Java Code Examples for org.opencv.android.CameraBridgeViewBase#CvCameraViewFrame
The following examples show how to use
org.opencv.android.CameraBridgeViewBase#CvCameraViewFrame .
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Example 1
| Source File: MainActivity.java From MOAAP with MIT License | 7 votes |
|
@Override
public Mat onCameraFrame(CameraBridgeViewBase.CvCameraViewFrame inputFrame) {
//Rotating the input frame
Mat mGray = inputFrame.gray();
mRgba = inputFrame.rgba();
if (mIsFrontCamera)
{
Core.flip(mRgba, mRgba, 1);
Core.flip(mGray, mGray, 1);
}
//Detecting face in the frame
MatOfRect faces = new MatOfRect();
if(haarCascade != null)
{
haarCascade.detectMultiScale(mGray, faces, 1.1, 2, 2, new Size(200,200), new Size());
}
Rect[] facesArray = faces.toArray();
for (int i = 0; i < facesArray.length; i++)
Imgproc.rectangle(mRgba, facesArray[i].tl(), facesArray[i].br(), new Scalar(100), 3);
return mRgba;
}
Example 2
| 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 3
| Source File: FtcTestGripVision.java From FtcSamples with MIT License | 6 votes |
|
/**
* This method is called on every captured camera frame. It will do face detection on the
* captured frame.
*
* @param inputFrame specifies the captured frame object.
*/
@Override
public Mat onCameraFrame(CameraBridgeViewBase.CvCameraViewFrame inputFrame)
{
//
// Get rid of the old unconsumed image if any.
//
if (image != null)
{
image.release();
image = null;
}
//
// Get a fresh image.
//
image = inputFrame.rgba();
return image;
}
Example 4
| Source File: DetectionActivity.java From Android-Face-Recognition-with-Deep-Learning-Test-Framework with Apache License 2.0 | 6 votes |
|
@Override
public Mat onCameraFrame(CameraBridgeViewBase.CvCameraViewFrame inputFrame) {
Mat imgRgba = inputFrame.rgba();
Mat img = new Mat();
imgRgba.copyTo(img);
List<Mat> images = ppF.getCroppedImage(img);
Rect[] faces = ppF.getFacesForRecognition();
// Selfie / Mirror mode
if(front_camera){
Core.flip(imgRgba,imgRgba,1);
}
if(images == null || images.size() == 0 || faces == null || faces.length == 0 || ! (images.size() == faces.length)){
// skip
return imgRgba;
} else {
faces = MatOperation.rotateFaces(imgRgba, faces, ppF.getAngleForRecognition());
for(int i = 0; i<faces.length; i++){
MatOperation.drawRectangleAndLabelOnPreview(imgRgba, faces[i], "", front_camera);
}
return imgRgba;
}
}
Example 5
| Source File: RecognitionActivity.java From Android-Face-Recognition-with-Deep-Learning-Test-Framework with Apache License 2.0 | 6 votes |
|
public Mat onCameraFrame(CameraBridgeViewBase.CvCameraViewFrame inputFrame) {
Mat imgRgba = inputFrame.rgba();
Mat img = new Mat();
imgRgba.copyTo(img);
List<Mat> images = ppF.getProcessedImage(img, PreProcessorFactory.PreprocessingMode.RECOGNITION);
Rect[] faces = ppF.getFacesForRecognition();
// Selfie / Mirror mode
if(front_camera){
Core.flip(imgRgba,imgRgba,1);
}
if(images == null || images.size() == 0 || faces == null || faces.length == 0 || ! (images.size() == faces.length)){
// skip
return imgRgba;
} else {
faces = MatOperation.rotateFaces(imgRgba, faces, ppF.getAngleForRecognition());
for(int i = 0; i<faces.length; i++){
MatOperation.drawRectangleAndLabelOnPreview(imgRgba, faces[i], rec.recognize(images.get(i), ""), front_camera);
}
return imgRgba;
}
}
Example 6
| Source File: OpenCvCamera.java From opencv-documentscanner-android with Apache License 2.0 | 5 votes |
|
@Override
public Mat onCameraFrame(CameraBridgeViewBase.CvCameraViewFrame inputFrame) {
// input frame has RGBA format
mRgba = inputFrame.rgba();
mGray = inputFrame.gray();
doWithMat(mGray.getNativeObjAddr(), mRgba.getNativeObjAddr());
return mRgba;
}
Example 7
| Source File: DetectActivity.java From FaceDetectDemo with Apache License 2.0 | 5 votes |
|
@Override
// 这里执行人脸检测的逻辑, 根据OpenCV提供的例子实现(face-detection)
public Mat onCameraFrame(CameraBridgeViewBase.CvCameraViewFrame inputFrame) {
mRgba = inputFrame.rgba();
mGray = inputFrame.gray();
// 翻转矩阵以适配前后置摄像头
if (isFrontCamera) {
Core.flip(mRgba, mRgba, 1);
Core.flip(mGray, mGray, 1);
} else {
Core.flip(mRgba, mRgba, -1);
Core.flip(mGray, mGray, -1);
}
float mRelativeFaceSize = 0.2f;
if (mAbsoluteFaceSize == 0) {
int height = mGray.rows();
if (Math.round(height * mRelativeFaceSize) > 0) {
mAbsoluteFaceSize = Math.round(height * mRelativeFaceSize);
}
}
MatOfRect faces = new MatOfRect();
if (classifier != null)
classifier.detectMultiScale(mGray, faces, 1.1, 2, 2,
new Size(mAbsoluteFaceSize, mAbsoluteFaceSize), new Size());
Rect[] facesArray = faces.toArray();
Scalar faceRectColor = new Scalar(0, 255, 0, 255);
for (Rect faceRect : facesArray)
Imgproc.rectangle(mRgba, faceRect.tl(), faceRect.br(), faceRectColor, 3);
return mRgba;
}
Example 8
| Source File: UndistortionFrameRender.java From OpenCV-AndroidSamples with MIT License | 5 votes |
|
@Override
public Mat render(CameraBridgeViewBase.CvCameraViewFrame inputFrame) {
Mat renderedFrame = new Mat(inputFrame.rgba().size(), inputFrame.rgba().type());
Imgproc.undistort(inputFrame.rgba(), renderedFrame,
mCalibrator.getCameraMatrix(), mCalibrator.getDistortionCoefficients());
return renderedFrame;
}
Example 9
| Source File: AuthenticationActivity.java From ml-authentication with Apache License 2.0 | 4 votes |
|
@Override
public Mat onCameraFrame(CameraBridgeViewBase.CvCameraViewFrame inputFrame) {
Mat imgRgba = inputFrame.rgba();
// Do not change screen brightness manually during test phase, due to the unknown location of the different test users.
// M.Schälchli 20170129
// if (isDeviceRooted){
// DetectionHelper.setIncreasedScreenBrightness(getApplicationContext(), imgRgba);
// }
long currentTime = new Date().getTime();
if ((!tensorFlowLoadingThread.isAlive()) && ((startTimeAuthenticationAnimation + AUTHENTICATION_ANIMATION_TIME) < currentTime)){
prepareForAuthentication();
if (!recognitionThread.isAlive() && recognitionThreadStarted) {
List<Student> students = recognitionThread.getRecognizedStudent();
Student student = new Student();
if (students.size() == 1){
student = students.get(0);
}
numberOfTries++;
Log.i(getClass().getName(), "Number of authentication/recognition tries: " + numberOfTries);
if ((student != null) && (students.size() == 1)) {
AuthenticationHelper.updateCurrentStudent(student, getApplicationContext(), false);
finish();
} else if (numberOfTries >= NUMBER_OF_MAXIMUM_TRIES) {
startStudentImageCollectionActivity(true);
}
recognitionThreadStarted = false;
}
Mat imgCopy = new Mat();
// Store original image for face recognition
imgRgba.copyTo(imgCopy);
// Mirror front camera image
Core.flip(imgRgba,imgRgba,1);
Rect face = new Rect();
boolean isFaceInsideFrame = false;
boolean faceDetected = false;
List<Mat> images = ppF.getCroppedImage(imgCopy);
if (images != null && images.size() == 1){
Mat img = images.get(0);
if (img != null){
Rect[] faces = ppF.getFacesForRecognition();
if (faces != null && faces.length == 1){
faces = MatOperation.rotateFaces(imgRgba, faces, ppF.getAngleForRecognition());
face = faces[0];
faceDetected = true;
// Reset startTimeFallback for fallback timeout, because at least one face has been detected
startTimeFallback = currentTime;
isFaceInsideFrame = DetectionHelper.isFaceInsideFrame(animalOverlay, imgRgba, face);
if (isFaceInsideFrame){
if (!recognitionThread.isAlive() && !recognitionThreadStarted){
if (!activityStopped){
mediaPlayerAnimalSound.start();
recognitionThread = new RecognitionThread(tensorFlow, studentImageCollectionEventDao);
recognitionThread.setImg(img);
recognitionThread.start();
recognitionThreadStarted = true;
}
}
}
}
}
}
if (faceDetected && !isFaceInsideFrame && !activityStopped){
DetectionHelper.drawArrowFromFaceToFrame(animalOverlay, imgRgba, face);
AuthenticationInstructionHelper.playTabletPlacementOverlay(mediaPlayerTabletPlacement, mediaPlayerTabletPlacementOverlay, mediaPlayerAnimalSound);
}
if (DetectionHelper.shouldFallbackActivityBeStarted(startTimeFallback, currentTime)){
// Prevent from second execution of fallback activity because of threading
startTimeFallback = currentTime;
DetectionHelper.startFallbackActivity(getApplicationContext(), getClass().getName());
finish();
}
EnvironmentSettings.freeMemory();
}
return imgRgba;
}
Example 10
| Source File: MainActivity.java From opencv-android-sample with MIT License | 4 votes |
|
public Mat onCameraFrame(CameraBridgeViewBase.CvCameraViewFrame inputFrame) {
// return performFindFeatures(inputFrame);
return performIncreaseContrast(inputFrame);
}
Example 11
| Source File: PreviewFrameRender.java From OpenCV-AndroidSamples with MIT License | 4 votes |
|
@Override
public Mat render(CameraBridgeViewBase.CvCameraViewFrame inputFrame) {
return inputFrame.rgba();
}
Example 12
| Source File: VisionEnabledActivity.java From FTCVision with MIT License | 4 votes |
|
@Override
public Mat onCameraFrame(CameraBridgeViewBase.CvCameraViewFrame inputFrame) {
opMode.loop();
opMode.fps.update();
return opMode.frame(inputFrame.rgba(), inputFrame.gray());
}
Example 13
| 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 14
| Source File: StudentImageCollectionActivity.java From ml-authentication with Apache License 2.0 | 4 votes |
|
@Override
public Mat onCameraFrame(CameraBridgeViewBase.CvCameraViewFrame inputFrame) {
final Mat imgRgba = inputFrame.rgba();
// Do not change screen brightness manually during test phase, due to the unknown location of the different test users.
// M.Schälchli 20170129
// if (isDeviceRooted){
// DetectionHelper.setIncreasedScreenBrightness(getApplicationContext(), imgRgba);
// }
long currentTime = new Date().getTime();
if (authenticationAnimationAlreadyPlayed || ((startTimeAuthenticationAnimation + AuthenticationActivity.AUTHENTICATION_ANIMATION_TIME) < currentTime)){
prepareForAuthentication();
Mat imgCopy = new Mat();
// Store original image for face recognition
imgRgba.copyTo(imgCopy);
// Mirror front camera image
Core.flip(imgRgba,imgRgba,1);
Rect face = new Rect();
boolean isFaceInsideFrame = false;
boolean faceDetected = false;
if((lastTime + TIMER_DIFF) < currentTime){
lastTime = currentTime;
List<Mat> images = ppF.getCroppedImage(imgCopy);
if((images != null) && (images.size() == 1)){
Mat img = images.get(0);
if(img != null) {
Rect[] faces = ppF.getFacesForRecognition();
if ((faces != null) && (faces.length == 1)) {
faces = MatOperation.rotateFaces(imgRgba, faces, ppF.getAngleForRecognition());
face = faces[0];
faceDetected = true;
// Reset startTimeFallback for fallback timeout, because at least one face has been detected
startTimeFallback = currentTime;
isFaceInsideFrame = DetectionHelper.isFaceInsideFrame(animalOverlay, imgRgba, face);
if (isFaceInsideFrame){
if (!activityStopped){
mediaPlayerAnimalSound.start();
studentImages.add(img);
// Stop after NUMBER_OF_IMAGES (settings option)
if(imagesProcessed == NUMBER_OF_IMAGES){
storeStudentImages();
finish();
}
imagesProcessed++;
}
}
}
}
}
}
if (DetectionHelper.shouldFallbackActivityBeStarted(startTimeFallback, currentTime)){
// Prevent from second execution of fallback activity because of threading
startTimeFallback = currentTime;
DetectionHelper.startFallbackActivity(getApplicationContext(), getClass().getName());
finish();
}
if (faceDetected && !isFaceInsideFrame && !activityStopped){
DetectionHelper.drawArrowFromFaceToFrame(animalOverlay, imgRgba, face);
AuthenticationInstructionHelper.playTabletPlacementOverlay(mediaPlayerTabletPlacement, mediaPlayerTabletPlacementOverlay, mediaPlayerAnimalSound);
}
EnvironmentSettings.freeMemory();
}
return imgRgba;
}
Example 15
| Source File: AuthenticationActivity.java From ml-authentication with Apache License 2.0 | 4 votes |
|
@Override
public Mat onCameraFrame(CameraBridgeViewBase.CvCameraViewFrame inputFrame) {
Mat imgRgba = inputFrame.rgba();
// Do not change screen brightness manually during test phase, due to the unknown location of the different test users.
// M.Schälchli 20170129
// if (isDeviceRooted){
// DetectionHelper.setIncreasedScreenBrightness(getApplicationContext(), imgRgba);
// }
long currentTime = new Date().getTime();
if ((!tensorFlowLoadingThread.isAlive()) && ((startTimeAuthenticationAnimation + AUTHENTICATION_ANIMATION_TIME) < currentTime)){
prepareForAuthentication();
if (!recognitionThread.isAlive() && recognitionThreadStarted) {
List<Student> students = recognitionThread.getRecognizedStudent();
Student student = new Student();
if (students.size() == 1){
student = students.get(0);
}
numberOfTries++;
Log.i(getClass().getName(), "Number of authentication/recognition tries: " + numberOfTries);
if ((student != null) && (students.size() == 1)) {
AuthenticationHelper.updateCurrentStudent(student, getApplicationContext(), false);
finish();
} else if (numberOfTries >= NUMBER_OF_MAXIMUM_TRIES) {
startStudentImageCollectionActivity(true);
}
recognitionThreadStarted = false;
}
Mat imgCopy = new Mat();
// Store original image for face recognition
imgRgba.copyTo(imgCopy);
// Mirror front camera image
Core.flip(imgRgba,imgRgba,1);
Rect face = new Rect();
boolean isFaceInsideFrame = false;
boolean faceDetected = false;
List<Mat> images = ppF.getCroppedImage(imgCopy);
if (images != null && images.size() == 1){
Mat img = images.get(0);
if (img != null){
Rect[] faces = ppF.getFacesForRecognition();
if (faces != null && faces.length == 1){
faces = MatOperation.rotateFaces(imgRgba, faces, ppF.getAngleForRecognition());
face = faces[0];
faceDetected = true;
// Reset startTimeFallback for fallback timeout, because at least one face has been detected
startTimeFallback = currentTime;
isFaceInsideFrame = DetectionHelper.isFaceInsideFrame(animalOverlay, imgRgba, face);
if (isFaceInsideFrame){
if (!recognitionThread.isAlive() && !recognitionThreadStarted){
if (!activityStopped){
mediaPlayerAnimalSound.start();
recognitionThread = new RecognitionThread(tensorFlow, studentImageCollectionEventDao);
recognitionThread.setImg(img);
recognitionThread.start();
recognitionThreadStarted = true;
}
}
}
}
}
}
if (faceDetected && !isFaceInsideFrame && !activityStopped){
DetectionHelper.drawArrowFromFaceToFrame(animalOverlay, imgRgba, face);
AuthenticationInstructionHelper.playTabletPlacementOverlay(mediaPlayerTabletPlacement, mediaPlayerTabletPlacementOverlay, mediaPlayerAnimalSound);
}
if (DetectionHelper.shouldFallbackActivityBeStarted(startTimeFallback, currentTime)){
// Prevent from second execution of fallback activity because of threading
startTimeFallback = currentTime;
DetectionHelper.startFallbackActivity(getApplicationContext(), getClass().getName());
finish();
}
EnvironmentSettings.freeMemory();
}
return imgRgba;
}
Example 16
| Source File: StudentImageCollectionActivity.java From ml-authentication with Apache License 2.0 | 4 votes |
|
@Override
public Mat onCameraFrame(CameraBridgeViewBase.CvCameraViewFrame inputFrame) {
final Mat imgRgba = inputFrame.rgba();
// Do not change screen brightness manually during test phase, due to the unknown location of the different test users.
// M.Schälchli 20170129
// if (isDeviceRooted){
// DetectionHelper.setIncreasedScreenBrightness(getApplicationContext(), imgRgba);
// }
long currentTime = new Date().getTime();
if (authenticationAnimationAlreadyPlayed || ((startTimeAuthenticationAnimation + AuthenticationActivity.AUTHENTICATION_ANIMATION_TIME) < currentTime)){
prepareForAuthentication();
Mat imgCopy = new Mat();
// Store original image for face recognition
imgRgba.copyTo(imgCopy);
// Mirror front camera image
Core.flip(imgRgba,imgRgba,1);
Rect face = new Rect();
boolean isFaceInsideFrame = false;
boolean faceDetected = false;
if((lastTime + TIMER_DIFF) < currentTime){
lastTime = currentTime;
List<Mat> images = ppF.getCroppedImage(imgCopy);
if((images != null) && (images.size() == 1)){
Mat img = images.get(0);
if(img != null) {
Rect[] faces = ppF.getFacesForRecognition();
if ((faces != null) && (faces.length == 1)) {
faces = MatOperation.rotateFaces(imgRgba, faces, ppF.getAngleForRecognition());
face = faces[0];
faceDetected = true;
// Reset startTimeFallback for fallback timeout, because at least one face has been detected
startTimeFallback = currentTime;
isFaceInsideFrame = DetectionHelper.isFaceInsideFrame(animalOverlay, imgRgba, face);
if (isFaceInsideFrame){
if (!activityStopped){
mediaPlayerAnimalSound.start();
studentImages.add(img);
// Stop after NUMBER_OF_IMAGES (settings option)
if(imagesProcessed == NUMBER_OF_IMAGES){
storeStudentImages();
finish();
}
imagesProcessed++;
}
}
}
}
}
}
if (DetectionHelper.shouldFallbackActivityBeStarted(startTimeFallback, currentTime)){
// Prevent from second execution of fallback activity because of threading
startTimeFallback = currentTime;
DetectionHelper.startFallbackActivity(getApplicationContext(), getClass().getName());
finish();
}
if (faceDetected && !isFaceInsideFrame && !activityStopped){
DetectionHelper.drawArrowFromFaceToFrame(animalOverlay, imgRgba, face);
AuthenticationInstructionHelper.playTabletPlacementOverlay(mediaPlayerTabletPlacement, mediaPlayerTabletPlacementOverlay, mediaPlayerAnimalSound);
}
EnvironmentSettings.freeMemory();
}
return imgRgba;
}
Example 17
| Source File: FtcTestOpenCv.java From FtcSamples with MIT License | 4 votes |
|
/**
* This method is called on every captured camera frame. It will do face detection on the
* captured frame.
*
* @param inputFrame specifies the captured frame object.
*/
@Override
public Mat onCameraFrame(CameraBridgeViewBase.CvCameraViewFrame inputFrame)
{
final String funcName = "onCameraFrame";
//
// Subject the captured frame for face detection. The face detector produces an array
// of rectangles representing faces detected.
//
if (doColor)
{
image = inputFrame.rgba();
}
else
{
image = inputFrame.gray();
doOverlayImage = false;
}
// rotateImage(image, image, 90.0);
long startTime = System.currentTimeMillis();
faceDetector.detectMultiScale(image, faceRects);
long elapsedTime = System.currentTimeMillis() - startTime;
if (perfCheckEnabled)
{
totalProcessingTime += elapsedTime;
framesProcessed++;
}
//
// We may want to overlay a circle or rectangle on each detected faces or
// we can overlay a fun image onto a detected face. Play with the code in
// this for-loop and let your imagination run wild.
//
Rect[] rects = faceRects.toArray();
int maxArea = 0;
int maxIndex = -1;
//
// Draw rectangles on faces found and find the largest face.
//
for (int i = 0; i < rects.length; i++)
{
//
// Overlay a rectangle on the detected faces.
//
if (overlayRectangle)
{
Imgproc.rectangle(image, rects[i].tl(), rects[i].br(), FACE_RECT_COLOR, 3);
}
//
// Find the largest detected face.
//
if (doOverlayImage)
{
int area = rects[i].width * rects[i].height;
if (area > maxArea)
{
maxArea = area;
maxIndex = i;
}
}
}
//
// Overlay an image only on the largest detected face.
//
if (doOverlayImage && maxIndex != -1)
{
//
// Scale the fun image to the same size as the face.
//
Mat scaledOverlay = new Mat();
Imgproc.resize(overlayImage, scaledOverlay, rects[maxIndex].size());
//
// Overlay the scaled image to the camera image.
//
combineImage(image, scaledOverlay, rects[maxIndex].x, rects[maxIndex].y);
}
return image;
}
Example 18
| Source File: MainActivity.java From opencv-android-sample with MIT License | 4 votes |
|
protected Mat performIncreaseContrast(CameraBridgeViewBase.CvCameraViewFrame inputFrame) {
mRgba = inputFrame.rgba();
IncreaseContrast(mRgba.getNativeObjAddr());
return mRgba;
}
Example 19
| Source File: MainActivity.java From pasm-yolov3-Android with GNU General Public License v3.0 | 4 votes |
|
@Override
public Mat onCameraFrame(CameraBridgeViewBase.CvCameraViewFrame inputFrame) {
mRgba = inputFrame.rgba();
return inputFrame.rgba();
}
Example 20
| Source File: FrameRender.java From OpenCV-AndroidSamples with MIT License | votes |
|
public abstract Mat render(CameraBridgeViewBase.CvCameraViewFrame inputFrame);
