Java Code Examples for org.opencv.imgproc.Imgproc#putText()
The following examples show how to use
org.opencv.imgproc.Imgproc#putText() .
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Example 1
| Source File: VideoFaceTests.java From super-cloudops with Apache License 2.0 | 6 votes |
|
/**
* OpenCV-4.0.0 人脸识别
*
* @date: 2019年5月7日12:16:55
* @param image
* 待处理Mat图片(视频中的某一帧)
* @return 处理后的图片
* @throws IOException
*/
public static Mat getFace(Mat image) throws IOException {
// 1 读取OpenCV自带的人脸识别特征XML文件
File faceFile = new ClassPathResourcePatternResolver().getResource("opencv/data/haarcascade_frontalface_alt.xml")
.getFile();
CascadeClassifier facebook = new CascadeClassifier(faceFile.getAbsolutePath());
// 2 特征匹配类
MatOfRect face = new MatOfRect();
// 3 特征匹配
facebook.detectMultiScale(image, face);
Rect[] rects = face.toArray();
System.out.println("匹配到 " + rects.length + " 个人脸");
// 4 为每张识别到的人脸画一个圈
for (int i = 0; i < rects.length; i++) {
Imgproc.rectangle(image, new Point(rects[i].x, rects[i].y),
new Point(rects[i].x + rects[i].width, rects[i].y + rects[i].height), new Scalar(0, 255, 0));
Imgproc.putText(image, "Human", new Point(rects[i].x, rects[i].y), Imgproc.FONT_HERSHEY_SCRIPT_SIMPLEX, 1.0,
new Scalar(0, 255, 0), 1, Imgproc.LINE_AA, false);
// Mat dst=image.clone();
// Imgproc.resize(image, image, new Size(300,300));
}
return image;
}
Example 2
| Source File: DogeCVDetector.java From DogeCV with GNU General Public License v3.0 | 6 votes |
|
@Override
public final Mat processFrame(Mat input) {
size = input.size();
Log.d("DogeCVDetector", "Input mat size:" + input.size());
input.copyTo(workingMat);
if(workingMat.empty()){
return input;
}
workingMat = process(workingMat);
//Print Info
Imgproc.putText(workingMat,"DogeCV 2020.1 " + detectorName + ": " + stageToRenderToViewport.toString(), new Point(5,30),0,0.5,new Scalar(0,255,255),2);
return workingMat;
}
Example 3
| Source File: MainActivity.java From MOAAP with MIT License | 6 votes |
|
static Mat drawMatches(Mat img1, MatOfKeyPoint key1, Mat img2, MatOfKeyPoint key2, MatOfDMatch matches, boolean imageOnly){
//https://github.com/mustafaakin/image-matcher/tree/master/src/in/mustafaak/imagematcher
Mat out = new Mat();
Mat im1 = new Mat();
Mat im2 = new Mat();
Imgproc.cvtColor(img1, im1, Imgproc.COLOR_GRAY2RGB);
Imgproc.cvtColor(img2, im2, Imgproc.COLOR_GRAY2RGB);
if ( imageOnly){
MatOfDMatch emptyMatch = new MatOfDMatch();
MatOfKeyPoint emptyKey1 = new MatOfKeyPoint();
MatOfKeyPoint emptyKey2 = new MatOfKeyPoint();
Features2d.drawMatches(im1, emptyKey1, im2, emptyKey2, emptyMatch, out);
} else {
Features2d.drawMatches(im1, key1, im2, key2, matches, out);
}
//Bitmap bmp = Bitmap.createBitmap(out.cols(), out.rows(), Bitmap.Config.ARGB_8888);
Imgproc.cvtColor(out, out, Imgproc.COLOR_BGR2RGB);
Imgproc.putText(out, "Frame", new Point(img1.width() / 2,30), Core.FONT_HERSHEY_PLAIN, 2, new Scalar(0,255,255),3);
Imgproc.putText(out, "Match", new Point(img1.width() + img2.width() / 2,30), Core.FONT_HERSHEY_PLAIN, 2, new Scalar(255,0,0),3);
return out;
}
Example 4
| Source File: ComparisonFrameRender.java From OpenCV-AndroidSamples with MIT License | 6 votes |
|
@Override
public Mat render(CameraBridgeViewBase.CvCameraViewFrame inputFrame) {
Mat undistortedFrame = new Mat(inputFrame.rgba().size(), inputFrame.rgba().type());
Imgproc.undistort(inputFrame.rgba(), undistortedFrame,
mCalibrator.getCameraMatrix(), mCalibrator.getDistortionCoefficients());
Mat comparisonFrame = inputFrame.rgba();
undistortedFrame.colRange(new Range(0, mWidth / 2)).copyTo(comparisonFrame.colRange(new Range(mWidth / 2, mWidth)));
List<MatOfPoint> border = new ArrayList<MatOfPoint>();
final int shift = (int)(mWidth * 0.005);
border.add(new MatOfPoint(new Point(mWidth / 2 - shift, 0), new Point(mWidth / 2 + shift, 0),
new Point(mWidth / 2 + shift, mHeight), new Point(mWidth / 2 - shift, mHeight)));
Imgproc.fillPoly(comparisonFrame, border, new Scalar(255, 255, 255));
Imgproc.putText(comparisonFrame, mResources.getString(R.string.original), new Point(mWidth * 0.1, mHeight * 0.1),
Core.FONT_HERSHEY_SIMPLEX, 1.0, new Scalar(255, 255, 0));
Imgproc.putText(comparisonFrame, mResources.getString(R.string.undistorted), new Point(mWidth * 0.6, mHeight * 0.1),
Core.FONT_HERSHEY_SIMPLEX, 1.0, new Scalar(255, 255, 0));
return comparisonFrame;
}
Example 5
| Source File: ImageProcessor.java From pasm-yolov3-Android with GNU General Public License v3.0 | 5 votes |
|
public Mat drawBoxes(List<Classifier.Recognition> boxes, double confidenceThreshold){
rgbImage.copyTo(boxesImage);
Scalar color;
for (Classifier.Recognition box : boxes) {
Log.i(TAG, String.valueOf(box));
if (box.getTitle().equals("person")) {
if (box.getConfidence() > confidenceThreshold) {
// color.val[0] = (color.val[0] + 25) % 255;
// color.val[1] = (color.val[1] + 35) % 255;
// color.val[2] = (color.val[2] + 45) % 255;
color = colors.get(box.getTitle());
Point pt1 = new Point(box.getLocation().left * widthRatio, box.getLocation().top * heightRatio);
Point pt2 = new Point(box.getLocation().right * widthRatio, box.getLocation().bottom * heightRatio);
Imgproc.rectangle(boxesImage, pt1, pt2, color, 3, 8);
Point pt3 = new Point(box.getLocation().left * widthRatio, box.getLocation().top * heightRatio);
Point pt4 = new Point(Math.min(box.getLocation().right, box.getLocation().left + (box.getTitle().length() * 13)) * widthRatio, (box.getLocation().top + 11) * heightRatio);
Imgproc.rectangle(boxesImage, pt3, pt4, color, FILLED, 8);
pt1.set(new double[]{pt1.x + 2 * heightRatio, (pt1.y + 10 * heightRatio)});
Imgproc.putText(boxesImage, box.getTitle(), pt1, Core.FONT_HERSHEY_SIMPLEX, 0.4 * heightRatio, (isLight(color) ? BLACK : WHITE), (int) (1 * heightRatio), LINE_AA);
}
}
}
return boxesImage;
}
Example 6
| Source File: MainActivity.java From MOAAP with MIT License | 5 votes |
|
public Mat onCameraFrame(CvCameraViewFrame inputFrame) {
//Get image size and draw a rectangle on the image for reference
Mat temp = inputFrame.rgba();
Imgproc.rectangle(temp, new Point(temp.cols()/2 - 200, temp.rows() / 2 - 200), new Point(temp.cols() / 2 + 200, temp.rows() / 2 + 200), new Scalar(255,255,255),1);
Mat digit = temp.submat(temp.rows()/2 - 180, temp.rows() / 2 + 180, temp.cols() / 2 - 180, temp.cols() / 2 + 180).clone();
Core.transpose(digit,digit);
int predict_result = mnist.FindMatch(digit);
Imgproc.putText(temp, Integer.toString(predict_result), new Point(50, 150), FONT_HERSHEY_SIMPLEX, 3.0, new Scalar(0, 0, 255), 5);
return temp;
}
Example 7
| Source File: Drawing.java From FTCVision with MIT License | 5 votes |
|
public static void drawText(Mat img, String text, Point origin, float scale, Color color, Anchor locationOnImage) {
if (locationOnImage == Anchor.BOTTOMLEFT)
Transform.flip(img, Transform.FlipType.FLIP_ACROSS_Y);
Imgproc.putText(img, text, origin, Core.FONT_HERSHEY_SIMPLEX, scale, color.getScalarRGBA(), 2, Core.LINE_8,
(locationOnImage == Anchor.BOTTOMLEFT || locationOnImage == Anchor.BOTTOMLEFT_UNFLIPPED_Y));
if (locationOnImage == Anchor.BOTTOMLEFT)
Transform.flip(img, Transform.FlipType.FLIP_ACROSS_Y);
}
Example 8
| Source File: Puzzle15Processor.java From OpenCV-AndroidSamples with MIT License | 5 votes |
|
public synchronized Mat puzzleFrame(Mat inputPicture) {
Mat[] cells = new Mat[GRID_AREA];
int rows = inputPicture.rows();
int cols = inputPicture.cols();
rows = rows - rows%4;
cols = cols - cols%4;
for (int i = 0; i < GRID_SIZE; i++) {
for (int j = 0; j < GRID_SIZE; j++) {
int k = i * GRID_SIZE + j;
cells[k] = inputPicture.submat(i * inputPicture.rows() / GRID_SIZE, (i + 1) * inputPicture.rows() / GRID_SIZE, j * inputPicture.cols()/ GRID_SIZE, (j + 1) * inputPicture.cols() / GRID_SIZE);
}
}
rows = rows - rows%4;
cols = cols - cols%4;
// copy shuffled tiles
for (int i = 0; i < GRID_AREA; i++) {
int idx = mIndexes[i];
if (idx == GRID_EMPTY_INDEX)
mCells15[i].setTo(GRID_EMPTY_COLOR);
else {
cells[idx].copyTo(mCells15[i]);
if (mShowTileNumbers) {
Imgproc.putText(mCells15[i], Integer.toString(1 + idx), new Point((cols / GRID_SIZE - mTextWidths[idx]) / 2,
(rows / GRID_SIZE + mTextHeights[idx]) / 2), 3/* CV_FONT_HERSHEY_COMPLEX */, 1, new Scalar(255, 0, 0, 255), 2);
}
}
}
for (int i = 0; i < GRID_AREA; i++)
cells[i].release();
drawGrid(cols, rows, mRgba15);
return mRgba15;
}
Example 9
| Source File: CameraActivity.java From AndroidObjectDetection-OpenCV with MIT License | 4 votes |
|
@Override
public Mat onCameraFrame(CvCameraViewFrame inputFrame) {
Mat frame = inputFrame.rgba();
Imgproc.cvtColor(frame, frame, Imgproc.COLOR_RGBA2RGB);
Size frame_size = new Size(416, 416);
Scalar mean = new Scalar(127.5);
Mat blob = Dnn.blobFromImage(frame, 1.0 / 255.0, frame_size, mean, true, false);
//save_mat(blob);
net.setInput(blob);
List<Mat> result = new ArrayList<>();
List<String> outBlobNames = net.getUnconnectedOutLayersNames();
net.forward(result, outBlobNames);
float confThreshold = 0.5f;
for (int i = 0; i < result.size(); ++i) {
// each row is a candidate detection, the 1st 4 numbers are
// [center_x, center_y, width, height], followed by (N-4) class probabilities
Mat level = result.get(i);
for (int j = 0; j < level.rows(); ++j) {
Mat row = level.row(j);
Mat scores = row.colRange(5, level.cols());
Core.MinMaxLocResult mm = Core.minMaxLoc(scores);
float confidence = (float) mm.maxVal;
Point classIdPoint = mm.maxLoc;
if (confidence > confThreshold) {
int centerX = (int) (row.get(0, 0)[0] * frame.cols());
int centerY = (int) (row.get(0, 1)[0] * frame.rows());
int width = (int) (row.get(0, 2)[0] * frame.cols());
int height = (int) (row.get(0, 3)[0] * frame.rows());
int left = (int) (centerX - width * 0.5);
int top =(int)(centerY - height * 0.5);
int right =(int)(centerX + width * 0.5);
int bottom =(int)(centerY + height * 0.5);
Point left_top = new Point(left, top);
Point right_bottom=new Point(right, bottom);
Point label_left_top = new Point(left, top-5);
DecimalFormat df = new DecimalFormat("#.##");
int class_id = (int) classIdPoint.x;
String label= classNames.get(class_id) + ": " + df.format(confidence);
Scalar color= colors.get(class_id);
Imgproc.rectangle(frame, left_top,right_bottom , color, 3, 2);
Imgproc.putText(frame, label, label_left_top, Imgproc.FONT_HERSHEY_SIMPLEX, 1, new Scalar(0, 0, 0), 4);
Imgproc.putText(frame, label, label_left_top, Imgproc.FONT_HERSHEY_SIMPLEX, 1, new Scalar(255, 255, 255), 2);
}
}
}
return frame;
}
Example 10
| Source File: StoneDetector.java From DogeCV with GNU General Public License v3.0 | 4 votes |
|
@Override
public Mat process(Mat input) {
screenPositions.clear();
foundRects.clear();
input.copyTo(rawImage);
input.copyTo(workingMat);
input.copyTo(displayMat);
input.copyTo(yellowMask);
// Imgproc.GaussianBlur(workingMat,workingMat,new Size(5,5),0);
filter.process(workingMat.clone(), yellowMask);
List<MatOfPoint> contoursYellow = new ArrayList<>();
Imgproc.findContours(yellowMask, contoursYellow, hierarchy, Imgproc.RETR_TREE, Imgproc.CHAIN_APPROX_SIMPLE);
Imgproc.drawContours(displayMat,contoursYellow,-1,new Scalar(230,70,70),2);
// Current result
ArrayList<Rect> bestRects = new ArrayList<>();
double bestDifference = Double.MAX_VALUE; // MAX_VALUE since less difference = better
Collections.sort(contoursYellow, new Comparator<MatOfPoint>() {
@Override
public int compare(MatOfPoint matOfPoint, MatOfPoint t1) {
return calculateScore(matOfPoint) > calculateScore(t1) ? 1 : 0;
}
});
List<MatOfPoint> subList = contoursYellow;
if (contoursYellow.size() > stonesToFind) {
subList = contoursYellow.subList(0, stonesToFind);
}
for (MatOfPoint contour : subList) {
Rect rect = Imgproc.boundingRect(contour);
// Show chosen result
Imgproc.rectangle(displayMat, rect.tl(), rect.br(), new Scalar(255, 0, 0), 4);
Imgproc.putText(displayMat, "Chosen", rect.tl(), 0, 1, new Scalar(255, 255, 255));
screenPositions.add(new Point(rect.x, rect.y));
foundRects.add(rect);
}
if (foundRects.size() > 0) {
found = true;
}
else {
found = false;
}
switch (stageToRenderToViewport) {
case THRESHOLD: {
Imgproc.cvtColor(yellowMask, yellowMask, Imgproc.COLOR_GRAY2BGR);
return yellowMask;
}
case RAW_IMAGE: {
return rawImage;
}
default: {
return displayMat;
}
}
}
Example 11
| Source File: MatOperation.java From Android-Face-Recognition-with-Deep-Learning-Library with Apache License 2.0 | 4 votes |
|
public static void drawRectangleAndLabelOnPreview(Mat img, Rect face, String label, boolean front_camera){
Point tl = drawRectangleOnPreview(img, face, front_camera);
Imgproc.putText(img, label, tl, Core.FONT_HERSHEY_PLAIN, FONT_SIZE, FACE_RECT_COLOR, THICKNESS);
}
Example 12
| Source File: CVRenderer.java From faceswap with Apache License 2.0 | 4 votes |
|
public Mat onCameraFrame(CameraBridgeViewBase.CvCameraViewFrame inputFrame) {
Imgproc.cvtColor(inputFrame.rgba(), displayFrame, Imgproc.COLOR_BGRA2BGR);
if (this.delegate!=null){
//TODO: needed so that bg encoding won't interfere with foreground getting a new image
displayFrame.copyTo(transmitFrame);
delegate.onCVPreviewAvailable(transmitFrame);
}
synchronized (this.faces){
for (Face face:faces){
int[] roi = face.realRoi;
boundryCheck(roi, displayFrame.width(), displayFrame.height());
Point leftTop=new Point(roi[0], roi[1]);
Point rightBottom=new Point(roi[2], roi[3]);
if (face.isRenderring && face.argbMat!=null){
rightBottom=new Point(roi[0]+face.argbMat.width(),
roi[1]+face.argbMat.height());
Rect pRoi = new Rect(roi[0],roi[1],
face.argbMat.width(), face.argbMat.height());
Log.d("debug", "pRoi : " + pRoi.toString());
Log.d("debug", "display frame width : " + displayFrame.width()
+ " display frame height: " + displayFrame.height());
Mat pRoiMat=displayFrame.submat(pRoi);
Log.d("debug", "display frame width : " + displayFrame.width()
+ " display frame height: " + displayFrame.height());
face.argbMat.copyTo(pRoiMat);
}
Imgproc.rectangle(displayFrame,
leftTop,
rightBottom,
new Scalar(255, 0, 0));
Imgproc.putText(displayFrame,
face.getName(),
new Point(roi[0], roi[1]),
0,
0.8,
new Scalar(255,255,0));
}
}
Log.d(LOG_TAG, "rendered");
return displayFrame;
// Mat pRoi=mRgba.submat(10,10+replaceImg.width(),10,10+replaceImg.height());
// Log.d("debug", "mat width: " + pRoi.width() + " height: " + pRoi.height());
// Log.d("debug", "img width: " + replaceImg.width() + " height: " + replaceImg.height());
// replaceImg.copyTo(pRoi);
}
Example 13
| Source File: FXController.java From Face-Recognition with Apache License 2.0 | 4 votes |
|
/**
* Method for face detection and tracking
*
* @param frame
* it looks for faces in this frame
*/
private void detectAndDisplay(Mat frame)
{
MatOfRect faces = new MatOfRect();
Mat grayFrame = new Mat();
// convert the frame in gray scale
Imgproc.cvtColor(frame, grayFrame, Imgproc.COLOR_BGR2GRAY);
// equalize the frame histogram to improve the result
Imgproc.equalizeHist(grayFrame, grayFrame);
// compute minimum face size (20% of the frame height, in our case)
if (this.absoluteFaceSize == 0)
{
int height = grayFrame.rows();
if (Math.round(height * 0.2f) > 0)
{
this.absoluteFaceSize = Math.round(height * 0.2f);
}
}
// detect faces
this.faceCascade.detectMultiScale(grayFrame, faces, 1.1, 2, 0 | Objdetect.CASCADE_SCALE_IMAGE,
new Size(this.absoluteFaceSize, this.absoluteFaceSize), new Size());
// each rectangle in faces is a face: draw them!
Rect[] facesArray = faces.toArray();
for (int i = 0; i < facesArray.length; i++) {
Imgproc.rectangle(frame, facesArray[i].tl(), facesArray[i].br(), new Scalar(0, 255, 0), 3);
// Crop the detected faces
Rect rectCrop = new Rect(facesArray[i].tl(), facesArray[i].br());
Mat croppedImage = new Mat(frame, rectCrop);
// Change to gray scale
Imgproc.cvtColor(croppedImage, croppedImage, Imgproc.COLOR_BGR2GRAY);
// Equalize histogram
Imgproc.equalizeHist(croppedImage, croppedImage);
// Resize the image to a default size
Mat resizeImage = new Mat();
Size size = new Size(250,250);
Imgproc.resize(croppedImage, resizeImage, size);
// check if 'New user' checkbox is selected
// if yes start collecting training data (50 images is enough)
if ((newUser.isSelected() && !newname.isEmpty())) {
if (index<20) {
Imgcodecs.imwrite("resources/trainingset/combined/" +
random + "-" + newname + "_" + (index++) + ".png", resizeImage);
}
}
// int prediction = faceRecognition(resizeImage);
double[] returnedResults = faceRecognition(resizeImage);
double prediction = returnedResults[0];
double confidence = returnedResults[1];
// System.out.println("PREDICTED LABEL IS: " + prediction);
int label = (int) prediction;
String name = "";
if (names.containsKey(label)) {
name = names.get(label);
} else {
name = "Unknown";
}
// Create the text we will annotate the box with:
// String box_text = "Prediction = " + prediction + " Confidence = " + confidence;
String box_text = "Prediction = " + name + " Confidence = " + confidence;
// Calculate the position for annotated text (make sure we don't
// put illegal values in there):
double pos_x = Math.max(facesArray[i].tl().x - 10, 0);
double pos_y = Math.max(facesArray[i].tl().y - 10, 0);
// And now put it into the image:
Imgproc.putText(frame, box_text, new Point(pos_x, pos_y),
Core.FONT_HERSHEY_PLAIN, 1.0, new Scalar(0, 255, 0, 2.0));
}
}
Example 14
| Source File: CameraCalibrator.java From OpenCV-AndroidSamples with MIT License | 4 votes |
|
private void renderFrame(Mat rgbaFrame) {
drawPoints(rgbaFrame);
Imgproc.putText(rgbaFrame, "Captured: " + mCornersBuffer.size(), new Point(rgbaFrame.cols() / 3 * 2, rgbaFrame.rows() * 0.1),
Core.FONT_HERSHEY_SIMPLEX, 1.0, new Scalar(255, 255, 0));
}
