Block`
foreach (TextBlock textBlock in blocks)
{
IList<IText> textLines = textBlock.Components;
//loop Through each `Line`
foreach (IText currentLine in textLines)
{
IList<IText> words = currentLine.Components;
//Loop through each `Word`
foreach (IText currentword in words)
{
//Get the Rectangle/BoundingBox of the word
RectF rect = new RectF(currentword.BoundingBox);
// Check if the word boundingBox is inside the area required
// using: rect.intersect(yourRect);
//...
}
所以看起来像这样:
recognizer.setProcessor(new Detector.Processor<TextBlock>() {
@Override
public void release() {
//
}
@Override
public void receiveDetections(Detector.Detections<TextBlock> detections) {
final SparseArray<TextBlock> items = detections.getDetectedItems();
if (items.size() != 0) {
builder = new StringBuilder();
for (int i = 0; i < items.size(); i++) {
TextBlock it = items.valueAt(i);
builder.append(it.getValue());
}
String read = builder.toString().trim().replace(" ", "").replace("\n", "");
List<TextBlock> blocks = new List<TextBlock>();
TextBlock myItem = null;
for (int i = 0; i < items.Size(); ++i)
{
myItem = (TextBlock)items.ValueAt(i);
//Add All TextBlocks to the `blocks` List
blocks.Add(myItem);
}
//Loop through each `Block`
foreach (TextBlock textBlock in blocks)
{
IList<IText> textLines = textBlock.Components;
//loop Through each `Line`
foreach (IText currentLine in textLines)
{
IList<IText> words = currentLine.Components;
//Loop through each `Word`
foreach (IText currentword in words)
{
//Get the Rectangle/BoundingBox of the word
RectF rect = new RectF(currentword.BoundingBox);
// Check if the word boundingBox is inside the area required
// using: rect.intersect(yourRect);
//put the word in a filtered list...
}
}
//It continues doing other things here
}
}
});
只有六行代码!