@Override
protected void releaseData() {
synchronized (this) {
// Explicitly deallocate Mats
if (mRgba != null) mRgba.release();
if (mMarkerImage != null) mMarkerImage.release();
if (mGray != null) mGray.release();
mRgba = null;
mGray = null;
}
markerDetector = null;
}
public void onCameraViewStopped() {
if (img != null) img.release();
if (img_hue != null) img_hue.release();
if (temp != null) temp.release();
if (img_bw1 != null) img_bw1.release();
if (img_bw2 != null) img_bw2.release();
img = null;
img_hue = null;
temp = null;
img_bw1 = null;
img_bw2 = null;
}
@Override
public void run() {
super.run();
synchronized (this) {
// Explicitly deallocate Mats
if (mRgba != null) mRgba.release();
if (mGray != null) mGray.release();
if (mIntermediateMat != null) mIntermediateMat.release();
mRgba = null;
mGray = null;
mIntermediateMat = null;
}
}
// javadoc: buildOpticalFlowPyramid(img, pyramid, winSize, maxLevel, withDerivatives, pyrBorder,
// derivBorder, tryReuseInputImage)
public static int buildOpticalFlowPyramid(
Mat img,
List<Mat> pyramid,
Size winSize,
int maxLevel,
boolean withDerivatives,
int pyrBorder,
int derivBorder,
boolean tryReuseInputImage) {
Mat pyramid_mat = new Mat();
int retVal =
buildOpticalFlowPyramid_0(
img.nativeObj,
pyramid_mat.nativeObj,
winSize.width,
winSize.height,
maxLevel,
withDerivatives,
pyrBorder,
derivBorder,
tryReuseInputImage);
Converters.Mat_to_vector_Mat(pyramid_mat, pyramid);
pyramid_mat.release();
return retVal;
}
private void displayMarkersDebug(Mat imgMat, Scalar contourColor, Scalar codesColor) {
ArrayList<MatOfPoint> components = new ArrayList<MatOfPoint>();
Mat hierarchy = new Mat();
DtouchMarker marker = new DtouchMarker();
boolean markerFound = findMarkers(imgMat, marker, components, hierarchy);
if (markerFound) {
String code = codeArrayToString(marker.getCode());
Point codeLocation = new Point(imgMat.cols() / 4, imgMat.rows() / 8);
Core.putText(mRgba, code, codeLocation, Core.FONT_HERSHEY_COMPLEX, 1, codesColor, 3);
Imgproc.drawContours(
mRgba,
components,
marker.getComponentIndex(),
contourColor,
3,
8,
hierarchy,
2,
new Point(0, 0));
}
if (components != null) components.clear();
if (hierarchy != null) hierarchy.release();
components = null;
hierarchy = null;
}
@Override
public void run() {
super.run();
synchronized (this) {
// Explicitly deallocate Mats
if (mRgba != null) mRgba.release();
if (mGray != null) mGray.release();
if (mCascadeFile != null) mCascadeFile.delete();
if (mNativeDetector != null) mNativeDetector.release();
mRgba = null;
mGray = null;
mCascadeFile = null;
}
}
private void processFrameForMarkersDebug(VideoCapture capture) {
ArrayList<MatOfPoint> components = new ArrayList<MatOfPoint>();
Mat hierarchy = new Mat();
// Get original image.
capture.retrieve(mRgba, Highgui.CV_CAP_ANDROID_COLOR_FRAME_RGBA);
// Get gray scale image.
capture.retrieve(mGray, Highgui.CV_CAP_ANDROID_GREY_FRAME);
// Get image segment to detect marker.
Mat imgSegmentMat = cloneMarkerImageSegment(mGray);
Mat thresholdedImgMat = new Mat(imgSegmentMat.size(), imgSegmentMat.type());
applyThresholdOnImage(imgSegmentMat, thresholdedImgMat);
copyThresholdedImageToRgbImgMat(thresholdedImgMat, mRgba);
Scalar contourColor = new Scalar(0, 0, 255);
Scalar codesColor = new Scalar(255, 0, 0, 255);
displayMarkersDebug(thresholdedImgMat, contourColor, codesColor);
// displayThresholds(mRgba, codesColor, localThresholds);
displayRectOnImageSegment(mRgba, false);
if (components != null) components.clear();
if (hierarchy != null) hierarchy.release();
components = null;
hierarchy = null;
}
// javadoc: buildOpticalFlowPyramid(img, pyramid, winSize, maxLevel)
public static int buildOpticalFlowPyramid(
Mat img, List<Mat> pyramid, Size winSize, int maxLevel) {
Mat pyramid_mat = new Mat();
int retVal =
buildOpticalFlowPyramid_1(
img.nativeObj, pyramid_mat.nativeObj, winSize.width, winSize.height, maxLevel);
Converters.Mat_to_vector_Mat(pyramid_mat, pyramid);
pyramid_mat.release();
return retVal;
}
public static Mat[] getMatArray(byte[] data, Camera camera) {
Camera.Parameters parameters = camera.getParameters();
int width = parameters.getPreviewSize().width;
int height = parameters.getPreviewSize().height;
Mat yuv = new Mat(height + height / 2, width, CvType.CV_8UC1);
Mat rgba = new Mat(height, width, CvType.CV_8UC1);
yuv.put(0, 0, data);
Imgproc.cvtColor(yuv, rgba, Imgproc.COLOR_YUV2RGB_NV21);
Mat rgbaResult = rotateMat(rgba);
Mat grayResult = new Mat(rgbaResult.height(), rgbaResult.width(), CvType.CV_8UC1);
Imgproc.cvtColor(rgbaResult, grayResult, Imgproc.COLOR_BGR2GRAY);
yuv.release();
rgba.release();
Mat[] result = {grayResult, rgbaResult};
return result;
}
private void copyThresholdedImageToRgbImgMat(Mat thresholdedImgMat, Mat dest) {
// convert thresholded image segment to RGB.
Mat smallRegionImg = new Mat();
Imgproc.cvtColor(thresholdedImgMat, smallRegionImg, Imgproc.COLOR_GRAY2BGRA, 4);
// find location of image segment to be replaced in the destination image.
Rect rect = calculateImageSegmentArea(dest);
Mat destSubmat = dest.submat(rect.y, rect.y + rect.height, rect.x, rect.x + rect.width);
// copy image.
smallRegionImg.copyTo(destSubmat);
smallRegionImg.release();
}
// javadoc: Subdiv2D::getVoronoiFacetList(idx, facetList, facetCenters)
public void getVoronoiFacetList(
MatOfInt idx, List<MatOfPoint2f> facetList, MatOfPoint2f facetCenters) {
Mat idx_mat = idx;
Mat facetList_mat = new Mat();
Mat facetCenters_mat = facetCenters;
getVoronoiFacetList_0(
nativeObj, idx_mat.nativeObj, facetList_mat.nativeObj, facetCenters_mat.nativeObj);
Converters.Mat_to_vector_vector_Point2f(facetList_mat, facetList);
facetList_mat.release();
return;
}
public Mat onCameraFrame(Mat inputFrame) {
if (takeScanBase) {
if (scanBase != null) {
scanBase.release();
}
scanBase = new Mat();
scanningMat = new Mat();
Imgproc.cvtColor(inputFrame, scanBase, Imgproc.COLOR_RGB2GRAY);
Imgproc.cvtColor(scanBase, scanningMat, Imgproc.COLOR_GRAY2RGB);
scanBase.release();
hasScanBase = true;
takeScanBase = false;
}
if (hasScanBase) {
Mat ret;
Point p = findLaser(inputFrame);
inputFrame.release();
if (p != null) {
if (hasThermal) {
double temp = mThermal.read();
data[(int) p.y][(int) p.x] = (float) temp;
Core.circle(scanningMat, p, 3, new Scalar(255, 0, 0), -3);
} else {
// Log.v(TAG, "No thermal!");
}
}
return scanningMat;
} else return inputFrame;
}
protected void releaseCamera() {
synchronized (this) {
if (mCamera != null) {
mCamera.stopPreview();
mCamera.release();
}
mCamera = null;
if (mBaseMat != null) mBaseMat.release();
if (mFrameChain != null) {
mFrameChain[0].release();
mFrameChain[1].release();
}
}
}
private ArrayList<Double> applyThresholdOnImage(Mat srcImgMat, Mat outputImgMat) {
double localThreshold;
int startRow;
int endRow;
int startCol;
int endCol;
ArrayList<Double> localThresholds = new ArrayList<Double>();
int numberOfTiles = mPreference.getNumberOfTiles();
int tileWidth = (int) srcImgMat.size().height / numberOfTiles;
int tileHeight = (int) srcImgMat.size().width / numberOfTiles;
// Split image into tiles and apply threshold on each image tile separately.
// process image tiles other than the last one.
for (int tileRowCount = 0; tileRowCount < numberOfTiles; tileRowCount++) {
startRow = tileRowCount * tileWidth;
if (tileRowCount < numberOfTiles - 1) endRow = (tileRowCount + 1) * tileWidth;
else endRow = (int) srcImgMat.size().height;
for (int tileColCount = 0; tileColCount < numberOfTiles; tileColCount++) {
startCol = tileColCount * tileHeight;
if (tileColCount < numberOfTiles - 1) endCol = (tileColCount + 1) * tileHeight;
else endCol = (int) srcImgMat.size().width;
Mat tileThreshold = new Mat();
Mat tileMat = srcImgMat.submat(startRow, endRow, startCol, endCol);
// localThreshold = Imgproc.threshold(tileMat, tileThreshold, 0, 255, Imgproc.THRESH_BINARY
// | Imgproc.THRESH_OTSU);
// RNM: Adaptive threshold rules!
localThreshold = 0x80;
Imgproc.adaptiveThreshold(
tileMat,
tileThreshold,
255,
Imgproc.ADAPTIVE_THRESH_GAUSSIAN_C,
Imgproc.THRESH_BINARY,
91,
2);
Mat copyMat = outputImgMat.submat(startRow, endRow, startCol, endCol);
tileThreshold.copyTo(copyMat);
tileThreshold.release();
localThresholds.add(localThreshold);
}
}
return localThresholds;
}
private void processFrameForMarkersFull(VideoCapture capture, DtouchMarker marker) {
ArrayList<MatOfPoint> components = new ArrayList<MatOfPoint>();
Mat hierarchy = new Mat();
// Get original image.
capture.retrieve(mRgba, Highgui.CV_CAP_ANDROID_COLOR_FRAME_RGBA);
// Get gray scale image.
capture.retrieve(mGray, Highgui.CV_CAP_ANDROID_GREY_FRAME);
// Get image segment to detect marker.
markerPosition = calculateImageSegmentArea(mGray);
Mat imgSegmentMat = cloneMarkerImageSegment(mGray);
// apply threshold.
Mat thresholdedImgMat = new Mat(imgSegmentMat.size(), imgSegmentMat.type());
applyThresholdOnImage(imgSegmentMat, thresholdedImgMat);
imgSegmentMat.release();
// find markers.
boolean markerFound = findMarkers(thresholdedImgMat, marker, components, hierarchy);
thresholdedImgMat.release();
// Marker detected.
if (markerFound) {
setMarkerDetected(true);
// if marker is found then copy the marker image segment.
mMarkerImage = cloneMarkerImageSegment(mRgba);
// display codes on the original image.
// displayMarkerCodes(mRgba, markers);
// display rect with indication that a marker is identified.
displayRectOnImageSegment(mRgba, true);
// display marker image
displayMarkerImage(mMarkerImage, mRgba);
} else displayRectOnImageSegment(mRgba, false);
if (components != null) components.clear();
if (hierarchy != null) hierarchy.release();
components = null;
hierarchy = null;
}
public void onCameraViewStopped() {
// Explicitly deallocate Mats
if (mZoomWindow != null) mZoomWindow.release();
if (mZoomCorner != null) mZoomCorner.release();
if (mBlurWindow != null) mBlurWindow.release();
if (mGrayInnerWindow != null) mGrayInnerWindow.release();
if (mRgbaInnerWindow != null) mRgbaInnerWindow.release();
if (mRgba != null) mRgba.release();
if (mGray != null) mGray.release();
if (mIntermediateMat != null) mIntermediateMat.release();
mRgba = null;
mGray = null;
mIntermediateMat = null;
mRgbaInnerWindow = null;
mGrayInnerWindow = null;
mBlurWindow = null;
mZoomCorner = null;
mZoomWindow = null;
}
private boolean findMarkers(
Mat imgMat, DtouchMarker marker, ArrayList<MatOfPoint> components, Mat hierarchy) {
boolean markerFound = false;
// holds all the markers identified in the camera.
List<DtouchMarker> markersDetected = new ArrayList<DtouchMarker>();
Mat contourImg = imgMat.clone();
// Find blobs using connect component.
Imgproc.findContours(
contourImg, components, hierarchy, Imgproc.RETR_TREE, Imgproc.CHAIN_APPROX_NONE);
// No need to use contourImg so release it.
contourImg.release();
List<Integer> code = new ArrayList<Integer>();
for (int i = 0; i < components.size(); i++) {
// clean this list.
code.clear();
if (markerDetector.verifyRoot(i, hierarchy, code)) {
// if marker found then add in the list.
DtouchMarker markerDetected = new DtouchMarker();
markerDetected.setCode(code);
markerDetected.setComponentIndex(i);
markersDetected.add(markerDetected);
}
}
// if markers are found then decide which marker code occurred most.
if (markersDetected.size() > 0) {
DtouchMarker markerSelected = markerDetector.compareDetectedMarkers(markersDetected);
if (markerSelected != null) {
marker.setCode(markerSelected.getCode());
marker.setComponentIndex(markerSelected.getComponentIndex());
markerFound = true;
}
}
return markerFound;
}
public void onCameraViewStopped() {
Log.i(TAG, "camera view stop");
mGray.release();
mRgba.release();
xface.stopFacedetect();
}
public Point findLaser(Mat inputFrame) {
Mat mHsv = new Mat();
Imgproc.cvtColor(inputFrame, mHsv, Imgproc.COLOR_RGB2HSV);
// Find laser center
Mat center = new Mat();
Core.inRange(mHsv, new Scalar(0, 0, 250), new Scalar(180, 16, 255), center);
Mat h = new Mat();
List<MatOfPoint> contours = new ArrayList<MatOfPoint>();
Imgproc.findContours(center, contours, h, Imgproc.RETR_LIST, Imgproc.CHAIN_APPROX_SIMPLE);
center.release();
Mat center_mask = Mat.zeros(inputFrame.rows(), inputFrame.cols(), CvType.CV_8U);
if (contours.size() > 0) {
for (int i = 0; i < contours.size(); i++) {
int radius = 10;
// Point[] cont_pos = contours.get(i).toArray();
Moments m = Imgproc.moments(contours.get(i));
Point p = new Point();
p.x = m.get_m10() / m.get_m00();
p.y = m.get_m01() / m.get_m00();
Core.circle(center_mask, p, radius * 2, new Scalar(255), -1);
}
}
// Find halo
Mat ranged = new Mat();
Core.inRange(mHsv, new Scalar(100, 32, 225), new Scalar(150, 255, 255), ranged);
mHsv.release();
// Mat f_frame =ranged.clone();
// Find halo around bright dot
Core.bitwise_and(ranged, center_mask, ranged);
center_mask.release();
// Find biggest resulting contour
for (int i = 1; i < contours.size(); i++) {
contours.get(i).release();
}
contours.clear();
Imgproc.findContours(ranged, contours, h, Imgproc.RETR_LIST, Imgproc.CHAIN_APPROX_SIMPLE);
h.release();
ranged.release();
if (contours.size() > 0) {
MatOfPoint biggest_cont = contours.get(0);
double cont_size = Imgproc.contourArea(biggest_cont);
for (int i = 1; i < contours.size(); i++) {
MatOfPoint cur = contours.get(i);
if (Imgproc.contourArea(cur) > cont_size) {
biggest_cont = cur;
cont_size = Imgproc.contourArea(cur);
}
}
Moments m = Imgproc.moments(biggest_cont);
Point p = new Point();
p.x = m.get_m10() / m.get_m00();
p.y = m.get_m01() / m.get_m00();
for (int i = 1; i < contours.size(); i++) {
contours.get(i).release();
}
biggest_cont.release();
return p;
} else {
return null;
}
}
public boolean onTouch(View v, MotionEvent event) {
int cols = mRgba.cols();
int rows = mRgba.rows();
int xOffset = (mOpenCvCameraView.getWidth() - cols) / 2;
int yOffset = (mOpenCvCameraView.getHeight() - rows) / 2;
int x = (int) event.getX() - xOffset;
int y = (int) event.getY() - yOffset;
Log.i(TAG, "Touch image coordinates: (" + x + ", " + y + ")");
if ((x < 0) || (y < 0) || (x > cols) || (y > rows)) return false;
Rect touchedRect = new Rect();
touchedRect.x = (x > 4) ? x - 4 : 0;
touchedRect.y = (y > 4) ? y - 4 : 0;
touchedRect.width = (x + 4 < cols) ? x + 4 - touchedRect.x : cols - touchedRect.x;
touchedRect.height = (y + 4 < rows) ? y + 4 - touchedRect.y : rows - touchedRect.y;
Mat touchedRegionRgba = mRgba.submat(touchedRect);
Mat touchedRegionHsv = new Mat();
Imgproc.cvtColor(touchedRegionRgba, touchedRegionHsv, Imgproc.COLOR_RGB2HSV_FULL);
// Calculate average color of touched region
mBlobColorHsv = Core.sumElems(touchedRegionHsv);
int pointCount = touchedRect.width * touchedRect.height;
for (int i = 0; i < mBlobColorHsv.val.length; i++) mBlobColorHsv.val[i] /= pointCount;
mBlobColorRgba = converScalarHsv2Rgba(mBlobColorHsv);
Log.i(
TAG,
"Touched rgba color: ("
+ mBlobColorRgba.val[0]
+ ", "
+ mBlobColorRgba.val[1]
+ ", "
+ mBlobColorRgba.val[2]
+ ", "
+ mBlobColorRgba.val[3]
+ ")");
mDetector.setHsvColor(mBlobColorHsv);
Imgproc.resize(mDetector.getSpectrum(), mSpectrum, SPECTRUM_SIZE);
mIsColorSelected = true;
final Handler handler = new Handler();
Runnable runable =
new Runnable() {
@Override
public void run() {
try {
// do your code here
hehe.setText(abc.toString());
if (abc > 16000 && abc < 25000) {
imageView.setImageResource(R.drawable.green1);
} else {
imageView.setImageResource(R.drawable.red1);
}
// also call the same runnable
handler.postDelayed(this, 1000);
} catch (Exception e) {
// TODO: handle exception
} finally {
// also call the same runnable
// handler.postDelayed(this, 1000);
}
}
};
handler.postDelayed(runable, 1000);
touchedRegionRgba.release();
touchedRegionHsv.release();
return false; // don't need subsequent touch events
}
public void onCameraViewStopped() {
mGray.release();
mRgba.release();
}
@Override
public void onCameraViewStopped() {
mRgba.release();
}
public void destroy() {
if (srcImage != null) srcImage.release();
if (spherifiedImage != null) spherifiedImage.release();
}
public void releaseMat() {
new_image.release();
}
/**
* @param inputImg
* @return Mat
*/
public static Mat kmeans(Mat inputImg) {
Mat rgba = inputImg;
Mat tempMat = inputImg;
rgba = new Mat(inputImg.cols(), inputImg.rows(), CvType.CV_8UC3);
inputImg.copyTo(rgba);
List<Mat> hsv_planes_temp = new ArrayList<Mat>(3);
Core.split(tempMat, hsv_planes_temp);
double threshValue1 = PreProcessingOperation.getHistAverage(inputImg, hsv_planes_temp.get(0));
sample.util.Estimate.setFirstHistAverageValue(threshValue1);
System.out.println("Defore eqau " + threshValue1);
System.out.println(
Estimate.getBlueAverage() + " ;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;");
if (threshValue1 > 140) {
if (Estimate.getBlueAverage() > 110) {
rgba.convertTo(rgba, -1, 10d * 31 / 100, 0);
System.out.println("11");
} else {
rgba.convertTo(rgba, -1, 10d * 40 / 100, 0);
System.out.println("12");
}
} else if (threshValue1 > 135) {
rgba.convertTo(rgba, -1, 10d * 32 / 100, 0);
System.out.println("21");
} else if (threshValue1 > 125) {
if (Estimate.getBlueAverage() > 110) {
rgba.convertTo(rgba, -1, 10d * 30 / 100, 0);
rgba = PreProcessing.Dilate(rgba, 5);
System.out.println("31");
} else {
rgba.convertTo(rgba, -1, 10d * 37 / 100, 0);
System.out.println("32");
}
} else if (threshValue1 > 120) {
rgba.convertTo(rgba, -1, 10d * 35 / 100, 0);
System.out.println("41");
} else if (threshValue1 > 110) {
if (Estimate.getBlueAverage() > 110) {
rgba.convertTo(rgba, -1, 10d * 35 / 100, 0);
rgba = PreProcessing.Dilate(rgba, 5);
System.out.println("51");
}
} else if (threshValue1 > 100) {
if (Estimate.getBlueAverage() > 107) {
rgba.convertTo(rgba, -1, 10d * 24 / 100, 0);
rgba = PreProcessing.Dilate(rgba, 5);
System.out.println("61");
} else if (Estimate.getBlueAverage() > 90) {
rgba.convertTo(rgba, -1, 10d * 30 / 100, 0);
rgba = PreProcessing.Dilate(rgba, 5);
System.out.println("62");
}
} else if (threshValue1 > 50) {
if (Estimate.getBlueAverage() > 160) {
rgba.convertTo(rgba, -1, 10d * 30 / 100, 0);
rgba = PreProcessing.Dilate(rgba, 3);
System.out.println("81");
} else if (Estimate.getBlueAverage() > 160) {
rgba.convertTo(rgba, -1, 10d * 27 / 100, 0);
rgba = PreProcessing.Dilate(rgba, 9);
System.out.println("82");
} else if (Estimate.getBlueAverage() > 130) {
rgba.convertTo(rgba, -1, 10d * 30 / 100, 0);
rgba = PreProcessing.Dilate(rgba, 9);
System.out.println("83");
} else if (Estimate.getBlueAverage() > 70) {
rgba.convertTo(rgba, -1, 10d * 29 / 100, 0);
rgba = PreProcessing.Dilate(rgba, 9);
System.out.println("84");
}
} else if (threshValue1 > 30) {
if (Estimate.getBlueAverage() > 190) {
rgba.convertTo(rgba, -1, 10d * 25 / 100, 0);
System.out.println("91");
} else if (Estimate.getBlueAverage() > 160) {
rgba.convertTo(rgba, -1, 10d * 35 / 100, 0);
System.out.println("92");
}
} else {
if (Estimate.getBlueAverage() > 240) {
rgba.convertTo(rgba, -1, 10d * 24 / 100, 0);
System.out.println("7");
} else {
rgba.convertTo(rgba, -1, 10d * 17 / 100, 0);
System.out.println("7");
}
}
tempMat.release();
Mat mHSV = new Mat();
Imgproc.cvtColor(rgba, mHSV, Imgproc.COLOR_RGBA2RGB, 3);
Imgproc.cvtColor(rgba, mHSV, Imgproc.COLOR_RGB2HSV, 3);
List<Mat> hsv_planes = new ArrayList<Mat>(3);
Core.split(mHSV, hsv_planes);
Mat channel = hsv_planes.get(0);
channel = Mat.zeros(mHSV.rows(), mHSV.cols(), CvType.CV_8UC1);
hsv_planes.set(2, channel);
Core.merge(hsv_planes, mHSV);
mHSV.convertTo(mHSV, CvType.CV_8UC1);
mHSV = Histogram(mHSV);
/*
Mat clusteredHSV = new Mat();
mHSV.convertTo(mHSV, CvType.CV_32FC3);
TermCriteria criteria = new TermCriteria(TermCriteria.EPS + TermCriteria.MAX_ITER,100,0.1);
Core.kmeans(mHSV, 1, clusteredHSV, criteria, 20, Core.KMEANS_PP_CENTERS);
Mat hsvImg = new Mat();
List<Mat> hsvPlanes = new ArrayList<>();
Mat thresholdImg = new Mat();
int thresh_type = Imgproc.THRESH_BINARY_INV;
hsvImg.create(mHSV.size(), CvType.CV_8U);
Imgproc.cvtColor(mHSV, hsvImg, Imgproc.COLOR_BGR2HSV);
Core.split(hsvImg, hsvPlanes);
Imgproc.threshold(hsvPlanes.get(1), thresholdImg, 0 , 200 , thresh_type);
double threshValue = PreProcessingOperation.getHistAverage(hsvImg, hsvPlanes.get(0));
Estimate.setSecondHistAverageValue(threshValue);
System.out.println("After equa " + Estimate.getSecondHistAverageValue());*/
Imgproc.threshold(mHSV, mHSV, 0, 150, Imgproc.THRESH_BINARY_INV);
// mHSV.convertTo(mHSV, CvType.CV_8UC1);
return mHSV;
}
public void onCameraViewStopped() {
mGray.release();
mRgba.release();
mZoomWindow.release();
mZoomWindow2.release();
}
