android - Android：如何使用 openCv 将对象放在屏幕的特定位置？
问题描述
编辑：
如果有人可以建议任何链接或帖子，我将非常感激。我试图从两天内找到解决方案，但我找不到任何解决方案。提前谢谢你。
我正在尝试将一个对象（图像）放在屏幕的特定位置在 android 中使用 openCv。
我确实有像“{680.0, 488.0}”这样的点，它具有（x，y）坐标，
那么如何在我的屏幕上找到放置对象的特定位置？
下面是我得到点的代码：
public Mat onCameraFrame(CvCameraViewFrame inputFrame) {
mRgba = inputFrame.rgba();
mGray = inputFrame.gray();
iThreshold = minTresholdSeekbar.getProgress();
//Imgproc.blur(mRgba, mRgba, new Size(5,5));
Imgproc.GaussianBlur(mRgba, mRgba, new org.opencv.core.Size(3, 3), 1, 1);
//Imgproc.medianBlur(mRgba, mRgba, 3);
if (!mIsColorSelected) return mRgba;
List<MatOfPoint> contours = mDetector.getContours();
mDetector.process(mRgba);
Log.d(TAG, "Contours count: " + contours.size());
if (contours.size() <= 0) {
return mRgba;
}
RotatedRect rect = Imgproc.minAreaRect(new MatOfPoint2f(contours.get(0).toArray()));
double boundWidth = rect.size.width;
double boundHeight = rect.size.height;
int boundPos = 0;
for (int i = 1; i < contours.size(); i++) {
rect = Imgproc.minAreaRect(new MatOfPoint2f(contours.get(i).toArray()));
if (rect.size.width * rect.size.height > boundWidth * boundHeight) {
boundWidth = rect.size.width;
boundHeight = rect.size.height;
boundPos = i;
}
}
Rect boundRect = Imgproc.boundingRect(new MatOfPoint(contours.get(boundPos).toArray()));
//Core/Imgproc.rectangle( mRgba, boundRect.tl(), boundRect.br(), CONTOUR_COLOR_WHITE, 2, 8, 0 );
Log.d(TAG,
" Row start [" +
(int) boundRect.tl().y + "] row end [" +
(int) boundRect.br().y + "] Col start [" +
(int) boundRect.tl().x + "] Col end [" +
(int) boundRect.br().x + "]");
int rectHeightThresh = 0;
double a = boundRect.br().y - boundRect.tl().y;
a = a * 0.7;
a = boundRect.tl().y + a;
Log.d(TAG,
" A [" + a + "] br y - tl y = [" + (boundRect.br().y - boundRect.tl().y) + "]");
//Core.rectangle( mRgba, boundRect.tl(), boundRect.br(), CONTOUR_COLOR, 2, 8, 0 );
//Core/Imgproc.rectangle( mRgba, boundRect.tl(), new Point(boundRect.br().x, a), CONTOUR_COLOR, 2, 8, 0 );
MatOfPoint2f pointMat = new MatOfPoint2f();
Imgproc.approxPolyDP(new MatOfPoint2f(contours.get(boundPos).toArray()), pointMat, 3, true);
contours.set(boundPos, new MatOfPoint(pointMat.toArray()));
MatOfInt hull = new MatOfInt();
MatOfInt4 convexDefect = new MatOfInt4();
Imgproc.convexHull(new MatOfPoint(contours.get(boundPos).toArray()), hull);
if (hull.toArray().length < 3) return mRgba;
Imgproc.convexityDefects(new MatOfPoint(contours.get(boundPos).toArray()), hull, convexDefect);
List<MatOfPoint> hullPoints = new LinkedList<MatOfPoint>();
List<Point> listPo = new LinkedList<Point>();
for (int j = 0; j < hull.toList().size(); j++) {
listPo.add(contours.get(boundPos).toList().get(hull.toList().get(j)));
}
MatOfPoint e = new MatOfPoint();
e.fromList(listPo);
hullPoints.add(e);
List<MatOfPoint> defectPoints = new LinkedList<MatOfPoint>();
List<Point> listPoDefect = new LinkedList<Point>();
for (int j = 0; j < convexDefect.toList().size(); j = j + 4) {
Point farPoint = contours.get(boundPos).toList().get(convexDefect.toList().get(j + 2));
Integer depth = convexDefect.toList().get(j + 3);
if (depth > iThreshold && farPoint.y < a) {
listPoDefect.add(contours.get(boundPos).toList().get(convexDefect.toList().get(j + 2)));
}
Log.d(TAG, "defects [" + j + "] " + convexDefect.toList().get(j + 3));
}
MatOfPoint e2 = new MatOfPoint();
e2.fromList(listPo);
defectPoints.add(e2);
Log.d(TAG, "hull: " + hull.toList());
Log.d(TAG, "defects: " + convexDefect.toList());
Imgproc.drawContours(mRgba, hullPoints, -1, CONTOUR_COLOR, 3);
int defectsTotal = (int) convexDefect.total();
Log.d(TAG, "Defect total " + defectsTotal);
this.numberOfFingers = listPoDefect.size();
if (this.numberOfFingers > 5) {
this.numberOfFingers = 5;
} /*else if (this.numberOfFingers == 1) {
this.numberOfFingers = 0;
}
*/
mHandler.post(mUpdateFingerCountResults);
runOnUiThread(new Runnable() {
@Override
public void run() {
ring.setVisibility(View.VISIBLE);
/*LinearLayout.LayoutParams parms = new LinearLayout.LayoutParams(10,10);
ring.setLayoutParams(parms);*/
}
});
for (Point p : listPoDefect) {
Log.e("Points", p.toString());
// Imgproc.circle(mRgba, p, 6, new Scalar(255,0,255));
}
return mRgba;
}
以下是我用来保存图像和显示的方法。现在我需要将戒指戴在捕获的手指上。
private void saveImage() {
if (MainActivity.listPoDefect.size() >= 5) {
mIsColorSelected = false;
if (listPoDefect.size() != 0) {
for (Point p :listPoDefect) {
Log.d(TAG, "before sorting X =" + String.valueOf(p.x) + " Y = " + String.valueOf(p.y));
}
Collections.sort(listPoDefect, new Comparator<Point>() {
public int compare(Point o1, Point o2) {
return Double.compare(o1.x, o2.x);
}
});
Log.d(TAG, "After Sorting ");
for (Point p : listPoDefect) {
Log.d(TAG, "after sorting X =" + String.valueOf(p.x) + " Y = " + String.valueOf(p.y));
}
}
mIsColorSelected = false;
Bitmap bitmap5 = Bitmap.createBitmap(mRgbaWithoutLine.cols(), mRgbaWithoutLine.rows(), Bitmap.Config.ARGB_8888);
Utils.matToBitmap(mRgbaWithoutLine, bitmap5);
bitmap = bitmap5;
//Create a new image bitmap and attach a brand new canvas to it
Bitmap tempBitmap = Bitmap.createBitmap(bitmap5.getWidth(), bitmap5.getHeight(), Bitmap.Config.RGB_565);
Canvas tempCanvas = new Canvas(tempBitmap);
//Draw the image bitmap into the cavas
tempCanvas.drawBitmap(bitmap5, 0, 0, null);
double scaledWidth = bitmap5.getWidth();
double scaledHeight = bitmap5.getHeight();
double xScaleFactor = scaledWidth / bitmap5.getWidth();
double yScaleFactor = scaledHeight / bitmap5.getHeight();
Paint myRectPaint = new Paint();
myRectPaint.setStyle(Paint.Style.STROKE);
myRectPaint.setColor(Color.RED);
myRectPaint.setStrokeWidth(5);
myRectPaint.setAntiAlias(true);
//this is zeroth position manipulation
double differenceX= listPoDefect.get(2).x-listPoDefect.get(1).x;
double differenceY= listPoDefect.get(2).y-listPoDefect.get(1).y;
double zeroPostionX=listPoDefect.get(1).x-differenceX;
double zeroPostionY=listPoDefect.get(1).y-differenceY;
Point pointZeroths=listPoDefect.get(0);
Point pointNew=new Point(zeroPostionX,zeroPostionY);
listPoDefect.remove(0);
listPoDefect.add(0,pointNew);
double thirdPostionX=listPoDefect.get(2).x+differenceX;
double thirdPostionY=listPoDefect.get(2).y+differenceY;
Point thirdpointNew=new Point(thirdPostionX,thirdPostionY);
listPoDefect.remove(3);
listPoDefect.add(3,thirdpointNew);
// Point pointNewThird=new Point(pointthird.x+differenc,pointthird.y);
// HomeActivity.listPoDefect.remove(3);
// HomeActivity.listPoDefect.add(3,pointNewThird);
Paint paint_text = new Paint();
paint_text.setColor(Color.WHITE);
paint_text.setStyle(Paint.Style.FILL);
paint_text.setTextSize(30);
for (int row = 0; row < 4; row++) { // draw 2 rows
Point point1 = null;
point1 = listPoDefect.get(row);
android.graphics.Point canvas_point1 = new android.graphics.Point((int) ((point1.x * xScaleFactor)), (int) ((point1.y * yScaleFactor)));
Log.d(TAG, "after sorting canvas_point1 ="+"Raw ="+row +" " + String.valueOf(canvas_point1.x) + " Y = " + String.valueOf(canvas_point1.y));
Log.d(TAG, "====================================================================================================");
if(pointFListGraphies.size()!=4)
{
pointFListGraphies.add(new PointF(canvas_point1));
}
// tempCanvas.drawRect(canvas_point1.x, canvas_point1.y, canvas_point1.x + 130, canvas_point1.y + 50, myRectPaint);
// tempCanvas.drawText(String.valueOf(row+"-"+canvas_point1.x), canvas_point1.x, canvas_point1.y, paint_text);
}
Log.d(TAG, "====================================================================================================");
for (int row = 0; row < pointFListGraphies.size(); row++) { // draw 2 rows
PointF point1 = null;
point1 = pointFListGraphies.get(row);
Log.d(TAG, "=========pointF X="+point1.x +"poninF Y =" +point1.y);
}
tempbitmap = tempBitmap;
handImage.setVisibility(View.VISIBLE);
handImage.setImageBitmap(tempbitmap);
/* Bitmap src = BitmapFactory.decodeResource(getResources(), R.drawable.ring);
tempCanvas.drawBitmap();*/
onCameraViewStopped();
//finish();
}
else {
}
}
谁能帮我？提前致谢。
解决方案
OpenCV 有许多用于在图像上书写的功能，这通常是您在屏幕上显示的内容。
例如，在特定位置写入文本的功能是
void cv::putText ( InputOutputArray img,
const String & text,
Point org,
int fontFace,
double fontScale,
Scalar color,
int thickness = 1,
int lineType = LINE_8,
bool bottomLeftOrigin = false
)
参数是：
Parameters
img Image.
text Text string to be drawn.
org Bottom-left corner of the text string in the image.
fontFace Font type, see cv::HersheyFonts.
fontScale Font scale factor that is multiplied by the font-specific base size.
color Text color.
thickness Thickness of the lines used to draw a text.
lineType Line type. See the line for details.
bottomLeftOrigin When true, the image data origin is at the bottom-left corner. Otherwise, it is at the top-left corner.
您可以在此处找到绘图功能的概述：https ://docs.opencv.org/3.1.0/dc/da5/tutorial_py_drawing_functions.html
在您的情况下，只要您的图像覆盖整个屏幕，就可以准确地绘制您想要文本、对象或任何您想要绘制的内容的位置。
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